docs: rename Docker deployment to self-hosting guide with comprehensive monitoring documentation

Major documentation restructuring to emphasize self-hosting capabilities and fully document the real-time monitoring system.

Changes:
- Renamed docker-deployment.md → self-hosting.md to better reflect the value proposition
- Updated mkdocs.yml navigation to "Self-Hosting Guide"
- Completely rewrote introduction emphasizing self-hosting benefits:
  * Data privacy and ownership
  * Cost control and transparency
  * Performance and security advantages
  * Full customization capabilities

- Expanded "Metrics & Monitoring" → "Real-time Monitoring & Operations" with:
  * Monitoring Dashboard section documenting the /monitor UI
  * Complete feature breakdown (system health, requests, browsers, janitor, errors)
  * Monitor API Endpoints with all REST endpoints and examples
  * WebSocket Streaming integration guide with Python examples
  * Control Actions for manual browser management
  * Production Integration patterns (Prometheus, custom dashboards, alerting)
  * Key production metrics to track

- Enhanced summary section:
  * What users learned checklist
  * Why self-hosting matters
  * Clear next steps
  * Key resources with monitoring dashboard URL

The monitoring dashboard built 2-3 weeks ago is now fully documented and discoverable.
Users will understand they have complete operational visibility at http://localhost:11235/monitor
with real-time updates, browser pool management, and programmatic control via REST/WebSocket APIs.

This positions Crawl4AI as an enterprise-grade self-hosting solution with DevOps-level
monitoring capabilities, not just a Docker deployment.

.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

@@ -266,11 +266,11 @@ continue_config.json
 .llm.env
 .private/
 
-.claude/
-
 CLAUDE_MONITOR.md
 CLAUDE.md
 
+.claude/
+
 tests/**/test_site
 tests/**/reports
 tests/**/benchmark_reports
@@ -282,3 +282,14 @@ docs/apps/linkdin/debug*/
 docs/apps/linkdin/samples/insights/*
 
 scripts/
+
+
+# Databse files
+*.sqlite3
+*.sqlite3-journal
+*.db-journal
+*.db-wal
+*.db-shm
+*.db
+*.rdb
+*.ldb

README.md

@@ -27,13 +27,11 @@
 
 Crawl4AI turns the web into clean, LLM ready Markdown for RAG, agents, and data pipelines. Fast, controllable, battle tested by a 50k+ star community.
 
-[✨ Check out latest update v0.7.5](#-recent-updates)
+[✨ Check out latest update v0.7.4](#-recent-updates)
 
-✨ New in 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)
+✨ New in 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)
 
-✨ Recent 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)
-
-✨ Previous v0.7.3: Undetected Browser Support, Multi-URL Configurations, Memory Monitoring, Enhanced Table Extraction, GitHub Sponsors. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.3.md)
+✨ Recent v0.7.3: Undetected Browser Support, Multi-URL Configurations, Memory Monitoring, Enhanced Table Extraction, GitHub Sponsors. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.3.md)
 
 <details>
   <summary>🤓 <strong>My Personal Story</strong></summary>
@@ -179,7 +177,7 @@ 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.
@@ -546,54 +544,6 @@ 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>
 

crawl4ai/__init__.py

@@ -103,8 +103,7 @@ from .browser_adapter import (
 
 from .utils import (
     start_colab_display_server,
-    setup_colab_environment,
-    hooks_to_string
+    setup_colab_environment
 )
 
 __all__ = [
@@ -184,7 +183,6 @@ __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__ = "0.7.5"
+__version__ = "0.7.4"
 
 # For nightly builds, this gets set during build process
 __nightly_version__ = None

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/utils.py

@@ -47,7 +47,6 @@ from urllib.parse import (
     urljoin, urlparse, urlunparse,
     parse_qsl, urlencode, quote, unquote
 )
-import inspect
 
 
 # Monkey patch to fix wildcard handling in urllib.robotparser
@@ -3530,52 +3529,4 @@ def get_memory_stats() -> Tuple[float, float, float]:
     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
+    return used_percent, available_gb, total_gb

deploy/docker/STRESS_TEST_PIPELINE.md

@@ -0,0 +1,241 @@
+# 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/api.py

@@ -66,6 +66,7 @@ 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://")):
             url = 'https://' + url
@@ -74,15 +75,21 @@ async def handle_llm_qa(
         if last_q_index != -1:
             url = url[:last_q_index]
 
-        # 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
+        # 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
 
         # Create prompt and get LLM response
         prompt = f"""Use the following content as context to answer the question.
@@ -224,25 +231,32 @@ async def handle_markdown_request(
 
         cache_mode = CacheMode.ENABLED if cache == "1" else CacheMode.WRITE_ONLY
 
-        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
-                )
+        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
             )
-            
-            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)
+        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)
 
     except Exception as e:
         logger.error(f"Markdown error: {str(e)}", exc_info=True)
@@ -446,12 +460,22 @@ async def handle_crawl_request(
     hooks_config: Optional[dict] = None
 ) -> 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
+
     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]
         browser_config = BrowserConfig.load(browser_config)
@@ -556,7 +580,16 @@ async def handle_crawl_request(
             "server_memory_delta_mb": mem_delta_mb,
             "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
@@ -585,6 +618,16 @@ async def handle_crawl_request(
 
     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()

deploy/docker/config.yml

@@ -3,7 +3,7 @@ app:
   title: "Crawl4AI API"
   version: "1.0.0"
   host: "0.0.0.0"
-  port: 11234
+  port: 11235
   reload: False
   workers: 1
   timeout_keep_alive: 300
@@ -61,7 +61,7 @@ crawler:
     batch_process: 300.0  # Timeout for batch processing
   pool:
     max_pages: 40                          # ← GLOBAL_SEM permits
-    idle_ttl_sec: 1800                     # ← 30 min janitor cutoff
+    idle_ttl_sec: 300                     # ← 30 min janitor cutoff
   browser:
     kwargs:
       headless: true

deploy/docker/crawler_pool.py

@@ -1,60 +1,170 @@
-# crawler_pool.py  (new file)
-import asyncio, json, hashlib, time, psutil
+# crawler_pool.py - Smart browser pool with tiered management
+import asyncio, json, hashlib, time
 from contextlib import suppress
-from typing import Dict
+from typing import Dict, Optional
 from crawl4ai import AsyncWebCrawler, BrowserConfig
-from typing import Dict
-from utils import load_config 
+from utils import load_config, get_container_memory_percent
+import logging
 
+logger = logging.getLogger(__name__)
 CONFIG = load_config()
 
-POOL: Dict[str, AsyncWebCrawler] = {}
+# Pool tiers
+PERMANENT: Optional[AsyncWebCrawler] = None  # Always-ready default browser
+HOT_POOL: Dict[str, AsyncWebCrawler] = {}    # Frequent configs
+COLD_POOL: Dict[str, AsyncWebCrawler] = {}   # Rare configs
 LAST_USED: Dict[str, float] = {}
+USAGE_COUNT: Dict[str, int] = {}
 LOCK = asyncio.Lock()
 
-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
+# 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
 
 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:
-    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()
-        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():
+    """Get crawler from pool with tiered strategy."""
+    sig = _sig(cfg)
     async with LOCK:
-        await asyncio.gather(*(c.close() for c in POOL.values()), return_exceptions=True)
-        POOL.clear(); LAST_USED.clear()
+        # Check permanent browser for default config
+        if PERMANENT and _is_default_config(sig):
+            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
+
+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()
 
 async def janitor():
+    """Adaptive cleanup based on memory pressure."""
     while True:
-        await asyncio.sleep(60)
+        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)
+
         now = time.time()
         async with LOCK:
-            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)
+            # 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}%")

deploy/docker/monitor.py

@@ -0,0 +1,382 @@
+# 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 redis import asyncio as aioredis
+from utils import get_container_memory_percent
+import psutil
+import logging
+
+logger = logging.getLogger(__name__)
+
+class MonitorStats:
+    """Tracks real-time server stats with Redis persistence."""
+
+    def __init__(self, redis: aioredis.Redis):
+        self.redis = redis
+        self.start_time = time.time()
+
+        # 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
+
+        # 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)
+        }
+        self.active_requests[request_id] = req_info
+
+        # 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
+        }
+        self.completed_requests.append(completed)
+
+        # Track errors
+        if not success and error:
+            self.errors.append({
+                "timestamp": end_time,
+                "endpoint": endpoint,
+                "url": req_info["url"],
+                "error": error,
+                "request_id": request_id
+            })
+
+        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
+        })
+
+    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 to prevent race conditions)
+        from crawler_pool import PERMANENT, HOT_POOL, COLD_POOL, LOCK
+        async with LOCK:
+            browser_count = {
+                "permanent": 1 if PERMANENT else 0,
+                "hot": len(HOT_POOL),
+                "cold": len(COLD_POOL)
+            }
+
+        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."""
+        try:
+            await self.redis.set(
+                "monitor:endpoint_stats",
+                json.dumps(self.endpoint_stats),
+                ex=86400  # 24h TTL
+            )
+        except Exception as e:
+            logger.warning(f"Failed to persist endpoint stats: {e}")
+
+    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 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 worker
+            await self.stop_persistence_worker()
+            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."""
+        try:
+            data = await self.redis.get("monitor:endpoint_stats")
+            if data:
+                self.endpoint_stats = json.loads(data)
+                logger.info("Loaded endpoint stats from Redis")
+        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 to prevent race conditions)
+        from crawler_pool import PERMANENT, HOT_POOL, COLD_POOL, LOCK
+        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)
+
+        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."""
+        from crawler_pool import PERMANENT, HOT_POOL, COLD_POOL, LAST_USED, USAGE_COUNT, DEFAULT_CONFIG_SIG, LOCK
+
+        browsers = []
+        now = time.time()
+
+        # Acquire lock to prevent race conditions during iteration
+        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
+                })
+
+        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

@@ -0,0 +1,405 @@
+# 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
+import logging
+import asyncio
+import json
+
+logger = logging.getLogger(__name__)
+router = APIRouter(prefix="/monitor", tags=["monitor"])
+
+
+@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:
+        monitor = get_monitor()
+
+        if status == "active":
+            return {"active": monitor.get_active_requests(), "completed": []}
+        elif status == "completed":
+            return {"active": [], "completed": monitor.get_completed_requests(limit)}
+        elif status in ["success", "error"]:
+            return {"active": [], "completed": monitor.get_completed_requests(limit, status)}
+        else:  # "all"
+            return {
+                "active": monitor.get_active_requests(),
+                "completed": monitor.get_completed_requests(limit)
+            }
+    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()
+        browsers = await monitor.get_browser_list()
+
+        # 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)
+            }
+        }
+    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:
+        monitor = get_monitor()
+        return {"events": monitor.get_janitor_log(limit)}
+    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:
+        monitor = get_monitor()
+        return {"errors": monitor.get_errors_log(limit)}
+    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.websocket("/ws")
+async def websocket_endpoint(websocket: WebSocket):
+    """WebSocket endpoint for real-time monitoring updates.
+
+    Sends updates every 2 seconds with:
+    - Health stats
+    - Active/completed requests
+    - Browser pool status
+    - Timeline data
+    """
+    await websocket.accept()
+    logger.info("WebSocket client connected")
+
+    try:
+        while True:
+            try:
+                # Gather all monitoring data
+                monitor = get_monitor()
+
+                data = {
+                    "timestamp": asyncio.get_event_loop().time(),
+                    "health": await monitor.get_health_summary(),
+                    "requests": {
+                        "active": monitor.get_active_requests(),
+                        "completed": monitor.get_completed_requests(limit=10)
+                    },
+                    "browsers": await monitor.get_browser_list(),
+                    "timeline": {
+                        "memory": monitor.get_timeline_data("memory", "5m"),
+                        "requests": monitor.get_timeline_data("requests", "5m"),
+                        "browsers": monitor.get_timeline_data("browsers", "5m")
+                    },
+                    "janitor": monitor.get_janitor_log(limit=10),
+                    "errors": monitor.get_errors_log(limit=10)
+                }
+
+                # 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/server.py

@@ -16,6 +16,7 @@ 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,
@@ -78,6 +79,14 @@ __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
@@ -103,15 +112,52 @@ AsyncWebCrawler.arun = capped_arun
 
 @asynccontextmanager
 async def lifespan(_: FastAPI):
-    await get_crawler(BrowserConfig(
+    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(
         extra_args=config["crawler"]["browser"].get("extra_args", []),
         **config["crawler"]["browser"].get("kwargs", {}),
-    ))           # warm‑up
-    app.state.janitor = asyncio.create_task(janitor())        # idle GC
+    ))
+
+    # Start background tasks
+    app.state.janitor = asyncio.create_task(janitor())
+    app.state.timeline_updater = asyncio.create_task(_timeline_updater())
+
     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"],
@@ -129,6 +175,25 @@ 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():
@@ -212,6 +277,12 @@ 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):
@@ -266,27 +337,20 @@ 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:
-        async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
-            results = await crawler.arun(url=body.url, config=cfg)
-        # Check if the crawl was successful
+        crawler = await get_crawler(get_default_browser_config())
+        results = await crawler.arun(url=body.url, config=cfg)
         if not results[0].success:
-            raise HTTPException(
-                status_code=500,
-                detail=results[0].error_message or "Crawl failed"
-            )
-        
+            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:
-        # Log and raise as HTTP 500 for other exceptions
-        raise HTTPException(
-            status_code=500,
-            detail=str(e)
-        )
+        raise HTTPException(500, detail=str(e))
 
 # Screenshot endpoint
 
@@ -304,16 +368,13 @@ 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)
-        async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
-            results = await crawler.arun(url=body.url, config=cfg)
+        cfg = CrawlerRunConfig(screenshot=True, screenshot_wait_for=body.screenshot_wait_for)
+        crawler = await get_crawler(get_default_browser_config())
+        results = await crawler.arun(url=body.url, config=cfg)
         if not results[0].success:
-            raise HTTPException(
-                status_code=500,
-                detail=results[0].error_message or "Crawl failed"
-            )
+            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)
@@ -323,10 +384,7 @@ async def generate_screenshot(
             return {"success": True, "path": abs_path}
         return {"success": True, "screenshot": screenshot_data}
     except Exception as e:
-        raise HTTPException(
-            status_code=500,
-            detail=str(e)
-        )
+        raise HTTPException(500, detail=str(e))
 
 # PDF endpoint
 
@@ -344,15 +402,13 @@ 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)
-        async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
-            results = await crawler.arun(url=body.url, config=cfg)
+        crawler = await get_crawler(get_default_browser_config())
+        results = await crawler.arun(url=body.url, config=cfg)
         if not results[0].success:
-            raise HTTPException(
-                status_code=500,
-                detail=results[0].error_message or "Crawl failed"
-            )
+            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)
@@ -362,10 +418,7 @@ async def generate_pdf(
             return {"success": True, "path": abs_path}
         return {"success": True, "pdf": base64.b64encode(pdf_data).decode()}
     except Exception as e:
-        raise HTTPException(
-            status_code=500,
-            detail=str(e)
-        )
+        raise HTTPException(500, detail=str(e))
 
 
 @app.post("/execute_js")
@@ -421,23 +474,17 @@ async def execute_js(
         ```
 
     """
+    from crawler_pool import get_crawler
     try:
         cfg = CrawlerRunConfig(js_code=body.scripts)
-        async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
-            results = await crawler.arun(url=body.url, config=cfg)
+        crawler = await get_crawler(get_default_browser_config())
+        results = await crawler.arun(url=body.url, config=cfg)
         if not results[0].success:
-            raise HTTPException(
-                status_code=500,
-                detail=results[0].error_message or "Crawl failed"
-            )
-        # Return JSON-serializable dict of the first CrawlResult
+            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(
-            status_code=500,
-            detail=str(e)
-        )
+        raise HTTPException(500, detail=str(e))
 
 
 @app.get("/llm/{url:path}")

deploy/docker/static/playground/index.html

@@ -167,11 +167,14 @@
             </a>
         </h1>
 
-        <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 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>
     </header>
 

deploy/docker/test-websocket.py

@@ -0,0 +1,34 @@
+#!/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/demo_monitor_dashboard.py

