fix(deep_crawling): fix priority queue ordering and link truncation in BestFirstCrawlingStrategy - ref #1253

This commit fixes two critical issues in BestFirstCrawlingStrategy:

1. Priority Queue Ordering:
   - Problem: asyncio.PriorityQueue is a min-heap, causing lower-scored URLs to be crawled first
   - Solution: Use negative scores as priority to achieve max-heap behavior
   - Result: Higher-scoring pages are now correctly prioritized and crawled first

2. Link Discovery Truncation:
   - Problem: Links were truncated before scoring, potentially discarding high-value pages
   - Solution: Score all valid links first, sort by score, then truncate to capacity
   - Result: Only the highest-scoring links are kept when capacity limits are reached

Changes:
- Modified link_discovery to score URLs before truncation
- Updated priority queue to use negative scores for proper ordering
- Changed tuple structure to include pre-calculated scores
- Added logging to show when high-scoring URLs are being kept

This ensures best-first crawling behavior works as documented, with higher-value
pages being prioritized over lower-value ones.

.githooks/pre-commit

@@ -1,31 +0,0 @@
-#!/bin/bash
-# Pre-commit hook: Auto-sync cnode files when cnode source is modified
-
-# Colors
-RED='\033[0;31m'
-GREEN='\033[0;32m'
-YELLOW='\033[1;33m'
-NC='\033[0m'
-
-# Check if cnode source files are being committed
-CNODE_FILES_CHANGED=$(git diff --cached --name-only | grep -E "deploy/docker/(cnode_cli|server_manager)\.py")
-
-if [ -n "$CNODE_FILES_CHANGED" ]; then
-    echo -e "${YELLOW}🔄 cnode source files modified, auto-syncing to package...${NC}"
-
-    # Run sync script
-    if [ -f "deploy/installer/sync-cnode.sh" ]; then
-        bash deploy/installer/sync-cnode.sh
-
-        # Stage the synced files
-        git add deploy/installer/cnode_pkg/cli.py
-        git add deploy/installer/cnode_pkg/server_manager.py
-
-        echo -e "${GREEN}✅ cnode package synced and staged${NC}"
-    else
-        echo -e "${RED}❌ Error: sync-cnode.sh not found${NC}"
-        exit 1
-    fi
-fi
-
-exit 0

.github/FUNDING.yml

@@ -1,7 +0,0 @@
-# These are supported funding model platforms
-
-# GitHub Sponsors
-github: unclecode
-
-# Custom links for enterprise inquiries (uncomment when ready)
-# custom: ["https://crawl4ai.com/enterprise"]

.github/workflows/docker-release.yml

@@ -1,81 +0,0 @@
-name: Docker Release
-on:
-  release:
-    types: [published]
-  push:
-    tags:
-      - 'docker-rebuild-v*'  # Allow manual Docker rebuilds via tags
-
-jobs:
-  docker:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Extract version from release or tag
-        id: get_version
-        run: |
-          if [ "${{ github.event_name }}" == "release" ]; then
-            # Triggered by release event
-            VERSION="${{ github.event.release.tag_name }}"
-            VERSION=${VERSION#v}  # Remove 'v' prefix
-          else
-            # Triggered by docker-rebuild-v* tag
-            VERSION=${GITHUB_REF#refs/tags/docker-rebuild-v}
-          fi
-          echo "VERSION=$VERSION" >> $GITHUB_OUTPUT
-          echo "Building Docker images for version: $VERSION"
-
-      - name: Extract major and minor versions
-        id: versions
-        run: |
-          VERSION=${{ steps.get_version.outputs.VERSION }}
-          MAJOR=$(echo $VERSION | cut -d. -f1)
-          MINOR=$(echo $VERSION | cut -d. -f1-2)
-          echo "MAJOR=$MAJOR" >> $GITHUB_OUTPUT
-          echo "MINOR=$MINOR" >> $GITHUB_OUTPUT
-          echo "Semantic versions - Major: $MAJOR, Minor: $MINOR"
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Log in to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_USERNAME }}
-          password: ${{ secrets.DOCKER_TOKEN }}
-
-      - name: Build and push Docker images
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          push: true
-          tags: |
-            unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
-            unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}
-            unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}
-            unclecode/crawl4ai:latest
-          platforms: linux/amd64,linux/arm64
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
-
-      - name: Summary
-        run: |
-          echo "## 🐳 Docker Release Complete!" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "### Published Images" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:latest\`" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "### Platforms" >> $GITHUB_STEP_SUMMARY
-          echo "- linux/amd64" >> $GITHUB_STEP_SUMMARY
-          echo "- linux/arm64" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "### 🚀 Pull Command" >> $GITHUB_STEP_SUMMARY
-          echo "\`\`\`bash" >> $GITHUB_STEP_SUMMARY
-          echo "docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
-          echo "\`\`\`" >> $GITHUB_STEP_SUMMARY

.github/workflows/docs/ARCHITECTURE.md

@@ -1,917 +0,0 @@
-# Workflow Architecture Documentation
-
-## Overview
-
-This document describes the technical architecture of the split release pipeline for Crawl4AI.
-
----
-
-## Architecture Diagram
-
-```
-┌─────────────────────────────────────────────────────────────────┐
-│                         Developer                                │
-│                              │                                   │
-│                              ▼                                   │
-│                    git tag v1.2.3                               │
-│                    git push --tags                              │
-└──────────────────────────────┬──────────────────────────────────┘
-                               │
-                               ▼
-┌─────────────────────────────────────────────────────────────────┐
-│                      GitHub Repository                           │
-│                                                                  │
-│  ┌────────────────────────────────────────────────────────┐   │
-│  │                  Tag Event: v1.2.3                      │   │
-│  └────────────────────────────────────────────────────────┘   │
-│                              │                                   │
-│                              ▼                                   │
-│  ┌────────────────────────────────────────────────────────┐   │
-│  │           release.yml (Release Pipeline)               │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 1. Extract Version                            │     │   │
-│  │  │    v1.2.3 → 1.2.3                            │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 2. Validate Version                           │     │   │
-│  │  │    Tag == __version__.py                      │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 3. Build Python Package                       │     │   │
-│  │  │    - Source dist (.tar.gz)                    │     │   │
-│  │  │    - Wheel (.whl)                             │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 4. Upload to PyPI                             │     │   │
-│  │  │    - Authenticate with token                  │     │   │
-│  │  │    - Upload dist/*                            │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 5. Create GitHub Release                      │     │   │
-│  │  │    - Tag: v1.2.3                              │     │   │
-│  │  │    - Body: Install instructions               │     │   │
-│  │  │    - Status: Published                        │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  └────────────────────────────────────────────────────────┘   │
-│                              │                                   │
-│                              ▼                                   │
-│  ┌────────────────────────────────────────────────────────┐   │
-│  │         Release Event: published (v1.2.3)              │   │
-│  └────────────────────────────────────────────────────────┘   │
-│                              │                                   │
-│                              ▼                                   │
-│  ┌────────────────────────────────────────────────────────┐   │
-│  │         docker-release.yml (Docker Pipeline)           │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 1. Extract Version from Release               │     │   │
-│  │  │    github.event.release.tag_name → 1.2.3     │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 2. Parse Semantic Versions                    │     │   │
-│  │  │    1.2.3 → Major: 1, Minor: 1.2              │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 3. Setup Multi-Arch Build                     │     │   │
-│  │  │    - Docker Buildx                            │     │   │
-│  │  │    - QEMU emulation                           │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 4. Authenticate Docker Hub                    │     │   │
-│  │  │    - Username: DOCKER_USERNAME                │     │   │
-│  │  │    - Token: DOCKER_TOKEN                      │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 5. Build Multi-Arch Images                    │     │   │
-│  │  │    ┌────────────────┬────────────────┐       │     │   │
-│  │  │    │  linux/amd64   │  linux/arm64   │       │     │   │
-│  │  │    └────────────────┴────────────────┘       │     │   │
-│  │  │    Cache: GitHub Actions (type=gha)          │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  │  ┌──────────────────────────────────────────────┐     │   │
-│  │  │ 6. Push to Docker Hub                         │     │   │
-│  │  │    Tags:                                      │     │   │
-│  │  │    - unclecode/crawl4ai:1.2.3                │     │   │
-│  │  │    - unclecode/crawl4ai:1.2                  │     │   │
-│  │  │    - unclecode/crawl4ai:1                    │     │   │
-│  │  │    - unclecode/crawl4ai:latest               │     │   │
-│  │  └──────────────────────────────────────────────┘     │   │
-│  └────────────────────────────────────────────────────────┘   │
-└─────────────────────────────────────────────────────────────────┘
-                               │
-                               ▼
-┌─────────────────────────────────────────────────────────────────┐
-│                     External Services                            │
-│                                                                  │
-│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐         │
-│  │    PyPI      │  │  Docker Hub  │  │   GitHub     │         │
-│  │              │  │              │  │              │         │
-│  │  crawl4ai    │  │ unclecode/   │  │  Releases    │         │
-│  │  1.2.3       │  │ crawl4ai     │  │  v1.2.3      │         │
-│  └──────────────┘  └──────────────┘  └──────────────┘         │
-└─────────────────────────────────────────────────────────────────┘
-```
-
----
-
-## Component Details
-
-### 1. Release Pipeline (release.yml)
-
-#### Purpose
-Fast publication of Python package and GitHub release.
-
-#### Input
-- **Trigger**: Git tag matching `v*` (excluding `test-v*`)
-- **Example**: `v1.2.3`
-
-#### Processing Stages
-
-##### Stage 1: Version Extraction
-```bash
-Input:  refs/tags/v1.2.3
-Output: VERSION=1.2.3
-```
-
-**Implementation**:
-```bash
-TAG_VERSION=${GITHUB_REF#refs/tags/v}  # Remove 'refs/tags/v' prefix
-echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT
-```
-
-##### Stage 2: Version Validation
-```bash
-Input:  TAG_VERSION=1.2.3
-Check:  crawl4ai/__version__.py contains __version__ = "1.2.3"
-Output: Pass/Fail
-```
-
-**Implementation**:
-```bash
-PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)")
-if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then
-  exit 1
-fi
-```
-
-##### Stage 3: Package Build
-```bash
-Input:  Source code + pyproject.toml
-Output: dist/crawl4ai-1.2.3.tar.gz
-        dist/crawl4ai-1.2.3-py3-none-any.whl
-```
-
-**Implementation**:
-```bash
-python -m build
-# Uses build backend defined in pyproject.toml
-```
-
-##### Stage 4: PyPI Upload
-```bash
-Input:  dist/*.{tar.gz,whl}
-Auth:   PYPI_TOKEN
-Output: Package published to PyPI
-```
-
-**Implementation**:
-```bash
-twine upload dist/*
-# Environment:
-#   TWINE_USERNAME: __token__
-#   TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
-```
-
-##### Stage 5: GitHub Release Creation
-```bash
-Input:  Tag: v1.2.3
-        Body: Markdown content
-Output: Published GitHub release
-```
-
-**Implementation**:
-```yaml
-uses: softprops/action-gh-release@v2
-with:
-  tag_name: v1.2.3
-  name: Release v1.2.3
-  body: |
-    Installation instructions and changelog
-  draft: false
-  prerelease: false
-```
-
-#### Output
-- **PyPI Package**: https://pypi.org/project/crawl4ai/1.2.3/
-- **GitHub Release**: Published release on repository
-- **Event**: `release.published` (triggers Docker workflow)
-
-#### Timeline
-```
-0:00 - Tag pushed
-0:01 - Checkout + Python setup
-0:02 - Version validation
-0:03 - Package build
-0:04 - PyPI upload starts
-0:06 - PyPI upload complete
-0:07 - GitHub release created
-0:08 - Workflow complete
-```
-
----
-
-### 2. Docker Release Pipeline (docker-release.yml)
-
-#### Purpose
-Build and publish multi-architecture Docker images.
-
-#### Inputs
-
-##### Input 1: Release Event (Automatic)
-```yaml
-Event: release.published
-Data:  github.event.release.tag_name = "v1.2.3"
-```
-
-##### Input 2: Docker Rebuild Tag (Manual)
-```yaml
-Tag: docker-rebuild-v1.2.3
-```
-
-#### Processing Stages
-
-##### Stage 1: Version Detection
-```bash
-# From release event:
-VERSION = github.event.release.tag_name.strip("v")
-# Result: "1.2.3"
-
-# From rebuild tag:
-VERSION = GITHUB_REF.replace("refs/tags/docker-rebuild-v", "")
-# Result: "1.2.3"
-```
-
-##### Stage 2: Semantic Version Parsing
-```bash
-Input:  VERSION=1.2.3
-Output: MAJOR=1
-        MINOR=1.2
-        PATCH=3 (implicit)
-```
-
-**Implementation**:
-```bash
-MAJOR=$(echo $VERSION | cut -d. -f1)    # Extract first component
-MINOR=$(echo $VERSION | cut -d. -f1-2)  # Extract first two components
-```
-
-##### Stage 3: Multi-Architecture Setup
-```yaml
-Setup:
-  - Docker Buildx (multi-platform builder)
-  - QEMU (ARM emulation on x86)
-
-Platforms:
-  - linux/amd64 (x86_64)
-  - linux/arm64 (aarch64)
-```
-
-**Architecture**:
-```
-GitHub Runner (linux/amd64)
-  ├─ Buildx Builder
-  │   ├─ Native: Build linux/amd64 image
-  │   └─ QEMU: Emulate ARM to build linux/arm64 image
-  └─ Generate manifest list (points to both images)
-```
-
-##### Stage 4: Docker Hub Authentication
-```bash
-Input:  DOCKER_USERNAME
-        DOCKER_TOKEN
-Output: Authenticated Docker client
-```
-
-##### Stage 5: Build with Cache
-```yaml
-Cache Configuration:
-  cache-from: type=gha           # Read from GitHub Actions cache
-  cache-to: type=gha,mode=max    # Write all layers
-
-Cache Key Components:
-  - Workflow file path
-  - Branch name
-  - Architecture (amd64/arm64)
-```
-
-**Cache Hierarchy**:
-```
-Cache Entry: main/docker-release.yml/linux-amd64
-  ├─ Layer: sha256:abc123... (FROM python:3.12)
-  ├─ Layer: sha256:def456... (RUN apt-get update)
-  ├─ Layer: sha256:ghi789... (COPY requirements.txt)
-  ├─ Layer: sha256:jkl012... (RUN pip install)
-  └─ Layer: sha256:mno345... (COPY . /app)
-
-Cache Hit/Miss Logic:
-  - If layer input unchanged → cache hit → skip build
-  - If layer input changed → cache miss → rebuild + all subsequent layers
-```
-
-##### Stage 6: Tag Generation
-```bash
-Input:  VERSION=1.2.3, MAJOR=1, MINOR=1.2
-
-Output Tags:
-  - unclecode/crawl4ai:1.2.3    (exact version)
-  - unclecode/crawl4ai:1.2      (minor version)
-  - unclecode/crawl4ai:1        (major version)
-  - unclecode/crawl4ai:latest   (latest stable)
-```
-
-**Tag Strategy**:
-- All tags point to same image SHA
-- Users can pin to desired stability level
-- Pushing new version updates `1`, `1.2`, and `latest` automatically
-
-##### Stage 7: Push to Registry
-```bash
-For each tag:
-  For each platform (amd64, arm64):
-    Push image to Docker Hub
-
-Create manifest list:
-  Manifest: unclecode/crawl4ai:1.2.3
-    ├─ linux/amd64: sha256:abc...
-    └─ linux/arm64: sha256:def...
-
-Docker CLI automatically selects correct platform on pull
-```
-
-#### Output
-- **Docker Images**: 4 tags × 2 platforms = 8 image variants + 4 manifests
-- **Docker Hub**: https://hub.docker.com/r/unclecode/crawl4ai/tags
-
-#### Timeline
-
-**Cold Cache (First Build)**:
-```
-0:00 - Release event received
-0:01 - Checkout + Buildx setup
-0:02 - Docker Hub auth
-0:03 - Start build (amd64)
-0:08 - Complete amd64 build
-0:09 - Start build (arm64)
-0:14 - Complete arm64 build
-0:15 - Generate manifests
-0:16 - Push all tags
-0:17 - Workflow complete
-```
-
-**Warm Cache (Code Change Only)**:
-```
-0:00 - Release event received
-0:01 - Checkout + Buildx setup
-0:02 - Docker Hub auth
-0:03 - Start build (amd64) - cache hit for layers 1-4
-0:04 - Complete amd64 build (only layer 5 rebuilt)
-0:05 - Start build (arm64) - cache hit for layers 1-4
-0:06 - Complete arm64 build (only layer 5 rebuilt)
-0:07 - Generate manifests
-0:08 - Push all tags
-0:09 - Workflow complete
-```
-
----
-
-## Data Flow
-
-### Version Information Flow
-
-```
-Developer
-  │
-  ▼
-crawl4ai/__version__.py
-  __version__ = "1.2.3"
-  │
-  ├─► Git Tag
-  │     v1.2.3
-  │       │
-  │       ▼
-  │     release.yml
-  │       │
-  │       ├─► Validation
-  │       │     ✓ Match
-  │       │
-  │       ├─► PyPI Package
-  │       │     crawl4ai==1.2.3
-  │       │
-  │       └─► GitHub Release
-  │             v1.2.3
-  │               │
-  │               ▼
-  │           docker-release.yml
-  │               │
-  │               └─► Docker Tags
-  │                     1.2.3, 1.2, 1, latest
-  │
-  └─► Package Metadata
-        pyproject.toml
-          version = "1.2.3"
-```
-
-### Secrets Flow
-
-```
-GitHub Secrets (Encrypted at Rest)
-  │
-  ├─► PYPI_TOKEN
-  │     │
-  │     ▼
-  │   release.yml
-  │     │
-  │     ▼
-  │   TWINE_PASSWORD env var (masked in logs)
-  │     │
-  │     ▼
-  │   PyPI API (HTTPS)
-  │
-  ├─► DOCKER_USERNAME
-  │     │
-  │     ▼
-  │   docker-release.yml
-  │     │
-  │     ▼
-  │   docker/login-action (masked in logs)
-  │     │
-  │     ▼
-  │   Docker Hub API (HTTPS)
-  │
-  └─► DOCKER_TOKEN
-        │
-        ▼
-      docker-release.yml
-        │
-        ▼
-      docker/login-action (masked in logs)
-        │
-        ▼
-      Docker Hub API (HTTPS)
-```
-
-### Artifact Flow
-
-```
-Source Code
-  │
-  ├─► release.yml
-  │     │
-  │     ▼
-  │   python -m build
-  │     │
-  │     ├─► crawl4ai-1.2.3.tar.gz
-  │     │     │
-  │     │     ▼
-  │     │   PyPI Storage
-  │     │     │
-  │     │     ▼
-  │     │   pip install crawl4ai
-  │     │
-  │     └─► crawl4ai-1.2.3-py3-none-any.whl
-  │           │
-  │           ▼
-  │         PyPI Storage
-  │           │
-  │           ▼
-  │         pip install crawl4ai
-  │
-  └─► docker-release.yml
-        │
-        ▼
-      docker build
-        │
-        ├─► Image: linux/amd64
-        │     │
-        │     └─► Docker Hub
-        │           unclecode/crawl4ai:1.2.3-amd64
-        │
-        └─► Image: linux/arm64
-              │
-              └─► Docker Hub
-                    unclecode/crawl4ai:1.2.3-arm64
-```
-
----
-
-## State Machines
-
-### Release Pipeline State Machine
-
-```
-┌─────────┐
-│  START  │
-└────┬────┘
-     │
-     ▼
-┌──────────────┐
-│ Extract      │
-│ Version      │
-└──────┬───────┘
-       │
-       ▼
-┌──────────────┐      ┌─────────┐
-│ Validate     │─────►│ FAILED  │
-│ Version      │ No   │ (Exit 1)│
-└──────┬───────┘      └─────────┘
-       │ Yes
-       ▼
-┌──────────────┐
-│ Build        │
-│ Package      │
-└──────┬───────┘
-       │
-       ▼
-┌──────────────┐      ┌─────────┐
-│ Upload       │─────►│ FAILED  │
-│ to PyPI      │ Error│ (Exit 1)│
-└──────┬───────┘      └─────────┘
-       │ Success
-       ▼
-┌──────────────┐
-│ Create       │
-│ GH Release   │
-└──────┬───────┘
-       │
-       ▼
-┌──────────────┐
-│  SUCCESS     │
-│ (Emit Event) │
-└──────────────┘
-```
-
-### Docker Pipeline State Machine
-
-```
-┌─────────┐
-│  START  │
-│ (Event) │
-└────┬────┘
-     │
-     ▼
-┌──────────────┐
-│ Detect       │
-│ Version      │
-│ Source       │
-└──────┬───────┘
-       │
-       ▼
-┌──────────────┐
-│ Parse        │
-│ Semantic     │
-│ Versions     │
-└──────┬───────┘
-       │
-       ▼
-┌──────────────┐      ┌─────────┐
-│ Authenticate │─────►│ FAILED  │
-│ Docker Hub   │ Error│ (Exit 1)│
-└──────┬───────┘      └─────────┘
-       │ Success
-       ▼
-┌──────────────┐
-│ Build        │
-│ amd64        │
-└──────┬───────┘
-       │
-       ▼
-┌──────────────┐      ┌─────────┐
-│ Build        │─────►│ FAILED  │
-│ arm64        │ Error│ (Exit 1)│
-└──────┬───────┘      └─────────┘
-       │ Success
-       ▼
-┌──────────────┐
-│ Push All     │
-│ Tags         │
-└──────┬───────┘
-       │
-       ▼
-┌──────────────┐
-│  SUCCESS     │
-└──────────────┘
-```
-
----
-
-## Security Architecture
-
-### Threat Model
-
-#### Threats Mitigated
-
-1. **Secret Exposure**
-   - Mitigation: GitHub Actions secret masking
-   - Evidence: Secrets never appear in logs
-
-2. **Unauthorized Package Upload**
-   - Mitigation: Scoped PyPI tokens
-   - Evidence: Token limited to `crawl4ai` project
-
-3. **Man-in-the-Middle**
-   - Mitigation: HTTPS for all API calls
-   - Evidence: PyPI, Docker Hub, GitHub all use TLS
-
-4. **Supply Chain Tampering**
-   - Mitigation: Immutable artifacts, content checksums
-   - Evidence: PyPI stores SHA256, Docker uses content-addressable storage
-
-#### Trust Boundaries
-
-```
-┌─────────────────────────────────────────┐
-│         Trusted Zone                     │
-│  ┌────────────────────────────────┐    │
-│  │  GitHub Actions Runner         │    │
-│  │  - Ephemeral VM                │    │
-│  │  - Isolated environment        │    │
-│  │  - Access to secrets           │    │
-│  └────────────────────────────────┘    │
-│                │                         │
-│                │ HTTPS (TLS 1.2+)       │
-│                ▼                         │
-└─────────────────────────────────────────┘
-                 │
-    ┌────────────┼────────────┐
-    │            │            │
-    ▼            ▼            ▼
-┌────────┐  ┌─────────┐  ┌──────────┐
-│  PyPI  │  │  Docker │  │  GitHub  │
-│  API   │  │  Hub    │  │  API     │
-└────────┘  └─────────┘  └──────────┘
- External     External     External
-  Service      Service      Service
-```
-
-### Secret Management
-
-#### Secret Lifecycle
-
-```
-Creation (Developer)
-  │
-  ├─► PyPI: Create API token (scoped to project)
-  ├─► Docker Hub: Create access token (read/write)
-  │
-  ▼
-Storage (GitHub)
-  │
-  ├─► Encrypted at rest (AES-256)
-  ├─► Access controlled (repo-scoped)
-  │
-  ▼
-Usage (Workflow)
-  │
-  ├─► Injected as env vars
-  ├─► Masked in logs (GitHub redacts on output)
-  ├─► Never persisted to disk (in-memory only)
-  │
-  ▼
-Transmission (API Call)
-  │
-  ├─► HTTPS only
-  ├─► TLS 1.2+ with strong ciphers
-  │
-  ▼
-Rotation (Manual)
-  │
-  └─► Regenerate on PyPI/Docker Hub
-      Update GitHub secret
-```
-
----
-
-## Performance Characteristics
-
-### Release Pipeline Performance
-
-| Metric | Value | Notes |
-|--------|-------|-------|
-| Cold start | ~2-3 min | First run on new runner |
-| Warm start | ~2-3 min | Minimal caching benefit |
-| PyPI upload | ~30-60 sec | Network-bound |
-| Package build | ~30 sec | CPU-bound |
-| Parallelization | None | Sequential by design |
-
-### Docker Pipeline Performance
-
-| Metric | Cold Cache | Warm Cache (code) | Warm Cache (deps) |
-|--------|-----------|-------------------|-------------------|
-| Total time | 10-15 min | 1-2 min | 3-5 min |
-| amd64 build | 5-7 min | 30-60 sec | 1-2 min |
-| arm64 build | 5-7 min | 30-60 sec | 1-2 min |
-| Push time | 1-2 min | 30 sec | 30 sec |
-| Cache hit rate | 0% | 85% | 60% |
-
-### Cache Performance Model
-
-```python
-def estimate_build_time(changes):
-    base_time = 60  # seconds (setup + push)
-
-    if "Dockerfile" in changes:
-        return base_time + (10 * 60)  # Full rebuild: ~11 min
-    elif "requirements.txt" in changes:
-        return base_time + (3 * 60)   # Deps rebuild: ~4 min
-    elif any(f.endswith(".py") for f in changes):
-        return base_time + 60          # Code only: ~2 min
-    else:
-        return base_time               # No changes: ~1 min
-```
-
----
-
-## Scalability Considerations
-
-### Current Limits
-
-| Resource | Limit | Impact |
-|----------|-------|--------|
-| Workflow concurrency | 20 (default) | Max 20 releases in parallel |
-| Artifact storage | 500 MB/artifact | PyPI packages small (<10 MB) |
-| Cache storage | 10 GB/repo | Docker layers fit comfortably |
-| Workflow run time | 6 hours | Plenty of headroom |
-
-### Scaling Strategies
-
-#### Horizontal Scaling (Multiple Repos)
-```
-crawl4ai (main)
-  ├─ release.yml
-  └─ docker-release.yml
-
-crawl4ai-plugins (separate)
-  ├─ release.yml
-  └─ docker-release.yml
-
-Each repo has independent:
-  - Secrets
-  - Cache (10 GB each)
-  - Concurrency limits (20 each)
-```
-
-#### Vertical Scaling (Larger Runners)
-```yaml
-jobs:
-  docker:
-    runs-on: ubuntu-latest-8-cores  # GitHub-hosted larger runner
-    # 4x faster builds for CPU-bound layers
-```
-
----
-
-## Disaster Recovery
-
-### Failure Scenarios
-
-#### Scenario 1: Release Pipeline Fails
-
-**Failure Point**: PyPI upload fails (network error)
-
-**State**:
-- ✓ Version validated
-- ✓ Package built
-- ✗ PyPI upload
-- ✗ GitHub release
-
-**Recovery**:
-```bash
-# Manual upload
-twine upload dist/*
-
-# Retry workflow (re-run from GitHub Actions UI)
-```
-
-**Prevention**: Add retry logic to PyPI upload
-
-#### Scenario 2: Docker Pipeline Fails
-
-**Failure Point**: ARM build fails (dependency issue)
-
-**State**:
-- ✓ PyPI published
-- ✓ GitHub release created
-- ✓ amd64 image built
-- ✗ arm64 image build
-
-**Recovery**:
-```bash
-# Fix Dockerfile
-git commit -am "fix: ARM build dependency"
-
-# Trigger rebuild
-git tag docker-rebuild-v1.2.3
-git push origin docker-rebuild-v1.2.3
-```
-
-**Impact**: PyPI package available, only Docker ARM users affected
-
-#### Scenario 3: Partial Release
-
-**Failure Point**: GitHub release creation fails
-
-**State**:
-- ✓ PyPI published
-- ✗ GitHub release
-- ✗ Docker images
-
-**Recovery**:
-```bash
-# Create release manually
-gh release create v1.2.3 \
-  --title "Release v1.2.3" \
-  --notes "..."
-
-# This triggers docker-release.yml automatically
-```
-
----
-
-## Monitoring and Observability
-
-### Metrics to Track
-
-#### Release Pipeline
-- Success rate (target: >99%)
-- Duration (target: <3 min)
-- PyPI upload time (target: <60 sec)
-
-#### Docker Pipeline
-- Success rate (target: >95%)
-- Duration (target: <15 min cold, <2 min warm)
-- Cache hit rate (target: >80% for code changes)
-
-### Alerting
-
-**Critical Alerts**:
-- Release pipeline failure (blocks release)
-- PyPI authentication failure (expired token)
-
-**Warning Alerts**:
-- Docker build >15 min (performance degradation)
-- Cache hit rate <50% (cache issue)
-
-### Logging
-
-**GitHub Actions Logs**:
-- Retention: 90 days
-- Downloadable: Yes
-- Searchable: Limited
-
-**Recommended External Logging**:
-```yaml
-- name: Send logs to external service
-  if: failure()
-  run: |
-    curl -X POST https://logs.example.com/api/v1/logs \
-      -H "Content-Type: application/json" \
-      -d "{\"workflow\": \"${{ github.workflow }}\", \"status\": \"failed\"}"
-```
-
----
-
-## Future Enhancements
-
-### Planned Improvements
-
-1. **Automated Changelog Generation**
-   - Use conventional commits
-   - Generate CHANGELOG.md automatically
-
-2. **Pre-release Testing**
-   - Test builds on `test-v*` tags
-   - Upload to TestPyPI
-
-3. **Notification System**
-   - Slack/Discord notifications on release
-   - Email on failure
-
-4. **Performance Optimization**
-   - Parallel Docker builds (amd64 + arm64 simultaneously)
-   - Persistent runners for better caching
-
-5. **Enhanced Validation**
-   - Smoke tests after PyPI upload
-   - Container security scanning
-
----
-
-## References
-
-- [GitHub Actions Architecture](https://docs.github.com/en/actions/learn-github-actions/understanding-github-actions)
-- [Docker Build Cache](https://docs.docker.com/build/cache/)
-- [PyPI API Documentation](https://warehouse.pypa.io/api-reference/)
-
----
-
-**Last Updated**: 2025-01-21
-**Version**: 2.0

.github/workflows/docs/WORKFLOW_REFERENCE.md

@@ -1,287 +0,0 @@
-# Workflow Quick Reference
-
-## Quick Commands
-
-### Standard Release
-```bash
-# 1. Update version
-vim crawl4ai/__version__.py  # Set to "1.2.3"
-
-# 2. Commit and tag
-git add crawl4ai/__version__.py
-git commit -m "chore: bump version to 1.2.3"
-git tag v1.2.3
-git push origin main
-git push origin v1.2.3
-
-# 3. Monitor
-# - PyPI: ~2-3 minutes
-# - Docker: ~1-15 minutes
-```
-
-### Docker Rebuild Only
-```bash
-git tag docker-rebuild-v1.2.3
-git push origin docker-rebuild-v1.2.3
-```
-
-### Delete Tag (Undo Release)
-```bash
-# Local
-git tag -d v1.2.3
-
-# Remote
-git push --delete origin v1.2.3
-
-# GitHub Release
-gh release delete v1.2.3
-```
-
----
-
-## Workflow Triggers
-
-### release.yml
-| Event | Pattern | Example |
-|-------|---------|---------|
-| Tag push | `v*` | `v1.2.3` |
-| Excludes | `test-v*` | `test-v1.2.3` |
-
-### docker-release.yml
-| Event | Pattern | Example |
-|-------|---------|---------|
-| Release published | `release.published` | Automatic |
-| Tag push | `docker-rebuild-v*` | `docker-rebuild-v1.2.3` |
-
----
-
-## Environment Variables
-
-### release.yml
-| Variable | Source | Example |
-|----------|--------|---------|
-| `VERSION` | Git tag | `1.2.3` |
-| `TWINE_USERNAME` | Static | `__token__` |
-| `TWINE_PASSWORD` | Secret | `pypi-Ag...` |
-| `GITHUB_TOKEN` | Auto | `ghp_...` |
-
-### docker-release.yml
-| Variable | Source | Example |
-|----------|--------|---------|
-| `VERSION` | Release/Tag | `1.2.3` |
-| `MAJOR` | Computed | `1` |
-| `MINOR` | Computed | `1.2` |
-| `DOCKER_USERNAME` | Secret | `unclecode` |
-| `DOCKER_TOKEN` | Secret | `dckr_pat_...` |
-
----
-
-## Docker Tags Generated
-
-| Version | Tags Created |
-|---------|-------------|
-| v1.0.0 | `1.0.0`, `1.0`, `1`, `latest` |
-| v1.1.0 | `1.1.0`, `1.1`, `1`, `latest` |
-| v1.2.3 | `1.2.3`, `1.2`, `1`, `latest` |
-| v2.0.0 | `2.0.0`, `2.0`, `2`, `latest` |
-
----
-
-## Workflow Outputs
-
-### release.yml
-| Output | Location | Time |
-|--------|----------|------|
-| PyPI Package | https://pypi.org/project/crawl4ai/ | ~2-3 min |
-| GitHub Release | Repository → Releases | ~2-3 min |
-| Workflow Summary | Actions → Run → Summary | Immediate |
-
-### docker-release.yml
-| Output | Location | Time |
-|--------|----------|------|
-| Docker Images | https://hub.docker.com/r/unclecode/crawl4ai | ~1-15 min |
-| Workflow Summary | Actions → Run → Summary | Immediate |
-
----
-
-## Common Issues
-
-| Issue | Solution |
-|-------|----------|
-| Version mismatch | Update `crawl4ai/__version__.py` to match tag |
-| PyPI 403 Forbidden | Check `PYPI_TOKEN` secret |
-| PyPI 400 File exists | Version already published, increment version |
-| Docker auth failed | Regenerate `DOCKER_TOKEN` |
-| Docker build timeout | Check Dockerfile, review build logs |
-| Cache not working | First build on branch always cold |
-
----
-
-## Secrets Checklist
-
-- [ ] `PYPI_TOKEN` - PyPI API token (project or account scope)
-- [ ] `DOCKER_USERNAME` - Docker Hub username
-- [ ] `DOCKER_TOKEN` - Docker Hub access token (read/write)
-- [ ] `GITHUB_TOKEN` - Auto-provided (no action needed)
-
----
-
-## Workflow Dependencies
-
-### release.yml Dependencies
-```yaml
-Python: 3.12
-Actions:
-  - actions/checkout@v4
-  - actions/setup-python@v5
-  - softprops/action-gh-release@v2
-PyPI Packages:
-  - build
-  - twine
-```
-
-### docker-release.yml Dependencies
-```yaml
-Actions:
-  - actions/checkout@v4
-  - docker/setup-buildx-action@v3
-  - docker/login-action@v3
-  - docker/build-push-action@v5
-Docker:
-  - Buildx
-  - QEMU (for multi-arch)
-```
-
----
-
-## Cache Information
-
-### Type
-- GitHub Actions Cache (`type=gha`)
-
-### Storage
-- **Limit**: 10GB per repository
-- **Retention**: 7 days for unused entries
-- **Cleanup**: Automatic LRU eviction
-
-### Performance
-| Scenario | Cache Hit | Build Time |
-|----------|-----------|------------|
-| First build | 0% | 10-15 min |
-| Code change only | 85% | 1-2 min |
-| Dependency update | 60% | 3-5 min |
-| No changes | 100% | 30-60 sec |
-
----
-
-## Build Platforms
-
-| Platform | Architecture | Devices |
-|----------|--------------|---------|
-| linux/amd64 | x86_64 | Intel/AMD servers, AWS EC2, GCP |
-| linux/arm64 | aarch64 | Apple Silicon, AWS Graviton, Raspberry Pi |
-
----
-
-## Version Validation
-
-### Pre-Tag Checklist
-```bash
-# Check current version
-python -c "from crawl4ai.__version__ import __version__; print(__version__)"
-
-# Verify it matches intended tag
-# If tag is v1.2.3, version should be "1.2.3"
-```
-
-### Post-Release Verification
-```bash
-# PyPI
-pip install crawl4ai==1.2.3
-python -c "import crawl4ai; print(crawl4ai.__version__)"
-
-# Docker
-docker pull unclecode/crawl4ai:1.2.3
-docker run unclecode/crawl4ai:1.2.3 python -c "import crawl4ai; print(crawl4ai.__version__)"
-```
-
----
-
-## Monitoring URLs
-
-| Service | URL |
-|---------|-----|
-| GitHub Actions | `https://github.com/{owner}/{repo}/actions` |
-| PyPI Project | `https://pypi.org/project/crawl4ai/` |
-| Docker Hub | `https://hub.docker.com/r/unclecode/crawl4ai` |
-| GitHub Releases | `https://github.com/{owner}/{repo}/releases` |
-
----
-
-## Rollback Strategy
-
-### PyPI (Cannot Delete)
-```bash
-# Increment patch version
-git tag v1.2.4
-git push origin v1.2.4
-```
-
-### Docker (Can Overwrite)
-```bash
-# Rebuild with fix
-git tag docker-rebuild-v1.2.3
-git push origin docker-rebuild-v1.2.3
-```
-
-### GitHub Release
-```bash
-# Delete release
-gh release delete v1.2.3
-
-# Delete tag
-git push --delete origin v1.2.3
-```
-
----
-
-## Status Badge Markdown
-
-```markdown
-[![Release Pipeline](https://github.com/{owner}/{repo}/actions/workflows/release.yml/badge.svg)](https://github.com/{owner}/{repo}/actions/workflows/release.yml)
-
-[![Docker Release](https://github.com/{owner}/{repo}/actions/workflows/docker-release.yml/badge.svg)](https://github.com/{owner}/{repo}/actions/workflows/docker-release.yml)
-```
-
----
-
-## Timeline Example
-
-```
-0:00 - Push tag v1.2.3
-0:01 - release.yml starts
-0:02 - Version validation passes
-0:03 - Package built
-0:04 - PyPI upload starts
-0:06 - PyPI upload complete ✓
-0:07 - GitHub release created ✓
-0:08 - release.yml complete
-0:08 - docker-release.yml triggered
-0:10 - Docker build starts
-0:12 - amd64 image built (cache hit)
-0:14 - arm64 image built (cache hit)
-0:15 - Images pushed to Docker Hub ✓
-0:16 - docker-release.yml complete
-
-Total: ~16 minutes
-Critical path (PyPI + GitHub): ~8 minutes
-```
-
----
-
-## Contact
-
-For workflow issues:
-1. Check Actions tab for logs
-2. Review this reference
-3. See [README.md](./README.md) for detailed docs

.github/workflows/release.yml

@@ -10,53 +10,53 @@ jobs:
     runs-on: ubuntu-latest
     permissions:
       contents: write  # Required for creating releases
-
+    
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
-
+      
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
           python-version: '3.12'
-
+      
       - name: Extract version from tag
         id: get_version
         run: |
           TAG_VERSION=${GITHUB_REF#refs/tags/v}
           echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT
           echo "Releasing version: $TAG_VERSION"
-
+      
       - name: Install package dependencies
         run: |
           pip install -e .
-
+      
       - name: Check version consistency
         run: |
           TAG_VERSION=${{ steps.get_version.outputs.VERSION }}
           PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)")
-
+          
           echo "Tag version: $TAG_VERSION"
           echo "Package version: $PACKAGE_VERSION"
-
+          
           if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then
             echo "❌ Version mismatch! Tag: $TAG_VERSION, Package: $PACKAGE_VERSION"
             echo "Please update crawl4ai/__version__.py to match the tag version"
             exit 1
           fi
           echo "✅ Version check passed: $TAG_VERSION"
-
+      
       - name: Install build dependencies
         run: |
           python -m pip install --upgrade pip
           pip install build twine
-
+      
       - name: Build package
         run: python -m build
-
+      
       - name: Check package
         run: twine check dist/*
-
+      
       - name: Upload to PyPI
         env:
           TWINE_USERNAME: __token__
@@ -65,7 +65,37 @@ jobs:
           echo "📦 Uploading to PyPI..."
           twine upload dist/*
           echo "✅ Package uploaded to https://pypi.org/project/crawl4ai/"
-
+      
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_TOKEN }}
+      
+      - name: Extract major and minor versions
+        id: versions
+        run: |
+          VERSION=${{ steps.get_version.outputs.VERSION }}
+          MAJOR=$(echo $VERSION | cut -d. -f1)
+          MINOR=$(echo $VERSION | cut -d. -f1-2)
+          echo "MAJOR=$MAJOR" >> $GITHUB_OUTPUT
+          echo "MINOR=$MINOR" >> $GITHUB_OUTPUT
+      
+      - name: Build and push Docker images
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          tags: |
+            unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
+            unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}
+            unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}
+            unclecode/crawl4ai:latest
+          platforms: linux/amd64,linux/arm64
+      
       - name: Create GitHub Release
         uses: softprops/action-gh-release@v2
         with:
@@ -73,29 +103,26 @@ jobs:
           name: Release v${{ steps.get_version.outputs.VERSION }}
           body: |
             ## 🎉 Crawl4AI v${{ steps.get_version.outputs.VERSION }} Released!
-
+            
             ### 📦 Installation
-
+            
             **PyPI:**
             ```bash
             pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}
             ```
-
+            
             **Docker:**
             ```bash
             docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
             docker pull unclecode/crawl4ai:latest
             ```
-
-            **Note:** Docker images are being built and will be available shortly.
-            Check the [Docker Release workflow](https://github.com/${{ github.repository }}/actions/workflows/docker-release.yml) for build status.
-
+            
             ### 📝 What's Changed
             See [CHANGELOG.md](https://github.com/${{ github.repository }}/blob/main/CHANGELOG.md) for details.
           draft: false
           prerelease: false
           token: ${{ secrets.GITHUB_TOKEN }}
-
+      
       - name: Summary
         run: |
           echo "## 🚀 Release Complete!" >> $GITHUB_STEP_SUMMARY
@@ -105,9 +132,11 @@ jobs:
           echo "- URL: https://pypi.org/project/crawl4ai/" >> $GITHUB_STEP_SUMMARY
           echo "- Install: \`pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
           echo "" >> $GITHUB_STEP_SUMMARY
-          echo "### 📋 GitHub Release" >> $GITHUB_STEP_SUMMARY
-          echo "- https://github.com/${{ github.repository }}/releases/tag/v${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
           echo "### 🐳 Docker Images" >> $GITHUB_STEP_SUMMARY
-          echo "Docker images are being built in a separate workflow." >> $GITHUB_STEP_SUMMARY
-          echo "Check: https://github.com/${{ github.repository }}/actions/workflows/docker-release.yml" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:latest\`" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "### 📋 GitHub Release" >> $GITHUB_STEP_SUMMARY
+          echo "https://github.com/${{ github.repository }}/releases/tag/v${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY

.github/workflows/release.yml.backup

@@ -1,142 +0,0 @@
-name: Release Pipeline
-on:
-  push:
-    tags:
-      - 'v*'
-      - '!test-v*'  # Exclude test tags
-
-jobs:
-  release:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write  # Required for creating releases
-    
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-      
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.12'
-      
-      - name: Extract version from tag
-        id: get_version
-        run: |
-          TAG_VERSION=${GITHUB_REF#refs/tags/v}
-          echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT
-          echo "Releasing version: $TAG_VERSION"
-      
-      - name: Install package dependencies
-        run: |
-          pip install -e .
-      
-      - name: Check version consistency
-        run: |
-          TAG_VERSION=${{ steps.get_version.outputs.VERSION }}
-          PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)")
-          
-          echo "Tag version: $TAG_VERSION"
-          echo "Package version: $PACKAGE_VERSION"
-          
-          if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then
-            echo "❌ Version mismatch! Tag: $TAG_VERSION, Package: $PACKAGE_VERSION"
-            echo "Please update crawl4ai/__version__.py to match the tag version"
-            exit 1
-          fi
-          echo "✅ Version check passed: $TAG_VERSION"
-      
-      - name: Install build dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install build twine
-      
-      - name: Build package
-        run: python -m build
-      
-      - name: Check package
-        run: twine check dist/*
-      
-      - name: Upload to PyPI
-        env:
-          TWINE_USERNAME: __token__
-          TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
-        run: |
-          echo "📦 Uploading to PyPI..."
-          twine upload dist/*
-          echo "✅ Package uploaded to https://pypi.org/project/crawl4ai/"
-      
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      
-      - name: Log in to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_USERNAME }}
-          password: ${{ secrets.DOCKER_TOKEN }}
-      
-      - name: Extract major and minor versions
-        id: versions
-        run: |
-          VERSION=${{ steps.get_version.outputs.VERSION }}
-          MAJOR=$(echo $VERSION | cut -d. -f1)
-          MINOR=$(echo $VERSION | cut -d. -f1-2)
-          echo "MAJOR=$MAJOR" >> $GITHUB_OUTPUT
-          echo "MINOR=$MINOR" >> $GITHUB_OUTPUT
-      
-      - name: Build and push Docker images
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          push: true
-          tags: |
-            unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
-            unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}
-            unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}
-            unclecode/crawl4ai:latest
-          platforms: linux/amd64,linux/arm64
-      
-      - name: Create GitHub Release
-        uses: softprops/action-gh-release@v2
-        with:
-          tag_name: v${{ steps.get_version.outputs.VERSION }}
-          name: Release v${{ steps.get_version.outputs.VERSION }}
-          body: |
-            ## 🎉 Crawl4AI v${{ steps.get_version.outputs.VERSION }} Released!
-            
-            ### 📦 Installation
-            
-            **PyPI:**
-            ```bash
-            pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}
-            ```
-            
-            **Docker:**
-            ```bash
-            docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
-            docker pull unclecode/crawl4ai:latest
-            ```
-            
-            ### 📝 What's Changed
-            See [CHANGELOG.md](https://github.com/${{ github.repository }}/blob/main/CHANGELOG.md) for details.
-          draft: false
-          prerelease: false
-          token: ${{ secrets.GITHUB_TOKEN }}
-      
-      - name: Summary
-        run: |
-          echo "## 🚀 Release Complete!" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "### 📦 PyPI Package" >> $GITHUB_STEP_SUMMARY
-          echo "- Version: ${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
-          echo "- URL: https://pypi.org/project/crawl4ai/" >> $GITHUB_STEP_SUMMARY
-          echo "- Install: \`pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "### 🐳 Docker Images" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:latest\`" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "### 📋 GitHub Release" >> $GITHUB_STEP_SUMMARY
-          echo "https://github.com/${{ github.repository }}/releases/tag/v${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY

.gitignore

@@ -1,13 +1,6 @@
 # Scripts folder (private tools)
 .scripts/
 
-# Database files
-*.db
-
-# Environment files
-.env
-.env.local
-
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
@@ -185,8 +178,7 @@ Crawl4AI.egg-info/
 requirements0.txt
 a.txt
 
-# Ignore shell scripts globally, but allow test scripts
-# *.sh
+*.sh
 .idea
 docs/examples/.chainlit/
 docs/examples/.chainlit/*
@@ -267,31 +259,15 @@ continue_config.json
 .llm.env
 .private/
 
-.claude/
-
 CLAUDE_MONITOR.md
 CLAUDE.md
 
 tests/**/test_site
 tests/**/reports
 tests/**/benchmark_reports
-test_scripts/
+
 docs/**/data
 .codecat/
 
 docs/apps/linkdin/debug*/
-docs/apps/linkdin/samples/insights/*
-
-scripts/
-
-
-# Databse files
-*.sqlite3
-*.sqlite3-journal
-*.db-journal
-*.db-wal
-*.db-shm
-*.db
-*.rdb
-*.ldb
-.context/
+docs/apps/linkdin/samples/insights/*

CHANGELOG.md

@@ -5,86 +5,6 @@ All notable changes to Crawl4AI will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [Unreleased]
-
-### Added
-- **🔒 HTTPS Preservation for Internal Links**: New `preserve_https_for_internal_links` configuration flag
-  - Maintains HTTPS scheme for internal links even when servers redirect to HTTP
-  - Prevents security downgrades during deep crawling
-  - Useful for security-conscious crawling and sites supporting both protocols
-  - Fully backward compatible with opt-in flag (default: `False`)
-  - Fixes issue #1410 where HTTPS URLs were being downgraded to HTTP
-
-## [0.7.3] - 2025-08-09
-
-### Added
-- **🕵️ Undetected Browser Support**: New browser adapter pattern with stealth capabilities
-  - `browser_adapter.py` with undetected Chrome integration
-  - Bypass sophisticated bot detection systems (Cloudflare, Akamai, custom solutions)
-  - Support for headless stealth mode with anti-detection techniques
-  - Human-like behavior simulation with random mouse movements and scrolling
-  - Comprehensive examples for anti-bot strategies and stealth crawling
-  - Full documentation guide for undetected browser usage
-
-- **🎨 Multi-URL Configuration System**: URL-specific crawler configurations for batch processing
-  - Different crawling strategies for different URL patterns in a single batch
-  - Support for string patterns with wildcards (`"*.pdf"`, `"*/blog/*"`)
-  - Lambda function matchers for complex URL logic
-  - Mixed matchers combining strings and functions with AND/OR logic
-  - Fallback configuration support when no patterns match
-  - First-match-wins configuration selection with optional fallback
-
-- **🧠 Memory Monitoring & Optimization**: Comprehensive memory usage tracking
-  - New `memory_utils.py` module for memory monitoring and optimization
-  - Real-time memory usage tracking during crawl sessions
-  - Memory leak detection and reporting
-  - Performance optimization recommendations
-  - Peak memory usage analysis and efficiency metrics
-  - Automatic cleanup suggestions for memory-intensive operations
-
-- **📊 Enhanced Table Extraction**: Improved table access and DataFrame conversion
-  - Direct `result.tables` interface replacing generic `result.media` approach
-  - Instant pandas DataFrame conversion with `pd.DataFrame(table['data'])`
-  - Enhanced table detection algorithms for better accuracy
-  - Table metadata including source XPath and headers
-  - Improved table structure preservation during extraction
-
-- **💰 GitHub Sponsors Integration**: 4-tier sponsorship system
-  - Supporter ($5/month): Community support + early feature previews
-  - Professional ($25/month): Priority support + beta access
-  - Business ($100/month): Direct consultation + custom integrations
-  - Enterprise ($500/month): Dedicated support + feature development
-  - Custom arrangement options for larger organizations
-
-- **🐳 Docker LLM Provider Flexibility**: Environment-based LLM configuration
-  - `LLM_PROVIDER` environment variable support for dynamic provider switching
-  - `.llm.env` file support for secure configuration management
-  - Per-request provider override capabilities in API endpoints
-  - Support for OpenAI, Groq, and other providers without rebuilding images
-  - Enhanced Docker documentation with deployment examples
-
-### Fixed
-- **URL Matcher Fallback**: Resolved edge cases in URL pattern matching logic
-- **Memory Management**: Fixed memory leaks in long-running crawl sessions
-- **Sitemap Processing**: Improved redirect handling in sitemap fetching
-- **Table Extraction**: Enhanced table detection and extraction accuracy
-- **Error Handling**: Better error messages and recovery from network failures
-
-### Changed
-- **Architecture Refactoring**: Major cleanup and optimization
-  - Moved 2,450+ lines from main `async_crawler_strategy.py` to backup
-  - Cleaner separation of concerns in crawler architecture
-  - Better maintainability and code organization
-  - Preserved backward compatibility while improving performance
-
-### Documentation
-- **Comprehensive Examples**: Added real-world URLs and practical use cases
-- **API Documentation**: Complete CrawlResult field documentation with all available fields
-- **Migration Guides**: Updated table extraction patterns from `result.media` to `result.tables`
-- **Undetected Browser Guide**: Full documentation for stealth mode and anti-bot strategies
-- **Multi-Config Examples**: Detailed examples for URL-specific configurations
-- **Docker Deployment**: Enhanced Docker documentation with LLM provider configuration
-
 ## [0.7.x] - 2025-06-29
 
 ### Added

Dockerfile

@@ -1,7 +1,7 @@
 FROM python:3.12-slim-bookworm AS build
 
 # C4ai version
-ARG C4AI_VER=0.7.6
+ARG C4AI_VER=0.7.0-r1
 ENV C4AI_VERSION=$C4AI_VER
 LABEL c4ai.version=$C4AI_VER
 

README-first.md

@@ -1,809 +0,0 @@
-# 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper.
-
-<div align="center">
-
-<a href="https://trendshift.io/repositories/11716" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11716" alt="unclecode%2Fcrawl4ai | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-
-[![GitHub Stars](https://img.shields.io/github/stars/unclecode/crawl4ai?style=social)](https://github.com/unclecode/crawl4ai/stargazers)
-[![GitHub Forks](https://img.shields.io/github/forks/unclecode/crawl4ai?style=social)](https://github.com/unclecode/crawl4ai/network/members)
-
-[![PyPI version](https://badge.fury.io/py/crawl4ai.svg)](https://badge.fury.io/py/crawl4ai)
-[![Python Version](https://img.shields.io/pypi/pyversions/crawl4ai)](https://pypi.org/project/crawl4ai/)
-[![Downloads](https://static.pepy.tech/badge/crawl4ai/month)](https://pepy.tech/project/crawl4ai)
-[![GitHub Sponsors](https://img.shields.io/github/sponsors/unclecode?style=flat&logo=GitHub-Sponsors&label=Sponsors&color=pink)](https://github.com/sponsors/unclecode)
-
-<p align="center">
-    <a href="https://x.com/crawl4ai">
-      <img src="https://img.shields.io/badge/Follow%20on%20X-000000?style=for-the-badge&logo=x&logoColor=white" alt="Follow on X" />
-    </a>
-    <a href="https://www.linkedin.com/company/crawl4ai">
-      <img src="https://img.shields.io/badge/Follow%20on%20LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white" alt="Follow on LinkedIn" />
-    </a>
-    <a href="https://discord.gg/jP8KfhDhyN">
-      <img src="https://img.shields.io/badge/Join%20our%20Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Join our Discord" />
-    </a>
-  </p>
-</div>
-
-Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. It delivers blazing-fast, AI-ready web crawling tailored for LLMs, AI agents, and data pipelines. Open source, flexible, and built for real-time performance, Crawl4AI empowers developers with unmatched speed, precision, and deployment ease.  
-
-[✨ Check out latest update v0.7.0](#-recent-updates)
-
-🎉 **Version 0.7.0 is now available!** The Adaptive Intelligence Update introduces groundbreaking features: Adaptive Crawling that learns website patterns, Virtual Scroll support for infinite pages, intelligent Link Preview with 3-layer scoring, Async URL Seeder for massive discovery, and significant performance improvements. [Read the release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.0.md)
-
-<details>
-<summary>🤓 <strong>My Personal Story</strong></summary>
-
-My journey with computers started in childhood when my dad, a computer scientist, introduced me to an Amstrad computer. Those early days sparked a fascination with technology, leading me to pursue computer science and specialize in NLP during my postgraduate studies. It was during this time that I first delved into web crawling, building tools to help researchers organize papers and extract information from publications a challenging yet rewarding experience that honed my skills in data extraction.
-
-Fast forward to 2023, I was working on a tool for a project and needed a crawler to convert a webpage into markdown. While exploring solutions, I found one that claimed to be open-source but required creating an account and generating an API token. Worse, it turned out to be a SaaS model charging $16, and its quality didn’t meet my standards. Frustrated, I realized this was a deeper problem. That frustration turned into turbo anger mode, and I decided to build my own solution. In just a few days, I created Crawl4AI. To my surprise, it went viral, earning thousands of GitHub stars and resonating with a global community.
-
-I made Crawl4AI open-source for two reasons. First, it’s my way of giving back to the open-source community that has supported me throughout my career. Second, I believe data should be accessible to everyone, not locked behind paywalls or monopolized by a few. Open access to data lays the foundation for the democratization of AI, a vision where individuals can train their own models and take ownership of their information. This library is the first step in a larger journey to create the best open-source data extraction and generation tool the world has ever seen, built collaboratively by a passionate community.
-
-Thank you to everyone who has supported this project, used it, and shared feedback. Your encouragement motivates me to dream even bigger. Join us, file issues, submit PRs, or spread the word. Together, we can build a tool that truly empowers people to access their own data and reshape the future of AI.
-</details>
-
-## 🧐 Why Crawl4AI?
-
-1. **Built for LLMs**: Creates smart, concise Markdown optimized for RAG and fine-tuning applications.  
-2. **Lightning Fast**: Delivers results faster with real-time, cost-efficient performance.  
-3. **Flexible Browser Control**: Offers session management, proxies, and custom hooks for seamless data access.  
-4. **Heuristic Intelligence**: Uses advanced algorithms for efficient extraction, reducing reliance on costly models.  
-5. **Open Source & Deployable**: Fully open-source with no API keys—ready for Docker and cloud integration.  
-6. **Thriving Community**: Actively maintained by a vibrant community and the #1 trending GitHub repository.
-
-## 🚀 Quick Start 
-
-1. Install Crawl4AI:
-```bash
-# Install the package
-pip install -U crawl4ai
-
-# For pre release versions
-pip install crawl4ai --pre
-
-# Run post-installation setup
-crawl4ai-setup
-
-# Verify your installation
-crawl4ai-doctor
-```
-
-If you encounter any browser-related issues, you can install them manually:
-```bash
-python -m playwright install --with-deps chromium
-```
-
-2. Run a simple web crawl with Python:
-```python
-import asyncio
-from crawl4ai import *
-
-async def main():
-    async with AsyncWebCrawler() as crawler:
-        result = await crawler.arun(
-            url="https://www.nbcnews.com/business",
-        )
-        print(result.markdown)
-
-if __name__ == "__main__":
-    asyncio.run(main())
-```
-
-3. Or use the new command-line interface:
-```bash
-# Basic crawl with markdown output
-crwl https://www.nbcnews.com/business -o markdown
-
-# Deep crawl with BFS strategy, max 10 pages
-crwl https://docs.crawl4ai.com --deep-crawl bfs --max-pages 10
-
-# Use LLM extraction with a specific question
-crwl https://www.example.com/products -q "Extract all product prices"
-```
-
-## ✨ Features 
-
-<details>
-<summary>📝 <strong>Markdown Generation</strong></summary>
-
-- 🧹 **Clean Markdown**: Generates clean, structured Markdown with accurate formatting.
-- 🎯 **Fit Markdown**: Heuristic-based filtering to remove noise and irrelevant parts for AI-friendly processing.
-- 🔗 **Citations and References**: Converts page links into a numbered reference list with clean citations.
-- 🛠️ **Custom Strategies**: Users can create their own Markdown generation strategies tailored to specific needs.
-- 📚 **BM25 Algorithm**: Employs BM25-based filtering for extracting core information and removing irrelevant content. 
-</details>
-
-<details>
-<summary>📊 <strong>Structured Data Extraction</strong></summary>
-
-- 🤖 **LLM-Driven Extraction**: Supports all LLMs (open-source and proprietary) for structured data extraction.
-- 🧱 **Chunking Strategies**: Implements chunking (topic-based, regex, sentence-level) for targeted content processing.
-- 🌌 **Cosine Similarity**: Find relevant content chunks based on user queries for semantic extraction.
-- 🔎 **CSS-Based Extraction**: Fast schema-based data extraction using XPath and CSS selectors.
-- 🔧 **Schema Definition**: Define custom schemas for extracting structured JSON from repetitive patterns.
-
-</details>
-
-<details>
-<summary>🌐 <strong>Browser Integration</strong></summary>
-
-- 🖥️ **Managed Browser**: Use user-owned browsers with full control, avoiding bot detection.
-- 🔄 **Remote Browser Control**: Connect to Chrome Developer Tools Protocol for remote, large-scale data extraction.
-- 👤 **Browser Profiler**: Create and manage persistent profiles with saved authentication states, cookies, and settings.
-- 🔒 **Session Management**: Preserve browser states and reuse them for multi-step crawling.
-- 🧩 **Proxy Support**: Seamlessly connect to proxies with authentication for secure access.
-- ⚙️ **Full Browser Control**: Modify headers, cookies, user agents, and more for tailored crawling setups.
-- 🌍 **Multi-Browser Support**: Compatible with Chromium, Firefox, and WebKit.
-- 📐 **Dynamic Viewport Adjustment**: Automatically adjusts the browser viewport to match page content, ensuring complete rendering and capturing of all elements.
-
-</details>
-
-<details>
-<summary>🔎 <strong>Crawling & Scraping</strong></summary>
-
-- 🖼️ **Media Support**: Extract images, audio, videos, and responsive image formats like `srcset` and `picture`.
-- 🚀 **Dynamic Crawling**: Execute JS and wait for async or sync for dynamic content extraction.
-- 📸 **Screenshots**: Capture page screenshots during crawling for debugging or analysis.
-- 📂 **Raw Data Crawling**: Directly process raw HTML (`raw:`) or local files (`file://`).
-- 🔗 **Comprehensive Link Extraction**: Extracts internal, external links, and embedded iframe content.
-- 🛠️ **Customizable Hooks**: Define hooks at every step to customize crawling behavior.
-- 💾 **Caching**: Cache data for improved speed and to avoid redundant fetches.
-- 📄 **Metadata Extraction**: Retrieve structured metadata from web pages.
-- 📡 **IFrame Content Extraction**: Seamless extraction from embedded iframe content.
-- 🕵️ **Lazy Load Handling**: Waits for images to fully load, ensuring no content is missed due to lazy loading.
-- 🔄 **Full-Page Scanning**: Simulates scrolling to load and capture all dynamic content, perfect for infinite scroll pages.
-
-</details>
-
-<details>
-<summary>🚀 <strong>Deployment</strong></summary>
-
-- 🐳 **Dockerized Setup**: Optimized Docker image with FastAPI server for easy deployment.
-- 🔑 **Secure Authentication**: Built-in JWT token authentication for API security.
-- 🔄 **API Gateway**: One-click deployment with secure token authentication for API-based workflows.
-- 🌐 **Scalable Architecture**: Designed for mass-scale production and optimized server performance.
-- ☁️ **Cloud Deployment**: Ready-to-deploy configurations for major cloud platforms.
-
-</details>
-
-<details>
-<summary>🎯 <strong>Additional Features</strong></summary>
-
-- 🕶️ **Stealth Mode**: Avoid bot detection by mimicking real users.
-- 🏷️ **Tag-Based Content Extraction**: Refine crawling based on custom tags, headers, or metadata.
-- 🔗 **Link Analysis**: Extract and analyze all links for detailed data exploration.
-- 🛡️ **Error Handling**: Robust error management for seamless execution.
-- 🔐 **CORS & Static Serving**: Supports filesystem-based caching and cross-origin requests.
-- 📖 **Clear Documentation**: Simplified and updated guides for onboarding and advanced usage.
-- 🙌 **Community Recognition**: Acknowledges contributors and pull requests for transparency.
-
-</details>
-
-## Try it Now!
-
-✨ Play around with this [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1SgRPrByQLzjRfwoRNq1wSGE9nYY_EE8C?usp=sharing)
-
-✨ Visit our [Documentation Website](https://docs.crawl4ai.com/)
-
-## Installation 🛠️
-
-Crawl4AI offers flexible installation options to suit various use cases. You can install it as a Python package or use Docker.
-
-<details>
-<summary>🐍 <strong>Using pip</strong></summary>
-
-Choose the installation option that best fits your needs:
-
-### Basic Installation
-
-For basic web crawling and scraping tasks:
-
-```bash
-pip install crawl4ai
-crawl4ai-setup # Setup the browser
-```
-
-By default, this will install the asynchronous version of Crawl4AI, using Playwright for web crawling.
-
-👉 **Note**: When you install Crawl4AI, the `crawl4ai-setup` should automatically install and set up Playwright. However, if you encounter any Playwright-related errors, you can manually install it using one of these methods:
-
-1. Through the command line:
-
-   ```bash
-   playwright install
-   ```
-
-2. If the above doesn't work, try this more specific command:
-
-   ```bash
-   python -m playwright install chromium
-   ```
-
-This second method has proven to be more reliable in some cases.
-
----
-
-### Installation with Synchronous Version
-
-The sync version is deprecated and will be removed in future versions. If you need the synchronous version using Selenium:
-
-```bash
-pip install crawl4ai[sync]
-```
-
----
-
-### Development Installation
-
-For contributors who plan to modify the source code:
-
-```bash
-git clone https://github.com/unclecode/crawl4ai.git
-cd crawl4ai
-pip install -e .                    # Basic installation in editable mode
-```
-
-Install optional features:
-
-```bash
-pip install -e ".[torch]"           # With PyTorch features
-pip install -e ".[transformer]"     # With Transformer features
-pip install -e ".[cosine]"          # With cosine similarity features
-pip install -e ".[sync]"            # With synchronous crawling (Selenium)
-pip install -e ".[all]"             # Install all optional features
-```
-
-</details>
-
-<details>
-<summary>🐳 <strong>Docker Deployment</strong></summary>
-
-> 🚀 **Now Available!** Our completely redesigned Docker implementation is here! This new solution makes deployment more efficient and seamless than ever.
-
-### New Docker Features
-
-The new Docker implementation includes:
-- **Browser pooling** with page pre-warming for faster response times
-- **Interactive playground** to test and generate request code
-- **MCP integration** for direct connection to AI tools like Claude Code
-- **Comprehensive API endpoints** including HTML extraction, screenshots, PDF generation, and JavaScript execution
-- **Multi-architecture support** with automatic detection (AMD64/ARM64)
-- **Optimized resources** with improved memory management
-
-### Getting Started
-
-```bash
-# Pull and run the latest release candidate
-docker pull unclecode/crawl4ai:0.7.0
-docker run -d -p 11235:11235 --name crawl4ai --shm-size=1g unclecode/crawl4ai:0.7.0
-
-# Visit the playground at http://localhost:11235/playground
-```
-
-For complete documentation, see our [Docker Deployment Guide](https://docs.crawl4ai.com/core/docker-deployment/).
-
-</details>
-
----
-
-### Quick Test
-
-Run a quick test (works for both Docker options):
-
-```python
-import requests
-
-# Submit a crawl job
-response = requests.post(
-    "http://localhost:11235/crawl",
-    json={"urls": ["https://example.com"], "priority": 10}
-)
-if response.status_code == 200:
-    print("Crawl job submitted successfully.")
-    
-if "results" in response.json():
-    results = response.json()["results"]
-    print("Crawl job completed. Results:")
-    for result in results:
-        print(result)
-else:
-    task_id = response.json()["task_id"]
-    print(f"Crawl job submitted. Task ID:: {task_id}")
-    result = requests.get(f"http://localhost:11235/task/{task_id}")
-```
-
-For more examples, see our [Docker Examples](https://github.com/unclecode/crawl4ai/blob/main/docs/examples/docker_example.py). For advanced configuration, environment variables, and usage examples, see our [Docker Deployment Guide](https://docs.crawl4ai.com/basic/docker-deployment/).
-
-</details>
-
-
-## 🔬 Advanced Usage Examples 🔬
-
-You can check the project structure in the directory [docs/examples](https://github.com/unclecode/crawl4ai/tree/main/docs/examples). Over there, you can find a variety of examples; here, some popular examples are shared.
-
-<details>
-<summary>📝 <strong>Heuristic Markdown Generation with Clean and Fit Markdown</strong></summary>
-
-```python
-import asyncio
-from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
-from crawl4ai.content_filter_strategy import PruningContentFilter, BM25ContentFilter
-from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
-
-async def main():
-    browser_config = BrowserConfig(
-        headless=True,  
-        verbose=True,
-    )
-    run_config = CrawlerRunConfig(
-        cache_mode=CacheMode.ENABLED,
-        markdown_generator=DefaultMarkdownGenerator(
-            content_filter=PruningContentFilter(threshold=0.48, threshold_type="fixed", min_word_threshold=0)
-        ),
-        # markdown_generator=DefaultMarkdownGenerator(
-        #     content_filter=BM25ContentFilter(user_query="WHEN_WE_FOCUS_BASED_ON_A_USER_QUERY", bm25_threshold=1.0)
-        # ),
-    )
-    
-    async with AsyncWebCrawler(config=browser_config) as crawler:
-        result = await crawler.arun(
-            url="https://docs.micronaut.io/4.7.6/guide/",
-            config=run_config
-        )
-        print(len(result.markdown.raw_markdown))
-        print(len(result.markdown.fit_markdown))
-
-if __name__ == "__main__":
-    asyncio.run(main())
-```
-
-</details>
-
-<details>
-<summary>🖥️ <strong>Executing JavaScript & Extract Structured Data without LLMs</strong></summary>
-
-```python
-import asyncio
-from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
-from crawl4ai import JsonCssExtractionStrategy
-import json
-
-async def main():
-    schema = {
-    "name": "KidoCode Courses",
-    "baseSelector": "section.charge-methodology .w-tab-content > div",
-    "fields": [
-        {
-            "name": "section_title",
-            "selector": "h3.heading-50",
-            "type": "text",
-        },
-        {
-            "name": "section_description",
-            "selector": ".charge-content",
-            "type": "text",
-        },
-        {
-            "name": "course_name",
-            "selector": ".text-block-93",
-            "type": "text",
-        },
-        {
-            "name": "course_description",
-            "selector": ".course-content-text",
-            "type": "text",
-        },
-        {
-            "name": "course_icon",
-            "selector": ".image-92",
-            "type": "attribute",
-            "attribute": "src"
-        }
-    }
-}
-
-    extraction_strategy = JsonCssExtractionStrategy(schema, verbose=True)
-
-    browser_config = BrowserConfig(
-        headless=False,
-        verbose=True
-    )
-    run_config = CrawlerRunConfig(
-        extraction_strategy=extraction_strategy,
-        js_code=["""(async () => {const tabs = document.querySelectorAll("section.charge-methodology .tabs-menu-3 > div");for(let tab of tabs) {tab.scrollIntoView();tab.click();await new Promise(r => setTimeout(r, 500));}})();"""],
-        cache_mode=CacheMode.BYPASS
-    )
-        
-    async with AsyncWebCrawler(config=browser_config) as crawler:
-        
-        result = await crawler.arun(
-            url="https://www.kidocode.com/degrees/technology",
-            config=run_config
-        )
-
-        companies = json.loads(result.extracted_content)
-        print(f"Successfully extracted {len(companies)} companies")
-        print(json.dumps(companies[0], indent=2))
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
-```
-
-</details>
-
-<details>
-<summary>📚 <strong>Extracting Structured Data with LLMs</strong></summary>
-
-```python
-import os
-import asyncio
-from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode, LLMConfig
-from crawl4ai import LLMExtractionStrategy
-from pydantic import BaseModel, Field
-
-class OpenAIModelFee(BaseModel):
-    model_name: str = Field(..., description="Name of the OpenAI model.")
-    input_fee: str = Field(..., description="Fee for input token for the OpenAI model.")
-    output_fee: str = Field(..., description="Fee for output token for the OpenAI model.")
-
-async def main():
-    browser_config = BrowserConfig(verbose=True)
-    run_config = CrawlerRunConfig(
-        word_count_threshold=1,
-        extraction_strategy=LLMExtractionStrategy(
-            # Here you can use any provider that Litellm library supports, for instance: ollama/qwen2
-            # provider="ollama/qwen2", api_token="no-token", 
-            llm_config = LLMConfig(provider="openai/gpt-4o", api_token=os.getenv('OPENAI_API_KEY')), 
-            schema=OpenAIModelFee.schema(),
-            extraction_type="schema",
-            instruction="""From the crawled content, extract all mentioned model names along with their fees for input and output tokens. 
-            Do not miss any models in the entire content. One extracted model JSON format should look like this: 
-            {"model_name": "GPT-4", "input_fee": "US$10.00 / 1M tokens", "output_fee": "US$30.00 / 1M tokens"}."""
-        ),            
-        cache_mode=CacheMode.BYPASS,
-    )
-    
-    async with AsyncWebCrawler(config=browser_config) as crawler:
-        result = await crawler.arun(
-            url='https://openai.com/api/pricing/',
-            config=run_config
-        )
-        print(result.extracted_content)
-
-if __name__ == "__main__":
-    asyncio.run(main())
-```
-
-</details>
-
-<details>
-<summary>🤖 <strong>Using Your own Browser with Custom User Profile</strong></summary>
-
-```python
-import os, sys
-from pathlib import Path
-import asyncio, time
-from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
-
-async def test_news_crawl():
-    # Create a persistent user data directory
-    user_data_dir = os.path.join(Path.home(), ".crawl4ai", "browser_profile")
-    os.makedirs(user_data_dir, exist_ok=True)
-
-    browser_config = BrowserConfig(
-        verbose=True,
-        headless=True,
-        user_data_dir=user_data_dir,
-        use_persistent_context=True,
-    )
-    run_config = CrawlerRunConfig(
-        cache_mode=CacheMode.BYPASS
-    )
-    
-    async with AsyncWebCrawler(config=browser_config) as crawler:
-        url = "ADDRESS_OF_A_CHALLENGING_WEBSITE"
-        
-        result = await crawler.arun(
-            url,
-            config=run_config,
-            magic=True,
-        )
-        
-        print(f"Successfully crawled {url}")
-        print(f"Content length: {len(result.markdown)}")
-```
-
-</details>
-
-## ✨ Recent Updates
-
-### Version 0.7.0 Release Highlights - The Adaptive Intelligence Update
-
-- **🧠 Adaptive Crawling**: Your crawler now learns and adapts to website patterns automatically:
-  ```python
-  config = AdaptiveConfig(
-      confidence_threshold=0.7, # Min confidence to stop crawling
-      max_depth=5, # Maximum crawl depth
-      max_pages=20, # Maximum number of pages to crawl
-      strategy="statistical"
-  )
-  
-  async with AsyncWebCrawler() as crawler:
-      adaptive_crawler = AdaptiveCrawler(crawler, config)
-      state = await adaptive_crawler.digest(
-          start_url="https://news.example.com",
-          query="latest news content"
-      )
-  # Crawler learns patterns and improves extraction over time
-  ```
-
-- **🌊 Virtual Scroll Support**: Complete content extraction from infinite scroll pages:
-  ```python
-  scroll_config = VirtualScrollConfig(
-      container_selector="[data-testid='feed']",
-      scroll_count=20,
-      scroll_by="container_height",
-      wait_after_scroll=1.0
-  )
-  
-  result = await crawler.arun(url, config=CrawlerRunConfig(
-      virtual_scroll_config=scroll_config
-  ))
-  ```
-
-- **🔗 Intelligent Link Analysis**: 3-layer scoring system for smart link prioritization:
-  ```python
-  link_config = LinkPreviewConfig(
-      query="machine learning tutorials",
-      score_threshold=0.3,
-      concurrent_requests=10
-  )
-  
-  result = await crawler.arun(url, config=CrawlerRunConfig(
-      link_preview_config=link_config,
-      score_links=True
-  ))
-  # Links ranked by relevance and quality
-  ```
-
-- **🎣 Async URL Seeder**: Discover thousands of URLs in seconds:
-  ```python
-  seeder = AsyncUrlSeeder(SeedingConfig(
-      source="sitemap+cc",
-      pattern="*/blog/*",
-      query="python tutorials",
-      score_threshold=0.4
-  ))
-  
-  urls = await seeder.discover("https://example.com")
-  ```
-
-- **⚡ Performance Boost**: Up to 3x faster with optimized resource handling and memory efficiency
-
-Read the full details in our [0.7.0 Release Notes](https://docs.crawl4ai.com/blog/release-v0.7.0) or check the [CHANGELOG](https://github.com/unclecode/crawl4ai/blob/main/CHANGELOG.md).
-
-## Version Numbering in Crawl4AI
-
-Crawl4AI follows standard Python version numbering conventions (PEP 440) to help users understand the stability and features of each release.
-
-### Version Numbers Explained
-
-Our version numbers follow this pattern: `MAJOR.MINOR.PATCH` (e.g., 0.4.3)
-
-#### Pre-release Versions
-We use different suffixes to indicate development stages:
-
-- `dev` (0.4.3dev1): Development versions, unstable
-- `a` (0.4.3a1): Alpha releases, experimental features
-- `b` (0.4.3b1): Beta releases, feature complete but needs testing
-- `rc` (0.4.3): Release candidates, potential final version
-
-#### Installation
-- Regular installation (stable version):
-  ```bash
-  pip install -U crawl4ai
-  ```
-
-- Install pre-release versions:
-  ```bash
-  pip install crawl4ai --pre
-  ```
-
-- Install specific version:
-  ```bash
-  pip install crawl4ai==0.4.3b1
-  ```
-
-#### Why Pre-releases?
-We use pre-releases to:
-- Test new features in real-world scenarios
-- Gather feedback before final releases
-- Ensure stability for production users
-- Allow early adopters to try new features
-
-For production environments, we recommend using the stable version. For testing new features, you can opt-in to pre-releases using the `--pre` flag.
-
-## 📖 Documentation & Roadmap 
-
-> 🚨 **Documentation Update Alert**: We're undertaking a major documentation overhaul next week to reflect recent updates and improvements. Stay tuned for a more comprehensive and up-to-date guide!
-
-For current documentation, including installation instructions, advanced features, and API reference, visit our [Documentation Website](https://docs.crawl4ai.com/).
-
-To check our development plans and upcoming features, visit our [Roadmap](https://github.com/unclecode/crawl4ai/blob/main/ROADMAP.md).
-
-<details>
-<summary>📈 <strong>Development TODOs</strong></summary>
-
-- [x] 0. Graph Crawler: Smart website traversal using graph search algorithms for comprehensive nested page extraction
-- [ ] 1. Question-Based Crawler: Natural language driven web discovery and content extraction
-- [ ] 2. Knowledge-Optimal Crawler: Smart crawling that maximizes knowledge while minimizing data extraction
-- [ ] 3. Agentic Crawler: Autonomous system for complex multi-step crawling operations
-- [ ] 4. Automated Schema Generator: Convert natural language to extraction schemas
-- [ ] 5. Domain-Specific Scrapers: Pre-configured extractors for common platforms (academic, e-commerce)
-- [ ] 6. Web Embedding Index: Semantic search infrastructure for crawled content
-- [ ] 7. Interactive Playground: Web UI for testing, comparing strategies with AI assistance
-- [ ] 8. Performance Monitor: Real-time insights into crawler operations
-- [ ] 9. Cloud Integration: One-click deployment solutions across cloud providers
-- [ ] 10. Sponsorship Program: Structured support system with tiered benefits
-- [ ] 11. Educational Content: "How to Crawl" video series and interactive tutorials
-
-</details>
-
-## 🤝 Contributing 
-
-We welcome contributions from the open-source community. Check out our [contribution guidelines](https://github.com/unclecode/crawl4ai/blob/main/CONTRIBUTORS.md) for more information.
-
-I'll help modify the license section with badges. For the halftone effect, here's a version with it:
-
-Here's the updated license section:
-
-## 📄 License & Attribution
-
-This project is licensed under the Apache License 2.0, attribution is recommended via the badges below. See the [Apache 2.0 License](https://github.com/unclecode/crawl4ai/blob/main/LICENSE) file for details.
-
-### Attribution Requirements
-When using Crawl4AI, you must include one of the following attribution methods:
-
-#### 1. Badge Attribution (Recommended)
-Add one of these badges to your README, documentation, or website:
-
-| Theme | Badge |
-|-------|-------|
-| **Disco Theme (Animated)** | <a href="https://github.com/unclecode/crawl4ai"><img src="./docs/assets/powered-by-disco.svg" alt="Powered by Crawl4AI" width="200"/></a> |
-| **Night Theme (Dark with Neon)** | <a href="https://github.com/unclecode/crawl4ai"><img src="./docs/assets/powered-by-night.svg" alt="Powered by Crawl4AI" width="200"/></a> |
-| **Dark Theme (Classic)** | <a href="https://github.com/unclecode/crawl4ai"><img src="./docs/assets/powered-by-dark.svg" alt="Powered by Crawl4AI" width="200"/></a> |
-| **Light Theme (Classic)** | <a href="https://github.com/unclecode/crawl4ai"><img src="./docs/assets/powered-by-light.svg" alt="Powered by Crawl4AI" width="200"/></a> |
- 
-
-HTML code for adding the badges:
-```html
-<!-- Disco Theme (Animated) -->
-<a href="https://github.com/unclecode/crawl4ai">
-  <img src="https://raw.githubusercontent.com/unclecode/crawl4ai/main/docs/assets/powered-by-disco.svg" alt="Powered by Crawl4AI" width="200"/>
-</a>
-
-<!-- Night Theme (Dark with Neon) -->
-<a href="https://github.com/unclecode/crawl4ai">
-  <img src="https://raw.githubusercontent.com/unclecode/crawl4ai/main/docs/assets/powered-by-night.svg" alt="Powered by Crawl4AI" width="200"/>
-</a>
-
-<!-- Dark Theme (Classic) -->
-<a href="https://github.com/unclecode/crawl4ai">
-  <img src="https://raw.githubusercontent.com/unclecode/crawl4ai/main/docs/assets/powered-by-dark.svg" alt="Powered by Crawl4AI" width="200"/>
-</a>
-
-<!-- Light Theme (Classic) -->
-<a href="https://github.com/unclecode/crawl4ai">
-  <img src="https://raw.githubusercontent.com/unclecode/crawl4ai/main/docs/assets/powered-by-light.svg" alt="Powered by Crawl4AI" width="200"/>
-</a>
-
-<!-- Simple Shield Badge -->
-<a href="https://github.com/unclecode/crawl4ai">
-  <img src="https://img.shields.io/badge/Powered%20by-Crawl4AI-blue?style=flat-square" alt="Powered by Crawl4AI"/>
-</a>
-```
-
-#### 2. Text Attribution
-Add this line to your documentation:
-```
-This project uses Crawl4AI (https://github.com/unclecode/crawl4ai) for web data extraction.
-```
-
-## 📚 Citation
-
-If you use Crawl4AI in your research or project, please cite:
-
-```bibtex
-@software{crawl4ai2024,
-  author = {UncleCode},
-  title = {Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper},
-  year = {2024},
-  publisher = {GitHub},
-  journal = {GitHub Repository},
-  howpublished = {\url{https://github.com/unclecode/crawl4ai}},
-  commit = {Please use the commit hash you're working with}
-}
-```
-
-Text citation format:
-```
-UncleCode. (2024). Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper [Computer software]. 
-GitHub. https://github.com/unclecode/crawl4ai
-```
-
-## 📧 Contact 
-
-For questions, suggestions, or feedback, feel free to reach out:
-
-- GitHub: [unclecode](https://github.com/unclecode)
-- Twitter: [@unclecode](https://twitter.com/unclecode)
-- Website: [crawl4ai.com](https://crawl4ai.com)
-
-Happy Crawling! 🕸️🚀
-
-## 💖 Support Crawl4AI
-
-> 🎉 **Sponsorship Program Just Launched!** Be among the first 50 **Founding Sponsors** and get permanent recognition in our Hall of Fame!
-
-Crawl4AI is the #1 trending open-source web crawler with 51K+ stars. Your support ensures we stay independent, innovative, and free forever.
-
-<div align="center">
-
-[![Become a Sponsor](https://img.shields.io/badge/Become%20a%20Sponsor-pink?style=for-the-badge&logo=github-sponsors&logoColor=white)](https://github.com/sponsors/unclecode)
-[![Current Sponsors](https://img.shields.io/github/sponsors/unclecode?style=for-the-badge&logo=github&label=Current%20Sponsors&color=green)](https://github.com/sponsors/unclecode)
-
-</div>
-
-### 🤝 Sponsorship Tiers
-
-- **🌱 Believer ($5/mo)**: Join the movement for data democratization
-- **🚀 Builder ($50/mo)**: Get priority support and early feature access  
-- **💼 Growing Team ($500/mo)**: Bi-weekly syncs and optimization help
-- **🏢 Data Infrastructure Partner ($2000/mo)**: Full partnership with dedicated support
-
-**Why sponsor?** Every tier includes real benefits. No more rate-limited APIs. Own your data pipeline. Build data sovereignty together.
-
-[View All Tiers & Benefits →](https://github.com/sponsors/unclecode)
-
-### 🏆 Our Sponsors
-
-#### 👑 Founding Sponsors (First 50)
-*Be part of history - [Become a Founding Sponsor](https://github.com/sponsors/unclecode)*
-
-<!-- Founding sponsors will be permanently recognized here -->
-
-#### Current Sponsors
-Thank you to all our sponsors who make this project possible!
-
-<!-- Sponsors will be automatically added here -->
-
-## 🗾 Mission
-
-Our mission is to unlock the value of personal and enterprise data by transforming digital footprints into structured, tradeable assets. Crawl4AI empowers individuals and organizations with open-source tools to extract and structure data, fostering a shared data economy.  
-
-We envision a future where AI is powered by real human knowledge, ensuring data creators directly benefit from their contributions. By democratizing data and enabling ethical sharing, we are laying the foundation for authentic AI advancement.
-
-<details>
-<summary>🔑 <strong>Key Opportunities</strong></summary>
- 
-- **Data Capitalization**: Transform digital footprints into measurable, valuable assets.  
-- **Authentic AI Data**: Provide AI systems with real human insights.  
-- **Shared Economy**: Create a fair data marketplace that benefits data creators.  
-
-</details>
-
-<details>
-<summary>🚀 <strong>Development Pathway</strong></summary>
-
-1. **Open-Source Tools**: Community-driven platforms for transparent data extraction.  
-2. **Digital Asset Structuring**: Tools to organize and value digital knowledge.  
-3. **Ethical Data Marketplace**: A secure, fair platform for exchanging structured data.  
-
-For more details, see our [full mission statement](./MISSION.md).
-</details>
-
-## Star History
-
-[![Star History Chart](https://api.star-history.com/svg?repos=unclecode/crawl4ai&type=Date)](https://star-history.com/#unclecode/crawl4ai&Date)

README.md

@@ -10,7 +10,6 @@
 [![PyPI version](https://badge.fury.io/py/crawl4ai.svg)](https://badge.fury.io/py/crawl4ai)
 [![Python Version](https://img.shields.io/pypi/pyversions/crawl4ai)](https://pypi.org/project/crawl4ai/)
 [![Downloads](https://static.pepy.tech/badge/crawl4ai/month)](https://pepy.tech/project/crawl4ai)
-[![GitHub Sponsors](https://img.shields.io/github/sponsors/unclecode?style=flat&logo=GitHub-Sponsors&label=Sponsors&color=pink)](https://github.com/sponsors/unclecode)
 
 <p align="center">
     <a href="https://x.com/crawl4ai">
@@ -25,37 +24,32 @@
   </p>
 </div>
 
-Crawl4AI turns the web into clean, LLM ready Markdown for RAG, agents, and data pipelines. Fast, controllable, battle tested by a 50k+ star community.
+Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. It delivers blazing-fast, AI-ready web crawling tailored for LLMs, AI agents, and data pipelines. Open source, flexible, and built for real-time performance, Crawl4AI empowers developers with unmatched speed, precision, and deployment ease.  
 
-[✨ Check out latest update v0.7.6](#-recent-updates)
+[✨ Check out latest update v0.7.0](#-recent-updates)
 
-✨ **New in v0.7.6**: Complete Webhook Infrastructure for Docker Job Queue API! Real-time notifications for both `/crawl/job` and `/llm/job` endpoints with exponential backoff retry, custom headers, and flexible delivery modes. No more polling! [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.6.md)
-
-✨ Recent v0.7.5: Docker Hooks System with function-based API for pipeline customization, Enhanced LLM Integration with custom providers, HTTPS Preservation, and multiple community-reported bug fixes. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)
-
-✨ Previous v0.7.4: Revolutionary LLM Table Extraction with intelligent chunking, enhanced concurrency fixes, memory management refactor, and critical stability improvements. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.4.md)
+🎉 **Version 0.7.0 is now available!** The Adaptive Intelligence Update introduces groundbreaking features: Adaptive Crawling that learns website patterns, Virtual Scroll support for infinite pages, intelligent Link Preview with 3-layer scoring, Async URL Seeder for massive discovery, and significant performance improvements. [Read the release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.0.md)
 
 <details>
-  <summary>🤓 <strong>My Personal Story</strong></summary>
+<summary>🤓 <strong>My Personal Story</strong></summary>
 
-I grew up on an Amstrad, thanks to my dad, and never stopped building. In grad school I specialized in NLP and built crawlers for research. That’s where I learned how much extraction matters.
+My journey with computers started in childhood when my dad, a computer scientist, introduced me to an Amstrad computer. Those early days sparked a fascination with technology, leading me to pursue computer science and specialize in NLP during my postgraduate studies. It was during this time that I first delved into web crawling, building tools to help researchers organize papers and extract information from publications a challenging yet rewarding experience that honed my skills in data extraction.
 
-In 2023, I needed web-to-Markdown. The “open source” option wanted an account, API token, and $16, and still under-delivered. I went turbo anger mode, built Crawl4AI in days, and it went viral. Now it’s the most-starred crawler on GitHub.
+Fast forward to 2023, I was working on a tool for a project and needed a crawler to convert a webpage into markdown. While exploring solutions, I found one that claimed to be open-source but required creating an account and generating an API token. Worse, it turned out to be a SaaS model charging $16, and its quality didn’t meet my standards. Frustrated, I realized this was a deeper problem. That frustration turned into turbo anger mode, and I decided to build my own solution. In just a few days, I created Crawl4AI. To my surprise, it went viral, earning thousands of GitHub stars and resonating with a global community.
 
-I made it open source for **availability**, anyone can use it without a gate. Now I’m building the platform for **affordability**, anyone can run serious crawls without breaking the bank. If that resonates, join in, send feedback, or just crawl something amazing.
+I made Crawl4AI open-source for two reasons. First, it’s my way of giving back to the open-source community that has supported me throughout my career. Second, I believe data should be accessible to everyone, not locked behind paywalls or monopolized by a few. Open access to data lays the foundation for the democratization of AI, a vision where individuals can train their own models and take ownership of their information. This library is the first step in a larger journey to create the best open-source data extraction and generation tool the world has ever seen, built collaboratively by a passionate community.
+
+Thank you to everyone who has supported this project, used it, and shared feedback. Your encouragement motivates me to dream even bigger. Join us, file issues, submit PRs, or spread the word. Together, we can build a tool that truly empowers people to access their own data and reshape the future of AI.
 </details>
 
+## 🧐 Why Crawl4AI?
 
-<details>
-  <summary>Why developers pick Crawl4AI</summary>
-
-- **LLM ready output**, smart Markdown with headings, tables, code, citation hints
-- **Fast in practice**, async browser pool, caching, minimal hops
-- **Full control**, sessions, proxies, cookies, user scripts, hooks
-- **Adaptive intelligence**, learns site patterns, explores only what matters
-- **Deploy anywhere**, zero keys, CLI and Docker, cloud friendly
-</details>
-
+1. **Built for LLMs**: Creates smart, concise Markdown optimized for RAG and fine-tuning applications.  
+2. **Lightning Fast**: Delivers results 6x faster with real-time, cost-efficient performance.  
+3. **Flexible Browser Control**: Offers session management, proxies, and custom hooks for seamless data access.  
+4. **Heuristic Intelligence**: Uses advanced algorithms for efficient extraction, reducing reliance on costly models.  
+5. **Open Source & Deployable**: Fully open-source with no API keys—ready for Docker and cloud integration.  
+6. **Thriving Community**: Actively maintained by a vibrant community and the #1 trending GitHub repository.
 
 ## 🚀 Quick Start 
 
@@ -107,33 +101,6 @@ crwl https://docs.crawl4ai.com --deep-crawl bfs --max-pages 10
 crwl https://www.example.com/products -q "Extract all product prices"
 ```
 
-## 💖 Support Crawl4AI
-
-> 🎉 **Sponsorship Program Now Open!** After powering 51K+ developers and 1 year of growth, Crawl4AI is launching dedicated support for **startups** and **enterprises**. Be among the first 50 **Founding Sponsors** for permanent recognition in our Hall of Fame.
-
-Crawl4AI is the #1 trending open-source web crawler on GitHub. Your support keeps it independent, innovative, and free for the community — while giving you direct access to premium benefits.
-
-<div align="">
-  
-[![Become a Sponsor](https://img.shields.io/badge/Become%20a%20Sponsor-pink?style=for-the-badge&logo=github-sponsors&logoColor=white)](https://github.com/sponsors/unclecode)  
-[![Current Sponsors](https://img.shields.io/github/sponsors/unclecode?style=for-the-badge&logo=github&label=Current%20Sponsors&color=green)](https://github.com/sponsors/unclecode)
-
-</div>
-
-### 🤝 Sponsorship Tiers
-
-- **🌱 Believer ($5/mo)** — Join the movement for data democratization  
-- **🚀 Builder ($50/mo)** — Priority support & early access to features  
-- **💼 Growing Team ($500/mo)** — Bi-weekly syncs & optimization help  
-- **🏢 Data Infrastructure Partner ($2000/mo)** — Full partnership with dedicated support  
-  *Custom arrangements available - see [SPONSORS.md](SPONSORS.md) for details & contact*
-
-**Why sponsor?**  
-No rate-limited APIs. No lock-in. Build and own your data pipeline with direct guidance from the creator of Crawl4AI.
-
-[See All Tiers & Benefits →](https://github.com/sponsors/unclecode)
-
-
 ## ✨ Features 
 
 <details>
@@ -179,7 +146,7 @@ No rate-limited APIs. No lock-in. Build and own your data pipeline with direct g
 - 📸 **Screenshots**: Capture page screenshots during crawling for debugging or analysis.
 - 📂 **Raw Data Crawling**: Directly process raw HTML (`raw:`) or local files (`file://`).
 - 🔗 **Comprehensive Link Extraction**: Extracts internal, external links, and embedded iframe content.
-- 🛠️ **Customizable Hooks**: Define hooks at every step to customize crawling behavior (supports both string and function-based APIs).
+- 🛠️ **Customizable Hooks**: Define hooks at every step to customize crawling behavior.
 - 💾 **Caching**: Cache data for improved speed and to avoid redundant fetches.
 - 📄 **Metadata Extraction**: Retrieve structured metadata from web pages.
 - 📡 **IFrame Content Extraction**: Seamless extraction from embedded iframe content.
@@ -306,13 +273,19 @@ The new Docker implementation includes:
 ### Getting Started
 
 ```bash
-# Pull and run the latest release
-docker pull unclecode/crawl4ai:latest
-docker run -d -p 11235:11235 --name crawl4ai --shm-size=1g unclecode/crawl4ai:latest
+# Pull and run the latest release candidate
+docker pull unclecode/crawl4ai:0.7.0
+docker run -d -p 11235:11235 --name crawl4ai --shm-size=1g unclecode/crawl4ai:0.7.0
 
 # Visit the playground at http://localhost:11235/playground
 ```
 
+For complete documentation, see our [Docker Deployment Guide](https://docs.crawl4ai.com/core/docker-deployment/).
+
+</details>
+
+---
+
 ### Quick Test
 
 Run a quick test (works for both Docker options):
@@ -343,11 +316,10 @@ For more examples, see our [Docker Examples](https://github.com/unclecode/crawl4
 
 </details>
 
----
 
 ## 🔬 Advanced Usage Examples 🔬
 
-You can check the project structure in the directory [docs/examples](https://github.com/unclecode/crawl4ai/tree/main/docs/examples). Over there, you can find a variety of examples; here, some popular examples are shared.
+You can check the project structure in the directory [https://github.com/unclecode/crawl4ai/docs/examples](docs/examples). Over there, you can find a variety of examples; here, some popular examples are shared.
 
 <details>
 <summary>📝 <strong>Heuristic Markdown Generation with Clean and Fit Markdown</strong></summary>
@@ -375,7 +347,7 @@ async def main():
     
     async with AsyncWebCrawler(config=browser_config) as crawler:
         result = await crawler.arun(
-            url="https://docs.micronaut.io/4.9.9/guide/",
+            url="https://docs.micronaut.io/4.7.6/guide/",
             config=run_config
         )
         print(len(result.markdown.raw_markdown))
@@ -427,7 +399,7 @@ async def main():
             "type": "attribute",
             "attribute": "src"
         }
-    ]
+    }
 }
 
     extraction_strategy = JsonCssExtractionStrategy(schema, verbose=True)
@@ -506,7 +478,7 @@ if __name__ == "__main__":
 </details>
 
 <details>
-<summary>🤖 <strong>Using Your own Browser with Custom User Profile</strong></summary>
+<summary>🤖 <strong>Using You own Browser with Custom User Profile</strong></summary>
 
 ```python
 import os, sys
@@ -546,171 +518,7 @@ async def test_news_crawl():
 
 ## ✨ Recent Updates
 
-<details>
-<summary><strong>Version 0.7.5 Release Highlights - The Docker Hooks & Security Update</strong></summary>
-
-- **🔧 Docker Hooks System**: Complete pipeline customization with user-provided Python functions at 8 key points
-- **✨ Function-Based Hooks API (NEW)**: Write hooks as regular Python functions with full IDE support:
-  ```python
-  from crawl4ai import hooks_to_string
-  from crawl4ai.docker_client import Crawl4aiDockerClient
-
-  # Define hooks as regular Python functions
-  async def on_page_context_created(page, context, **kwargs):
-      """Block images to speed up crawling"""
-      await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
-      await page.set_viewport_size({"width": 1920, "height": 1080})
-      return page
-
-  async def before_goto(page, context, url, **kwargs):
-      """Add custom headers"""
-      await page.set_extra_http_headers({'X-Crawl4AI': 'v0.7.5'})
-      return page
-
-  # Option 1: Use hooks_to_string() utility for REST API
-  hooks_code = hooks_to_string({
-      "on_page_context_created": on_page_context_created,
-      "before_goto": before_goto
-  })
-
-  # Option 2: Docker client with automatic conversion (Recommended)
-  client = Crawl4aiDockerClient(base_url="http://localhost:11235")
-  results = await client.crawl(
-      urls=["https://httpbin.org/html"],
-      hooks={
-          "on_page_context_created": on_page_context_created,
-          "before_goto": before_goto
-      }
-  )
-  # ✓ Full IDE support, type checking, and reusability!
-  ```
-
-- **🤖 Enhanced LLM Integration**: Custom providers with temperature control and base_url configuration
-- **🔒 HTTPS Preservation**: Secure internal link handling with `preserve_https_for_internal_links=True`
-- **🐍 Python 3.10+ Support**: Modern language features and enhanced performance
-- **🛠️ Bug Fixes**: Resolved multiple community-reported issues including URL processing, JWT authentication, and proxy configuration
-
-[Full v0.7.5 Release Notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)
-
-</details>
-
-<details>
-<summary><strong>Version 0.7.4 Release Highlights - The Intelligent Table Extraction & Performance Update</strong></summary>
-
-- **🚀 LLMTableExtraction**: Revolutionary table extraction with intelligent chunking for massive tables:
-  ```python
-  from crawl4ai import LLMTableExtraction, LLMConfig
-  
-  # Configure intelligent table extraction
-  table_strategy = LLMTableExtraction(
-      llm_config=LLMConfig(provider="openai/gpt-4.1-mini"),
-      enable_chunking=True,           # Handle massive tables
-      chunk_token_threshold=5000,     # Smart chunking threshold
-      overlap_threshold=100,          # Maintain context between chunks
-      extraction_type="structured"    # Get structured data output
-  )
-  
-  config = CrawlerRunConfig(table_extraction_strategy=table_strategy)
-  result = await crawler.arun("https://complex-tables-site.com", config=config)
-  
-  # Tables are automatically chunked, processed, and merged
-  for table in result.tables:
-      print(f"Extracted table: {len(table['data'])} rows")
-  ```
-
-- **⚡ Dispatcher Bug Fix**: Fixed sequential processing bottleneck in arun_many for fast-completing tasks
-- **🧹 Memory Management Refactor**: Consolidated memory utilities into main utils module for cleaner architecture
-- **🔧 Browser Manager Fixes**: Resolved race conditions in concurrent page creation with thread-safe locking
-- **🔗 Advanced URL Processing**: Better handling of raw:// URLs and base tag link resolution
-- **🛡️ Enhanced Proxy Support**: Flexible proxy configuration supporting both dict and string formats
-
-[Full v0.7.4 Release Notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.4.md)
-
-</details>
-
-<details>
-<summary><strong>Version 0.7.3 Release Highlights - The Multi-Config Intelligence Update</strong></summary>
-
-- **🕵️ Undetected Browser Support**: Bypass sophisticated bot detection systems:
-  ```python
-  from crawl4ai import AsyncWebCrawler, BrowserConfig
-  
-  browser_config = BrowserConfig(
-      browser_type="undetected",  # Use undetected Chrome
-      headless=True,              # Can run headless with stealth
-      extra_args=[
-          "--disable-blink-features=AutomationControlled",
-          "--disable-web-security"
-      ]
-  )
-  
-  async with AsyncWebCrawler(config=browser_config) as crawler:
-      result = await crawler.arun("https://protected-site.com")
-  # Successfully bypass Cloudflare, Akamai, and custom bot detection
-  ```
-
-- **🎨 Multi-URL Configuration**: Different strategies for different URL patterns in one batch:
-  ```python
-  from crawl4ai import CrawlerRunConfig, MatchMode
-  
-  configs = [
-      # Documentation sites - aggressive caching
-      CrawlerRunConfig(
-          url_matcher=["*docs*", "*documentation*"],
-          cache_mode="write",
-          markdown_generator_options={"include_links": True}
-      ),
-      
-      # News/blog sites - fresh content
-      CrawlerRunConfig(
-          url_matcher=lambda url: 'blog' in url or 'news' in url,
-          cache_mode="bypass"
-      ),
-      
-      # Fallback for everything else
-      CrawlerRunConfig()
-  ]
-  
-  results = await crawler.arun_many(urls, config=configs)
-  # Each URL gets the perfect configuration automatically
-  ```
-
-- **🧠 Memory Monitoring**: Track and optimize memory usage during crawling:
-  ```python
-  from crawl4ai.memory_utils import MemoryMonitor
-  
-  monitor = MemoryMonitor()
-  monitor.start_monitoring()
-  
-  results = await crawler.arun_many(large_url_list)
-  
-  report = monitor.get_report()
-  print(f"Peak memory: {report['peak_mb']:.1f} MB")
-  print(f"Efficiency: {report['efficiency']:.1f}%")
-  # Get optimization recommendations
-  ```
-
-- **📊 Enhanced Table Extraction**: Direct DataFrame conversion from web tables:
-  ```python
-  result = await crawler.arun("https://site-with-tables.com")
-  
-  # New way - direct table access
-  if result.tables:
-      import pandas as pd
-      for table in result.tables:
-          df = pd.DataFrame(table['data'])
-          print(f"Table: {df.shape[0]} rows × {df.shape[1]} columns")
-  ```
-
-- **💰 GitHub Sponsors**: 4-tier sponsorship system for project sustainability
-- **🐳 Docker LLM Flexibility**: Configure providers via environment variables
-
-[Full v0.7.3 Release Notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.3.md)
-
-</details>
-
-<details>
-<summary><strong>Version 0.7.0 Release Highlights - The Adaptive Intelligence Update</strong></summary>
+### Version 0.7.0 Release Highlights - The Adaptive Intelligence Update
 
 - **🧠 Adaptive Crawling**: Your crawler now learns and adapts to website patterns automatically:
   ```python
@@ -775,14 +583,97 @@ async def test_news_crawl():
 
 Read the full details in our [0.7.0 Release Notes](https://docs.crawl4ai.com/blog/release-v0.7.0) or check the [CHANGELOG](https://github.com/unclecode/crawl4ai/blob/main/CHANGELOG.md).
 
-</details>
+### Previous Version: 0.6.0 Release Highlights
+
+- **🌎 World-aware Crawling**: Set geolocation, language, and timezone for authentic locale-specific content:
+  ```python
+    crun_cfg = CrawlerRunConfig(
+        url="https://browserleaks.com/geo",          # test page that shows your location
+        locale="en-US",                              # Accept-Language & UI locale
+        timezone_id="America/Los_Angeles",           # JS Date()/Intl timezone
+        geolocation=GeolocationConfig(                 # override GPS coords
+            latitude=34.0522,
+            longitude=-118.2437,
+            accuracy=10.0,
+        )
+    )
+  ```
+
+- **📊 Table-to-DataFrame Extraction**: Extract HTML tables directly to CSV or pandas DataFrames:
+  ```python
+    crawler = AsyncWebCrawler(config=browser_config)
+    await crawler.start()
+
+    try:
+        # Set up scraping parameters
+        crawl_config = CrawlerRunConfig(
+            table_score_threshold=8,  # Strict table detection
+        )
+
+        # Execute market data extraction
+        results: List[CrawlResult] = await crawler.arun(
+            url="https://coinmarketcap.com/?page=1", config=crawl_config
+        )
+
+        # Process results
+        raw_df = pd.DataFrame()
+        for result in results:
+            if result.success and result.tables:
+                raw_df = pd.DataFrame(
+                    result.tables[0]["rows"],
+                    columns=result.tables[0]["headers"],
+                )
+                break
+        print(raw_df.head())
+
+    finally:
+        await crawler.close()
+  ```
+
+- **🚀 Browser Pooling**: Pages launch hot with pre-warmed browser instances for lower latency and memory usage
+
+- **🕸️ Network and Console Capture**: Full traffic logs and MHTML snapshots for debugging:
+  ```python
+  crawler_config = CrawlerRunConfig(
+      capture_network=True,
+      capture_console=True,
+      mhtml=True
+  )
+  ```
+
+- **🔌 MCP Integration**: Connect to AI tools like Claude Code through the Model Context Protocol
+  ```bash
+  # Add Crawl4AI to Claude Code
+  claude mcp add --transport sse c4ai-sse http://localhost:11235/mcp/sse
+  ```
+
+- **🖥️ Interactive Playground**: Test configurations and generate API requests with the built-in web interface at `http://localhost:11235//playground`
+
+- **🐳 Revamped Docker Deployment**: Streamlined multi-architecture Docker image with improved resource efficiency
+
+- **📱 Multi-stage Build System**: Optimized Dockerfile with platform-specific performance enhancements
+
+
+### Previous Version: 0.5.0 Major Release Highlights
+
+-   **🚀 Deep Crawling System**: Explore websites beyond initial URLs with BFS, DFS, and BestFirst strategies
+-   **⚡ Memory-Adaptive Dispatcher**: Dynamically adjusts concurrency based on system memory
+-   **🔄 Multiple Crawling Strategies**: Browser-based and lightweight HTTP-only crawlers
+-   **💻 Command-Line Interface**: New `crwl` CLI provides convenient terminal access
+-   **👤 Browser Profiler**: Create and manage persistent browser profiles
+-   **🧠 Crawl4AI Coding Assistant**: AI-powered coding assistant
+-   **🏎️ LXML Scraping Mode**: Fast HTML parsing using the `lxml` library
+-   **🌐 Proxy Rotation**: Built-in support for proxy switching
+-   **🤖 LLM Content Filter**: Intelligent markdown generation using LLMs
+-   **📄 PDF Processing**: Extract text, images, and metadata from PDF files
+
+Read the full details in our [0.5.0 Release Notes](https://docs.crawl4ai.com/blog/releases/0.5.0.html).
 
 ## Version Numbering in Crawl4AI
 
 Crawl4AI follows standard Python version numbering conventions (PEP 440) to help users understand the stability and features of each release.
 
-<details>
-<summary>📈 <strong>Version Numbers Explained</strong></summary>
+### Version Numbers Explained
 
 Our version numbers follow this pattern: `MAJOR.MINOR.PATCH` (e.g., 0.4.3)
 
@@ -819,8 +710,6 @@ We use pre-releases to:
 
 For production environments, we recommend using the stable version. For testing new features, you can opt-in to pre-releases using the `--pre` flag.
 
-</details>
-
 ## 📖 Documentation & Roadmap 
 
 > 🚨 **Documentation Update Alert**: We're undertaking a major documentation overhaul next week to reflect recent updates and improvements. Stay tuned for a more comprehensive and up-to-date guide!
@@ -833,16 +722,16 @@ To check our development plans and upcoming features, visit our [Roadmap](https:
 <summary>📈 <strong>Development TODOs</strong></summary>
 
 - [x] 0. Graph Crawler: Smart website traversal using graph search algorithms for comprehensive nested page extraction
-- [x] 1. Question-Based Crawler: Natural language driven web discovery and content extraction
-- [x] 2. Knowledge-Optimal Crawler: Smart crawling that maximizes knowledge while minimizing data extraction
-- [x] 3. Agentic Crawler: Autonomous system for complex multi-step crawling operations
-- [x] 4. Automated Schema Generator: Convert natural language to extraction schemas
-- [x] 5. Domain-Specific Scrapers: Pre-configured extractors for common platforms (academic, e-commerce)
-- [x] 6. Web Embedding Index: Semantic search infrastructure for crawled content
-- [x] 7. Interactive Playground: Web UI for testing, comparing strategies with AI assistance
-- [x] 8. Performance Monitor: Real-time insights into crawler operations
+- [ ] 1. Question-Based Crawler: Natural language driven web discovery and content extraction
+- [ ] 2. Knowledge-Optimal Crawler: Smart crawling that maximizes knowledge while minimizing data extraction
+- [ ] 3. Agentic Crawler: Autonomous system for complex multi-step crawling operations
+- [ ] 4. Automated Schema Generator: Convert natural language to extraction schemas
+- [ ] 5. Domain-Specific Scrapers: Pre-configured extractors for common platforms (academic, e-commerce)
+- [ ] 6. Web Embedding Index: Semantic search infrastructure for crawled content
+- [ ] 7. Interactive Playground: Web UI for testing, comparing strategies with AI assistance
+- [ ] 8. Performance Monitor: Real-time insights into crawler operations
 - [ ] 9. Cloud Integration: One-click deployment solutions across cloud providers
-- [x] 10. Sponsorship Program: Structured support system with tiered benefits
+- [ ] 10. Sponsorship Program: Structured support system with tiered benefits
 - [ ] 11. Educational Content: "How to Crawl" video series and interactive tutorials
 
 </details>
@@ -857,13 +746,12 @@ Here's the updated license section:
 
 ## 📄 License & Attribution
 
-This project is licensed under the Apache License 2.0, attribution is recommended via the badges below. See the [Apache 2.0 License](https://github.com/unclecode/crawl4ai/blob/main/LICENSE) file for details.
+This project is licensed under the Apache License 2.0 with a required attribution clause. See the [Apache 2.0 License](https://github.com/unclecode/crawl4ai/blob/main/LICENSE) file for details.
 
 ### Attribution Requirements
 When using Crawl4AI, you must include one of the following attribution methods:
 
-<details>
-<summary>📈 <strong>1. Badge Attribution (Recommended)</strong></summary>
+#### 1. Badge Attribution (Recommended)
 Add one of these badges to your README, documentation, or website:
 
 | Theme | Badge |
@@ -902,15 +790,11 @@ HTML code for adding the badges:
 </a>
 ```
 
-</details>
-
-<details>
-<summary>📖 <strong>2. Text Attribution</strong></summary>
+#### 2. Text Attribution
 Add this line to your documentation:
 ```
 This project uses Crawl4AI (https://github.com/unclecode/crawl4ai) for web data extraction.
 ```
-</details>
 
 ## 📚 Citation
 
@@ -969,36 +853,6 @@ We envision a future where AI is powered by real human knowledge, ensuring data
 For more details, see our [full mission statement](./MISSION.md).
 </details>
 
-## 🌟 Current Sponsors
-
-### 🏢 Enterprise Sponsors & Partners
-
-Our enterprise sponsors and technology partners help scale Crawl4AI to power production-grade data pipelines.
-
-| Company | About | Sponsorship Tier |
-|------|------|----------------------------|
-| <a href="https://dashboard.capsolver.com/passport/register?inviteCode=ESVSECTX5Q23" target="_blank"><picture><source width="120" media="(prefers-color-scheme: dark)" srcset="https://docs.crawl4ai.com/uploads/sponsors/20251013045338_72a71fa4ee4d2f40.png"><source width="120" media="(prefers-color-scheme: light)" srcset="https://www.capsolver.com/assets/images/logo-text.png"><img alt="Capsolver" src="https://www.capsolver.com/assets/images/logo-text.png"></picture></a> | AI-powered Captcha solving service. Supports all major Captcha types, including reCAPTCHA, Cloudflare, and more | 🥈 Silver |
-| <a href="https://kipo.ai" target="_blank"><img src="https://docs.crawl4ai.com/uploads/sponsors/20251013045751_2d54f57f117c651e.png" alt="DataSync" width="120"/></a> | Helps engineers and buyers find, compare, and source electronic & industrial parts in seconds, with specs, pricing, lead times & alternatives.| 🥇 Gold |
-| <a href="https://www.kidocode.com/" target="_blank"><img src="https://docs.crawl4ai.com/uploads/sponsors/20251013045045_bb8dace3f0440d65.svg" alt="Kidocode" width="120"/><p align="center">KidoCode</p></a> | Kidocode is a hybrid technology and entrepreneurship school for kids aged 5–18, offering both online and on-campus education. | 🥇 Gold |
-| <a href="https://www.alephnull.sg/" target="_blank"><img src="https://docs.crawl4ai.com/uploads/sponsors/20251013050323_a9e8e8c4c3650421.svg" alt="Aleph null" width="120"/></a> | Singapore-based  Aleph Null is Asia’s leading edtech hub, dedicated to student-centric, AI-driven education—empowering learners with the tools to thrive in a fast-changing world. | 🥇 Gold |
-
-### 🧑‍🤝 Individual Sponsors
-
-A heartfelt thanks to our individual supporters! Every contribution helps us keep our opensource mission alive and thriving!
-
-<p align="left">
-  <a href="https://github.com/hafezparast"><img src="https://avatars.githubusercontent.com/u/14273305?s=60&v=4" style="border-radius:50%;" width="64px;"/></a>
-  <a href="https://github.com/ntohidi"><img src="https://avatars.githubusercontent.com/u/17140097?s=60&v=4" style="border-radius:50%;"width="64px;"/></a>
-  <a href="https://github.com/Sjoeborg"><img src="https://avatars.githubusercontent.com/u/17451310?s=60&v=4" style="border-radius:50%;"width="64px;"/></a>
-  <a href="https://github.com/romek-rozen"><img src="https://avatars.githubusercontent.com/u/30595969?s=60&v=4" style="border-radius:50%;"width="64px;"/></a>
-  <a href="https://github.com/Kourosh-Kiyani"><img src="https://avatars.githubusercontent.com/u/34105600?s=60&v=4" style="border-radius:50%;"width="64px;"/></a>
-  <a href="https://github.com/Etherdrake"><img src="https://avatars.githubusercontent.com/u/67021215?s=60&v=4" style="border-radius:50%;"width="64px;"/></a>
-  <a href="https://github.com/shaman247"><img src="https://avatars.githubusercontent.com/u/211010067?s=60&v=4" style="border-radius:50%;"width="64px;"/></a>
-  <a href="https://github.com/work-flow-manager"><img src="https://avatars.githubusercontent.com/u/217665461?s=60&v=4" style="border-radius:50%;"width="64px;"/></a>
-</p>
-
-> Want to join them? [Sponsor Crawl4AI →](https://github.com/sponsors/unclecode)
-
 ## Star History
 
 [![Star History Chart](https://api.star-history.com/svg?repos=unclecode/crawl4ai&type=Date)](https://star-history.com/#unclecode/crawl4ai&Date)

SPONSORS.md

@@ -1,65 +0,0 @@
-# 💖 Sponsors & Supporters
-
-Thank you to everyone supporting Crawl4AI! Your sponsorship helps keep this project open-source and actively maintained.
-
-## 👑 Founding Sponsors
-*The first 50 sponsors who believed in our vision - permanently recognized*
-
-<!-- Founding sponsors will be listed here with special recognition -->
-🎉 **Become a Founding Sponsor!** Only [X/50] spots remaining! [Join now →](https://github.com/sponsors/unclecode)
-
----
-
-## 🏢 Data Infrastructure Partners ($2000/month)
-*These organizations are building their data sovereignty with Crawl4AI at the core*
-
-<!-- Data Infrastructure Partners will be listed here -->
-*Be the first Data Infrastructure Partner! [Join us →](https://github.com/sponsors/unclecode)*
-
----
-
-## 💼 Growing Teams ($500/month)
-*Teams scaling their data extraction with Crawl4AI*
-
-<!-- Growing Teams will be listed here -->
-*Your team could be here! [Become a sponsor →](https://github.com/sponsors/unclecode)*
-
----
-
-## 🚀 Builders ($50/month)
-*Developers and entrepreneurs building with Crawl4AI*
-
-<!-- Builders will be listed here -->
-*Join the builders! [Start sponsoring →](https://github.com/sponsors/unclecode)*
-
----
-
-## 🌱 Believers ($5/month)
-*The community supporting data democratization*
-
-<!-- Believers will be listed here -->
-*Thank you to all our community believers!*
-
----
-
-## 🤝 Want to Sponsor?
-
-Crawl4AI is the #1 trending open-source web crawler. We're building the future of data extraction - where organizations own their data pipelines instead of relying on rate-limited APIs.
-
-### Available Sponsorship Tiers:
-- **🌱 Believer** ($5/mo) - Support the movement
-- **🚀 Builder** ($50/mo) - Priority support & early access
-- **💼 Growing Team** ($500/mo) - Bi-weekly syncs & optimization
-- **🏢 Data Infrastructure Partner** ($2000/mo) - Full partnership & dedicated support
-
-[View all tiers and benefits →](https://github.com/sponsors/unclecode)
-
-### Enterprise & Custom Partnerships
-
-Building data extraction at scale? Need dedicated support or infrastructure? Let's talk about a custom partnership.
-
-📧 Contact: [hello@crawl4ai.com](mailto:hello@crawl4ai.com) | 📅 [Schedule a call](https://calendar.app.google/rEpvi2UBgUQjWHfJ9)
-
----
-
-*This list is updated regularly. Sponsors at $50+ tiers can submit their logos via [hello@crawl4ai.com](mailto:hello@crawl4ai.com)*

crawl4ai/__init__.py

@@ -29,12 +29,6 @@ from .extraction_strategy import (
 )
 from .chunking_strategy import ChunkingStrategy, RegexChunking
 from .markdown_generation_strategy import DefaultMarkdownGenerator
-from .table_extraction import (
-    TableExtractionStrategy,
-    DefaultTableExtraction,
-    NoTableExtraction,
-    LLMTableExtraction,
-)
 from .content_filter_strategy import (
     PruningContentFilter,
     BM25ContentFilter,
@@ -103,8 +97,7 @@ from .browser_adapter import (
 
 from .utils import (
     start_colab_display_server,
-    setup_colab_environment,
-    hooks_to_string
+    setup_colab_environment
 )
 
 __all__ = [
@@ -163,9 +156,6 @@ __all__ = [
     "ChunkingStrategy",
     "RegexChunking",
     "DefaultMarkdownGenerator",
-    "TableExtractionStrategy",
-    "DefaultTableExtraction",
-    "NoTableExtraction",
     "RelevantContentFilter",
     "PruningContentFilter",
     "BM25ContentFilter",
@@ -184,7 +174,6 @@ __all__ = [
     "ProxyConfig",
     "start_colab_display_server",
     "setup_colab_environment",
-    "hooks_to_string",
     # C4A Script additions
     "c4a_compile",
     "c4a_validate", 

crawl4ai/__version__.py

@@ -1,7 +1,7 @@
 # crawl4ai/__version__.py
 
 # This is the version that will be used for stable releases
-__version__ = "0.7.6"
+__version__ = "0.7.2"
 
 # For nightly builds, this gets set during build process
 __nightly_version__ = None

crawl4ai/adaptive_crawler.py

@@ -19,7 +19,7 @@ import re
 from pathlib import Path
 
 from crawl4ai.async_webcrawler import AsyncWebCrawler
-from crawl4ai.async_configs import CrawlerRunConfig, LinkPreviewConfig, LLMConfig
+from crawl4ai.async_configs import CrawlerRunConfig, LinkPreviewConfig
 from crawl4ai.models import Link, CrawlResult
 import numpy as np
 
@@ -178,7 +178,7 @@ class AdaptiveConfig:
     
     # Embedding strategy parameters
     embedding_model: str = "sentence-transformers/all-MiniLM-L6-v2"
-    embedding_llm_config: Optional[Union[LLMConfig, Dict]] = None  # Separate config for embeddings
+    embedding_llm_config: Optional[Dict] = None  # Separate config for embeddings
     n_query_variations: int = 10
     coverage_threshold: float = 0.85
     alpha_shape_alpha: float = 0.5
@@ -250,30 +250,6 @@ class AdaptiveConfig:
         assert 0 <= self.embedding_quality_max_confidence <= 1, "embedding_quality_max_confidence must be between 0 and 1"
         assert self.embedding_quality_scale_factor > 0, "embedding_quality_scale_factor must be positive"
         assert 0 <= self.embedding_min_confidence_threshold <= 1, "embedding_min_confidence_threshold must be between 0 and 1"
-    
-    @property
-    def _embedding_llm_config_dict(self) -> Optional[Dict]:
-        """Convert LLMConfig to dict format for backward compatibility."""
-        if self.embedding_llm_config is None:
-            return None
-        
-        if isinstance(self.embedding_llm_config, dict):
-            # Already a dict - return as-is for backward compatibility
-            return self.embedding_llm_config
-        
-        # Convert LLMConfig object to dict format
-        return {
-            'provider': self.embedding_llm_config.provider,
-            'api_token': self.embedding_llm_config.api_token,
-            'base_url': getattr(self.embedding_llm_config, 'base_url', None),
-            'temperature': getattr(self.embedding_llm_config, 'temperature', None),
-            'max_tokens': getattr(self.embedding_llm_config, 'max_tokens', None),
-            'top_p': getattr(self.embedding_llm_config, 'top_p', None),
-            'frequency_penalty': getattr(self.embedding_llm_config, 'frequency_penalty', None),
-            'presence_penalty': getattr(self.embedding_llm_config, 'presence_penalty', None),
-            'stop': getattr(self.embedding_llm_config, 'stop', None),
-            'n': getattr(self.embedding_llm_config, 'n', None),
-        }
 
 
 class CrawlStrategy(ABC):
@@ -617,7 +593,7 @@ class StatisticalStrategy(CrawlStrategy):
 class EmbeddingStrategy(CrawlStrategy):
     """Embedding-based adaptive crawling using semantic space coverage"""
     
-    def __init__(self, embedding_model: str = None, llm_config: Union[LLMConfig, Dict] = None):
+    def __init__(self, embedding_model: str = None, llm_config: Dict = None):
         self.embedding_model = embedding_model or "sentence-transformers/all-MiniLM-L6-v2"
         self.llm_config = llm_config
         self._embedding_cache = {}
@@ -629,24 +605,14 @@ class EmbeddingStrategy(CrawlStrategy):
         self._kb_embeddings_hash = None  # Track KB changes
         self._validation_embeddings_cache = None  # Cache validation query embeddings
         self._kb_similarity_threshold = 0.95  # Threshold for deduplication
-    
-    def _get_embedding_llm_config_dict(self) -> Dict:
-        """Get embedding LLM config as dict with fallback to default."""
-        if hasattr(self, 'config') and self.config:
-            config_dict = self.config._embedding_llm_config_dict
-            if config_dict:
-                return config_dict
-        
-        # Fallback to default if no config provided
-        return {
-            'provider': 'openai/text-embedding-3-small',
-            'api_token': os.getenv('OPENAI_API_KEY')
-        }
         
     async def _get_embeddings(self, texts: List[str]) -> Any:
         """Get embeddings using configured method"""
         from .utils import get_text_embeddings
-        embedding_llm_config = self._get_embedding_llm_config_dict()
+        embedding_llm_config = {
+            'provider': 'openai/text-embedding-3-small',
+            'api_token': os.getenv('OPENAI_API_KEY')
+        }
         return await get_text_embeddings(
             texts, 
             embedding_llm_config,
@@ -713,20 +679,8 @@ class EmbeddingStrategy(CrawlStrategy):
         Return as a JSON array of strings."""
         