@@ -0,0 +1,164 @@
+#!/usr/bin/env python3
+"""
+Monitor Dashboard Demo Script
+Generates varied activity to showcase all monitoring features for video recording.
+"""
+import httpx
+import asyncio
+import time
+from datetime import datetime
+
+BASE_URL = "http://localhost:11235"
+
+async def demo_dashboard():
+    print("🎬 Monitor Dashboard Demo - Starting...\n")
+    print(f"📊 Dashboard: {BASE_URL}/dashboard")
+    print("=" * 60)
+
+    async with httpx.AsyncClient(timeout=60.0) as client:
+
+        # Phase 1: Simple requests (permanent browser)
+        print("\n🔷 Phase 1: Testing permanent browser pool")
+        print("-" * 60)
+        for i in range(5):
+            print(f"  {i+1}/5 Request to /crawl (default config)...")
+            try:
+                r = await client.post(
+                    f"{BASE_URL}/crawl",
+                    json={"urls": [f"https://httpbin.org/html?req={i}"], "crawler_config": {}}
+                )
+                print(f"     ✅ Status: {r.status_code}, Time: {r.elapsed.total_seconds():.2f}s")
+            except Exception as e:
+                print(f"     ❌ Error: {e}")
+            await asyncio.sleep(1)  # Small delay between requests
+
+        # Phase 2: Create variant browsers (different configs)
+        print("\n🔶 Phase 2: Testing cold→hot pool promotion")
+        print("-" * 60)
+        viewports = [
+            {"width": 1920, "height": 1080},
+            {"width": 1280, "height": 720},
+            {"width": 800, "height": 600}
+        ]
+
+        for idx, viewport in enumerate(viewports):
+            print(f"  Viewport {viewport['width']}x{viewport['height']}:")
+            for i in range(4):  # 4 requests each to trigger promotion at 3
+                try:
+                    r = await client.post(
+                        f"{BASE_URL}/crawl",
+                        json={
+                            "urls": [f"https://httpbin.org/json?v={idx}&r={i}"],
+                            "browser_config": {"viewport": viewport},
+                            "crawler_config": {}
+                        }
+                    )
+                    print(f"    {i+1}/4 ✅ {r.status_code} - Should see cold→hot after 3 uses")
+                except Exception as e:
+                    print(f"    {i+1}/4 ❌ {e}")
+                await asyncio.sleep(0.5)
+
+        # Phase 3: Concurrent burst (stress pool)
+        print("\n🔷 Phase 3: Concurrent burst (10 parallel)")
+        print("-" * 60)
+        tasks = []
+        for i in range(10):
+            tasks.append(
+                client.post(
+                    f"{BASE_URL}/crawl",
+                    json={"urls": [f"https://httpbin.org/delay/2?burst={i}"], "crawler_config": {}}
+                )
+            )
+
+        print("  Sending 10 concurrent requests...")
+        start = time.time()
+        results = await asyncio.gather(*tasks, return_exceptions=True)
+        elapsed = time.time() - start
+
+        successes = sum(1 for r in results if not isinstance(r, Exception) and r.status_code == 200)
+        print(f"  ✅ {successes}/10 succeeded in {elapsed:.2f}s")
+
+        # Phase 4: Multi-endpoint coverage
+        print("\n🔶 Phase 4: Testing multiple endpoints")
+        print("-" * 60)
+        endpoints = [
+            ("/md", {"url": "https://httpbin.org/html", "f": "fit", "c": "0"}),
+            ("/screenshot", {"url": "https://httpbin.org/html"}),
+            ("/pdf", {"url": "https://httpbin.org/html"}),
+        ]
+
+        for endpoint, payload in endpoints:
+            print(f"  Testing {endpoint}...")
+            try:
+                if endpoint == "/md":
+                    r = await client.post(f"{BASE_URL}{endpoint}", json=payload)
+                else:
+                    r = await client.post(f"{BASE_URL}{endpoint}", json=payload)
+                print(f"    ✅ {r.status_code}")
+            except Exception as e:
+                print(f"    ❌ {e}")
+            await asyncio.sleep(1)
+
+        # Phase 5: Intentional error (to populate errors tab)
+        print("\n🔷 Phase 5: Generating error examples")
+        print("-" * 60)
+        print("  Triggering invalid URL error...")
+        try:
+            r = await client.post(
+                f"{BASE_URL}/crawl",
+                json={"urls": ["invalid://bad-url"], "crawler_config": {}}
+            )
+            print(f"    Response: {r.status_code}")
+        except Exception as e:
+            print(f"    ✅ Error captured: {type(e).__name__}")
+
+        # Phase 6: Wait for janitor activity
+        print("\n🔶 Phase 6: Waiting for janitor cleanup...")
+        print("-" * 60)
+        print("  Idle for 40s to allow janitor to clean cold pool browsers...")
+        for i in range(40, 0, -10):
+            print(f"    {i}s remaining... (Check dashboard for cleanup events)")
+            await asyncio.sleep(10)
+
+        # Phase 7: Final stats check
+        print("\n🔷 Phase 7: Final dashboard state")
+        print("-" * 60)
+
+        r = await client.get(f"{BASE_URL}/monitor/health")
+        health = r.json()
+        print(f"  Memory: {health['container']['memory_percent']:.1f}%")
+        print(f"  Browsers: Perm={health['pool']['permanent']['active']}, "
+              f"Hot={health['pool']['hot']['count']}, Cold={health['pool']['cold']['count']}")
+
+        r = await client.get(f"{BASE_URL}/monitor/endpoints/stats")
+        stats = r.json()
+        print(f"\n  Endpoint Stats:")
+        for endpoint, data in stats.items():
+            print(f"    {endpoint}: {data['count']} req, "
+                  f"{data['avg_latency_ms']:.0f}ms avg, "
+                  f"{data['success_rate_percent']:.1f}% success")
+
+        r = await client.get(f"{BASE_URL}/monitor/browsers")
+        browsers = r.json()
+        print(f"\n  Pool Efficiency:")
+        print(f"    Total browsers: {browsers['summary']['total_count']}")
+        print(f"    Memory usage: {browsers['summary']['total_memory_mb']} MB")
+        print(f"    Reuse rate: {browsers['summary']['reuse_rate_percent']:.1f}%")
+
+    print("\n" + "=" * 60)
+    print("✅ Demo complete! Dashboard is now populated with rich data.")
+    print(f"\n📹 Recording tip: Refresh {BASE_URL}/dashboard")
+    print("   You should see:")
+    print("   • Active & completed requests")
+    print("   • Browser pool (permanent + hot/cold)")
+    print("   • Janitor cleanup events")
+    print("   • Endpoint analytics")
+    print("   • Memory timeline")
+
+if __name__ == "__main__":
+    try:
+        asyncio.run(demo_dashboard())
+    except KeyboardInterrupt:
+        print("\n\n⚠️  Demo interrupted by user")
+    except Exception as e:
+        print(f"\n\n❌ Demo failed: {e}")

deploy/docker/tests/requirements.txt

@@ -0,0 +1,2 @@
+httpx>=0.25.0
+docker>=7.0.0

deploy/docker/tests/test_1_basic.py

@@ -0,0 +1,138 @@
+#!/usr/bin/env python3
+"""
+Test 1: Basic Container Health + Single Endpoint
+- Starts container
+- Hits /health endpoint 10 times
+- Reports success rate and basic latency
+"""
+import asyncio
+import time
+import docker
+import httpx
+
+# Config
+IMAGE = "crawl4ai-local:latest"
+CONTAINER_NAME = "crawl4ai-test"
+PORT = 11235
+REQUESTS = 10
+
+async def test_endpoint(url: str, count: int):
+    """Hit endpoint multiple times, return stats."""
+    results = []
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        for i in range(count):
+            start = time.time()
+            try:
+                resp = await client.get(url)
+                elapsed = (time.time() - start) * 1000  # ms
+                results.append({
+                    "success": resp.status_code == 200,
+                    "latency_ms": elapsed,
+                    "status": resp.status_code
+                })
+                print(f"  [{i+1}/{count}] ✓ {resp.status_code} - {elapsed:.0f}ms")
+            except Exception as e:
+                results.append({
+                    "success": False,
+                    "latency_ms": None,
+                    "error": str(e)
+                })
+                print(f"  [{i+1}/{count}] ✗ Error: {e}")
+    return results
+
+def start_container(client, image: str, name: str, port: int):
+    """Start container, return container object."""
+    # Clean up existing
+    try:
+        old = client.containers.get(name)
+        print(f"🧹 Stopping existing container '{name}'...")
+        old.stop()
+        old.remove()
+    except docker.errors.NotFound:
+        pass
+
+    print(f"🚀 Starting container '{name}' from image '{image}'...")
+    container = client.containers.run(
+        image,
+        name=name,
+        ports={f"{port}/tcp": port},
+        detach=True,
+        shm_size="1g",
+        environment={"PYTHON_ENV": "production"}
+    )
+
+    # Wait for health
+    print(f"⏳ Waiting for container to be healthy...")
+    for _ in range(30):  # 30s timeout
+        time.sleep(1)
+        container.reload()
+        if container.status == "running":
+            try:
+                # Quick health check
+                import requests
+                resp = requests.get(f"http://localhost:{port}/health", timeout=2)
+                if resp.status_code == 200:
+                    print(f"✅ Container healthy!")
+                    return container
+            except:
+                pass
+    raise TimeoutError("Container failed to start")
+
+def stop_container(container):
+    """Stop and remove container."""
+    print(f"🛑 Stopping container...")
+    container.stop()
+    container.remove()
+    print(f"✅ Container removed")
+
+async def main():
+    print("="*60)
+    print("TEST 1: Basic Container Health + Single Endpoint")
+    print("="*60)
+
+    client = docker.from_env()
+    container = None
+
+    try:
+        # Start container
+        container = start_container(client, IMAGE, CONTAINER_NAME, PORT)
+
+        # Test /health endpoint
+        print(f"\n📊 Testing /health endpoint ({REQUESTS} requests)...")
+        url = f"http://localhost:{PORT}/health"
+        results = await test_endpoint(url, REQUESTS)
+
+        # Calculate stats
+        successes = sum(1 for r in results if r["success"])
+        success_rate = (successes / len(results)) * 100
+        latencies = [r["latency_ms"] for r in results if r["latency_ms"] is not None]
+        avg_latency = sum(latencies) / len(latencies) if latencies else 0
+
+        # Print results
+        print(f"\n{'='*60}")
+        print(f"RESULTS:")
+        print(f"  Success Rate: {success_rate:.1f}% ({successes}/{len(results)})")
+        print(f"  Avg Latency:  {avg_latency:.0f}ms")
+        if latencies:
+            print(f"  Min Latency:  {min(latencies):.0f}ms")
+            print(f"  Max Latency:  {max(latencies):.0f}ms")
+        print(f"{'='*60}")
+
+        # Pass/Fail
+        if success_rate >= 100:
+            print(f"✅ TEST PASSED")
+            return 0
+        else:
+            print(f"❌ TEST FAILED (expected 100% success rate)")
+            return 1
+
+    except Exception as e:
+        print(f"\n❌ TEST ERROR: {e}")
+        return 1
+    finally:
+        if container:
+            stop_container(container)
+
+if __name__ == "__main__":
+    exit_code = asyncio.run(main())
+    exit(exit_code)

deploy/docker/tests/test_2_memory.py

@@ -0,0 +1,205 @@
+#!/usr/bin/env python3
+"""
+Test 2: Docker Stats Monitoring
+- Extends Test 1 with real-time container stats
+- Monitors memory % and CPU during requests
+- Reports baseline, peak, and final memory
+"""
+import asyncio
+import time
+import docker
+import httpx
+from threading import Thread, Event
+
+# Config
+IMAGE = "crawl4ai-local:latest"
+CONTAINER_NAME = "crawl4ai-test"
+PORT = 11235
+REQUESTS = 20  # More requests to see memory usage
+
+# Stats tracking
+stats_history = []
+stop_monitoring = Event()
+
+def monitor_stats(container):
+    """Background thread to collect container stats."""
+    for stat in container.stats(decode=True, stream=True):
+        if stop_monitoring.is_set():
+            break
+
+        try:
+            # Extract memory stats
+            mem_usage = stat['memory_stats'].get('usage', 0) / (1024 * 1024)  # MB
+            mem_limit = stat['memory_stats'].get('limit', 1) / (1024 * 1024)
+            mem_percent = (mem_usage / mem_limit * 100) if mem_limit > 0 else 0
+
+            # Extract CPU stats (handle missing fields on Mac)
+            cpu_percent = 0
+            try:
+                cpu_delta = stat['cpu_stats']['cpu_usage']['total_usage'] - \
+                           stat['precpu_stats']['cpu_usage']['total_usage']
+                system_delta = stat['cpu_stats'].get('system_cpu_usage', 0) - \
+                              stat['precpu_stats'].get('system_cpu_usage', 0)
+                if system_delta > 0:
+                    num_cpus = stat['cpu_stats'].get('online_cpus', 1)
+                    cpu_percent = (cpu_delta / system_delta * num_cpus * 100.0)
+            except (KeyError, ZeroDivisionError):
+                pass
+
+            stats_history.append({
+                'timestamp': time.time(),
+                'memory_mb': mem_usage,
+                'memory_percent': mem_percent,
+                'cpu_percent': cpu_percent
+            })
+        except Exception as e:
+            # Skip malformed stats
+            pass
+
+        time.sleep(0.5)  # Sample every 500ms
+
+async def test_endpoint(url: str, count: int):
+    """Hit endpoint, return stats."""
+    results = []
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        for i in range(count):
+            start = time.time()
+            try:
+                resp = await client.get(url)
+                elapsed = (time.time() - start) * 1000
+                results.append({
+                    "success": resp.status_code == 200,
+                    "latency_ms": elapsed,
+                })
+                if (i + 1) % 5 == 0:  # Print every 5 requests
+                    print(f"  [{i+1}/{count}] ✓ {resp.status_code} - {elapsed:.0f}ms")
+            except Exception as e:
+                results.append({"success": False, "error": str(e)})
+                print(f"  [{i+1}/{count}] ✗ Error: {e}")
+    return results
+
+def start_container(client, image: str, name: str, port: int):
+    """Start container."""
+    try:
+        old = client.containers.get(name)
+        print(f"🧹 Stopping existing container '{name}'...")
+        old.stop()
+        old.remove()
+    except docker.errors.NotFound:
+        pass
+
+    print(f"🚀 Starting container '{name}'...")
+    container = client.containers.run(
+        image,
+        name=name,
+        ports={f"{port}/tcp": port},
+        detach=True,
+        shm_size="1g",
+        mem_limit="4g",  # Set explicit memory limit
+    )
+
+    print(f"⏳ Waiting for health...")
+    for _ in range(30):
+        time.sleep(1)
+        container.reload()
+        if container.status == "running":
+            try:
+                import requests
+                resp = requests.get(f"http://localhost:{port}/health", timeout=2)
+                if resp.status_code == 200:
+                    print(f"✅ Container healthy!")
+                    return container
+            except:
+                pass
+    raise TimeoutError("Container failed to start")
+
+def stop_container(container):
+    """Stop container."""
+    print(f"🛑 Stopping container...")
+    container.stop()
+    container.remove()
+
+async def main():
+    print("="*60)
+    print("TEST 2: Docker Stats Monitoring")
+    print("="*60)
+
+    client = docker.from_env()
+    container = None
+    monitor_thread = None
+
+    try:
+        # Start container
+        container = start_container(client, IMAGE, CONTAINER_NAME, PORT)
+
+        # Start stats monitoring in background
+        print(f"\n📊 Starting stats monitor...")
+        stop_monitoring.clear()
+        stats_history.clear()
+        monitor_thread = Thread(target=monitor_stats, args=(container,), daemon=True)
+        monitor_thread.start()
+
+        # Wait a bit for baseline
+        await asyncio.sleep(2)
+        baseline_mem = stats_history[-1]['memory_mb'] if stats_history else 0
+        print(f"📏 Baseline memory: {baseline_mem:.1f} MB")
+
+        # Test /health endpoint
+        print(f"\n🔄 Running {REQUESTS} requests to /health...")
+        url = f"http://localhost:{PORT}/health"
+        results = await test_endpoint(url, REQUESTS)
+
+        # Wait a bit to capture peak
+        await asyncio.sleep(1)
+
+        # Stop monitoring
+        stop_monitoring.set()
+        if monitor_thread:
+            monitor_thread.join(timeout=2)
+
+        # Calculate stats
+        successes = sum(1 for r in results if r.get("success"))
+        success_rate = (successes / len(results)) * 100
+        latencies = [r["latency_ms"] for r in results if "latency_ms" in r]
+        avg_latency = sum(latencies) / len(latencies) if latencies else 0
+
+        # Memory stats
+        memory_samples = [s['memory_mb'] for s in stats_history]
+        peak_mem = max(memory_samples) if memory_samples else 0
+        final_mem = memory_samples[-1] if memory_samples else 0
+        mem_delta = final_mem - baseline_mem
+
+        # Print results
+        print(f"\n{'='*60}")
+        print(f"RESULTS:")
+        print(f"  Success Rate: {success_rate:.1f}% ({successes}/{len(results)})")
+        print(f"  Avg Latency:  {avg_latency:.0f}ms")
+        print(f"\n  Memory Stats:")
+        print(f"    Baseline: {baseline_mem:.1f} MB")
+        print(f"    Peak:     {peak_mem:.1f} MB")
+        print(f"    Final:    {final_mem:.1f} MB")
+        print(f"    Delta:    {mem_delta:+.1f} MB")
+        print(f"{'='*60}")
+
+        # Pass/Fail
+        if success_rate >= 100 and mem_delta < 100:  # No significant memory growth
+            print(f"✅ TEST PASSED")
+            return 0
+        else:
+            if success_rate < 100:
+                print(f"❌ TEST FAILED (success rate < 100%)")
+            if mem_delta >= 100:
+                print(f"⚠️  WARNING: Memory grew by {mem_delta:.1f} MB")
+            return 1
+
+    except Exception as e:
+        print(f"\n❌ TEST ERROR: {e}")
+        return 1
+    finally:
+        stop_monitoring.set()
+        if container:
+            stop_container(container)
+
+if __name__ == "__main__":
+    exit_code = asyncio.run(main())
+    exit(exit_code)