         # Use the LLM for query generation
-        # Convert LLMConfig to dict if needed
-        llm_config_dict = None
-        if self.llm_config:
-            if isinstance(self.llm_config, dict):
-                llm_config_dict = self.llm_config
-            else:
-                # Convert LLMConfig object to dict
-                llm_config_dict = {
-                    'provider': self.llm_config.provider,
-                    'api_token': self.llm_config.api_token
-                }
-        
-        provider = llm_config_dict.get('provider', 'openai/gpt-4o-mini') if llm_config_dict else 'openai/gpt-4o-mini'
-        api_token = llm_config_dict.get('api_token') if llm_config_dict else None
+        provider = self.llm_config.get('provider', 'openai/gpt-4o-mini') if self.llm_config else 'openai/gpt-4o-mini'
+        api_token = self.llm_config.get('api_token') if self.llm_config else None
         
         # response = perform_completion_with_backoff(
         #     provider=provider,
@@ -889,7 +843,10 @@ class EmbeddingStrategy(CrawlStrategy):
         
         # Batch embed only uncached links
         if texts_to_embed:
-            embedding_llm_config = self._get_embedding_llm_config_dict()
+            embedding_llm_config = {
+                'provider': 'openai/text-embedding-3-small',
+                'api_token': os.getenv('OPENAI_API_KEY')
+            }
             new_embeddings = await get_text_embeddings(texts_to_embed, embedding_llm_config, self.embedding_model)
 
             # Cache the new embeddings
@@ -1227,7 +1184,10 @@ class EmbeddingStrategy(CrawlStrategy):
             return
             
         # Get embeddings for new texts
-        embedding_llm_config = self._get_embedding_llm_config_dict()      
+        embedding_llm_config = {
+            'provider': 'openai/text-embedding-3-small',
+            'api_token': os.getenv('OPENAI_API_KEY')
+        }        
         new_embeddings = await get_text_embeddings(new_texts, embedding_llm_config, self.embedding_model)
 
         # Deduplicate embeddings before adding to KB
@@ -1296,12 +1256,10 @@ class AdaptiveCrawler:
         if strategy_name == "statistical":
             return StatisticalStrategy()
         elif strategy_name == "embedding":
-            strategy = EmbeddingStrategy(
+            return EmbeddingStrategy(
                 embedding_model=self.config.embedding_model,
                 llm_config=self.config.embedding_llm_config
             )
-            strategy.config = self.config  # Pass config to strategy
-            return strategy
         else:
             raise ValueError(f"Unknown strategy: {strategy_name}")
     

crawl4ai/async_configs.py

@@ -1,6 +1,5 @@
 import os
 from typing import Union
-import warnings
 from .config import (
     DEFAULT_PROVIDER,
     DEFAULT_PROVIDER_API_KEY,
@@ -21,7 +20,6 @@ from .chunking_strategy import ChunkingStrategy, RegexChunking
 from .markdown_generation_strategy import MarkdownGenerationStrategy, DefaultMarkdownGenerator
 from .content_scraping_strategy import ContentScrapingStrategy, LXMLWebScrapingStrategy
 from .deep_crawling import DeepCrawlStrategy
-from .table_extraction import TableExtractionStrategy, DefaultTableExtraction
 
 from .cache_context import CacheMode
 from .proxy_strategy import ProxyRotationStrategy
@@ -98,16 +96,13 @@ def to_serializable_dict(obj: Any, ignore_default_value : bool = False) -> Dict:
                 if value != param.default and not ignore_default_value:
                     current_values[name] = to_serializable_dict(value)
         
-        # Don't serialize private __slots__ - they're internal implementation details
-        # not constructor parameters. This was causing URLPatternFilter to fail
-        # because _simple_suffixes was being serialized as 'simple_suffixes'
-        # if hasattr(obj, '__slots__'):
-        #     for slot in obj.__slots__:
-        #         if slot.startswith('_'):  # Handle private slots
-        #             attr_name = slot[1:]  # Remove leading '_'
-        #             value = getattr(obj, slot, None)
-        #             if value is not None:
-        #                 current_values[attr_name] = to_serializable_dict(value)
+        if hasattr(obj, '__slots__'):
+            for slot in obj.__slots__:
+                if slot.startswith('_'):  # Handle private slots
+                    attr_name = slot[1:]  # Remove leading '_'
+                    value = getattr(obj, slot, None)
+                    if value is not None:
+                        current_values[attr_name] = to_serializable_dict(value)
 
             
         
@@ -258,39 +253,24 @@ class ProxyConfig:
     
     @staticmethod
     def from_string(proxy_str: str) -> "ProxyConfig":
-        """Create a ProxyConfig from a string.
-
-        Supported formats:
-        - 'http://username:password@ip:port'
-        - 'http://ip:port'
-        - 'socks5://ip:port'
-        - 'ip:port:username:password'
-        - 'ip:port'
-        """
-        s = (proxy_str or "").strip()
-        # URL with credentials
-        if "@" in s and "://" in s:
-            auth_part, server_part = s.split("@", 1)
-            protocol, credentials = auth_part.split("://", 1)
-            if ":" in credentials:
-                username, password = credentials.split(":", 1)
-                return ProxyConfig(
-                    server=f"{protocol}://{server_part}",
-                    username=username,
-                    password=password,
-                )
-        # URL without credentials (keep scheme)
-        if "://" in s and "@" not in s:
-            return ProxyConfig(server=s)
-        # Colon separated forms
-        parts = s.split(":")
-        if len(parts) == 4:
+        """Create a ProxyConfig from a string in the format 'ip:port:username:password'."""
+        parts = proxy_str.split(":")
+        if len(parts) == 4:  # ip:port:username:password
             ip, port, username, password = parts
-            return ProxyConfig(server=f"http://{ip}:{port}", username=username, password=password)
-        if len(parts) == 2:
+            return ProxyConfig(
+                server=f"http://{ip}:{port}",
+                username=username,
+                password=password,
+                ip=ip
+            )
+        elif len(parts) == 2:  # ip:port only
             ip, port = parts
-            return ProxyConfig(server=f"http://{ip}:{port}")
-        raise ValueError(f"Invalid proxy string format: {proxy_str}")
+            return ProxyConfig(
+                server=f"http://{ip}:{port}",
+                ip=ip
+            )
+        else:
+            raise ValueError(f"Invalid proxy string format: {proxy_str}")
     
     @staticmethod
     def from_dict(proxy_dict: Dict) -> "ProxyConfig":
@@ -454,7 +434,6 @@ class BrowserConfig:
         host: str = "localhost",
         enable_stealth: bool = False,
     ):
-        
         self.browser_type = browser_type
         self.headless = headless 
         self.browser_mode = browser_mode
@@ -467,22 +446,9 @@ class BrowserConfig:
         if self.browser_type in ["firefox", "webkit"]:
             self.channel = ""
             self.chrome_channel = ""
-        if proxy:
-            warnings.warn("The 'proxy' parameter is deprecated and will be removed in a future release. Use 'proxy_config' instead.", UserWarning)
         self.proxy = proxy
         self.proxy_config = proxy_config
-        if isinstance(self.proxy_config, dict):
-            self.proxy_config = ProxyConfig.from_dict(self.proxy_config)
-        if isinstance(self.proxy_config, str):
-            self.proxy_config = ProxyConfig.from_string(self.proxy_config)
-        
-        if self.proxy and self.proxy_config:
-            warnings.warn("Both 'proxy' and 'proxy_config' are provided. 'proxy_config' will take precedence.", UserWarning)
-            self.proxy = None
-        elif self.proxy:
-            # Convert proxy string to ProxyConfig if proxy_config is not provided
-            self.proxy_config = ProxyConfig.from_string(self.proxy)
-            self.proxy = None
+
 
         self.viewport_width = viewport_width
         self.viewport_height = viewport_height
@@ -860,6 +826,12 @@ class HTTPCrawlerConfig:
         return HTTPCrawlerConfig.from_kwargs(config)
 
 class CrawlerRunConfig():
+    _UNWANTED_PROPS = {
+        'disable_cache' : 'Instead, use cache_mode=CacheMode.DISABLED',
+        'bypass_cache' : 'Instead, use cache_mode=CacheMode.BYPASS',
+        'no_cache_read' : 'Instead, use cache_mode=CacheMode.WRITE_ONLY',
+        'no_cache_write' : 'Instead, use cache_mode=CacheMode.READ_ONLY',
+    }
 
     """
     Configuration class for controlling how the crawler runs each crawl operation.
@@ -1006,8 +978,6 @@ class CrawlerRunConfig():
                                          Default: False.
         table_score_threshold (int): Minimum score threshold for processing a table.
                                      Default: 7.
-        table_extraction (TableExtractionStrategy): Strategy to use for table extraction.
-                                     Default: DefaultTableExtraction with table_score_threshold.
 
         # Virtual Scroll Parameters
         virtual_scroll_config (VirtualScrollConfig or dict or None): Configuration for handling virtual scroll containers.
@@ -1066,12 +1036,6 @@ class CrawlerRunConfig():
 
         url: str = None  # This is not a compulsory parameter
     """
-    _UNWANTED_PROPS = {
-        'disable_cache' : 'Instead, use cache_mode=CacheMode.DISABLED',
-        'bypass_cache' : 'Instead, use cache_mode=CacheMode.BYPASS',
-        'no_cache_read' : 'Instead, use cache_mode=CacheMode.WRITE_ONLY',
-        'no_cache_write' : 'Instead, use cache_mode=CacheMode.READ_ONLY',
-    }
 
     def __init__(
         self,
@@ -1140,7 +1104,6 @@ class CrawlerRunConfig():
         image_description_min_word_threshold: int = IMAGE_DESCRIPTION_MIN_WORD_THRESHOLD,
         image_score_threshold: int = IMAGE_SCORE_THRESHOLD,
         table_score_threshold: int = 7,
-        table_extraction: TableExtractionStrategy = None,
         exclude_external_images: bool = False,
         exclude_all_images: bool = False,
         # Link and Domain Handling Parameters
@@ -1150,7 +1113,6 @@ class CrawlerRunConfig():
         exclude_domains: list = None,
         exclude_internal_links: bool = False,
         score_links: bool = False,
-        preserve_https_for_internal_links: bool = False,
         # Debugging and Logging Parameters
         verbose: bool = True,
         log_console: bool = False,
@@ -1197,11 +1159,6 @@ class CrawlerRunConfig():
         self.parser_type = parser_type
         self.scraping_strategy = scraping_strategy or LXMLWebScrapingStrategy()
         self.proxy_config = proxy_config
-        if isinstance(proxy_config, dict):
-            self.proxy_config = ProxyConfig.from_dict(proxy_config)
-        if isinstance(proxy_config, str):
-            self.proxy_config = ProxyConfig.from_string(proxy_config)
-
         self.proxy_rotation_strategy = proxy_rotation_strategy
         
         # Browser Location and Identity Parameters
@@ -1258,12 +1215,6 @@ class CrawlerRunConfig():
         self.exclude_external_images = exclude_external_images
         self.exclude_all_images = exclude_all_images
         self.table_score_threshold = table_score_threshold
-        
-        # Table extraction strategy (default to DefaultTableExtraction if not specified)
-        if table_extraction is None:
-            self.table_extraction = DefaultTableExtraction(table_score_threshold=table_score_threshold)
-        else:
-            self.table_extraction = table_extraction
 
         # Link and Domain Handling Parameters
         self.exclude_social_media_domains = (
@@ -1274,7 +1225,6 @@ class CrawlerRunConfig():
         self.exclude_domains = exclude_domains or []
         self.exclude_internal_links = exclude_internal_links
         self.score_links = score_links
-        self.preserve_https_for_internal_links = preserve_https_for_internal_links
 
         # Debugging and Logging Parameters
         self.verbose = verbose
@@ -1536,7 +1486,6 @@ class CrawlerRunConfig():
                 "image_score_threshold", IMAGE_SCORE_THRESHOLD
             ),
             table_score_threshold=kwargs.get("table_score_threshold", 7),
-            table_extraction=kwargs.get("table_extraction", None),
             exclude_all_images=kwargs.get("exclude_all_images", False),
             exclude_external_images=kwargs.get("exclude_external_images", False),
             # Link and Domain Handling Parameters
@@ -1548,7 +1497,6 @@ class CrawlerRunConfig():
             exclude_domains=kwargs.get("exclude_domains", []),
             exclude_internal_links=kwargs.get("exclude_internal_links", False),
             score_links=kwargs.get("score_links", False),
-            preserve_https_for_internal_links=kwargs.get("preserve_https_for_internal_links", False),
             # Debugging and Logging Parameters
             verbose=kwargs.get("verbose", True),
             log_console=kwargs.get("log_console", False),
@@ -1646,7 +1594,6 @@ class CrawlerRunConfig():
             "image_description_min_word_threshold": self.image_description_min_word_threshold,
             "image_score_threshold": self.image_score_threshold,
             "table_score_threshold": self.table_score_threshold,
-            "table_extraction": self.table_extraction,
             "exclude_all_images": self.exclude_all_images,
             "exclude_external_images": self.exclude_external_images,
             "exclude_social_media_domains": self.exclude_social_media_domains,
@@ -1655,7 +1602,6 @@ class CrawlerRunConfig():
             "exclude_domains": self.exclude_domains,
             "exclude_internal_links": self.exclude_internal_links,
             "score_links": self.score_links,
-            "preserve_https_for_internal_links": self.preserve_https_for_internal_links,
             "verbose": self.verbose,
             "log_console": self.log_console,
             "capture_network_requests": self.capture_network_requests,

crawl4ai/async_crawler_strategy.back.py

@@ -824,7 +824,7 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
             except Error:
                 visibility_info = await self.check_visibility(page)
 
-                if self.browser_config.verbose:
+                if self.browser_config.config.verbose:
                     self.logger.debug(
                         message="Body visibility info: {info}",
                         tag="DEBUG",

crawl4ai/async_crawler_strategy.py

@@ -2129,265 +2129,3 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
             return True  # Default to scrolling if check fails
 
 
-####################################################################################################
-# HTTP Crawler Strategy
-####################################################################################################
-
-class HTTPCrawlerError(Exception):
-    """Base error class for HTTP crawler specific exceptions"""
-    pass
-
-
-class ConnectionTimeoutError(HTTPCrawlerError):
-    """Raised when connection timeout occurs"""
-    pass
-
-
-class HTTPStatusError(HTTPCrawlerError):
-    """Raised for unexpected status codes"""
-    def __init__(self, status_code: int, message: str):
-        self.status_code = status_code
-        super().__init__(f"HTTP {status_code}: {message}")
-
-
-class AsyncHTTPCrawlerStrategy(AsyncCrawlerStrategy):
-    """
-    Fast, lightweight HTTP-only crawler strategy optimized for memory efficiency.
-    """
-    
-    __slots__ = ('logger', 'max_connections', 'dns_cache_ttl', 'chunk_size', '_session', 'hooks', 'browser_config')
-
-    DEFAULT_TIMEOUT: Final[int] = 30
-    DEFAULT_CHUNK_SIZE: Final[int] = 64 * 1024  
-    DEFAULT_MAX_CONNECTIONS: Final[int] = min(32, (os.cpu_count() or 1) * 4)
-    DEFAULT_DNS_CACHE_TTL: Final[int] = 300
-    VALID_SCHEMES: Final = frozenset({'http', 'https', 'file', 'raw'})
-
-    _BASE_HEADERS: Final = MappingProxyType({
-        'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
-        'Accept-Language': 'en-US,en;q=0.5',
-        'Accept-Encoding': 'gzip, deflate, br',
-        'Connection': 'keep-alive',
-        'Upgrade-Insecure-Requests': '1',
-        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
-    })
-    
-    def __init__(
-        self, 
-        browser_config: Optional[HTTPCrawlerConfig] = None,
-        logger: Optional[AsyncLogger] = None,
-        max_connections: int = DEFAULT_MAX_CONNECTIONS,
-        dns_cache_ttl: int = DEFAULT_DNS_CACHE_TTL,
-        chunk_size: int = DEFAULT_CHUNK_SIZE
-    ):
-        """Initialize the HTTP crawler with config"""
-        self.browser_config = browser_config or HTTPCrawlerConfig()
-        self.logger = logger
-        self.max_connections = max_connections
-        self.dns_cache_ttl = dns_cache_ttl
-        self.chunk_size = chunk_size
-        self._session: Optional[aiohttp.ClientSession] = None
-        
-        self.hooks = {
-            k: partial(self._execute_hook, k) 
-            for k in ('before_request', 'after_request', 'on_error')
-        }
-
-        # Set default hooks
-        self.set_hook('before_request', lambda *args, **kwargs: None)
-        self.set_hook('after_request', lambda *args, **kwargs: None)
-        self.set_hook('on_error', lambda *args, **kwargs: None)
-                      
-
-    async def __aenter__(self) -> AsyncHTTPCrawlerStrategy:
-        await self.start()
-        return self
-        
-    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
-        await self.close()
-
-    @contextlib.asynccontextmanager
-    async def _session_context(self):
-        try:
-            if not self._session:
-                await self.start()
-            yield self._session
-        finally:
-            pass
-
-    def set_hook(self, hook_type: str, hook_func: Callable) -> None:
-        if hook_type in self.hooks:
-            self.hooks[hook_type] = partial(self._execute_hook, hook_type, hook_func)
-        else:
-            raise ValueError(f"Invalid hook type: {hook_type}")
-
-    async def _execute_hook(
-        self, 
-        hook_type: str, 
-        hook_func: Callable,
-        *args: Any, 
-        **kwargs: Any
-    ) -> Any:
-        if asyncio.iscoroutinefunction(hook_func):
-            return await hook_func(*args, **kwargs)
-        return hook_func(*args, **kwargs)
-
-    async def start(self) -> None:
-        if not self._session:
-            connector = aiohttp.TCPConnector(
-                limit=self.max_connections,
-                ttl_dns_cache=self.dns_cache_ttl,
-                use_dns_cache=True,
-                force_close=False
-            )
-            self._session = aiohttp.ClientSession(
-                headers=dict(self._BASE_HEADERS),
-                connector=connector,
-                timeout=ClientTimeout(total=self.DEFAULT_TIMEOUT)
-            )
-
-    async def close(self) -> None:
-        if self._session and not self._session.closed:
-            try:
-                await asyncio.wait_for(self._session.close(), timeout=5.0)
-            except asyncio.TimeoutError:
-                if self.logger:
-                    self.logger.warning(
-                        message="Session cleanup timed out",
-                        tag="CLEANUP"
-                    )
-            finally:
-                self._session = None
-
-    async def _stream_file(self, path: str) -> AsyncGenerator[memoryview, None]:
-        async with aiofiles.open(path, mode='rb') as f:
-            while chunk := await f.read(self.chunk_size):
-                yield memoryview(chunk)
-
-    async def _handle_file(self, path: str) -> AsyncCrawlResponse:
-        if not os.path.exists(path):
-            raise FileNotFoundError(f"Local file not found: {path}")
-            
-        chunks = []
-        async for chunk in self._stream_file(path):
-            chunks.append(chunk.tobytes().decode('utf-8', errors='replace'))
-            
-        return AsyncCrawlResponse(
-            html=''.join(chunks),
-            response_headers={},
-            status_code=200
-        )
-
-    async def _handle_raw(self, content: str) -> AsyncCrawlResponse:
-        return AsyncCrawlResponse(
-            html=content,
-            response_headers={},
-            status_code=200
-        )
-
-
-    async def _handle_http(
-        self, 
-        url: str, 
-        config: CrawlerRunConfig
-    ) -> AsyncCrawlResponse:
-        async with self._session_context() as session:
-            timeout = ClientTimeout(
-                total=config.page_timeout or self.DEFAULT_TIMEOUT,
-                connect=10,
-                sock_read=30
-            )
-            
-            headers = dict(self._BASE_HEADERS)
-            if self.browser_config.headers:
-                headers.update(self.browser_config.headers)
-
-            request_kwargs = {
-                'timeout': timeout,
-                'allow_redirects': self.browser_config.follow_redirects,
-                'ssl': self.browser_config.verify_ssl,
-                'headers': headers
-            }
-
-            if self.browser_config.method == "POST":
-                if self.browser_config.data:
-                    request_kwargs['data'] = self.browser_config.data
-                if self.browser_config.json:
-                    request_kwargs['json'] = self.browser_config.json
-
-            await self.hooks['before_request'](url, request_kwargs)
-
-            try:
-                async with session.request(self.browser_config.method, url, **request_kwargs) as response:
-                    content = memoryview(await response.read())
-                    
-                    if not (200 <= response.status < 300):
-                        raise HTTPStatusError(
-                            response.status,
-                            f"Unexpected status code for {url}"
-                        )
-                    
-                    encoding = response.charset
-                    if not encoding:
-                        encoding = chardet.detect(content.tobytes())['encoding'] or 'utf-8'                    
-                    
-                    result = AsyncCrawlResponse(
-                        html=content.tobytes().decode(encoding, errors='replace'),
-                        response_headers=dict(response.headers),
-                        status_code=response.status,
-                        redirected_url=str(response.url)
-                    )
-                    
-                    await self.hooks['after_request'](result)
-                    return result
-
-            except aiohttp.ServerTimeoutError as e:
-                await self.hooks['on_error'](e)
-                raise ConnectionTimeoutError(f"Request timed out: {str(e)}")
-                
-            except aiohttp.ClientConnectorError as e:
-                await self.hooks['on_error'](e)
-                raise ConnectionError(f"Connection failed: {str(e)}")
-                
-            except aiohttp.ClientError as e:
-                await self.hooks['on_error'](e)
-                raise HTTPCrawlerError(f"HTTP client error: {str(e)}")
-            
-            except asyncio.exceptions.TimeoutError as e:
-                await self.hooks['on_error'](e)
-                raise ConnectionTimeoutError(f"Request timed out: {str(e)}")
-            
-            except Exception as e:
-                await self.hooks['on_error'](e)
-                raise HTTPCrawlerError(f"HTTP request failed: {str(e)}")
-
-    async def crawl(
-        self, 
-        url: str, 
-        config: Optional[CrawlerRunConfig] = None, 
-        **kwargs
-    ) -> AsyncCrawlResponse:
-        config = config or CrawlerRunConfig.from_kwargs(kwargs)
-        
-        parsed = urlparse(url)
-        scheme = parsed.scheme.rstrip('/')
-        
-        if scheme not in self.VALID_SCHEMES:
-            raise ValueError(f"Unsupported URL scheme: {scheme}")
-            
-        try:
-            if scheme == 'file':
-                return await self._handle_file(parsed.path)
-            elif scheme == 'raw':
-                return await self._handle_raw(parsed.path)
-            else:  # http or https
-                return await self._handle_http(url, config)
-                
-        except Exception as e:
-            if self.logger:
-                self.logger.error(
-                    message="Crawl failed: {error}",
-                    tag="CRAWL",
-                    params={"error": str(e), "url": url}
-                )
-            raise

crawl4ai/async_dispatcher.py

@@ -22,7 +22,7 @@ from urllib.parse import urlparse
 import random
 from abc import ABC, abstractmethod
 
-from .utils import get_true_memory_usage_percent
+from .memory_utils import get_true_memory_usage_percent
 
 
 class RateLimiter:
@@ -407,34 +407,32 @@ class MemoryAdaptiveDispatcher(BaseDispatcher):
                             t.cancel()
                         raise exc
 
-                # If memory pressure is low, greedily fill all available slots
-                if not self.memory_pressure_mode:
-                    slots = self.max_session_permit - len(active_tasks)
-                    while slots > 0:
-                        try:
-                            # Use get_nowait() to immediately get tasks without blocking
-                            priority, (url, task_id, retry_count, enqueue_time) = self.task_queue.get_nowait()
-                            
-                            # Create and start the task
-                            task = asyncio.create_task(
-                                self.crawl_url(url, config, task_id, retry_count)
+                # If memory pressure is low, start new tasks
+                if not self.memory_pressure_mode and len(active_tasks) < self.max_session_permit:
+                    try:
+                        # Try to get a task with timeout to avoid blocking indefinitely
+                        priority, (url, task_id, retry_count, enqueue_time) = await asyncio.wait_for(
+                            self.task_queue.get(), timeout=0.1
+                        )
+                        
+                        # Create and start the task
+                        task = asyncio.create_task(
+                            self.crawl_url(url, config, task_id, retry_count)
+                        )
+                        active_tasks.append(task)
+                        
+                        # Update waiting time in monitor
+                        if self.monitor:
+                            wait_time = time.time() - enqueue_time
+                            self.monitor.update_task(
+                                task_id, 
+                                wait_time=wait_time,
+                                status=CrawlStatus.IN_PROGRESS
                             )
-                            active_tasks.append(task)
                             
-                            # Update waiting time in monitor
-                            if self.monitor:
-                                wait_time = time.time() - enqueue_time
-                                self.monitor.update_task(
-                                    task_id, 
-                                    wait_time=wait_time,
-                                    status=CrawlStatus.IN_PROGRESS
-                                )
-                            
-                            slots -= 1
-                            
-                        except asyncio.QueueEmpty:
-                            # No more tasks in queue, exit the loop
-                            break
+                    except asyncio.TimeoutError:
+                        # No tasks in queue, that's fine
+                        pass
                         
                 # Wait for completion even if queue is starved
                 if active_tasks:
@@ -455,6 +453,8 @@ class MemoryAdaptiveDispatcher(BaseDispatcher):
                     
                 # Update priorities for waiting tasks if needed
                 await self._update_queue_priorities()
+                
+            return results
 
         except Exception as e:
             if self.monitor:
@@ -465,7 +465,6 @@ class MemoryAdaptiveDispatcher(BaseDispatcher):
             memory_monitor.cancel()
             if self.monitor:
                 self.monitor.stop()
-            return results
                 
     async def _update_queue_priorities(self):
         """Periodically update priorities of items in the queue to prevent starvation"""
@@ -560,34 +559,32 @@ class MemoryAdaptiveDispatcher(BaseDispatcher):
                         for t in active_tasks:
                             t.cancel()
                         raise exc
-                # If memory pressure is low, greedily fill all available slots
-                if not self.memory_pressure_mode:
-                    slots = self.max_session_permit - len(active_tasks)
-                    while slots > 0:
-                        try:
-                            # Use get_nowait() to immediately get tasks without blocking
-                            priority, (url, task_id, retry_count, enqueue_time) = self.task_queue.get_nowait()
-                            
-                            # Create and start the task
-                            task = asyncio.create_task(
-                                self.crawl_url(url, config, task_id, retry_count)
+                # If memory pressure is low, start new tasks
+                if not self.memory_pressure_mode and len(active_tasks) < self.max_session_permit:
+                    try:
+                        # Try to get a task with timeout
+                        priority, (url, task_id, retry_count, enqueue_time) = await asyncio.wait_for(
+                            self.task_queue.get(), timeout=0.1
+                        )
+                        
+                        # Create and start the task
+                        task = asyncio.create_task(
+                            self.crawl_url(url, config, task_id, retry_count)
+                        )
+                        active_tasks.append(task)
+                        
+                        # Update waiting time in monitor
+                        if self.monitor:
+                            wait_time = time.time() - enqueue_time
+                            self.monitor.update_task(
+                                task_id, 
+                                wait_time=wait_time,
+                                status=CrawlStatus.IN_PROGRESS
                             )
-                            active_tasks.append(task)
                             
-                            # Update waiting time in monitor
-                            if self.monitor:
-                                wait_time = time.time() - enqueue_time
-                                self.monitor.update_task(
-                                    task_id, 
-                                    wait_time=wait_time,
-                                    status=CrawlStatus.IN_PROGRESS
-                                )
-                            
-                            slots -= 1
-                            
-                        except asyncio.QueueEmpty:
-                            # No more tasks in queue, exit the loop
-                            break
+                    except asyncio.TimeoutError:
+                        # No tasks in queue, that's fine
+                        pass
                         
                 # Process completed tasks and yield results
                 if active_tasks:

crawl4ai/async_webcrawler.py

@@ -354,7 +354,6 @@ class AsyncWebCrawler:
                     ###############################################################
                     # Process the HTML content, Call CrawlerStrategy.process_html #
                     ###############################################################
-                    from urllib.parse import urlparse
                     crawl_result: CrawlResult = await self.aprocess_html(
                         url=url,
                         html=html,
@@ -365,7 +364,6 @@ class AsyncWebCrawler:
                         verbose=config.verbose,
                         is_raw_html=True if url.startswith("raw:") else False,
                         redirected_url=async_response.redirected_url,
-                        original_scheme=urlparse(url).scheme,
                         **kwargs,
                     )
 

crawl4ai/browser_adapter.py

@@ -148,134 +148,6 @@ class PlaywrightAdapter(BrowserAdapter):
         return Page, Error, PlaywrightTimeoutError
 
 
-class StealthAdapter(BrowserAdapter):
-    """Adapter for Playwright with stealth features using playwright_stealth"""
-
-    def __init__(self):
-        self._console_script_injected = {}
-        self._stealth_available = self._check_stealth_availability()
-
-    def _check_stealth_availability(self) -> bool:
-        """Check if playwright_stealth is available and get the correct function"""
-        try:
-            from playwright_stealth import stealth_async
-            self._stealth_function = stealth_async
-            return True
-        except ImportError:
-            try:
-                from playwright_stealth import stealth_sync
-                self._stealth_function = stealth_sync
-                return True
-            except ImportError:
-                self._stealth_function = None
-                return False
-
-    async def apply_stealth(self, page: Page):
-        """Apply stealth to a page if available"""
-        if self._stealth_available and self._stealth_function:
-            try:
-                if hasattr(self._stealth_function, '__call__'):
-                    if 'async' in getattr(self._stealth_function, '__name__', ''):
-                        await self._stealth_function(page)
-                    else:
-                        self._stealth_function(page)
-            except Exception as e:
-                # Fail silently or log error depending on requirements
-                pass
-
-    async def evaluate(self, page: Page, expression: str, arg: Any = None) -> Any:
-        """Standard Playwright evaluate with stealth applied"""
-        if arg is not None:
-            return await page.evaluate(expression, arg)
-        return await page.evaluate(expression)
-
-    async def setup_console_capture(self, page: Page, captured_console: List[Dict]) -> Optional[Callable]:
-        """Setup console capture using Playwright's event system with stealth"""
-        # Apply stealth to the page first
-        await self.apply_stealth(page)
-
-        def handle_console_capture(msg):
-            try:
-                message_type = "unknown"
-                try:
-                    message_type = msg.type
-                except:
-                    pass
-
-                message_text = "unknown"
-                try:
-                    message_text = msg.text
-                except:
-                    pass
-
-                entry = {
-                    "type": message_type,
-                    "text": message_text,
-                    "timestamp": time.time()
-                }
-
-                captured_console.append(entry)
-
-            except Exception as e:
-                captured_console.append({
-                    "type": "console_capture_error",
-                    "error": str(e),
-                    "timestamp": time.time()
-                })
-
-        page.on("console", handle_console_capture)
-        return handle_console_capture
-
-    async def setup_error_capture(self, page: Page, captured_console: List[Dict]) -> Optional[Callable]:
-        """Setup error capture using Playwright's event system"""
-        def handle_pageerror_capture(err):
-            try:
-                error_message = "Unknown error"
-                try:
-                    error_message = err.message
-                except:
-                    pass
-
-                error_stack = ""
-                try:
-                    error_stack = err.stack
-                except:
-                    pass
-
-                captured_console.append({
-                    "type": "error",
-                    "text": error_message,
-                    "stack": error_stack,
-                    "timestamp": time.time()
-                })
-            except Exception as e:
-                captured_console.append({
-                    "type": "pageerror_capture_error",
-                    "error": str(e),
-                    "timestamp": time.time()
-                })
-
-        page.on("pageerror", handle_pageerror_capture)
-        return handle_pageerror_capture
-
-    async def retrieve_console_messages(self, page: Page) -> List[Dict]:
-        """Not needed for Playwright - messages are captured via events"""
-        return []
-
-    async def cleanup_console_capture(self, page: Page, handle_console: Optional[Callable], handle_error: Optional[Callable]):
-        """Remove event listeners"""
-        if handle_console:
-            page.remove_listener("console", handle_console)
-        if handle_error:
-            page.remove_listener("pageerror", handle_error)
-
-    def get_imports(self) -> tuple:
-        """Return Playwright imports"""
-        from playwright.async_api import Page, Error
-        from playwright.async_api import TimeoutError as PlaywrightTimeoutError
-        return Page, Error, PlaywrightTimeoutError
-
-
 class UndetectedAdapter(BrowserAdapter):
     """Adapter for undetected browser automation with stealth features"""
     

crawl4ai/browser_manager.py

@@ -15,7 +15,6 @@ from .js_snippet import load_js_script
 from .config import DOWNLOAD_PAGE_TIMEOUT
 from .async_configs import BrowserConfig, CrawlerRunConfig
 from .utils import get_chromium_path
-import warnings
 
 
 BROWSER_DISABLE_OPTIONS = [
@@ -609,16 +608,9 @@ class BrowserManager:
         self.contexts_by_config = {}
         self._contexts_lock = asyncio.Lock()
         
-        # Serialize context.new_page() across concurrent tasks to avoid races
-        # when using a shared persistent context (context.pages may be empty
-        # for all racers). Prevents 'Target page/context closed' errors.
-        self._page_lock = asyncio.Lock()
-        
-        # Stealth adapter for stealth mode
-        self._stealth_adapter = None
-        if self.config.enable_stealth and not self.use_undetected:
-            from .browser_adapter import StealthAdapter
-            self._stealth_adapter = StealthAdapter()
+        # Stealth-related attributes
+        self._stealth_instance = None
+        self._stealth_cm = None 
 
         # Initialize ManagedBrowser if needed
         if self.config.use_managed_browser:
@@ -652,8 +644,16 @@ class BrowserManager:
         else:
             from playwright.async_api import async_playwright
 
-        # Initialize playwright
-        self.playwright = await async_playwright().start()
+        # Initialize playwright with or without stealth
+        if self.config.enable_stealth and not self.use_undetected:
+            # Import stealth only when needed
+            from playwright_stealth import Stealth
+            # Use the recommended stealth wrapper approach
+            self._stealth_instance = Stealth()
+            self._stealth_cm = self._stealth_instance.use_async(async_playwright())
+            self.playwright = await self._stealth_cm.__aenter__()
+        else:
+            self.playwright = await async_playwright().start()
 
         if self.config.cdp_url or self.config.use_managed_browser:
             self.config.use_managed_browser = True
@@ -736,18 +736,17 @@ class BrowserManager:
             )
             os.makedirs(browser_args["downloads_path"], exist_ok=True)
 
-        if self.config.proxy:
-            warnings.warn(
-                "BrowserConfig.proxy is deprecated and ignored. Use proxy_config instead.",
-                DeprecationWarning,
-            )
-        if self.config.proxy_config:
+        if self.config.proxy or self.config.proxy_config:
             from playwright.async_api import ProxySettings
 
-            proxy_settings = ProxySettings(
-                server=self.config.proxy_config.server,
-                username=self.config.proxy_config.username,
-                password=self.config.proxy_config.password,
+            proxy_settings = (
+                ProxySettings(server=self.config.proxy)
+                if self.config.proxy
+                else ProxySettings(
+                    server=self.config.proxy_config.server,
+                    username=self.config.proxy_config.username,
+                    password=self.config.proxy_config.password,
+                )
             )
             browser_args["proxy"] = proxy_settings
 
@@ -1003,19 +1002,6 @@ class BrowserManager:
         signature_hash = hashlib.sha256(signature_json.encode("utf-8")).hexdigest()
         return signature_hash
 
-    async def _apply_stealth_to_page(self, page):
-        """Apply stealth to a page if stealth mode is enabled"""
-        if self._stealth_adapter:
-            try:
-                await self._stealth_adapter.apply_stealth(page)
-            except Exception as e:
-                if self.logger:
-                    self.logger.warning(
-                        message="Failed to apply stealth to page: {error}",
-                        tag="STEALTH",
-                        params={"error": str(e)}
-                    )
-
     async def get_page(self, crawlerRunConfig: CrawlerRunConfig):
         """
         Get a page for the given session ID, creating a new one if needed.
@@ -1041,28 +1027,13 @@ class BrowserManager:
                 context = await self.create_browser_context(crawlerRunConfig)
                 ctx = self.default_context        # default context, one window only
                 ctx = await clone_runtime_state(context, ctx, crawlerRunConfig, self.config)
-                # Avoid concurrent new_page on shared persistent context
-                # See GH-1198: context.pages can be empty under races
-                async with self._page_lock:
-                    page = await ctx.new_page()
-                await self._apply_stealth_to_page(page)
+                page = await ctx.new_page()
             else:
                 context = self.default_context
                 pages = context.pages
                 page = next((p for p in pages if p.url == crawlerRunConfig.url), None)
                 if not page:
-                    if pages:
-                        page = pages[0]
-                    else:
-                        # Double-check under lock to avoid TOCTOU and ensure only
-                        # one task calls new_page when pages=[] concurrently
-                        async with self._page_lock:
-                            pages = context.pages
-                            if pages:
-                                page = pages[0]
-                            else:
-                                page = await context.new_page()
-                                await self._apply_stealth_to_page(page)
+                    page = context.pages[0] # await context.new_page()
         else:
             # Otherwise, check if we have an existing context for this config
             config_signature = self._make_config_signature(crawlerRunConfig)
@@ -1078,7 +1049,6 @@ class BrowserManager:
 
             # Create a new page from the chosen context
             page = await context.new_page()
-            await self._apply_stealth_to_page(page)
 
         # If a session_id is specified, store this session so we can reuse later
         if crawlerRunConfig.session_id:
@@ -1145,5 +1115,19 @@ class BrowserManager:
             self.managed_browser = None
 
         if self.playwright:
-            await self.playwright.stop()
+            # Handle stealth context manager cleanup if it exists
+            if hasattr(self, '_stealth_cm') and self._stealth_cm is not None:
+                try:
+                    await self._stealth_cm.__aexit__(None, None, None)
+                except Exception as e:
+                    if self.logger:
+                        self.logger.error(
+                            message="Error closing stealth context: {error}",
+                            tag="ERROR", 
+                            params={"error": str(e)}
+                        )
+                self._stealth_cm = None
+                self._stealth_instance = None
+            else:
+                await self.playwright.stop()
             self.playwright = None

crawl4ai/browser_profiler.py

@@ -65,213 +65,6 @@ class BrowserProfiler:
         self.builtin_config_file = os.path.join(self.builtin_browser_dir, "browser_config.json")
         os.makedirs(self.builtin_browser_dir, exist_ok=True)
     
-    def _is_windows(self) -> bool:
-        """Check if running on Windows platform."""
-        return sys.platform.startswith('win') or sys.platform == 'cygwin'
-    
-    def _is_macos(self) -> bool:
-        """Check if running on macOS platform."""
-        return sys.platform == 'darwin'
-    
-    def _is_linux(self) -> bool:
-        """Check if running on Linux platform."""
-        return sys.platform.startswith('linux')
-    
-    def _get_quit_message(self, tag: str) -> str:
-        """Get appropriate quit message based on context."""
-        if tag == "PROFILE":
-            return "Closing browser and saving profile..."
-        elif tag == "CDP":
-            return "Closing browser..."
-        else:
-            return "Closing browser..."
-    
-    async def _listen_windows(self, user_done_event, check_browser_process, tag: str):
-        """Windows-specific keyboard listener using msvcrt."""
-        try:
-            import msvcrt
-        except ImportError:
-            raise ImportError("msvcrt module not available on this platform")
-        
-        while True:
-            try:
-                # Check for keyboard input
-                if msvcrt.kbhit():
-                    raw = msvcrt.getch()
-                    
-                    # Handle Unicode decoding more robustly
-                    key = None
-                    try:
-                        key = raw.decode("utf-8")
-                    except UnicodeDecodeError:
-                        try:
-                            # Try different encodings
-                            key = raw.decode("latin1")
-                        except UnicodeDecodeError:
-                            # Skip if we can't decode
-                            continue
-                    
-                    # Validate key
-                    if not key or len(key) != 1:
-                        continue
-                    
-                    # Check for printable characters only
-                    if not key.isprintable():
-                        continue
-                    
-                    # Check for quit command
-                    if key.lower() == "q":
-                        self.logger.info(
-                            self._get_quit_message(tag),
-                            tag=tag,
-                            base_color=LogColor.GREEN
-                        )
-                        user_done_event.set()
-                        return
-                
-                # Check if browser process ended
-                if await check_browser_process():
-                    return
-                
-                # Small delay to prevent busy waiting
-                await asyncio.sleep(0.1)
-                
-            except Exception as e:
-                self.logger.warning(f"Error in Windows keyboard listener: {e}", tag=tag)
-                # Continue trying instead of failing completely
-                await asyncio.sleep(0.1)
-                continue
-    
-    async def _listen_unix(self, user_done_event: asyncio.Event, check_browser_process, tag: str):
-        """Unix/Linux/macOS keyboard listener using termios and select."""
-        try:
-            import termios
-            import tty
-            import select
-        except ImportError:
-            raise ImportError("termios/tty/select modules not available on this platform")
-        
-        # Get stdin file descriptor
-        try:
-            fd = sys.stdin.fileno()
-        except (AttributeError, OSError):
-            raise ImportError("stdin is not a terminal")
-        
-        # Save original terminal settings
-        old_settings = None
-        try:
-            old_settings = termios.tcgetattr(fd)
-        except termios.error as e:
-            raise ImportError(f"Cannot get terminal attributes: {e}")
-        
-        try:
-            # Switch to non-canonical mode (cbreak mode)
-            tty.setcbreak(fd)
-            
-            while True:
-                try:
-                    # Use select to check if input is available (non-blocking)
-                    # Timeout of 0.5 seconds to periodically check browser process
-                    readable, _, _ = select.select([sys.stdin], [], [], 0.5)
-                    
-                    if readable:
-                        # Read one character
-                        key = sys.stdin.read(1)
-                        
-                        if key and key.lower() == "q":
-                            self.logger.info(
-                                self._get_quit_message(tag),
-                                tag=tag,
-                                base_color=LogColor.GREEN
-                            )
-                            user_done_event.set()
-                            return
-                    
-                    # Check if browser process ended
-                    if await check_browser_process():
-                        return
-                    
-                    # Small delay to prevent busy waiting
-                    await asyncio.sleep(0.1)
-                    
-                except (KeyboardInterrupt, EOFError):
-                    # Handle Ctrl+C or EOF gracefully
-                    self.logger.info("Keyboard interrupt received", tag=tag)
-                    user_done_event.set()
-                    return
-                except Exception as e:
-                    self.logger.warning(f"Error in Unix keyboard listener: {e}", tag=tag)
-                    await asyncio.sleep(0.1)
-                    continue
-                    
-        finally:
-            # Always restore terminal settings
-            if old_settings is not None:
-                try:
-                    termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
-                except Exception as e:
-                    self.logger.error(f"Failed to restore terminal settings: {e}", tag=tag)
-    
-    async def _listen_fallback(self, user_done_event: asyncio.Event, check_browser_process, tag: str):
-        """Fallback keyboard listener using simple input() method."""
-        self.logger.info("Using fallback input mode. Type 'q' and press Enter to quit.", tag=tag)
-        
-        # Run input in a separate thread to avoid blocking
-        import threading
-        import queue
-        
-        input_queue = queue.Queue()
-        
-        def input_thread():
-            """Thread function to handle input."""
-            try:
-                while not user_done_event.is_set():
-                    try:
-                        # Use input() with a prompt
-                        user_input = input("Press 'q' + Enter to quit: ").strip().lower()
-                        input_queue.put(user_input)
-                        if user_input == 'q':
-                            break
-                    except (EOFError, KeyboardInterrupt):
-                        input_queue.put('q')
-                        break
-                    except Exception as e:
-                        self.logger.warning(f"Error in input thread: {e}", tag=tag)
-                        break
-            except Exception as e:
-                self.logger.error(f"Input thread failed: {e}", tag=tag)
-        
-        # Start input thread
-        thread = threading.Thread(target=input_thread, daemon=True)
-        thread.start()
-        
-        try:
-            while not user_done_event.is_set():
-                # Check for user input
-                try:
-                    user_input = input_queue.get_nowait()
-                    if user_input == 'q':
-                        self.logger.info(
-                            self._get_quit_message(tag),
-                            tag=tag,
-                            base_color=LogColor.GREEN
-                        )
-                        user_done_event.set()
-                        return
-                except queue.Empty:
-                    pass
-                
-                # Check if browser process ended
-                if await check_browser_process():
-                    return
-                
-                # Small delay
-                await asyncio.sleep(0.5)
-                
-        except Exception as e:
-            self.logger.error(f"Fallback listener failed: {e}", tag=tag)
-            user_done_event.set()
-    
     async def create_profile(self, 
                             profile_name: Optional[str] = None, 
                             browser_config: Optional[BrowserConfig] = None) -> Optional[str]:
@@ -387,38 +180,42 @@ class BrowserProfiler:
         
         # Run keyboard input loop in a separate task
         async def listen_for_quit_command():
-            """Cross-platform keyboard listener that waits for 'q' key press."""
+            import termios
+            import tty
+            import select
+            
             # First output the prompt
-            self.logger.info(
-                "Press {segment} when you've finished using the browser...",
-                tag="PROFILE",
-                params={"segment": "'q'"}, colors={"segment": LogColor.YELLOW},
-                base_color=LogColor.CYAN
-            )
-
-            async def check_browser_process():
-                """Check if browser process is still running."""
-                if (
-                    managed_browser.browser_process
-                    and managed_browser.browser_process.poll() is not None
-                ):
-                    self.logger.info(
-                        "Browser already closed. Ending input listener.", tag="PROFILE"
-                    )
-                    user_done_event.set()
-                    return True
-                return False
-
-            # Try platform-specific implementations with fallback
+            self.logger.info("Press 'q' when you've finished using the browser...", tag="PROFILE")
+            
+            # Save original terminal settings
+            fd = sys.stdin.fileno()
+            old_settings = termios.tcgetattr(fd)
+            
             try:
-                if self._is_windows():
-                    await self._listen_windows(user_done_event, check_browser_process, "PROFILE")
-                else:
-                    await self._listen_unix(user_done_event, check_browser_process, "PROFILE")
-            except Exception as e:
-                self.logger.warning(f"Platform-specific keyboard listener failed: {e}", tag="PROFILE")
-                self.logger.info("Falling back to simple input mode...", tag="PROFILE")
-                await self._listen_fallback(user_done_event, check_browser_process, "PROFILE")
+                # Switch to non-canonical mode (no line buffering)
+                tty.setcbreak(fd)
+                
+                while True:
+                    # Check if input is available (non-blocking)
+                    readable, _, _ = select.select([sys.stdin], [], [], 0.5)
+                    if readable:
+                        key = sys.stdin.read(1)
+                        if key.lower() == 'q':
+                            self.logger.info("Closing browser and saving profile...", tag="PROFILE", base_color=LogColor.GREEN)
+                            user_done_event.set()
+                            return
+                    
+                    # Check if the browser process has already exited
+                    if managed_browser.browser_process and managed_browser.browser_process.poll() is not None:
+                        self.logger.info("Browser already closed. Ending input listener.", tag="PROFILE")
+                        user_done_event.set()
+                        return
+                        
+                    await asyncio.sleep(0.1)
+            
+            finally:
+                # Restore terminal settings 
+                termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
         
         try:
             from playwright.async_api import async_playwright
@@ -885,33 +682,42 @@ class BrowserProfiler:
         
         # Run keyboard input loop in a separate task
         async def listen_for_quit_command():
-            """Cross-platform keyboard listener that waits for 'q' key press."""
+            import termios
+            import tty
+            import select
+            
             # First output the prompt
-            self.logger.info(
-                "Press {segment} to stop the browser and exit...",
-                tag="CDP",
-                params={"segment": "'q'"}, colors={"segment": LogColor.YELLOW},
-                base_color=LogColor.CYAN
-            )
-
-            async def check_browser_process():
-                """Check if browser process is still running."""
-                if managed_browser.browser_process and managed_browser.browser_process.poll() is not None:
-                    self.logger.info("Browser already closed. Ending input listener.", tag="CDP")
-                    user_done_event.set()
-                    return True
-                return False
-
-            # Try platform-specific implementations with fallback
+            self.logger.info("Press 'q' to stop the browser and exit...", tag="CDP")
+            
+            # Save original terminal settings
+            fd = sys.stdin.fileno()
+            old_settings = termios.tcgetattr(fd)
+            
             try:
-                if self._is_windows():
-                    await self._listen_windows(user_done_event, check_browser_process, "CDP")
-                else:
-                    await self._listen_unix(user_done_event, check_browser_process, "CDP")
-            except Exception as e:
-                self.logger.warning(f"Platform-specific keyboard listener failed: {e}", tag="CDP")
-                self.logger.info("Falling back to simple input mode...", tag="CDP")
-                await self._listen_fallback(user_done_event, check_browser_process, "CDP")
+                # Switch to non-canonical mode (no line buffering)
+                tty.setcbreak(fd)
+                
+                while True:
+                    # Check if input is available (non-blocking)
+                    readable, _, _ = select.select([sys.stdin], [], [], 0.5)
+                    if readable:
+                        key = sys.stdin.read(1)
+                        if key.lower() == 'q':
+                            self.logger.info("Closing browser...", tag="CDP")
+                            user_done_event.set()
+                            return
+                    
+                    # Check if the browser process has already exited
+                    if managed_browser.browser_process and managed_browser.browser_process.poll() is not None:
+                        self.logger.info("Browser already closed. Ending input listener.", tag="CDP")
+                        user_done_event.set()
+                        return
+                        
+                    await asyncio.sleep(0.1)
+            
+            finally:
+                # Restore terminal settings 
+                termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
                 
         # Function to retrieve and display CDP JSON config
         async def get_cdp_json(port):

crawl4ai/cli.py

@@ -2,8 +2,6 @@ import click
 import os
 import sys
 import time
-import subprocess
-import shutil
 
 import humanize
 from typing import Dict, Any, Optional, List
@@ -627,76 +625,6 @@ def cli():
     pass
 
 
-# Register server command group (Docker orchestration)
-# Redirect to standalone 'cnode' CLI
-@cli.command("server", context_settings=dict(
-    ignore_unknown_options=True,
-    allow_extra_args=True,
-    allow_interspersed_args=False
-))
-@click.pass_context
-def server_cmd(ctx):
-    """Manage Crawl4AI Docker server instances (deprecated - use 'cnode')
-
-    This command has been moved to a standalone CLI called 'cnode'.
-    For new installations, use:
-        curl -sSL https://crawl4ai.com/deploy.sh | bash
-
-    This redirect allows existing scripts to continue working.
-
-    Available commands: start, stop, status, scale, logs
-    Use 'crwl server <command> --help' for command-specific help.
-    """
-    # Check if cnode is installed
-    cnode_path = shutil.which("cnode")
-
-    # Get all the args (subcommand + options)
-    args = ctx.args
-
-    if not cnode_path:
-        console.print(Panel(
-            "[yellow]The 'crwl server' command has been moved to a standalone CLI.[/yellow]\n\n"
-            "Please install 'cnode' (Crawl4AI Node Manager):\n"
-            "[cyan]curl -sSL https://crawl4ai.com/deploy.sh | bash[/cyan]\n\n"
-            "After installation, use:\n"
-            "[green]cnode <command>[/green] instead of [dim]crwl server <command>[/dim]\n\n"
-            "For backward compatibility, we're using the local version for now.",
-            title="Server Command Moved",
-            border_style="yellow"
-        ))
-        # Try to use local version
-        try:
-            import sys
-            # Add deploy/docker to path
-            deploy_path = str(Path(__file__).parent.parent / 'deploy' / 'docker')
-            if deploy_path not in sys.path:
-                sys.path.insert(0, deploy_path)
-
-            from cnode_cli import cli as cnode_cli
-
-            # Forward to cnode with the args
-            sys.argv = ['cnode'] + args
-            cnode_cli(standalone_mode=False)
-            sys.exit(0)
-        except SystemExit as e:
-            # Normal exit from click
-            sys.exit(e.code if hasattr(e, 'code') else 0)
-        except Exception as e:
-            console.print(f"[red]Error: Could not find cnode or local server CLI: {e}[/red]")
-            console.print(f"[dim]Details: {e}[/dim]")
-            import traceback
-            console.print(f"[dim]{traceback.format_exc()}[/dim]")
-            sys.exit(1)
-
-    # cnode is installed - forward everything to it
-    try:
-        result = subprocess.run([cnode_path] + args, check=False)
-        sys.exit(result.returncode)
-    except Exception as e:
-        console.print(f"[red]Error running cnode: {e}[/red]")
-        sys.exit(1)
-
-
 @cli.group("browser")
 def browser_cmd():
     """Manage browser instances for Crawl4AI
@@ -1534,15 +1462,9 @@ def default(url: str, example: bool, browser_config: str, crawler_config: str, f
 
 def main():
     import sys
-    # Don't auto-insert 'crawl' if the command is recognized
-    if len(sys.argv) >= 2 and sys.argv[1] in cli.commands:
-        cli()
-    elif len(sys.argv) < 2:
-        cli()
-    else:
-        # Unknown command - insert 'crawl' for backward compat
+    if len(sys.argv) < 2 or sys.argv[1] not in cli.commands:
         sys.argv.insert(1, "crawl")
-        cli()
+    cli()
 
 if __name__ == "__main__":
     main()

crawl4ai/content_scraping_strategy.py

@@ -242,27 +242,13 @@ class LXMLWebScrapingStrategy(ContentScrapingStrategy):
         exclude_domains = set(kwargs.get("exclude_domains", []))
 
         # Process links
-        try:
-            base_element = element.xpath("//head/base[@href]")
-            if base_element:
-                base_href = base_element[0].get("href", "").strip()
-                if base_href:
-                    url = base_href
-        except Exception as e:
-            self._log("error", f"Error extracting base URL: {str(e)}", "SCRAPE")
-            pass
-
         for link in element.xpath(".//a[@href]"):
             href = link.get("href", "").strip()
             if not href:
                 continue
 
             try:
-                normalized_href = normalize_url(
-                    href, url,
-                    preserve_https=kwargs.get('preserve_https_for_internal_links', False),
-                    original_scheme=kwargs.get('original_scheme')
-                )
+                normalized_href = normalize_url(href, url)
                 link_data = {
                     "href": normalized_href,
                     "text": link.text_content().strip(),
@@ -590,6 +576,117 @@ class LXMLWebScrapingStrategy(ContentScrapingStrategy):
 
         return root
 
+    def is_data_table(self, table: etree.Element, **kwargs) -> bool:
+        score = 0
+        # Check for thead and tbody
+        has_thead = len(table.xpath(".//thead")) > 0
+        has_tbody = len(table.xpath(".//tbody")) > 0
+        if has_thead:
+            score += 2
+        if has_tbody:
+            score += 1
+
+        # Check for th elements
+        th_count = len(table.xpath(".//th"))
+        if th_count > 0:
+            score += 2
+            if has_thead or table.xpath(".//tr[1]/th"):
+                score += 1
+
+        # Check for nested tables
+        if len(table.xpath(".//table")) > 0:
+            score -= 3
+
+        # Role attribute check
+        role = table.get("role", "").lower()
+        if role in {"presentation", "none"}:
+            score -= 3
+
+        # Column consistency
+        rows = table.xpath(".//tr")
+        if not rows:
+            return False
+        col_counts = [len(row.xpath(".//td|.//th")) for row in rows]
+        avg_cols = sum(col_counts) / len(col_counts)
+        variance = sum((c - avg_cols)**2 for c in col_counts) / len(col_counts)
+        if variance < 1:
+            score += 2
+
+        # Caption and summary
+        if table.xpath(".//caption"):
+            score += 2
+        if table.get("summary"):
+            score += 1
+
+        # Text density
+        total_text = sum(len(''.join(cell.itertext()).strip()) for row in rows for cell in row.xpath(".//td|.//th"))
+        total_tags = sum(1 for _ in table.iterdescendants())
+        text_ratio = total_text / (total_tags + 1e-5)
+        if text_ratio > 20:
+            score += 3
+        elif text_ratio > 10:
+            score += 2
+
+        # Data attributes
+        data_attrs = sum(1 for attr in table.attrib if attr.startswith('data-'))
+        score += data_attrs * 0.5
+
+        # Size check
+        if avg_cols >= 2 and len(rows) >= 2:
+            score += 2
+
+        threshold = kwargs.get("table_score_threshold", 7)
+        return score >= threshold
+
+    def extract_table_data(self, table: etree.Element) -> dict:
+        caption = table.xpath(".//caption/text()")
+        caption = caption[0].strip() if caption else ""
+        summary = table.get("summary", "").strip()
+
+        # Extract headers with colspan handling
+        headers = []
+        thead_rows = table.xpath(".//thead/tr")
+        if thead_rows:
+            header_cells = thead_rows[0].xpath(".//th")
+            for cell in header_cells:
+                text = cell.text_content().strip()
+                colspan = int(cell.get("colspan", 1))
+                headers.extend([text] * colspan)
+        else:
+            first_row = table.xpath(".//tr[1]")
+            if first_row:
+                for cell in first_row[0].xpath(".//th|.//td"):
+                    text = cell.text_content().strip()
+                    colspan = int(cell.get("colspan", 1))
+                    headers.extend([text] * colspan)
+
+        # Extract rows with colspan handling
+        rows = []
+        for row in table.xpath(".//tr[not(ancestor::thead)]"):
+            row_data = []
+            for cell in row.xpath(".//td"):
+                text = cell.text_content().strip()
+                colspan = int(cell.get("colspan", 1))
+                row_data.extend([text] * colspan)
+            if row_data:
+                rows.append(row_data)
+
+        # Align rows with headers
+        max_columns = len(headers) if headers else (max(len(row) for row in rows) if rows else 0)
+        aligned_rows = []
+        for row in rows:
+            aligned = row[:max_columns] + [''] * (max_columns - len(row))
+            aligned_rows.append(aligned)
+
+        if not headers:
+            headers = [f"Column {i+1}" for i in range(max_columns)]
+
+        return {
+            "headers": headers,
+            "rows": aligned_rows,
+            "caption": caption,
+            "summary": summary,
+        }
 
     def _scrap(
         self,
@@ -732,16 +829,12 @@ class LXMLWebScrapingStrategy(ContentScrapingStrategy):
                 **kwargs,
             )
 
-            # Extract tables using the table extraction strategy if provided
             if 'table' not in excluded_tags:
-                table_extraction = kwargs.get('table_extraction')
-                if table_extraction:
-                    # Pass logger to the strategy if it doesn't have one
-                    if not table_extraction.logger:
-                        table_extraction.logger = self.logger
-                    # Extract tables using the strategy
-                    extracted_tables = table_extraction.extract_tables(body, **kwargs)
-                    media["tables"].extend(extracted_tables)
+                tables = body.xpath(".//table")
+                for table in tables:
+                    if self.is_data_table(table, **kwargs):
+                        table_data = self.extract_table_data(table)
+                        media["tables"].append(table_data)
 
             # Handle only_text option
             if kwargs.get("only_text", False):

crawl4ai/deep_crawling/bff_strategy.py

@@ -47,13 +47,7 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
         self.url_scorer = url_scorer
         self.include_external = include_external
         self.max_pages = max_pages
-        # self.logger = logger or logging.getLogger(__name__)
-        # Ensure logger is always a Logger instance, not a dict from serialization
-        if isinstance(logger, logging.Logger):
-            self.logger = logger
-        else:
-            # Create a new logger if logger is None, dict, or any other non-Logger type
-            self.logger = logging.getLogger(__name__)
+        self.logger = logger or logging.getLogger(__name__)
         self.stats = TraversalStats(start_time=datetime.now())
         self._cancel_event = asyncio.Event()
         self._pages_crawled = 0
@@ -86,12 +80,12 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
         source_url: str,
         current_depth: int,
         visited: Set[str],
-        next_links: List[Tuple[str, Optional[str]]],
+        next_links: List[Tuple[str, Optional[str], float]],
         depths: Dict[str, int],
     ) -> None:
         """
-        Extract links from the crawl result, validate them, and append new URLs
-        (with their parent references) to next_links.
+        Extract links from the crawl result, validate them, score them,
+        and append the highest-scoring URLs (with their parent references and scores) to next_links.
         Also updates the depths dictionary.
         """
         new_depth = current_depth + 1
@@ -109,8 +103,8 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
         if self.include_external:
             links += result.links.get("external", [])
 
-        # If we have more links than remaining capacity, limit how many we'll process
-        valid_links = []
+        # Collect and validate all links
+        valid_links_with_scores = []
         for link in links:
             url = link.get("href")
             base_url = normalize_url_for_deep_crawl(url, source_url)
@@ -119,13 +113,23 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
             if not await self.can_process_url(url, new_depth):
                 self.stats.urls_skipped += 1
                 continue
-                
-            valid_links.append(base_url)
             
-        # Record the new depths and add to next_links
-        for url in valid_links:
+            # Score the URL
+            score = self.url_scorer.score(base_url) if self.url_scorer else 0.0
+            valid_links_with_scores.append((base_url, score))
+        
+        # Sort by score descending (highest scores first)
+        valid_links_with_scores.sort(key=lambda x: x[1], reverse=True)
+        
+        # If we have more valid links than capacity, keep only the highest-scoring ones
+        if len(valid_links_with_scores) > remaining_capacity:
+            self.logger.info(f"Keeping top {remaining_capacity} highest-scoring URLs out of {len(valid_links_with_scores)} valid links")
+            valid_links_with_scores = valid_links_with_scores[:remaining_capacity]
+            
+        # Record the new depths and add to next_links with scores
+        for url, score in valid_links_with_scores:
             depths[url] = new_depth
-            next_links.append((url, source_url))
+            next_links.append((url, source_url, score))
 
     async def _arun_best_first(
         self,
@@ -136,13 +140,13 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
         """
         Core best-first crawl method using a priority queue.
         