deploy/docker/tests/test_3_pool.py

@@ -0,0 +1,229 @@
+#!/usr/bin/env python3
+"""
+Test 3: Pool Validation - Permanent Browser Reuse
+- Tests /html endpoint (should use permanent browser)
+- Monitors container logs for pool hit markers
+- Validates browser reuse rate
+- Checks memory after browser creation
+"""
+import asyncio
+import time
+import docker
+import httpx
+from threading import Thread, Event
+
+# Config
+IMAGE = "crawl4ai-local:latest"
+CONTAINER_NAME = "crawl4ai-test"
+PORT = 11235
+REQUESTS = 30
+
+# Stats tracking
+stats_history = []
+stop_monitoring = Event()
+
+def monitor_stats(container):
+    """Background stats collector."""
+    for stat in container.stats(decode=True, stream=True):
+        if stop_monitoring.is_set():
+            break
+        try:
+            mem_usage = stat['memory_stats'].get('usage', 0) / (1024 * 1024)
+            stats_history.append({
+                'timestamp': time.time(),
+                'memory_mb': mem_usage,
+            })
+        except:
+            pass
+        time.sleep(0.5)
+
+def count_log_markers(container):
+    """Extract pool usage markers from logs."""
+    logs = container.logs().decode('utf-8')
+
+    permanent_hits = logs.count("🔥 Using permanent browser")
+    hot_hits = logs.count("♨️  Using hot pool browser")
+    cold_hits = logs.count("❄️  Using cold pool browser")
+    new_created = logs.count("🆕 Creating new browser")
+
+    return {
+        'permanent_hits': permanent_hits,
+        'hot_hits': hot_hits,
+        'cold_hits': cold_hits,
+        'new_created': new_created,
+        'total_hits': permanent_hits + hot_hits + cold_hits
+    }
+
+async def test_endpoint(url: str, count: int):
+    """Hit endpoint multiple times."""
+    results = []
+    async with httpx.AsyncClient(timeout=60.0) as client:
+        for i in range(count):
+            start = time.time()
+            try:
+                resp = await client.post(url, json={"url": "https://httpbin.org/html"})
+                elapsed = (time.time() - start) * 1000
+                results.append({
+                    "success": resp.status_code == 200,
+                    "latency_ms": elapsed,
+                })
+                if (i + 1) % 10 == 0:
+                    print(f"  [{i+1}/{count}] ✓ {resp.status_code} - {elapsed:.0f}ms")
+            except Exception as e:
+                results.append({"success": False, "error": str(e)})
+                print(f"  [{i+1}/{count}] ✗ Error: {e}")
+    return results
+
+def start_container(client, image: str, name: str, port: int):
+    """Start container."""
+    try:
+        old = client.containers.get(name)
+        print(f"🧹 Stopping existing container...")
+        old.stop()
+        old.remove()
+    except docker.errors.NotFound:
+        pass
+
+    print(f"🚀 Starting container...")
+    container = client.containers.run(
+        image,
+        name=name,
+        ports={f"{port}/tcp": port},
+        detach=True,
+        shm_size="1g",
+        mem_limit="4g",
+    )
+
+    print(f"⏳ Waiting for health...")
+    for _ in range(30):
+        time.sleep(1)
+        container.reload()
+        if container.status == "running":
+            try:
+                import requests
+                resp = requests.get(f"http://localhost:{port}/health", timeout=2)
+                if resp.status_code == 200:
+                    print(f"✅ Container healthy!")
+                    return container
+            except:
+                pass
+    raise TimeoutError("Container failed to start")
+
+def stop_container(container):
+    """Stop container."""
+    print(f"🛑 Stopping container...")
+    container.stop()
+    container.remove()
+
+async def main():
+    print("="*60)
+    print("TEST 3: Pool Validation - Permanent Browser Reuse")
+    print("="*60)
+
+    client = docker.from_env()
+    container = None
+    monitor_thread = None
+
+    try:
+        # Start container
+        container = start_container(client, IMAGE, CONTAINER_NAME, PORT)
+
+        # Wait for permanent browser initialization
+        print(f"\n⏳ Waiting for permanent browser init (3s)...")
+        await asyncio.sleep(3)
+
+        # Start stats monitoring
+        print(f"📊 Starting stats monitor...")
+        stop_monitoring.clear()
+        stats_history.clear()
+        monitor_thread = Thread(target=monitor_stats, args=(container,), daemon=True)
+        monitor_thread.start()
+
+        await asyncio.sleep(1)
+        baseline_mem = stats_history[-1]['memory_mb'] if stats_history else 0
+        print(f"📏 Baseline (with permanent browser): {baseline_mem:.1f} MB")
+
+        # Test /html endpoint (uses permanent browser for default config)
+        print(f"\n🔄 Running {REQUESTS} requests to /html...")
+        url = f"http://localhost:{PORT}/html"
+        results = await test_endpoint(url, REQUESTS)
+
+        # Wait a bit
+        await asyncio.sleep(1)
+
+        # Stop monitoring
+        stop_monitoring.set()
+        if monitor_thread:
+            monitor_thread.join(timeout=2)
+
+        # Analyze logs for pool markers
+        print(f"\n📋 Analyzing pool usage...")
+        pool_stats = count_log_markers(container)
+
+        # Calculate request stats
+        successes = sum(1 for r in results if r.get("success"))
+        success_rate = (successes / len(results)) * 100
+        latencies = [r["latency_ms"] for r in results if "latency_ms" in r]
+        avg_latency = sum(latencies) / len(latencies) if latencies else 0
+
+        # Memory stats
+        memory_samples = [s['memory_mb'] for s in stats_history]
+        peak_mem = max(memory_samples) if memory_samples else 0
+        final_mem = memory_samples[-1] if memory_samples else 0
+        mem_delta = final_mem - baseline_mem
+
+        # Calculate reuse rate
+        total_requests = len(results)
+        total_pool_hits = pool_stats['total_hits']
+        reuse_rate = (total_pool_hits / total_requests * 100) if total_requests > 0 else 0
+
+        # Print results
+        print(f"\n{'='*60}")
+        print(f"RESULTS:")
+        print(f"  Success Rate: {success_rate:.1f}% ({successes}/{len(results)})")
+        print(f"  Avg Latency:  {avg_latency:.0f}ms")
+        print(f"\n  Pool Stats:")
+        print(f"    🔥 Permanent Hits: {pool_stats['permanent_hits']}")
+        print(f"    ♨️  Hot Pool Hits:   {pool_stats['hot_hits']}")
+        print(f"    ❄️  Cold Pool Hits:  {pool_stats['cold_hits']}")
+        print(f"    🆕 New Created:    {pool_stats['new_created']}")
+        print(f"    📊 Reuse Rate:     {reuse_rate:.1f}%")
+        print(f"\n  Memory Stats:")
+        print(f"    Baseline: {baseline_mem:.1f} MB")
+        print(f"    Peak:     {peak_mem:.1f} MB")
+        print(f"    Final:    {final_mem:.1f} MB")
+        print(f"    Delta:    {mem_delta:+.1f} MB")
+        print(f"{'='*60}")
+
+        # Pass/Fail
+        passed = True
+        if success_rate < 100:
+            print(f"❌ FAIL: Success rate {success_rate:.1f}% < 100%")
+            passed = False
+        if reuse_rate < 80:
+            print(f"❌ FAIL: Reuse rate {reuse_rate:.1f}% < 80% (expected high permanent browser usage)")
+            passed = False
+        if pool_stats['permanent_hits'] < (total_requests * 0.8):
+            print(f"⚠️  WARNING: Only {pool_stats['permanent_hits']} permanent hits out of {total_requests} requests")
+        if mem_delta > 200:
+            print(f"⚠️  WARNING: Memory grew by {mem_delta:.1f} MB (possible browser leak)")
+
+        if passed:
+            print(f"✅ TEST PASSED")
+            return 0
+        else:
+            return 1
+
+    except Exception as e:
+        print(f"\n❌ TEST ERROR: {e}")
+        import traceback
+        traceback.print_exc()
+        return 1
+    finally:
+        stop_monitoring.set()
+        if container:
+            stop_container(container)
+
+if __name__ == "__main__":
+    exit_code = asyncio.run(main())
+    exit(exit_code)

deploy/docker/tests/test_4_concurrent.py

@@ -0,0 +1,236 @@
+#!/usr/bin/env python3
+"""
+Test 4: Concurrent Load Testing
+- Tests pool under concurrent load
+- Escalates: 10 → 50 → 100 concurrent requests
+- Validates latency distribution (P50, P95, P99)
+- Monitors memory stability
+"""
+import asyncio
+import time
+import docker
+import httpx
+from threading import Thread, Event
+from collections import defaultdict
+
+# Config
+IMAGE = "crawl4ai-local:latest"
+CONTAINER_NAME = "crawl4ai-test"
+PORT = 11235
+LOAD_LEVELS = [
+    {"name": "Light", "concurrent": 10, "requests": 20},
+    {"name": "Medium", "concurrent": 50, "requests": 100},
+    {"name": "Heavy", "concurrent": 100, "requests": 200},
+]
+
+# Stats
+stats_history = []
+stop_monitoring = Event()
+
+def monitor_stats(container):
+    """Background stats collector."""
+    for stat in container.stats(decode=True, stream=True):
+        if stop_monitoring.is_set():
+            break
+        try:
+            mem_usage = stat['memory_stats'].get('usage', 0) / (1024 * 1024)
+            stats_history.append({'timestamp': time.time(), 'memory_mb': mem_usage})
+        except:
+            pass
+        time.sleep(0.5)
+
+def count_log_markers(container):
+    """Extract pool markers."""
+    logs = container.logs().decode('utf-8')
+    return {
+        'permanent': logs.count("🔥 Using permanent browser"),
+        'hot': logs.count("♨️  Using hot pool browser"),
+        'cold': logs.count("❄️  Using cold pool browser"),
+        'new': logs.count("🆕 Creating new browser"),
+    }
+
+async def hit_endpoint(client, url, payload, semaphore):
+    """Single request with concurrency control."""
+    async with semaphore:
+        start = time.time()
+        try:
+            resp = await client.post(url, json=payload, timeout=60.0)
+            elapsed = (time.time() - start) * 1000
+            return {"success": resp.status_code == 200, "latency_ms": elapsed}
+        except Exception as e:
+            return {"success": False, "error": str(e)}
+
+async def run_concurrent_test(url, payload, concurrent, total_requests):
+    """Run concurrent requests."""
+    semaphore = asyncio.Semaphore(concurrent)
+    async with httpx.AsyncClient() as client:
+        tasks = [hit_endpoint(client, url, payload, semaphore) for _ in range(total_requests)]
+        results = await asyncio.gather(*tasks)
+    return results
+
+def calculate_percentiles(latencies):
+    """Calculate P50, P95, P99."""
+    if not latencies:
+        return 0, 0, 0
+    sorted_lat = sorted(latencies)
+    n = len(sorted_lat)
+    return (
+        sorted_lat[int(n * 0.50)],
+        sorted_lat[int(n * 0.95)],
+        sorted_lat[int(n * 0.99)],
+    )
+
+def start_container(client, image, name, port):
+    """Start container."""
+    try:
+        old = client.containers.get(name)
+        print(f"🧹 Stopping existing container...")
+        old.stop()
+        old.remove()
+    except docker.errors.NotFound:
+        pass
+
+    print(f"🚀 Starting container...")
+    container = client.containers.run(
+        image, name=name, ports={f"{port}/tcp": port},
+        detach=True, shm_size="1g", mem_limit="4g",
+    )
+
+    print(f"⏳ Waiting for health...")
+    for _ in range(30):
+        time.sleep(1)
+        container.reload()
+        if container.status == "running":
+            try:
+                import requests
+                if requests.get(f"http://localhost:{port}/health", timeout=2).status_code == 200:
+                    print(f"✅ Container healthy!")
+                    return container
+            except:
+                pass
+    raise TimeoutError("Container failed to start")
+
+async def main():
+    print("="*60)
+    print("TEST 4: Concurrent Load Testing")
+    print("="*60)
+
+    client = docker.from_env()
+    container = None
+    monitor_thread = None
+
+    try:
+        container = start_container(client, IMAGE, CONTAINER_NAME, PORT)
+
+        print(f"\n⏳ Waiting for permanent browser init (3s)...")
+        await asyncio.sleep(3)
+
+        # Start monitoring
+        stop_monitoring.clear()
+        stats_history.clear()
+        monitor_thread = Thread(target=monitor_stats, args=(container,), daemon=True)
+        monitor_thread.start()
+
+        await asyncio.sleep(1)
+        baseline_mem = stats_history[-1]['memory_mb'] if stats_history else 0
+        print(f"📏 Baseline: {baseline_mem:.1f} MB\n")
+
+        url = f"http://localhost:{PORT}/html"
+        payload = {"url": "https://httpbin.org/html"}
+
+        all_results = []
+        level_stats = []
+
+        # Run load levels
+        for level in LOAD_LEVELS:
+            print(f"{'='*60}")
+            print(f"🔄 {level['name']} Load: {level['concurrent']} concurrent, {level['requests']} total")
+            print(f"{'='*60}")
+
+            start_time = time.time()
+            results = await run_concurrent_test(url, payload, level['concurrent'], level['requests'])
+            duration = time.time() - start_time
+
+            successes = sum(1 for r in results if r.get("success"))
+            success_rate = (successes / len(results)) * 100
+            latencies = [r["latency_ms"] for r in results if "latency_ms" in r]
+            p50, p95, p99 = calculate_percentiles(latencies)
+            avg_lat = sum(latencies) / len(latencies) if latencies else 0
+
+            print(f"  Duration:     {duration:.1f}s")
+            print(f"  Success:      {success_rate:.1f}% ({successes}/{len(results)})")
+            print(f"  Avg Latency:  {avg_lat:.0f}ms")
+            print(f"  P50/P95/P99:  {p50:.0f}ms / {p95:.0f}ms / {p99:.0f}ms")
+
+            level_stats.append({
+                'name': level['name'],
+                'concurrent': level['concurrent'],
+                'success_rate': success_rate,
+                'avg_latency': avg_lat,
+                'p50': p50, 'p95': p95, 'p99': p99,
+            })
+            all_results.extend(results)
+
+            await asyncio.sleep(2)  # Cool down between levels
+
+        # Stop monitoring
+        await asyncio.sleep(1)
+        stop_monitoring.set()
+        if monitor_thread:
+            monitor_thread.join(timeout=2)
+
+        # Final stats
+        pool_stats = count_log_markers(container)
+        memory_samples = [s['memory_mb'] for s in stats_history]
+        peak_mem = max(memory_samples) if memory_samples else 0
+        final_mem = memory_samples[-1] if memory_samples else 0
+
+        print(f"\n{'='*60}")
+        print(f"FINAL RESULTS:")
+        print(f"{'='*60}")
+        print(f"  Total Requests: {len(all_results)}")
+        print(f"\n  Pool Utilization:")
+        print(f"    🔥 Permanent: {pool_stats['permanent']}")
+        print(f"    ♨️  Hot:       {pool_stats['hot']}")
+        print(f"    ❄️  Cold:      {pool_stats['cold']}")
+        print(f"    🆕 New:       {pool_stats['new']}")
+        print(f"\n  Memory:")
+        print(f"    Baseline: {baseline_mem:.1f} MB")
+        print(f"    Peak:     {peak_mem:.1f} MB")
+        print(f"    Final:    {final_mem:.1f} MB")
+        print(f"    Delta:    {final_mem - baseline_mem:+.1f} MB")
+        print(f"{'='*60}")
+
+        # Pass/Fail
+        passed = True
+        for ls in level_stats:
+            if ls['success_rate'] < 99:
+                print(f"❌ FAIL: {ls['name']} success rate {ls['success_rate']:.1f}% < 99%")
+                passed = False
+            if ls['p99'] > 10000:  # 10s threshold
+                print(f"⚠️  WARNING: {ls['name']} P99 latency {ls['p99']:.0f}ms very high")
+
+        if final_mem - baseline_mem > 300:
+            print(f"⚠️  WARNING: Memory grew {final_mem - baseline_mem:.1f} MB")
+
+        if passed:
+            print(f"✅ TEST PASSED")
+            return 0
+        else:
+            return 1
+
+    except Exception as e:
+        print(f"\n❌ TEST ERROR: {e}")
+        import traceback
+        traceback.print_exc()
+        return 1
+    finally:
+        stop_monitoring.set()
+        if container:
+            print(f"🛑 Stopping container...")
+            container.stop()
+            container.remove()
+
+if __name__ == "__main__":
+    exit_code = asyncio.run(main())
+    exit(exit_code)

deploy/docker/tests/test_5_pool_stress.py

@@ -0,0 +1,267 @@
+#!/usr/bin/env python3
+"""
+Test 5: Pool Stress - Mixed Configs
+- Tests hot/cold pool with different browser configs
+- Uses different viewports to create config variants
+- Validates cold → hot promotion after 3 uses
+- Monitors pool tier distribution
+"""
+import asyncio
+import time
+import docker
+import httpx
+from threading import Thread, Event
+import random
+
+# Config
+IMAGE = "crawl4ai-local:latest"
+CONTAINER_NAME = "crawl4ai-test"
+PORT = 11235
+REQUESTS_PER_CONFIG = 5  # 5 requests per config variant
+
+# Different viewport configs to test pool tiers
+VIEWPORT_CONFIGS = [
+    None,  # Default (permanent browser)
+    {"width": 1920, "height": 1080},  # Desktop
+    {"width": 1024, "height": 768},   # Tablet
+    {"width": 375, "height": 667},    # Mobile
+]
+
+# Stats
+stats_history = []
+stop_monitoring = Event()
+
+def monitor_stats(container):
+    """Background stats collector."""
+    for stat in container.stats(decode=True, stream=True):
+        if stop_monitoring.is_set():
+            break
+        try:
+            mem_usage = stat['memory_stats'].get('usage', 0) / (1024 * 1024)
+            stats_history.append({'timestamp': time.time(), 'memory_mb': mem_usage})
+        except:
+            pass
+        time.sleep(0.5)
+
+def analyze_pool_logs(container):
+    """Extract detailed pool stats from logs."""
+    logs = container.logs().decode('utf-8')
+
+    permanent = logs.count("🔥 Using permanent browser")
+    hot = logs.count("♨️  Using hot pool browser")
+    cold = logs.count("❄️  Using cold pool browser")
+    new = logs.count("🆕 Creating new browser")
+    promotions = logs.count("⬆️  Promoting to hot pool")
+
+    return {
+        'permanent': permanent,
+        'hot': hot,
+        'cold': cold,
+        'new': new,
+        'promotions': promotions,
+        'total': permanent + hot + cold
+    }
+
+async def crawl_with_viewport(client, url, viewport):
+    """Single request with specific viewport."""
+    payload = {
+        "urls": ["https://httpbin.org/html"],
+        "browser_config": {},
+        "crawler_config": {}
+    }
+
+    # Add viewport if specified
+    if viewport:
+        payload["browser_config"] = {
+            "type": "BrowserConfig",
+            "params": {
+                "viewport": {"type": "dict", "value": viewport},
+                "headless": True,
+                "text_mode": True,
+                "extra_args": [
+                    "--no-sandbox",
+                    "--disable-dev-shm-usage",
+                    "--disable-gpu",
+                    "--disable-software-rasterizer",
+                    "--disable-web-security",
+                    "--allow-insecure-localhost",
+                    "--ignore-certificate-errors"
+                ]
+            }
+        }
+
+    start = time.time()
+    try:
+        resp = await client.post(url, json=payload, timeout=60.0)
+        elapsed = (time.time() - start) * 1000
+        return {"success": resp.status_code == 200, "latency_ms": elapsed, "viewport": viewport}
+    except Exception as e:
+        return {"success": False, "error": str(e), "viewport": viewport}
+
+def start_container(client, image, name, port):
+    """Start container."""
+    try:
+        old = client.containers.get(name)
+        print(f"🧹 Stopping existing container...")
+        old.stop()
+        old.remove()
+    except docker.errors.NotFound:
+        pass
+
+    print(f"🚀 Starting container...")
+    container = client.containers.run(
+        image, name=name, ports={f"{port}/tcp": port},
+        detach=True, shm_size="1g", mem_limit="4g",
+    )
+
+    print(f"⏳ Waiting for health...")
+    for _ in range(30):
+        time.sleep(1)
+        container.reload()
+        if container.status == "running":
+            try:
+                import requests
+                if requests.get(f"http://localhost:{port}/health", timeout=2).status_code == 200:
+                    print(f"✅ Container healthy!")
+                    return container
+            except:
+                pass
+    raise TimeoutError("Container failed to start")
+
+async def main():
+    print("="*60)
+    print("TEST 5: Pool Stress - Mixed Configs")
+    print("="*60)
+
+    client = docker.from_env()
+    container = None
+    monitor_thread = None
+
+    try:
+        container = start_container(client, IMAGE, CONTAINER_NAME, PORT)
+
+        print(f"\n⏳ Waiting for permanent browser init (3s)...")
+        await asyncio.sleep(3)
+
+        # Start monitoring
+        stop_monitoring.clear()
+        stats_history.clear()
+        monitor_thread = Thread(target=monitor_stats, args=(container,), daemon=True)
+        monitor_thread.start()
+
+        await asyncio.sleep(1)
+        baseline_mem = stats_history[-1]['memory_mb'] if stats_history else 0
+        print(f"📏 Baseline: {baseline_mem:.1f} MB\n")
+
+        url = f"http://localhost:{PORT}/crawl"
+
+        print(f"Testing {len(VIEWPORT_CONFIGS)} different configs:")
+        for i, vp in enumerate(VIEWPORT_CONFIGS):
+            vp_str = "Default" if vp is None else f"{vp['width']}x{vp['height']}"
+            print(f"  {i+1}. {vp_str}")
+        print()
+
+        # Run requests: repeat each config REQUESTS_PER_CONFIG times
+        all_results = []
+        config_sequence = []
+
+        for _ in range(REQUESTS_PER_CONFIG):
+            for viewport in VIEWPORT_CONFIGS:
+                config_sequence.append(viewport)
+
+        # Shuffle to mix configs
+        random.shuffle(config_sequence)
+
+        print(f"🔄 Running {len(config_sequence)} requests with mixed configs...")
+
+        async with httpx.AsyncClient() as http_client:
+            for i, viewport in enumerate(config_sequence):
+                result = await crawl_with_viewport(http_client, url, viewport)
+                all_results.append(result)
+
+                if (i + 1) % 5 == 0:
+                    vp_str = "default" if result['viewport'] is None else f"{result['viewport']['width']}x{result['viewport']['height']}"
+                    status = "✓" if result.get('success') else "✗"
+                    lat = f"{result.get('latency_ms', 0):.0f}ms" if 'latency_ms' in result else "error"
+                    print(f"  [{i+1}/{len(config_sequence)}] {status} {vp_str} - {lat}")
+
+        # Stop monitoring
+        await asyncio.sleep(2)
+        stop_monitoring.set()
+        if monitor_thread:
+            monitor_thread.join(timeout=2)
+
+        # Analyze results
+        pool_stats = analyze_pool_logs(container)
+
+        successes = sum(1 for r in all_results if r.get("success"))
+        success_rate = (successes / len(all_results)) * 100
+        latencies = [r["latency_ms"] for r in all_results if "latency_ms" in r]
+        avg_lat = sum(latencies) / len(latencies) if latencies else 0
+
+        memory_samples = [s['memory_mb'] for s in stats_history]
+        peak_mem = max(memory_samples) if memory_samples else 0
+        final_mem = memory_samples[-1] if memory_samples else 0
+
+        print(f"\n{'='*60}")
+        print(f"RESULTS:")
+        print(f"{'='*60}")
+        print(f"  Requests:     {len(all_results)}")
+        print(f"  Success Rate: {success_rate:.1f}% ({successes}/{len(all_results)})")
+        print(f"  Avg Latency:  {avg_lat:.0f}ms")
+        print(f"\n  Pool Statistics:")
+        print(f"    🔥 Permanent: {pool_stats['permanent']}")
+        print(f"    ♨️  Hot:       {pool_stats['hot']}")
+        print(f"    ❄️  Cold:      {pool_stats['cold']}")
+        print(f"    🆕 New:       {pool_stats['new']}")
+        print(f"    ⬆️  Promotions: {pool_stats['promotions']}")
+        print(f"    📊 Reuse:     {(pool_stats['total'] / len(all_results) * 100):.1f}%")
+        print(f"\n  Memory:")
+        print(f"    Baseline: {baseline_mem:.1f} MB")
+        print(f"    Peak:     {peak_mem:.1f} MB")
+        print(f"    Final:    {final_mem:.1f} MB")
+        print(f"    Delta:    {final_mem - baseline_mem:+.1f} MB")
+        print(f"{'='*60}")
+
+        # Pass/Fail
+        passed = True
+
+        if success_rate < 99:
+            print(f"❌ FAIL: Success rate {success_rate:.1f}% < 99%")
+            passed = False
+
+        # Should see promotions since we repeat each config 5 times
+        if pool_stats['promotions'] < (len(VIEWPORT_CONFIGS) - 1):  # -1 for default
+            print(f"⚠️  WARNING: Only {pool_stats['promotions']} promotions (expected ~{len(VIEWPORT_CONFIGS)-1})")
+
+        # Should have created some browsers for different configs
+        if pool_stats['new'] == 0:
+            print(f"⚠️  NOTE: No new browsers created (all used default?)")
+
+        if pool_stats['permanent'] == len(all_results):
+            print(f"⚠️  NOTE: All requests used permanent browser (configs not varying enough?)")
+
+        if final_mem - baseline_mem > 500:
+            print(f"⚠️  WARNING: Memory grew {final_mem - baseline_mem:.1f} MB")
+
+        if passed:
+            print(f"✅ TEST PASSED")
+            return 0
+        else:
+            return 1
+
+    except Exception as e:
+        print(f"\n❌ TEST ERROR: {e}")
+        import traceback
+        traceback.print_exc()
+        return 1
+    finally:
+        stop_monitoring.set()
+        if container:
+            print(f"🛑 Stopping container...")
+            container.stop()
+            container.remove()
+
+if __name__ == "__main__":
+    exit_code = asyncio.run(main())
+    exit(exit_code)

deploy/docker/tests/test_6_multi_endpoint.py

@@ -0,0 +1,234 @@
+#!/usr/bin/env python3
+"""
+Test 6: Multi-Endpoint Testing
+- Tests multiple endpoints together: /html, /screenshot, /pdf, /crawl
+- Validates each endpoint works correctly
+- Monitors success rates per endpoint
+"""
+import asyncio
+import time
+import docker
+import httpx
+from threading import Thread, Event
+
+# Config
+IMAGE = "crawl4ai-local:latest"
+CONTAINER_NAME = "crawl4ai-test"
+PORT = 11235
+REQUESTS_PER_ENDPOINT = 10
+
+# Stats
+stats_history = []
+stop_monitoring = Event()
+
+def monitor_stats(container):
+    """Background stats collector."""
+    for stat in container.stats(decode=True, stream=True):
+        if stop_monitoring.is_set():
+            break
+        try:
+            mem_usage = stat['memory_stats'].get('usage', 0) / (1024 * 1024)
+            stats_history.append({'timestamp': time.time(), 'memory_mb': mem_usage})
+        except:
+            pass
+        time.sleep(0.5)
+
+async def test_html(client, base_url, count):
+    """Test /html endpoint."""
+    url = f"{base_url}/html"
+    results = []
+    for _ in range(count):
+        start = time.time()
+        try:
+            resp = await client.post(url, json={"url": "https://httpbin.org/html"}, timeout=30.0)
+            elapsed = (time.time() - start) * 1000
+            results.append({"success": resp.status_code == 200, "latency_ms": elapsed})
+        except Exception as e:
+            results.append({"success": False, "error": str(e)})
+    return results
+
+async def test_screenshot(client, base_url, count):
+    """Test /screenshot endpoint."""
+    url = f"{base_url}/screenshot"
+    results = []
+    for _ in range(count):
+        start = time.time()
+        try:
+            resp = await client.post(url, json={"url": "https://httpbin.org/html"}, timeout=30.0)
+            elapsed = (time.time() - start) * 1000
+            results.append({"success": resp.status_code == 200, "latency_ms": elapsed})
+        except Exception as e:
+            results.append({"success": False, "error": str(e)})
+    return results
+
+async def test_pdf(client, base_url, count):
+    """Test /pdf endpoint."""
+    url = f"{base_url}/pdf"
+    results = []
+    for _ in range(count):
+        start = time.time()
+        try:
+            resp = await client.post(url, json={"url": "https://httpbin.org/html"}, timeout=30.0)
+            elapsed = (time.time() - start) * 1000
+            results.append({"success": resp.status_code == 200, "latency_ms": elapsed})
+        except Exception as e:
+            results.append({"success": False, "error": str(e)})
+    return results
+
+async def test_crawl(client, base_url, count):
+    """Test /crawl endpoint."""
+    url = f"{base_url}/crawl"
+    results = []
+    payload = {
+        "urls": ["https://httpbin.org/html"],
+        "browser_config": {},
+        "crawler_config": {}
+    }
+    for _ in range(count):
+        start = time.time()
+        try:
+            resp = await client.post(url, json=payload, timeout=30.0)
+            elapsed = (time.time() - start) * 1000
+            results.append({"success": resp.status_code == 200, "latency_ms": elapsed})
+        except Exception as e:
+            results.append({"success": False, "error": str(e)})
+    return results
+
+def start_container(client, image, name, port):
+    """Start container."""
+    try:
+        old = client.containers.get(name)
+        print(f"🧹 Stopping existing container...")
+        old.stop()
+        old.remove()
+    except docker.errors.NotFound:
+        pass
+
+    print(f"🚀 Starting container...")
+    container = client.containers.run(
+        image, name=name, ports={f"{port}/tcp": port},
+        detach=True, shm_size="1g", mem_limit="4g",
+    )
+
+    print(f"⏳ Waiting for health...")
+    for _ in range(30):
+        time.sleep(1)
+        container.reload()
+        if container.status == "running":
+            try:
+                import requests
+                if requests.get(f"http://localhost:{port}/health", timeout=2).status_code == 200:
+                    print(f"✅ Container healthy!")
+                    return container
+            except:
+                pass
+    raise TimeoutError("Container failed to start")
+
+async def main():
+    print("="*60)
+    print("TEST 6: Multi-Endpoint Testing")
+    print("="*60)
+
+    client = docker.from_env()
+    container = None
+    monitor_thread = None
+
+    try:
+        container = start_container(client, IMAGE, CONTAINER_NAME, PORT)
+
+        print(f"\n⏳ Waiting for permanent browser init (3s)...")
+        await asyncio.sleep(3)
+
+        # Start monitoring
+        stop_monitoring.clear()
+        stats_history.clear()
+        monitor_thread = Thread(target=monitor_stats, args=(container,), daemon=True)
+        monitor_thread.start()
+
+        await asyncio.sleep(1)
+        baseline_mem = stats_history[-1]['memory_mb'] if stats_history else 0
+        print(f"📏 Baseline: {baseline_mem:.1f} MB\n")
+
+        base_url = f"http://localhost:{PORT}"
+
+        # Test each endpoint
+        endpoints = {
+            "/html": test_html,
+            "/screenshot": test_screenshot,
+            "/pdf": test_pdf,
+            "/crawl": test_crawl,
+        }
+
+        all_endpoint_stats = {}
+
+        async with httpx.AsyncClient() as http_client:
+            for endpoint_name, test_func in endpoints.items():
+                print(f"🔄 Testing {endpoint_name} ({REQUESTS_PER_ENDPOINT} requests)...")
+                results = await test_func(http_client, base_url, REQUESTS_PER_ENDPOINT)
+
+                successes = sum(1 for r in results if r.get("success"))
+                success_rate = (successes / len(results)) * 100
+                latencies = [r["latency_ms"] for r in results if "latency_ms" in r]
+                avg_lat = sum(latencies) / len(latencies) if latencies else 0
+
+                all_endpoint_stats[endpoint_name] = {
+                    'success_rate': success_rate,
+                    'avg_latency': avg_lat,
+                    'total': len(results),
+                    'successes': successes
+                }
+
+                print(f"  ✓ Success: {success_rate:.1f}% ({successes}/{len(results)}), Avg: {avg_lat:.0f}ms")
+
+        # Stop monitoring
+        await asyncio.sleep(1)
+        stop_monitoring.set()
+        if monitor_thread:
+            monitor_thread.join(timeout=2)
+
+        # Final stats
+        memory_samples = [s['memory_mb'] for s in stats_history]
+        peak_mem = max(memory_samples) if memory_samples else 0
+        final_mem = memory_samples[-1] if memory_samples else 0
+
+        print(f"\n{'='*60}")
+        print(f"RESULTS:")
+        print(f"{'='*60}")
+        for endpoint, stats in all_endpoint_stats.items():
+            print(f"  {endpoint:12} Success: {stats['success_rate']:5.1f}%  Avg: {stats['avg_latency']:6.0f}ms")
+
+        print(f"\n  Memory:")
+        print(f"    Baseline: {baseline_mem:.1f} MB")
+        print(f"    Peak:     {peak_mem:.1f} MB")
+        print(f"    Final:    {final_mem:.1f} MB")
+        print(f"    Delta:    {final_mem - baseline_mem:+.1f} MB")
+        print(f"{'='*60}")
+
+        # Pass/Fail
+        passed = True
+        for endpoint, stats in all_endpoint_stats.items():
+            if stats['success_rate'] < 100:
+                print(f"❌ FAIL: {endpoint} success rate {stats['success_rate']:.1f}% < 100%")
+                passed = False
+
+        if passed:
+            print(f"✅ TEST PASSED")
+            return 0
+        else:
+            return 1
+
+    except Exception as e:
+        print(f"\n❌ TEST ERROR: {e}")
+        import traceback
+        traceback.print_exc()
+        return 1
+    finally:
+        stop_monitoring.set()
+        if container:
+            print(f"🛑 Stopping container...")
+            container.stop()
+            container.remove()
+
+if __name__ == "__main__":
+    exit_code = asyncio.run(main())
+    exit(exit_code)

deploy/docker/tests/test_7_cleanup.py

@@ -0,0 +1,199 @@
+#!/usr/bin/env python3
+"""
+Test 7: Cleanup Verification (Janitor)
+- Creates load spike then goes idle
+- Verifies memory returns to near baseline
+- Tests janitor cleanup of idle browsers
+- Monitors memory recovery time
+"""
+import asyncio
+import time
+import docker
+import httpx
+from threading import Thread, Event
+
+# Config
+IMAGE = "crawl4ai-local:latest"
+CONTAINER_NAME = "crawl4ai-test"
+PORT = 11235
+SPIKE_REQUESTS = 20  # Create some browsers
+IDLE_TIME = 90  # Wait 90s for janitor (runs every 60s)
+
+# Stats
+stats_history = []
+stop_monitoring = Event()
+
+def monitor_stats(container):
+    """Background stats collector."""
+    for stat in container.stats(decode=True, stream=True):
+        if stop_monitoring.is_set():
+            break
+        try:
+            mem_usage = stat['memory_stats'].get('usage', 0) / (1024 * 1024)
+            stats_history.append({'timestamp': time.time(), 'memory_mb': mem_usage})
+        except:
+            pass
+        time.sleep(1)  # Sample every 1s for this test
+
+def start_container(client, image, name, port):
+    """Start container."""
+    try:
+        old = client.containers.get(name)
+        print(f"🧹 Stopping existing container...")
+        old.stop()
+        old.remove()
+    except docker.errors.NotFound:
+        pass
+
+    print(f"🚀 Starting container...")
+    container = client.containers.run(
+        image, name=name, ports={f"{port}/tcp": port},
+        detach=True, shm_size="1g", mem_limit="4g",
+    )
+
+    print(f"⏳ Waiting for health...")
+    for _ in range(30):
+        time.sleep(1)
+        container.reload()
+        if container.status == "running":
+            try:
+                import requests
+                if requests.get(f"http://localhost:{port}/health", timeout=2).status_code == 200:
+                    print(f"✅ Container healthy!")
+                    return container
+            except:
+                pass
+    raise TimeoutError("Container failed to start")
+
+async def main():
+    print("="*60)
+    print("TEST 7: Cleanup Verification (Janitor)")
+    print("="*60)
+
+    client = docker.from_env()
+    container = None
+    monitor_thread = None
+
+    try:
+        container = start_container(client, IMAGE, CONTAINER_NAME, PORT)
+
+        print(f"\n⏳ Waiting for permanent browser init (3s)...")
+        await asyncio.sleep(3)
+
+        # Start monitoring
+        stop_monitoring.clear()
+        stats_history.clear()
+        monitor_thread = Thread(target=monitor_stats, args=(container,), daemon=True)
+        monitor_thread.start()
+
+        await asyncio.sleep(2)
+        baseline_mem = stats_history[-1]['memory_mb'] if stats_history else 0
+        print(f"📏 Baseline: {baseline_mem:.1f} MB\n")
+
+        # Create load spike with different configs to populate pool
+        print(f"🔥 Creating load spike ({SPIKE_REQUESTS} requests with varied configs)...")
+        url = f"http://localhost:{PORT}/crawl"
+
+        viewports = [
+            {"width": 1920, "height": 1080},
+            {"width": 1024, "height": 768},
+            {"width": 375, "height": 667},
+        ]
+
+        async with httpx.AsyncClient(timeout=60.0) as http_client:
+            tasks = []
+            for i in range(SPIKE_REQUESTS):
+                vp = viewports[i % len(viewports)]
+                payload = {
+                    "urls": ["https://httpbin.org/html"],
+                    "browser_config": {
+                        "type": "BrowserConfig",
+                        "params": {
+                            "viewport": {"type": "dict", "value": vp},
+                            "headless": True,
+                            "text_mode": True,
+                            "extra_args": [
+                                "--no-sandbox", "--disable-dev-shm-usage",
+                                "--disable-gpu", "--disable-software-rasterizer",
+                                "--disable-web-security", "--allow-insecure-localhost",
+                                "--ignore-certificate-errors"
+                            ]
+                        }
+                    },
+                    "crawler_config": {}
+                }
+                tasks.append(http_client.post(url, json=payload))
+
+            results = await asyncio.gather(*tasks, return_exceptions=True)
+            successes = sum(1 for r in results if hasattr(r, 'status_code') and r.status_code == 200)
+            print(f"  ✓ Spike completed: {successes}/{len(results)} successful")
+
+        # Measure peak
+        await asyncio.sleep(2)
+        peak_mem = max([s['memory_mb'] for s in stats_history]) if stats_history else baseline_mem
+        print(f"  📊 Peak memory: {peak_mem:.1f} MB (+{peak_mem - baseline_mem:.1f} MB)")
+
+        # Now go idle and wait for janitor
+        print(f"\n⏸️  Going idle for {IDLE_TIME}s (janitor cleanup)...")
+        print(f"  (Janitor runs every 60s, checking for idle browsers)")
+
+        for elapsed in range(0, IDLE_TIME, 10):
+            await asyncio.sleep(10)
+            current_mem = stats_history[-1]['memory_mb'] if stats_history else 0
+            print(f"  [{elapsed+10:3d}s] Memory: {current_mem:.1f} MB")
+
+        # Stop monitoring
+        stop_monitoring.set()
+        if monitor_thread:
+            monitor_thread.join(timeout=2)
+
+        # Analyze memory recovery
+        final_mem = stats_history[-1]['memory_mb'] if stats_history else 0
+        recovery_mb = peak_mem - final_mem
+        recovery_pct = (recovery_mb / (peak_mem - baseline_mem) * 100) if (peak_mem - baseline_mem) > 0 else 0
+
+        print(f"\n{'='*60}")
+        print(f"RESULTS:")
+        print(f"{'='*60}")
+        print(f"  Memory Journey:")
+        print(f"    Baseline:  {baseline_mem:.1f} MB")
+        print(f"    Peak:      {peak_mem:.1f} MB  (+{peak_mem - baseline_mem:.1f} MB)")
+        print(f"    Final:     {final_mem:.1f} MB  (+{final_mem - baseline_mem:.1f} MB)")
+        print(f"    Recovered: {recovery_mb:.1f} MB  ({recovery_pct:.1f}%)")
+        print(f"{'='*60}")
+
+        # Pass/Fail
+        passed = True
+
+        # Should have created some memory pressure
+        if peak_mem - baseline_mem < 100:
+            print(f"⚠️  WARNING: Peak increase only {peak_mem - baseline_mem:.1f} MB (expected more browsers)")
+
+        # Should recover most memory (within 100MB of baseline)
+        if final_mem - baseline_mem > 100:
+            print(f"⚠️  WARNING: Memory didn't recover well (still +{final_mem - baseline_mem:.1f} MB above baseline)")
+        else:
+            print(f"✅ Good memory recovery!")
+
+        # Baseline + 50MB tolerance
+        if final_mem - baseline_mem < 50:
+            print(f"✅ Excellent cleanup (within 50MB of baseline)")
+
+        print(f"✅ TEST PASSED")
+        return 0
+
+    except Exception as e:
+        print(f"\n❌ TEST ERROR: {e}")
+        import traceback
+        traceback.print_exc()
+        return 1
+    finally:
+        stop_monitoring.set()
+        if container:
+            print(f"🛑 Stopping container...")
+            container.stop()
+            container.remove()
+
+if __name__ == "__main__":
+    exit_code = asyncio.run(main())
+    exit(exit_code)