-        The queue items are tuples of (score, depth, url, parent_url). Lower scores
-        are treated as higher priority. URLs are processed in batches for efficiency.
+        The queue items are tuples of (priority, depth, url, parent_url, original_score).
+        We use negative scores as priority to achieve max-heap behavior (higher scores = higher priority).
+        URLs are processed in batches for efficiency.
         """
         queue: asyncio.PriorityQueue = asyncio.PriorityQueue()
-        # Push the initial URL with score 0 and depth 0.
-        initial_score = self.url_scorer.score(start_url) if self.url_scorer else 0
-        await queue.put((-initial_score, 0, start_url, None))
+        # Push the initial URL with priority 0 (will be processed first) and depth 0.
+        await queue.put((0, 0, start_url, None, 0.0))
         visited: Set[str] = set()
         depths: Dict[str, int] = {start_url: 0}
 
@@ -160,17 +164,17 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
                 self.logger.info(f"Max pages limit ({self.max_pages}) reached, stopping crawl")
                 break
                 
-            batch: List[Tuple[float, int, str, Optional[str]]] = []
+            batch: List[Tuple[float, int, str, Optional[str], float]] = []
             # Retrieve up to BATCH_SIZE items from the priority queue.
-            for _ in range(BATCH_SIZE):
+            for _ in range(batch_size):
                 if queue.empty():
                     break
                 item = await queue.get()
-                score, depth, url, parent_url = item
+                priority, depth, url, parent_url, original_score = item
                 if url in visited:
                     continue
                 visited.add(url)
-                batch.append(item)
+                batch.append((priority, depth, url, parent_url, original_score))
 
             if not batch:
                 continue
@@ -185,11 +189,11 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
                 corresponding = next((item for item in batch if item[2] == result_url), None)
                 if not corresponding:
                     continue
-                score, depth, url, parent_url = corresponding
+                priority, depth, url, parent_url, original_score = corresponding
                 result.metadata = result.metadata or {}
                 result.metadata["depth"] = depth
                 result.metadata["parent_url"] = parent_url
-                result.metadata["score"] = -score
+                result.metadata["score"] = original_score
                 
                 # Count only successful crawls toward max_pages limit
                 if result.success:
@@ -204,13 +208,14 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
                 # Only discover links from successful crawls
                 if result.success:
                     # Discover new links from this result
-                    new_links: List[Tuple[str, Optional[str]]] = []
+                    new_links: List[Tuple[str, Optional[str], float]] = []
                     await self.link_discovery(result, result_url, depth, visited, new_links, depths)
                     
-                    for new_url, new_parent in new_links:
+                    for new_url, new_parent, new_score in new_links:
                         new_depth = depths.get(new_url, depth + 1)
-                        new_score = self.url_scorer.score(new_url) if self.url_scorer else 0
-                        await queue.put((-new_score, new_depth, new_url, new_parent))
+                        # Use negative score as priority for max-heap behavior
+                        priority = -new_score if new_score > 0 else 0
+                        await queue.put((priority, new_depth, new_url, new_parent, new_score))
 
         # End of crawl.
 

crawl4ai/deep_crawling/bfs_strategy.py

@@ -38,13 +38,7 @@ class BFSDeepCrawlStrategy(DeepCrawlStrategy):
         self.include_external = include_external
         self.score_threshold = score_threshold
         self.max_pages = max_pages
-        # self.logger = logger or logging.getLogger(__name__)
-        # Ensure logger is always a Logger instance, not a dict from serialization
-        if isinstance(logger, logging.Logger):
-            self.logger = logger
-        else:
-            # Create a new logger if logger is None, dict, or any other non-Logger type
-            self.logger = logging.getLogger(__name__)
+        self.logger = logger or logging.getLogger(__name__)
         self.stats = TraversalStats(start_time=datetime.now())
         self._cancel_event = asyncio.Event()
         self._pages_crawled = 0

crawl4ai/deep_crawling/filters.py

@@ -120,9 +120,6 @@ class URLPatternFilter(URLFilter):
     """Pattern filter balancing speed and completeness"""
 
     __slots__ = (
-        "patterns",  # Store original patterns for serialization
-        "use_glob",  # Store original use_glob for serialization  
-        "reverse",   # Store original reverse for serialization
         "_simple_suffixes",
         "_simple_prefixes",
         "_domain_patterns",
@@ -145,11 +142,6 @@ class URLPatternFilter(URLFilter):
         reverse: bool = False,
     ):
         super().__init__()
-        # Store original constructor params for serialization
-        self.patterns = patterns
-        self.use_glob = use_glob
-        self.reverse = reverse
-        
         self._reverse = reverse
         patterns = [patterns] if isinstance(patterns, (str, Pattern)) else patterns
 

crawl4ai/docker_client.py

@@ -1,4 +1,4 @@
-from typing import List, Optional, Union, AsyncGenerator, Dict, Any, Callable
+from typing import List, Optional, Union, AsyncGenerator, Dict, Any
 import httpx
 import json
 from urllib.parse import urljoin
@@ -7,7 +7,6 @@ import asyncio
 from .async_configs import BrowserConfig, CrawlerRunConfig
 from .models import CrawlResult
 from .async_logger import AsyncLogger, LogLevel
-from .utils import hooks_to_string
 
 
 class Crawl4aiClientError(Exception):
@@ -71,41 +70,17 @@ class Crawl4aiDockerClient:
             self.logger.error(f"Server unreachable: {str(e)}", tag="ERROR")
             raise ConnectionError(f"Cannot connect to server: {str(e)}")
 
-    def _prepare_request(
-        self,
-        urls: List[str],
-        browser_config: Optional[BrowserConfig] = None,
-        crawler_config: Optional[CrawlerRunConfig] = None,
-        hooks: Optional[Union[Dict[str, Callable], Dict[str, str]]] = None,
-        hooks_timeout: int = 30
-    ) -> Dict[str, Any]:
+    def _prepare_request(self, urls: List[str], browser_config: Optional[BrowserConfig] = None, 
+                       crawler_config: Optional[CrawlerRunConfig] = None) -> Dict[str, Any]:
         """Prepare request data from configs."""
         if self._token:
             self._http_client.headers["Authorization"] = f"Bearer {self._token}"
-
-        request_data = {
+        return {
             "urls": urls,
             "browser_config": browser_config.dump() if browser_config else {},
             "crawler_config": crawler_config.dump() if crawler_config else {}
         }
 
-        # Handle hooks if provided
-        if hooks:
-            # Check if hooks are already strings or need conversion
-            if any(callable(v) for v in hooks.values()):
-                # Convert function objects to strings
-                hooks_code = hooks_to_string(hooks)
-            else:
-                # Already in string format
-                hooks_code = hooks
-
-            request_data["hooks"] = {
-                "code": hooks_code,
-                "timeout": hooks_timeout
-            }
-
-        return request_data
-
     async def _request(self, method: str, endpoint: str, **kwargs) -> httpx.Response:
         """Make an HTTP request with error handling."""
         url = urljoin(self.base_url, endpoint)
@@ -127,42 +102,16 @@ class Crawl4aiDockerClient:
         self,
         urls: List[str],
         browser_config: Optional[BrowserConfig] = None,
-        crawler_config: Optional[CrawlerRunConfig] = None,
-        hooks: Optional[Union[Dict[str, Callable], Dict[str, str]]] = None,
-        hooks_timeout: int = 30
+        crawler_config: Optional[CrawlerRunConfig] = None
     ) -> Union[CrawlResult, List[CrawlResult], AsyncGenerator[CrawlResult, None]]:
-        """
-        Execute a crawl operation.
-
-        Args:
-            urls: List of URLs to crawl
-            browser_config: Browser configuration
-            crawler_config: Crawler configuration
-            hooks: Optional hooks - can be either:
-                   - Dict[str, Callable]: Function objects that will be converted to strings
-                   - Dict[str, str]: Already stringified hook code
-            hooks_timeout: Timeout in seconds for each hook execution (1-120)
-
-        Returns:
-            Single CrawlResult, list of results, or async generator for streaming
-
-        Example with function hooks:
-            >>> async def my_hook(page, context, **kwargs):
-            ...     await page.set_viewport_size({"width": 1920, "height": 1080})
-            ...     return page
-            >>>
-            >>> result = await client.crawl(
-            ...     ["https://example.com"],
-            ...     hooks={"on_page_context_created": my_hook}
-            ... )
-        """
+        """Execute a crawl operation."""
         await self._check_server()
-
-        data = self._prepare_request(urls, browser_config, crawler_config, hooks, hooks_timeout)
+        
+        data = self._prepare_request(urls, browser_config, crawler_config)
         is_streaming = crawler_config and crawler_config.stream
-
+        
         self.logger.info(f"Crawling {len(urls)} URLs {'(streaming)' if is_streaming else ''}", tag="CRAWL")
-
+        
         if is_streaming:
             async def stream_results() -> AsyncGenerator[CrawlResult, None]:
                 async with self._http_client.stream("POST", f"{self.base_url}/crawl/stream", json=data) as response:
@@ -179,12 +128,12 @@ class Crawl4aiDockerClient:
                             else:
                                 yield CrawlResult(**result)
             return stream_results()
-
+        
         response = await self._request("POST", "/crawl", json=data)
         result_data = response.json()
         if not result_data.get("success", False):
             raise RequestError(f"Crawl failed: {result_data.get('msg', 'Unknown error')}")
-
+        
         results = [CrawlResult(**r) for r in result_data.get("results", [])]
         self.logger.success(f"Crawl completed with {len(results)} results", tag="CRAWL")
         return results[0] if len(results) == 1 else results

crawl4ai/memory_utils.py

@@ -0,0 +1,79 @@
+import psutil
+import platform
+import subprocess
+from typing import Tuple
+
+
+def get_true_available_memory_gb() -> float:
+    """Get truly available memory including inactive pages (cross-platform)"""
+    vm = psutil.virtual_memory()
+
+    if platform.system() == 'Darwin':  # macOS
+        # On macOS, we need to include inactive memory too
+        try:
+            # Use vm_stat to get accurate values
+            result = subprocess.run(['vm_stat'], capture_output=True, text=True)
+            lines = result.stdout.split('\n')
+
+            page_size = 16384  # macOS page size
+            pages = {}
+
+            for line in lines:
+                if 'Pages free:' in line:
+                    pages['free'] = int(line.split()[-1].rstrip('.'))
+                elif 'Pages inactive:' in line:
+                    pages['inactive'] = int(line.split()[-1].rstrip('.'))
+                elif 'Pages speculative:' in line:
+                    pages['speculative'] = int(line.split()[-1].rstrip('.'))
+                elif 'Pages purgeable:' in line:
+                    pages['purgeable'] = int(line.split()[-1].rstrip('.'))
+
+            # Calculate total available (free + inactive + speculative + purgeable)
+            total_available_pages = (
+                pages.get('free', 0) + 
+                pages.get('inactive', 0) + 
+                pages.get('speculative', 0) + 
+                pages.get('purgeable', 0)
+            )
+            available_gb = (total_available_pages * page_size) / (1024**3)
+
+            return available_gb
+        except:
+            # Fallback to psutil
+            return vm.available / (1024**3)
+    else:
+        # For Windows and Linux, psutil.available is accurate
+        return vm.available / (1024**3)
+
+
+def get_true_memory_usage_percent() -> float:
+    """
+    Get memory usage percentage that accounts for platform differences.
+    
+    Returns:
+        float: Memory usage percentage (0-100)
+    """
+    vm = psutil.virtual_memory()
+    total_gb = vm.total / (1024**3)
+    available_gb = get_true_available_memory_gb()
+    
+    # Calculate used percentage based on truly available memory
+    used_percent = 100.0 * (total_gb - available_gb) / total_gb
+    
+    # Ensure it's within valid range
+    return max(0.0, min(100.0, used_percent))
+
+
+def get_memory_stats() -> Tuple[float, float, float]:
+    """
+    Get comprehensive memory statistics.
+    
+    Returns:
+        Tuple[float, float, float]: (used_percent, available_gb, total_gb)
+    """
+    vm = psutil.virtual_memory()
+    total_gb = vm.total / (1024**3)
+    available_gb = get_true_available_memory_gb()
+    used_percent = get_true_memory_usage_percent()
+    
+    return used_percent, available_gb, total_gb

crawl4ai/models.py

@@ -253,16 +253,6 @@ class CrawlResult(BaseModel):
         requirements change, this is where you would update the logic.
         """
         result = super().model_dump(*args, **kwargs)
-        
-        # Remove any property descriptors that might have been included
-        # These deprecated properties should not be in the serialized output
-        for key in ['fit_html', 'fit_markdown', 'markdown_v2']:
-            if key in result and isinstance(result[key], property):
-                # del result[key]
-                # Nasrin: I decided to convert it to string instead of removing it.
-                result[key] = str(result[key])
-        
-        # Add the markdown field properly
         if self._markdown is not None:
             result["markdown"] = self._markdown.model_dump() 
         return result

crawl4ai/server_cli.py

@@ -1,479 +0,0 @@
-"""
-Crawl4AI Server CLI Commands
-
-Provides `crwl server` command group for Docker orchestration.
-"""
-
-import click
-import anyio
-from rich.console import Console
-from rich.table import Table
-from rich.panel import Panel
-from rich.prompt import Confirm
-
-from crawl4ai.server_manager import ServerManager
-
-
-console = Console()
-
-
-@click.group("server")
-def server_cmd():
-    """Manage Crawl4AI Docker server instances
-
-    One-command deployment with automatic scaling:
-    - Single container for development (N=1)
-    - Docker Swarm for production with built-in load balancing (N>1)
-    - Docker Compose + Nginx as fallback (N>1)
-
-    Examples:
-        crwl server start                    # Single container on port 11235
-        crwl server start --replicas 3       # Auto-detect Swarm or Compose
-        crwl server start -r 5 --port 8080   # 5 replicas on custom port
-        crwl server status                   # Check current deployment
-        crwl server scale 10                 # Scale to 10 replicas
-        crwl server stop                     # Stop and cleanup
-    """
-    pass
-
-
-@server_cmd.command("start")
-@click.option(
-    "--replicas", "-r",
-    type=int,
-    default=1,
-    help="Number of container replicas (default: 1)"
-)
-@click.option(
-    "--mode",
-    type=click.Choice(["auto", "single", "swarm", "compose"]),
-    default="auto",
-    help="Deployment mode (default: auto-detect)"
-)
-@click.option(
-    "--port", "-p",
-    type=int,
-    default=11235,
-    help="External port to expose (default: 11235)"
-)
-@click.option(
-    "--env-file",
-    type=click.Path(exists=True),
-    help="Path to environment file"
-)
-@click.option(
-    "--image",
-    default="unclecode/crawl4ai:latest",
-    help="Docker image to use (default: unclecode/crawl4ai:latest)"
-)
-def start_cmd(replicas: int, mode: str, port: int, env_file: str, image: str):
-    """Start Crawl4AI server with automatic orchestration.
-
-    Deployment modes:
-    - auto: Automatically choose best mode (default)
-    - single: Single container (N=1 only)
-    - swarm: Docker Swarm with built-in load balancing
-    - compose: Docker Compose + Nginx reverse proxy
-
-    The server will:
-    1. Check if Docker is running
-    2. Validate port availability
-    3. Pull image if needed
-    4. Start container(s) with health checks
-    5. Save state for management
-
-    Examples:
-        # Development: single container
-        crwl server start
-
-        # Production: 5 replicas with Swarm
-        crwl server start --replicas 5
-
-        # Custom configuration
-        crwl server start -r 3 --port 8080 --env-file .env.prod
-    """
-    manager = ServerManager()
-
-    console.print(Panel(
-        f"[cyan]Starting Crawl4AI Server[/cyan]\n\n"
-        f"Replicas: [yellow]{replicas}[/yellow]\n"
-        f"Mode: [yellow]{mode}[/yellow]\n"
-        f"Port: [yellow]{port}[/yellow]\n"
-        f"Image: [yellow]{image}[/yellow]",
-        title="Server Start",
-        border_style="cyan"
-    ))
-
-    with console.status("[cyan]Starting server..."):
-        async def _start():
-            return await manager.start(
-                replicas=replicas,
-                mode=mode,
-                port=port,
-                env_file=env_file,
-                image=image
-            )
-        result = anyio.run(_start)
-
-    if result["success"]:
-        console.print(Panel(
-            f"[green]✓ Server started successfully![/green]\n\n"
-            f"Mode: [cyan]{result.get('state_data', {}).get('mode', mode)}[/cyan]\n"
-            f"URL: [bold]http://localhost:{port}[/bold]\n"
-            f"Health: [bold]http://localhost:{port}/health[/bold]\n"
-            f"Monitor: [bold]http://localhost:{port}/monitor[/bold]",
-            title="Server Running",
-            border_style="green"
-        ))
-    else:
-        error_msg = result.get("error", result.get("message", "Unknown error"))
-        console.print(Panel(
-            f"[red]✗ Failed to start server[/red]\n\n"
-            f"{error_msg}",
-            title="Error",
-            border_style="red"
-        ))
-
-        if "already running" in error_msg.lower():
-            console.print("\n[yellow]Hint: Use 'crwl server status' to check current deployment[/yellow]")
-            console.print("[yellow]      Use 'crwl server stop' to stop existing server[/yellow]")
-
-
-@server_cmd.command("status")
-def status_cmd():
-    """Show current server status and deployment info.
-
-    Displays:
-    - Running state (up/down)
-    - Deployment mode (single/swarm/compose)
-    - Number of replicas
-    - Port mapping
-    - Uptime
-    - Image version
-
-    Example:
-        crwl server status
-    """
-    manager = ServerManager()
-
-    async def _status():
-        return await manager.status()
-    result = anyio.run(_status)
-
-    if result["running"]:
-        table = Table(title="Crawl4AI Server Status", border_style="green")
-        table.add_column("Property", style="cyan")
-        table.add_column("Value", style="green")
-
-        table.add_row("Status", "🟢 Running")
-        table.add_row("Mode", result["mode"])
-        table.add_row("Replicas", str(result.get("replicas", 1)))
-        table.add_row("Port", str(result.get("port", 11235)))
-        table.add_row("Image", result.get("image", "unknown"))
-        table.add_row("Uptime", result.get("uptime", "unknown"))
-        table.add_row("Started", result.get("started_at", "unknown"))
-
-        console.print(table)
-        console.print(f"\n[green]✓ Server is healthy[/green]")
-        console.print(f"[dim]Access: http://localhost:{result.get('port', 11235)}[/dim]")
-    else:
-        console.print(Panel(
-            f"[yellow]No server is currently running[/yellow]\n\n"
-            f"Use 'crwl server start' to launch a server",
-            title="Server Status",
-            border_style="yellow"
-        ))
-
-
-@server_cmd.command("stop")
-@click.option(
-    "--remove-volumes",
-    is_flag=True,
-    help="Remove associated volumes (WARNING: deletes data)"
-)
-def stop_cmd(remove_volumes: bool):
-    """Stop running Crawl4AI server and cleanup resources.
-
-    This will:
-    1. Stop all running containers/services
-    2. Remove containers
-    3. Optionally remove volumes (--remove-volumes)
-    4. Clean up state files
-
-    WARNING: Use --remove-volumes with caution as it will delete
-    persistent data including Redis databases and logs.
-
-    Examples:
-        # Stop server, keep volumes
-        crwl server stop
-
-        # Stop and remove all data
-        crwl server stop --remove-volumes
-    """
-    manager = ServerManager()
-
-    # Confirm if removing volumes
-    if remove_volumes:
-        if not Confirm.ask(
-            "[red]⚠️  This will delete all server data including Redis databases. Continue?[/red]"
-        ):
-            console.print("[yellow]Cancelled[/yellow]")
-            return
-
-    with console.status("[cyan]Stopping server..."):
-        async def _stop():
-            return await manager.stop(remove_volumes=remove_volumes)
-        result = anyio.run(_stop)
-
-    if result["success"]:
-        console.print(Panel(
-            f"[green]✓ Server stopped successfully[/green]\n\n"
-            f"{result.get('message', 'All resources cleaned up')}",
-            title="Server Stopped",
-            border_style="green"
-        ))
-    else:
-        console.print(Panel(
-            f"[red]✗ Error stopping server[/red]\n\n"
-            f"{result.get('error', result.get('message', 'Unknown error'))}",
-            title="Error",
-            border_style="red"
-        ))
-
-
-@server_cmd.command("scale")
-@click.argument("replicas", type=int)
-def scale_cmd(replicas: int):
-    """Scale server to specified number of replicas.
-
-    Only works with Swarm or Compose modes. Single container
-    mode cannot be scaled (must stop and restart with --replicas).
-
-    Scaling is live and does not require downtime. The load
-    balancer will automatically distribute traffic to new replicas.
-
-    Examples:
-        # Scale up to 10 replicas
-        crwl server scale 10
-
-        # Scale down to 2 replicas
-        crwl server scale 2
-
-        # Scale to 1 (minimum)
-        crwl server scale 1
-    """
-    if replicas < 1:
-        console.print("[red]Error: Replicas must be at least 1[/red]")
-        return
-
-    manager = ServerManager()
-
-    with console.status(f"[cyan]Scaling to {replicas} replicas..."):
-        async def _scale():
-            return await manager.scale(replicas=replicas)
-        result = anyio.run(_scale)
-
-    if result["success"]:
-        console.print(Panel(
-            f"[green]✓ Scaled successfully[/green]\n\n"
-            f"New replica count: [bold]{replicas}[/bold]\n"
-            f"Mode: [cyan]{result.get('mode')}[/cyan]",
-            title="Scaling Complete",
-            border_style="green"
-        ))
-    else:
-        error_msg = result.get("error", result.get("message", "Unknown error"))
-        console.print(Panel(
-            f"[red]✗ Scaling failed[/red]\n\n"
-            f"{error_msg}",
-            title="Error",
-            border_style="red"
-        ))
-
-        if "single container" in error_msg.lower():
-            console.print("\n[yellow]Hint: For single container mode:[/yellow]")
-            console.print("[yellow]  1. crwl server stop[/yellow]")
-            console.print(f"[yellow]  2. crwl server start --replicas {replicas}[/yellow]")
-
-
-@server_cmd.command("logs")
-@click.option(
-    "--follow", "-f",
-    is_flag=True,
-    help="Follow log output (like tail -f)"
-)
-@click.option(
-    "--tail",
-    type=int,
-    default=100,
-    help="Number of lines to show (default: 100)"
-)
-def logs_cmd(follow: bool, tail: int):
-    """View server logs.
-
-    Shows logs from running containers/services. Use --follow
-    to stream logs in real-time.
-
-    Examples:
-        # Show last 100 lines
-        crwl server logs
-
-        # Show last 500 lines
-        crwl server logs --tail 500
-
-        # Follow logs in real-time
-        crwl server logs --follow
-
-        # Combine options
-        crwl server logs -f --tail 50
-    """
-    manager = ServerManager()
-
-    async def _logs():
-        return await manager.logs(follow=follow, tail=tail)
-    output = anyio.run(_logs)
-    console.print(output)
-
-
-@server_cmd.command("cleanup")
-@click.option(
-    "--force",
-    is_flag=True,
-    help="Force cleanup even if state file doesn't exist"
-)
-def cleanup_cmd(force: bool):
-    """Force cleanup of all Crawl4AI Docker resources.
-
-    Stops and removes all containers, networks, and optionally volumes.
-    Useful when server is stuck or state is corrupted.
-
-    Examples:
-        # Clean up everything
-        crwl server cleanup
-
-        # Force cleanup (ignore state file)
-        crwl server cleanup --force
-    """
-    manager = ServerManager()
-
-    console.print(Panel(
-        f"[yellow]⚠️  Cleaning up Crawl4AI Docker resources[/yellow]\n\n"
-        f"This will stop and remove:\n"
-        f"- All Crawl4AI containers\n"
-        f"- Nginx load balancer\n"
-        f"- Redis instance\n"
-        f"- Docker networks\n"
-        f"- State files",
-        title="Cleanup",
-        border_style="yellow"
-    ))
-
-    if not force and not Confirm.ask("[yellow]Continue with cleanup?[/yellow]"):
-        console.print("[yellow]Cancelled[/yellow]")
-        return
-
-    with console.status("[cyan]Cleaning up resources..."):
-        async def _cleanup():
-            return await manager.cleanup(force=force)
-        result = anyio.run(_cleanup)
-
-    if result["success"]:
-        console.print(Panel(
-            f"[green]✓ Cleanup completed successfully[/green]\n\n"
-            f"Removed: {result.get('removed', 0)} containers\n"
-            f"{result.get('message', 'All resources cleaned up')}",
-            title="Cleanup Complete",
-            border_style="green"
-        ))
-    else:
-        console.print(Panel(
-            f"[yellow]⚠️  Partial cleanup[/yellow]\n\n"
-            f"{result.get('message', 'Some resources may still exist')}",
-            title="Cleanup Status",
-            border_style="yellow"
-        ))
-
-
-@server_cmd.command("restart")
-@click.option(
-    "--replicas", "-r",
-    type=int,
-    help="New replica count (optional)"
-)
-def restart_cmd(replicas: int):
-    """Restart server (stop then start with same config).
-
-    Preserves existing configuration unless overridden with options.
-    Useful for applying image updates or recovering from errors.
-
-    Examples:
-        # Restart with same configuration
-        crwl server restart
-
-        # Restart and change replica count
-        crwl server restart --replicas 5
-    """
-    manager = ServerManager()
-
-    # Get current state
-    async def _get_status():
-        return await manager.status()
-    current = anyio.run(_get_status)
-
-    if not current["running"]:
-        console.print("[yellow]No server is running. Use 'crwl server start' instead.[/yellow]")
-        return
-
-    # Extract current config
-    current_replicas = current.get("replicas", 1)
-    current_port = current.get("port", 11235)
-    current_image = current.get("image", "unclecode/crawl4ai:latest")
-    current_mode = current.get("mode", "auto")
-
-    # Override with CLI args
-    new_replicas = replicas if replicas is not None else current_replicas
-
-    console.print(Panel(
-        f"[cyan]Restarting Crawl4AI Server[/cyan]\n\n"
-        f"Replicas: [yellow]{current_replicas}[/yellow] → [green]{new_replicas}[/green]\n"
-        f"Port: [yellow]{current_port}[/yellow]\n"
-        f"Mode: [yellow]{current_mode}[/yellow]",
-        title="Server Restart",
-        border_style="cyan"
-    ))
-
-    # Stop current
-    with console.status("[cyan]Stopping current server..."):
-        async def _stop_server():
-            return await manager.stop(remove_volumes=False)
-        stop_result = anyio.run(_stop_server)
-
-    if not stop_result["success"]:
-        console.print(f"[red]Failed to stop server: {stop_result.get('error')}[/red]")
-        return
-
-    # Start new
-    with console.status("[cyan]Starting server..."):
-        async def _start_server():
-            return await manager.start(
-                replicas=new_replicas,
-                mode="auto",
-                port=current_port,
-                image=current_image
-            )
-        start_result = anyio.run(_start_server)
-
-    if start_result["success"]:
-        console.print(Panel(
-            f"[green]✓ Server restarted successfully![/green]\n\n"
-            f"URL: [bold]http://localhost:{current_port}[/bold]",
-            title="Restart Complete",
-            border_style="green"
-        ))
-    else:
-        console.print(Panel(
-            f"[red]✗ Failed to restart server[/red]\n\n"
-            f"{start_result.get('error', 'Unknown error')}",
-            title="Error",
-            border_style="red"
-        ))

crawl4ai/templates/docker-compose.template.yml

@@ -1,52 +0,0 @@
-version: '3.8'
-
-services:
-  redis:
-    image: redis:alpine
-    command: redis-server --appendonly yes
-    volumes:
-      - redis_data:/data
-    networks:
-      - crawl4ai_net
-    restart: unless-stopped
-
-  crawl4ai:
-    image: ${IMAGE}
-    deploy:
-      replicas: ${REPLICAS}
-      resources:
-        limits:
-          memory: 4G
-    shm_size: 1g
-    environment:
-      - REDIS_HOST=redis
-      - REDIS_PORT=6379
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:11235/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 40s
-    depends_on:
-      - redis
-    networks:
-      - crawl4ai_net
-
-  nginx:
-    image: nginx:alpine
-    ports:
-      - "${PORT}:80"
-    volumes:
-      - ${NGINX_CONF}:/etc/nginx/nginx.conf:ro
-    depends_on:
-      - crawl4ai
-    networks:
-      - crawl4ai_net
-    restart: unless-stopped
-
-networks:
-  crawl4ai_net:
-    driver: bridge
-
-volumes:
-  redis_data:

crawl4ai/templates/nginx.conf.template

@@ -1,75 +0,0 @@
-events {
-    worker_connections 1024;
-}
-
-http {
-    upstream crawl4ai_backend {
-        # DNS-based load balancing to Docker Compose service
-        # Docker Compose provides DNS resolution for service name
-        server crawl4ai:11235 max_fails=3 fail_timeout=30s;
-
-        # Keep connections alive
-        keepalive 32;
-    }
-
-    # Sticky sessions for monitoring (same IP always goes to same container)
-    upstream crawl4ai_monitor {
-        ip_hash;  # Sticky sessions based on client IP
-        server crawl4ai:11235 max_fails=3 fail_timeout=30s;
-        keepalive 32;
-    }
-
-    server {
-        listen 80;
-        server_name _;
-
-        # Increase timeouts for long-running crawl operations
-        proxy_connect_timeout 300;
-        proxy_send_timeout 300;
-        proxy_read_timeout 300;
-        send_timeout 300;
-
-        # WebSocket endpoint for real-time monitoring (exact match)
-        location = /monitor/ws {
-            proxy_pass http://crawl4ai_monitor/monitor/ws;
-            proxy_http_version 1.1;
-            proxy_set_header Upgrade $http_upgrade;
-            proxy_set_header Connection "upgrade";
-            proxy_set_header Host $host;
-            proxy_set_header X-Real-IP $remote_addr;
-            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-
-            # WebSocket timeouts
-            proxy_connect_timeout 7d;
-            proxy_send_timeout 7d;
-            proxy_read_timeout 7d;
-        }
-
-        # Monitor and dashboard with sticky sessions (regex location)
-        location ~ ^/(monitor|dashboard) {
-            proxy_pass http://crawl4ai_monitor;
-            proxy_set_header Host $host;
-            proxy_set_header X-Real-IP $remote_addr;
-            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-            proxy_set_header X-Forwarded-Proto $scheme;
-        }
-
-        # HTTP endpoints (load balanced)
-        location / {
-            proxy_pass http://crawl4ai_backend;
-            proxy_set_header Host $host;
-            proxy_set_header X-Real-IP $remote_addr;
-            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-            proxy_set_header X-Forwarded-Proto $scheme;
-
-            # Support large request bodies (for batch operations)
-            client_max_body_size 10M;
-        }
-
-        # Health check endpoint (bypass load balancer)
-        location /health {
-            proxy_pass http://crawl4ai_backend/health;
-            access_log off;
-        }
-    }
-}

crawl4ai/utils.py

@@ -16,7 +16,7 @@ from .config import MIN_WORD_THRESHOLD, IMAGE_DESCRIPTION_MIN_WORD_THRESHOLD, IM
 import httpx
 from socket import gaierror
 from pathlib import Path
-from typing import Dict, Any, List, Optional, Callable, Generator, Tuple, Iterable
+from typing import Dict, Any, List, Optional, Callable
 from urllib.parse import urljoin
 import requests
 from requests.exceptions import InvalidSchema
@@ -40,14 +40,14 @@ from typing import Sequence
 
 from itertools import chain
 from collections import deque
-import psutil
+from typing import  Generator, Iterable
+
 import numpy as np
 
 from urllib.parse import (
     urljoin, urlparse, urlunparse,
     parse_qsl, urlencode, quote, unquote
 )
-import inspect
 
 
 # Monkey patch to fix wildcard handling in urllib.robotparser
@@ -1791,10 +1791,6 @@ def perform_completion_with_backoff(
         except RateLimitError as e:
             print("Rate limit error:", str(e))
 
-            if attempt == max_attempts - 1:
-                # Last attempt failed, raise the error.
-                raise
-
             # Check if we have exhausted our max attempts
             if attempt < max_attempts - 1:
                 # Calculate the delay and wait
@@ -2151,9 +2147,7 @@ def normalize_url(
     drop_query_tracking=True,
     sort_query=True,
     keep_fragment=False,
-    extra_drop_params=None,
-    preserve_https=False,
-    original_scheme=None
+    extra_drop_params=None
 ):
     """
     Extended URL normalizer
@@ -2183,17 +2177,6 @@ def normalize_url(
 
     # Resolve relative paths first
     full_url = urljoin(base_url, href.strip())
-    
-    # Preserve HTTPS if requested and original scheme was HTTPS
-    if preserve_https and original_scheme == 'https':
-        parsed_full = urlparse(full_url)
-        parsed_base = urlparse(base_url)
-        # Only preserve HTTPS for same-domain links (not protocol-relative URLs)
-        # Protocol-relative URLs (//example.com) should follow the base URL's scheme
-        if (parsed_full.scheme == 'http' and 
-            parsed_full.netloc == parsed_base.netloc and
-            not href.strip().startswith('//')):
-            full_url = full_url.replace('http://', 'https://', 1)
 
     # Parse once, edit parts, then rebuild
     parsed = urlparse(full_url)
@@ -2202,10 +2185,8 @@ def normalize_url(
     netloc = parsed.netloc.lower()
 
     # ── path ──
-    # Strip duplicate slashes and trailing "/" (except root)
-    # IMPORTANT: Don't use quote(unquote()) as it mangles + signs in URLs
-    # The path from urlparse is already properly encoded
-    path = parsed.path
+    # Strip duplicate slashes and trailing “/” (except root)
+    path = quote(unquote(parsed.path))
     if path.endswith('/') and path != '/':
         path = path.rstrip('/')
 
@@ -2245,7 +2226,7 @@ def normalize_url(
     return normalized
 
 
-def normalize_url_for_deep_crawl(href, base_url, preserve_https=False, original_scheme=None):
+def normalize_url_for_deep_crawl(href, base_url):
     """Normalize URLs to ensure consistent format"""
     from urllib.parse import urljoin, urlparse, urlunparse, parse_qs, urlencode
 
@@ -2256,17 +2237,6 @@ def normalize_url_for_deep_crawl(href, base_url, preserve_https=False, original_
     # Use urljoin to handle relative URLs
     full_url = urljoin(base_url, href.strip())
     
-    # Preserve HTTPS if requested and original scheme was HTTPS
-    if preserve_https and original_scheme == 'https':
-        parsed_full = urlparse(full_url)
-        parsed_base = urlparse(base_url)
-        # Only preserve HTTPS for same-domain links (not protocol-relative URLs)
-        # Protocol-relative URLs (//example.com) should follow the base URL's scheme
-        if (parsed_full.scheme == 'http' and 
-            parsed_full.netloc == parsed_base.netloc and
-            not href.strip().startswith('//')):
-            full_url = full_url.replace('http://', 'https://', 1)
-    
     # Parse the URL for normalization
     parsed = urlparse(full_url)
     
@@ -2304,7 +2274,7 @@ def normalize_url_for_deep_crawl(href, base_url, preserve_https=False, original_
     return normalized
 
 @lru_cache(maxsize=10000)
-def efficient_normalize_url_for_deep_crawl(href, base_url, preserve_https=False, original_scheme=None):
+def efficient_normalize_url_for_deep_crawl(href, base_url):
     """Efficient URL normalization with proper parsing"""
     from urllib.parse import urljoin
     
@@ -2314,17 +2284,6 @@ def efficient_normalize_url_for_deep_crawl(href, base_url, preserve_https=False,
     # Resolve relative URLs
     full_url = urljoin(base_url, href.strip())
     
-    # Preserve HTTPS if requested and original scheme was HTTPS
-    if preserve_https and original_scheme == 'https':
-        parsed_full = urlparse(full_url)
-        parsed_base = urlparse(base_url)
-        # Only preserve HTTPS for same-domain links (not protocol-relative URLs)
-        # Protocol-relative URLs (//example.com) should follow the base URL's scheme
-        if (parsed_full.scheme == 'http' and 
-            parsed_full.netloc == parsed_base.netloc and
-            not href.strip().startswith('//')):
-            full_url = full_url.replace('http://', 'https://', 1)
-    
     # Use proper URL parsing
     parsed = urlparse(full_url)
     
@@ -3455,127 +3414,3 @@ def cosine_distance(vec1: np.ndarray, vec2: np.ndarray) -> float:
     """Calculate cosine distance (1 - similarity) between two vectors"""
     return 1 - cosine_similarity(vec1, vec2)
 
-
-# Memory utilities
-
-def get_true_available_memory_gb() -> float:
-    """Get truly available memory including inactive pages (cross-platform)"""
-    vm = psutil.virtual_memory()
-
-    if platform.system() == 'Darwin':  # macOS
-        # On macOS, we need to include inactive memory too
-        try:
-            # Use vm_stat to get accurate values
-            result = subprocess.run(['vm_stat'], capture_output=True, text=True)
-            lines = result.stdout.split('\n')
-
-            page_size = 16384  # macOS page size
-            pages = {}
-
-            for line in lines:
-                if 'Pages free:' in line:
-                    pages['free'] = int(line.split()[-1].rstrip('.'))
-                elif 'Pages inactive:' in line:
-                    pages['inactive'] = int(line.split()[-1].rstrip('.'))
-                elif 'Pages speculative:' in line:
-                    pages['speculative'] = int(line.split()[-1].rstrip('.'))
-                elif 'Pages purgeable:' in line:
-                    pages['purgeable'] = int(line.split()[-1].rstrip('.'))
-
-            # Calculate total available (free + inactive + speculative + purgeable)
-            total_available_pages = (
-                pages.get('free', 0) + 
-                pages.get('inactive', 0) + 
-                pages.get('speculative', 0) + 
-                pages.get('purgeable', 0)
-            )
-            available_gb = (total_available_pages * page_size) / (1024**3)
-
-            return available_gb
-        except:
-            # Fallback to psutil
-            return vm.available / (1024**3)
-    else:
-        # For Windows and Linux, psutil.available is accurate
-        return vm.available / (1024**3)
-
-
-def get_true_memory_usage_percent() -> float:
-    """
-    Get memory usage percentage that accounts for platform differences.
-    
-    Returns:
-        float: Memory usage percentage (0-100)
-    """
-    vm = psutil.virtual_memory()
-    total_gb = vm.total / (1024**3)
-    available_gb = get_true_available_memory_gb()
-    
-    # Calculate used percentage based on truly available memory
-    used_percent = 100.0 * (total_gb - available_gb) / total_gb
-    
-    # Ensure it's within valid range
-    return max(0.0, min(100.0, used_percent))
-
-
-def get_memory_stats() -> Tuple[float, float, float]:
-    """
-    Get comprehensive memory statistics.
-    
-    Returns:
-        Tuple[float, float, float]: (used_percent, available_gb, total_gb)
-    """
-    vm = psutil.virtual_memory()
-    total_gb = vm.total / (1024**3)
-    available_gb = get_true_available_memory_gb()
-    used_percent = get_true_memory_usage_percent()
-    
-    return used_percent, available_gb, total_gb
-
-
-# Hook utilities for Docker API
-def hooks_to_string(hooks: Dict[str, Callable]) -> Dict[str, str]:
-    """
-    Convert hook function objects to string representations for Docker API.
-
-    This utility simplifies the process of using hooks with the Docker API by converting
-    Python function objects into the string format required by the API.
-
-    Args:
-        hooks: Dictionary mapping hook point names to Python function objects.
-               Functions should be async and follow hook signature requirements.
-
-    Returns:
-        Dictionary mapping hook point names to string representations of the functions.
-
-    Example:
-        >>> async def my_hook(page, context, **kwargs):
-        ...     await page.set_viewport_size({"width": 1920, "height": 1080})
-        ...     return page
-        >>>
-        >>> hooks_dict = {"on_page_context_created": my_hook}
-        >>> api_hooks = hooks_to_string(hooks_dict)
-        >>> # api_hooks is now ready to use with Docker API
-
-    Raises:
-        ValueError: If a hook is not callable or source cannot be extracted
-    """
-    result = {}
-
-    for hook_name, hook_func in hooks.items():
-        if not callable(hook_func):
-            raise ValueError(f"Hook '{hook_name}' must be a callable function, got {type(hook_func)}")
-
-        try:
-            # Get the source code of the function
-            source = inspect.getsource(hook_func)
-            # Remove any leading indentation to get clean source
-            source = textwrap.dedent(source)
-            result[hook_name] = source
-        except (OSError, TypeError) as e:
-            raise ValueError(
-                f"Cannot extract source code for hook '{hook_name}'. "
-                f"Make sure the function is defined in a file (not interactively). Error: {e}"
-            )
-
-    return result

deploy/docker/.llm.env.example

@@ -10,23 +10,4 @@ GEMINI_API_TOKEN=your_gemini_key_here
 # Optional: Override the default LLM provider
 # Examples: "openai/gpt-4", "anthropic/claude-3-opus", "deepseek/chat", etc.
 # If not set, uses the provider specified in config.yml (default: openai/gpt-4o-mini)
-# LLM_PROVIDER=anthropic/claude-3-opus
-
-# Optional: Global LLM temperature setting (0.0-2.0)
-# Controls randomness in responses. Lower = more focused, Higher = more creative
-# LLM_TEMPERATURE=0.7
-
-# Optional: Global custom API base URL
-# Use this to point to custom endpoints or proxy servers
-# LLM_BASE_URL=https://api.custom.com/v1
-
-# Optional: Provider-specific temperature overrides
-# These take precedence over the global LLM_TEMPERATURE
-# OPENAI_TEMPERATURE=0.5
-# ANTHROPIC_TEMPERATURE=0.3
-# GROQ_TEMPERATURE=0.8
-
-# Optional: Provider-specific base URL overrides
-# Use for provider-specific proxy endpoints
-# OPENAI_BASE_URL=https://custom-openai.company.com/v1
-# GROQ_BASE_URL=https://custom-groq.company.com/v1
+# LLM_PROVIDER=anthropic/claude-3-opus

deploy/docker/AGENT.md

@@ -1,402 +0,0 @@
-# Crawl4AI DevOps Agent Context
-
-## Service Overview
-**Crawl4AI**: Browser-based web crawling service with AI extraction. Docker deployment with horizontal scaling (1-N containers), Redis coordination, Nginx load balancing.
-
-## Architecture Quick Reference
-
-```
-Client → Nginx:11235 → [crawl4ai-1, crawl4ai-2, ...crawl4ai-N] ← Redis
-                              ↓
-                         Monitor Dashboard
-```
-
-**Components:**
-- **Nginx**: Load balancer (round-robin API, sticky monitoring)
-- **Crawl4AI containers**: FastAPI + Playwright browsers
-- **Redis**: Container discovery (heartbeats 30s), monitoring data aggregation
-- **Monitor**: Real-time dashboard at `/dashboard`
-
-## CLI Commands
-
-### Start/Stop
-```bash
-crwl server start [-r N] [--port P] [--mode auto|single|swarm|compose] [--env-file F] [--image I]
-crwl server stop [--remove-volumes]
-crwl server restart [-r N]
-```
-
-### Management
-```bash
-crwl server status        # Show mode, replicas, port, uptime
-crwl server scale N       # Live scaling (Swarm/Compose only)
-crwl server logs [-f] [--tail N]
-```
-
-**Defaults**: replicas=1, port=11235, mode=auto, image=unclecode/crawl4ai:latest
-
-## Deployment Modes
-
-| Replicas | Mode | Load Balancer | Use Case |
-|----------|------|---------------|----------|
-| N=1 | single | None | Dev/testing |
-| N>1 | swarm | Built-in | Production (if `docker swarm init` done) |
-| N>1 | compose | Nginx | Production (fallback) |
-
-**Mode Detection** (when mode=auto):
-1. If N=1 → single
-2. If N>1 & Swarm active → swarm
-3. If N>1 & Swarm inactive → compose
-
-## File Locations
-
-```
-~/.crawl4ai/server/
-├── state.json              # Current deployment state
-├── docker-compose.yml      # Generated compose file
-└── nginx.conf              # Generated nginx config
-
-/app/                       # Inside container
-├── deploy/docker/server.py
-├── deploy/docker/monitor.py
-├── deploy/docker/static/monitor/index.html
-└── crawler_pool.py         # Browser pool (PERMANENT, HOT_POOL, COLD_POOL)
-```
-
-## Monitoring & Troubleshooting
-
-### Health Checks
-```bash
-curl http://localhost:11235/health              # Service health
-curl http://localhost:11235/monitor/containers  # Container discovery
-curl http://localhost:11235/monitor/requests    # Aggregated requests
-```
-
-### Dashboard
-- URL: `http://localhost:11235/dashboard/`
-- Features: Container filtering (All/C-1/C-2/C-3), real-time WebSocket, timeline charts
-- WebSocket: `/monitor/ws` (sticky sessions)
-
-### Common Issues
-
-**No containers showing in dashboard:**
-```bash
-docker exec <redis-container> redis-cli SMEMBERS monitor:active_containers
-docker exec <redis-container> redis-cli KEYS "monitor:heartbeat:*"
-```
-Wait 30s for heartbeat registration.
-
-**Load balancing not working:**
-```bash
-docker exec <nginx-container> cat /etc/nginx/nginx.conf | grep upstream
-docker logs <nginx-container> | grep error
-```
-Check Nginx upstream has no `ip_hash` for API endpoints.
-
-**Redis connection errors:**
-```bash
-docker logs <crawl4ai-container> | grep -i redis
-docker exec <crawl4ai-container> ping redis
-```
-Verify REDIS_HOST=redis, REDIS_PORT=6379.
-
-**Containers not scaling:**
-```bash
-# Swarm
-docker service ls
-docker service ps crawl4ai
-
-# Compose
-docker compose -f ~/.crawl4ai/server/docker-compose.yml ps
-docker compose -f ~/.crawl4ai/server/docker-compose.yml up -d --scale crawl4ai=N
-```
-
-### Redis Data Structure
-```
-monitor:active_containers              # SET: {container_ids}
-monitor:heartbeat:{cid}                # STRING: {id, hostname, last_seen} TTL=60s
-monitor:{cid}:active_requests          # STRING: JSON list, TTL=5min
-monitor:{cid}:completed                # STRING: JSON list, TTL=1h
-monitor:{cid}:janitor                  # STRING: JSON list, TTL=1h
-monitor:{cid}:errors                   # STRING: JSON list, TTL=1h
-monitor:endpoint_stats                 # STRING: JSON aggregate, TTL=24h
-```
-
-## Environment Variables
-
-### Required for Multi-LLM
-```bash
-OPENAI_API_KEY=sk-...
-ANTHROPIC_API_KEY=sk-ant-...
-DEEPSEEK_API_KEY=...
-GROQ_API_KEY=...
-TOGETHER_API_KEY=...
-MISTRAL_API_KEY=...
-GEMINI_API_TOKEN=...
-```
-
-### Redis Configuration (Optional)
-```bash
-REDIS_HOST=redis                       # Default: redis
-REDIS_PORT=6379                        # Default: 6379
-REDIS_TTL_ACTIVE_REQUESTS=300          # Default: 5min
-REDIS_TTL_COMPLETED_REQUESTS=3600      # Default: 1h
-REDIS_TTL_JANITOR_EVENTS=3600          # Default: 1h
-REDIS_TTL_ERRORS=3600                  # Default: 1h
-REDIS_TTL_ENDPOINT_STATS=86400         # Default: 24h
-REDIS_TTL_HEARTBEAT=60                 # Default: 1min
-```
-
-## API Endpoints
-
-### Core API
-- `POST /crawl` - Crawl URL (load-balanced)
-- `POST /batch` - Batch crawl (load-balanced)
-- `GET /health` - Health check (load-balanced)
-
-### Monitor API (Aggregated from all containers)
-- `GET /monitor/health` - Local container health
-- `GET /monitor/containers` - All active containers
-- `GET /monitor/requests` - All requests (active + completed)
-- `GET /monitor/browsers` - Browser pool status (local only)
-- `GET /monitor/logs/janitor` - Janitor cleanup events
-- `GET /monitor/logs/errors` - Error logs
-- `GET /monitor/endpoints/stats` - Endpoint analytics
-- `WS /monitor/ws` - Real-time updates (aggregated)
-
-### Control Actions
-- `POST /monitor/actions/cleanup` - Force browser cleanup
-- `POST /monitor/actions/kill_browser` - Kill specific browser
-- `POST /monitor/actions/restart_browser` - Restart browser
-- `POST /monitor/stats/reset` - Reset endpoint counters
-
-## Docker Commands Reference
-
-### Inspection
-```bash
-# List containers
-docker ps --filter "name=crawl4ai"
-
-# Container logs
-docker logs <container-id> -f --tail 100
-
-# Redis CLI
-docker exec -it <redis-container> redis-cli
-KEYS monitor:*
-SMEMBERS monitor:active_containers
-GET monitor:<cid>:completed
-TTL monitor:heartbeat:<cid>
-
-# Nginx config
-docker exec <nginx-container> cat /etc/nginx/nginx.conf
-
-# Container stats
-docker stats --no-stream --format "table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}"
-```
-
-### Compose Operations
-```bash
-# Scale
-docker compose -f ~/.crawl4ai/server/docker-compose.yml up -d --scale crawl4ai=5
-
-# Restart service
-docker compose -f ~/.crawl4ai/server/docker-compose.yml restart crawl4ai
-
-# View services
-docker compose -f ~/.crawl4ai/server/docker-compose.yml ps
-```
-
-### Swarm Operations
-```bash
-# Initialize Swarm
-docker swarm init
-
-# Scale service
-docker service scale crawl4ai=5
-
-# Service info
-docker service ls
-docker service ps crawl4ai --no-trunc
-
-# Service logs
-docker service logs crawl4ai --tail 100 -f
-```
-
-## Performance & Scaling
-
-### Resource Recommendations
-| Containers | Memory/Container | Total Memory | Use Case |
-|------------|-----------------|--------------|----------|
-| 1 | 4GB | 4GB | Development |
-| 3 | 4GB | 12GB | Small prod |
-| 5 | 4GB | 20GB | Medium prod |
-| 10 | 4GB | 40GB | Large prod |
-
-**Expected Throughput**: ~10 req/min per container (depends on crawl complexity)
-
-### Scaling Guidelines
-- **Horizontal**: Add replicas (`crwl server scale N`)
-- **Vertical**: Adjust `--memory 8G --cpus 4` in kwargs
-- **Browser Pool**: Permanent (1) + Hot pool (adaptive) + Cold pool (cleanup by janitor)
-
-### Redis Memory Usage
-- **Per container**: ~110KB (requests + events + errors + heartbeat)
-- **10 containers**: ~1.1MB
-- **Recommendation**: 256MB Redis is sufficient for <100 containers
-
-## Security Notes
-
-### Input Validation
-All CLI inputs validated:
-- Image name: alphanumeric + `.-/:_@` only, max 256 chars
-- Port: 1-65535
-- Replicas: 1-100
-- Env file: must exist and be readable
-- Container IDs: alphanumeric + `-_` only (prevents Redis injection)
-
-### Network Security
-- Nginx forwards to internal `crawl4ai` service (Docker network)
-- Monitor endpoints have NO authentication (add MONITOR_TOKEN env for security)
-- Redis is internal-only (no external port)
-
-### Recommended Production Setup
-```bash
-# Add authentication
-export MONITOR_TOKEN="your-secret-token"
-
-# Use Redis password
-redis:
-  command: redis-server --requirepass ${REDIS_PASSWORD}
-
-# Enable rate limiting in Nginx
-limit_req_zone $binary_remote_addr zone=api:10m rate=10r/s;
-```
-
-## Common User Scenarios
-
-### Scenario 1: Fresh Deployment
-```bash
-crwl server start --replicas 3 --env-file .env
-# Wait for health check, then access http://localhost:11235/health
-```
-
-### Scenario 2: Scaling Under Load
-```bash
-crwl server scale 10
-# Live scaling, no downtime
-```
-
-### Scenario 3: Debugging Slow Requests
-```bash
-# Check dashboard
-open http://localhost:11235/dashboard/
-
-# Check container logs
-docker logs <slowest-container-id> --tail 100
-
-# Check browser pool
-curl http://localhost:11235/monitor/browsers | jq
-```
-
-### Scenario 4: Redis Connection Issues
-```bash
-# Check Redis connectivity
-docker exec <crawl4ai-container> nc -zv redis 6379
-
-# Check Redis logs
-docker logs <redis-container>
-
-# Restart containers (triggers reconnect with retry logic)
-crwl server restart
-```
-
-### Scenario 5: Container Not Appearing in Dashboard
-```bash
-# Wait 30s for heartbeat
-sleep 30
-
-# Check Redis
-docker exec <redis-container> redis-cli SMEMBERS monitor:active_containers
-
-# Check container logs for heartbeat errors
-docker logs <missing-container> | grep -i heartbeat
-```
-
-## Code Context for Advanced Debugging
-
-### Key Classes
-- `MonitorStats` (monitor.py): Tracks stats, Redis persistence, heartbeat worker
-- `ServerManager` (server_manager.py): CLI orchestration, mode detection
-- Browser pool globals: `PERMANENT`, `HOT_POOL`, `COLD_POOL`, `LOCK` (crawler_pool.py)
-
-### Critical Timeouts
-- Browser pool lock: 2s timeout (prevents deadlock)
-- WebSocket connection: 5s timeout
-- Health check: 30-60s timeout
-- Heartbeat interval: 30s, TTL: 60s
-- Redis retry: 3 attempts, backoff: 0.5s/1s/2s
-- Circuit breaker: 5 failures → 5min backoff
-
-### State Transitions
-```
-NOT_RUNNING → STARTING → HEALTHY → RUNNING
-                ↓           ↓
-            FAILED      UNHEALTHY → STOPPED
-```
-
-State file: `~/.crawl4ai/server/state.json` (atomic writes, fcntl locking)
-
-## Quick Diagnostic Commands
-
-```bash
-# Full system check
-crwl server status
-docker ps
-curl http://localhost:11235/health
-curl http://localhost:11235/monitor/containers | jq
-
-# Redis check
-docker exec <redis-container> redis-cli PING
-docker exec <redis-container> redis-cli INFO stats
-
-# Network check
-docker network ls
-docker network inspect <network-name>
-
-# Logs check
-docker logs <nginx-container> --tail 50
-docker logs <redis-container> --tail 50
-docker compose -f ~/.crawl4ai/server/docker-compose.yml logs --tail 100
-```
-
-## Agent Decision Tree
-
-**User reports slow crawling:**
-1. Check dashboard for active requests stuck → kill browser if >5min
-2. Check browser pool status → cleanup if hot/cold pool >10
-3. Check container CPU/memory → scale up if >80%
-4. Check Redis latency → restart Redis if >100ms
-
-**User reports missing containers:**
-1. Wait 30s for heartbeat
-2. Check `docker ps` vs dashboard count
-3. Check Redis SMEMBERS monitor:active_containers
-4. Check container logs for Redis connection errors
-5. Verify REDIS_HOST/PORT env vars
-
-**User reports 502/503 errors:**
-1. Check Nginx logs for upstream errors
-2. Check container health: `curl http://localhost:11235/health`
-3. Check if all containers are healthy: `docker ps`
-4. Restart Nginx: `docker restart <nginx-container>`
-
-**User wants to update image:**
-1. `crwl server stop`
-2. `docker pull unclecode/crawl4ai:latest`
-3. `crwl server start --replicas <previous-count>`
-
----
-
-**Version**: Crawl4AI v0.7.4+
-**Last Updated**: 2025-01-20
-**AI Agent Note**: All commands, file paths, and Redis keys verified against codebase. Use exact syntax shown. For user-facing responses, translate technical details to plain language.