deploy/docker/tests/test_monitor_demo.py

@@ -0,0 +1,57 @@
+#!/usr/bin/env python3
+"""Quick test to generate monitor dashboard activity"""
+import httpx
+import asyncio
+
+async def test_dashboard():
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        print("📊 Generating dashboard activity...")
+
+        # Test 1: Simple crawl
+        print("\n1️⃣ Running simple crawl...")
+        r1 = await client.post(
+            "http://localhost:11235/crawl",
+            json={"urls": ["https://httpbin.org/html"], "crawler_config": {}}
+        )
+        print(f"   Status: {r1.status_code}")
+
+        # Test 2: Multiple URLs
+        print("\n2️⃣ Running multi-URL crawl...")
+        r2 = await client.post(
+            "http://localhost:11235/crawl",
+            json={
+                "urls": [
+                    "https://httpbin.org/html",
+                    "https://httpbin.org/json"
+                ],
+                "crawler_config": {}
+            }
+        )
+        print(f"   Status: {r2.status_code}")
+
+        # Test 3: Check monitor health
+        print("\n3️⃣ Checking monitor health...")
+        r3 = await client.get("http://localhost:11235/monitor/health")
+        health = r3.json()
+        print(f"   Memory: {health['container']['memory_percent']}%")
+        print(f"   Browsers: {health['pool']['permanent']['active']}")
+
+        # Test 4: Check requests
+        print("\n4️⃣ Checking request log...")
+        r4 = await client.get("http://localhost:11235/monitor/requests")
+        reqs = r4.json()
+        print(f"   Active: {len(reqs['active'])}")
+        print(f"   Completed: {len(reqs['completed'])}")
+
+        # Test 5: Check endpoint stats
+        print("\n5️⃣ Checking endpoint stats...")
+        r5 = await client.get("http://localhost:11235/monitor/endpoints/stats")
+        stats = r5.json()
+        for endpoint, data in stats.items():
+            print(f"   {endpoint}: {data['count']} requests, {data['avg_latency_ms']}ms avg")
+
+        print("\n✅ Dashboard should now show activity!")
+        print(f"\n🌐 Open: http://localhost:11235/dashboard")
+
+if __name__ == "__main__":
+    asyncio.run(test_dashboard())

deploy/docker/utils.py

@@ -178,4 +178,29 @@ def verify_email_domain(email: str) -> bool:
         records = dns.resolver.resolve(domain, 'MX')
         return True if records else False
     except Exception as e:
-        return False
+        return False
+
+def get_container_memory_percent() -> float:
+    """Get actual container memory usage vs limit (cgroup v1/v2 aware)."""
+    try:
+        # Try cgroup v2 first
+        usage_path = Path("/sys/fs/cgroup/memory.current")
+        limit_path = Path("/sys/fs/cgroup/memory.max")
+        if not usage_path.exists():
+            # Fall back to cgroup v1
+            usage_path = Path("/sys/fs/cgroup/memory/memory.usage_in_bytes")
+            limit_path = Path("/sys/fs/cgroup/memory/memory.limit_in_bytes")
+
+        usage = int(usage_path.read_text())
+        limit = int(limit_path.read_text())
+
+        # Handle unlimited (v2: "max", v1: > 1e18)
+        if limit > 1e18:
+            import psutil
+            limit = psutil.virtual_memory().total
+
+        return (usage / limit) * 100
+    except:
+        # Non-container or unsupported: fallback to host
+        import psutil
+        return psutil.virtual_memory().percent

docs/blog/release-v0.7.4.md

@@ -10,6 +10,7 @@ Today I'm releasing Crawl4AI v0.7.4—the Intelligent Table Extraction & Perform
 
 - **🚀 LLMTableExtraction**: Revolutionary table extraction with intelligent chunking for massive tables
 - **⚡ Enhanced Concurrency**: True concurrency improvements for fast-completing tasks in batch operations
+- **🧹 Memory Management Refactor**: Streamlined memory utilities and better resource management
 - **🔧 Browser Manager Fixes**: Resolved race conditions in concurrent page creation
 - **⌨️ Cross-Platform Browser Profiler**: Improved keyboard handling and quit mechanisms
 - **🔗 Advanced URL Processing**: Better handling of raw URLs and base tag link resolution
@@ -157,6 +158,40 @@ async with AsyncWebCrawler() as crawler:
 - **Monitoring Systems**: Faster health checks and status page monitoring
 - **Data Aggregation**: Improved performance for real-time data collection
 
+## 🧹 Memory Management Refactor: Cleaner Architecture
+
+**The Problem:** Memory utilities were scattered and difficult to maintain, with potential import conflicts and unclear organization.
+
+**My Solution:** I consolidated all memory-related utilities into the main `utils.py` module, creating a cleaner, more maintainable architecture.
+
+### Improved Memory Handling
+
+```python
+# All memory utilities now consolidated
+from crawl4ai.utils import get_true_memory_usage_percent, MemoryMonitor
+
+# Enhanced memory monitoring
+monitor = MemoryMonitor()
+monitor.start_monitoring()
+
+async with AsyncWebCrawler() as crawler:
+    # Memory-efficient batch processing
+    results = await crawler.arun_many(large_url_list)
+    
+    # Get accurate memory metrics
+    memory_usage = get_true_memory_usage_percent()
+    memory_report = monitor.get_report()
+    
+    print(f"Memory efficiency: {memory_report['efficiency']:.1f}%")
+    print(f"Peak usage: {memory_report['peak_mb']:.1f} MB")
+```
+
+**Expected Real-World Impact:**
+- **Production Stability**: More reliable memory tracking and management
+- **Code Maintainability**: Cleaner architecture for easier debugging
+- **Import Clarity**: Resolved potential conflicts and import issues
+- **Developer Experience**: Simpler API for memory monitoring
+
 ## 🔧 Critical Stability Fixes
 
 ### Browser Manager Race Condition Resolution

docs/blog/release-v0.7.5.md

@@ -1,318 +0,0 @@
-# 🚀 Crawl4AI v0.7.5: The Docker Hooks & Security Update
-
-*September 29, 2025 • 8 min read*
-
----
-
-Today I'm releasing Crawl4AI v0.7.5—focused on extensibility and security. This update introduces the Docker Hooks System for pipeline customization, enhanced LLM integration, and important security improvements.
-
-## 🎯 What's New at a Glance
-
-- **Docker Hooks System**: Custom Python functions at key pipeline points with function-based API
-- **Function-Based Hooks**: New `hooks_to_string()` utility with Docker client auto-conversion
-- **Enhanced LLM Integration**: Custom providers with temperature control
-- **HTTPS Preservation**: Secure internal link handling
-- **Bug Fixes**: Resolved multiple community-reported issues
-- **Improved Docker Error Handling**: Better debugging and reliability
-
-## 🔧 Docker Hooks System: Pipeline Customization
-
-Every scraping project needs custom logic—authentication, performance optimization, content processing. Traditional solutions require forking or complex workarounds. Docker Hooks let you inject custom Python functions at 8 key points in the crawling pipeline.
-
-### Real Example: Authentication & Performance
-
-```python
-import requests
-
-# Real working hooks for httpbin.org
-hooks_config = {
-    "on_page_context_created": """
-async def hook(page, context, **kwargs):
-    print("Hook: Setting up page context")
-    # Block images to speed up crawling
-    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
-    print("Hook: Images blocked")
-    return page
-""",
-
-    "before_retrieve_html": """
-async def hook(page, context, **kwargs):
-    print("Hook: Before retrieving HTML")
-    # Scroll to bottom to load lazy content
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(1000)
-    print("Hook: Scrolled to bottom")
-    return page
-""",
-
-    "before_goto": """
-async def hook(page, context, url, **kwargs):
-    print(f"Hook: About to navigate to {url}")
-    # Add custom headers
-    await page.set_extra_http_headers({
-        'X-Test-Header': 'crawl4ai-hooks-test'
-    })
-    return page
-"""
-}
-
-# Test with Docker API
-payload = {
-    "urls": ["https://httpbin.org/html"],
-    "hooks": {
-        "code": hooks_config,
-        "timeout": 30
-    }
-}
-
-response = requests.post("http://localhost:11235/crawl", json=payload)
-result = response.json()
-
-if result.get('success'):
-    print("✅ Hooks executed successfully!")
-    print(f"Content length: {len(result.get('markdown', ''))} characters")
-```
-
-**Available Hook Points:**
-- `on_browser_created`: Browser setup
-- `on_page_context_created`: Page context configuration
-- `before_goto`: Pre-navigation setup
-- `after_goto`: Post-navigation processing
-- `on_user_agent_updated`: User agent changes
-- `on_execution_started`: Crawl initialization
-- `before_retrieve_html`: Pre-extraction processing
-- `before_return_html`: Final HTML processing
-
-### Function-Based Hooks API
-
-Writing hooks as strings works, but lacks IDE support and type checking. v0.7.5 introduces a function-based approach with automatic conversion!
-
-**Option 1: Using the `hooks_to_string()` Utility**
-
-```python
-from crawl4ai import hooks_to_string
-import requests
-
-# Define hooks as regular Python functions (with full IDE support!)
-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',
-        'X-Custom-Header': 'my-value'
-    })
-    return page
-
-# Convert functions to strings
-hooks_code = hooks_to_string({
-    "on_page_context_created": on_page_context_created,
-    "before_goto": before_goto
-})
-
-# Use with REST API
-payload = {
-    "urls": ["https://httpbin.org/html"],
-    "hooks": {"code": hooks_code, "timeout": 30}
-}
-response = requests.post("http://localhost:11235/crawl", json=payload)
-```
-
-**Option 2: Docker Client with Automatic Conversion (Recommended!)**
-
-```python
-from crawl4ai.docker_client import Crawl4aiDockerClient
-
-# Define hooks as functions (same as above)
-async def on_page_context_created(page, context, **kwargs):
-    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
-    return page
-
-async def before_retrieve_html(page, context, **kwargs):
-    # Scroll to load lazy content
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(1000)
-    return page
-
-# Use Docker client - conversion happens automatically!
-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_retrieve_html": before_retrieve_html
-    },
-    hooks_timeout=30
-)
-
-if results and results.success:
-    print(f"✅ Hooks executed! HTML length: {len(results.html)}")
-```
-
-**Benefits of Function-Based Hooks:**
-- ✅ Full IDE support (autocomplete, syntax highlighting)
-- ✅ Type checking and linting
-- ✅ Easier to test and debug
-- ✅ Reusable across projects
-- ✅ Automatic conversion in Docker client
-- ✅ No breaking changes - string hooks still work!
-
-## 🤖 Enhanced LLM Integration
-
-Enhanced LLM integration with custom providers, temperature control, and base URL configuration.
-
-### Multi-Provider Support
-
-```python
-from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
-from crawl4ai.extraction_strategy import LLMExtractionStrategy
-
-# Test with different providers
-async def test_llm_providers():
-    # OpenAI with custom temperature
-    openai_strategy = LLMExtractionStrategy(
-        provider="gemini/gemini-2.5-flash-lite",
-        api_token="your-api-token",
-        temperature=0.7,  # New in v0.7.5
-        instruction="Summarize this page in one sentence"
-    )
-
-    async with AsyncWebCrawler() as crawler:
-        result = await crawler.arun(
-            "https://example.com",
-            config=CrawlerRunConfig(extraction_strategy=openai_strategy)
-        )
-
-        if result.success:
-            print("✅ LLM extraction completed")
-            print(result.extracted_content)
-
-# Docker API with enhanced LLM config
-llm_payload = {
-    "url": "https://example.com",
-    "f": "llm",
-    "q": "Summarize this page in one sentence.",
-    "provider": "gemini/gemini-2.5-flash-lite",
-    "temperature": 0.7
-}
-
-response = requests.post("http://localhost:11235/md", json=llm_payload)
-```
-
-**New Features:**
-- Custom `temperature` parameter for creativity control
-- `base_url` for custom API endpoints
-- Multi-provider environment variable support
-- Docker API integration
-
-## 🔒 HTTPS Preservation
-
-**The Problem:** Modern web apps require HTTPS everywhere. When crawlers downgrade internal links from HTTPS to HTTP, authentication breaks and security warnings appear.
-
-**Solution:** HTTPS preservation maintains secure protocols throughout crawling.
-
-```python
-from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, FilterChain, URLPatternFilter, BFSDeepCrawlStrategy
-
-async def test_https_preservation():
-    # Enable HTTPS preservation
-    url_filter = URLPatternFilter(
-        patterns=["^(https:\/\/)?quotes\.toscrape\.com(\/.*)?$"]
-    )
-
-    config = CrawlerRunConfig(
-        exclude_external_links=True,
-        preserve_https_for_internal_links=True,  # New in v0.7.5
-        deep_crawl_strategy=BFSDeepCrawlStrategy(
-            max_depth=2,
-            max_pages=5,
-            filter_chain=FilterChain([url_filter])
-        )
-    )
-
-    async with AsyncWebCrawler() as crawler:
-        async for result in await crawler.arun(
-            url="https://quotes.toscrape.com",
-            config=config
-        ):
-            # All internal links maintain HTTPS
-            internal_links = [link['href'] for link in result.links['internal']]
-            https_links = [link for link in internal_links if link.startswith('https://')]
-
-            print(f"HTTPS links preserved: {len(https_links)}/{len(internal_links)}")
-            for link in https_links[:3]:
-                print(f"  → {link}")
-```
-
-## 🛠️ Bug Fixes and Improvements
-
-### Major Fixes
-- **URL Processing**: Fixed '+' sign preservation in query parameters (#1332)
-- **Proxy Configuration**: Enhanced proxy string parsing (old `proxy` parameter deprecated)
-- **Docker Error Handling**: Comprehensive error messages with status codes
-- **Memory Management**: Fixed leaks in long-running sessions
-- **JWT Authentication**: Fixed Docker JWT validation issues (#1442)
-- **Playwright Stealth**: Fixed stealth features for Playwright integration (#1481)
-- **API Configuration**: Fixed config handling to prevent overriding user-provided settings (#1505)
-- **Docker Filter Serialization**: Resolved JSON encoding errors in deep crawl strategy (#1419)
-- **LLM Provider Support**: Fixed custom LLM provider integration for adaptive crawler (#1291)
-- **Performance Issues**: Resolved backoff strategy failures and timeout handling (#989)
-
-### Community-Reported Issues Fixed
-This release addresses multiple issues reported by the community through GitHub issues and Discord discussions:
-- Fixed browser configuration reference errors
-- Resolved dependency conflicts with cssselect
-- Improved error messaging for failed authentications
-- Enhanced compatibility with various proxy configurations
-- Fixed edge cases in URL normalization
-
-### Configuration Updates
-```python
-# Old proxy config (deprecated)
-# browser_config = BrowserConfig(proxy="http://proxy:8080")
-
-# New enhanced proxy config
-browser_config = BrowserConfig(
-    proxy_config={
-        "server": "http://proxy:8080",
-        "username": "optional-user",
-        "password": "optional-pass"
-    }
-)
-```
-
-## 🔄 Breaking Changes
-
-1. **Python 3.10+ Required**: Upgrade from Python 3.9
-2. **Proxy Parameter Deprecated**: Use new `proxy_config` structure
-3. **New Dependency**: Added `cssselect` for better CSS handling
-
-## 🚀 Get Started
-
-```bash
-# Install latest version
-pip install crawl4ai==0.7.5
-
-# Docker deployment
-docker pull unclecode/crawl4ai:latest
-docker run -p 11235:11235 unclecode/crawl4ai:latest
-```
-
-**Try the Demo:**
-```bash
-# Run working examples
-python docs/releases_review/demo_v0.7.5.py
-```
-
-**Resources:**
-- 📖 Documentation: [docs.crawl4ai.com](https://docs.crawl4ai.com)
-- 🐙 GitHub: [github.com/unclecode/crawl4ai](https://github.com/unclecode/crawl4ai)
-- 💬 Discord: [discord.gg/crawl4ai](https://discord.gg/jP8KfhDhyN)
-- 🐦 Twitter: [@unclecode](https://x.com/unclecode)
-
-Happy crawling! 🕷️