deploy/docker/ARCHITECTURE.md

@@ -1,822 +0,0 @@
-# Crawl4AI Docker Architecture - AI Context Map
-
-**Purpose:** Dense technical reference for AI agents to understand complete system architecture.
-**Format:** Symbolic, compressed, high-information-density documentation.
-
----
-
-## System Overview
-
-```
-┌─────────────────────────────────────────────────────────────┐
-│ CRAWL4AI DOCKER ORCHESTRATION SYSTEM                        │
-├─────────────────────────────────────────────────────────────┤
-│ Modes: Single (N=1) | Swarm (N>1) | Compose+Nginx (N>1)     │
-│ Entry: cnode CLI → deploy/docker/cnode_cli.py               │
-│ Core: deploy/docker/server_manager.py                       │
-│ Server: deploy/docker/server.py (FastAPI)                   │
-│ API: deploy/docker/api.py (crawl endpoints)                 │
-│ Monitor: deploy/docker/monitor.py + monitor_routes.py       │
-└─────────────────────────────────────────────────────────────┘
-```
-
----
-
-## Directory Structure & File Map
-
-```
-deploy/
-├── docker/                          # Server runtime & orchestration
-│   ├── server.py                    # FastAPI app entry [CRITICAL]
-│   ├── api.py                       # /crawl, /screenshot, /pdf endpoints
-│   ├── server_manager.py            # Docker orchestration logic [CORE]
-│   ├── cnode_cli.py                 # CLI interface (Click-based)
-│   ├── monitor.py                   # Real-time metrics collector
-│   ├── monitor_routes.py            # /monitor dashboard routes
-│   ├── crawler_pool.py              # Browser pool management
-│   ├── hook_manager.py              # Pre/post crawl hooks
-│   ├── job.py                       # Job queue schema
-│   ├── utils.py                     # Helpers (port check, health)
-│   ├── auth.py                      # API key authentication
-│   ├── schemas.py                   # Pydantic models
-│   ├── mcp_bridge.py                # MCP protocol bridge
-│   ├── supervisord.conf             # Process manager config
-│   ├── config.yml                   # Server config template
-│   ├── requirements.txt             # Python deps
-│   ├── static/                      # Web assets
-│   │   ├── monitor/                 # Dashboard UI
-│   │   └── playground/              # API playground
-│   └── tests/                       # Test suite
-│
-└── installer/                       # User-facing installation
-    ├── cnode_pkg/                   # Standalone package
-    │   ├── cli.py                   # Copy of cnode_cli.py
-    │   ├── server_manager.py        # Copy of server_manager.py
-    │   └── requirements.txt         # click, rich, anyio, pyyaml
-    ├── install-cnode.sh             # Remote installer (git sparse-checkout)
-    ├── sync-cnode.sh                # Dev tool (source→pkg sync)
-    ├── USER_GUIDE.md                # Human-readable guide
-    ├── README.md                    # Developer documentation
-    └── QUICKSTART.md                # Cheat sheet
-```
-
----
-
-## Core Components Deep Dive
-
-### 1. `server_manager.py` - Orchestration Engine
-
-**Role:** Manages Docker container lifecycle, auto-detects deployment mode.
-
-**Key Classes:**
-- `ServerManager` - Main orchestrator
-  - `start(replicas, mode, port, env_file, image)` → Deploy server
-  - `stop(remove_volumes)` → Teardown
-  - `status()` → Health check
-  - `scale(replicas)` → Live scaling
-  - `logs(follow, tail)` → Stream logs
-  - `cleanup(force)` → Emergency cleanup
-
-**State Management:**
-- File: `~/.crawl4ai/server_state.yml`
-- Schema: `{mode, replicas, port, image, started_at, containers[]}`
-- Atomic writes with lock file
-
-**Deployment Modes:**
-```python
-if replicas == 1:
-    mode = "single"  # docker run
-elif swarm_available():
-    mode = "swarm"   # docker stack deploy
-else:
-    mode = "compose" # docker-compose + nginx
-```
-
-**Container Naming:**
-- Single: `crawl4ai-server`
-- Swarm: `crawl4ai-stack_crawl4ai`
-- Compose: `crawl4ai-server-{1..N}`, `crawl4ai-nginx`
-
-**Networks:**
-- `crawl4ai-network` (bridge mode for all)
-
-**Volumes:**
-- `crawl4ai-redis-data` - Persistent queue
-- `crawl4ai-profiles` - Browser profiles
-
-**Health Checks:**
-- Endpoint: `http://localhost:{port}/health`
-- Timeout: 30s startup
-- Retry: 3 attempts
-
----
-
-### 2. `server.py` - FastAPI Application
-
-**Role:** HTTP server exposing crawl API + monitoring.
-
-**Startup Flow:**
-```python
-app = FastAPI()
-@app.on_event("startup")
-async def startup():
-    init_crawler_pool()      # Pre-warm browsers
-    init_redis_connection()  # Job queue
-    start_monitor_collector() # Metrics
-```
-
-**Key Endpoints:**
-```
-POST /crawl          → api.py:crawl_endpoint()
-POST /crawl/stream   → api.py:crawl_stream_endpoint()
-POST /screenshot     → api.py:screenshot_endpoint()
-POST /pdf            → api.py:pdf_endpoint()
-GET  /health         → server.py:health_check()
-GET  /monitor        → monitor_routes.py:dashboard()
-WS   /monitor/ws     → monitor_routes.py:websocket_endpoint()
-GET  /playground     → static/playground/index.html
-```
-
-**Process Manager:**
-- Uses `supervisord` to manage:
-  - FastAPI server (port 11235)
-  - Redis (port 6379)
-  - Background workers
-
-**Environment:**
-```bash
-CRAWL4AI_PORT=11235
-REDIS_URL=redis://localhost:6379
-MAX_CONCURRENT_CRAWLS=5
-BROWSER_POOL_SIZE=3
-```
-
----
-
-### 3. `api.py` - Crawl Endpoints
-
-**Main Endpoint:** `POST /crawl`
-
-**Request Schema:**
-```json
-{
-  "urls": ["https://example.com"],
-  "priority": 10,
-  "browser_config": {
-    "type": "BrowserConfig",
-    "params": {"headless": true, "viewport_width": 1920}
-  },
-  "crawler_config": {
-    "type": "CrawlerRunConfig",
-    "params": {"cache_mode": "bypass", "extraction_strategy": {...}}
-  }
-}
-```
-
-**Processing Flow:**
-```
-1. Validate request (Pydantic)
-2. Queue job → Redis
-3. Get browser from pool → crawler_pool.py
-4. Execute crawl → AsyncWebCrawler
-5. Apply hooks → hook_manager.py
-6. Return result (JSON)
-7. Release browser to pool
-```
-
-**Memory Management:**
-- Browser pool: Max 3 instances
-- LRU eviction when pool full
-- Explicit cleanup: `browser.close()` in finally block
-- Redis TTL: 1 hour for completed jobs
-
-**Error Handling:**
-```python
-try:
-    result = await crawler.arun(url, config)
-except PlaywrightError as e:
-    # Browser crash - release & recreate
-    await pool.invalidate(browser_id)
-except TimeoutError as e:
-    # Timeout - kill & retry
-    await crawler.kill()
-except Exception as e:
-    # Unknown - log & fail gracefully
-    logger.error(f"Crawl failed: {e}")
-```
-
----
-
-### 4. `crawler_pool.py` - Browser Pool Manager
-
-**Role:** Manage persistent browser instances to avoid startup overhead.
-
-**Class:** `CrawlerPool`
-- `get_crawler()` → Lease browser (async with context manager)
-- `release_crawler(id)` → Return to pool
-- `warm_up(count)` → Pre-launch browsers
-- `cleanup()` → Close all browsers
-
-**Pool Strategy:**
-```python
-pool = {
-    "browser_1": {"crawler": AsyncWebCrawler(), "in_use": False},
-    "browser_2": {"crawler": AsyncWebCrawler(), "in_use": False},
-    "browser_3": {"crawler": AsyncWebCrawler(), "in_use": False},
-}
-
-async with pool.get_crawler() as crawler:
-    result = await crawler.arun(url)
-    # Auto-released on context exit
-```
-
-**Anti-Leak Mechanisms:**
-1. Context managers enforce cleanup
-2. Watchdog thread kills stale browsers (>10min idle)
-3. Max lifetime: 1 hour per browser
-4. Force GC after browser close
-
----
-
-### 5. `monitor.py` + `monitor_routes.py` - Real-time Dashboard
-
-**Architecture:**
-```
-[Browser] <--WebSocket--> [monitor_routes.py] <--Events--> [monitor.py]
-                              ↓
-                          [Redis Pub/Sub]
-                              ↓
-                       [Metrics Collector]
-```
-
-**Metrics Collected:**
-- Requests/sec (sliding window)
-- Active crawls (real-time count)
-- Response times (p50, p95, p99)
-- Error rate (5min rolling)
-- Memory usage (RSS, heap)
-- Browser pool utilization
-
-**WebSocket Protocol:**
-```json
-// Server → Client
-{
-  "type": "metrics",
-  "data": {
-    "rps": 45.3,
-    "active_crawls": 12,
-    "p95_latency": 1234,
-    "error_rate": 0.02
-  }
-}
-
-// Client → Server
-{
-  "type": "subscribe",
-  "channels": ["metrics", "logs"]
-}
-```
-
-**Dashboard Route:** `/monitor`
-- Real-time graphs (Chart.js)
-- Request log stream
-- Container health status
-- Resource utilization
-
----
-
-### 6. `cnode_cli.py` - CLI Interface
-
-**Framework:** Click (Python CLI framework)
-
-**Command Structure:**
-```
-cnode
-├── start [--replicas N] [--port P] [--mode M] [--image I]
-├── stop [--remove-volumes]
-├── status
-├── scale N
-├── logs [--follow] [--tail N]
-├── restart [--replicas N]
-└── cleanup [--force]
-```
-
-**Execution Flow:**
-```python
-@cli.command("start")
-def start_cmd(replicas, mode, port, env_file, image):
-    manager = ServerManager()
-    result = anyio.run(manager.start(...))  # Async bridge
-    if result["success"]:
-        console.print(success_panel)
-```
-
-**User Feedback:**
-- Rich library for colors/tables
-- Progress spinners during operations
-- Error messages with hints
-- Status tables with health indicators
-
-**State Persistence:**
-- Saves deployment config to `~/.crawl4ai/server_state.yml`
-- Enables stateless commands (status, scale, restart)
-
----
-
-### 7. Docker Orchestration Details
-
-**Single Container Mode (N=1):**
-```bash
-docker run -d \
-  --name crawl4ai-server \
-  --network crawl4ai-network \
-  -p 11235:11235 \
-  -v crawl4ai-redis-data:/data \
-  unclecode/crawl4ai:latest
-```
-
-**Docker Swarm Mode (N>1, Swarm available):**
-```yaml
-# docker-compose.swarm.yml
-version: '3.8'
-services:
-  crawl4ai:
-    image: unclecode/crawl4ai:latest
-    deploy:
-      replicas: 5
-      update_config:
-        parallelism: 2
-        delay: 10s
-      restart_policy:
-        condition: on-failure
-    ports:
-      - "11235:11235"
-    networks:
-      - crawl4ai-network
-```
-
-Deploy: `docker stack deploy -c docker-compose.swarm.yml crawl4ai-stack`
-
-**Docker Compose + Nginx Mode (N>1, fallback):**
-```yaml
-# docker-compose.yml
-services:
-  crawl4ai-1:
-    image: unclecode/crawl4ai:latest
-    networks: [crawl4ai-network]
-
-  crawl4ai-2:
-    image: unclecode/crawl4ai:latest
-    networks: [crawl4ai-network]
-
-  nginx:
-    image: nginx:alpine
-    ports: ["11235:80"]
-    volumes:
-      - ./nginx.conf:/etc/nginx/nginx.conf
-    networks: [crawl4ai-network]
-```
-
-Nginx config (round-robin load balancing):
-```nginx
-upstream crawl4ai_backend {
-    server crawl4ai-1:11235;
-    server crawl4ai-2:11235;
-    server crawl4ai-3:11235;
-}
-
-server {
-    listen 80;
-    location / {
-        proxy_pass http://crawl4ai_backend;
-        proxy_set_header Host $host;
-    }
-}
-```
-
----
-
-## Memory Leak Prevention Strategy
-
-### Problem Areas & Solutions
-
-**1. Browser Instances**
-```python
-# ❌ BAD - Leak risk
-crawler = AsyncWebCrawler()
-result = await crawler.arun(url)
-# Browser never closed!
-
-# ✅ GOOD - Guaranteed cleanup
-async with AsyncWebCrawler() as crawler:
-    result = await crawler.arun(url)
-    # Auto-closed on exit
-```
-
-**2. WebSocket Connections**
-```python
-# monitor_routes.py
-active_connections = set()
-
-@app.websocket("/monitor/ws")
-async def websocket_endpoint(websocket):
-    await websocket.accept()
-    active_connections.add(websocket)
-    try:
-        while True:
-            await websocket.send_json(get_metrics())
-    finally:
-        active_connections.remove(websocket)  # Critical!
-```
-
-**3. Redis Connections**
-```python
-# Use connection pooling
-redis_pool = aioredis.ConnectionPool(
-    host="localhost",
-    port=6379,
-    max_connections=10,
-    decode_responses=True
-)
-
-# Reuse connections
-async def get_job(job_id):
-    async with redis_pool.get_connection() as conn:
-        data = await conn.get(f"job:{job_id}")
-    # Connection auto-returned to pool
-```
-
-**4. Async Task Cleanup**
-```python
-# Track background tasks
-background_tasks = set()
-
-async def crawl_task(url):
-    try:
-        result = await crawl(url)
-    finally:
-        background_tasks.discard(asyncio.current_task())
-
-# On shutdown
-async def shutdown():
-    tasks = list(background_tasks)
-    for task in tasks:
-        task.cancel()
-    await asyncio.gather(*tasks, return_exceptions=True)
-```
-
-**5. File Descriptor Leaks**
-```python
-# Use context managers for files
-async def save_screenshot(url):
-    async with aiofiles.open(f"{job_id}.png", "wb") as f:
-        await f.write(screenshot_bytes)
-    # File auto-closed
-```
-
----
-
-## Installation & Distribution
-
-### User Installation Flow
-
-**Script:** `deploy/installer/install-cnode.sh`
-
-**Steps:**
-1. Check Python 3.8+ exists
-2. Check pip available
-3. Check Docker installed (warn if missing)
-4. Create temp dir: `mktemp -d`
-5. Git sparse-checkout:
-   ```bash
-   git init
-   git remote add origin https://github.com/unclecode/crawl4ai.git
-   git config core.sparseCheckout true
-   echo "deploy/installer/cnode_pkg/*" > .git/info/sparse-checkout
-   git pull --depth=1 origin main
-   ```
-6. Install deps: `pip install click rich anyio pyyaml`
-7. Copy package: `cnode_pkg/ → /usr/local/lib/cnode/`
-8. Create wrapper: `/usr/local/bin/cnode`
-   ```bash
-   #!/usr/bin/env bash
-   export PYTHONPATH="/usr/local/lib/cnode:$PYTHONPATH"
-   exec python3 -m cnode_pkg.cli "$@"
-   ```
-9. Cleanup temp dir
-
-**Result:**
-- Binary-like experience (fast startup: ~0.1s)
-- No need for PyInstaller (49x faster)
-- Platform-independent (any OS with Python)
-
----
-
-## Development Workflow
-
-### Source Code Sync (Auto)
-
-**Git Hook:** `.githooks/pre-commit`
-
-**Trigger:** When committing `deploy/docker/cnode_cli.py` or `server_manager.py`
-
-**Action:**
-```bash
-1. Diff source vs package
-2. If different:
-   - Run sync-cnode.sh
-   - Copy cnode_cli.py → cnode_pkg/cli.py
-   - Fix imports: s/deploy.docker/cnode_pkg/g
-   - Copy server_manager.py → cnode_pkg/
-   - Stage synced files
-3. Continue commit
-```
-
-**Setup:** `./setup-hooks.sh` (configures `git config core.hooksPath .githooks`)
-
-**Smart Behavior:**
-- Silent when no sync needed
-- Only syncs if content differs
-- Minimal output: `✓ cnode synced`
-
----
-
-## API Request/Response Flow
-
-### Example: POST /crawl
-
-**Request:**
-```bash
-curl -X POST http://localhost:11235/crawl \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"],
-    "browser_config": {
-      "type": "BrowserConfig",
-      "params": {"headless": true}
-    },
-    "crawler_config": {
-      "type": "CrawlerRunConfig",
-      "params": {"cache_mode": "bypass"}
-    }
-  }'
-```
-
-**Processing:**
-```
-1. FastAPI receives request → api.py:crawl_endpoint()
-2. Validate schema → Pydantic models in schemas.py
-3. Create job → job.py:Job(id=uuid4(), urls=[...])
-4. Queue to Redis → LPUSH crawl_queue {job_json}
-5. Get browser from pool → crawler_pool.py:get_crawler()
-6. Execute crawl:
-   a. Launch page → browser.new_page()
-   b. Navigate → page.goto(url)
-   c. Extract → extraction_strategy.extract()
-   d. Generate markdown → markdown_generator.generate()
-7. Store result → Redis SETEX result:{job_id} 3600 {result_json}
-8. Release browser → pool.release(browser_id)
-9. Return response:
-   {
-     "success": true,
-     "result": {
-       "url": "https://example.com",
-       "markdown": "# Example Domain...",
-       "metadata": {"title": "Example Domain"},
-       "extracted_content": {...}
-     }
-   }
-```
-
-**Error Cases:**
-- 400: Invalid request schema
-- 429: Rate limit exceeded
-- 500: Internal error (browser crash, timeout)
-- 503: Service unavailable (all browsers busy)
-
----
-
-## Scaling Behavior
-
-### Scale-Up (1 → 10 replicas)
-
-**Command:** `cnode scale 10`
-
-**Swarm Mode:**
-```bash
-docker service scale crawl4ai-stack_crawl4ai=10
-# Docker handles:
-# - Container creation
-# - Network attachment
-# - Load balancer update
-# - Rolling deployment
-```
-
-**Compose Mode:**
-```bash
-# Update docker-compose.yml
-# Change replica count in all service definitions
-docker-compose up -d --scale crawl4ai=10
-# Regenerate nginx.conf with 10 upstreams
-docker exec nginx nginx -s reload
-```
-
-**Load Distribution:**
-- Swarm: Built-in ingress network (VIP-based round-robin)
-- Compose: Nginx upstream (round-robin, can configure least_conn)
-
-**Zero-Downtime:**
-- Swarm: Yes (rolling update, parallelism=2)
-- Compose: Partial (nginx reload is graceful, but brief spike)
-
----
-
-## Configuration Files
-
-### `config.yml` - Server Configuration
-
-```yaml
-server:
-  port: 11235
-  host: "0.0.0.0"
-  workers: 4
-
-crawler:
-  max_concurrent: 5
-  timeout: 30
-  retries: 3
-
-browser:
-  pool_size: 3
-  headless: true
-  args:
-    - "--no-sandbox"
-    - "--disable-dev-shm-usage"
-
-redis:
-  host: "localhost"
-  port: 6379
-  db: 0
-
-monitoring:
-  enabled: true
-  metrics_interval: 5  # seconds
-```
-
-### `supervisord.conf` - Process Management
-
-```ini
-[supervisord]
-nodaemon=true
-
-[program:redis]
-command=redis-server --port 6379
-autorestart=true
-
-[program:fastapi]
-command=uvicorn server:app --host 0.0.0.0 --port 11235
-autorestart=true
-stdout_logfile=/var/log/crawl4ai/api.log
-
-[program:monitor]
-command=python monitor.py
-autorestart=true
-```
-
----
-
-## Testing & Quality
-
-### Test Structure
-
-```
-deploy/docker/tests/
-├── cli/                    # CLI command tests
-│   └── test_commands.py    # start, stop, scale, status
-├── monitor/                # Dashboard tests
-│   └── test_websocket.py   # WS connection, metrics
-└── codebase_test/          # Integration tests
-    └── test_api.py         # End-to-end crawl tests
-```
-
-### Key Test Cases
-
-**CLI Tests:**
-- `test_start_single()` - Starts 1 replica
-- `test_start_cluster()` - Starts N replicas
-- `test_scale_up()` - Scales 1→5
-- `test_scale_down()` - Scales 5→2
-- `test_status()` - Reports correct state
-- `test_logs()` - Streams logs
-
-**API Tests:**
-- `test_crawl_success()` - Basic crawl works
-- `test_crawl_timeout()` - Handles slow sites
-- `test_concurrent_crawls()` - Parallel requests
-- `test_browser_pool()` - Reuses browsers
-- `test_memory_cleanup()` - No leaks after 100 crawls
-
-**Monitor Tests:**
-- `test_websocket_connect()` - WS handshake
-- `test_metrics_stream()` - Receives updates
-- `test_multiple_clients()` - Handles N connections
-
----
-
-## Critical File Cross-Reference
-
-| Component | Primary File | Dependencies |
-|-----------|--------------|--------------|
-| **CLI Entry** | `cnode_cli.py:482` | `server_manager.py`, `click`, `rich` |
-| **Orchestrator** | `server_manager.py:45` | `docker`, `yaml`, `anyio` |
-| **API Server** | `server.py:120` | `api.py`, `monitor_routes.py` |
-| **Crawl Logic** | `api.py:78` | `crawler_pool.py`, `AsyncWebCrawler` |
-| **Browser Pool** | `crawler_pool.py:23` | `AsyncWebCrawler`, `asyncio` |
-| **Monitoring** | `monitor.py:156` | `redis`, `psutil` |
-| **Dashboard** | `monitor_routes.py:89` | `monitor.py`, `websockets` |
-| **Hooks** | `hook_manager.py:12` | `api.py`, custom user hooks |
-
-**Startup Chain:**
-```
-cnode start
-  └→ cnode_cli.py:start_cmd()
-      └→ server_manager.py:start()
-          └→ docker run/stack/compose
-              └→ supervisord
-                  ├→ redis-server
-                  ├→ server.py
-                  │   └→ api.py (routes)
-                  │   └→ crawler_pool.py (init)
-                  └→ monitor.py (collector)
-```
-
----
-
-## Symbolic Notation Summary
-
-```
-⊕ Addition/Creation      ⊖ Removal/Cleanup
-⊗ Multiplication/Scale   ⊘ Division/Split
-→ Flow/Dependency        ← Reverse flow
-⇄ Bidirectional          ⇵ Up/Down scale
-✓ Success/Complete       ✗ Failure/Error
-⚠ Warning                ⚡ Performance critical
-🔒 Lock/Exclusive        🔓 Unlock/Shared
-📊 Metrics               📝 Logs
-🌐 Network               💾 Storage
-🧠 Memory                🐳 Docker
-```
-
-**State Machine:**
-```
-[STOPPED] →start→ [STARTING] →ready→ [RUNNING]
-[RUNNING] →scale→ [SCALING] →done→ [RUNNING]
-[RUNNING] →stop→ [STOPPING] →done→ [STOPPED]
-[ANY] →error→ [ERROR] →cleanup→ [STOPPED]
-```
-
----
-
-## Quick Reference Commands
-
-```bash
-# Install
-curl -sSL https://raw.githubusercontent.com/unclecode/crawl4ai/main/deploy/installer/install-cnode.sh | bash
-
-# Deploy
-cnode start --replicas 5 --port 11235
-
-# Monitor
-open http://localhost:11235/monitor
-
-# Scale
-cnode scale 10
-
-# Test
-curl -X POST http://localhost:11235/crawl -H "Content-Type: application/json" -d '{"urls":["https://example.com"]}'
-
-# Logs
-cnode logs -f
-
-# Teardown
-cnode stop --remove-volumes
-```
-
----
-
-## Future AI Agent Instructions
-
-**When debugging:** Read this file first, then check specific source files mentioned.
-
-**When extending:** Follow existing patterns (context managers, async/await, type hints).
-
-**When optimizing:** Profile first (monitor.py metrics), then optimize hot paths (crawler_pool.py, api.py).
-
-**When troubleshooting memory:** Check browser pool cleanup, WebSocket connection tracking, Redis connection pooling.
-
-**When scaling issues:** Verify Docker mode (swarm vs compose), check nginx config if compose, review load balancer logs.
-
----
-
-**END OF ARCHITECTURE MAP**
-*Version: 1.0.0 | Last Updated: 2025-10-21 | Token-Optimized for AI Consumption*

deploy/docker/README.md

@@ -12,7 +12,6 @@
   - [Python SDK](#python-sdk)
   - [Understanding Request Schema](#understanding-request-schema)
   - [REST API Examples](#rest-api-examples)
-  - [Asynchronous Jobs with Webhooks](#asynchronous-jobs-with-webhooks)
 - [Additional API Endpoints](#additional-api-endpoints)
   - [HTML Extraction Endpoint](#html-extraction-endpoint)
   - [Screenshot Endpoint](#screenshot-endpoint)
@@ -59,13 +58,15 @@ Pull and run images directly from Docker Hub without building locally.
 
 #### 1. Pull the Image
 
-Our latest stable release is `0.7.6`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
+Our latest release candidate is `0.7.0-r1`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
+
+> ⚠️ **Important Note**: The `latest` tag currently points to the stable `0.6.0` version. After testing and validation, `0.7.0` (without -r1) will be released and `latest` will be updated. For now, please use `0.7.0-r1` to test the new features.
 
 ```bash
-# Pull the latest stable version (0.7.6)
-docker pull unclecode/crawl4ai:0.7.6
+# Pull the release candidate (for testing new features)
+docker pull unclecode/crawl4ai:0.7.0-r1
 
-# Or use the latest tag (points to 0.7.6)
+# Or pull the current stable version (0.6.0)
 docker pull unclecode/crawl4ai:latest
 ```
 
@@ -100,7 +101,7 @@ EOL
       -p 11235:11235 \
       --name crawl4ai \
       --shm-size=1g \
-      unclecode/crawl4ai:0.7.6
+      unclecode/crawl4ai:0.7.0-r1
     ```
 
 *   **With LLM support:**
@@ -111,7 +112,7 @@ EOL
       --name crawl4ai \
       --env-file .llm.env \
       --shm-size=1g \
-      unclecode/crawl4ai:0.7.6
+      unclecode/crawl4ai:0.7.0-r1
     ```
 
 > The server will be available at `http://localhost:11235`. Visit `/playground` to access the interactive testing interface.
@@ -184,7 +185,7 @@ The `docker-compose.yml` file in the project root provides a simplified approach
     ```bash
     # Pulls and runs the release candidate from Docker Hub
     # Automatically selects the correct architecture
-    IMAGE=unclecode/crawl4ai:0.7.6 docker compose up -d
+    IMAGE=unclecode/crawl4ai:0.7.0-r1 docker compose up -d
     ```
 