docs/examples/docker_client_hooks_example.py

@@ -1,522 +0,0 @@
-#!/usr/bin/env python3
-"""
-Comprehensive hooks examples using Docker Client with function objects.
-
-This approach is recommended because:
-- Write hooks as regular Python functions
-- Full IDE support (autocomplete, type checking)
-- Automatic conversion to API format
-- Reusable and testable code
-- Clean, readable syntax
-"""
-
-import asyncio
-from crawl4ai import Crawl4aiDockerClient
-
-# API_BASE_URL = "http://localhost:11235"
-API_BASE_URL = "http://localhost:11234"
-
-
-# ============================================================================
-# Hook Function Definitions
-# ============================================================================
-
-# --- All Hooks Demo ---
-async def browser_created_hook(browser, **kwargs):
-    """Called after browser is created"""
-    print("[HOOK] Browser created and ready")
-    return browser
-
-
-async def page_context_hook(page, context, **kwargs):
-    """Setup page environment"""
-    print("[HOOK] Setting up page environment")
-
-    # Set viewport
-    await page.set_viewport_size({"width": 1920, "height": 1080})
-
-    # Add cookies
-    await context.add_cookies([{
-        "name": "test_session",
-        "value": "abc123xyz",
-        "domain": ".httpbin.org",
-        "path": "/"
-    }])
-
-    # Block resources
-    await context.route("**/*.{png,jpg,jpeg,gif}", lambda route: route.abort())
-    await context.route("**/analytics/*", lambda route: route.abort())
-
-    print("[HOOK] Environment configured")
-    return page
-
-
-async def user_agent_hook(page, context, user_agent, **kwargs):
-    """Called when user agent is updated"""
-    print(f"[HOOK] User agent: {user_agent[:50]}...")
-    return page
-
-
-async def before_goto_hook(page, context, url, **kwargs):
-    """Called before navigating to URL"""
-    print(f"[HOOK] Navigating to: {url}")
-
-    await page.set_extra_http_headers({
-        "X-Custom-Header": "crawl4ai-test",
-        "Accept-Language": "en-US"
-    })
-
-    return page
-
-
-async def after_goto_hook(page, context, url, response, **kwargs):
-    """Called after page loads"""
-    print(f"[HOOK] Page loaded: {url}")
-
-    await page.wait_for_timeout(1000)
-
-    try:
-        await page.wait_for_selector("body", timeout=2000)
-        print("[HOOK] Body element ready")
-    except:
-        print("[HOOK] Timeout, continuing")
-
-    return page
-
-
-async def execution_started_hook(page, context, **kwargs):
-    """Called when custom JS execution starts"""
-    print("[HOOK] JS execution started")
-    await page.evaluate("console.log('[HOOK] Custom JS');")
-    return page
-
-
-async def before_retrieve_hook(page, context, **kwargs):
-    """Called before retrieving HTML"""
-    print("[HOOK] Preparing HTML retrieval")
-
-    # Scroll for lazy content
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
-    await page.wait_for_timeout(500)
-    await page.evaluate("window.scrollTo(0, 0);")
-
-    print("[HOOK] Scrolling complete")
-    return page
-
-
-async def before_return_hook(page, context, html, **kwargs):
-    """Called before returning HTML"""
-    print(f"[HOOK] HTML ready: {len(html)} chars")
-
-    metrics = await page.evaluate('''() => ({
-        images: document.images.length,
-        links: document.links.length,
-        scripts: document.scripts.length
-    })''')
-
-    print(f"[HOOK] Metrics - Images: {metrics['images']}, Links: {metrics['links']}")
-    return page
-
-
-# --- Authentication Hooks ---
-async def auth_context_hook(page, context, **kwargs):
-    """Setup authentication context"""
-    print("[HOOK] Setting up authentication")
-
-    # Add auth cookies
-    await context.add_cookies([{
-        "name": "auth_token",
-        "value": "fake_jwt_token",
-        "domain": ".httpbin.org",
-        "path": "/",
-        "httpOnly": True
-    }])
-
-    # Set localStorage
-    await page.evaluate('''
-        localStorage.setItem('user_id', '12345');
-        localStorage.setItem('auth_time', new Date().toISOString());
-    ''')
-
-    print("[HOOK] Auth context ready")
-    return page
-
-
-async def auth_headers_hook(page, context, url, **kwargs):
-    """Add authentication headers"""
-    print(f"[HOOK] Adding auth headers for {url}")
-
-    import base64
-    credentials = base64.b64encode(b"user:passwd").decode('ascii')
-
-    await page.set_extra_http_headers({
-        'Authorization': f'Basic {credentials}',
-        'X-API-Key': 'test-key-123'
-    })
-
-    return page
-
-
-# --- Performance Optimization Hooks ---
-async def performance_hook(page, context, **kwargs):
-    """Optimize page for performance"""
-    print("[HOOK] Optimizing for performance")
-
-    # Block resource-heavy content
-    await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda r: r.abort())
-    await context.route("**/*.{woff,woff2,ttf}", lambda r: r.abort())
-    await context.route("**/*.{mp4,webm,ogg}", lambda r: r.abort())
-    await context.route("**/googletagmanager.com/*", lambda r: r.abort())
-    await context.route("**/google-analytics.com/*", lambda r: r.abort())
-    await context.route("**/facebook.com/*", lambda r: r.abort())
-
-    # Disable animations
-    await page.add_style_tag(content='''
-        *, *::before, *::after {
-            animation-duration: 0s !important;
-            transition-duration: 0s !important;
-        }
-    ''')
-
-    print("[HOOK] Optimizations applied")
-    return page
-
-
-async def cleanup_hook(page, context, **kwargs):
-    """Clean page before extraction"""
-    print("[HOOK] Cleaning page")
-
-    await page.evaluate('''() => {
-        const selectors = [
-            '.ad', '.ads', '.advertisement',
-            '.popup', '.modal', '.overlay',
-            '.cookie-banner', '.newsletter'
-        ];
-
-        selectors.forEach(sel => {
-            document.querySelectorAll(sel).forEach(el => el.remove());
-        });
-
-        document.querySelectorAll('script, style').forEach(el => el.remove());
-    }''')
-
-    print("[HOOK] Page cleaned")
-    return page
-
-
-# --- Content Extraction Hooks ---
-async def wait_dynamic_content_hook(page, context, url, response, **kwargs):
-    """Wait for dynamic content to load"""
-    print(f"[HOOK] Waiting for dynamic content on {url}")
-
-    await page.wait_for_timeout(2000)
-
-    # Click "Load More" if exists
-    try:
-        load_more = await page.query_selector('[class*="load-more"], button:has-text("Load More")')
-        if load_more:
-            await load_more.click()
-            await page.wait_for_timeout(1000)
-            print("[HOOK] Clicked 'Load More'")
-    except:
-        pass
-
-    return page
-
-
-async def extract_metadata_hook(page, context, **kwargs):
-    """Extract page metadata"""
-    print("[HOOK] Extracting metadata")
-
-    metadata = await page.evaluate('''() => {
-        const getMeta = (name) => {
-            const el = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
-            return el ? el.getAttribute('content') : null;
-        };
-
-        return {
-            title: document.title,
-            description: getMeta('description'),
-            author: getMeta('author'),
-            keywords: getMeta('keywords'),
-        };
-    }''')
-
-    print(f"[HOOK] Metadata: {metadata}")
-
-    # Infinite scroll
-    for i in range(3):
-        await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
-        await page.wait_for_timeout(1000)
-        print(f"[HOOK] Scroll {i+1}/3")
-
-    return page
-
-
-# --- Multi-URL Hooks ---
-async def url_specific_hook(page, context, url, **kwargs):
-    """Apply URL-specific logic"""
-    print(f"[HOOK] Processing URL: {url}")
-
-    # URL-specific headers
-    if 'html' in url:
-        await page.set_extra_http_headers({"X-Type": "HTML"})
-    elif 'json' in url:
-        await page.set_extra_http_headers({"X-Type": "JSON"})
-
-    return page
-
-
-async def track_progress_hook(page, context, url, response, **kwargs):
-    """Track crawl progress"""
-    status = response.status if response else 'unknown'
-    print(f"[HOOK] Loaded {url} - Status: {status}")
-    return page
-
-
-# ============================================================================
-# Test Functions
-# ============================================================================
-
-async def test_all_hooks_comprehensive():
-    """Test all 8 hook types"""
-    print("=" * 70)
-    print("Test 1: All Hooks Comprehensive Demo (Docker Client)")
-    print("=" * 70)
-
-    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
-        print("\nCrawling with all 8 hooks...")
-
-        # Define hooks with function objects
-        hooks = {
-            "on_browser_created": browser_created_hook,
-            "on_page_context_created": page_context_hook,
-            "on_user_agent_updated": user_agent_hook,
-            "before_goto": before_goto_hook,
-            "after_goto": after_goto_hook,
-            "on_execution_started": execution_started_hook,
-            "before_retrieve_html": before_retrieve_hook,
-            "before_return_html": before_return_hook
-        }
-
-        result = await client.crawl(
-            ["https://httpbin.org/html"],
-            hooks=hooks,
-            hooks_timeout=30
-        )
-
-        print("\n✅ Success!")
-        print(f"   URL: {result.url}")
-        print(f"   Success: {result.success}")
-        print(f"   HTML: {len(result.html)} chars")
-
-
-async def test_authentication_workflow():
-    """Test authentication with hooks"""
-    print("\n" + "=" * 70)
-    print("Test 2: Authentication Workflow (Docker Client)")
-    print("=" * 70)
-
-    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
-        print("\nTesting authentication...")
-
-        hooks = {
-            "on_page_context_created": auth_context_hook,
-            "before_goto": auth_headers_hook
-        }
-
-        result = await client.crawl(
-            ["https://httpbin.org/basic-auth/user/passwd"],
-            hooks=hooks,
-            hooks_timeout=15
-        )
-
-        print("\n✅ Authentication completed")
-
-        if result.success:
-            if '"authenticated"' in result.html and 'true' in result.html:
-                print("   ✅ Basic auth successful!")
-            else:
-                print("   ⚠️ Auth status unclear")
-        else:
-            print(f"   ❌ Failed: {result.error_message}")
-
-
-async def test_performance_optimization():
-    """Test performance optimization"""
-    print("\n" + "=" * 70)
-    print("Test 3: Performance Optimization (Docker Client)")
-    print("=" * 70)
-
-    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
-        print("\nTesting performance hooks...")
-
-        hooks = {
-            "on_page_context_created": performance_hook,
-            "before_retrieve_html": cleanup_hook
-        }
-
-        result = await client.crawl(
-            ["https://httpbin.org/html"],
-            hooks=hooks,
-            hooks_timeout=10
-        )
-
-        print("\n✅ Optimization completed")
-        print(f"   HTML size: {len(result.html):,} chars")
-        print("   Resources blocked, ads removed")
-
-
-async def test_content_extraction():
-    """Test content extraction"""
-    print("\n" + "=" * 70)
-    print("Test 4: Content Extraction (Docker Client)")
-    print("=" * 70)
-
-    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
-        print("\nTesting extraction hooks...")
-
-        hooks = {
-            "after_goto": wait_dynamic_content_hook,
-            "before_retrieve_html": extract_metadata_hook
-        }
-
-        result = await client.crawl(
-            ["https://www.kidocode.com/"],
-            hooks=hooks,
-            hooks_timeout=20
-        )
-
-        print("\n✅ Extraction completed")
-        print(f"   URL: {result.url}")
-        print(f"   Success: {result.success}")
-        print(f"   Metadata: {result.metadata}")
-
-
-async def test_multi_url_crawl():
-    """Test hooks with multiple URLs"""
-    print("\n" + "=" * 70)
-    print("Test 5: Multi-URL Crawl (Docker Client)")
-    print("=" * 70)
-
-    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
-        print("\nCrawling multiple URLs...")
-
-        hooks = {
-            "before_goto": url_specific_hook,
-            "after_goto": track_progress_hook
-        }
-
-        results = await client.crawl(
-            [
-                "https://httpbin.org/html",
-                "https://httpbin.org/json",
-                "https://httpbin.org/xml"
-            ],
-            hooks=hooks,
-            hooks_timeout=15
-        )
-
-        print("\n✅ Multi-URL crawl completed")
-        print(f"\n   Crawled {len(results)} URLs:")
-        for i, result in enumerate(results, 1):
-            status = "✅" if result.success else "❌"
-            print(f"   {status} {i}. {result.url}")
-
-
-async def test_reusable_hook_library():
-    """Test using reusable hook library"""
-    print("\n" + "=" * 70)
-    print("Test 6: Reusable Hook Library (Docker Client)")
-    print("=" * 70)
-
-    # Create a library of reusable hooks
-    class HookLibrary:
-        @staticmethod
-        async def block_images(page, context, **kwargs):
-            """Block all images"""
-            await context.route("**/*.{png,jpg,jpeg,gif}", lambda r: r.abort())
-            print("[LIBRARY] Images blocked")
-            return page
-
-        @staticmethod
-        async def block_analytics(page, context, **kwargs):
-            """Block analytics"""
-            await context.route("**/analytics/*", lambda r: r.abort())
-            await context.route("**/google-analytics.com/*", lambda r: r.abort())
-            print("[LIBRARY] Analytics blocked")
-            return page
-
-        @staticmethod
-        async def scroll_infinite(page, context, **kwargs):
-            """Handle infinite scroll"""
-            for i in range(5):
-                prev = await page.evaluate("document.body.scrollHeight")
-                await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
-                await page.wait_for_timeout(1000)
-                curr = await page.evaluate("document.body.scrollHeight")
-                if curr == prev:
-                    break
-            print("[LIBRARY] Infinite scroll complete")
-            return page
-
-    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
-        print("\nUsing hook library...")
-
-        hooks = {
-            "on_page_context_created": HookLibrary.block_images,
-            "before_retrieve_html": HookLibrary.scroll_infinite
-        }
-
-        result = await client.crawl(
-            ["https://www.kidocode.com/"],
-            hooks=hooks,
-            hooks_timeout=20
-        )
-
-        print("\n✅ Library hooks completed")
-        print(f"   Success: {result.success}")
-
-
-# ============================================================================
-# Main
-# ============================================================================
-
-async def main():
-    """Run all Docker client hook examples"""
-    print("🔧 Crawl4AI Docker Client - Hooks Examples (Function-Based)")
-    print("Using Python function objects with automatic conversion")
-    print("=" * 70)
-
-    tests = [
-        ("All Hooks Demo", test_all_hooks_comprehensive),
-        ("Authentication", test_authentication_workflow),
-        ("Performance", test_performance_optimization),
-        ("Extraction", test_content_extraction),
-        ("Multi-URL", test_multi_url_crawl),
-        ("Hook Library", test_reusable_hook_library)
-    ]
-
-    for i, (name, test_func) in enumerate(tests, 1):
-        try:
-            await test_func()
-            print(f"\n✅ Test {i}/{len(tests)}: {name} completed\n")
-        except Exception as e:
-            print(f"\n❌ Test {i}/{len(tests)}: {name} failed: {e}\n")
-            import traceback
-            traceback.print_exc()
-
-    print("=" * 70)
-    print("🎉 All Docker client hook examples completed!")
-    print("\n💡 Key Benefits of Function-Based Hooks:")
-    print("   • Write as regular Python functions")
-    print("   • Full IDE support (autocomplete, types)")
-    print("   • Automatic conversion to API format")
-    print("   • Reusable across projects")
-    print("   • Clean, readable code")
-    print("   • Easy to test and debug")
-    print("=" * 70)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

docs/md_v2/blog/index.md

@@ -20,26 +20,17 @@ Ever wondered why your AI coding assistant struggles with your library despite c
 
 ## Latest Release
 
-### [Crawl4AI v0.7.5 – The Docker Hooks & Security Update](../blog/release-v0.7.5.md)
-*September 29, 2025*
-
-Crawl4AI v0.7.5 introduces the powerful Docker Hooks System for complete pipeline customization, enhanced LLM integration with custom providers, HTTPS preservation for modern web security, and resolves multiple community-reported issues.
-
-Key highlights:
-- **🔧 Docker Hooks System**: Custom Python functions at 8 key pipeline points for unprecedented customization
-- **🤖 Enhanced LLM Integration**: Custom providers with temperature control and base_url configuration
-- **🔒 HTTPS Preservation**: Secure internal link handling for modern web applications
-- **🐍 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
-
-[Read full release notes →](../blog/release-v0.7.5.md)
-
-## Recent Releases
-
 ### [Crawl4AI v0.7.4 – The Intelligent Table Extraction & Performance Update](../blog/release-v0.7.4.md)
 *August 17, 2025*
 
-Revolutionary LLM-powered table extraction with intelligent chunking, performance improvements for concurrent crawling, enhanced browser management, and critical stability fixes.
+Crawl4AI v0.7.4 introduces revolutionary LLM-powered table extraction with intelligent chunking, performance improvements for concurrent crawling, enhanced browser management, and critical stability fixes that make Crawl4AI more robust for production workloads.
+
+Key highlights:
+- **🚀 LLMTableExtraction**: Revolutionary table extraction with intelligent chunking for massive tables
+- **⚡ Dispatcher Bug Fix**: Fixed sequential processing issue in arun_many for fast-completing tasks
+- **🧹 Memory Management Refactor**: Streamlined memory utilities and better resource management
+- **🔧 Browser Manager Fixes**: Resolved race conditions in concurrent page creation
+- **🔗 Advanced URL Processing**: Better handling of raw URLs and base tag link resolution
 
 [Read full release notes →](../blog/release-v0.7.4.md)
 

docs/md_v2/blog/releases/v0.7.5.md

@@ -1,318 +0,0 @@
-# 🚀 Crawl4AI v0.7.5: The Docker Hooks & Security Update
-
-*September 29, 2025 • 8 min read*
-
----
-
-Today I'm releasing Crawl4AI v0.7.5—focused on extensibility and security. This update introduces the Docker Hooks System for pipeline customization, enhanced LLM integration, and important security improvements.
-
-## 🎯 What's New at a Glance
-
-- **Docker Hooks System**: Custom Python functions at key pipeline points with function-based API
-- **Function-Based Hooks**: New `hooks_to_string()` utility with Docker client auto-conversion
-- **Enhanced LLM Integration**: Custom providers with temperature control
-- **HTTPS Preservation**: Secure internal link handling
-- **Bug Fixes**: Resolved multiple community-reported issues
-- **Improved Docker Error Handling**: Better debugging and reliability
-
-## 🔧 Docker Hooks System: Pipeline Customization
-
-Every scraping project needs custom logic—authentication, performance optimization, content processing. Traditional solutions require forking or complex workarounds. Docker Hooks let you inject custom Python functions at 8 key points in the crawling pipeline.
-
-### Real Example: Authentication & Performance
-
-```python
-import requests
-
-# Real working hooks for httpbin.org
-hooks_config = {
-    "on_page_context_created": """
-async def hook(page, context, **kwargs):
-    print("Hook: Setting up page context")
-    # Block images to speed up crawling
-    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
-    print("Hook: Images blocked")
-    return page
-""",
-
-    "before_retrieve_html": """
-async def hook(page, context, **kwargs):
-    print("Hook: Before retrieving HTML")
-    # Scroll to bottom to load lazy content
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(1000)
-    print("Hook: Scrolled to bottom")
-    return page
-""",
-
-    "before_goto": """
-async def hook(page, context, url, **kwargs):
-    print(f"Hook: About to navigate to {url}")
-    # Add custom headers
-    await page.set_extra_http_headers({
-        'X-Test-Header': 'crawl4ai-hooks-test'
-    })
-    return page
-"""
-}
-
-# Test with Docker API
-payload = {
-    "urls": ["https://httpbin.org/html"],
-    "hooks": {
-        "code": hooks_config,
-        "timeout": 30
-    }
-}
-
-response = requests.post("http://localhost:11235/crawl", json=payload)
-result = response.json()
-
-if result.get('success'):
-    print("✅ Hooks executed successfully!")
-    print(f"Content length: {len(result.get('markdown', ''))} characters")
-```
-
-**Available Hook Points:**
-- `on_browser_created`: Browser setup
-- `on_page_context_created`: Page context configuration
-- `before_goto`: Pre-navigation setup
-- `after_goto`: Post-navigation processing
-- `on_user_agent_updated`: User agent changes
-- `on_execution_started`: Crawl initialization
-- `before_retrieve_html`: Pre-extraction processing
-- `before_return_html`: Final HTML processing
-
-### Function-Based Hooks API
-
-Writing hooks as strings works, but lacks IDE support and type checking. v0.7.5 introduces a function-based approach with automatic conversion!
-
-**Option 1: Using the `hooks_to_string()` Utility**
-
-```python
-from crawl4ai import hooks_to_string
-import requests
-
-# Define hooks as regular Python functions (with full IDE support!)
-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',
-        'X-Custom-Header': 'my-value'
-    })
-    return page
-
-# Convert functions to strings
-hooks_code = hooks_to_string({
-    "on_page_context_created": on_page_context_created,
-    "before_goto": before_goto
-})
-
-# Use with REST API
-payload = {
-    "urls": ["https://httpbin.org/html"],
-    "hooks": {"code": hooks_code, "timeout": 30}
-}
-response = requests.post("http://localhost:11235/crawl", json=payload)
-```
-
-**Option 2: Docker Client with Automatic Conversion (Recommended!)**
-
-```python
-from crawl4ai.docker_client import Crawl4aiDockerClient
-
-# Define hooks as functions (same as above)
-async def on_page_context_created(page, context, **kwargs):
-    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
-    return page
-
-async def before_retrieve_html(page, context, **kwargs):
-    # Scroll to load lazy content
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(1000)
-    return page
-
-# Use Docker client - conversion happens automatically!
-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_retrieve_html": before_retrieve_html
-    },
-    hooks_timeout=30
-)
-
-if results and results.success:
-    print(f"✅ Hooks executed! HTML length: {len(results.html)}")
-```
-
-**Benefits of Function-Based Hooks:**
-- ✅ Full IDE support (autocomplete, syntax highlighting)
-- ✅ Type checking and linting
-- ✅ Easier to test and debug
-- ✅ Reusable across projects
-- ✅ Automatic conversion in Docker client
-- ✅ No breaking changes - string hooks still work!
-
-## 🤖 Enhanced LLM Integration
-
-Enhanced LLM integration with custom providers, temperature control, and base URL configuration.
-
-### Multi-Provider Support
-
-```python
-from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
-from crawl4ai.extraction_strategy import LLMExtractionStrategy
-
-# Test with different providers
-async def test_llm_providers():
-    # OpenAI with custom temperature
-    openai_strategy = LLMExtractionStrategy(
-        provider="gemini/gemini-2.5-flash-lite",
-        api_token="your-api-token",
-        temperature=0.7,  # New in v0.7.5
-        instruction="Summarize this page in one sentence"
-    )
-
-    async with AsyncWebCrawler() as crawler:
-        result = await crawler.arun(
-            "https://example.com",
-            config=CrawlerRunConfig(extraction_strategy=openai_strategy)
-        )
-
-        if result.success:
-            print("✅ LLM extraction completed")
-            print(result.extracted_content)
-
-# Docker API with enhanced LLM config
-llm_payload = {
-    "url": "https://example.com",
-    "f": "llm",
-    "q": "Summarize this page in one sentence.",
-    "provider": "gemini/gemini-2.5-flash-lite",
-    "temperature": 0.7
-}
-
-response = requests.post("http://localhost:11235/md", json=llm_payload)
-```
-
-**New Features:**
-- Custom `temperature` parameter for creativity control
-- `base_url` for custom API endpoints
-- Multi-provider environment variable support
-- Docker API integration
-
-## 🔒 HTTPS Preservation
-
-**The Problem:** Modern web apps require HTTPS everywhere. When crawlers downgrade internal links from HTTPS to HTTP, authentication breaks and security warnings appear.
-
-**Solution:** HTTPS preservation maintains secure protocols throughout crawling.
-
-```python
-from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, FilterChain, URLPatternFilter, BFSDeepCrawlStrategy
-
-async def test_https_preservation():
-    # Enable HTTPS preservation
-    url_filter = URLPatternFilter(
-        patterns=["^(https:\/\/)?quotes\.toscrape\.com(\/.*)?$"]
-    )
-
-    config = CrawlerRunConfig(
-        exclude_external_links=True,
-        preserve_https_for_internal_links=True,  # New in v0.7.5
-        deep_crawl_strategy=BFSDeepCrawlStrategy(
-            max_depth=2,
-            max_pages=5,
-            filter_chain=FilterChain([url_filter])
-        )
-    )
-
-    async with AsyncWebCrawler() as crawler:
-        async for result in await crawler.arun(
-            url="https://quotes.toscrape.com",
-            config=config
-        ):
-            # All internal links maintain HTTPS
-            internal_links = [link['href'] for link in result.links['internal']]
-            https_links = [link for link in internal_links if link.startswith('https://')]
-
-            print(f"HTTPS links preserved: {len(https_links)}/{len(internal_links)}")
-            for link in https_links[:3]:
-                print(f"  → {link}")
-```
-
-## 🛠️ Bug Fixes and Improvements
-
-### Major Fixes
-- **URL Processing**: Fixed '+' sign preservation in query parameters (#1332)
-- **Proxy Configuration**: Enhanced proxy string parsing (old `proxy` parameter deprecated)
-- **Docker Error Handling**: Comprehensive error messages with status codes
-- **Memory Management**: Fixed leaks in long-running sessions
-- **JWT Authentication**: Fixed Docker JWT validation issues (#1442)
-- **Playwright Stealth**: Fixed stealth features for Playwright integration (#1481)
-- **API Configuration**: Fixed config handling to prevent overriding user-provided settings (#1505)
-- **Docker Filter Serialization**: Resolved JSON encoding errors in deep crawl strategy (#1419)
-- **LLM Provider Support**: Fixed custom LLM provider integration for adaptive crawler (#1291)
-- **Performance Issues**: Resolved backoff strategy failures and timeout handling (#989)
-
-### Community-Reported Issues Fixed
-This release addresses multiple issues reported by the community through GitHub issues and Discord discussions:
-- Fixed browser configuration reference errors
-- Resolved dependency conflicts with cssselect
-- Improved error messaging for failed authentications
-- Enhanced compatibility with various proxy configurations
-- Fixed edge cases in URL normalization
-
-### Configuration Updates
-```python
-# Old proxy config (deprecated)
-# browser_config = BrowserConfig(proxy="http://proxy:8080")
-
-# New enhanced proxy config
-browser_config = BrowserConfig(
-    proxy_config={
-        "server": "http://proxy:8080",
-        "username": "optional-user",
-        "password": "optional-pass"
-    }
-)
-```
-
-## 🔄 Breaking Changes
-
-1. **Python 3.10+ Required**: Upgrade from Python 3.9
-2. **Proxy Parameter Deprecated**: Use new `proxy_config` structure
-3. **New Dependency**: Added `cssselect` for better CSS handling
-
-## 🚀 Get Started
-
-```bash
-# Install latest version
-pip install crawl4ai==0.7.5
-
-# Docker deployment
-docker pull unclecode/crawl4ai:latest
-docker run -p 11235:11235 unclecode/crawl4ai:latest
-```
-
-**Try the Demo:**
-```bash
-# Run working examples
-python docs/releases_review/demo_v0.7.5.py
-```
-
-**Resources:**
-- 📖 Documentation: [docs.crawl4ai.com](https://docs.crawl4ai.com)
-- 🐙 GitHub: [github.com/unclecode/crawl4ai](https://github.com/unclecode/crawl4ai)
-- 💬 Discord: [discord.gg/crawl4ai](https://discord.gg/jP8KfhDhyN)
-- 🐦 Twitter: [@unclecode](https://x.com/unclecode)
-
-Happy crawling! 🕷️

docs/md_v2/index.md

@@ -59,27 +59,6 @@ Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant
 
 > **Note**: If you're looking for the old documentation, you can access it [here](https://old.docs.crawl4ai.com).
 
-## 🆕 AI Assistant Skill Now Available!
-
-<div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); padding: 20px; border-radius: 10px; margin: 20px 0; box-shadow: 0 4px 6px rgba(0,0,0,0.1);">
-  <h3 style="color: white; margin: 0 0 10px 0;">🤖 Crawl4AI Skill for Claude & AI Assistants</h3>
-  <p style="color: white; margin: 10px 0;">Supercharge your AI coding assistant with complete Crawl4AI knowledge! Download our comprehensive skill package that includes:</p>
-  <ul style="color: white; margin: 10px 0;">
-    <li>📚 Complete SDK reference (23K+ words)</li>
-    <li>🚀 Ready-to-use extraction scripts</li>
-    <li>⚡ Schema generation for efficient scraping</li>
-    <li>🔧 Version 0.7.4 compatible</li>
-  </ul>
-  <div style="text-align: center; margin-top: 15px;">
-    <a href="assets/crawl4ai-skill.zip" download style="background: white; color: #667eea; padding: 12px 30px; border-radius: 5px; text-decoration: none; font-weight: bold; display: inline-block; transition: transform 0.2s;">
-      📦 Download Skill Package
-    </a>
-  </div>
-  <p style="color: white; margin: 15px 0 0 0; font-size: 0.9em; text-align: center;">
-    Works with Claude, Cursor, Windsurf, and other AI coding assistants. Import the .zip file into your AI assistant's skill/knowledge system.
-  </p>
-</div>
-
 ## 🎯 New: Adaptive Web Crawling
 
 Crawl4AI now features intelligent adaptive crawling that knows when to stop! Using advanced information foraging algorithms, it determines when sufficient information has been gathered to answer your query.

docs/releases_review/demo_v0.7.5.py

@@ -1,338 +0,0 @@
-"""
-🚀 Crawl4AI v0.7.5 Release Demo - Working Examples
-==================================================
-This demo showcases key features introduced in v0.7.5 with real, executable examples.
-
-Featured Demos:
-1. ✅ Docker Hooks System - Real API calls with custom hooks (string & function-based)
-2. ✅ Enhanced LLM Integration - Working LLM configurations
-3. ✅ HTTPS Preservation - Live crawling with HTTPS maintenance
-
-Requirements:
-- crawl4ai v0.7.5 installed
-- Docker running with crawl4ai image (optional for Docker demos)
-- Valid API keys for LLM demos (optional)
-"""
-
-import asyncio
-import requests
-import time
-import sys
-
-from crawl4ai import (AsyncWebCrawler, CrawlerRunConfig, BrowserConfig,
-                      CacheMode, FilterChain, URLPatternFilter, BFSDeepCrawlStrategy,
-                      hooks_to_string)
-from crawl4ai.docker_client import Crawl4aiDockerClient
-    
-
-def print_section(title: str, description: str = ""):
-    """Print a section header"""
-    print(f"\n{'=' * 60}")
-    print(f"{title}")
-    if description:
-        print(f"{description}")
-    print(f"{'=' * 60}\n")
-
-
-async def demo_1_docker_hooks_system():
-    """Demo 1: Docker Hooks System - Real API calls with custom hooks"""
-    print_section(
-        "Demo 1: Docker Hooks System",
-        "Testing both string-based and function-based hooks (NEW in v0.7.5!)"
-    )
-
-    # Check Docker service availability
-    def check_docker_service():
-        try:
-            response = requests.get("http://localhost:11235/", timeout=3)
-            return response.status_code == 200
-        except:
-            return False
-
-    print("Checking Docker service...")
-    docker_running = check_docker_service()
-
-    if not docker_running:
-        print("⚠️  Docker service not running on localhost:11235")
-        print("To test Docker hooks:")
-        print("1. Run: docker run -p 11235:11235 unclecode/crawl4ai:latest")
-        print("2. Wait for service to start")
-        print("3. Re-run this demo\n")
-        return
-
-    print("✓ Docker service detected!")
-
-    # ============================================================================
-    # PART 1: Traditional String-Based Hooks (Works with REST API)
-    # ============================================================================
-    print("\n" + "─" * 60)
-    print("Part 1: String-Based Hooks (REST API)")
-    print("─" * 60)
-
-    hooks_config_string = {
-        "on_page_context_created": """
-async def hook(page, context, **kwargs):
-    print("[String Hook] Setting up page context")
-    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
-    return page
-""",
-        "before_retrieve_html": """
-async def hook(page, context, **kwargs):
-    print("[String Hook] Before retrieving HTML")
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(1000)
-    return page
-"""
-    }
-
-    payload = {
-        "urls": ["https://httpbin.org/html"],
-        "hooks": {
-            "code": hooks_config_string,
-            "timeout": 30
-        }
-    }
-
-    print("🔧 Using string-based hooks for REST API...")
-    try:
-        start_time = time.time()
-        response = requests.post("http://localhost:11235/crawl", json=payload, timeout=60)
-        execution_time = time.time() - start_time
-
-        if response.status_code == 200:
-            result = response.json()
-            print(f"✅ String-based hooks executed in {execution_time:.2f}s")
-            if result.get('results') and result['results'][0].get('success'):
-                html_length = len(result['results'][0].get('html', ''))
-                print(f"   📄 HTML length: {html_length} characters")
-        else:
-            print(f"❌ Request failed: {response.status_code}")
-    except Exception as e:
-        print(f"❌ Error: {str(e)}")
-
-    # ============================================================================
-    # PART 2: NEW Function-Based Hooks with Docker Client (v0.7.5)
-    # ============================================================================
-    print("\n" + "─" * 60)
-    print("Part 2: Function-Based Hooks with Docker Client (✨ NEW!)")
-    print("─" * 60)
-
-    # Define hooks as regular Python functions
-    async def on_page_context_created_func(page, context, **kwargs):
-        """Block images to speed up crawling"""
-        print("[Function Hook] Setting up page context")
-        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_func(page, context, url, **kwargs):
-        """Add custom headers before navigation"""
-        print(f"[Function Hook] About to navigate to {url}")
-        await page.set_extra_http_headers({
-            'X-Crawl4AI': 'v0.7.5-function-hooks',
-            'X-Test-Header': 'demo'
-        })
-        return page
-
-    async def before_retrieve_html_func(page, context, **kwargs):
-        """Scroll to load lazy content"""
-        print("[Function Hook] Scrolling page for lazy-loaded content")
-        await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-        await page.wait_for_timeout(500)
-        await page.evaluate("window.scrollTo(0, 0)")
-        return page
-
-    # Use the hooks_to_string utility (can be used standalone)
-    print("\n📦 Converting functions to strings with hooks_to_string()...")
-    hooks_as_strings = hooks_to_string({
-        "on_page_context_created": on_page_context_created_func,
-        "before_goto": before_goto_func,
-        "before_retrieve_html": before_retrieve_html_func
-    })
-    print(f"   ✓ Converted {len(hooks_as_strings)} hooks to string format")
-
-    # OR use Docker Client which does conversion automatically!
-    print("\n🐳 Using Docker Client with automatic conversion...")
-    try:
-        client = Crawl4aiDockerClient(base_url="http://localhost:11235")
-
-        # Pass function objects directly - conversion happens automatically!
-        results = await client.crawl(
-            urls=["https://httpbin.org/html"],
-            hooks={
-                "on_page_context_created": on_page_context_created_func,
-                "before_goto": before_goto_func,
-                "before_retrieve_html": before_retrieve_html_func
-            },
-            hooks_timeout=30
-        )
-
-        if results and results.success:
-            print(f"✅ Function-based hooks executed successfully!")
-            print(f"   📄 HTML length: {len(results.html)} characters")
-            print(f"   🎯 URL: {results.url}")
-        else:
-            print("⚠️ Crawl completed but may have warnings")
-
-    except Exception as e:
-        print(f"❌ Docker client error: {str(e)}")
-
-    # Show the benefits
-    print("\n" + "=" * 60)
-    print("✨ Benefits of Function-Based Hooks:")
-    print("=" * 60)
-    print("✓ Full IDE support (autocomplete, syntax highlighting)")
-    print("✓ Type checking and linting")
-    print("✓ Easier to test and debug")
-    print("✓ Reusable across projects")
-    print("✓ Automatic conversion in Docker client")
-    print("=" * 60)
-
-
-async def demo_2_enhanced_llm_integration():
-    """Demo 2: Enhanced LLM Integration - Working LLM configurations"""
-    print_section(
-        "Demo 2: Enhanced LLM Integration",
-        "Testing custom LLM providers and configurations"
-    )
-
-    print("🤖 Testing Enhanced LLM Integration Features")
-
-    provider = "gemini/gemini-2.5-flash-lite"
-    payload = {
-        "url": "https://example.com",
-        "f": "llm",
-        "q": "Summarize this page in one sentence.",
-        "provider": provider,  # Explicitly set provider
-        "temperature": 0.7
-    }
-    try:
-        response = requests.post(
-            "http://localhost:11235/md",
-            json=payload,
-            timeout=60
-        )
-        if response.status_code == 200:
-            result = response.json()
-            print(f"✓ Request successful with provider: {provider}")
-            print(f"  - Response keys: {list(result.keys())}")
-            print(f"  - Content length: {len(result.get('markdown', ''))} characters")
-            print(f"  - Note: Actual LLM call may fail without valid API key")
-        else:
-            print(f"❌ Request failed: {response.status_code}")
-            print(f"  - Response: {response.text[:500]}")
-            
-    except Exception as e:
-        print(f"[red]Error: {e}[/]")
-
-
-async def demo_3_https_preservation():
-    """Demo 3: HTTPS Preservation - Live crawling with HTTPS maintenance"""
-    print_section(
-        "Demo 3: HTTPS Preservation",
-        "Testing HTTPS preservation for internal links"
-    )
-
-    print("🔒 Testing HTTPS Preservation Feature")
-
-    # Test with HTTPS preservation enabled
-    print("\nTest 1: HTTPS Preservation ENABLED")
-
-    url_filter = URLPatternFilter(
-        patterns=["^(https:\/\/)?quotes\.toscrape\.com(\/.*)?$"]
-    )
-    config = CrawlerRunConfig(
-        exclude_external_links=True, 
-        stream=True, 
-        verbose=False,
-        preserve_https_for_internal_links=True,
-        deep_crawl_strategy=BFSDeepCrawlStrategy(
-            max_depth=2, 
-            max_pages=5,
-            filter_chain=FilterChain([url_filter])
-        )
-    )
-
-    test_url = "https://quotes.toscrape.com"
-    print(f"🎯 Testing URL: {test_url}")
-
-    async with AsyncWebCrawler() as crawler:
-        async for result in await crawler.arun(url=test_url, config=config):
-            print("✓ HTTPS Preservation Test Completed")
-            internal_links = [i['href'] for i in result.links['internal']]
-            for link in internal_links:
-                print(f"  → {link}")
-
-
-async def main():
-    """Run all demos"""
-    print("\n" + "=" * 60)
-    print("🚀 Crawl4AI v0.7.5 Working Demo")
-    print("=" * 60)
-
-    # Check system requirements
-    print("🔍 System Requirements Check:")
-    print(f"  - Python version: {sys.version.split()[0]} {'✓' if sys.version_info >= (3, 10) else '❌ (3.10+ required)'}")
-
-    try:
-        import requests
-        print(f"  - Requests library: ✓")
-    except ImportError:
-        print(f"  - Requests library: ❌")
-
-    print()
-
-    demos = [
-        ("Docker Hooks System", demo_1_docker_hooks_system),
-        ("Enhanced LLM Integration", demo_2_enhanced_llm_integration),
-        ("HTTPS Preservation", demo_3_https_preservation),
-    ]
-
-    for i, (name, demo_func) in enumerate(demos, 1):
-        try:
-            print(f"\n📍 Starting Demo {i}/{len(demos)}: {name}")
-            await demo_func()
-
-            if i < len(demos):
-                print(f"\n✨ Demo {i} complete! Press Enter for next demo...")
-                input()
-
-        except KeyboardInterrupt:
-            print(f"\n⏹️  Demo interrupted by user")
-            break
-        except Exception as e:
-            print(f"❌ Demo {i} error: {str(e)}")
-            print("Continuing to next demo...")
-            continue
-
-    print("\n" + "=" * 60)
-    print("🎉 Demo Complete!")
-    print("=" * 60)
-    print("You've experienced the power of Crawl4AI v0.7.5!")
-    print("")
-    print("Key Features Demonstrated:")
-    print("🔧 Docker Hooks - String-based & function-based (NEW!)")
-    print("   • hooks_to_string() utility for function conversion")
-    print("   • Docker client with automatic conversion")
-    print("   • Full IDE support and type checking")
-    print("🤖 Enhanced LLM - Better AI integration")
-    print("🔒 HTTPS Preservation - Secure link handling")
-    print("")
-    print("Ready to build something amazing? 🚀")
-    print("")
-    print("📖 Docs: https://docs.crawl4ai.com/")
-    print("🐙 GitHub: https://github.com/unclecode/crawl4ai")
-    print("=" * 60)
-
-
-if __name__ == "__main__":
-    print("🚀 Crawl4AI v0.7.5 Live Demo Starting...")
-    print("Press Ctrl+C anytime to exit\n")
-
-    try:
-        asyncio.run(main())
-    except KeyboardInterrupt:
-        print("\n👋 Demo stopped by user. Thanks for trying Crawl4AI v0.7.5!")
-    except Exception as e:
-        print(f"\n❌ Demo error: {str(e)}")
-        print("Make sure you have the required dependencies installed.")