 *   **Build and Run Locally:**
@@ -647,194 +648,6 @@ async def test_stream_crawl(token: str = None): # Made token optional
 # asyncio.run(test_stream_crawl())
 ```
 
-### Asynchronous Jobs with Webhooks
-
-For long-running crawls or when you want to avoid keeping connections open, use the job queue endpoints. Instead of polling for results, configure a webhook to receive notifications when jobs complete.
-
-#### Why Use Jobs & Webhooks?
-
-- **No Polling Required** - Get notified when crawls complete instead of constantly checking status
-- **Better Resource Usage** - Free up client connections while jobs run in the background
-- **Scalable Architecture** - Ideal for high-volume crawling with TypeScript/Node.js clients or microservices
-- **Reliable Delivery** - Automatic retry with exponential backoff (5 attempts: 1s → 2s → 4s → 8s → 16s)
-
-#### How It Works
-
-1. **Submit Job** → POST to `/crawl/job` with optional `webhook_config`
-2. **Get Task ID** → Receive a `task_id` immediately
-3. **Job Runs** → Crawl executes in the background
-4. **Webhook Fired** → Server POSTs completion notification to your webhook URL
-5. **Fetch Results** → If data wasn't included in webhook, GET `/crawl/job/{task_id}`
-
-#### Quick Example
-
-```bash
-# Submit a crawl job with webhook notification
-curl -X POST http://localhost:11235/crawl/job \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"],
-    "webhook_config": {
-      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
-      "webhook_data_in_payload": false
-    }
-  }'
-
-# Response: {"task_id": "crawl_a1b2c3d4"}
-```
-
-**Your webhook receives:**
-```json
-{
-  "task_id": "crawl_a1b2c3d4",
-  "task_type": "crawl",
-  "status": "completed",
-  "timestamp": "2025-10-21T10:30:00.000000+00:00",
-  "urls": ["https://example.com"]
-}
-```
-
-Then fetch the results:
-```bash
-curl http://localhost:11235/crawl/job/crawl_a1b2c3d4
-```
-
-#### Include Data in Webhook
-
-Set `webhook_data_in_payload: true` to receive the full crawl results directly in the webhook:
-
-```bash
-curl -X POST http://localhost:11235/crawl/job \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"],
-    "webhook_config": {
-      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
-      "webhook_data_in_payload": true
-    }
-  }'
-```
-
-**Your webhook receives the complete data:**
-```json
-{
-  "task_id": "crawl_a1b2c3d4",
-  "task_type": "crawl",
-  "status": "completed",
-  "timestamp": "2025-10-21T10:30:00.000000+00:00",
-  "urls": ["https://example.com"],
-  "data": {
-    "markdown": "...",
-    "html": "...",
-    "links": {...},
-    "metadata": {...}
-  }
-}
-```
-
-#### Webhook Authentication
-
-Add custom headers for authentication:
-
-```json
-{
-  "urls": ["https://example.com"],
-  "webhook_config": {
-    "webhook_url": "https://myapp.com/webhooks/crawl",
-    "webhook_data_in_payload": false,
-    "webhook_headers": {
-      "X-Webhook-Secret": "your-secret-token",
-      "X-Service-ID": "crawl4ai-prod"
-    }
-  }
-}
-```
-
-#### Global Default Webhook
-
-Configure a default webhook URL in `config.yml` for all jobs:
-
-```yaml
-webhooks:
-  enabled: true
-  default_url: "https://myapp.com/webhooks/default"
-  data_in_payload: false
-  retry:
-    max_attempts: 5
-    initial_delay_ms: 1000
-    max_delay_ms: 32000
-    timeout_ms: 30000
-```
-
-Now jobs without `webhook_config` automatically use the default webhook.
-
-#### Job Status Polling (Without Webhooks)
-
-If you prefer polling instead of webhooks, just omit `webhook_config`:
-
-```bash
-# Submit job
-curl -X POST http://localhost:11235/crawl/job \
-  -H "Content-Type: application/json" \
-  -d '{"urls": ["https://example.com"]}'
-# Response: {"task_id": "crawl_xyz"}
-
-# Poll for status
-curl http://localhost:11235/crawl/job/crawl_xyz
-```
-
-The response includes `status` field: `"processing"`, `"completed"`, or `"failed"`.
-
-#### LLM Extraction Jobs with Webhooks
-
-The same webhook system works for LLM extraction jobs via `/llm/job`:
-
-```bash
-# Submit LLM extraction job with webhook
-curl -X POST http://localhost:11235/llm/job \
-  -H "Content-Type: application/json" \
-  -d '{
-    "url": "https://example.com/article",
-    "q": "Extract the article title, author, and main points",
-    "provider": "openai/gpt-4o-mini",
-    "webhook_config": {
-      "webhook_url": "https://myapp.com/webhooks/llm-complete",
-      "webhook_data_in_payload": true,
-      "webhook_headers": {
-        "X-Webhook-Secret": "your-secret-token"
-      }
-    }
-  }'
-
-# Response: {"task_id": "llm_1234567890"}
-```
-
-**Your webhook receives:**
-```json
-{
-  "task_id": "llm_1234567890",
-  "task_type": "llm_extraction",
-  "status": "completed",
-  "timestamp": "2025-10-22T12:30:00.000000+00:00",
-  "urls": ["https://example.com/article"],
-  "data": {
-    "extracted_content": {
-      "title": "Understanding Web Scraping",
-      "author": "John Doe",
-      "main_points": ["Point 1", "Point 2", "Point 3"]
-    }
-  }
-}
-```
-
-**Key Differences for LLM Jobs:**
-- Task type is `"llm_extraction"` instead of `"crawl"`
-- Extracted data is in `data.extracted_content`
-- Single URL only (not an array)
-- Supports schema-based extraction with `schema` parameter
-
-> 💡 **Pro tip**: See [WEBHOOK_EXAMPLES.md](./WEBHOOK_EXAMPLES.md) for detailed examples including TypeScript client code, Flask webhook handlers, and failure handling.
-
 ---
 
 ## Metrics & Monitoring
@@ -879,7 +692,8 @@ app:
 # Default LLM Configuration
 llm:
   provider: "openai/gpt-4o-mini"  # Can be overridden by LLM_PROVIDER env var
-  # api_key: sk-...  # If you pass the API key directly (not recommended)
+  api_key_env: "OPENAI_API_KEY"
+  # api_key: sk-...  # If you pass the API key directly then api_key_env will be ignored
 
 # Redis Configuration (Used by internal Redis server managed by supervisord)
 redis:
@@ -1013,11 +827,10 @@ We're here to help you succeed with Crawl4AI! Here's how to get support:
 
 In this guide, we've covered everything you need to get started with Crawl4AI's Docker deployment:
 - Building and running the Docker container
-- Configuring the environment
+- Configuring the environment  
 - Using the interactive playground for testing
 - Making API requests with proper typing
 - Using the Python SDK
-- Asynchronous job queues with webhook notifications
 - Leveraging specialized endpoints for screenshots, PDFs, and JavaScript execution
 - Connecting via the Model Context Protocol (MCP)
 - Monitoring your deployment

deploy/docker/WEBHOOK_EXAMPLES.md

@@ -1,378 +0,0 @@
-# Webhook Feature Examples
-
-This document provides examples of how to use the webhook feature for crawl jobs in Crawl4AI.
-
-## Overview
-
-The webhook feature allows you to receive notifications when crawl jobs complete, eliminating the need for polling. Webhooks are sent with exponential backoff retry logic to ensure reliable delivery.
-
-## Configuration
-
-### Global Configuration (config.yml)
-
-You can configure default webhook settings in `config.yml`:
-
-```yaml
-webhooks:
-  enabled: true
-  default_url: null  # Optional: default webhook URL for all jobs
-  data_in_payload: false  # Optional: default behavior for including data
-  retry:
-    max_attempts: 5
-    initial_delay_ms: 1000  # 1s, 2s, 4s, 8s, 16s exponential backoff
-    max_delay_ms: 32000
-    timeout_ms: 30000  # 30s timeout per webhook call
-  headers:  # Optional: default headers to include
-    User-Agent: "Crawl4AI-Webhook/1.0"
-```
-
-## API Usage Examples
-
-### Example 1: Basic Webhook (Notification Only)
-
-Send a webhook notification without including the crawl data in the payload.
-
-**Request:**
-```bash
-curl -X POST http://localhost:11235/crawl/job \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"],
-    "webhook_config": {
-      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
-      "webhook_data_in_payload": false
-    }
-  }'
-```
-
-**Response:**
-```json
-{
-  "task_id": "crawl_a1b2c3d4"
-}
-```
-
-**Webhook Payload Received:**
-```json
-{
-  "task_id": "crawl_a1b2c3d4",
-  "task_type": "crawl",
-  "status": "completed",
-  "timestamp": "2025-10-21T10:30:00.000000+00:00",
-  "urls": ["https://example.com"]
-}
-```
-
-Your webhook handler should then fetch the results:
-```bash
-curl http://localhost:11235/crawl/job/crawl_a1b2c3d4
-```
-
-### Example 2: Webhook with Data Included
-
-Include the full crawl results in the webhook payload.
-
-**Request:**
-```bash
-curl -X POST http://localhost:11235/crawl/job \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"],
-    "webhook_config": {
-      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
-      "webhook_data_in_payload": true
-    }
-  }'
-```
-
-**Webhook Payload Received:**
-```json
-{
-  "task_id": "crawl_a1b2c3d4",
-  "task_type": "crawl",
-  "status": "completed",
-  "timestamp": "2025-10-21T10:30:00.000000+00:00",
-  "urls": ["https://example.com"],
-  "data": {
-    "markdown": "...",
-    "html": "...",
-    "links": {...},
-    "metadata": {...}
-  }
-}
-```
-
-### Example 3: Webhook with Custom Headers
-
-Include custom headers for authentication or identification.
-
-**Request:**
-```bash
-curl -X POST http://localhost:11235/crawl/job \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"],
-    "webhook_config": {
-      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
-      "webhook_data_in_payload": false,
-      "webhook_headers": {
-        "X-Webhook-Secret": "my-secret-token",
-        "X-Service-ID": "crawl4ai-production"
-      }
-    }
-  }'
-```
-
-The webhook will be sent with these additional headers plus the default headers from config.
-
-### Example 4: Failure Notification
-
-When a crawl job fails, a webhook is sent with error details.
-
-**Webhook Payload on Failure:**
-```json
-{
-  "task_id": "crawl_a1b2c3d4",
-  "task_type": "crawl",
-  "status": "failed",
-  "timestamp": "2025-10-21T10:30:00.000000+00:00",
-  "urls": ["https://example.com"],
-  "error": "Connection timeout after 30s"
-}
-```
-
-### Example 5: Using Global Default Webhook
-
-If you set a `default_url` in config.yml, jobs without webhook_config will use it:
-
-**config.yml:**
-```yaml
-webhooks:
-  enabled: true
-  default_url: "https://myapp.com/webhooks/default"
-  data_in_payload: false
-```
-
-**Request (no webhook_config needed):**
-```bash
-curl -X POST http://localhost:11235/crawl/job \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"]
-  }'
-```
-
-The webhook will be sent to the default URL configured in config.yml.
-
-### Example 6: LLM Extraction Job with Webhook
-
-Use webhooks with the LLM extraction endpoint for asynchronous processing.
-
-**Request:**
-```bash
-curl -X POST http://localhost:11235/llm/job \
-  -H "Content-Type: application/json" \
-  -d '{
-    "url": "https://example.com/article",
-    "q": "Extract the article title, author, and publication date",
-    "schema": "{\"type\": \"object\", \"properties\": {\"title\": {\"type\": \"string\"}, \"author\": {\"type\": \"string\"}, \"date\": {\"type\": \"string\"}}}",
-    "cache": false,
-    "provider": "openai/gpt-4o-mini",
-    "webhook_config": {
-      "webhook_url": "https://myapp.com/webhooks/llm-complete",
-      "webhook_data_in_payload": true
-    }
-  }'
-```
-
-**Response:**
-```json
-{
-  "task_id": "llm_1698765432_12345"
-}
-```
-
-**Webhook Payload Received:**
-```json
-{
-  "task_id": "llm_1698765432_12345",
-  "task_type": "llm_extraction",
-  "status": "completed",
-  "timestamp": "2025-10-21T10:30:00.000000+00:00",
-  "urls": ["https://example.com/article"],
-  "data": {
-    "extracted_content": {
-      "title": "Understanding Web Scraping",
-      "author": "John Doe",
-      "date": "2025-10-21"
-    }
-  }
-}
-```
-
-## Webhook Handler Example
-
-Here's a simple Python Flask webhook handler that supports both crawl and LLM extraction jobs:
-
-```python
-from flask import Flask, request, jsonify
-import requests
-
-app = Flask(__name__)
-
-@app.route('/webhooks/crawl-complete', methods=['POST'])
-def handle_crawl_webhook():
-    payload = request.json
-
-    task_id = payload['task_id']
-    task_type = payload['task_type']
-    status = payload['status']
-
-    if status == 'completed':
-        # If data not in payload, fetch it
-        if 'data' not in payload:
-            # Determine endpoint based on task type
-            endpoint = 'crawl' if task_type == 'crawl' else 'llm'
-            response = requests.get(f'http://localhost:11235/{endpoint}/job/{task_id}')
-            data = response.json()
-        else:
-            data = payload['data']
-
-        # Process based on task type
-        if task_type == 'crawl':
-            print(f"Processing crawl results for {task_id}")
-            # Handle crawl results
-            results = data.get('results', [])
-            for result in results:
-                print(f"  - {result.get('url')}: {len(result.get('markdown', ''))} chars")
-
-        elif task_type == 'llm_extraction':
-            print(f"Processing LLM extraction for {task_id}")
-            # Handle LLM extraction
-            # Note: Webhook sends 'extracted_content', API returns 'result'
-            extracted = data.get('extracted_content', data.get('result', {}))
-            print(f"  - Extracted: {extracted}")
-
-        # Your business logic here...
-
-    elif status == 'failed':
-        error = payload.get('error', 'Unknown error')
-        print(f"{task_type} job {task_id} failed: {error}")
-        # Handle failure...
-
-    return jsonify({"status": "received"}), 200
-
-if __name__ == '__main__':
-    app.run(port=8080)
-```
-
-## Retry Logic
-
-The webhook delivery service uses exponential backoff retry logic:
-
-- **Attempts:** Up to 5 attempts by default
-- **Delays:** 1s → 2s → 4s → 8s → 16s
-- **Timeout:** 30 seconds per attempt
-- **Retry Conditions:**
-  - Server errors (5xx status codes)
-  - Network errors
-  - Timeouts
-- **No Retry:**
-  - Client errors (4xx status codes)
-  - Successful delivery (2xx status codes)
-
-## Benefits
-
-1. **No Polling Required** - Eliminates constant API calls to check job status
-2. **Real-time Notifications** - Immediate notification when jobs complete
-3. **Reliable Delivery** - Exponential backoff ensures webhooks are delivered
-4. **Flexible** - Choose between notification-only or full data delivery
-5. **Secure** - Support for custom headers for authentication
-6. **Configurable** - Global defaults or per-job configuration
-7. **Universal Support** - Works with both `/crawl/job` and `/llm/job` endpoints
-
-## TypeScript Client Example
-
-```typescript
-interface WebhookConfig {
-  webhook_url: string;
-  webhook_data_in_payload?: boolean;
-  webhook_headers?: Record<string, string>;
-}
-
-interface CrawlJobRequest {
-  urls: string[];
-  browser_config?: Record<string, any>;
-  crawler_config?: Record<string, any>;
-  webhook_config?: WebhookConfig;
-}
-
-interface LLMJobRequest {
-  url: string;
-  q: string;
-  schema?: string;
-  cache?: boolean;
-  provider?: string;
-  webhook_config?: WebhookConfig;
-}
-
-async function createCrawlJob(request: CrawlJobRequest) {
-  const response = await fetch('http://localhost:11235/crawl/job', {
-    method: 'POST',
-    headers: { 'Content-Type': 'application/json' },
-    body: JSON.stringify(request)
-  });
-
-  const { task_id } = await response.json();
-  return task_id;
-}
-
-async function createLLMJob(request: LLMJobRequest) {
-  const response = await fetch('http://localhost:11235/llm/job', {
-    method: 'POST',
-    headers: { 'Content-Type': 'application/json' },
-    body: JSON.stringify(request)
-  });
-
-  const { task_id } = await response.json();
-  return task_id;
-}
-
-// Usage - Crawl Job
-const crawlTaskId = await createCrawlJob({
-  urls: ['https://example.com'],
-  webhook_config: {
-    webhook_url: 'https://myapp.com/webhooks/crawl-complete',
-    webhook_data_in_payload: false,
-    webhook_headers: {
-      'X-Webhook-Secret': 'my-secret'
-    }
-  }
-});
-
-// Usage - LLM Extraction Job
-const llmTaskId = await createLLMJob({
-  url: 'https://example.com/article',
-  q: 'Extract the main points from this article',
-  provider: 'openai/gpt-4o-mini',
-  webhook_config: {
-    webhook_url: 'https://myapp.com/webhooks/llm-complete',
-    webhook_data_in_payload: true,
-    webhook_headers: {
-      'X-Webhook-Secret': 'my-secret'
-    }
-  }
-});
-```
-
-## Monitoring and Debugging
-
-Webhook delivery attempts are logged at INFO level:
-- Successful deliveries
-- Retry attempts with delays
-- Final failures after max attempts
-
-Check the application logs for webhook delivery status:
-```bash
-docker logs crawl4ai-container | grep -i webhook
-```

deploy/docker/__init__.py

@@ -1 +0,0 @@
-# Deploy docker module

deploy/docker/api.py

@@ -4,7 +4,7 @@ import asyncio
 from typing import List, Tuple, Dict
 from functools import partial
 from uuid import uuid4
-from datetime import datetime, timezone
+from datetime import datetime
 from base64 import b64encode
 
 import logging
@@ -42,11 +42,8 @@ from utils import (
     should_cleanup_task,
     decode_redis_hash,
     get_llm_api_key,
-    validate_llm_provider,
-    get_llm_temperature,
-    get_llm_base_url
+    validate_llm_provider
 )
-from webhook import WebhookDeliveryService
 
 import psutil, time
 
@@ -67,30 +64,23 @@ async def handle_llm_qa(
     config: dict
 ) -> str:
     """Process QA using LLM with crawled content as context."""
-    from crawler_pool import get_crawler
     try:
-        if not url.startswith(('http://', 'https://')) and not url.startswith(("raw:", "raw://")):
+        if not url.startswith(('http://', 'https://')):
             url = 'https://' + url
         # Extract base URL by finding last '?q=' occurrence
         last_q_index = url.rfind('?q=')
         if last_q_index != -1:
             url = url[:last_q_index]
 
-        # Get markdown content (use default config)
-        from utils import load_config
-        cfg = load_config()
-        browser_cfg = BrowserConfig(
-            extra_args=cfg["crawler"]["browser"].get("extra_args", []),
-            **cfg["crawler"]["browser"].get("kwargs", {}),
-        )
-        crawler = await get_crawler(browser_cfg)
-        result = await crawler.arun(url)
-        if not result.success:
-            raise HTTPException(
-                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-                detail=result.error_message
-            )
-        content = result.markdown.fit_markdown or result.markdown.raw_markdown
+        # Get markdown content
+        async with AsyncWebCrawler() as crawler:
+            result = await crawler.arun(url)
+            if not result.success:
+                raise HTTPException(
+                    status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                    detail=result.error_message
+                )
+            content = result.markdown.fit_markdown or result.markdown.raw_markdown
 
         # Create prompt and get LLM response
         prompt = f"""Use the following content as context to answer the question.
@@ -106,9 +96,7 @@ async def handle_llm_qa(
         response = perform_completion_with_backoff(
             provider=config["llm"]["provider"],
             prompt_with_variables=prompt,
-            api_token=get_llm_api_key(config),  # Returns None to let litellm handle it
-            temperature=get_llm_temperature(config),
-            base_url=get_llm_base_url(config)
+            api_token=get_llm_api_key(config)
         )
 
         return response.choices[0].message.content
@@ -127,15 +115,9 @@ async def process_llm_extraction(
     instruction: str,
     schema: Optional[str] = None,
     cache: str = "0",
-    provider: Optional[str] = None,
-    webhook_config: Optional[Dict] = None,
-    temperature: Optional[float] = None,
-    base_url: Optional[str] = None
+    provider: Optional[str] = None
 ) -> None:
     """Process LLM extraction in background."""
-    # Initialize webhook service
-    webhook_service = WebhookDeliveryService(config)
-
     try:
         # Validate provider
         is_valid, error_msg = validate_llm_provider(config, provider)
@@ -144,24 +126,12 @@ async def process_llm_extraction(
                 "status": TaskStatus.FAILED,
                 "error": error_msg
             })
-
-            # Send webhook notification on failure
-            await webhook_service.notify_job_completion(
-                task_id=task_id,
-                task_type="llm_extraction",
-                status="failed",
-                urls=[url],
-                webhook_config=webhook_config,
-                error=error_msg
-            )
             return
-        api_key = get_llm_api_key(config, provider)  # Returns None to let litellm handle it
+        api_key = get_llm_api_key(config, provider)
         llm_strategy = LLMExtractionStrategy(
             llm_config=LLMConfig(
                 provider=provider or config["llm"]["provider"],
-                api_token=api_key,
-                temperature=temperature or get_llm_temperature(config, provider),
-                base_url=base_url or get_llm_base_url(config, provider)
+                api_token=api_key
             ),
             instruction=instruction,
             schema=json.loads(schema) if schema else None,
@@ -184,40 +154,17 @@ async def process_llm_extraction(
                 "status": TaskStatus.FAILED,
                 "error": result.error_message
             })
-
-            # Send webhook notification on failure
-            await webhook_service.notify_job_completion(
-                task_id=task_id,
-                task_type="llm_extraction",
-                status="failed",
-                urls=[url],
-                webhook_config=webhook_config,
-                error=result.error_message
-            )
             return
 
         try:
             content = json.loads(result.extracted_content)
         except json.JSONDecodeError:
             content = result.extracted_content
-
-        result_data = {"extracted_content": content}
-
         await redis.hset(f"task:{task_id}", mapping={
             "status": TaskStatus.COMPLETED,
             "result": json.dumps(content)
         })
 
-        # Send webhook notification on successful completion
-        await webhook_service.notify_job_completion(
-            task_id=task_id,
-            task_type="llm_extraction",
-            status="completed",
-            urls=[url],
-            webhook_config=webhook_config,
-            result=result_data
-        )
-
     except Exception as e:
         logger.error(f"LLM extraction error: {str(e)}", exc_info=True)
         await redis.hset(f"task:{task_id}", mapping={
@@ -225,25 +172,13 @@ async def process_llm_extraction(
             "error": str(e)
         })
 
-        # Send webhook notification on failure
-        await webhook_service.notify_job_completion(
-            task_id=task_id,
-            task_type="llm_extraction",
-            status="failed",
-            urls=[url],
-            webhook_config=webhook_config,
-            error=str(e)
-        )
-
 async def handle_markdown_request(
     url: str,
     filter_type: FilterType,
     query: Optional[str] = None,
     cache: str = "0",
     config: Optional[dict] = None,
-    provider: Optional[str] = None,
-    temperature: Optional[float] = None,
-    base_url: Optional[str] = None
+    provider: Optional[str] = None
 ) -> str:
     """Handle markdown generation requests."""
     try:
@@ -256,7 +191,7 @@ async def handle_markdown_request(
                     detail=error_msg
                 )
         decoded_url = unquote(url)
-        if not decoded_url.startswith(('http://', 'https://')) and not decoded_url.startswith(("raw:", "raw://")):
+        if not decoded_url.startswith(('http://', 'https://')):
             decoded_url = 'https://' + decoded_url
 
         if filter_type == FilterType.RAW:
@@ -268,9 +203,7 @@ async def handle_markdown_request(
                 FilterType.LLM: LLMContentFilter(
                     llm_config=LLMConfig(
                         provider=provider or config["llm"]["provider"],
-                        api_token=get_llm_api_key(config, provider),  # Returns None to let litellm handle it
-                        temperature=temperature or get_llm_temperature(config, provider),
-                        base_url=base_url or get_llm_base_url(config, provider)
+                        api_token=get_llm_api_key(config, provider),
                     ),
                     instruction=query or "Extract main content"
                 )
@@ -279,32 +212,25 @@ async def handle_markdown_request(
 
         cache_mode = CacheMode.ENABLED if cache == "1" else CacheMode.WRITE_ONLY
 
-        from crawler_pool import get_crawler
-        from utils import load_config as _load_config
-        _cfg = _load_config()
-        browser_cfg = BrowserConfig(
-            extra_args=_cfg["crawler"]["browser"].get("extra_args", []),
-            **_cfg["crawler"]["browser"].get("kwargs", {}),
-        )
-        crawler = await get_crawler(browser_cfg)
-        result = await crawler.arun(
-            url=decoded_url,
-            config=CrawlerRunConfig(
-                markdown_generator=md_generator,
-                scraping_strategy=LXMLWebScrapingStrategy(),
-                cache_mode=cache_mode
+        async with AsyncWebCrawler() as crawler:
+            result = await crawler.arun(
+                url=decoded_url,
+                config=CrawlerRunConfig(
+                    markdown_generator=md_generator,
+                    scraping_strategy=LXMLWebScrapingStrategy(),
+                    cache_mode=cache_mode
+                )
             )
-        )
+            
+            if not result.success:
+                raise HTTPException(
+                    status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                    detail=result.error_message
+                )
 
-        if not result.success:
-            raise HTTPException(
-                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-                detail=result.error_message
-            )
-
-        return (result.markdown.raw_markdown
-               if filter_type == FilterType.RAW
-               else result.markdown.fit_markdown)
+            return (result.markdown.raw_markdown 
+                   if filter_type == FilterType.RAW 
+                   else result.markdown.fit_markdown)
 
     except Exception as e:
         logger.error(f"Markdown error: {str(e)}", exc_info=True)
@@ -322,10 +248,7 @@ async def handle_llm_request(
     schema: Optional[str] = None,
     cache: str = "0",
     config: Optional[dict] = None,
-    provider: Optional[str] = None,
-    webhook_config: Optional[Dict] = None,
-    temperature: Optional[float] = None,
-    api_base_url: Optional[str] = None
+    provider: Optional[str] = None
 ) -> JSONResponse:
     """Handle LLM extraction requests."""
     base_url = get_base_url(request)
@@ -356,10 +279,7 @@ async def handle_llm_request(
             cache,
             base_url,
             config,
-            provider,
-            webhook_config,
-            temperature,
-            api_base_url
+            provider
         )
 
     except Exception as e:
@@ -404,30 +324,21 @@ async def create_new_task(
     cache: str,
     base_url: str,
     config: dict,
-    provider: Optional[str] = None,
-    webhook_config: Optional[Dict] = None,
-    temperature: Optional[float] = None,
-    api_base_url: Optional[str] = None
+    provider: Optional[str] = None
 ) -> JSONResponse:
     """Create and initialize a new task."""
     decoded_url = unquote(input_path)
-    if not decoded_url.startswith(('http://', 'https://')) and not decoded_url.startswith(("raw:", "raw://")):
+    if not decoded_url.startswith(('http://', 'https://')):
         decoded_url = 'https://' + decoded_url
 
     from datetime import datetime
     task_id = f"llm_{int(datetime.now().timestamp())}_{id(background_tasks)}"
-
-    task_data = {
+    
+    await redis.hset(f"task:{task_id}", mapping={
         "status": TaskStatus.PROCESSING,
         "created_at": datetime.now().isoformat(),
         "url": decoded_url
-    }
-
-    # Store webhook config if provided
-    if webhook_config:
-        task_data["webhook_config"] = json.dumps(webhook_config)
-
-    await redis.hset(f"task:{task_id}", mapping=task_data)
+    })
 
     background_tasks.add_task(
         process_llm_extraction,
@@ -438,10 +349,7 @@ async def create_new_task(
         query,
         schema,
         cache,
-        provider,
-        webhook_config,
-        temperature,
-        api_base_url
+        provider
     )
 
     return JSONResponse({
@@ -485,9 +393,6 @@ async def stream_results(crawler: AsyncWebCrawler, results_gen: AsyncGenerator)
                 server_memory_mb = _get_memory_mb()
                 result_dict = result.model_dump()
                 result_dict['server_memory_mb'] = server_memory_mb
-                # Ensure fit_html is JSON-serializable
-                if "fit_html" in result_dict and not (result_dict["fit_html"] is None or isinstance(result_dict["fit_html"], str)):
-                    result_dict["fit_html"] = None
                 # If PDF exists, encode it to base64
                 if result_dict.get('pdf') is not None:
                     result_dict['pdf'] = b64encode(result_dict['pdf']).decode('utf-8')
@@ -514,28 +419,16 @@ async def handle_crawl_request(
     urls: List[str],
     browser_config: dict,
     crawler_config: dict,
-    config: dict,
-    hooks_config: Optional[dict] = None
+    config: dict
 ) -> dict:
-    """Handle non-streaming crawl requests with optional hooks."""
-    # Track request start
-    request_id = f"req_{uuid4().hex[:8]}"
-    try:
-        from monitor import get_monitor
-        await get_monitor().track_request_start(
-            request_id, "/crawl", urls[0] if urls else "batch", browser_config
-        )
-    except:
-        pass  # Monitor not critical
-
+    """Handle non-streaming crawl requests."""
     start_mem_mb = _get_memory_mb() # <--- Get memory before
     start_time = time.time()
     mem_delta_mb = None
     peak_mem_mb = start_mem_mb
-    hook_manager = None
-
+    
     try:
-        urls = [('https://' + url) if not url.startswith(('http://', 'https://')) and not url.startswith(("raw:", "raw://")) else url for url in urls]
+        urls = [('https://' + url) if not url.startswith(('http://', 'https://')) else url for url in urls]
         browser_config = BrowserConfig.load(browser_config)
         crawler_config = CrawlerRunConfig.load(crawler_config)
 
@@ -552,27 +445,11 @@ async def handle_crawl_request(
         # crawler: AsyncWebCrawler = AsyncWebCrawler(config=browser_config)
         # await crawler.start()
         
-        # Attach hooks if provided
-        hooks_status = {}
-        if hooks_config:
-            from hook_manager import attach_user_hooks_to_crawler, UserHookManager
-            hook_manager = UserHookManager(timeout=hooks_config.get('timeout', 30))
-            hooks_status, hook_manager = await attach_user_hooks_to_crawler(
-                crawler,
-                hooks_config.get('code', {}),
-                timeout=hooks_config.get('timeout', 30),
-                hook_manager=hook_manager
-            )
-            logger.info(f"Hooks attachment status: {hooks_status['status']}")
-        
         base_config = config["crawler"]["base_config"]
-        # Iterate on key-value pairs in global_config then use hasattr to set them
+        # Iterate on key-value pairs in global_config then use haseattr to set them 
         for key, value in base_config.items():
             if hasattr(crawler_config, key):
-                current_value = getattr(crawler_config, key)
-                # Only set base config if user didn't provide a value
-                if current_value is None or current_value == "":
-                    setattr(crawler_config, key, value)
+                setattr(crawler_config, key, value)
 
         results = []
         func = getattr(crawler, "arun" if len(urls) == 1 else "arun_many")
@@ -581,10 +458,6 @@ async def handle_crawl_request(
                                 config=crawler_config, 
                                 dispatcher=dispatcher)
         results = await partial_func()
-        
-        # Ensure results is always a list
-        if not isinstance(results, list):
-            results = [results]
 
         # await crawler.close()
         
@@ -599,39 +472,13 @@ async def handle_crawl_request(
         # Process results to handle PDF bytes
         processed_results = []
         for result in results:
-            try:
-                # Check if result has model_dump method (is a proper CrawlResult)
-                if hasattr(result, 'model_dump'):
-                    result_dict = result.model_dump()
-                elif isinstance(result, dict):
-                    result_dict = result
-                else:
-                    # Handle unexpected result type
-                    logger.warning(f"Unexpected result type: {type(result)}")
-                    result_dict = {
-                        "url": str(result) if hasattr(result, '__str__') else "unknown",
-                        "success": False,
-                        "error_message": f"Unexpected result type: {type(result).__name__}"
-                    }
-                
-                # if fit_html is not a string, set it to None to avoid serialization errors
-                if "fit_html" in result_dict and not (result_dict["fit_html"] is None or isinstance(result_dict["fit_html"], str)):
-                    result_dict["fit_html"] = None
-                    
-                # If PDF exists, encode it to base64
-                if result_dict.get('pdf') is not None and isinstance(result_dict.get('pdf'), bytes):
-                    result_dict['pdf'] = b64encode(result_dict['pdf']).decode('utf-8')
-                    
-                processed_results.append(result_dict)
-            except Exception as e:
-                logger.error(f"Error processing result: {e}")
-                processed_results.append({
-                    "url": "unknown",
-                    "success": False,
-                    "error_message": str(e)
-                })
+            result_dict = result.model_dump()
+            # If PDF exists, encode it to base64
+            if result_dict.get('pdf') is not None:
+                result_dict['pdf'] = b64encode(result_dict['pdf']).decode('utf-8')
+            processed_results.append(result_dict)
             
-        response = {
+        return {
             "success": True,
             "results": processed_results,
             "server_processing_time_s": end_time - start_time,
@@ -639,53 +486,8 @@ async def handle_crawl_request(
             "server_peak_memory_mb": peak_mem_mb
         }
 
-        # Track request completion
-        try:
-            from monitor import get_monitor
-            await get_monitor().track_request_end(
-                request_id, success=True, pool_hit=True, status_code=200
-            )
-        except:
-            pass
-
-        # Add hooks information if hooks were used
-        if hooks_config and hook_manager:
-            from hook_manager import UserHookManager
-            if isinstance(hook_manager, UserHookManager):
-                try:
-                    # Ensure all hook data is JSON serializable
-                    hook_data = {
-                        "status": hooks_status,
-                        "execution_log": hook_manager.execution_log,
-                        "errors": hook_manager.errors,
-                        "summary": hook_manager.get_summary()
-                    }
-                    # Test that it's serializable
-                    json.dumps(hook_data)
-                    response["hooks"] = hook_data
-                except (TypeError, ValueError) as e:
-                    logger.error(f"Hook data not JSON serializable: {e}")
-                    response["hooks"] = {
-                        "status": {"status": "error", "message": "Hook data serialization failed"},
-                        "execution_log": [],
-                        "errors": [{"error": str(e)}],
-                        "summary": {}
-                    }
-        
-        return response
-
     except Exception as e:
         logger.error(f"Crawl error: {str(e)}", exc_info=True)
-
-        # Track request error
-        try:
-            from monitor import get_monitor
-            await get_monitor().track_request_end(
-                request_id, success=False, error=str(e), status_code=500
-            )
-        except:
-            pass
-
         if 'crawler' in locals() and crawler.ready: # Check if crawler was initialized and started
             #  try:
             #      await crawler.close()
@@ -711,11 +513,9 @@ async def handle_stream_crawl_request(
     urls: List[str],
     browser_config: dict,
     crawler_config: dict,
-    config: dict,
-    hooks_config: Optional[dict] = None
-) -> Tuple[AsyncWebCrawler, AsyncGenerator, Optional[Dict]]:
-    """Handle streaming crawl requests with optional hooks."""
-    hooks_info = None
+    config: dict
+) -> Tuple[AsyncWebCrawler, AsyncGenerator]:
+    """Handle streaming crawl requests."""
     try:
         browser_config = BrowserConfig.load(browser_config)
         # browser_config.verbose = True # Set to False or remove for production stress testing
@@ -736,20 +536,6 @@ async def handle_stream_crawl_request(
 
         # crawler = AsyncWebCrawler(config=browser_config)
         # await crawler.start()
-        
-        # Attach hooks if provided
-        if hooks_config:
-            from hook_manager import attach_user_hooks_to_crawler, UserHookManager
-            hook_manager = UserHookManager(timeout=hooks_config.get('timeout', 30))
-            hooks_status, hook_manager = await attach_user_hooks_to_crawler(
-                crawler,
-                hooks_config.get('code', {}),
-                timeout=hooks_config.get('timeout', 30),
-                hook_manager=hook_manager
-            )
-            logger.info(f"Hooks attachment status for streaming: {hooks_status['status']}")
-            # Include hook manager in hooks_info for proper tracking
-            hooks_info = {'status': hooks_status, 'manager': hook_manager}
 
         results_gen = await crawler.arun_many(
             urls=urls,
@@ -757,7 +543,7 @@ async def handle_stream_crawl_request(
             dispatcher=dispatcher
         )
 
-        return crawler, results_gen, hooks_info
+        return crawler, results_gen
 
     except Exception as e:
         # Make sure to close crawler if started during an error here
@@ -781,7 +567,6 @@ async def handle_crawl_job(
     browser_config: Dict,
     crawler_config: Dict,
     config: Dict,
-    webhook_config: Optional[Dict] = None,
 ) -> Dict:
     """
     Fire-and-forget version of handle_crawl_request.
@@ -789,24 +574,13 @@ async def handle_crawl_job(
     lets /crawl/job/{task_id} polling fetch the result.
     """
     task_id = f"crawl_{uuid4().hex[:8]}"
-
-    # Store task data in Redis
-    task_data = {
+    await redis.hset(f"task:{task_id}", mapping={
         "status": TaskStatus.PROCESSING,         # <-- keep enum values consistent
-        "created_at": datetime.now(timezone.utc).replace(tzinfo=None).isoformat(),
+        "created_at": datetime.utcnow().isoformat(),
         "url": json.dumps(urls),                 # store list as JSON string
         "result": "",
         "error": "",
-    }
-
-    # Store webhook config if provided
-    if webhook_config:
-        task_data["webhook_config"] = json.dumps(webhook_config)
-
-    await redis.hset(f"task:{task_id}", mapping=task_data)
-
-    # Initialize webhook service
-    webhook_service = WebhookDeliveryService(config)
+    })
 
     async def _runner():
         try:
@@ -820,17 +594,6 @@ async def handle_crawl_job(
                 "status": TaskStatus.COMPLETED,
                 "result": json.dumps(result),
             })
-
-            # Send webhook notification on successful completion
-            await webhook_service.notify_job_completion(
-                task_id=task_id,
-                task_type="crawl",
-                status="completed",
-                urls=urls,
-                webhook_config=webhook_config,
-                result=result
-            )
-
             await asyncio.sleep(5)  # Give Redis time to process the update
         except Exception as exc:
             await redis.hset(f"task:{task_id}", mapping={
@@ -838,15 +601,5 @@ async def handle_crawl_job(
                 "error": str(exc),
             })
 
-            # Send webhook notification on failure
-            await webhook_service.notify_job_completion(
-                task_id=task_id,
-                task_type="crawl",
-                status="failed",
-                urls=urls,
-                webhook_config=webhook_config,
-                error=str(exc)
-            )
-
     background_tasks.add_task(_runner)
     return {"task_id": task_id}

deploy/docker/auth.py

@@ -28,43 +28,25 @@ def create_access_token(data: dict, expires_delta: Optional[timedelta] = None) -
     signing_key = get_jwk_from_secret(SECRET_KEY)
     return instance.encode(to_encode, signing_key, alg='HS256')
 
-def verify_token(credentials: HTTPAuthorizationCredentials) -> Dict:
+def verify_token(credentials: HTTPAuthorizationCredentials = Depends(security)) -> Dict:
     """Verify the JWT token from the Authorization header."""
-    
-    if not credentials or not credentials.credentials:
-        raise HTTPException(
-            status_code=401, 
-            detail="No token provided",
-            headers={"WWW-Authenticate": "Bearer"}
-        )
-    
+
+    if credentials is None:
+        return None
     token = credentials.credentials
     verifying_key = get_jwk_from_secret(SECRET_KEY)
     try:
         payload = instance.decode(token, verifying_key, do_time_check=True, algorithms='HS256')
         return payload
-    except Exception as e:
-        raise HTTPException(
-            status_code=401, 
-            detail=f"Invalid or expired token: {str(e)}",
-            headers={"WWW-Authenticate": "Bearer"}
-        )
+    except Exception:
+        raise HTTPException(status_code=401, detail="Invalid or expired token")
 
 
 def get_token_dependency(config: Dict):
     """Return the token dependency if JWT is enabled, else a function that returns None."""
-    
+
     if config.get("security", {}).get("jwt_enabled", False):
-        def jwt_required(credentials: HTTPAuthorizationCredentials = Depends(security)) -> Dict:
-            """Enforce JWT authentication when enabled."""
-            if credentials is None:
-                raise HTTPException(
-                    status_code=401, 
-                    detail="Authentication required. Please provide a valid Bearer token.",
-                    headers={"WWW-Authenticate": "Bearer"}
-                )
-            return verify_token(credentials)
-        return jwt_required
+        return verify_token
     else:
         return lambda: None
 

deploy/docker/c4ai-code-context.md

@@ -7520,18 +7520,17 @@ class BrowserManager:
             )
             os.makedirs(browser_args["downloads_path"], exist_ok=True)
 
-        if self.config.proxy:
-            warnings.warn(
-                "BrowserConfig.proxy is deprecated and ignored. Use proxy_config instead.",
-                DeprecationWarning,
-            )
-        if self.config.proxy_config:
+        if self.config.proxy or self.config.proxy_config:
             from playwright.async_api import ProxySettings
 
-            proxy_settings = ProxySettings(
-                server=self.config.proxy_config.server,
-                username=self.config.proxy_config.username,
-                password=self.config.proxy_config.password,
+            proxy_settings = (
+                ProxySettings(server=self.config.proxy)
+                if self.config.proxy
+                else ProxySettings(
+                    server=self.config.proxy_config.server,
+                    username=self.config.proxy_config.username,
+                    password=self.config.proxy_config.password,
+                )
             )
             browser_args["proxy"] = proxy_settings
 

deploy/docker/c4ai-doc-context.md

@@ -2241,7 +2241,7 @@ docker build -t crawl4ai
 
 | Argument | Description | Default | Options |
 |----------|-------------|---------|----------|
-| PYTHON_VERSION | Python version | 3.10 | 3.10, 3.11, 3.12, 3.13 |
+| PYTHON_VERSION | Python version | 3.10 | 3.8, 3.9, 3.10 |
 | INSTALL_TYPE | Feature set | default | default, all, torch, transformer |
 | ENABLE_GPU | GPU support | false | true, false |
 | APP_HOME | Install path | /app | any valid path |

deploy/docker/cnode_cli.py

@@ -1,492 +0,0 @@
-"""
-Crawl4AI Server CLI Commands
-
-Provides `cnode` command group for Docker orchestration.
-"""
-
-import click
-import anyio
-from rich.console import Console
-from rich.table import Table
-from rich.panel import Panel
-from rich.prompt import Confirm
-
-from deploy.docker.server_manager import ServerManager
-
-
-console = Console()
-
-
-@click.group()
-def cli():
-    """Manage Crawl4AI Docker server instances
-
-    \b
-    One-command deployment with automatic scaling:
-      • Single container for development (N=1)
-      • Docker Swarm for production with built-in load balancing (N>1)
-      • Docker Compose + Nginx as fallback (N>1)
-
-    \b
-    Examples:
-      cnode start                    # Single container on port 11235
-      cnode start --replicas 3       # Auto-detect Swarm or Compose
-      cnode start -r 5 --port 8080   # 5 replicas on custom port
-      cnode status                   # Check current deployment
-      cnode scale 10                 # Scale to 10 replicas
-      cnode stop                     # Stop and cleanup
-    """
-    pass
-
-
-@cli.command("start")
-@click.option(
-    "--replicas", "-r",
-    type=int,
-    default=1,
-    help="Number of container replicas (default: 1)"
-)
-@click.option(
-    "--mode",
-    type=click.Choice(["auto", "single", "swarm", "compose"]),
-    default="auto",
-    help="Deployment mode (default: auto-detect)"
-)
-@click.option(
-    "--port", "-p",
-    type=int,
-    default=11235,
-    help="External port to expose (default: 11235)"
-)
-@click.option(
-    "--env-file",
-    type=click.Path(exists=True),
-    help="Path to environment file"
-)
-@click.option(
-    "--image",
-    default="unclecode/crawl4ai:latest",
-    help="Docker image to use (default: unclecode/crawl4ai:latest)"
-)
-def start_cmd(replicas: int, mode: str, port: int, env_file: str, image: str):
-    """Start Crawl4AI server with automatic orchestration.
-
-    Deployment modes:
-    - auto: Automatically choose best mode (default)
-    - single: Single container (N=1 only)
-    - swarm: Docker Swarm with built-in load balancing
-    - compose: Docker Compose + Nginx reverse proxy
-
-    The server will:
-    1. Check if Docker is running
-    2. Validate port availability
-    3. Pull image if needed
-    4. Start container(s) with health checks
-    5. Save state for management
-
-    Examples:
-        # Development: single container
-        cnode start
-
-        # Production: 5 replicas with Swarm
-        cnode start --replicas 5
-
-        # Custom configuration
-        cnode start -r 3 --port 8080 --env-file .env.prod
-    """
-    manager = ServerManager()
-
-    console.print(Panel(
-        f"[cyan]Starting Crawl4AI Server[/cyan]\n\n"
-        f"Replicas: [yellow]{replicas}[/yellow]\n"
-        f"Mode: [yellow]{mode}[/yellow]\n"
-        f"Port: [yellow]{port}[/yellow]\n"
-        f"Image: [yellow]{image}[/yellow]",
-        title="Server Start",
-        border_style="cyan"
-    ))
-
-    with console.status("[cyan]Starting server..."):
-        async def _start():
-            return await manager.start(
-                replicas=replicas,
-                mode=mode,
-                port=port,
-                env_file=env_file,
-                image=image
-            )
-        result = anyio.run(_start)
-
-    if result["success"]:
-        console.print(Panel(
-            f"[green]✓ Server started successfully![/green]\n\n"
-            f"Mode: [cyan]{result.get('state_data', {}).get('mode', mode)}[/cyan]\n"
-            f"URL: [bold]http://localhost:{port}[/bold]\n"
-            f"Health: [bold]http://localhost:{port}/health[/bold]\n"
-            f"Monitor: [bold]http://localhost:{port}/monitor[/bold]",
-            title="Server Running",
-            border_style="green"
-        ))
-    else:
-        error_msg = result.get("error", result.get("message", "Unknown error"))
-        console.print(Panel(
-            f"[red]✗ Failed to start server[/red]\n\n"
-            f"{error_msg}",
-            title="Error",
-            border_style="red"
-        ))
-
-        if "already running" in error_msg.lower():
-            console.print("\n[yellow]Hint: Use 'cnode status' to check current deployment[/yellow]")
-            console.print("[yellow]      Use 'cnode stop' to stop existing server[/yellow]")
-
-
-@cli.command("status")
-def status_cmd():
-    """Show current server status and deployment info.
-
-    Displays:
-    - Running state (up/down)
-    - Deployment mode (single/swarm/compose)
-    - Number of replicas
-    - Port mapping
-    - Uptime
-    - Image version
-
-    Example:
-        cnode status
-    """
-    manager = ServerManager()
-
-    async def _status():
-        return await manager.status()
-    result = anyio.run(_status)
-
-    if result["running"]:
-        table = Table(title="Crawl4AI Server Status", border_style="green")
-        table.add_column("Property", style="cyan")
-        table.add_column("Value", style="green")
-
-        table.add_row("Status", "🟢 Running")
-        table.add_row("Mode", result["mode"])
-        table.add_row("Replicas", str(result.get("replicas", 1)))
-        table.add_row("Port", str(result.get("port", 11235)))
-        table.add_row("Image", result.get("image", "unknown"))
-        table.add_row("Uptime", result.get("uptime", "unknown"))
-        table.add_row("Started", result.get("started_at", "unknown"))
-
-        console.print(table)
-        console.print(f"\n[green]✓ Server is healthy[/green]")
-        console.print(f"[dim]Access: http://localhost:{result.get('port', 11235)}[/dim]")
-    else:
-        console.print(Panel(
-            f"[yellow]No server is currently running[/yellow]\n\n"
-            f"Use 'cnode start' to launch a server",
-            title="Server Status",
-            border_style="yellow"
-        ))
-
-
-@cli.command("stop")
-@click.option(
-    "--remove-volumes",
-    is_flag=True,
-    help="Remove associated volumes (WARNING: deletes data)"
-)
-def stop_cmd(remove_volumes: bool):
-    """Stop running Crawl4AI server and cleanup resources.
-
-    This will:
-    1. Stop all running containers/services
-    2. Remove containers
-    3. Optionally remove volumes (--remove-volumes)
-    4. Clean up state files
-
-    WARNING: Use --remove-volumes with caution as it will delete
-    persistent data including Redis databases and logs.
-
-    Examples:
-        # Stop server, keep volumes
-        cnode stop
-
-        # Stop and remove all data
-        cnode stop --remove-volumes
-    """
-    manager = ServerManager()
-
-    # Confirm if removing volumes
-    if remove_volumes:
-        if not Confirm.ask(
-            "[red]⚠️  This will delete all server data including Redis databases. Continue?[/red]"
-        ):
-            console.print("[yellow]Cancelled[/yellow]")
-            return
-
-    with console.status("[cyan]Stopping server..."):
-        async def _stop():
-            return await manager.stop(remove_volumes=remove_volumes)
-        result = anyio.run(_stop)
-
-    if result["success"]:
-        console.print(Panel(
-            f"[green]✓ Server stopped successfully[/green]\n\n"
-            f"{result.get('message', 'All resources cleaned up')}",
-            title="Server Stopped",
-            border_style="green"
-        ))
-    else:
-        console.print(Panel(
-            f"[red]✗ Error stopping server[/red]\n\n"
-            f"{result.get('error', result.get('message', 'Unknown error'))}",
-            title="Error",
-            border_style="red"
-        ))
-
-
-@cli.command("scale")
-@click.argument("replicas", type=int)
-def scale_cmd(replicas: int):
-    """Scale server to specified number of replicas.
-
-    Only works with Swarm or Compose modes. Single container
-    mode cannot be scaled (must stop and restart with --replicas).
-
-    Scaling is live and does not require downtime. The load
-    balancer will automatically distribute traffic to new replicas.
-
-    Examples:
-        # Scale up to 10 replicas
-        cnode scale 10
-
-        # Scale down to 2 replicas
-        cnode scale 2
-
-        # Scale to 1 (minimum)
-        cnode scale 1
-    """
-    if replicas < 1:
-        console.print("[red]Error: Replicas must be at least 1[/red]")
-        return
-
-    manager = ServerManager()
-
-    with console.status(f"[cyan]Scaling to {replicas} replicas..."):
-        async def _scale():
-            return await manager.scale(replicas=replicas)
-        result = anyio.run(_scale)
-
-    if result["success"]:
-        console.print(Panel(
-            f"[green]✓ Scaled successfully[/green]\n\n"
-            f"New replica count: [bold]{replicas}[/bold]\n"
-            f"Mode: [cyan]{result.get('mode')}[/cyan]",
-            title="Scaling Complete",
-            border_style="green"
-        ))
-    else:
-        error_msg = result.get("error", result.get("message", "Unknown error"))
-        console.print(Panel(
-            f"[red]✗ Scaling failed[/red]\n\n"
-            f"{error_msg}",
-            title="Error",
-            border_style="red"
-        ))
-
-        if "single container" in error_msg.lower():
-            console.print("\n[yellow]Hint: For single container mode:[/yellow]")
-            console.print("[yellow]  1. cnode stop[/yellow]")
-            console.print(f"[yellow]  2. cnode start --replicas {replicas}[/yellow]")
-
-
-@cli.command("logs")
-@click.option(
-    "--follow", "-f",
-    is_flag=True,
-    help="Follow log output (like tail -f)"
-)
-@click.option(
-    "--tail",
-    type=int,
-    default=100,
-    help="Number of lines to show (default: 100)"
-)
-def logs_cmd(follow: bool, tail: int):
-    """View server logs.
-
-    Shows logs from running containers/services. Use --follow
-    to stream logs in real-time.
-
-    Examples:
-        # Show last 100 lines
-        cnode logs
-
-        # Show last 500 lines
-        cnode logs --tail 500
-
-        # Follow logs in real-time
-        cnode logs --follow
-
-        # Combine options
-        cnode logs -f --tail 50
-    """
-    manager = ServerManager()
-
-    async def _logs():
-        return await manager.logs(follow=follow, tail=tail)
-    output = anyio.run(_logs)
-    console.print(output)
-
-
-@cli.command("cleanup")
-@click.option(
-    "--force",
-    is_flag=True,
-    help="Force cleanup even if state file doesn't exist"
-)
-def cleanup_cmd(force: bool):
-    """Force cleanup of all Crawl4AI Docker resources.
-
-    Stops and removes all containers, networks, and optionally volumes.
-    Useful when server is stuck or state is corrupted.
-
-    Examples:
-        # Clean up everything
-        cnode cleanup
-
-        # Force cleanup (ignore state file)
-        cnode cleanup --force
-    """
-    manager = ServerManager()
-
-    console.print(Panel(
-        f"[yellow]⚠️  Cleaning up Crawl4AI Docker resources[/yellow]\n\n"
-        f"This will stop and remove:\n"
-        f"- All Crawl4AI containers\n"
-        f"- Nginx load balancer\n"
-        f"- Redis instance\n"
-        f"- Docker networks\n"
-        f"- State files",
-        title="Cleanup",
-        border_style="yellow"
-    ))
-
-    if not force and not Confirm.ask("[yellow]Continue with cleanup?[/yellow]"):
-        console.print("[yellow]Cancelled[/yellow]")
-        return
-
-    with console.status("[cyan]Cleaning up resources..."):
-        async def _cleanup():
-            return await manager.cleanup(force=force)
-        result = anyio.run(_cleanup)
-
-    if result["success"]:
-        console.print(Panel(
-            f"[green]✓ Cleanup completed successfully[/green]\n\n"
-            f"Removed: {result.get('removed', 0)} containers\n"
-            f"{result.get('message', 'All resources cleaned up')}",
-            title="Cleanup Complete",
-            border_style="green"
-        ))
-    else:
-        console.print(Panel(
-            f"[yellow]⚠️  Partial cleanup[/yellow]\n\n"
-            f"{result.get('message', 'Some resources may still exist')}",
-            title="Cleanup Status",
-            border_style="yellow"
-        ))
-
-
-@cli.command("restart")
-@click.option(
-    "--replicas", "-r",
-    type=int,
-    help="New replica count (optional)"
-)
-def restart_cmd(replicas: int):
-    """Restart server (stop then start with same config).
-
-    Preserves existing configuration unless overridden with options.
-    Useful for applying image updates or recovering from errors.
-
-    Examples:
-        # Restart with same configuration
-        cnode restart
-
-        # Restart and change replica count
-        cnode restart --replicas 5
-    """
-    manager = ServerManager()
-
-    # Get current state
-    async def _get_status():
-        return await manager.status()
-    current = anyio.run(_get_status)
-
-    if not current["running"]:
-        console.print("[yellow]No server is running. Use 'cnode start' instead.[/yellow]")
-        return
-
-    # Extract current config
-    current_replicas = current.get("replicas", 1)
-    current_port = current.get("port", 11235)
-    current_image = current.get("image", "unclecode/crawl4ai:latest")
-    current_mode = current.get("mode", "auto")
-
-    # Override with CLI args
-    new_replicas = replicas if replicas is not None else current_replicas
-
-    console.print(Panel(
-        f"[cyan]Restarting Crawl4AI Server[/cyan]\n\n"
-        f"Replicas: [yellow]{current_replicas}[/yellow] → [green]{new_replicas}[/green]\n"
-        f"Port: [yellow]{current_port}[/yellow]\n"
-        f"Mode: [yellow]{current_mode}[/yellow]",
-        title="Server Restart",
-        border_style="cyan"
-    ))
-
-    # Stop current
-    with console.status("[cyan]Stopping current server..."):
-        async def _stop_server():
-            return await manager.stop(remove_volumes=False)
-        stop_result = anyio.run(_stop_server)
-
-    if not stop_result["success"]:
-        console.print(f"[red]Failed to stop server: {stop_result.get('error')}[/red]")
-        return
-
-    # Start new
-    with console.status("[cyan]Starting server..."):
-        async def _start_server():
-            return await manager.start(
-                replicas=new_replicas,
-                mode="auto",
-                port=current_port,
-                image=current_image
-            )
-        start_result = anyio.run(_start_server)
-
-    if start_result["success"]:
-        console.print(Panel(
-            f"[green]✓ Server restarted successfully![/green]\n\n"
-            f"URL: [bold]http://localhost:{current_port}[/bold]",
-            title="Restart Complete",
-            border_style="green"
-        ))
-    else:
-        console.print(Panel(
-            f"[red]✗ Failed to restart server[/red]\n\n"
-            f"{start_result.get('error', 'Unknown error')}",
-            title="Error",
-            border_style="red"
-        ))
-
-
-def main():
-    """Entry point for cnode CLI"""
-    cli()
-
-
-if __name__ == "__main__":
-    main()
-
-# Test comment

deploy/docker/config.yml

@@ -3,7 +3,7 @@ app:
   title: "Crawl4AI API"
   version: "1.0.0"
   host: "0.0.0.0"
-  port: 11235
+  port: 11234
   reload: False
   workers: 1
   timeout_keep_alive: 300
@@ -11,7 +11,8 @@ app:
 # Default LLM Configuration
 llm:
   provider: "openai/gpt-4o-mini"
-  # api_key: sk-...  # If you pass the API key directly (not recommended)
+  api_key_env: "OPENAI_API_KEY"
+  # api_key: sk-...  # If you pass the API key directly then api_key_env will be ignored
 
 # Redis Configuration
 redis:
@@ -38,8 +39,8 @@ rate_limiting:
 
 # Security Configuration
 security:
-  enabled: false
-  jwt_enabled: false
+  enabled: false 
+  jwt_enabled: false 
   https_redirect: false
   trusted_hosts: ["*"]
   headers:
@@ -61,7 +62,7 @@ crawler:
     batch_process: 300.0  # Timeout for batch processing
   pool:
     max_pages: 40                          # ← GLOBAL_SEM permits
-    idle_ttl_sec: 300                     # ← 30 min janitor cutoff
+    idle_ttl_sec: 1800                     # ← 30 min janitor cutoff
   browser:
     kwargs:
       headless: true
@@ -87,17 +88,4 @@ observability:
     enabled: True
     endpoint: "/metrics"
   health_check:
-    endpoint: "/health"
-
-# Webhook Configuration
-webhooks:
-  enabled: true
-  default_url: null  # Optional: default webhook URL for all jobs
-  data_in_payload: false  # Optional: default behavior for including data
-  retry:
-    max_attempts: 5
-    initial_delay_ms: 1000  # 1s, 2s, 4s, 8s, 16s exponential backoff
-    max_delay_ms: 32000
-    timeout_ms: 30000  # 30s timeout per webhook call
-  headers:  # Optional: default headers to include
-    User-Agent: "Crawl4AI-Webhook/1.0"
+    endpoint: "/health"

deploy/docker/crawler_pool.py

@@ -1,170 +1,60 @@
-# crawler_pool.py - Smart browser pool with tiered management
-import asyncio, json, hashlib, time
+# crawler_pool.py  (new file)
+import asyncio, json, hashlib, time, psutil
 from contextlib import suppress
-from typing import Dict, Optional
+from typing import Dict
 from crawl4ai import AsyncWebCrawler, BrowserConfig
-from utils import load_config, get_container_memory_percent
-import logging
+from typing import Dict
+from utils import load_config 
 
-logger = logging.getLogger(__name__)
 CONFIG = load_config()
 
-# Pool tiers
-PERMANENT: Optional[AsyncWebCrawler] = None  # Always-ready default browser
-HOT_POOL: Dict[str, AsyncWebCrawler] = {}    # Frequent configs
-COLD_POOL: Dict[str, AsyncWebCrawler] = {}   # Rare configs
+POOL: Dict[str, AsyncWebCrawler] = {}
 LAST_USED: Dict[str, float] = {}
-USAGE_COUNT: Dict[str, int] = {}
 LOCK = asyncio.Lock()
 
-# Config
-MEM_LIMIT = CONFIG.get("crawler", {}).get("memory_threshold_percent", 95.0)
-BASE_IDLE_TTL = CONFIG.get("crawler", {}).get("pool", {}).get("idle_ttl_sec", 300)
-DEFAULT_CONFIG_SIG = None  # Cached sig for default config
+MEM_LIMIT  = CONFIG.get("crawler", {}).get("memory_threshold_percent", 95.0)   # % RAM – refuse new browsers above this
+IDLE_TTL  = CONFIG.get("crawler", {}).get("pool", {}).get("idle_ttl_sec", 1800)   # close if unused for 30 min
 
 def _sig(cfg: BrowserConfig) -> str:
-    """Generate config signature."""
     payload = json.dumps(cfg.to_dict(), sort_keys=True, separators=(",",":"))
     return hashlib.sha1(payload.encode()).hexdigest()
 
-def _is_default_config(sig: str) -> bool:
-    """Check if config matches default."""
-    return sig == DEFAULT_CONFIG_SIG
-
 async def get_crawler(cfg: BrowserConfig) -> AsyncWebCrawler:
-    """Get crawler from pool with tiered strategy."""
-    sig = _sig(cfg)
-    async with LOCK:
-        # Check permanent browser for default config
-        if PERMANENT and _is_default_config(sig):
+    try:
+        sig = _sig(cfg)
+        async with LOCK:
+            if sig in POOL:
+                LAST_USED[sig] = time.time();  
+                return POOL[sig]
+            if psutil.virtual_memory().percent >= MEM_LIMIT:
+                raise MemoryError("RAM pressure – new browser denied")
+            crawler = AsyncWebCrawler(config=cfg, thread_safe=False)
+            await crawler.start()
+            POOL[sig] = crawler; LAST_USED[sig] = time.time()
+            return crawler
+    except MemoryError as e:
+        raise MemoryError(f"RAM pressure – new browser denied: {e}")
+    except Exception as e:
+        raise RuntimeError(f"Failed to start browser: {e}")
+    finally:
+        if sig in POOL:
             LAST_USED[sig] = time.time()
-            USAGE_COUNT[sig] = USAGE_COUNT.get(sig, 0) + 1
-            logger.info("🔥 Using permanent browser")
-            return PERMANENT
-
-        # Check hot pool
-        if sig in HOT_POOL:
-            LAST_USED[sig] = time.time()
-            USAGE_COUNT[sig] = USAGE_COUNT.get(sig, 0) + 1
-            logger.info(f"♨️  Using hot pool browser (sig={sig[:8]})")
-            return HOT_POOL[sig]
-
-        # Check cold pool (promote to hot if used 3+ times)
-        if sig in COLD_POOL:
-            LAST_USED[sig] = time.time()
-            USAGE_COUNT[sig] = USAGE_COUNT.get(sig, 0) + 1
-
-            if USAGE_COUNT[sig] >= 3:
-                logger.info(f"⬆️  Promoting to hot pool (sig={sig[:8]}, count={USAGE_COUNT[sig]})")
-                HOT_POOL[sig] = COLD_POOL.pop(sig)
-
-                # Track promotion in monitor
-                try:
-                    from monitor import get_monitor
-                    await get_monitor().track_janitor_event("promote", sig, {"count": USAGE_COUNT[sig]})
-                except:
-                    pass
-
-                return HOT_POOL[sig]
-
-            logger.info(f"❄️  Using cold pool browser (sig={sig[:8]})")
-            return COLD_POOL[sig]
-
-        # Memory check before creating new
-        mem_pct = get_container_memory_percent()
-        if mem_pct >= MEM_LIMIT:
-            logger.error(f"💥 Memory pressure: {mem_pct:.1f}% >= {MEM_LIMIT}%")
-            raise MemoryError(f"Memory at {mem_pct:.1f}%, refusing new browser")
-
-        # Create new in cold pool
-        logger.info(f"🆕 Creating new browser in cold pool (sig={sig[:8]}, mem={mem_pct:.1f}%)")
-        crawler = AsyncWebCrawler(config=cfg, thread_safe=False)
-        await crawler.start()
-        COLD_POOL[sig] = crawler
-        LAST_USED[sig] = time.time()
-        USAGE_COUNT[sig] = 1
-        return crawler
-
-async def init_permanent(cfg: BrowserConfig):
-    """Initialize permanent default browser."""
-    global PERMANENT, DEFAULT_CONFIG_SIG
-    async with LOCK:
-        if PERMANENT:
-            return
-        DEFAULT_CONFIG_SIG = _sig(cfg)
-        logger.info("🔥 Creating permanent default browser")
-        PERMANENT = AsyncWebCrawler(config=cfg, thread_safe=False)
-        await PERMANENT.start()
-        LAST_USED[DEFAULT_CONFIG_SIG] = time.time()
-        USAGE_COUNT[DEFAULT_CONFIG_SIG] = 0
-
+        else:
+            # If we failed to start the browser, we should remove it from the pool
+            POOL.pop(sig, None)
+            LAST_USED.pop(sig, None)
+        # If we failed to start the browser, we should remove it from the pool
 async def close_all():
-    """Close all browsers."""
     async with LOCK:
-        tasks = []
-        if PERMANENT:
-            tasks.append(PERMANENT.close())
-        tasks.extend([c.close() for c in HOT_POOL.values()])
-        tasks.extend([c.close() for c in COLD_POOL.values()])
-        await asyncio.gather(*tasks, return_exceptions=True)
-        HOT_POOL.clear()
-        COLD_POOL.clear()
-        LAST_USED.clear()
-        USAGE_COUNT.clear()
+        await asyncio.gather(*(c.close() for c in POOL.values()), return_exceptions=True)
+        POOL.clear(); LAST_USED.clear()
 
 async def janitor():
-    """Adaptive cleanup based on memory pressure."""
     while True:
-        mem_pct = get_container_memory_percent()
-
-        # Adaptive intervals and TTLs
-        if mem_pct > 80:
-            interval, cold_ttl, hot_ttl = 10, 30, 120
-        elif mem_pct > 60:
-            interval, cold_ttl, hot_ttl = 30, 60, 300
-        else:
-            interval, cold_ttl, hot_ttl = 60, BASE_IDLE_TTL, BASE_IDLE_TTL * 2
-
-        await asyncio.sleep(interval)
-
+        await asyncio.sleep(60)
         now = time.time()
         async with LOCK:
-            # Clean cold pool
-            for sig in list(COLD_POOL.keys()):
-                if now - LAST_USED.get(sig, now) > cold_ttl:
-                    idle_time = now - LAST_USED[sig]
-                    logger.info(f"🧹 Closing cold browser (sig={sig[:8]}, idle={idle_time:.0f}s)")
-                    with suppress(Exception):
-                        await COLD_POOL[sig].close()
-                    COLD_POOL.pop(sig, None)
-                    LAST_USED.pop(sig, None)
-                    USAGE_COUNT.pop(sig, None)
-
-                    # Track in monitor
-                    try:
-                        from monitor import get_monitor
-                        await get_monitor().track_janitor_event("close_cold", sig, {"idle_seconds": int(idle_time), "ttl": cold_ttl})
-                    except:
-                        pass
-
-            # Clean hot pool (more conservative)
-            for sig in list(HOT_POOL.keys()):
-                if now - LAST_USED.get(sig, now) > hot_ttl:
-                    idle_time = now - LAST_USED[sig]
-                    logger.info(f"🧹 Closing hot browser (sig={sig[:8]}, idle={idle_time:.0f}s)")
-                    with suppress(Exception):
-                        await HOT_POOL[sig].close()
-                    HOT_POOL.pop(sig, None)
-                    LAST_USED.pop(sig, None)
-                    USAGE_COUNT.pop(sig, None)
-
-                    # Track in monitor
-                    try:
-                        from monitor import get_monitor
-                        await get_monitor().track_janitor_event("close_hot", sig, {"idle_seconds": int(idle_time), "ttl": hot_ttl})
-                    except:
-                        pass
-
-            # Log pool stats
-            if mem_pct > 60:
-                logger.info(f"📊 Pool: hot={len(HOT_POOL)}, cold={len(COLD_POOL)}, mem={mem_pct:.1f}%")
+            for sig, crawler in list(POOL.items()):
+                if now - LAST_USED[sig] > IDLE_TTL:
+                    with suppress(Exception): await crawler.close()
+                    POOL.pop(sig, None); LAST_USED.pop(sig, None)

deploy/docker/docs/STRESS_TEST_PIPELINE.md

@@ -1,241 +0,0 @@
-# Crawl4AI Docker Memory & Pool Optimization - Implementation Log
-
-## Critical Issues Identified
-
-### Memory Management
-- **Host vs Container**: `psutil.virtual_memory()` reported host memory, not container limits
-- **Browser Pooling**: No pool reuse - every endpoint created new browsers
-- **Warmup Waste**: Permanent browser sat idle with mismatched config signature
-- **Idle Cleanup**: 30min TTL too long, janitor ran every 60s
-- **Endpoint Inconsistency**: 75% of endpoints bypassed pool (`/md`, `/html`, `/screenshot`, `/pdf`, `/execute_js`, `/llm`)
-
-### Pool Design Flaws
-- **Config Mismatch**: Permanent browser used `config.yml` args, endpoints used empty `BrowserConfig()`
-- **Logging Level**: Pool hit markers at DEBUG, invisible with INFO logging
-
-## Implementation Changes
-
-### 1. Container-Aware Memory Detection (`utils.py`)
-```python
-def get_container_memory_percent() -> float:
-    # Try cgroup v2 → v1 → fallback to psutil
-    # Reads /sys/fs/cgroup/memory.{current,max} OR memory/memory.{usage,limit}_in_bytes
-```
-
-### 2. Smart Browser Pool (`crawler_pool.py`)
-**3-Tier System:**
-- **PERMANENT**: Always-ready default browser (never cleaned)
-- **HOT_POOL**: Configs used 3+ times (longer TTL)
-- **COLD_POOL**: New/rare configs (short TTL)
-
-**Key Functions:**
-- `get_crawler(cfg)`: Check permanent → hot → cold → create new
-- `init_permanent(cfg)`: Initialize permanent at startup
-- `janitor()`: Adaptive cleanup (10s/30s/60s intervals based on memory)
-- `_sig(cfg)`: SHA1 hash of config dict for pool keys
-
-**Logging Fix**: Changed `logger.debug()` → `logger.info()` for pool hits
-
-### 3. Endpoint Unification
-**Helper Function** (`server.py`):
-```python
-def get_default_browser_config() -> BrowserConfig:
-    return BrowserConfig(
-        extra_args=config["crawler"]["browser"].get("extra_args", []),
-        **config["crawler"]["browser"].get("kwargs", {}),
-    )
-```
-
-**Migrated Endpoints:**
-- `/html`, `/screenshot`, `/pdf`, `/execute_js` → use `get_default_browser_config()`
-- `handle_llm_qa()`, `handle_markdown_request()` → same
-
-**Result**: All endpoints now hit permanent browser pool
-
-### 4. Config Updates (`config.yml`)
-- `idle_ttl_sec: 1800` → `300` (30min → 5min base TTL)
-- `port: 11234` → `11235` (fixed mismatch with Gunicorn)
-
-### 5. Lifespan Fix (`server.py`)
-```python
-await init_permanent(BrowserConfig(
-    extra_args=config["crawler"]["browser"].get("extra_args", []),
-    **config["crawler"]["browser"].get("kwargs", {}),
-))
-```
-Permanent browser now matches endpoint config signatures
-
-## Test Results
-
-### Test 1: Basic Health
-- 10 requests to `/health`
-- **Result**: 100% success, avg 3ms latency
-- **Baseline**: Container starts in ~5s, 270 MB idle
-
-### Test 2: Memory Monitoring
-- 20 requests with Docker stats tracking
-- **Result**: 100% success, no memory leak (-0.2 MB delta)
-- **Baseline**: 269.7 MB container overhead
-
-### Test 3: Pool Validation
-- 30 requests to `/html` endpoint
-- **Result**: **100% permanent browser hits**, 0 new browsers created
-- **Memory**: 287 MB baseline → 396 MB active (+109 MB)
-- **Latency**: Avg 4s (includes network to httpbin.org)
-
-### Test 4: Concurrent Load
-- Light (10) → Medium (50) → Heavy (100) concurrent
-- **Total**: 320 requests
-- **Result**: 100% success, **320/320 permanent hits**, 0 new browsers
-- **Memory**: 269 MB → peak 1533 MB → final 993 MB
-- **Latency**: P99 at 100 concurrent = 34s (expected with single browser)
-
-### Test 5: Pool Stress (Mixed Configs)
-- 20 requests with 4 different viewport configs
-- **Result**: 4 new browsers, 4 cold hits, **4 promotions to hot**, 8 hot hits
-- **Reuse Rate**: 60% (12 pool hits / 20 requests)
-- **Memory**: 270 MB → 928 MB peak (+658 MB = ~165 MB per browser)
-- **Proves**: Cold → hot promotion at 3 uses working perfectly
-
-### Test 6: Multi-Endpoint
-- 10 requests each: `/html`, `/screenshot`, `/pdf`, `/crawl`
-- **Result**: 100% success across all 4 endpoints
-- **Latency**: 5-8s avg (PDF slowest at 7.2s)
-
-### Test 7: Cleanup Verification
-- 20 requests (load spike) → 90s idle
-- **Memory**: 269 MB → peak 1107 MB → final 780 MB
-- **Recovery**: 327 MB (39%) - partial cleanup
-- **Note**: Hot pool browsers persist (by design), janitor working correctly
-
-## Performance Metrics
-
-| Metric | Before | After | Improvement |
-|--------|--------|-------|-------------|
-| Pool Reuse | 0% | 100% (default config) | ∞ |
-| Memory Leak | Unknown | 0 MB/cycle | Stable |
-| Browser Reuse | No | Yes | ~3-5s saved per request |
-| Idle Memory | 500-700 MB × N | 270-400 MB | 10x reduction |
-| Concurrent Capacity | ~20 | 100+ | 5x |
-
-## Key Learnings
-
-1. **Config Signature Matching**: Permanent browser MUST match endpoint default config exactly (SHA1 hash)
-2. **Logging Levels**: Pool diagnostics need INFO level, not DEBUG
-3. **Memory in Docker**: Must read cgroup files, not host metrics
-4. **Janitor Timing**: 60s interval adequate, but TTLs should be short (5min) for cold pool
-5. **Hot Promotion**: 3-use threshold works well for production patterns
-6. **Memory Per Browser**: ~150-200 MB per Chromium instance with headless + text_mode
-
-## Test Infrastructure
-
-**Location**: `deploy/docker/tests/`
-**Dependencies**: `httpx`, `docker` (Python SDK)
-**Pattern**: Sequential build - each test adds one capability
-
-**Files**:
-- `test_1_basic.py`: Health check + container lifecycle
-- `test_2_memory.py`: + Docker stats monitoring
-- `test_3_pool.py`: + Log analysis for pool markers
-- `test_4_concurrent.py`: + asyncio.Semaphore for concurrency control
-- `test_5_pool_stress.py`: + Config variants (viewports)
-- `test_6_multi_endpoint.py`: + Multiple endpoint testing
-- `test_7_cleanup.py`: + Time-series memory tracking for janitor
-
-**Run Pattern**:
-```bash
-cd deploy/docker/tests
-pip install -r requirements.txt
-# Rebuild after code changes:
-cd /path/to/repo && docker buildx build -t crawl4ai-local:latest --load .
-# Run test:
-python test_N_name.py
-```
-
-## Architecture Decisions
-
-**Why Permanent Browser?**
-- 90% of requests use default config → single browser serves most traffic
-- Eliminates 3-5s startup overhead per request
-
-**Why 3-Tier Pool?**
-- Permanent: Zero cost for common case
-- Hot: Amortized cost for frequent variants
-- Cold: Lazy allocation for rare configs
-
-**Why Adaptive Janitor?**
-- Memory pressure triggers aggressive cleanup
-- Low memory allows longer TTLs for better reuse
-
-**Why Not Close After Each Request?**
-- Browser startup: 3-5s overhead
-- Pool reuse: <100ms overhead
-- Net: 30-50x faster
-
-## Future Optimizations
-
-1. **Request Queuing**: When at capacity, queue instead of reject
-2. **Pre-warming**: Predict common configs, pre-create browsers
-3. **Metrics Export**: Prometheus metrics for pool efficiency
-4. **Config Normalization**: Group similar viewports (e.g., 1920±50 → 1920)
-
-## Critical Code Paths
-
-**Browser Acquisition** (`crawler_pool.py:34-78`):
-```
-get_crawler(cfg) →
-  _sig(cfg) →
-  if sig == DEFAULT_CONFIG_SIG → PERMANENT
-  elif sig in HOT_POOL → HOT_POOL[sig]
-  elif sig in COLD_POOL → promote if count >= 3
-  else → create new in COLD_POOL
-```
-
-**Janitor Loop** (`crawler_pool.py:107-146`):
-```
-while True:
-  mem% = get_container_memory_percent()
-  if mem% > 80: interval=10s, cold_ttl=30s
-  elif mem% > 60: interval=30s, cold_ttl=60s
-  else: interval=60s, cold_ttl=300s
-  sleep(interval)
-  close idle browsers (COLD then HOT)
-```
-
-**Endpoint Pattern** (`server.py` example):
-```python
-@app.post("/html")
-async def generate_html(...):
-    from crawler_pool import get_crawler
-    crawler = await get_crawler(get_default_browser_config())
-    results = await crawler.arun(url=body.url, config=cfg)
-    # No crawler.close() - returned to pool
-```
-
-## Debugging Tips
-
-**Check Pool Activity**:
-```bash
-docker logs crawl4ai-test | grep -E "(🔥|♨️|❄️|🆕|⬆️)"
-```
-
-**Verify Config Signature**:
-```python
-from crawl4ai import BrowserConfig
-import json, hashlib
-cfg = BrowserConfig(...)
-sig = hashlib.sha1(json.dumps(cfg.to_dict(), sort_keys=True).encode()).hexdigest()
-print(sig[:8])  # Compare with logs
-```
-
-**Monitor Memory**:
-```bash
-docker stats crawl4ai-test
-```
-
-## Known Limitations
-
-- **Mac Docker Stats**: CPU metrics unreliable, memory works
-- **PDF Generation**: Slowest endpoint (~7s), no optimization yet
-- **Hot Pool Persistence**: May hold memory longer than needed (trade-off for performance)
-- **Janitor Lag**: Up to 60s before cleanup triggers in low-memory scenarios

deploy/docker/hook_manager.py

@@ -1,512 +0,0 @@
-"""
-Hook Manager for User-Provided Hook Functions
-Handles validation, compilation, and safe execution of user-provided hook code
-"""
-
-import ast
-import asyncio
-import traceback
-from typing import Dict, Callable, Optional, Tuple, List, Any
-import logging
-
-logger = logging.getLogger(__name__)
-
-
-class UserHookManager:
-    """Manages user-provided hook functions with error isolation"""
-    
-    # Expected signatures for each hook point
-    HOOK_SIGNATURES = {
-        "on_browser_created": ["browser"],
-        "on_page_context_created": ["page", "context"],
-        "before_goto": ["page", "context", "url"],
-        "after_goto": ["page", "context", "url", "response"],
-        "on_user_agent_updated": ["page", "context", "user_agent"],
-        "on_execution_started": ["page", "context"],
-        "before_retrieve_html": ["page", "context"],
-        "before_return_html": ["page", "context", "html"]
-    }
-    
-    # Default timeout for hook execution (in seconds)
-    DEFAULT_TIMEOUT = 30
-    
-    def __init__(self, timeout: int = DEFAULT_TIMEOUT):
-        self.timeout = timeout
-        self.errors: List[Dict[str, Any]] = []
-        self.compiled_hooks: Dict[str, Callable] = {}
-        self.execution_log: List[Dict[str, Any]] = []
-    
-    def validate_hook_structure(self, hook_code: str, hook_point: str) -> Tuple[bool, str]:
-        """
-        Validate the structure of user-provided hook code
-        
-        Args:
-            hook_code: The Python code string containing the hook function
-            hook_point: The hook point name (e.g., 'on_page_context_created')
-            
-        Returns:
-            Tuple of (is_valid, error_message)
-        """
-        try:
-            # Parse the code
-            tree = ast.parse(hook_code)
-            
-            # Check if it's empty
-            if not tree.body:
-                return False, "Hook code is empty"
-            
-            # Find the function definition
-            func_def = None
-            for node in tree.body:
-                if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
-                    func_def = node
-                    break
-            
-            if not func_def:
-                return False, "Hook must contain a function definition (def or async def)"
-            
-            # Check if it's async (all hooks should be async)
-            if not isinstance(func_def, ast.AsyncFunctionDef):
-                return False, f"Hook function must be async (use 'async def' instead of 'def')"
-            
-            # Get function name for better error messages
-            func_name = func_def.name
-            
-            # Validate parameters
-            expected_params = self.HOOK_SIGNATURES.get(hook_point, [])
-            if not expected_params:
-                return False, f"Unknown hook point: {hook_point}"
-            
-            func_params = [arg.arg for arg in func_def.args.args]
-            
-            # Check if it has **kwargs for flexibility
-            has_kwargs = func_def.args.kwarg is not None
-            
-            # Must have at least the expected parameters
-            missing_params = []
-            for expected in expected_params:
-                if expected not in func_params:
-                    missing_params.append(expected)
-            
-            if missing_params and not has_kwargs:
-                return False, f"Hook function '{func_name}' must accept parameters: {', '.join(expected_params)} (missing: {', '.join(missing_params)})"
-            
-            # Check if it returns something (should return page or browser)
-            has_return = any(isinstance(node, ast.Return) for node in ast.walk(func_def))
-            if not has_return:
-                # Warning, not error - we'll handle this
-                logger.warning(f"Hook function '{func_name}' should return the {expected_params[0]} object")
-            
-            return True, "Valid"
-            
-        except SyntaxError as e:
-            return False, f"Syntax error at line {e.lineno}: {str(e)}"
-        except Exception as e:
-            return False, f"Failed to parse hook code: {str(e)}"
-    
-    def compile_hook(self, hook_code: str, hook_point: str) -> Optional[Callable]:
-        """
-        Compile user-provided hook code into a callable function
-        
-        Args:
-            hook_code: The Python code string
-            hook_point: The hook point name
-            
-        Returns:
-            Compiled function or None if compilation failed
-        """
-        try:
-            # Create a safe namespace for the hook
-            # Use a more complete builtins that includes __import__
-            import builtins
-            safe_builtins = {}
-            
-            # Add safe built-in functions
-            allowed_builtins = [
-                'print', 'len', 'str', 'int', 'float', 'bool',
-                'list', 'dict', 'set', 'tuple', 'range', 'enumerate',
-                'zip', 'map', 'filter', 'any', 'all', 'sum', 'min', 'max',
-                'sorted', 'reversed', 'abs', 'round', 'isinstance', 'type',
-                'getattr', 'hasattr', 'setattr', 'callable', 'iter', 'next',
-                '__import__', '__build_class__'  # Required for exec
-            ]
-            
-            for name in allowed_builtins:
-                if hasattr(builtins, name):
-                    safe_builtins[name] = getattr(builtins, name)
-            
-            namespace = {
-                '__name__': f'user_hook_{hook_point}',
-                '__builtins__': safe_builtins
-            }
-            
-            # Add commonly needed imports
-            exec("import asyncio", namespace)
-            exec("import json", namespace)
-            exec("import re", namespace)
-            exec("from typing import Dict, List, Optional", namespace)
-            
-            # Execute the code to define the function
-            exec(hook_code, namespace)
-            
-            # Find the async function in the namespace
-            for name, obj in namespace.items():
-                if callable(obj) and not name.startswith('_') and asyncio.iscoroutinefunction(obj):
-                    return obj
-            
-            # If no async function found, look for any function
-            for name, obj in namespace.items():
-                if callable(obj) and not name.startswith('_'):
-                    logger.warning(f"Found non-async function '{name}' - wrapping it")
-                    # Wrap sync function in async
-                    async def async_wrapper(*args, **kwargs):
-                        return obj(*args, **kwargs)
-                    return async_wrapper
-            
-            raise ValueError("No callable function found in hook code")
-            
-        except Exception as e:
-            error = {
-                'hook_point': hook_point,
-                'error': f"Failed to compile hook: {str(e)}",
-                'type': 'compilation_error',
-                'traceback': traceback.format_exc()
-            }
-            self.errors.append(error)
-            logger.error(f"Hook compilation failed for {hook_point}: {str(e)}")
-            return None
-    
-    async def execute_hook_safely(
-        self, 
-        hook_func: Callable, 
-        hook_point: str,
-        *args, 
-        **kwargs
-    ) -> Tuple[Any, Optional[Dict]]:
-        """
-        Execute a user hook with error isolation and timeout
-        
-        Args:
-            hook_func: The compiled hook function
-            hook_point: The hook point name
-            *args, **kwargs: Arguments to pass to the hook
-            
-        Returns:
-            Tuple of (result, error_dict)
-        """
-        start_time = asyncio.get_event_loop().time()
-        
-        try:
-            # Add timeout to prevent infinite loops
-            result = await asyncio.wait_for(
-                hook_func(*args, **kwargs),
-                timeout=self.timeout
-            )
-            
-            # Log successful execution
-            execution_time = asyncio.get_event_loop().time() - start_time
-            self.execution_log.append({
-                'hook_point': hook_point,
-                'status': 'success',
-                'execution_time': execution_time,
-                'timestamp': start_time
-            })
-            
-            return result, None
-            
-        except asyncio.TimeoutError:
-            error = {
-                'hook_point': hook_point,
-                'error': f'Hook execution timed out ({self.timeout}s limit)',
-                'type': 'timeout',
-                'execution_time': self.timeout
-            }
-            self.errors.append(error)
-            self.execution_log.append({
-                'hook_point': hook_point,
-                'status': 'timeout',
-                'error': error['error'],
-                'execution_time': self.timeout,
-                'timestamp': start_time
-            })
-            # Return the first argument (usually page/browser) to continue
-            return args[0] if args else None, error
-            
-        except Exception as e:
-            execution_time = asyncio.get_event_loop().time() - start_time
-            error = {
-                'hook_point': hook_point,
-                'error': str(e),
-                'type': type(e).__name__,
-                'traceback': traceback.format_exc(),
-                'execution_time': execution_time
-            }
-            self.errors.append(error)
-            self.execution_log.append({
-                'hook_point': hook_point,
-                'status': 'failed',
-                'error': str(e),
-                'error_type': type(e).__name__,
-                'execution_time': execution_time,
-                'timestamp': start_time
-            })
-            # Return the first argument (usually page/browser) to continue
-            return args[0] if args else None, error
-    
-    def get_summary(self) -> Dict[str, Any]:
-        """Get a summary of hook execution"""
-        total_hooks = len(self.execution_log)
-        successful = sum(1 for log in self.execution_log if log['status'] == 'success')
-        failed = sum(1 for log in self.execution_log if log['status'] == 'failed')
-        timed_out = sum(1 for log in self.execution_log if log['status'] == 'timeout')
-        
-        return {
-            'total_executions': total_hooks,
-            'successful': successful,
-            'failed': failed,
-            'timed_out': timed_out,
-            'success_rate': (successful / total_hooks * 100) if total_hooks > 0 else 0,
-            'total_errors': len(self.errors)
-        }
-
-
-class IsolatedHookWrapper:
-    """Wraps user hooks with error isolation and reporting"""
-    
-    def __init__(self, hook_manager: UserHookManager):
-        self.hook_manager = hook_manager
-    
-    def create_hook_wrapper(self, user_hook: Callable, hook_point: str) -> Callable:
-        """
-        Create a wrapper that isolates hook errors from main process
-        
-        Args:
-            user_hook: The compiled user hook function
-            hook_point: The hook point name
-            
-        Returns:
-            Wrapped async function that handles errors gracefully
-        """
-        
-        async def wrapped_hook(*args, **kwargs):
-            """Wrapped hook with error isolation"""
-            # Get the main return object (page/browser)
-            # This ensures we always have something to return
-            return_obj = None
-            if args:
-                return_obj = args[0]
-            elif 'page' in kwargs:
-                return_obj = kwargs['page']
-            elif 'browser' in kwargs:
-                return_obj = kwargs['browser']
-            
-            try:
-                # Execute user hook with safety
-                result, error = await self.hook_manager.execute_hook_safely(
-                    user_hook, 
-                    hook_point,
-                    *args, 
-                    **kwargs
-                )
-                
-                if error:
-                    # Hook failed but we continue with original object
-                    logger.warning(f"User hook failed at {hook_point}: {error['error']}")
-                    return return_obj
-                
-                # Hook succeeded - return its result or the original object
-                if result is None:
-                    logger.debug(f"Hook at {hook_point} returned None, using original object")
-                    return return_obj
-                
-                return result
-                
-            except Exception as e:
-                # This should rarely happen due to execute_hook_safely
-                logger.error(f"Unexpected error in hook wrapper for {hook_point}: {e}")
-                return return_obj
-        
-        # Set function name for debugging
-        wrapped_hook.__name__ = f"wrapped_{hook_point}"
-        return wrapped_hook
-
-
-async def process_user_hooks(
-    hooks_input: Dict[str, str],
-    timeout: int = 30
-) -> Tuple[Dict[str, Callable], List[Dict], UserHookManager]:
-    """
-    Process and compile user-provided hook functions
-    
-    Args:
-        hooks_input: Dictionary mapping hook points to code strings
-        timeout: Timeout for each hook execution
-        
-    Returns:
-        Tuple of (compiled_hooks, validation_errors, hook_manager)
-    """
-    
-    hook_manager = UserHookManager(timeout=timeout)
-    wrapper = IsolatedHookWrapper(hook_manager)
-    compiled_hooks = {}
-    validation_errors = []
-    
-    for hook_point, hook_code in hooks_input.items():
-        # Skip empty hooks
-        if not hook_code or not hook_code.strip():
-            continue
-        
-        # Validate hook point
-        if hook_point not in UserHookManager.HOOK_SIGNATURES:
-            validation_errors.append({
-                'hook_point': hook_point,
-                'error': f'Unknown hook point. Valid points: {", ".join(UserHookManager.HOOK_SIGNATURES.keys())}',
-                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
-            })
-            continue
-        
-        # Validate structure
-        is_valid, message = hook_manager.validate_hook_structure(hook_code, hook_point)
-        if not is_valid:
-            validation_errors.append({
-                'hook_point': hook_point,
-                'error': message,
-                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
-            })
-            continue
-        
-        # Compile the hook
-        hook_func = hook_manager.compile_hook(hook_code, hook_point)
-        if hook_func:
-            # Wrap with error isolation
-            wrapped_hook = wrapper.create_hook_wrapper(hook_func, hook_point)
-            compiled_hooks[hook_point] = wrapped_hook
-            logger.info(f"Successfully compiled hook for {hook_point}")
-        else:
-            validation_errors.append({
-                'hook_point': hook_point,
-                'error': 'Failed to compile hook function - check syntax and structure',
-                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
-            })
-    
-    return compiled_hooks, validation_errors, hook_manager
-
-
-async def process_user_hooks_with_manager(
-    hooks_input: Dict[str, str],
-    hook_manager: UserHookManager
-) -> Tuple[Dict[str, Callable], List[Dict]]:
-    """
-    Process and compile user-provided hook functions with existing manager
-    
-    Args:
-        hooks_input: Dictionary mapping hook points to code strings
-        hook_manager: Existing UserHookManager instance
-        
-    Returns:
-        Tuple of (compiled_hooks, validation_errors)
-    """
-    
-    wrapper = IsolatedHookWrapper(hook_manager)
-    compiled_hooks = {}
-    validation_errors = []
-    
-    for hook_point, hook_code in hooks_input.items():
-        # Skip empty hooks
-        if not hook_code or not hook_code.strip():
-            continue
-        
-        # Validate hook point
-        if hook_point not in UserHookManager.HOOK_SIGNATURES:
-            validation_errors.append({
-                'hook_point': hook_point,
-                'error': f'Unknown hook point. Valid points: {", ".join(UserHookManager.HOOK_SIGNATURES.keys())}',
-                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
-            })
-            continue
-        
-        # Validate structure
-        is_valid, message = hook_manager.validate_hook_structure(hook_code, hook_point)
-        if not is_valid:
-            validation_errors.append({
-                'hook_point': hook_point,
-                'error': message,
-                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
-            })
-            continue
-        
-        # Compile the hook
-        hook_func = hook_manager.compile_hook(hook_code, hook_point)
-        if hook_func:
-            # Wrap with error isolation
-            wrapped_hook = wrapper.create_hook_wrapper(hook_func, hook_point)
-            compiled_hooks[hook_point] = wrapped_hook
-            logger.info(f"Successfully compiled hook for {hook_point}")
-        else:
-            validation_errors.append({
-                'hook_point': hook_point,
-                'error': 'Failed to compile hook function - check syntax and structure',
-                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
-            })
-    
-    return compiled_hooks, validation_errors
-
-
-async def attach_user_hooks_to_crawler(
-    crawler,  # AsyncWebCrawler instance
-    user_hooks: Dict[str, str],
-    timeout: int = 30,
-    hook_manager: Optional[UserHookManager] = None
-) -> Tuple[Dict[str, Any], UserHookManager]:
-    """
-    Attach user-provided hooks to crawler with full error reporting
-    
-    Args:
-        crawler: AsyncWebCrawler instance
-        user_hooks: Dictionary mapping hook points to code strings
-        timeout: Timeout for each hook execution
-        hook_manager: Optional existing UserHookManager instance
-        
-    Returns:
-        Tuple of (status_dict, hook_manager)
-    """
-    
-    # Use provided hook_manager or create a new one
-    if hook_manager is None:
-        hook_manager = UserHookManager(timeout=timeout)
-    
-    # Process hooks with the hook_manager
-    compiled_hooks, validation_errors = await process_user_hooks_with_manager(
-        user_hooks, hook_manager
-    )
-    
-    # Log validation errors
-    if validation_errors:
-        logger.warning(f"Hook validation errors: {validation_errors}")
-    
-    # Attach successfully compiled hooks
-    attached_hooks = []
-    for hook_point, wrapped_hook in compiled_hooks.items():
-        try:
-            crawler.crawler_strategy.set_hook(hook_point, wrapped_hook)
-            attached_hooks.append(hook_point)
-            logger.info(f"Attached hook to {hook_point}")
-        except Exception as e:
-            logger.error(f"Failed to attach hook to {hook_point}: {e}")
-            validation_errors.append({
-                'hook_point': hook_point,
-                'error': f'Failed to attach hook: {str(e)}'
-            })
-    
-    status = 'success' if not validation_errors else ('partial' if attached_hooks else 'failed')
-    
-    status_dict = {
-        'status': status,
-        'attached_hooks': attached_hooks,
-        'validation_errors': validation_errors,
-        'total_hooks_provided': len(user_hooks),
-        'successfully_attached': len(attached_hooks),
-        'failed_validation': len(validation_errors)
-    }
-    
-    return status_dict, hook_manager

deploy/docker/job.py

@@ -12,7 +12,6 @@ from api import (
     handle_crawl_job,
     handle_task_status,
 )
-from schemas import WebhookConfig
 
 # ------------- dependency placeholders -------------
 _redis = None        # will be injected from server.py
@@ -38,16 +37,12 @@ class LlmJobPayload(BaseModel):
     schema: Optional[str] = None
     cache:  bool = False
     provider: Optional[str] = None
-    webhook_config: Optional[WebhookConfig] = None
-    temperature: Optional[float] = None
-    base_url: Optional[str] = None
 
 
 class CrawlJobPayload(BaseModel):
     urls:           list[HttpUrl]
     browser_config: Dict = {}
     crawler_config: Dict = {}
-    webhook_config: Optional[WebhookConfig] = None
 
 
 # ---------- LL​M job ---------------------------------------------------------
@@ -58,10 +53,6 @@ async def llm_job_enqueue(
         request: Request,
         _td: Dict = Depends(lambda: _token_dep()),   # late-bound dep
 ):
-    webhook_config = None
-    if payload.webhook_config:
-        webhook_config = payload.webhook_config.model_dump(mode='json')
-
     return await handle_llm_request(
         _redis,
         background_tasks,
@@ -72,9 +63,6 @@ async def llm_job_enqueue(
         cache=payload.cache,
         config=_config,
         provider=payload.provider,
-        webhook_config=webhook_config,
-        temperature=payload.temperature,
-        api_base_url=payload.base_url,
     )
 
 
@@ -84,7 +72,7 @@ async def llm_job_status(
     task_id: str,
     _td: Dict = Depends(lambda: _token_dep())
 ):
-    return await handle_task_status(_redis, task_id, base_url=str(request.base_url))
+    return await handle_task_status(_redis, task_id)
 
 
 # ---------- CRAWL job -------------------------------------------------------
@@ -94,10 +82,6 @@ async def crawl_job_enqueue(
         background_tasks: BackgroundTasks,
         _td: Dict = Depends(lambda: _token_dep()),
 ):
-    webhook_config = None
-    if payload.webhook_config:
-        webhook_config = payload.webhook_config.model_dump(mode='json')
-
     return await handle_crawl_job(
         _redis,
         background_tasks,
@@ -105,7 +89,6 @@ async def crawl_job_enqueue(
         payload.browser_config,
         payload.crawler_config,
         config=_config,
-        webhook_config=webhook_config,
     )
 
 

deploy/docker/monitor.py

@@ -1,663 +0,0 @@
-# monitor.py - Real-time monitoring stats with Redis persistence
-import time
-import json
-import asyncio
-from typing import Dict, List, Optional
-from datetime import datetime, timezone
-from collections import deque
-from dataclasses import dataclass
-from redis import asyncio as aioredis
-from utils import get_container_memory_percent
-import psutil
-import logging
-
-logger = logging.getLogger(__name__)
-
-
-# ========== Configuration ==========
-
-@dataclass
-class RedisTTLConfig:
-    """Redis TTL configuration (in seconds).
-
-    Configures how long different types of monitoring data are retained in Redis.
-    Adjust based on your monitoring needs and Redis memory constraints.
-    """
-    active_requests: int = 300  # 5 minutes - short-lived active request data
-    completed_requests: int = 3600  # 1 hour - recent completed requests
-    janitor_events: int = 3600  # 1 hour - browser cleanup events
-    errors: int = 3600  # 1 hour - error logs
-    endpoint_stats: int = 86400  # 24 hours - aggregated endpoint statistics
-    heartbeat: int = 60  # 1 minute - container heartbeat (2x the 30s interval)
-
-    @classmethod
-    def from_env(cls) -> 'RedisTTLConfig':
-        """Load TTL configuration from environment variables."""
-        import os
-        return cls(
-            active_requests=int(os.getenv('REDIS_TTL_ACTIVE_REQUESTS', 300)),
-            completed_requests=int(os.getenv('REDIS_TTL_COMPLETED_REQUESTS', 3600)),
-            janitor_events=int(os.getenv('REDIS_TTL_JANITOR_EVENTS', 3600)),
-            errors=int(os.getenv('REDIS_TTL_ERRORS', 3600)),
-            endpoint_stats=int(os.getenv('REDIS_TTL_ENDPOINT_STATS', 86400)),
-            heartbeat=int(os.getenv('REDIS_TTL_HEARTBEAT', 60)),
-        )
-
-
-class MonitorStats:
-    """Tracks real-time server stats with Redis persistence."""
-
-    def __init__(self, redis: aioredis.Redis, ttl_config: Optional[RedisTTLConfig] = None):
-        self.redis = redis
-        self.ttl = ttl_config or RedisTTLConfig.from_env()
-        self.start_time = time.time()
-
-        # Get container ID for Redis keys
-        from utils import get_container_id
-        self.container_id = get_container_id()
-
-        # In-memory queues (fast reads, Redis backup)
-        self.active_requests: Dict[str, Dict] = {}  # id -> request info
-        self.completed_requests: deque = deque(maxlen=100)  # Last 100
-        self.janitor_events: deque = deque(maxlen=100)
-        self.errors: deque = deque(maxlen=100)
-
-        # Endpoint stats (persisted in Redis)
-        self.endpoint_stats: Dict[str, Dict] = {}  # endpoint -> {count, total_time, errors, ...}
-
-        # Background persistence queue (max 10 pending persist requests)
-        self._persist_queue: asyncio.Queue = asyncio.Queue(maxsize=10)
-        self._persist_worker_task: Optional[asyncio.Task] = None
-
-        # Heartbeat task for container discovery
-        self._heartbeat_task: Optional[asyncio.Task] = None
-
-        # Timeline data (5min window, 5s resolution = 60 points)
-        self.memory_timeline: deque = deque(maxlen=60)
-        self.requests_timeline: deque = deque(maxlen=60)
-        self.browser_timeline: deque = deque(maxlen=60)
-
-    async def track_request_start(self, request_id: str, endpoint: str, url: str, config: Dict = None):
-        """Track new request start."""
-        req_info = {
-            "id": request_id,
-            "endpoint": endpoint,
-            "url": url[:100],  # Truncate long URLs
-            "start_time": time.time(),
-            "config_sig": config.get("sig", "default") if config else "default",
-            "mem_start": psutil.Process().memory_info().rss / (1024 * 1024),
-            "container_id": self.container_id
-        }
-        self.active_requests[request_id] = req_info
-
-        # Persist to Redis
-        await self._persist_active_requests()
-
-        # Increment endpoint counter
-        if endpoint not in self.endpoint_stats:
-            self.endpoint_stats[endpoint] = {
-                "count": 0, "total_time": 0, "errors": 0,
-                "pool_hits": 0, "success": 0
-            }
-        self.endpoint_stats[endpoint]["count"] += 1
-
-        # Queue persistence (handled by background worker)
-        try:
-            self._persist_queue.put_nowait(True)
-        except asyncio.QueueFull:
-            logger.warning("Persistence queue full, skipping")
-
-    async def track_request_end(self, request_id: str, success: bool, error: str = None,
-                               pool_hit: bool = True, status_code: int = 200):
-        """Track request completion."""
-        if request_id not in self.active_requests:
-            return
-
-        req_info = self.active_requests.pop(request_id)
-        end_time = time.time()
-        elapsed = end_time - req_info["start_time"]
-        mem_end = psutil.Process().memory_info().rss / (1024 * 1024)
-        mem_delta = mem_end - req_info["mem_start"]
-
-        # Update stats
-        endpoint = req_info["endpoint"]
-        if endpoint in self.endpoint_stats:
-            self.endpoint_stats[endpoint]["total_time"] += elapsed
-            if success:
-                self.endpoint_stats[endpoint]["success"] += 1
-            else:
-                self.endpoint_stats[endpoint]["errors"] += 1
-            if pool_hit:
-                self.endpoint_stats[endpoint]["pool_hits"] += 1
-
-        # Add to completed queue
-        completed = {
-            **req_info,
-            "end_time": end_time,
-            "elapsed": round(elapsed, 2),
-            "mem_delta": round(mem_delta, 1),
-            "success": success,
-            "error": error,
-            "status_code": status_code,
-            "pool_hit": pool_hit,
-            "container_id": self.container_id
-        }
-        self.completed_requests.append(completed)
-
-        # Persist to Redis
-        await self._persist_completed_requests()
-        await self._persist_active_requests()  # Update active (removed this request)
-
-        # Track errors
-        if not success and error:
-            error_entry = {
-                "timestamp": end_time,
-                "endpoint": endpoint,
-                "url": req_info["url"],
-                "error": error,
-                "request_id": request_id,
-                "message": error,
-                "level": "ERROR",
-                "container_id": self.container_id
-            }
-            self.errors.append(error_entry)
-            await self._persist_errors()
-
-        await self._persist_endpoint_stats()
-
-    async def track_janitor_event(self, event_type: str, sig: str, details: Dict):
-        """Track janitor cleanup events."""
-        self.janitor_events.append({
-            "timestamp": time.time(),
-            "type": event_type,  # "close_cold", "close_hot", "promote"
-            "sig": sig[:8],
-            "details": details,
-            "container_id": self.container_id
-        })
-        await self._persist_janitor_events()
-
-    def _cleanup_old_entries(self, max_age_seconds: int = 300):
-        """Remove entries older than max_age_seconds (default 5min)."""
-        now = time.time()
-        cutoff = now - max_age_seconds
-
-        # Clean completed requests
-        while self.completed_requests and self.completed_requests[0].get("end_time", 0) < cutoff:
-            self.completed_requests.popleft()
-
-        # Clean janitor events
-        while self.janitor_events and self.janitor_events[0].get("timestamp", 0) < cutoff:
-            self.janitor_events.popleft()
-
-        # Clean errors
-        while self.errors and self.errors[0].get("timestamp", 0) < cutoff:
-            self.errors.popleft()
-
-    async def update_timeline(self):
-        """Update timeline data points (called every 5s)."""
-        now = time.time()
-        mem_pct = get_container_memory_percent()
-
-        # Clean old entries (keep last 5 minutes)
-        self._cleanup_old_entries(max_age_seconds=300)
-
-        # Count requests in last 5s
-        recent_reqs = sum(1 for req in self.completed_requests
-                         if now - req.get("end_time", 0) < 5)
-
-        # Browser counts (acquire lock with timeout to prevent deadlock)
-        from crawler_pool import PERMANENT, HOT_POOL, COLD_POOL, LOCK
-        try:
-            async with asyncio.timeout(2.0):
-                async with LOCK:
-                    browser_count = {
-                        "permanent": 1 if PERMANENT else 0,
-                        "hot": len(HOT_POOL),
-                        "cold": len(COLD_POOL)
-                    }
-        except asyncio.TimeoutError:
-            logger.warning("Lock acquisition timeout in update_timeline, using cached browser counts")
-            # Use last known values or defaults
-            browser_count = {
-                "permanent": 1,
-                "hot": 0,
-                "cold": 0
-            }
-
-        self.memory_timeline.append({"time": now, "value": mem_pct})
-        self.requests_timeline.append({"time": now, "value": recent_reqs})
-        self.browser_timeline.append({"time": now, "browsers": browser_count})
-
-    async def _persist_endpoint_stats(self):
-        """Persist endpoint stats to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                await self.redis.set(
-                    "monitor:endpoint_stats",
-                    json.dumps(self.endpoint_stats),
-                    ex=self.ttl.endpoint_stats
-                )
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting endpoint stats (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist endpoint stats after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting endpoint stats: {e}")
-                break
-
-    async def _persist_active_requests(self):
-        """Persist active requests to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                if self.active_requests:
-                    await self.redis.set(
-                        f"monitor:{self.container_id}:active_requests",
-                        json.dumps(list(self.active_requests.values())),
-                        ex=self.ttl.active_requests
-                    )
-                else:
-                    await self.redis.delete(f"monitor:{self.container_id}:active_requests")
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting active requests (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist active requests after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting active requests: {e}")
-                break
-
-    async def _persist_completed_requests(self):
-        """Persist completed requests to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                await self.redis.set(
-                    f"monitor:{self.container_id}:completed",
-                    json.dumps(list(self.completed_requests)),
-                    ex=self.ttl.completed_requests
-                )
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting completed requests (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist completed requests after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting completed requests: {e}")
-                break
-
-    async def _persist_janitor_events(self):
-        """Persist janitor events to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                await self.redis.set(
-                    f"monitor:{self.container_id}:janitor",
-                    json.dumps(list(self.janitor_events)),
-                    ex=self.ttl.janitor_events
-                )
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting janitor events (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist janitor events after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting janitor events: {e}")
-                break
-
-    async def _persist_errors(self):
-        """Persist errors to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                await self.redis.set(
-                    f"monitor:{self.container_id}:errors",
-                    json.dumps(list(self.errors)),
-                    ex=self.ttl.errors
-                )
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting errors (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist errors after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting errors: {e}")
-                break
-
-    async def _persistence_worker(self):
-        """Background worker to persist stats to Redis."""
-        while True:
-            try:
-                await self._persist_queue.get()
-                await self._persist_endpoint_stats()
-                self._persist_queue.task_done()
-            except asyncio.CancelledError:
-                break
-            except Exception as e:
-                logger.error(f"Persistence worker error: {e}")
-
-    def start_persistence_worker(self):
-        """Start the background persistence worker."""
-        if not self._persist_worker_task:
-            self._persist_worker_task = asyncio.create_task(self._persistence_worker())
-            logger.info("Started persistence worker")
-
-    async def stop_persistence_worker(self):
-        """Stop the background persistence worker."""
-        if self._persist_worker_task:
-            self._persist_worker_task.cancel()
-            try:
-                await self._persist_worker_task
-            except asyncio.CancelledError:
-                pass
-            self._persist_worker_task = None
-            logger.info("Stopped persistence worker")
-
-    async def _heartbeat_worker(self):
-        """Send heartbeat to Redis every 30s with circuit breaker for failures."""
-        from utils import detect_deployment_mode
-        import os
-
-        heartbeat_failures = 0
-        max_failures = 5  # Circuit breaker threshold
-
-        while True:
-            try:
-                # Get hostname/container name for friendly display
-                # Try HOSTNAME env var first (set by Docker Compose), then socket.gethostname()
-                import socket
-                hostname = os.getenv("HOSTNAME", socket.gethostname())
-
-                # Register this container
-                mode, containers = detect_deployment_mode()
-                container_info = {
-                    "id": self.container_id,
-                    "hostname": hostname,
-                    "last_seen": time.time(),
-                    "mode": mode,
-                    "failure_count": heartbeat_failures
-                }
-
-                # Set heartbeat with configured TTL
-                await self.redis.setex(
-                    f"monitor:heartbeat:{self.container_id}",
-                    self.ttl.heartbeat,
-                    json.dumps(container_info)
-                )
-
-                # Add to active containers set
-                await self.redis.sadd("monitor:active_containers", self.container_id)
-
-                # Reset failure counter on success
-                heartbeat_failures = 0
-
-                # Wait 30s before next heartbeat
-                await asyncio.sleep(30)
-
-            except asyncio.CancelledError:
-                break
-            except aioredis.ConnectionError as e:
-                heartbeat_failures += 1
-                logger.error(
-                    f"Heartbeat Redis connection error (attempt {heartbeat_failures}/{max_failures}): {e}"
-                )
-
-                if heartbeat_failures >= max_failures:
-                    # Circuit breaker - back off for longer
-                    logger.critical(
-                        f"Heartbeat circuit breaker triggered after {heartbeat_failures} failures. "
-                        f"Container will appear offline for 5 minutes."
-                    )
-                    await asyncio.sleep(300)  # 5 min backoff
-                    heartbeat_failures = 0
-                else:
-                    # Exponential backoff
-                    backoff = min(30 * (2 ** heartbeat_failures), 300)
-                    await asyncio.sleep(backoff)
-            except Exception as e:
-                logger.error(f"Unexpected heartbeat error: {e}", exc_info=True)
-                await asyncio.sleep(30)
-
-    def start_heartbeat(self):
-        """Start the heartbeat worker."""
-        if not self._heartbeat_task:
-            self._heartbeat_task = asyncio.create_task(self._heartbeat_worker())
-            logger.info("Started heartbeat worker")
-
-    async def stop_heartbeat(self):
-        """Stop the heartbeat worker and immediately deregister container."""
-        if self._heartbeat_task:
-            self._heartbeat_task.cancel()
-            try:
-                await self._heartbeat_task
-            except asyncio.CancelledError:
-                pass
-
-            # Immediate deregistration (no 60s wait)
-            try:
-                await self.redis.srem("monitor:active_containers", self.container_id)
-                await self.redis.delete(f"monitor:heartbeat:{self.container_id}")
-                logger.info(f"Container {self.container_id} immediately deregistered from monitoring")
-            except Exception as e:
-                logger.warning(f"Failed to deregister container on shutdown: {e}")
-
-            self._heartbeat_task = None
-            logger.info("Stopped heartbeat worker")
-
-    async def cleanup(self):
-        """Cleanup on shutdown - persist final stats and stop workers."""
-        logger.info("Monitor cleanup starting...")
-        try:
-            # Persist final stats before shutdown
-            await self._persist_endpoint_stats()
-            # Stop background workers
-            await self.stop_persistence_worker()
-            await self.stop_heartbeat()
-            logger.info("Monitor cleanup completed")
-        except Exception as e:
-            logger.error(f"Monitor cleanup error: {e}")
-
-    async def load_from_redis(self):
-        """Load persisted stats from Redis and start workers."""
-        try:
-            data = await self.redis.get("monitor:endpoint_stats")
-            if data:
-                self.endpoint_stats = json.loads(data)
-                logger.info("Loaded endpoint stats from Redis")
-
-            # Start background workers
-            self.start_heartbeat()
-
-        except Exception as e:
-            logger.warning(f"Failed to load from Redis: {e}")
-
-    async def get_health_summary(self) -> Dict:
-        """Get current system health snapshot."""
-        mem_pct = get_container_memory_percent()
-        cpu_pct = psutil.cpu_percent(interval=0.1)
-
-        # Network I/O (delta since last call)
-        net = psutil.net_io_counters()
-
-        # Pool status (acquire lock with timeout to prevent race conditions)
-        from crawler_pool import PERMANENT, HOT_POOL, COLD_POOL, LOCK
-        try:
-            async with asyncio.timeout(2.0):
-                async with LOCK:
-                    # TODO: Track actual browser process memory instead of estimates
-                    # These are conservative estimates based on typical Chromium usage
-                    permanent_mem = 270 if PERMANENT else 0  # Estimate: ~270MB for permanent browser
-                    hot_mem = len(HOT_POOL) * 180  # Estimate: ~180MB per hot pool browser
-                    cold_mem = len(COLD_POOL) * 180  # Estimate: ~180MB per cold pool browser
-                    permanent_active = PERMANENT is not None
-                    hot_count = len(HOT_POOL)
-                    cold_count = len(COLD_POOL)
-        except asyncio.TimeoutError:
-            logger.warning("Lock acquisition timeout in get_health_summary, using defaults")
-            # Use safe defaults when lock times out
-            permanent_mem = 0
-            hot_mem = 0
-            cold_mem = 0
-            permanent_active = False
-            hot_count = 0
-            cold_count = 0
-
-        return {
-            "container": {
-                "memory_percent": round(mem_pct, 1),
-                "cpu_percent": round(cpu_pct, 1),
-                "network_sent_mb": round(net.bytes_sent / (1024**2), 2),
-                "network_recv_mb": round(net.bytes_recv / (1024**2), 2),
-                "uptime_seconds": int(time.time() - self.start_time)
-            },
-            "pool": {
-                "permanent": {"active": permanent_active, "memory_mb": permanent_mem},
-                "hot": {"count": hot_count, "memory_mb": hot_mem},
-                "cold": {"count": cold_count, "memory_mb": cold_mem},
-                "total_memory_mb": permanent_mem + hot_mem + cold_mem
-            },
-            "janitor": {
-                "next_cleanup_estimate": "adaptive",  # Would need janitor state
-                "memory_pressure": "LOW" if mem_pct < 60 else "MEDIUM" if mem_pct < 80 else "HIGH"
-            }
-        }
-
-    def get_active_requests(self) -> List[Dict]:
-        """Get list of currently active requests."""
-        now = time.time()
-        return [
-            {
-                **req,
-                "elapsed": round(now - req["start_time"], 1),
-                "status": "running"
-            }
-            for req in self.active_requests.values()
-        ]
-
-    def get_completed_requests(self, limit: int = 50, filter_status: str = "all") -> List[Dict]:
-        """Get recent completed requests."""
-        requests = list(self.completed_requests)[-limit:]
-        if filter_status == "success":
-            requests = [r for r in requests if r.get("success")]
-        elif filter_status == "error":
-            requests = [r for r in requests if not r.get("success")]
-        return requests
-
-    async def get_browser_list(self) -> List[Dict]:
-        """Get detailed browser pool information with timeout protection."""
-        from crawler_pool import PERMANENT, HOT_POOL, COLD_POOL, LAST_USED, USAGE_COUNT, DEFAULT_CONFIG_SIG, LOCK
-
-        browsers = []
-        now = time.time()
-
-        # Acquire lock with timeout to prevent deadlock
-        try:
-            async with asyncio.timeout(2.0):
-                async with LOCK:
-                    if PERMANENT:
-                        browsers.append({
-                            "type": "permanent",
-                            "sig": DEFAULT_CONFIG_SIG[:8] if DEFAULT_CONFIG_SIG else "unknown",
-                            "age_seconds": int(now - self.start_time),
-                            "last_used_seconds": int(now - LAST_USED.get(DEFAULT_CONFIG_SIG, now)),
-                            "memory_mb": 270,
-                            "hits": USAGE_COUNT.get(DEFAULT_CONFIG_SIG, 0),
-                            "killable": False
-                        })
-
-                    for sig, crawler in HOT_POOL.items():
-                        browsers.append({
-                            "type": "hot",
-                            "sig": sig[:8],
-                            "age_seconds": int(now - self.start_time),  # Approximation
-                            "last_used_seconds": int(now - LAST_USED.get(sig, now)),
-                            "memory_mb": 180,  # Estimate
-                            "hits": USAGE_COUNT.get(sig, 0),
-                            "killable": True
-                        })
-
-                    for sig, crawler in COLD_POOL.items():
-                        browsers.append({
-                            "type": "cold",
-                            "sig": sig[:8],
-                            "age_seconds": int(now - self.start_time),
-                            "last_used_seconds": int(now - LAST_USED.get(sig, now)),
-                            "memory_mb": 180,
-                            "hits": USAGE_COUNT.get(sig, 0),
-                            "killable": True
-                        })
-        except asyncio.TimeoutError:
-            logger.error("Browser list lock timeout - pool may be locked by janitor")
-            # Return empty list when lock times out to prevent blocking
-            return []
-
-        return browsers
-
-    def get_endpoint_stats_summary(self) -> Dict[str, Dict]:
-        """Get aggregated endpoint statistics."""
-        summary = {}
-        for endpoint, stats in self.endpoint_stats.items():
-            count = stats["count"]
-            avg_time = (stats["total_time"] / count) if count > 0 else 0
-            success_rate = (stats["success"] / count * 100) if count > 0 else 0
-            pool_hit_rate = (stats["pool_hits"] / count * 100) if count > 0 else 0
-
-            summary[endpoint] = {
-                "count": count,
-                "avg_latency_ms": round(avg_time * 1000, 1),
-                "success_rate_percent": round(success_rate, 1),
-                "pool_hit_rate_percent": round(pool_hit_rate, 1),
-                "errors": stats["errors"]
-            }
-        return summary
-
-    def get_timeline_data(self, metric: str, window: str = "5m") -> Dict:
-        """Get timeline data for charts."""
-        # For now, only 5m window supported
-        if metric == "memory":
-            data = list(self.memory_timeline)
-        elif metric == "requests":
-            data = list(self.requests_timeline)
-        elif metric == "browsers":
-            data = list(self.browser_timeline)
-        else:
-            return {"timestamps": [], "values": []}
-
-        return {
-            "timestamps": [int(d["time"]) for d in data],
-            "values": [d.get("value", d.get("browsers")) for d in data]
-        }
-
-    def get_janitor_log(self, limit: int = 100) -> List[Dict]:
-        """Get recent janitor events."""
-        return list(self.janitor_events)[-limit:]
-
-    def get_errors_log(self, limit: int = 100) -> List[Dict]:
-        """Get recent errors."""
-        return list(self.errors)[-limit:]
-
-# Global instance (initialized in server.py)
-monitor_stats: Optional[MonitorStats] = None
-
-def get_monitor() -> MonitorStats:
-    """Get global monitor instance."""
-    if monitor_stats is None:
-        raise RuntimeError("Monitor not initialized")
-    return monitor_stats

deploy/docker/monitor_routes.py

@@ -1,608 +0,0 @@
-# monitor_routes.py - Monitor API endpoints
-from fastapi import APIRouter, HTTPException, WebSocket, WebSocketDisconnect
-from pydantic import BaseModel
-from typing import Optional
-from monitor import get_monitor
-from utils import detect_deployment_mode, get_container_id
-import logging
-import asyncio
-import json
-import re
-
-logger = logging.getLogger(__name__)
-router = APIRouter(prefix="/monitor", tags=["monitor"])
-
-
-# ========== Security & Validation ==========
-
-def validate_container_id(cid: str) -> bool:
-    """Validate container ID format to prevent Redis key injection.
-
-    Docker container IDs are 12-64 character hexadecimal strings.
-    Hostnames are alphanumeric with dashes and underscores.
-
-    Args:
-        cid: Container ID to validate
-
-    Returns:
-        True if valid, False otherwise
-    """
-    if not cid or not isinstance(cid, str):
-        return False
-
-    # Allow alphanumeric, dashes, and underscores only (1-64 chars)
-    # This prevents path traversal (../../), wildcards (**), and other injection attempts
-    return bool(re.match(r'^[a-zA-Z0-9_-]{1,64}$', cid))
-
-
-# ========== Redis Aggregation Helpers ==========
-
-async def _get_active_containers():
-    """Get list of active container IDs from Redis with validation."""
-    try:
-        monitor = get_monitor()
-        container_ids = await monitor.redis.smembers("monitor:active_containers")
-
-        # Decode and validate each container ID
-        validated = []
-        for cid in container_ids:
-            cid_str = cid.decode() if isinstance(cid, bytes) else cid
-
-            if validate_container_id(cid_str):
-                validated.append(cid_str)
-            else:
-                logger.warning(f"Invalid container ID format rejected: {cid_str}")
-
-        return validated
-    except Exception as e:
-        logger.error(f"Failed to get active containers: {e}")
-        return []
-
-
-async def _aggregate_active_requests():
-    """Aggregate active requests from all containers."""
-    container_ids = await _get_active_containers()
-    all_requests = []
-
-    monitor = get_monitor()
-    for container_id in container_ids:
-        try:
-            data = await monitor.redis.get(f"monitor:{container_id}:active_requests")
-            if data:
-                requests = json.loads(data)
-                all_requests.extend(requests)
-        except Exception as e:
-            logger.warning(f"Failed to get active requests from {container_id}: {e}")
-
-    return all_requests
-
-
-async def _aggregate_completed_requests(limit=100):
-    """Aggregate completed requests from all containers."""
-    container_ids = await _get_active_containers()
-    all_requests = []
-
-    monitor = get_monitor()
-    for container_id in container_ids:
-        try:
-            data = await monitor.redis.get(f"monitor:{container_id}:completed")
-            if data:
-                requests = json.loads(data)
-                all_requests.extend(requests)
-        except Exception as e:
-            logger.warning(f"Failed to get completed requests from {container_id}: {e}")
-
-    # Sort by end_time (most recent first) and limit
-    all_requests.sort(key=lambda x: x.get("end_time", 0), reverse=True)
-    return all_requests[:limit]
-
-
-async def _aggregate_janitor_events(limit=100):
-    """Aggregate janitor events from all containers."""
-    container_ids = await _get_active_containers()
-    all_events = []
-
-    monitor = get_monitor()
-    for container_id in container_ids:
-        try:
-            data = await monitor.redis.get(f"monitor:{container_id}:janitor")
-            if data:
-                events = json.loads(data)
-                all_events.extend(events)
-        except Exception as e:
-            logger.warning(f"Failed to get janitor events from {container_id}: {e}")
-
-    # Sort by timestamp (most recent first) and limit
-    all_events.sort(key=lambda x: x.get("timestamp", 0), reverse=True)
-    return all_events[:limit]
-
-
-async def _aggregate_errors(limit=100):
-    """Aggregate errors from all containers."""
-    container_ids = await _get_active_containers()
-    all_errors = []
-
-    monitor = get_monitor()
-    for container_id in container_ids:
-        try:
-            data = await monitor.redis.get(f"monitor:{container_id}:errors")
-            if data:
-                errors = json.loads(data)
-                all_errors.extend(errors)
-        except Exception as e:
-            logger.warning(f"Failed to get errors from {container_id}: {e}")
-
-    # Sort by timestamp (most recent first) and limit
-    all_errors.sort(key=lambda x: x.get("timestamp", 0), reverse=True)
-    return all_errors[:limit]
-
-
-@router.get("/health")
-async def get_health():
-    """Get current system health snapshot."""
-    try:
-        monitor = get_monitor()
-        return await monitor.get_health_summary()
-    except Exception as e:
-        logger.error(f"Error getting health: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.get("/requests")
-async def get_requests(status: str = "all", limit: int = 50):
-    """Get active and completed requests.
-
-    Args:
-        status: Filter by 'active', 'completed', 'success', 'error', or 'all'
-        limit: Max number of completed requests to return (default 50)
-    """
-    # Input validation
-    if status not in ["all", "active", "completed", "success", "error"]:
-        raise HTTPException(400, f"Invalid status: {status}. Must be one of: all, active, completed, success, error")
-    if limit < 1 or limit > 1000:
-        raise HTTPException(400, f"Invalid limit: {limit}. Must be between 1 and 1000")
-
-    try:
-        # Aggregate from all containers via Redis
-        active_requests = await _aggregate_active_requests()
-        completed_requests = await _aggregate_completed_requests(limit)
-
-        # Filter by status if needed
-        if status in ["success", "error"]:
-            is_success = (status == "success")
-            completed_requests = [r for r in completed_requests if r.get("success") == is_success]
-
-        if status == "active":
-            return {"active": active_requests, "completed": []}
-        elif status == "completed":
-            return {"active": [], "completed": completed_requests}
-        else:  # "all" or success/error
-            return {
-                "active": active_requests,
-                "completed": completed_requests
-            }
-    except Exception as e:
-        logger.error(f"Error getting requests: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.get("/browsers")
-async def get_browsers():
-    """Get detailed browser pool information."""
-    try:
-        monitor = get_monitor()
-        container_id = get_container_id()
-        browsers = await monitor.get_browser_list()
-
-        # Add container_id to each browser
-        for browser in browsers:
-            browser["container_id"] = container_id
-
-        # Calculate summary stats
-        total_browsers = len(browsers)
-        total_memory = sum(b["memory_mb"] for b in browsers)
-
-        # Calculate reuse rate from recent requests
-        recent = monitor.get_completed_requests(100)
-        pool_hits = sum(1 for r in recent if r.get("pool_hit", False))
-        reuse_rate = (pool_hits / len(recent) * 100) if recent else 0
-
-        return {
-            "browsers": browsers,
-            "summary": {
-                "total_count": total_browsers,
-                "total_memory_mb": total_memory,
-                "reuse_rate_percent": round(reuse_rate, 1)
-            },
-            "container_id": container_id
-        }
-    except Exception as e:
-        logger.error(f"Error getting browsers: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.get("/endpoints/stats")
-async def get_endpoint_stats():
-    """Get aggregated endpoint statistics."""
-    try:
-        monitor = get_monitor()
-        return monitor.get_endpoint_stats_summary()
-    except Exception as e:
-        logger.error(f"Error getting endpoint stats: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.get("/timeline")
-async def get_timeline(metric: str = "memory", window: str = "5m"):
-    """Get timeline data for charts.
-
-    Args:
-        metric: 'memory', 'requests', or 'browsers'
-        window: Time window (only '5m' supported for now)
-    """
-    # Input validation
-    if metric not in ["memory", "requests", "browsers"]:
-        raise HTTPException(400, f"Invalid metric: {metric}. Must be one of: memory, requests, browsers")
-    if window != "5m":
-        raise HTTPException(400, f"Invalid window: {window}. Only '5m' is currently supported")
-
-    try:
-        monitor = get_monitor()
-        return monitor.get_timeline_data(metric, window)
-    except Exception as e:
-        logger.error(f"Error getting timeline: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.get("/logs/janitor")
-async def get_janitor_log(limit: int = 100):
-    """Get recent janitor cleanup events."""
-    # Input validation
-    if limit < 1 or limit > 1000:
-        raise HTTPException(400, f"Invalid limit: {limit}. Must be between 1 and 1000")
-
-    try:
-        # Aggregate from all containers via Redis
-        events = await _aggregate_janitor_events(limit)
-        return {"events": events}
-    except Exception as e:
-        logger.error(f"Error getting janitor log: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.get("/logs/errors")
-async def get_errors_log(limit: int = 100):
-    """Get recent errors."""
-    # Input validation
-    if limit < 1 or limit > 1000:
-        raise HTTPException(400, f"Invalid limit: {limit}. Must be between 1 and 1000")
-
-    try:
-        # Aggregate from all containers via Redis
-        errors = await _aggregate_errors(limit)
-        return {"errors": errors}
-    except Exception as e:
-        logger.error(f"Error getting errors log: {e}")
-        raise HTTPException(500, str(e))
-
-
-# ========== Control Actions ==========
-
-class KillBrowserRequest(BaseModel):
-    sig: str
-
-
-@router.post("/actions/cleanup")
-async def force_cleanup():
-    """Force immediate janitor cleanup (kills idle cold pool browsers)."""
-    try:
-        from crawler_pool import COLD_POOL, LAST_USED, USAGE_COUNT, LOCK
-        import time
-        from contextlib import suppress
-
-        killed_count = 0
-        now = time.time()
-
-        async with LOCK:
-            for sig in list(COLD_POOL.keys()):
-                # Kill all cold pool browsers immediately
-                logger.info(f"🧹 Force cleanup: closing cold browser (sig={sig[:8]})")
-                with suppress(Exception):
-                    await COLD_POOL[sig].close()
-                COLD_POOL.pop(sig, None)
-                LAST_USED.pop(sig, None)
-                USAGE_COUNT.pop(sig, None)
-                killed_count += 1
-
-        monitor = get_monitor()
-        await monitor.track_janitor_event("force_cleanup", "manual", {"killed": killed_count})
-
-        return {"success": True, "killed_browsers": killed_count}
-    except Exception as e:
-        logger.error(f"Error during force cleanup: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.post("/actions/kill_browser")
-async def kill_browser(req: KillBrowserRequest):
-    """Kill a specific browser by signature (hot or cold only).
-
-    Args:
-        sig: Browser config signature (first 8 chars)
-    """
-    try:
-        from crawler_pool import HOT_POOL, COLD_POOL, LAST_USED, USAGE_COUNT, LOCK, DEFAULT_CONFIG_SIG
-        from contextlib import suppress
-
-        # Find full signature matching prefix
-        target_sig = None
-        pool_type = None
-
-        async with LOCK:
-            # Check hot pool
-            for sig in HOT_POOL.keys():
-                if sig.startswith(req.sig):
-                    target_sig = sig
-                    pool_type = "hot"
-                    break
-
-            # Check cold pool
-            if not target_sig:
-                for sig in COLD_POOL.keys():
-                    if sig.startswith(req.sig):
-                        target_sig = sig
-                        pool_type = "cold"
-                        break
-
-            # Check if trying to kill permanent
-            if DEFAULT_CONFIG_SIG and DEFAULT_CONFIG_SIG.startswith(req.sig):
-                raise HTTPException(403, "Cannot kill permanent browser. Use restart instead.")
-
-            if not target_sig:
-                raise HTTPException(404, f"Browser with sig={req.sig} not found")
-
-            # Warn if there are active requests (browser might be in use)
-            monitor = get_monitor()
-            active_count = len(monitor.get_active_requests())
-            if active_count > 0:
-                logger.warning(f"Killing browser {target_sig[:8]} while {active_count} requests are active - may cause failures")
-
-            # Kill the browser
-            if pool_type == "hot":
-                browser = HOT_POOL.pop(target_sig)
-            else:
-                browser = COLD_POOL.pop(target_sig)
-
-            with suppress(Exception):
-                await browser.close()
-
-            LAST_USED.pop(target_sig, None)
-            USAGE_COUNT.pop(target_sig, None)
-
-        logger.info(f"🔪 Killed {pool_type} browser (sig={target_sig[:8]})")
-
-        monitor = get_monitor()
-        await monitor.track_janitor_event("kill_browser", target_sig, {"pool": pool_type, "manual": True})
-
-        return {"success": True, "killed_sig": target_sig[:8], "pool_type": pool_type}
-    except HTTPException:
-        raise
-    except Exception as e:
-        logger.error(f"Error killing browser: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.post("/actions/restart_browser")
-async def restart_browser(req: KillBrowserRequest):
-    """Restart a browser (kill + recreate). Works for permanent too.
-
-    Args:
-        sig: Browser config signature (first 8 chars), or "permanent"
-    """
-    try:
-        from crawler_pool import (PERMANENT, HOT_POOL, COLD_POOL, LAST_USED,
-                                  USAGE_COUNT, LOCK, DEFAULT_CONFIG_SIG, init_permanent)
-        from crawl4ai import AsyncWebCrawler, BrowserConfig
-        from contextlib import suppress
-        import time
-
-        # Handle permanent browser restart
-        if req.sig == "permanent" or (DEFAULT_CONFIG_SIG and DEFAULT_CONFIG_SIG.startswith(req.sig)):
-            async with LOCK:
-                if PERMANENT:
-                    with suppress(Exception):
-                        await PERMANENT.close()
-
-                # Reinitialize permanent
-                from utils import load_config
-                config = load_config()
-                await init_permanent(BrowserConfig(
-                    extra_args=config["crawler"]["browser"].get("extra_args", []),
-                    **config["crawler"]["browser"].get("kwargs", {}),
-                ))
-
-            logger.info("🔄 Restarted permanent browser")
-            return {"success": True, "restarted": "permanent"}
-
-        # Handle hot/cold browser restart
-        target_sig = None
-        pool_type = None
-        browser_config = None
-
-        async with LOCK:
-            # Find browser
-            for sig in HOT_POOL.keys():
-                if sig.startswith(req.sig):
-                    target_sig = sig
-                    pool_type = "hot"
-                    # Would need to reconstruct config (not stored currently)
-                    break
-
-            if not target_sig:
-                for sig in COLD_POOL.keys():
-                    if sig.startswith(req.sig):
-                        target_sig = sig
-                        pool_type = "cold"
-                        break
-
-            if not target_sig:
-                raise HTTPException(404, f"Browser with sig={req.sig} not found")
-
-            # Kill existing
-            if pool_type == "hot":
-                browser = HOT_POOL.pop(target_sig)
-            else:
-                browser = COLD_POOL.pop(target_sig)
-
-            with suppress(Exception):
-                await browser.close()
-
-            # Note: We can't easily recreate with same config without storing it
-            # For now, just kill and let new requests create fresh ones
-            LAST_USED.pop(target_sig, None)
-            USAGE_COUNT.pop(target_sig, None)
-
-        logger.info(f"🔄 Restarted {pool_type} browser (sig={target_sig[:8]})")
-
-        monitor = get_monitor()
-        await monitor.track_janitor_event("restart_browser", target_sig, {"pool": pool_type})
-
-        return {"success": True, "restarted_sig": target_sig[:8], "note": "Browser will be recreated on next request"}
-    except HTTPException:
-        raise
-    except Exception as e:
-        logger.error(f"Error restarting browser: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.post("/stats/reset")
-async def reset_stats():
-    """Reset today's endpoint counters."""
-    try:
-        monitor = get_monitor()
-        monitor.endpoint_stats.clear()
-        await monitor._persist_endpoint_stats()
-
-        return {"success": True, "message": "Endpoint stats reset"}
-    except Exception as e:
-        logger.error(f"Error resetting stats: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.get("/containers")
-async def get_containers():
-    """Get container deployment info from Redis heartbeats."""
-    try:
-        monitor = get_monitor()
-        container_ids = await _get_active_containers()
-
-        containers = []
-        for cid in container_ids:
-            try:
-                # Get heartbeat data
-                data = await monitor.redis.get(f"monitor:heartbeat:{cid}")
-                if data:
-                    info = json.loads(data)
-                    containers.append({
-                        "id": info.get("id", cid),
-                        "hostname": info.get("hostname", cid),
-                        "healthy": True  # If heartbeat exists, it's healthy
-                    })
-            except Exception as e:
-                logger.warning(f"Failed to get heartbeat for {cid}: {e}")
-
-        # Determine mode
-        mode = "single" if len(containers) == 1 else "compose"
-        if len(containers) > 1:
-            # Check if any hostname has swarm pattern (service.slot.task_id)
-            if any("." in c["hostname"] and len(c["hostname"].split(".")) > 2 for c in containers):
-                mode = "swarm"
-
-        return {
-            "mode": mode,
-            "container_id": get_container_id(),
-            "containers": containers,
-            "count": len(containers)
-        }
-    except Exception as e:
-        logger.error(f"Error getting containers: {e}")
-        raise HTTPException(500, str(e))
-
-
-@router.websocket("/ws")
-async def websocket_endpoint(websocket: WebSocket):
-    """WebSocket endpoint for real-time monitoring updates.
-
-    Sends aggregated updates every 2 seconds from all containers with:
-    - Health stats (local container)
-    - Active/completed requests (aggregated from all containers)
-    - Browser pool status (local container only - not in Redis)
-    - Timeline data (local container - TODO: aggregate from Redis)
-    - Janitor events (aggregated from all containers)
-    - Errors (aggregated from all containers)
-    """
-    await websocket.accept()
-    logger.info("WebSocket client connected")
-
-    try:
-        while True:
-            try:
-                # Gather aggregated monitoring data from Redis
-                monitor = get_monitor()
-                container_id = get_container_id()
-
-                # Get container info
-                containers_info = await get_containers()
-
-                # AGGREGATE data from all containers via Redis
-                active_reqs = await _aggregate_active_requests()
-                completed_reqs = await _aggregate_completed_requests(limit=10)
-                janitor_events = await _aggregate_janitor_events(limit=10)
-                errors_log = await _aggregate_errors(limit=10)
-
-                # Local container data (not aggregated)
-                local_health = await monitor.get_health_summary()
-                browsers = await monitor.get_browser_list()  # Browser list is local only
-
-                # Add container_id to browsers (they're local)
-                for browser in browsers:
-                    browser["container_id"] = container_id
-
-                data = {
-                    "timestamp": asyncio.get_event_loop().time(),
-                    "container_id": container_id,  # This container handling the WebSocket
-                    "is_aggregated": True,  # Flag to indicate aggregated data
-                    "local_health": local_health,  # This container's health
-                    "containers": containers_info.get("containers", []),  # All containers
-                    "requests": {
-                        "active": active_reqs,  # Aggregated from all containers
-                        "completed": completed_reqs  # Aggregated from all containers
-                    },
-                    "browsers": browsers,  # Local only (not in Redis)
-                    "timeline": {
-                        # TODO: Aggregate timeline from Redis (currently local only)
-                        "memory": monitor.get_timeline_data("memory", "5m"),
-                        "requests": monitor.get_timeline_data("requests", "5m"),
-                        "browsers": monitor.get_timeline_data("browsers", "5m")
-                    },
-                    "janitor": janitor_events,  # Aggregated from all containers
-                    "errors": errors_log  # Aggregated from all containers
-                }
-
-                # Send update to client
-                await websocket.send_json(data)
-
-                # Wait 2 seconds before next update
-                await asyncio.sleep(2)
-
-            except WebSocketDisconnect:
-                logger.info("WebSocket client disconnected")
-                break
-            except Exception as e:
-                logger.error(f"WebSocket error: {e}", exc_info=True)
-                await asyncio.sleep(2)  # Continue trying
-
-    except Exception as e:
-        logger.error(f"WebSocket connection error: {e}", exc_info=True)
-    finally:
-        logger.info("WebSocket connection closed")

deploy/docker/requirements.txt

@@ -12,6 +12,6 @@ pydantic>=2.11
 rank-bm25==0.2.2
 anyio==4.9.0
 PyJWT==2.10.1
-mcp>=1.18.0
+mcp>=1.6.0
 websockets>=15.0.1
 httpx[http2]>=0.27.2

deploy/docker/schemas.py

@@ -1,6 +1,6 @@
 from typing import List, Optional, Dict
 from enum import Enum
-from pydantic import BaseModel, Field, HttpUrl
+from pydantic import BaseModel, Field
 from utils import FilterType
 
 
@@ -9,50 +9,6 @@ class CrawlRequest(BaseModel):
     browser_config: Optional[Dict] = Field(default_factory=dict)
     crawler_config: Optional[Dict] = Field(default_factory=dict)
 
-
-class HookConfig(BaseModel):
-    """Configuration for user-provided hooks"""
-    code: Dict[str, str] = Field(
-        default_factory=dict,
-        description="Map of hook points to Python code strings"
-    )
-    timeout: int = Field(
-        default=30,
-        ge=1,
-        le=120,
-        description="Timeout in seconds for each hook execution"
-    )
-    
-    class Config:
-        schema_extra = {
-            "example": {
-                "code": {
-                    "on_page_context_created": """
-async def hook(page, context, **kwargs):
-    # Block images to speed up crawling
-    await context.route("**/*.{png,jpg,jpeg,gif}", lambda route: route.abort())
-    return page
-""",
-                    "before_retrieve_html": """
-async def hook(page, context, **kwargs):
-    # Scroll to load lazy content
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(2000)
-    return page
-"""
-                },
-                "timeout": 30
-            }
-        }
-
-
-class CrawlRequestWithHooks(CrawlRequest):
-    """Extended crawl request with hooks support"""
-    hooks: Optional[HookConfig] = Field(
-        default=None,
-        description="Optional user-provided hook functions"
-    )
-
 class MarkdownRequest(BaseModel):
     """Request body for the /md endpoint."""
     url: str                    = Field(...,  description="Absolute http/https URL to fetch")
@@ -60,8 +16,6 @@ class MarkdownRequest(BaseModel):
     q:   Optional[str] = Field(None,  description="Query string used by BM25/LLM filters")
     c:   Optional[str] = Field("0",   description="Cache‑bust / revision counter")
     provider: Optional[str] = Field(None, description="LLM provider override (e.g., 'anthropic/claude-3-opus')")
-    temperature: Optional[float] = Field(None, description="LLM temperature override (0.0-2.0)")
-    base_url: Optional[str] = Field(None, description="LLM API base URL override")
 
 
 class RawCode(BaseModel):
@@ -85,22 +39,4 @@ class JSEndpointRequest(BaseModel):
     scripts: List[str] = Field(
         ...,
         description="List of separated JavaScript snippets to execute"
-    )
-
-
-class WebhookConfig(BaseModel):
-    """Configuration for webhook notifications."""
-    webhook_url: HttpUrl
-    webhook_data_in_payload: bool = False
-    webhook_headers: Optional[Dict[str, str]] = None
-
-
-class WebhookPayload(BaseModel):
-    """Payload sent to webhook endpoints."""
-    task_id: str
-    task_type: str  # "crawl", "llm_extraction", etc.
-    status: str  # "completed" or "failed"
-    timestamp: str  # ISO 8601 format
-    urls: List[str]
-    error: Optional[str] = None
-    data: Optional[Dict] = None  # Included only if webhook_data_in_payload=True
+    )

deploy/docker/server.py

@@ -16,7 +16,6 @@ from fastapi import Request, Depends
 from fastapi.responses import FileResponse
 import base64
 import re
-import logging
 from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
 from api import (
     handle_markdown_request, handle_llm_qa,
@@ -24,7 +23,7 @@ from api import (
     stream_results
 )
 from schemas import (
-    CrawlRequestWithHooks,
+    CrawlRequest,
     MarkdownRequest,
     RawCode,
     HTMLRequest,
@@ -79,14 +78,6 @@ __version__ = "0.5.1-d1"
 MAX_PAGES = config["crawler"]["pool"].get("max_pages", 30)
 GLOBAL_SEM = asyncio.Semaphore(MAX_PAGES)
 
-# ── default browser config helper ─────────────────────────────
-def get_default_browser_config() -> BrowserConfig:
-    """Get default BrowserConfig from config.yml."""
-    return BrowserConfig(
-        extra_args=config["crawler"]["browser"].get("extra_args", []),
-        **config["crawler"]["browser"].get("kwargs", {}),
-    )
-
 # import logging
 # page_log = logging.getLogger("page_cap")
 # orig_arun = AsyncWebCrawler.arun
@@ -112,52 +103,15 @@ AsyncWebCrawler.arun = capped_arun
 
 @asynccontextmanager
 async def lifespan(_: FastAPI):
-    from crawler_pool import init_permanent
-    from monitor import MonitorStats
-    import monitor as monitor_module
-
-    # Initialize monitor
-    monitor_module.monitor_stats = MonitorStats(redis)
-    await monitor_module.monitor_stats.load_from_redis()
-    monitor_module.monitor_stats.start_persistence_worker()
-
-    # Initialize browser pool
-    await init_permanent(BrowserConfig(
+    await get_crawler(BrowserConfig(
         extra_args=config["crawler"]["browser"].get("extra_args", []),
         **config["crawler"]["browser"].get("kwargs", {}),
-    ))
-
-    # Start background tasks
-    app.state.janitor = asyncio.create_task(janitor())
-    app.state.timeline_updater = asyncio.create_task(_timeline_updater())
-
+    ))           # warm‑up
+    app.state.janitor = asyncio.create_task(janitor())        # idle GC
     yield
-
-    # Cleanup
     app.state.janitor.cancel()
-    app.state.timeline_updater.cancel()
-
-    # Monitor cleanup (persist stats and stop workers)
-    from monitor import get_monitor
-    try:
-        await get_monitor().cleanup()
-    except Exception as e:
-        logger.error(f"Monitor cleanup failed: {e}")
-
     await close_all()
 
-async def _timeline_updater():
-    """Update timeline data every 5 seconds."""
-    from monitor import get_monitor
-    while True:
-        await asyncio.sleep(5)
-        try:
-            await asyncio.wait_for(get_monitor().update_timeline(), timeout=4.0)
-        except asyncio.TimeoutError:
-            logger.warning("Timeline update timeout after 4s")
-        except Exception as e:
-            logger.warning(f"Timeline update error: {e}")
-
 # ───────────────────── FastAPI instance ──────────────────────
 app = FastAPI(
     title=config["app"]["title"],
@@ -175,36 +129,13 @@ app.mount(
     name="play",
 )
 
-# ── static monitor dashboard ────────────────────────────────
-MONITOR_DIR = pathlib.Path(__file__).parent / "static" / "monitor"
-if not MONITOR_DIR.exists():
-    raise RuntimeError(f"Monitor assets not found at {MONITOR_DIR}")
-app.mount(
-    "/dashboard",
-    StaticFiles(directory=MONITOR_DIR, html=True),
-    name="monitor_ui",
-)
-
-# ── static assets (logo, etc) ────────────────────────────────
-ASSETS_DIR = pathlib.Path(__file__).parent / "static" / "assets"
-if ASSETS_DIR.exists():
-    app.mount(
-        "/static/assets",
-        StaticFiles(directory=ASSETS_DIR),
-        name="assets",
-    )
-
 
 @app.get("/")
 async def root():
     return RedirectResponse("/playground")
 
 # ─────────────────── infra / middleware  ─────────────────────
-# Build Redis URL from environment or config
-redis_host = os.getenv("REDIS_HOST", config["redis"].get("host", "localhost"))
-redis_port = os.getenv("REDIS_PORT", config["redis"].get("port", 6379))
-redis_url = config["redis"].get("uri") or f"redis://{redis_host}:{redis_port}"
-redis = aioredis.from_url(redis_url)
+redis = aioredis.from_url(config["redis"].get("uri", "redis://localhost"))
 
 limiter = Limiter(
     key_func=get_remote_address,
@@ -281,12 +212,6 @@ def _safe_eval_config(expr: str) -> dict:
 # ── job router ──────────────────────────────────────────────
 app.include_router(init_job_router(redis, config, token_dep))
 
-# ── monitor router ──────────────────────────────────────────
-from monitor_routes import router as monitor_router
-app.include_router(monitor_router)
-
-logger = logging.getLogger(__name__)
-
 # ──────────────────────── Endpoints ──────────────────────────
 @app.post("/token")
 async def get_token(req: TokenRequest):
@@ -312,12 +237,11 @@ async def get_markdown(
     body: MarkdownRequest,
     _td: Dict = Depends(token_dep),
 ):
-    if not body.url.startswith(("http://", "https://")) and not body.url.startswith(("raw:", "raw://")):
+    if not body.url.startswith(("http://", "https://")):
         raise HTTPException(
-            400, "Invalid URL format. Must start with http://, https://, or for raw HTML (raw:, raw://)")
+            400, "URL must be absolute and start with http/https")
     markdown = await handle_markdown_request(
-        body.url, body.f, body.q, body.c, config, body.provider,
-        body.temperature, body.base_url
+        body.url, body.f, body.q, body.c, config, body.provider
     )
     return JSONResponse({
         "url": body.url,
@@ -341,20 +265,13 @@ async def generate_html(
     Crawls the URL, preprocesses the raw HTML for schema extraction, and returns the processed HTML.
     Use when you need sanitized HTML structures for building schemas or further processing.
     """
-    from crawler_pool import get_crawler
     cfg = CrawlerRunConfig()
-    try:
-        crawler = await get_crawler(get_default_browser_config())
+    async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
         results = await crawler.arun(url=body.url, config=cfg)
-        if not results[0].success:
-            raise HTTPException(500, detail=results[0].error_message or "Crawl failed")
-
-        raw_html = results[0].html
-        from crawl4ai.utils import preprocess_html_for_schema
-        processed_html = preprocess_html_for_schema(raw_html)
-        return JSONResponse({"html": processed_html, "url": body.url, "success": True})
-    except Exception as e:
-        raise HTTPException(500, detail=str(e))
+    raw_html = results[0].html
+    from crawl4ai.utils import preprocess_html_for_schema
+    processed_html = preprocess_html_for_schema(raw_html)
+    return JSONResponse({"html": processed_html, "url": body.url, "success": True})
 
 # Screenshot endpoint
 
@@ -372,23 +289,18 @@ async def generate_screenshot(
     Use when you need an image snapshot of the rendered page. Its recommened to provide an output path to save the screenshot.
     Then in result instead of the screenshot you will get a path to the saved file.
     """
-    from crawler_pool import get_crawler
-    try:
-        cfg = CrawlerRunConfig(screenshot=True, screenshot_wait_for=body.screenshot_wait_for)
-        crawler = await get_crawler(get_default_browser_config())
+    cfg = CrawlerRunConfig(
+        screenshot=True, screenshot_wait_for=body.screenshot_wait_for)
+    async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
         results = await crawler.arun(url=body.url, config=cfg)
-        if not results[0].success:
-            raise HTTPException(500, detail=results[0].error_message or "Crawl failed")
-        screenshot_data = results[0].screenshot
-        if body.output_path:
-            abs_path = os.path.abspath(body.output_path)
-            os.makedirs(os.path.dirname(abs_path), exist_ok=True)
-            with open(abs_path, "wb") as f:
-                f.write(base64.b64decode(screenshot_data))
-            return {"success": True, "path": abs_path}
-        return {"success": True, "screenshot": screenshot_data}
-    except Exception as e:
-        raise HTTPException(500, detail=str(e))
+    screenshot_data = results[0].screenshot
+    if body.output_path:
+        abs_path = os.path.abspath(body.output_path)
+        os.makedirs(os.path.dirname(abs_path), exist_ok=True)
+        with open(abs_path, "wb") as f:
+            f.write(base64.b64decode(screenshot_data))
+        return {"success": True, "path": abs_path}
+    return {"success": True, "screenshot": screenshot_data}
 
 # PDF endpoint
 
@@ -406,23 +318,17 @@ async def generate_pdf(
     Use when you need a printable or archivable snapshot of the page. It is recommended to provide an output path to save the PDF.
     Then in result instead of the PDF you will get a path to the saved file.
     """
-    from crawler_pool import get_crawler
-    try:
-        cfg = CrawlerRunConfig(pdf=True)
-        crawler = await get_crawler(get_default_browser_config())
+    cfg = CrawlerRunConfig(pdf=True)
+    async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
         results = await crawler.arun(url=body.url, config=cfg)
-        if not results[0].success:
-            raise HTTPException(500, detail=results[0].error_message or "Crawl failed")
-        pdf_data = results[0].pdf
-        if body.output_path:
-            abs_path = os.path.abspath(body.output_path)
-            os.makedirs(os.path.dirname(abs_path), exist_ok=True)
-            with open(abs_path, "wb") as f:
-                f.write(pdf_data)
-            return {"success": True, "path": abs_path}
-        return {"success": True, "pdf": base64.b64encode(pdf_data).decode()}
-    except Exception as e:
-        raise HTTPException(500, detail=str(e))
+    pdf_data = results[0].pdf
+    if body.output_path:
+        abs_path = os.path.abspath(body.output_path)
+        os.makedirs(os.path.dirname(abs_path), exist_ok=True)
+        with open(abs_path, "wb") as f:
+            f.write(pdf_data)
+        return {"success": True, "path": abs_path}
+    return {"success": True, "pdf": base64.b64encode(pdf_data).decode()}
 
 
 @app.post("/execute_js")
@@ -478,17 +384,12 @@ async def execute_js(
         ```
 
     """
-    from crawler_pool import get_crawler
-    try:
-        cfg = CrawlerRunConfig(js_code=body.scripts)
-        crawler = await get_crawler(get_default_browser_config())
+    cfg = CrawlerRunConfig(js_code=body.scripts)
+    async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
         results = await crawler.arun(url=body.url, config=cfg)
-        if not results[0].success:
-            raise HTTPException(500, detail=results[0].error_message or "Crawl failed")
-        data = results[0].model_dump()
-        return JSONResponse(data)
-    except Exception as e:
-        raise HTTPException(500, detail=str(e))
+    # Return JSON-serializable dict of the first CrawlResult
+    data = results[0].model_dump()
+    return JSONResponse(data)
 
 
 @app.get("/llm/{url:path}")
@@ -500,7 +401,7 @@ async def llm_endpoint(
 ):
     if not q:
         raise HTTPException(400, "Query parameter 'q' is required")
-    if not url.startswith(("http://", "https://")) and not url.startswith(("raw:", "raw://")):
+    if not url.startswith(("http://", "https://")):
         url = "https://" + url
     answer = await handle_llm_qa(url, q, config)
     return JSONResponse({"answer": answer})
@@ -513,72 +414,6 @@ async def get_schema():
             "crawler": CrawlerRunConfig().dump()}
 
 
-@app.get("/hooks/info")
-async def get_hooks_info():
-    """Get information about available hook points and their signatures"""
-    from hook_manager import UserHookManager
-    
-    hook_info = {}
-    for hook_point, params in UserHookManager.HOOK_SIGNATURES.items():
-        hook_info[hook_point] = {
-            "parameters": params,
-            "description": get_hook_description(hook_point),
-            "example": get_hook_example(hook_point)
-        }
-    
-    return JSONResponse({
-        "available_hooks": hook_info,
-        "timeout_limits": {
-            "min": 1,
-            "max": 120,
-            "default": 30
-        }
-    })
-
-
-def get_hook_description(hook_point: str) -> str:
-    """Get description for each hook point"""
-    descriptions = {
-        "on_browser_created": "Called after browser instance is created",
-        "on_page_context_created": "Called after page and context are created - ideal for authentication",
-        "before_goto": "Called before navigating to the target URL",
-        "after_goto": "Called after navigation is complete",
-        "on_user_agent_updated": "Called when user agent is updated",
-        "on_execution_started": "Called when custom JavaScript execution begins",
-        "before_retrieve_html": "Called before retrieving the final HTML - ideal for scrolling",
-        "before_return_html": "Called just before returning the HTML content"
-    }
-    return descriptions.get(hook_point, "")
-
-
-def get_hook_example(hook_point: str) -> str:
-    """Get example code for each hook point"""
-    examples = {
-        "on_page_context_created": """async def hook(page, context, **kwargs):
-    # Add authentication cookie
-    await context.add_cookies([{
-        'name': 'session',
-        'value': 'my-session-id',
-        'domain': '.example.com'
-    }])
-    return page""",
-        
-        "before_retrieve_html": """async def hook(page, context, **kwargs):
-    # Scroll to load lazy content
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(2000)
-    return page""",
-        
-        "before_goto": """async def hook(page, context, url, **kwargs):
-    # Set custom headers
-    await page.set_extra_http_headers({
-        'X-Custom-Header': 'value'
-    })
-    return page"""
-    }
-    return examples.get(hook_point, "# Implement your hook logic here\nreturn page")
-
-
 @app.get(config["observability"]["health_check"]["endpoint"])
 async def health():
     return {"status": "ok", "timestamp": time.time(), "version": __version__}
@@ -594,86 +429,46 @@ async def metrics():
 @mcp_tool("crawl")
 async def crawl(
     request: Request,
-    crawl_request: CrawlRequestWithHooks,
+    crawl_request: CrawlRequest,
     _td: Dict = Depends(token_dep),
 ):
     """
     Crawl a list of URLs and return the results as JSON.
-    For streaming responses, use /crawl/stream endpoint.
-    Supports optional user-provided hook functions for customization.
     """
     if not crawl_request.urls:
         raise HTTPException(400, "At least one URL required")
-    # Check whether it is a redirection for a streaming request
-    crawler_config = CrawlerRunConfig.load(crawl_request.crawler_config)
-    if crawler_config.stream:
-        return await stream_process(crawl_request=crawl_request)
-    
-    # Prepare hooks config if provided
-    hooks_config = None
-    if crawl_request.hooks:
-        hooks_config = {
-            'code': crawl_request.hooks.code,
-            'timeout': crawl_request.hooks.timeout
-        }
-    
-    results = await handle_crawl_request(
+    res = await handle_crawl_request(
         urls=crawl_request.urls,
         browser_config=crawl_request.browser_config,
         crawler_config=crawl_request.crawler_config,
         config=config,
-        hooks_config=hooks_config
     )
-    # check if all of the results are not successful
-    if all(not result["success"] for result in results["results"]):
-        raise HTTPException(500, f"Crawl request failed: {results['results'][0]['error_message']}")
-    return JSONResponse(results)
+    return JSONResponse(res)
 
 
 @app.post("/crawl/stream")
 @limiter.limit(config["rate_limiting"]["default_limit"])
 async def crawl_stream(
     request: Request,
-    crawl_request: CrawlRequestWithHooks,
+    crawl_request: CrawlRequest,
     _td: Dict = Depends(token_dep),
 ):
     if not crawl_request.urls:
         raise HTTPException(400, "At least one URL required")
-
-    return await stream_process(crawl_request=crawl_request)
-
-async def stream_process(crawl_request: CrawlRequestWithHooks):
-    
-    # Prepare hooks config if provided# Prepare hooks config if provided
-    hooks_config = None
-    if crawl_request.hooks:
-        hooks_config = {
-            'code': crawl_request.hooks.code,
-            'timeout': crawl_request.hooks.timeout
-        }
-    
-    crawler, gen, hooks_info = await handle_stream_crawl_request(
+    crawler, gen = await handle_stream_crawl_request(
         urls=crawl_request.urls,
         browser_config=crawl_request.browser_config,
         crawler_config=crawl_request.crawler_config,
         config=config,
-        hooks_config=hooks_config
     )
-    
-    # Add hooks info to response headers if available
-    headers = {
-        "Cache-Control": "no-cache",
-        "Connection": "keep-alive",
-        "X-Stream-Status": "active",
-    }
-    if hooks_info:
-        import json
-        headers["X-Hooks-Status"] = json.dumps(hooks_info['status']['status'])
-    
     return StreamingResponse(
         stream_results(crawler, gen),
         media_type="application/x-ndjson",
-        headers=headers,
+        headers={
+            "Cache-Control": "no-cache",
+            "Connection": "keep-alive",
+            "X-Stream-Status": "active",
+        },
     )
 
 

deploy/docker/static/playground/index.html

@@ -167,14 +167,11 @@
             </a>
         </h1>
 
-        <div class="ml-auto flex items-center space-x-4">
-            <a href="/dashboard" class="text-xs text-secondary hover:text-primary underline">Monitor</a>
-            <div class="flex space-x-2">
-                <button id="play-tab"
-                    class="px-3 py-1 rounded-t bg-surface border border-b-0 border-border text-primary">Playground</button>
-                <button id="stress-tab" class="px-3 py-1 rounded-t border border-border hover:bg-surface">Stress
-                    Test</button>
-            </div>
+        <div class="ml-auto flex space-x-2">
+            <button id="play-tab"
+                class="px-3 py-1 rounded-t bg-surface border border-b-0 border-border text-primary">Playground</button>
+            <button id="stress-tab" class="px-3 py-1 rounded-t border border-border hover:bg-surface">Stress
+                Test</button>
         </div>
     </header>
 
@@ -374,7 +371,7 @@
 
                 <div class="flex items-center">
                     <input id="st-stream" type="checkbox" class="mr-2">
-                    <label for="st-stream" class="text-sm">Enable streaming mode</label>
+                    <label for="st-stream" class="text-sm">Use /crawl/stream</label>
                     <button id="st-run"
                         class="ml-auto bg-accent text-dark px-4 py-2 rounded hover:bg-opacity-90 font-medium">
                         Run Stress Test
@@ -599,14 +596,6 @@
             forceHighlightElement(curlCodeEl);
         }
 
-        // Detect if stream is requested inside payload
-        function shouldUseStream(payload) {
-            const toBool = (v) => v === true || (typeof v === 'string' && v.toLowerCase() === 'true');
-            const fromCrawler = payload && payload.crawler_config && payload.crawler_config.params && payload.crawler_config.params.stream;
-            const direct = payload && payload.stream;
-            return toBool(fromCrawler) || toBool(direct);
-        }
-
         // Main run function
         async function runCrawl() {
             const endpoint = document.getElementById('endpoint').value;
@@ -622,24 +611,16 @@
                         : { browser_config: cfgJson };
                 }
             } catch (err) {
-                const codeText = cm.getValue();
-                const streamFlag = /stream\s*=\s*True/i.test(codeText);
-                const isCrawlEndpoint = document.getElementById('endpoint').value === 'crawl';
-                if (isCrawlEndpoint && streamFlag) {
-                    // Fallback: proceed with minimal config only for stream
-                    advConfig = { crawler_config: { stream: true } };
-                } else {
-                    updateStatus('error');
-                    document.querySelector('#response-content code').textContent =
-                        JSON.stringify({ error: err.message }, null, 2);
-                    forceHighlightElement(document.querySelector('#response-content code'));
-                    return; // stop run
-                }
+                updateStatus('error');
+                document.querySelector('#response-content code').textContent =
+                    JSON.stringify({ error: err.message }, null, 2);
+                forceHighlightElement(document.querySelector('#response-content code'));
+                return; // stop run
             }
 
             const endpointMap = {
                 crawl: '/crawl',
-                crawl_stream: '/crawl/stream', // Keep for backward compatibility
+                // crawl_stream: '/crawl/stream',
                 md: '/md',
                 llm: '/llm'
             };
@@ -666,7 +647,7 @@
                 // This will be handled directly in the fetch below
                 payload = null;
             } else {
-                // Default payload for /crawl (supports both streaming and batch modes)
+                // Default payload for /crawl and /crawl/stream
                 payload = {
                     urls,
                     ...advConfig
@@ -678,7 +659,6 @@
             try {
                 const startTime = performance.now();
                 let response, responseData;
-                const useStreamOverride = (endpoint === 'crawl') && shouldUseStream(payload);
 
                 if (endpoint === 'llm') {
                     // Special handling for LLM endpoint which uses URL pattern: /llm/{encoded_url}?q={query}
@@ -701,8 +681,8 @@
                     document.querySelector('#response-content code').textContent = JSON.stringify(responseData, null, 2);
                     document.querySelector('#response-content code').className = 'json hljs';
                     forceHighlightElement(document.querySelector('#response-content code'));
-                } else if (endpoint === 'crawl_stream' || useStreamOverride) {
-                    // Stream processing - now handled directly by /crawl endpoint
+                } else if (endpoint === 'crawl_stream') {
+                    // Stream processing
                     response = await fetch(api, {
                         method: 'POST',
                         headers: { 'Content-Type': 'application/json' },
@@ -777,7 +757,6 @@
                     const question = document.getElementById('llm-question').value.trim() || "What is this page about?";
                     generateSnippets(`${api}/${encodedUrl}?q=${encodeURIComponent(question)}`, null, 'GET');
                 } else {
-                    // Use the same API endpoint for both streaming and non-streaming
                     generateSnippets(api, payload);
                 }
             } catch (error) {
@@ -807,7 +786,7 @@
             document.getElementById('stress-avg-time').textContent = '0';
             document.getElementById('stress-peak-mem').textContent = '0';
 
-            const api = '/crawl'; // Always use /crawl - backend handles streaming internally
+            const api = useStream ? '/crawl/stream' : '/crawl';
             const urls = Array.from({ length: total }, (_, i) => `https://httpbin.org/anything/stress-${i}-${Date.now()}`);
             const chunks = [];
 

deploy/docker/test-websocket.py

@@ -1,34 +0,0 @@
-#!/usr/bin/env python3
-"""
-Quick WebSocket test - Connect to monitor WebSocket and print updates
-"""
-import asyncio
-import websockets
-import json
-
-async def test_websocket():
-    uri = "ws://localhost:11235/monitor/ws"
-    print(f"Connecting to {uri}...")
-
-    try:
-        async with websockets.connect(uri) as websocket:
-            print("✅ Connected!")
-
-            # Receive and print 5 updates
-            for i in range(5):
-                message = await websocket.recv()
-                data = json.loads(message)
-                print(f"\n📊 Update #{i+1}:")
-                print(f"  - Health: CPU {data['health']['container']['cpu_percent']}%, Memory {data['health']['container']['memory_percent']}%")
-                print(f"  - Active Requests: {len(data['requests']['active'])}")
-                print(f"  - Browsers: {len(data['browsers'])}")
-
-    except Exception as e:
-        print(f"❌ Error: {e}")
-        return 1
-
-    print("\n✅ WebSocket test passed!")
-    return 0
-
-if __name__ == "__main__":
-    exit(asyncio.run(test_websocket()))

deploy/docker/tests/cli/README.md

@@ -1,298 +0,0 @@
-# Crawl4AI CLI E2E Test Suite
-
-Comprehensive end-to-end tests for the `crwl server` command-line interface.
-
-## Overview
-
-This test suite validates all aspects of the Docker server CLI including:
-- Basic operations (start, stop, status, logs)
-- Advanced features (scaling, modes, custom configurations)
-- Resource management and stress testing
-- Dashboard UI functionality
-- Edge cases and error handling
-
-**Total Tests:** 32
-- Basic: 8 tests
-- Advanced: 8 tests
-- Resource: 5 tests
-- Dashboard: 1 test
-- Edge Cases: 10 tests
-
-## Prerequisites
-
-```bash
-# Activate virtual environment
-source venv/bin/activate
-
-# For dashboard tests, install Playwright
-pip install playwright
-playwright install chromium
-
-# Ensure Docker is running
-docker ps
-```
-
-## Quick Start
-
-```bash
-# Run all tests (except dashboard)
-./run_tests.sh
-
-# Run specific category
-./run_tests.sh basic
-./run_tests.sh advanced
-./run_tests.sh resource
-./run_tests.sh edge
-
-# Run dashboard tests (slower, includes UI screenshots)
-./run_tests.sh dashboard
-
-# Run specific test
-./run_tests.sh basic 01
-./run_tests.sh edge 05
-```
-
-## Test Categories
-
-### 1. Basic Tests (`basic/`)
-
-Core CLI functionality tests.
-
-| Test | Description | Expected Result |
-|------|-------------|----------------|
-| `test_01_start_default.sh` | Start server with defaults | 1 replica on port 11235 |
-| `test_02_status.sh` | Check server status | Shows running state and details |
-| `test_03_stop.sh` | Stop server | Clean shutdown, port freed |
-| `test_04_start_custom_port.sh` | Start on port 8080 | Server on custom port |
-| `test_05_start_replicas.sh` | Start with 3 replicas | Multi-container deployment |
-| `test_06_logs.sh` | View server logs | Logs displayed correctly |
-| `test_07_restart.sh` | Restart server | Preserves configuration |
-| `test_08_cleanup.sh` | Force cleanup | All resources removed |
-
-### 2. Advanced Tests (`advanced/`)
-
-Advanced features and configurations.
-
-| Test | Description | Expected Result |
-|------|-------------|----------------|
-| `test_01_scale_up.sh` | Scale 3 → 5 replicas | Live scaling without downtime |
-| `test_02_scale_down.sh` | Scale 5 → 2 replicas | Graceful container removal |
-| `test_03_mode_single.sh` | Explicit single mode | Single container deployment |
-| `test_04_mode_compose.sh` | Compose mode with Nginx | Multi-container with load balancer |
-| `test_05_custom_image.sh` | Custom image specification | Uses specified image tag |
-| `test_06_env_file.sh` | Environment file loading | Variables loaded correctly |
-| `test_07_stop_remove_volumes.sh` | Stop with volume removal | Volumes cleaned up |
-| `test_08_restart_with_scale.sh` | Restart with new replica count | Configuration updated |
-
-### 3. Resource Tests (`resource/`)
-
-Resource monitoring and stress testing.
-
-| Test | Description | Expected Result |
-|------|-------------|----------------|
-| `test_01_memory_monitoring.sh` | Monitor memory usage | Stats accessible and reasonable |
-| `test_02_cpu_stress.sh` | Concurrent request load | Handles load without errors |
-| `test_03_max_replicas.sh` | 10 replicas stress test | Maximum scale works correctly |
-| `test_04_cleanup_verification.sh` | Verify resource cleanup | All Docker resources removed |
-| `test_05_long_running.sh` | 5-minute stability test | Server remains stable |
-
-### 4. Dashboard Tests (`dashboard/`)
-
-Dashboard UI functionality with Playwright.
-
-| Test | Description | Expected Result |
-|------|-------------|----------------|
-| `test_01_dashboard_ui.py` | Full dashboard UI test | All UI elements functional |
-
-**Dashboard Test Details:**
-- Starts server with 3 replicas
-- Runs demo script to generate activity
-- Uses Playwright to:
-  - Take screenshots of dashboard
-  - Verify container filter buttons
-  - Check WebSocket connection
-  - Validate timeline charts
-  - Test all dashboard sections
-
-**Screenshots saved to:** `dashboard/screenshots/`
-
-### 5. Edge Case Tests (`edge/`)
-
-Error handling and validation.
-
-| Test | Description | Expected Result |
-|------|-------------|----------------|
-| `test_01_already_running.sh` | Start when already running | Proper error message |
-| `test_02_not_running.sh` | Operations when stopped | Appropriate errors |
-| `test_03_scale_single_mode.sh` | Scale single container | Error with guidance |
-| `test_04_invalid_port.sh` | Invalid port numbers | Validation errors |
-| `test_05_invalid_replicas.sh` | Invalid replica counts | Validation errors |
-| `test_06_missing_env_file.sh` | Non-existent env file | File not found error |
-| `test_07_port_in_use.sh` | Port already occupied | Port conflict error |
-| `test_08_state_corruption.sh` | Corrupted state file | Cleanup recovers |
-| `test_09_network_conflict.sh` | Docker network collision | Handles gracefully |
-| `test_10_rapid_operations.sh` | Rapid start/stop cycles | No corruption |
-
-## Test Execution Workflow
-
-Each test follows this pattern:
-
-1. **Setup:** Clean state, activate venv
-2. **Execute:** Run test commands
-3. **Verify:** Check results and assertions
-4. **Cleanup:** Stop server, remove resources
-
-## Running Individual Tests
-
-```bash
-# Make test executable (if needed)
-chmod +x deploy/docker/tests/cli/basic/test_01_start_default.sh
-
-# Run directly
-./deploy/docker/tests/cli/basic/test_01_start_default.sh
-
-# Or use the test runner
-./run_tests.sh basic 01
-```
-
-## Interpreting Results
-
-### Success Output
-```
-✅ Test passed: [description]
-```
-
-### Failure Output
-```
-❌ Test failed: [error message]
-```
-
-### Warning Output
-```
-⚠️  Warning: [issue description]
-```
-
-## Common Issues
-
-### Docker Not Running
-```
-Error: Docker daemon not running
-Solution: Start Docker Desktop or Docker daemon
-```
-
-### Port Already In Use
-```
-Error: Port 11235 is already in use
-Solution: Stop existing server or use different port
-```
-
-### Virtual Environment Not Found
-```
-Warning: venv not found
-Solution: Create venv and activate it
-```
-
-### Playwright Not Installed
-```
-Error: playwright module not found
-Solution: pip install playwright && playwright install chromium
-```
-
-## Test Development
-
-### Adding New Tests
-
-1. **Choose category:** basic, advanced, resource, dashboard, or edge
-2. **Create test file:** Follow naming pattern `test_XX_description.sh`
-3. **Use template:**
-
-```bash
-#!/bin/bash
-# Test: [Description]
-# Expected: [What should happen]
-
-set -e
-
-echo "=== Test: [Name] ==="
-echo ""
-
-source venv/bin/activate
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Test logic here
-
-# Cleanup
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: [success message]"
-```
-
-4. **Make executable:** `chmod +x test_XX_description.sh`
-5. **Test it:** `./test_XX_description.sh`
-6. **Add to runner:** Tests are auto-discovered by `run_tests.sh`
-
-## CI/CD Integration
-
-These tests can be integrated into CI/CD pipelines:
-
-```yaml
-# Example GitHub Actions
-- name: Run CLI Tests
-  run: |
-    source venv/bin/activate
-    cd deploy/docker/tests/cli
-    ./run_tests.sh all
-```
-
-## Performance Considerations
-
-- **Basic tests:** ~2-5 minutes total
-- **Advanced tests:** ~5-10 minutes total
-- **Resource tests:** ~10-15 minutes total (including 5-min stability test)
-- **Dashboard test:** ~3-5 minutes
-- **Edge case tests:** ~5-8 minutes total
-
-**Full suite:** ~30-45 minutes
-
-## Best Practices
-
-1. **Always cleanup:** Each test should cleanup after itself
-2. **Wait for readiness:** Add sleep after starting servers
-3. **Check health:** Verify health endpoint before assertions
-4. **Graceful failures:** Use `|| true` to continue on expected failures
-5. **Clear messages:** Output should clearly indicate what's being tested
-
-## Troubleshooting
-
-### Tests Hanging
-- Check if Docker containers are stuck
-- Look for port conflicts
-- Verify network connectivity
-
-### Intermittent Failures
-- Increase sleep durations for slower systems
-- Check system resources (memory, CPU)
-- Verify Docker has enough resources allocated
-
-### All Tests Failing
-- Verify Docker is running: `docker ps`
-- Check CLI is installed: `which crwl`
-- Activate venv: `source venv/bin/activate`
-- Check server manager: `crwl server status`
-
-## Contributing
-
-When adding new tests:
-1. Follow existing naming conventions
-2. Add comprehensive documentation
-3. Test on clean system
-4. Update this README
-5. Ensure cleanup is robust
-
-## License
-
-Same as Crawl4AI project license.

deploy/docker/tests/cli/TEST_RESULTS.md

@@ -1,163 +0,0 @@
-# CLI Test Suite - Execution Results
-
-**Date:** 2025-10-20
-**Status:** ✅ PASSED
-
-## Summary
-
-| Category | Total | Passed | Failed | Skipped |
-|----------|-------|--------|--------|---------|
-| Basic Tests | 8 | 8 | 0 | 0 |
-| Advanced Tests | 8 | 8 | 0 | 0 |
-| Edge Case Tests | 10 | 10 | 0 | 0 |
-| Resource Tests | 3 | 3 | 0 | 2 (skipped) |
-| Dashboard UI Tests | 0 | 0 | 0 | 1 (not run) |
-| **TOTAL** | **29** | **29** | **0** | **3** |
-
-**Success Rate:** 100% (29/29 tests passed)
-
-## Test Results by Category
-
-### ✅ Basic Tests (8/8 Passed)
-
-| Test | Status | Notes |
-|------|--------|-------|
-| test_01_start_default | ✅ PASS | Server starts with defaults (1 replica, port 11235) |
-| test_02_status | ✅ PASS | Status command shows correct information |
-| test_03_stop | ✅ PASS | Server stops cleanly, port freed |
-| test_04_start_custom_port | ✅ PASS | Server starts on port 8080 |
-| test_05_start_replicas | ✅ PASS | Compose mode with 3 replicas |
-| test_06_logs | ✅ PASS | Logs retrieved successfully |
-| test_07_restart | ✅ PASS | Server restarts preserving config (2 replicas) |
-| test_08_cleanup | ✅ PASS | Force cleanup removes all resources |
-
-### ✅ Advanced Tests (8/8 Passed)
-
-| Test | Status | Notes |
-|------|--------|-------|
-| test_01_scale_up | ✅ PASS | Scaled 3 → 5 replicas successfully |
-| test_02_scale_down | ✅ PASS | Scaled 5 → 2 replicas successfully |
-| test_03_mode_single | ✅ PASS | Explicit single mode works |
-| test_04_mode_compose | ✅ PASS | Compose mode with 3 replicas and Nginx |
-| test_05_custom_image | ✅ PASS | Custom image specification works |
-| test_06_env_file | ✅ PASS | Environment file loading works |
-| test_07_stop_remove_volumes | ✅ PASS | Volumes handled during cleanup |
-| test_08_restart_with_scale | ✅ PASS | Restart with scale change (2 → 4 replicas) |
-
-### ✅ Edge Case Tests (10/10 Passed)
-
-| Test | Status | Notes |
-|------|--------|-------|
-| test_01_already_running | ✅ PASS | Proper error for duplicate start |
-| test_02_not_running | ✅ PASS | Appropriate errors when server stopped |
-| test_03_scale_single_mode | ✅ PASS | Cannot scale single mode (expected error) |
-| test_04_invalid_port | ✅ PASS | Rejected ports: 0, -1, 99999, 65536 |
-| test_05_invalid_replicas | ✅ PASS | Rejected replicas: 0, -1, 101 |
-| test_06_missing_env_file | ✅ PASS | File not found error |
-| test_07_port_in_use | ✅ PASS | Port conflict detected |
-| test_08_state_corruption | ✅ PASS | Corrupted state handled gracefully |
-| test_09_network_conflict | ✅ PASS | Network collision handled |
-| test_10_rapid_operations | ✅ PASS | Rapid start/stop/restart cycles work |
-
-### ✅ Resource Tests (3/5 Completed)
-
-| Test | Status | Notes |
-|------|--------|-------|
-| test_01_memory_monitoring | ✅ PASS | Baseline: 9.6%, After: 12.1%, Pool: 450 MB |
-| test_02_cpu_stress | ✅ PASS | Handled 10 concurrent requests |
-| test_03_max_replicas | ⏭️ SKIP | Takes ~2 minutes (10 replicas) |
-| test_04_cleanup_verification | ✅ PASS | All resources cleaned up |
-| test_05_long_running | ⏭️ SKIP | Takes 5 minutes |
-
-### Dashboard UI Tests (Not Run)
-
-| Test | Status | Notes |
-|------|--------|-------|
-| test_01_dashboard_ui | ⏭️ SKIP | Requires Playwright, takes ~5 minutes |
-
-## Key Findings
-
-### ✅ Strengths
-
-1. **Robust Error Handling**
-   - All invalid inputs properly rejected with clear error messages
-   - State corruption detected and recovered automatically
-   - Port conflicts identified before container start
-
-2. **Scaling Functionality**
-   - Live scaling works smoothly (3 → 5 → 2 replicas)
-   - Mode detection works correctly (single vs compose)
-   - Restart preserves configuration
-
-3. **Resource Management**
-   - Cleanup thoroughly removes all Docker resources
-   - Memory usage reasonable (9.6% → 12.1% with 5 crawls)
-   - Concurrent requests handled without errors
-
-4. **CLI Usability**
-   - Clear, color-coded output
-   - Helpful error messages with hints
-   - Status command shows comprehensive info
-
-### 📊 Performance Observations
-
-- **Startup Time:** ~5 seconds for single container, ~10-12 seconds for 3 replicas
-- **Memory Usage:** Baseline 9.6%, increases to 12.1% after 5 crawls
-- **Browser Pool:** ~450 MB memory usage (reasonable)
-- **Concurrent Load:** Successfully handled 10 parallel requests
-
-### 🔧 Issues Found
-
-None! All 29 tests passed successfully.
-
-## Test Execution Notes
-
-### Test Environment
-- **OS:** macOS (Darwin 24.3.0)
-- **Docker:** Running
-- **Python:** Virtual environment activated
-- **Date:** 2025-10-20
-
-### Skipped Tests Rationale
-1. **test_03_max_replicas:** Takes ~2 minutes to start 10 replicas
-2. **test_05_long_running:** 5-minute stability test
-3. **test_01_dashboard_ui:** Requires Playwright installation, UI screenshots
-
-These tests are fully implemented and can be run manually when time permits.
-
-## Verification Commands
-
-All tests can be re-run with:
-
-```bash
-# Individual test
-bash deploy/docker/tests/cli/basic/test_01_start_default.sh
-
-# Category
-./deploy/docker/tests/cli/run_tests.sh basic
-
-# All tests
-./deploy/docker/tests/cli/run_tests.sh all
-```
-
-## Conclusion
-
-✅ **The CLI test suite is comprehensive and thoroughly validates all functionality.**
-
-- All core features tested and working
-- Error handling is robust
-- Edge cases properly covered
-- Resource management verified
-- No bugs or issues found
-
-The Crawl4AI Docker server CLI is production-ready with excellent test coverage.
-
----
-
-**Next Steps:**
-1. Run skipped tests when time permits (optional)
-2. Integrate into CI/CD pipeline
-3. Run dashboard UI test for visual verification
-4. Document test results in main README
-
-**Recommendation:** ✅ Ready for production use

deploy/docker/tests/cli/TEST_SUMMARY.md

@@ -1,300 +0,0 @@
-# CLI Test Suite - Implementation Summary
-
-## Completed Implementation
-
-Successfully created a comprehensive E2E test suite for the Crawl4AI Docker server CLI.
-
-## Test Suite Overview
-
-### Total Tests: 32
-
-#### 1. Basic Tests (8 tests) ✅
-- `test_01_start_default.sh` - Start with default settings
-- `test_02_status.sh` - Status command validation
-- `test_03_stop.sh` - Clean server shutdown
-- `test_04_start_custom_port.sh` - Custom port configuration
-- `test_05_start_replicas.sh` - Multi-replica deployment
-- `test_06_logs.sh` - Log retrieval
-- `test_07_restart.sh` - Server restart
-- `test_08_cleanup.sh` - Force cleanup
-
-#### 2. Advanced Tests (8 tests) ✅
-- `test_01_scale_up.sh` - Scale from 3 to 5 replicas
-- `test_02_scale_down.sh` - Scale from 5 to 2 replicas
-- `test_03_mode_single.sh` - Explicit single mode
-- `test_04_mode_compose.sh` - Compose mode with Nginx
-- `test_05_custom_image.sh` - Custom image specification
-- `test_06_env_file.sh` - Environment file loading
-- `test_07_stop_remove_volumes.sh` - Volume cleanup
-- `test_08_restart_with_scale.sh` - Restart with scale change
-
-#### 3. Resource Tests (5 tests) ✅
-- `test_01_memory_monitoring.sh` - Memory usage tracking
-- `test_02_cpu_stress.sh` - CPU stress with concurrent requests
-- `test_03_max_replicas.sh` - Maximum (10) replicas stress test
-- `test_04_cleanup_verification.sh` - Resource cleanup verification
-- `test_05_long_running.sh` - 5-minute stability test
-
-#### 4. Dashboard UI Test (1 test) ✅
-- `test_01_dashboard_ui.py` - Comprehensive Playwright test
-  - Automated browser testing
-  - Screenshot capture (7 screenshots per run)
-  - UI element validation
-  - Container filter testing
-  - WebSocket connection verification
-
-#### 5. Edge Case Tests (10 tests) ✅
-- `test_01_already_running.sh` - Duplicate start attempt
-- `test_02_not_running.sh` - Operations on stopped server
-- `test_03_scale_single_mode.sh` - Invalid scaling operation
-- `test_04_invalid_port.sh` - Port validation (0, -1, 99999, 65536)
-- `test_05_invalid_replicas.sh` - Replica validation (0, -1, 101)
-- `test_06_missing_env_file.sh` - Non-existent env file
-- `test_07_port_in_use.sh` - Port conflict detection
-- `test_08_state_corruption.sh` - State file corruption recovery
-- `test_09_network_conflict.sh` - Docker network collision handling
-- `test_10_rapid_operations.sh` - Rapid start/stop cycles
-
-## Test Infrastructure
-
-### Master Test Runner (`run_tests.sh`)
-- Run all tests or specific categories
-- Color-coded output (green/red/yellow)
-- Test counters (passed/failed/skipped)
-- Summary statistics
-- Individual test execution support
-
-### Documentation
-- `README.md` - Comprehensive test documentation
-  - Test descriptions and expected results
-  - Usage instructions
-  - Troubleshooting guide
-  - Best practices
-  - CI/CD integration examples
-
-- `TEST_SUMMARY.md` - Implementation summary (this file)
-
-## File Structure
-
-```
-deploy/docker/tests/cli/
-├── README.md                      # Main documentation
-├── TEST_SUMMARY.md                # This summary
-├── run_tests.sh                   # Master test runner
-│
-├── basic/                         # Basic CLI tests
-│   ├── test_01_start_default.sh
-│   ├── test_02_status.sh
-│   ├── test_03_stop.sh
-│   ├── test_04_start_custom_port.sh
-│   ├── test_05_start_replicas.sh
-│   ├── test_06_logs.sh
-│   ├── test_07_restart.sh
-│   └── test_08_cleanup.sh
-│
-├── advanced/                      # Advanced feature tests
-│   ├── test_01_scale_up.sh
-│   ├── test_02_scale_down.sh
-│   ├── test_03_mode_single.sh
-│   ├── test_04_mode_compose.sh
-│   ├── test_05_custom_image.sh
-│   ├── test_06_env_file.sh
-│   ├── test_07_stop_remove_volumes.sh
-│   └── test_08_restart_with_scale.sh
-│
-├── resource/                      # Resource and stress tests
-│   ├── test_01_memory_monitoring.sh
-│   ├── test_02_cpu_stress.sh
-│   ├── test_03_max_replicas.sh
-│   ├── test_04_cleanup_verification.sh
-│   └── test_05_long_running.sh
-│
-├── dashboard/                     # Dashboard UI tests
-│   ├── test_01_dashboard_ui.py
-│   ├── run_dashboard_test.sh
-│   └── screenshots/               # Auto-generated screenshots
-│
-└── edge/                          # Edge case tests
-    ├── test_01_already_running.sh
-    ├── test_02_not_running.sh
-    ├── test_03_scale_single_mode.sh
-    ├── test_04_invalid_port.sh
-    ├── test_05_invalid_replicas.sh
-    ├── test_06_missing_env_file.sh
-    ├── test_07_port_in_use.sh
-    ├── test_08_state_corruption.sh
-    ├── test_09_network_conflict.sh
-    └── test_10_rapid_operations.sh
-```
-
-## Usage Examples
-
-### Run All Tests (except dashboard)
-```bash
-./run_tests.sh
-```
-
-### Run Specific Category
-```bash
-./run_tests.sh basic
-./run_tests.sh advanced
-./run_tests.sh resource
-./run_tests.sh edge
-```
-
-### Run Dashboard Tests
-```bash
-./run_tests.sh dashboard
-# or
-./dashboard/run_dashboard_test.sh
-```
-
-### Run Individual Test
-```bash
-./run_tests.sh basic 01
-./run_tests.sh edge 05
-```
-
-### Direct Execution
-```bash
-./basic/test_01_start_default.sh
-./edge/test_01_already_running.sh
-```
-
-## Test Verification
-
-The following tests have been verified working:
-- ✅ `test_01_start_default.sh` - PASSED
-- ✅ `test_02_status.sh` - PASSED
-- ✅ `test_03_stop.sh` - PASSED
-- ✅ `test_03_mode_single.sh` - PASSED
-- ✅ `test_01_already_running.sh` - PASSED
-- ✅ Master test runner - PASSED
-
-## Key Features
-
-### Robustness
-- Each test cleans up after itself
-- Handles expected failures gracefully
-- Waits for server readiness before assertions
-- Comprehensive error checking
-
-### Clarity
-- Clear test descriptions
-- Colored output for easy interpretation
-- Detailed error messages
-- Progress indicators
-
-### Completeness
-- Covers all CLI commands
-- Tests success and failure paths
-- Validates error messages
-- Checks resource cleanup
-
-### Maintainability
-- Consistent structure across all tests
-- Well-documented code
-- Modular test design
-- Easy to add new tests
-
-## Test Coverage
-
-### CLI Commands Tested
-- ✅ `crwl server start` (all options)
-- ✅ `crwl server stop` (with/without volumes)
-- ✅ `crwl server status`
-- ✅ `crwl server scale`
-- ✅ `crwl server logs`
-- ✅ `crwl server restart`
-- ✅ `crwl server cleanup`
-
-### Deployment Modes Tested
-- ✅ Single container mode
-- ✅ Compose mode (multi-container)
-- ✅ Auto mode detection
-
-### Features Tested
-- ✅ Custom ports
-- ✅ Custom replicas (1-10)
-- ✅ Custom images
-- ✅ Environment files
-- ✅ Live scaling
-- ✅ Configuration persistence
-- ✅ Resource cleanup
-- ✅ Dashboard UI
-
-### Error Handling Tested
-- ✅ Invalid inputs (ports, replicas)
-- ✅ Missing files
-- ✅ Port conflicts
-- ✅ State corruption
-- ✅ Network conflicts
-- ✅ Rapid operations
-- ✅ Duplicate operations
-
-## Performance
-
-### Estimated Execution Times
-- Basic tests: ~2-5 minutes
-- Advanced tests: ~5-10 minutes
-- Resource tests: ~10-15 minutes
-- Dashboard test: ~3-5 minutes
-- Edge case tests: ~5-8 minutes
-
-**Total: ~30-45 minutes for full suite**
-
-## Next Steps
-
-### Recommended Actions
-1. ✅ Run full test suite to verify all tests
-2. ✅ Test dashboard UI test with Playwright
-3. ✅ Verify long-running stability test
-4. ✅ Integrate into CI/CD pipeline
-5. ✅ Add to project documentation
-
-### Future Enhancements
-- Add performance benchmarking
-- Add load testing scenarios
-- Add network failure simulation
-- Add disk space tests
-- Add security tests
-- Add multi-host tests (Swarm mode)
-
-## Notes
-
-### Dependencies
-- Docker running
-- Virtual environment activated
-- `jq` for JSON parsing (installed by default on most systems)
-- `bc` for calculations (installed by default on most systems)
-- Playwright for dashboard tests (optional)
-
-### Test Philosophy
-- **Small:** Each test focuses on one specific aspect
-- **Smart:** Tests verify both success and failure paths
-- **Strong:** Robust cleanup and error handling
-- **Self-contained:** Each test is independent
-
-### Known Limitations
-- Dashboard test requires Playwright installation
-- Long-running test takes 5 minutes
-- Max replicas test requires significant system resources
-- Some tests may need adjustment for slower systems
-
-## Success Criteria
-
-✅ All 32 tests created
-✅ Test runner implemented
-✅ Documentation complete
-✅ Tests verified working
-✅ File structure organized
-✅ Error handling comprehensive
-✅ Cleanup mechanisms robust
-
-## Conclusion
-
-The CLI test suite is complete and ready for use. It provides comprehensive coverage of all CLI functionality, validates error handling, and ensures robustness across various scenarios.
-
-**Status:** ✅ COMPLETE
-**Date:** 2025-10-20
-**Tests:** 32 (8 basic + 8 advanced + 5 resource + 1 dashboard + 10 edge)

deploy/docker/tests/cli/advanced/test_01_scale_up.sh

@@ -1,56 +0,0 @@
-#!/bin/bash
-# Test: Scale server up from 3 to 5 replicas
-# Expected: Server scales without downtime
-
-set -e
-
-echo "=== Test: Scale Up (3 → 5 replicas) ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start with 3 replicas
-echo "Starting server with 3 replicas..."
-crwl server start --replicas 3 >/dev/null 2>&1
-sleep 10
-
-# Verify 3 replicas
-STATUS=$(crwl server status | grep "Replicas" || echo "")
-echo "Initial status: $STATUS"
-
-# Scale up to 5
-echo ""
-echo "Scaling up to 5 replicas..."
-crwl server scale 5
-
-sleep 10
-
-# Verify 5 replicas
-STATUS=$(crwl server status)
-echo "$STATUS"
-
-if ! echo "$STATUS" | grep -q "5"; then
-    echo "❌ Status does not show 5 replicas"
-    crwl server stop
-    exit 1
-fi
-
-# Verify health during scaling
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed after scaling"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Successfully scaled from 3 to 5 replicas"

deploy/docker/tests/cli/advanced/test_02_scale_down.sh

@@ -1,56 +0,0 @@
-#!/bin/bash
-# Test: Scale server down from 5 to 2 replicas
-# Expected: Server scales down gracefully
-
-set -e
-
-echo "=== Test: Scale Down (5 → 2 replicas) ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start with 5 replicas
-echo "Starting server with 5 replicas..."
-crwl server start --replicas 5 >/dev/null 2>&1
-sleep 12
-
-# Verify 5 replicas
-STATUS=$(crwl server status | grep "Replicas" || echo "")
-echo "Initial status: $STATUS"
-
-# Scale down to 2
-echo ""
-echo "Scaling down to 2 replicas..."
-crwl server scale 2
-
-sleep 8
-
-# Verify 2 replicas
-STATUS=$(crwl server status)
-echo "$STATUS"
-
-if ! echo "$STATUS" | grep -q "2"; then
-    echo "❌ Status does not show 2 replicas"
-    crwl server stop
-    exit 1
-fi
-
-# Verify health after scaling down
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed after scaling down"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Successfully scaled down from 5 to 2 replicas"

deploy/docker/tests/cli/advanced/test_03_mode_single.sh

@@ -1,52 +0,0 @@
-#!/bin/bash
-# Test: Start server explicitly in single mode
-# Expected: Server starts in single mode
-
-set -e
-
-echo "=== Test: Explicit Single Mode ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start in single mode explicitly
-echo "Starting server in single mode..."
-crwl server start --mode single
-
-sleep 5
-
-# Check mode
-STATUS=$(crwl server status)
-echo "$STATUS"
-
-if ! echo "$STATUS" | grep -q "single"; then
-    echo "❌ Mode is not 'single'"
-    crwl server stop
-    exit 1
-fi
-
-if ! echo "$STATUS" | grep -q "1"; then
-    echo "❌ Should have 1 replica in single mode"
-    crwl server stop
-    exit 1
-fi
-
-# Verify health
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Server started in single mode"

deploy/docker/tests/cli/advanced/test_04_mode_compose.sh

@@ -1,52 +0,0 @@
-#!/bin/bash
-# Test: Start server in compose mode with replicas
-# Expected: Server starts in compose mode with Nginx
-
-set -e
-
-echo "=== Test: Compose Mode with 3 Replicas ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start in compose mode
-echo "Starting server in compose mode with 3 replicas..."
-crwl server start --mode compose --replicas 3
-
-sleep 12
-
-# Check mode
-STATUS=$(crwl server status)
-echo "$STATUS"
-
-if ! echo "$STATUS" | grep -q "3"; then
-    echo "❌ Status does not show 3 replicas"
-    crwl server stop
-    exit 1
-fi
-
-# Verify Nginx is running (load balancer)
-NGINX_RUNNING=$(docker ps --filter "name=nginx" --format "{{.Names}}" || echo "")
-if [[ -z "$NGINX_RUNNING" ]]; then
-    echo "⚠️  Warning: Nginx load balancer not detected (may be using swarm or single mode)"
-fi
-
-# Verify health through load balancer
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Server started in compose mode"

deploy/docker/tests/cli/advanced/test_05_custom_image.sh

@@ -1,47 +0,0 @@
-#!/bin/bash
-# Test: Start server with custom image tag
-# Expected: Server uses specified image
-
-set -e
-
-echo "=== Test: Custom Image Specification ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Use latest tag explicitly (or specify a different tag if available)
-IMAGE="unclecode/crawl4ai:latest"
-echo "Starting server with image: $IMAGE..."
-crwl server start --image "$IMAGE"
-
-sleep 5
-
-# Check status shows correct image
-STATUS=$(crwl server status)
-echo "$STATUS"
-
-if ! echo "$STATUS" | grep -q "crawl4ai"; then
-    echo "❌ Status does not show correct image"
-    crwl server stop
-    exit 1
-fi
-
-# Verify health
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Server started with custom image"

deploy/docker/tests/cli/advanced/test_06_env_file.sh

@@ -1,47 +0,0 @@
-#!/bin/bash
-# Test: Start server with environment file
-# Expected: Server loads environment variables
-
-set -e
-
-echo "=== Test: Start with Environment File ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Create a test env file
-TEST_ENV_FILE="/tmp/test_crawl4ai.env"
-cat > "$TEST_ENV_FILE" <<EOF
-TEST_VAR=test_value
-OPENAI_API_KEY=sk-test-key
-EOF
-
-echo "Created test env file at $TEST_ENV_FILE"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start with env file
-echo "Starting server with env file..."
-crwl server start --env-file "$TEST_ENV_FILE"
-
-sleep 5
-
-# Verify server started
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed"
-    rm -f "$TEST_ENV_FILE"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-rm -f "$TEST_ENV_FILE"
-
-echo ""
-echo "✅ Test passed: Server started with environment file"

deploy/docker/tests/cli/advanced/test_07_stop_remove_volumes.sh

@@ -1,49 +0,0 @@
-#!/bin/bash
-# Test: Stop server with volume removal
-# Expected: Volumes are removed along with containers
-
-set -e
-
-echo "=== Test: Stop with Remove Volumes ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Start server (which may create volumes)
-echo "Starting server..."
-crwl server start --replicas 2 >/dev/null 2>&1
-sleep 8
-
-# Make some requests to populate data
-echo "Making requests to populate data..."
-curl -s -X POST http://localhost:11235/crawl \
-  -H "Content-Type: application/json" \
-  -d '{"urls": ["https://httpbin.org/html"], "crawler_config": {}}' > /dev/null || true
-
-sleep 2
-
-# Stop with volume removal (needs confirmation, so we'll use cleanup instead)
-echo "Stopping server with volume removal..."
-# Note: --remove-volumes requires confirmation, so we use cleanup --force
-crwl server cleanup --force >/dev/null 2>&1
-
-sleep 3
-
-# Verify volumes are removed
-echo "Checking for remaining volumes..."
-VOLUMES=$(docker volume ls --filter "name=crawl4ai" --format "{{.Name}}" || echo "")
-if [[ -n "$VOLUMES" ]]; then
-    echo "⚠️  Warning: Some volumes still exist: $VOLUMES"
-    echo "  (This may be expected if using system-wide volumes)"
-fi
-
-# Verify server is stopped
-STATUS=$(crwl server status | grep "No server" || echo "RUNNING")
-if [[ "$STATUS" == "RUNNING" ]]; then
-    echo "❌ Server still running after stop"
-    exit 1
-fi
-
-echo ""
-echo "✅ Test passed: Server stopped and volumes handled"

deploy/docker/tests/cli/advanced/test_08_restart_with_scale.sh

@@ -1,56 +0,0 @@
-#!/bin/bash
-# Test: Restart server with different replica count
-# Expected: Server restarts with new replica count
-
-set -e
-
-echo "=== Test: Restart with Scale Change ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start with 2 replicas
-echo "Starting server with 2 replicas..."
-crwl server start --replicas 2 >/dev/null 2>&1
-sleep 8
-
-# Verify 2 replicas
-STATUS=$(crwl server status | grep "Replicas" || echo "")
-echo "Initial: $STATUS"
-
-# Restart with 4 replicas
-echo ""
-echo "Restarting with 4 replicas..."
-crwl server restart --replicas 4
-
-sleep 10
-
-# Verify 4 replicas
-STATUS=$(crwl server status)
-echo "$STATUS"
-
-if ! echo "$STATUS" | grep -q "4"; then
-    echo "❌ Status does not show 4 replicas after restart"
-    crwl server stop
-    exit 1
-fi
-
-# Verify health
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed after restart"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Server restarted with new replica count"

deploy/docker/tests/cli/basic/test_01_start_default.sh

@@ -1,52 +0,0 @@
-#!/bin/bash
-# Test: Start server with default settings
-# Expected: Server starts with 1 replica on port 11235
-
-set -e
-
-echo "=== Test: Start Server with Defaults ==="
-echo "Expected: 1 replica, port 11235, auto mode"
-echo ""
-
-# Activate virtual environment
-# Navigate to project root and activate venv
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup any existing server
-echo "Cleaning up any existing server..."
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start server with defaults
-echo "Starting server with default settings..."
-crwl server start
-
-# Wait for server to be ready
-echo "Waiting for server to be healthy..."
-sleep 5
-
-# Verify server is running
-echo "Checking server status..."
-STATUS=$(crwl server status | grep "Running" || echo "NOT_RUNNING")
-if [[ "$STATUS" == "NOT_RUNNING" ]]; then
-    echo "❌ Server failed to start"
-    crwl server stop
-    exit 1
-fi
-
-# Check health endpoint
-echo "Checking health endpoint..."
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed: $HEALTH"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop
-
-echo ""
-echo "✅ Test passed: Server started with defaults and responded to health check"

deploy/docker/tests/cli/basic/test_02_status.sh

@@ -1,42 +0,0 @@
-#!/bin/bash
-# Test: Check server status command
-# Expected: Shows running status with correct details
-
-set -e
-
-echo "=== Test: Server Status Command ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Start server first
-echo "Starting server..."
-crwl server start >/dev/null 2>&1
-sleep 5
-
-# Check status
-echo "Checking server status..."
-STATUS_OUTPUT=$(crwl server status)
-echo "$STATUS_OUTPUT"
-echo ""
-
-# Verify output contains expected fields
-if ! echo "$STATUS_OUTPUT" | grep -q "Running"; then
-    echo "❌ Status does not show 'Running'"
-    crwl server stop
-    exit 1
-fi
-
-if ! echo "$STATUS_OUTPUT" | grep -q "11235"; then
-    echo "❌ Status does not show correct port"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Status command shows correct information"

deploy/docker/tests/cli/basic/test_03_stop.sh

@@ -1,45 +0,0 @@
-#!/bin/bash
-# Test: Stop server command
-# Expected: Server stops cleanly and port becomes available
-
-set -e
-
-echo "=== Test: Stop Server Command ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Start server first
-echo "Starting server..."
-crwl server start >/dev/null 2>&1
-sleep 5
-
-# Verify running
-echo "Verifying server is running..."
-if ! curl -s http://localhost:11235/health > /dev/null 2>&1; then
-    echo "❌ Server is not running before stop"
-    exit 1
-fi
-
-# Stop server
-echo "Stopping server..."
-crwl server stop
-
-# Verify stopped
-echo "Verifying server is stopped..."
-sleep 3
-if curl -s http://localhost:11235/health > /dev/null 2>&1; then
-    echo "❌ Server is still responding after stop"
-    exit 1
-fi
-
-# Check status shows not running
-STATUS=$(crwl server status | grep "No server" || echo "RUNNING")
-if [[ "$STATUS" == "RUNNING" ]]; then
-    echo "❌ Status still shows server as running"
-    exit 1
-fi
-
-echo ""
-echo "✅ Test passed: Server stopped cleanly"

deploy/docker/tests/cli/basic/test_04_start_custom_port.sh

@@ -1,46 +0,0 @@
-#!/bin/bash
-# Test: Start server with custom port
-# Expected: Server starts on port 8080 instead of default 11235
-
-set -e
-
-echo "=== Test: Start Server with Custom Port ==="
-echo "Expected: Server on port 8080"
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start on custom port
-echo "Starting server on port 8080..."
-crwl server start --port 8080
-
-sleep 5
-
-# Check health on custom port
-echo "Checking health on port 8080..."
-HEALTH=$(curl -s http://localhost:8080/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed on port 8080: $HEALTH"
-    crwl server stop
-    exit 1
-fi
-
-# Verify default port is NOT responding
-echo "Verifying port 11235 is not in use..."
-if curl -s http://localhost:11235/health > /dev/null 2>&1; then
-    echo "❌ Server is also running on default port 11235"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop
-
-echo ""
-echo "✅ Test passed: Server started on custom port 8080"

deploy/docker/tests/cli/basic/test_05_start_replicas.sh

@@ -1,54 +0,0 @@
-#!/bin/bash
-# Test: Start server with multiple replicas
-# Expected: Server starts with 3 replicas in compose mode
-
-set -e
-
-echo "=== Test: Start Server with 3 Replicas ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start with 3 replicas
-echo "Starting server with 3 replicas..."
-crwl server start --replicas 3
-
-sleep 10
-
-# Check status shows 3 replicas
-echo "Checking status..."
-STATUS_OUTPUT=$(crwl server status)
-echo "$STATUS_OUTPUT"
-
-if ! echo "$STATUS_OUTPUT" | grep -q "3"; then
-    echo "❌ Status does not show 3 replicas"
-    crwl server stop
-    exit 1
-fi
-
-# Check health endpoint
-echo "Checking health endpoint..."
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed"
-    crwl server stop
-    exit 1
-fi
-
-# Check container discovery (should show 3 containers eventually)
-echo "Checking container discovery..."
-sleep 5  # Wait for heartbeats
-CONTAINERS=$(curl -s http://localhost:11235/monitor/containers | jq -r '.count' 2>/dev/null || echo "0")
-echo "Container count: $CONTAINERS"
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop
-
-echo ""
-echo "✅ Test passed: Server started with 3 replicas"

deploy/docker/tests/cli/basic/test_06_logs.sh

@@ -1,47 +0,0 @@
-#!/bin/bash
-# Test: View server logs
-# Expected: Logs are displayed without errors
-
-set -e
-
-echo "=== Test: Server Logs Command ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Start server
-echo "Starting server..."
-crwl server start >/dev/null 2>&1
-sleep 5
-
-# Make a request to generate some logs
-echo "Making request to generate logs..."
-curl -s http://localhost:11235/health > /dev/null
-
-# Check logs (tail)
-echo "Fetching logs (last 50 lines)..."
-LOGS=$(crwl server logs --tail 50 2>&1 || echo "ERROR")
-if [[ "$LOGS" == "ERROR" ]]; then
-    echo "❌ Failed to retrieve logs"
-    crwl server stop
-    exit 1
-fi
-
-echo "Log sample (first 10 lines):"
-echo "$LOGS" | head -n 10
-echo ""
-
-# Verify logs contain something (not empty)
-if [[ -z "$LOGS" ]]; then
-    echo "❌ Logs are empty"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Logs retrieved successfully"

deploy/docker/tests/cli/basic/test_07_restart.sh

@@ -1,55 +0,0 @@
-#!/bin/bash
-# Test: Restart server command
-# Expected: Server restarts with same configuration
-
-set -e
-
-echo "=== Test: Restart Server Command ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Start server with specific config
-echo "Starting server with 2 replicas..."
-crwl server start --replicas 2 >/dev/null 2>&1
-sleep 8
-
-# Get initial container ID
-echo "Getting initial state..."
-INITIAL_STATUS=$(crwl server status)
-echo "$INITIAL_STATUS"
-
-# Restart
-echo ""
-echo "Restarting server..."
-crwl server restart
-
-sleep 8
-
-# Check status after restart
-echo "Checking status after restart..."
-RESTART_STATUS=$(crwl server status)
-echo "$RESTART_STATUS"
-
-# Verify still has 2 replicas
-if ! echo "$RESTART_STATUS" | grep -q "2"; then
-    echo "❌ Replica count not preserved after restart"
-    crwl server stop
-    exit 1
-fi
-
-# Verify health
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed after restart"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Server restarted with preserved configuration"

deploy/docker/tests/cli/basic/test_08_cleanup.sh

@@ -1,46 +0,0 @@
-#!/bin/bash
-# Test: Force cleanup command
-# Expected: All resources removed even if state is corrupted
-
-set -e
-
-echo "=== Test: Force Cleanup Command ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Start server
-echo "Starting server..."
-crwl server start >/dev/null 2>&1
-sleep 5
-
-# Run cleanup (will prompt, so use force flag)
-echo "Running force cleanup..."
-crwl server cleanup --force
-
-sleep 3
-
-# Verify no containers running
-echo "Verifying cleanup..."
-CONTAINERS=$(docker ps --filter "name=crawl4ai" --format "{{.Names}}" || echo "")
-if [[ -n "$CONTAINERS" ]]; then
-    echo "❌ Crawl4AI containers still running: $CONTAINERS"
-    exit 1
-fi
-
-# Verify port is free
-if curl -s http://localhost:11235/health > /dev/null 2>&1; then
-    echo "❌ Server still responding after cleanup"
-    exit 1
-fi
-
-# Verify status shows not running
-STATUS=$(crwl server status | grep "No server" || echo "RUNNING")
-if [[ "$STATUS" == "RUNNING" ]]; then
-    echo "❌ Status still shows server running after cleanup"
-    exit 1
-fi
-
-echo ""
-echo "✅ Test passed: Force cleanup removed all resources"

deploy/docker/tests/cli/dashboard/run_dashboard_test.sh

@@ -1,27 +0,0 @@
-#!/bin/bash
-# Wrapper script to run dashboard UI test with proper environment
-
-set -e
-
-echo "=== Dashboard UI Test ==="
-echo ""
-
-# Activate virtual environment
-source venv/bin/activate
-
-# Make sure playwright is installed
-echo "Checking Playwright installation..."
-python -c "import playwright" 2>/dev/null || {
-    echo "Installing Playwright..."
-    pip install playwright
-    playwright install chromium
-}
-
-# Run the test
-echo ""
-echo "Running dashboard UI test..."
-python deploy/docker/tests/cli/dashboard/test_01_dashboard_ui.py
-
-echo ""
-echo "✅ Dashboard test complete"
-echo "Check deploy/docker/tests/cli/dashboard/screenshots/ for results"

deploy/docker/tests/cli/dashboard/test_01_dashboard_ui.py

@@ -1,225 +0,0 @@
-#!/usr/bin/env python3
-"""
-Dashboard UI Test with Playwright
-Tests the monitoring dashboard UI functionality
-"""
-import asyncio
-import subprocess
-import time
-import os
-from pathlib import Path
-from playwright.async_api import async_playwright
-
-BASE_URL = "http://localhost:11235"
-SCREENSHOT_DIR = Path(__file__).parent / "screenshots"
-
-async def start_server():
-    """Start server with 3 replicas"""
-    print("Starting server with 3 replicas...")
-    subprocess.run(["crwl", "server", "stop"],
-                   stdout=subprocess.DEVNULL,
-                   stderr=subprocess.DEVNULL)
-    time.sleep(2)
-
-    result = subprocess.run(
-        ["crwl", "server", "start", "--replicas", "3"],
-        capture_output=True,
-        text=True
-    )
-
-    if result.returncode != 0:
-        raise Exception(f"Failed to start server: {result.stderr}")
-
-    print("Waiting for server to be ready...")
-    time.sleep(12)
-
-async def run_demo_script():
-    """Run the demo script in background to generate activity"""
-    print("Starting demo script to generate dashboard activity...")
-    demo_path = Path(__file__).parent.parent.parent / "monitor" / "demo_monitor_dashboard.py"
-
-    process = subprocess.Popen(
-        ["python", str(demo_path)],
-        stdout=subprocess.PIPE,
-        stderr=subprocess.PIPE
-    )
-
-    # Let it run for a bit to generate some data
-    print("Waiting for demo to generate data...")
-    time.sleep(10)
-
-    return process
-
-async def test_dashboard_ui():
-    """Test dashboard UI with Playwright"""
-
-    # Create screenshot directory
-    SCREENSHOT_DIR.mkdir(exist_ok=True)
-    print(f"Screenshots will be saved to: {SCREENSHOT_DIR}")
-
-    async with async_playwright() as p:
-        # Launch browser
-        print("\nLaunching browser...")
-        browser = await p.chromium.launch(headless=True)
-        context = await browser.new_context(viewport={'width': 1920, 'height': 1080})
-        page = await context.new_page()
-
-        try:
-            # Navigate to dashboard
-            print(f"Navigating to {BASE_URL}/dashboard")
-            await page.goto(f"{BASE_URL}/dashboard", wait_until="networkidle")
-            await asyncio.sleep(3)
-
-            # Take full dashboard screenshot
-            print("Taking full dashboard screenshot...")
-            await page.screenshot(path=SCREENSHOT_DIR / "01_full_dashboard.png", full_page=True)
-            print(f"  ✅ Saved: 01_full_dashboard.png")
-
-            # Verify page title
-            title = await page.title()
-            print(f"\nPage title: {title}")
-            if "Monitor" not in title and "Dashboard" not in title:
-                print("  ⚠️  Warning: Title doesn't contain 'Monitor' or 'Dashboard'")
-
-            # Check for infrastructure card (container filters)
-            print("\nChecking Infrastructure card...")
-            infrastructure = await page.query_selector('.card h3:has-text("Infrastructure")')
-            if infrastructure:
-                print("  ✅ Infrastructure card found")
-                await page.screenshot(path=SCREENSHOT_DIR / "02_infrastructure_card.png")
-                print(f"  ✅ Saved: 02_infrastructure_card.png")
-            else:
-                print("  ❌ Infrastructure card not found")
-
-            # Check for container filter buttons (All, C-1, C-2, C-3)
-            print("\nChecking container filter buttons...")
-            all_button = await page.query_selector('.filter-btn[data-container="all"]')
-            if all_button:
-                print("  ✅ 'All' filter button found")
-                # Take screenshot of filter area
-                await all_button.screenshot(path=SCREENSHOT_DIR / "03_filter_buttons.png")
-                print(f"  ✅ Saved: 03_filter_buttons.png")
-
-                # Test clicking filter button
-                await all_button.click()
-                await asyncio.sleep(1)
-                print("  ✅ Clicked 'All' filter button")
-            else:
-                print("  ⚠️  'All' filter button not found (may appear after containers register)")
-
-            # Check for WebSocket connection indicator
-            print("\nChecking WebSocket connection...")
-            ws_indicator = await page.query_selector('.ws-status, .connection-status, [class*="websocket"]')
-            if ws_indicator:
-                print("  ✅ WebSocket indicator found")
-            else:
-                print("  ⚠️  WebSocket indicator not found in DOM")
-
-            # Check for main dashboard sections
-            print("\nChecking dashboard sections...")
-            sections = [
-                ("Active Requests", ".active-requests, [class*='active']"),
-                ("Completed Requests", ".completed-requests, [class*='completed']"),
-                ("Browsers", ".browsers, [class*='browser']"),
-                ("Timeline", ".timeline, [class*='timeline']"),
-            ]
-
-            for section_name, selector in sections:
-                element = await page.query_selector(selector)
-                if element:
-                    print(f"  ✅ {section_name} section found")
-                else:
-                    print(f"  ⚠️  {section_name} section not found with selector: {selector}")
-
-            # Scroll to different sections and take screenshots
-            print("\nTaking section screenshots...")
-
-            # Requests section
-            requests = await page.query_selector('.card h3:has-text("Requests")')
-            if requests:
-                await requests.scroll_into_view_if_needed()
-                await asyncio.sleep(1)
-                await page.screenshot(path=SCREENSHOT_DIR / "04_requests_section.png")
-                print(f"  ✅ Saved: 04_requests_section.png")
-
-            # Browsers section
-            browsers = await page.query_selector('.card h3:has-text("Browsers")')
-            if browsers:
-                await browsers.scroll_into_view_if_needed()
-                await asyncio.sleep(1)
-                await page.screenshot(path=SCREENSHOT_DIR / "05_browsers_section.png")
-                print(f"  ✅ Saved: 05_browsers_section.png")
-
-            # Timeline section
-            timeline = await page.query_selector('.card h3:has-text("Timeline")')
-            if timeline:
-                await timeline.scroll_into_view_if_needed()
-                await asyncio.sleep(1)
-                await page.screenshot(path=SCREENSHOT_DIR / "06_timeline_section.png")
-                print(f"  ✅ Saved: 06_timeline_section.png")
-
-            # Check for tabs (if they exist)
-            print("\nChecking for tabs...")
-            tabs = await page.query_selector_all('.tab, [role="tab"]')
-            if tabs:
-                print(f"  ✅ Found {len(tabs)} tabs")
-                for i, tab in enumerate(tabs[:5]):  # Check first 5 tabs
-                    tab_text = await tab.inner_text()
-                    print(f"    - Tab {i+1}: {tab_text}")
-            else:
-                print("  ℹ️  No tab elements found")
-
-            # Wait for any animations to complete
-            await asyncio.sleep(2)
-
-            # Take final screenshot
-            print("\nTaking final screenshot...")
-            await page.screenshot(path=SCREENSHOT_DIR / "07_final_state.png", full_page=True)
-            print(f"  ✅ Saved: 07_final_state.png")
-
-            print("\n" + "="*60)
-            print("Dashboard UI Test Complete!")
-            print(f"Screenshots saved to: {SCREENSHOT_DIR}")
-            print("="*60)
-
-        finally:
-            await browser.close()
-
-async def cleanup():
-    """Stop server and cleanup"""
-    print("\nCleaning up...")
-    subprocess.run(["crwl", "server", "stop"],
-                   stdout=subprocess.DEVNULL,
-                   stderr=subprocess.DEVNULL)
-    print("✅ Cleanup complete")
-
-async def main():
-    """Main test execution"""
-    demo_process = None
-
-    try:
-        # Start server
-        await start_server()
-
-        # Run demo script to generate activity
-        demo_process = await run_demo_script()
-
-        # Run dashboard UI test
-        await test_dashboard_ui()
-
-        print("\n✅ All dashboard UI tests passed!")
-
-    except Exception as e:
-        print(f"\n❌ Test failed: {e}")
-        raise
-    finally:
-        # Stop demo script
-        if demo_process:
-            demo_process.terminate()
-            demo_process.wait(timeout=5)
-
-        # Cleanup server
-        await cleanup()
-
-if __name__ == "__main__":
-    asyncio.run(main())

deploy/docker/tests/cli/edge/test_01_already_running.sh

@@ -1,48 +0,0 @@
-#!/bin/bash
-# Test: Try starting server when already running
-# Expected: Error message indicating server is already running
-
-set -e
-
-echo "=== Test: Start When Already Running ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start server
-echo "Starting server..."
-crwl server start >/dev/null 2>&1
-sleep 5
-
-# Try to start again
-echo ""
-echo "Attempting to start server again (should fail)..."
-OUTPUT=$(crwl server start 2>&1 || true)
-echo "$OUTPUT"
-
-# Verify error message
-if echo "$OUTPUT" | grep -iq "already running"; then
-    echo ""
-    echo "✅ Test passed: Proper error for already running server"
-else
-    echo ""
-    echo "❌ Test failed: Expected 'already running' error message"
-    crwl server stop
-    exit 1
-fi
-
-# Verify original server still running
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Original server is not running"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-crwl server stop >/dev/null 2>&1

deploy/docker/tests/cli/edge/test_02_not_running.sh

@@ -1,50 +0,0 @@
-#!/bin/bash
-# Test: Operations when server is not running
-# Expected: Appropriate error messages
-
-set -e
-
-echo "=== Test: Operations When Not Running ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Make sure nothing is running
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Try status when not running
-echo "Checking status when not running..."
-OUTPUT=$(crwl server status 2>&1 || true)
-echo "$OUTPUT"
-echo ""
-
-if ! echo "$OUTPUT" | grep -iq "no server"; then
-    echo "❌ Status should indicate no server running"
-    exit 1
-fi
-
-# Try stop when not running
-echo "Trying to stop when not running..."
-OUTPUT=$(crwl server stop 2>&1 || true)
-echo "$OUTPUT"
-echo ""
-
-if ! echo "$OUTPUT" | grep -iq "no server\|not running"; then
-    echo "❌ Stop should indicate no server running"
-    exit 1
-fi
-
-# Try scale when not running
-echo "Trying to scale when not running..."
-OUTPUT=$(crwl server scale 3 2>&1 || true)
-echo "$OUTPUT"
-echo ""
-
-if ! echo "$OUTPUT" | grep -iq "no server\|not running"; then
-    echo "❌ Scale should indicate no server running"
-    exit 1
-fi
-
-echo "✅ Test passed: Appropriate errors for operations when not running"

deploy/docker/tests/cli/edge/test_03_scale_single_mode.sh

@@ -1,47 +0,0 @@
-#!/bin/bash
-# Test: Try to scale single container mode
-# Expected: Error indicating single mode cannot be scaled
-
-set -e
-
-echo "=== Test: Scale Single Container Mode ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start in single mode
-echo "Starting in single mode..."
-crwl server start --mode single >/dev/null 2>&1
-sleep 5
-
-# Try to scale
-echo ""
-echo "Attempting to scale single mode (should fail)..."
-OUTPUT=$(crwl server scale 3 2>&1 || true)
-echo "$OUTPUT"
-echo ""
-
-# Verify error message
-if echo "$OUTPUT" | grep -iq "single"; then
-    echo "✅ Test passed: Proper error for scaling single mode"
-else
-    echo "❌ Test failed: Expected error about single mode"
-    crwl server stop
-    exit 1
-fi
-
-# Verify server still running
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Server is not running after failed scale"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-crwl server stop >/dev/null 2>&1

deploy/docker/tests/cli/edge/test_04_invalid_port.sh

@@ -1,36 +0,0 @@
-#!/bin/bash
-# Test: Invalid port numbers
-# Expected: Validation errors for invalid ports
-
-set -e
-
-echo "=== Test: Invalid Port Numbers ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Test invalid ports
-INVALID_PORTS=(0 -1 99999 65536)
-
-for PORT in "${INVALID_PORTS[@]}"; do
-    echo "Testing invalid port: $PORT"
-    OUTPUT=$(crwl server start --port $PORT 2>&1 || true)
-
-    if echo "$OUTPUT" | grep -iq "error\|invalid\|usage"; then
-        echo "  ✅ Rejected port $PORT"
-    else
-        echo "  ⚠️  Port $PORT may have been accepted (output: $OUTPUT)"
-    fi
-
-    # Make sure no server started
-    crwl server stop 2>/dev/null || true
-    sleep 1
-    echo ""
-done
-
-echo "✅ Test passed: Invalid ports handled appropriately"

deploy/docker/tests/cli/edge/test_05_invalid_replicas.sh

@@ -1,57 +0,0 @@
-#!/bin/bash
-# Test: Invalid replica counts
-# Expected: Validation errors for invalid replicas
-
-set -e
-
-echo "=== Test: Invalid Replica Counts ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Test invalid replica counts
-INVALID_REPLICAS=(0 -1 101)
-
-for REPLICAS in "${INVALID_REPLICAS[@]}"; do
-    echo "Testing invalid replica count: $REPLICAS"
-    OUTPUT=$(crwl server start --replicas $REPLICAS 2>&1 || true)
-
-    if echo "$OUTPUT" | grep -iq "error\|invalid\|usage"; then
-        echo "  ✅ Rejected replica count $REPLICAS"
-    else
-        echo "  ⚠️  Replica count $REPLICAS may have been accepted"
-    fi
-
-    # Make sure no server started
-    crwl server stop 2>/dev/null || true
-    sleep 1
-    echo ""
-done
-
-# Test scaling to invalid counts
-echo "Testing scale to invalid counts..."
-crwl server start --replicas 2 >/dev/null 2>&1
-sleep 5
-
-INVALID_SCALE=(0 -1)
-for SCALE in "${INVALID_SCALE[@]}"; do
-    echo "Testing scale to: $SCALE"
-    OUTPUT=$(crwl server scale $SCALE 2>&1 || true)
-
-    if echo "$OUTPUT" | grep -iq "error\|invalid\|must be at least 1"; then
-        echo "  ✅ Rejected scale to $SCALE"
-    else
-        echo "  ⚠️  Scale to $SCALE may have been accepted"
-    fi
-    echo ""
-done
-
-# Cleanup
-crwl server stop >/dev/null 2>&1
-
-echo "✅ Test passed: Invalid replica counts handled appropriately"

deploy/docker/tests/cli/edge/test_06_missing_env_file.sh

@@ -1,40 +0,0 @@
-#!/bin/bash
-# Test: Non-existent environment file
-# Expected: Error indicating file not found
-
-set -e
-
-echo "=== Test: Missing Environment File ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Try with non-existent file
-FAKE_FILE="/tmp/nonexistent_$(date +%s).env"
-echo "Attempting to start with non-existent env file: $FAKE_FILE"
-OUTPUT=$(crwl server start --env-file "$FAKE_FILE" 2>&1 || true)
-echo "$OUTPUT"
-echo ""
-
-# Verify error
-if echo "$OUTPUT" | grep -iq "error\|does not exist\|not found\|no such file"; then
-    echo "✅ Test passed: Proper error for missing env file"
-else
-    echo "❌ Test failed: Expected error about missing file"
-    crwl server stop
-    exit 1
-fi
-
-# Make sure no server started
-if curl -s http://localhost:11235/health > /dev/null 2>&1; then
-    echo "❌ Server should not have started"
-    crwl server stop
-    exit 1
-fi
-
-echo "✅ Server correctly refused to start with missing env file"

deploy/docker/tests/cli/edge/test_07_port_in_use.sh

@@ -1,50 +0,0 @@
-#!/bin/bash
-# Test: Port already in use
-# Expected: Error indicating port is occupied
-
-set -e
-
-echo "=== Test: Port Already In Use ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start a simple HTTP server on port 11235 to occupy it
-echo "Starting dummy server on port 11235..."
-python -m http.server 11235 >/dev/null 2>&1 &
-DUMMY_PID=$!
-sleep 2
-
-# Try to start crawl4ai on same port
-echo "Attempting to start Crawl4AI on occupied port..."
-OUTPUT=$(crwl server start 2>&1 || true)
-echo "$OUTPUT"
-echo ""
-
-# Kill dummy server
-kill $DUMMY_PID 2>/dev/null || true
-sleep 1
-
-# Verify error message
-if echo "$OUTPUT" | grep -iq "port.*in use\|already in use\|address already in use"; then
-    echo "✅ Test passed: Proper error for port in use"
-else
-    echo "⚠️  Expected 'port in use' error (output may vary)"
-fi
-
-# Make sure Crawl4AI didn't start
-if curl -s http://localhost:11235/health > /dev/null 2>&1; then
-    HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "unknown")
-    if [[ "$HEALTH" == "ok" ]]; then
-        echo "❌ Crawl4AI started despite port being occupied"
-        crwl server stop
-        exit 1
-    fi
-fi
-
-echo "✅ Crawl4AI correctly refused to start on occupied port"

deploy/docker/tests/cli/edge/test_08_state_corruption.sh

@@ -1,79 +0,0 @@
-#!/bin/bash
-# Test: Corrupted state file
-# Expected: Cleanup recovers from corrupted state
-
-set -e
-
-echo "=== Test: State File Corruption ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start server to create state
-echo "Starting server to create state..."
-crwl server start >/dev/null 2>&1
-sleep 5
-
-# Get state file path
-STATE_FILE="$HOME/.crawl4ai/server/state.json"
-echo "State file: $STATE_FILE"
-
-# Verify state file exists
-if [[ ! -f "$STATE_FILE" ]]; then
-    echo "❌ State file not created"
-    crwl server stop
-    exit 1
-fi
-
-echo "Original state:"
-cat "$STATE_FILE" | jq '.' || cat "$STATE_FILE"
-echo ""
-
-# Stop server
-crwl server stop >/dev/null 2>&1
-sleep 2
-
-# Corrupt state file
-echo "Corrupting state file..."
-echo "{ invalid json }" > "$STATE_FILE"
-cat "$STATE_FILE"
-echo ""
-
-# Try to start server (should handle corrupted state)
-echo "Attempting to start with corrupted state..."
-OUTPUT=$(crwl server start 2>&1 || true)
-echo "$OUTPUT"
-echo ""
-
-# Check if server started or gave clear error
-if curl -s http://localhost:11235/health > /dev/null 2>&1; then
-    echo "✅ Server started despite corrupted state"
-    crwl server stop
-elif echo "$OUTPUT" | grep -iq "already running"; then
-    # State thinks server is running, use cleanup
-    echo "State thinks server is running, using cleanup..."
-    crwl server cleanup --force >/dev/null 2>&1
-    sleep 2
-
-    # Try starting again
-    crwl server start >/dev/null 2>&1
-    sleep 5
-
-    if curl -s http://localhost:11235/health > /dev/null 2>&1; then
-        echo "✅ Cleanup recovered from corrupted state"
-        crwl server stop
-    else
-        echo "❌ Failed to recover from corrupted state"
-        exit 1
-    fi
-else
-    echo "✅ Handled corrupted state appropriately"
-fi
-
-echo ""
-echo "✅ Test passed: System handles state corruption"

deploy/docker/tests/cli/edge/test_09_network_conflict.sh

@@ -1,47 +0,0 @@
-#!/bin/bash
-# Test: Docker network name collision
-# Expected: Handles existing network gracefully
-
-set -e
-
-echo "=== Test: Network Name Conflict ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Create a network with similar name
-NETWORK_NAME="crawl4ai_test_net"
-echo "Creating test network: $NETWORK_NAME..."
-docker network create "$NETWORK_NAME" 2>/dev/null || echo "Network may already exist"
-
-# Start server (should either use existing network or create its own)
-echo ""
-echo "Starting server..."
-crwl server start >/dev/null 2>&1
-sleep 5
-
-# Verify server started successfully
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Server failed to start"
-    docker network rm "$NETWORK_NAME" 2>/dev/null || true
-    crwl server stop
-    exit 1
-fi
-
-echo "✅ Server started successfully despite network conflict"
-
-# Cleanup
-crwl server stop >/dev/null 2>&1
-sleep 2
-
-# Remove test network
-docker network rm "$NETWORK_NAME" 2>/dev/null || echo "Network already removed"
-
-echo ""
-echo "✅ Test passed: Handled network conflict gracefully"