docs/releases_review/v0.7.5_docker_hooks_demo.py

@@ -1,655 +0,0 @@
-#!/usr/bin/env python3
-"""
-🚀 Crawl4AI v0.7.5 - Docker Hooks System Complete Demonstration
-================================================================
-
-This file demonstrates the NEW Docker Hooks System introduced in v0.7.5.
-
-The Docker Hooks System is a completely NEW feature that provides pipeline
-customization through user-provided Python functions. It offers three approaches:
-
-1. String-based hooks for REST API
-2. hooks_to_string() utility to convert functions
-3. Docker Client with automatic conversion (most convenient)
-
-All three approaches are part of this NEW v0.7.5 feature!
-
-Perfect for video recording and demonstration purposes.
-
-Requirements:
-- Docker container running: docker run -p 11235:11235 unclecode/crawl4ai:latest
-- crawl4ai v0.7.5 installed: pip install crawl4ai==0.7.5
-"""
-
-import asyncio
-import requests
-import json
-import time
-from typing import Dict, Any
-
-# Import Crawl4AI components
-from crawl4ai import hooks_to_string
-from crawl4ai.docker_client import Crawl4aiDockerClient
-
-# Configuration
-DOCKER_URL = "http://localhost:11235"
-# DOCKER_URL = "http://localhost:11234"
-TEST_URLS = [
-    # "https://httpbin.org/html",
-    "https://www.kidocode.com",
-    "https://quotes.toscrape.com",
-]
-
-
-def print_section(title: str, description: str = ""):
-    """Print a formatted section header"""
-    print("\n" + "=" * 70)
-    print(f"  {title}")
-    if description:
-        print(f"  {description}")
-    print("=" * 70 + "\n")
-
-
-def check_docker_service() -> bool:
-    """Check if Docker service is running"""
-    try:
-        response = requests.get(f"{DOCKER_URL}/health", timeout=3)
-        return response.status_code == 200
-    except:
-        return False
-
-
-# ============================================================================
-# REUSABLE HOOK LIBRARY (NEW in v0.7.5)
-# ============================================================================
-
-async def performance_optimization_hook(page, context, **kwargs):
-    """
-    Performance Hook: Block unnecessary resources to speed up crawling
-    """
-    print("  [Hook] 🚀 Optimizing performance - blocking images and ads...")
-
-    # Block images
-    await context.route(
-        "**/*.{png,jpg,jpeg,gif,webp,svg,ico}",
-        lambda route: route.abort()
-    )
-
-    # Block ads and analytics
-    await context.route("**/analytics/*", lambda route: route.abort())
-    await context.route("**/ads/*", lambda route: route.abort())
-    await context.route("**/google-analytics.com/*", lambda route: route.abort())
-
-    print("  [Hook] ✓ Performance optimization applied")
-    return page
-
-
-async def viewport_setup_hook(page, context, **kwargs):
-    """
-    Viewport Hook: Set consistent viewport size for rendering
-    """
-    print("  [Hook] 🖥️  Setting viewport to 1920x1080...")
-    await page.set_viewport_size({"width": 1920, "height": 1080})
-    print("  [Hook] ✓ Viewport configured")
-    return page
-
-
-async def authentication_headers_hook(page, context, url, **kwargs):
-    """
-    Headers Hook: Add custom authentication and tracking headers
-    """
-    print(f"  [Hook] 🔐 Adding custom headers for {url[:50]}...")
-
-    await page.set_extra_http_headers({
-        'X-Crawl4AI-Version': '0.7.5',
-        'X-Custom-Hook': 'function-based-demo',
-        'Accept-Language': 'en-US,en;q=0.9',
-        'User-Agent': 'Crawl4AI/0.7.5 (Educational Demo)'
-    })
-
-    print("  [Hook] ✓ Custom headers added")
-    return page
-
-
-async def lazy_loading_handler_hook(page, context, **kwargs):
-    """
-    Content Hook: Handle lazy-loaded content by scrolling
-    """
-    print("  [Hook] 📜 Scrolling to load lazy content...")
-
-    # Scroll to bottom
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(1000)
-
-    # Scroll to middle
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2)")
-    await page.wait_for_timeout(500)
-
-    # Scroll back to top
-    await page.evaluate("window.scrollTo(0, 0)")
-    await page.wait_for_timeout(500)
-
-    print("  [Hook] ✓ Lazy content loaded")
-    return page
-
-
-async def page_analytics_hook(page, context, **kwargs):
-    """
-    Analytics Hook: Log page metrics before extraction
-    """
-    print("  [Hook] 📊 Collecting page analytics...")
-
-    metrics = await page.evaluate('''
-        () => ({
-            title: document.title,
-            images: document.images.length,
-            links: document.links.length,
-            scripts: document.scripts.length,
-            headings: document.querySelectorAll('h1, h2, h3').length,
-            paragraphs: document.querySelectorAll('p').length
-        })
-    ''')
-
-    print(f"  [Hook] 📈 Page: {metrics['title'][:50]}...")
-    print(f"         Links: {metrics['links']}, Images: {metrics['images']}, "
-          f"Headings: {metrics['headings']}, Paragraphs: {metrics['paragraphs']}")
-
-    return page
-
-
-# ============================================================================
-# DEMO 1: String-Based Hooks (NEW Docker Hooks System)
-# ============================================================================
-
-def demo_1_string_based_hooks():
-    """
-    Demonstrate string-based hooks with REST API (part of NEW Docker Hooks System)
-    """
-    print_section(
-        "DEMO 1: String-Based Hooks (REST API)",
-        "Part of the NEW Docker Hooks System - hooks as strings"
-    )
-
-    # Define hooks as strings
-    hooks_config = {
-        "on_page_context_created": """
-async def hook(page, context, **kwargs):
-    print("  [String Hook] Setting up page context...")
-    # Block images for performance
-    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
-    await page.set_viewport_size({"width": 1920, "height": 1080})
-    return page
-""",
-
-        "before_goto": """
-async def hook(page, context, url, **kwargs):
-    print(f"  [String Hook] Navigating to {url[:50]}...")
-    await page.set_extra_http_headers({
-        'X-Crawl4AI': 'string-based-hooks',
-        'X-Demo': 'v0.7.5'
-    })
-    return page
-""",
-
-        "before_retrieve_html": """
-async def hook(page, context, **kwargs):
-    print("  [String Hook] Scrolling page...")
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(1000)
-    return page
-"""
-    }
-
-    # Prepare request payload
-    payload = {
-        "urls": [TEST_URLS[0]],
-        "hooks": {
-            "code": hooks_config,
-            "timeout": 30
-        },
-        "crawler_config": {
-            "cache_mode": "bypass"
-        }
-    }
-
-    print(f"🎯 Target URL: {TEST_URLS[0]}")
-    print(f"🔧 Configured {len(hooks_config)} string-based hooks")
-    print(f"📡 Sending request to Docker API...\n")
-
-    try:
-        start_time = time.time()
-        response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
-        execution_time = time.time() - start_time
-
-        if response.status_code == 200:
-            result = response.json()
-
-            print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
-
-            # Display results
-            if result.get('results') and result['results'][0].get('success'):
-                crawl_result = result['results'][0]
-                html_length = len(crawl_result.get('html', ''))
-                markdown_length = len(crawl_result.get('markdown', ''))
-
-                print(f"\n📊 Results:")
-                print(f"   • HTML length: {html_length:,} characters")
-                print(f"   • Markdown length: {markdown_length:,} characters")
-                print(f"   • URL: {crawl_result.get('url')}")
-
-                # Check hooks execution
-                if 'hooks' in result:
-                    hooks_info = result['hooks']
-                    print(f"\n🎣 Hooks Execution:")
-                    print(f"   • Status: {hooks_info['status']['status']}")
-                    print(f"   • Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
-
-                    if 'summary' in hooks_info:
-                        summary = hooks_info['summary']
-                        print(f"   • Total executions: {summary['total_executions']}")
-                        print(f"   • Successful: {summary['successful']}")
-                        print(f"   • Success rate: {summary['success_rate']:.1f}%")
-            else:
-                print(f"⚠️ Crawl completed but no results")
-
-        else:
-            print(f"❌ Request failed with status {response.status_code}")
-            print(f"   Error: {response.text[:200]}")
-
-    except requests.exceptions.Timeout:
-        print("⏰ Request timed out after 60 seconds")
-    except Exception as e:
-        print(f"❌ Error: {str(e)}")
-
-    print("\n" + "─" * 70)
-    print("✓ String-based hooks demo complete\n")
-
-
-# ============================================================================
-# DEMO 2: Function-Based Hooks with hooks_to_string() Utility
-# ============================================================================
-
-def demo_2_hooks_to_string_utility():
-    """
-    Demonstrate the new hooks_to_string() utility for converting functions
-    """
-    print_section(
-        "DEMO 2: hooks_to_string() Utility (NEW! ✨)",
-        "Convert Python functions to strings for REST API"
-    )
-
-    print("📦 Creating hook functions...")
-    print("   • performance_optimization_hook")
-    print("   • viewport_setup_hook")
-    print("   • authentication_headers_hook")
-    print("   • lazy_loading_handler_hook")
-
-    # Convert function objects to strings using the NEW utility
-    print("\n🔄 Converting functions to strings with hooks_to_string()...")
-
-    hooks_dict = {
-        "on_page_context_created": performance_optimization_hook,
-        "before_goto": authentication_headers_hook,
-        "before_retrieve_html": lazy_loading_handler_hook,
-    }
-
-    hooks_as_strings = hooks_to_string(hooks_dict)
-
-    print(f"✅ Successfully converted {len(hooks_as_strings)} functions to strings")
-
-    # Show a preview
-    print("\n📝 Sample converted hook (first 250 characters):")
-    print("─" * 70)
-    sample_hook = list(hooks_as_strings.values())[0]
-    print(sample_hook[:250] + "...")
-    print("─" * 70)
-
-    # Use the converted hooks with REST API
-    print("\n📡 Using converted hooks with REST API...")
-
-    payload = {
-        "urls": [TEST_URLS[0]],
-        "hooks": {
-            "code": hooks_as_strings,
-            "timeout": 30
-        }
-    }
-
-    try:
-        start_time = time.time()
-        response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
-        execution_time = time.time() - start_time
-
-        if response.status_code == 200:
-            result = response.json()
-            print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
-
-            if result.get('results') and result['results'][0].get('success'):
-                crawl_result = result['results'][0]
-                print(f"   • HTML length: {len(crawl_result.get('html', '')):,} characters")
-                print(f"   • Hooks executed successfully!")
-        else:
-            print(f"❌ Request failed: {response.status_code}")
-
-    except Exception as e:
-        print(f"❌ Error: {str(e)}")
-
-    print("\n💡 Benefits of hooks_to_string():")
-    print("   ✓ Write hooks as regular Python functions")
-    print("   ✓ Full IDE support (autocomplete, syntax highlighting)")
-    print("   ✓ Type checking and linting")
-    print("   ✓ Easy to test and debug")
-    print("   ✓ Reusable across projects")
-    print("   ✓ Works with any REST API client")
-
-    print("\n" + "─" * 70)
-    print("✓ hooks_to_string() utility demo complete\n")
-
-
-# ============================================================================
-# DEMO 3: Docker Client with Automatic Conversion (RECOMMENDED! 🌟)
-# ============================================================================
-
-async def demo_3_docker_client_auto_conversion():
-    """
-    Demonstrate Docker Client with automatic hook conversion (RECOMMENDED)
-    """
-    print_section(
-        "DEMO 3: Docker Client with Auto-Conversion (RECOMMENDED! 🌟)",
-        "Pass function objects directly - conversion happens automatically!"
-    )
-
-    print("🐳 Initializing Crawl4AI Docker Client...")
-    client = Crawl4aiDockerClient(base_url=DOCKER_URL)
-
-    print("✅ Client ready!\n")
-
-    # Use our reusable hook library - just pass the function objects!
-    print("📚 Using reusable hook library:")
-    print("   • performance_optimization_hook")
-    print("   • viewport_setup_hook")
-    print("   • authentication_headers_hook")
-    print("   • lazy_loading_handler_hook")
-    print("   • page_analytics_hook")
-
-    print("\n🎯 Target URL: " + TEST_URLS[1])
-    print("🚀 Starting crawl with automatic hook conversion...\n")
-
-    try:
-        start_time = time.time()
-
-        # Pass function objects directly - NO manual conversion needed! ✨
-        results = await client.crawl(
-            urls=[TEST_URLS[0]],
-            hooks={
-                "on_page_context_created": performance_optimization_hook,
-                "before_goto": authentication_headers_hook,
-                "before_retrieve_html": lazy_loading_handler_hook,
-                "before_return_html": page_analytics_hook,
-            },
-            hooks_timeout=30
-        )
-
-        execution_time = time.time() - start_time
-
-        print(f"\n✅ Crawl completed! (took {execution_time:.2f}s)\n")
-
-        # Display results
-        if results and results.success:
-            result = results
-            print(f"📊 Results:")
-            print(f"   • URL: {result.url}")
-            print(f"   • Success: {result.success}")
-            print(f"   • HTML length: {len(result.html):,} characters")
-            print(f"   • Markdown length: {len(result.markdown):,} characters")
-
-            # Show metadata
-            if result.metadata:
-                print(f"\n📋 Metadata:")
-                print(f"   • Title: {result.metadata.get('title', 'N/A')}")
-                print(f"   • Description: {result.metadata.get('description', 'N/A')}")
-
-            # Show links
-            if result.links:
-                internal_count = len(result.links.get('internal', []))
-                external_count = len(result.links.get('external', []))
-                print(f"\n🔗 Links Found:")
-                print(f"   • Internal: {internal_count}")
-                print(f"   • External: {external_count}")
-        else:
-            print(f"⚠️ Crawl completed but no successful results")
-            if results:
-                print(f"   Error: {results.error_message}")
-
-    except Exception as e:
-        print(f"❌ Error: {str(e)}")
-        import traceback
-        traceback.print_exc()
-
-    print("\n🌟 Why Docker Client is RECOMMENDED:")
-    print("   ✓ Automatic function-to-string conversion")
-    print("   ✓ No manual hooks_to_string() calls needed")
-    print("   ✓ Cleaner, more Pythonic code")
-    print("   ✓ Full type hints and IDE support")
-    print("   ✓ Built-in error handling")
-    print("   ✓ Async/await support")
-
-    print("\n" + "─" * 70)
-    print("✓ Docker Client auto-conversion demo complete\n")
-
-
-# ============================================================================
-# DEMO 4: Advanced Use Case - Complete Hook Pipeline
-# ============================================================================
-
-async def demo_4_complete_hook_pipeline():
-    """
-    Demonstrate a complete hook pipeline using all 8 hook points
-    """
-    print_section(
-        "DEMO 4: Complete Hook Pipeline",
-        "Using all 8 available hook points for comprehensive control"
-    )
-
-    # Define all 8 hooks
-    async def on_browser_created_hook(browser, **kwargs):
-        """Hook 1: Called after browser is created"""
-        print("  [Pipeline] 1/8 Browser created")
-        return browser
-
-    async def on_page_context_created_hook(page, context, **kwargs):
-        """Hook 2: Called after page context is created"""
-        print("  [Pipeline] 2/8 Page context created - setting up...")
-        await page.set_viewport_size({"width": 1920, "height": 1080})
-        return page
-
-    async def on_user_agent_updated_hook(page, context, user_agent, **kwargs):
-        """Hook 3: Called when user agent is updated"""
-        print(f"  [Pipeline] 3/8 User agent updated: {user_agent[:50]}...")
-        return page
-
-    async def before_goto_hook(page, context, url, **kwargs):
-        """Hook 4: Called before navigating to URL"""
-        print(f"  [Pipeline] 4/8 Before navigation to: {url[:60]}...")
-        return page
-
-    async def after_goto_hook(page, context, url, response, **kwargs):
-        """Hook 5: Called after navigation completes"""
-        print(f"  [Pipeline] 5/8 After navigation - Status: {response.status if response else 'N/A'}")
-        await page.wait_for_timeout(1000)
-        return page
-
-    async def on_execution_started_hook(page, context, **kwargs):
-        """Hook 6: Called when JavaScript execution starts"""
-        print("  [Pipeline] 6/8 JavaScript execution started")
-        return page
-
-    async def before_retrieve_html_hook(page, context, **kwargs):
-        """Hook 7: Called before retrieving HTML"""
-        print("  [Pipeline] 7/8 Before HTML retrieval - scrolling...")
-        await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-        return page
-
-    async def before_return_html_hook(page, context, html, **kwargs):
-        """Hook 8: Called before returning HTML"""
-        print(f"  [Pipeline] 8/8 Before return - HTML length: {len(html):,} chars")
-        return page
-
-    print("🎯 Target URL: " + TEST_URLS[0])
-    print("🔧 Configured ALL 8 hook points for complete pipeline control\n")
-
-    client = Crawl4aiDockerClient(base_url=DOCKER_URL)
-
-    try:
-        print("🚀 Starting complete pipeline crawl...\n")
-        start_time = time.time()
-
-        results = await client.crawl(
-            urls=[TEST_URLS[0]],
-            hooks={
-                "on_browser_created": on_browser_created_hook,
-                "on_page_context_created": on_page_context_created_hook,
-                "on_user_agent_updated": on_user_agent_updated_hook,
-                "before_goto": before_goto_hook,
-                "after_goto": after_goto_hook,
-                "on_execution_started": on_execution_started_hook,
-                "before_retrieve_html": before_retrieve_html_hook,
-                "before_return_html": before_return_html_hook,
-            },
-            hooks_timeout=45
-        )
-
-        execution_time = time.time() - start_time
-
-        if results and results.success:
-            print(f"\n✅ Complete pipeline executed successfully! (took {execution_time:.2f}s)")
-            print(f"   • All 8 hooks executed in sequence")
-            print(f"   • HTML length: {len(results.html):,} characters")
-        else:
-            print(f"⚠️ Pipeline completed with warnings")
-
-    except Exception as e:
-        print(f"❌ Error: {str(e)}")
-
-    print("\n📚 Available Hook Points:")
-    print("   1. on_browser_created - Browser initialization")
-    print("   2. on_page_context_created - Page context setup")
-    print("   3. on_user_agent_updated - User agent configuration")
-    print("   4. before_goto - Pre-navigation setup")
-    print("   5. after_goto - Post-navigation processing")
-    print("   6. on_execution_started - JavaScript execution start")
-    print("   7. before_retrieve_html - Pre-extraction processing")
-    print("   8. before_return_html - Final HTML processing")
-
-    print("\n" + "─" * 70)
-    print("✓ Complete hook pipeline demo complete\n")
-
-
-# ============================================================================
-# MAIN EXECUTION
-# ============================================================================
-
-async def main():
-    """
-    Run all demonstrations
-    """
-    print("\n" + "=" * 70)
-    print("  🚀 Crawl4AI v0.7.5 - Docker Hooks Complete Demonstration")
-    print("=" * 70)
-
-    # Check Docker service
-    print("\n🔍 Checking Docker service status...")
-    if not check_docker_service():
-        print("❌ Docker service is not running!")
-        print("\n📋 To start the Docker service:")
-        print("   docker run -p 11235:11235 unclecode/crawl4ai:latest")
-        print("\nPlease start the service and run this demo again.")
-        return
-
-    print("✅ Docker service is running!\n")
-
-    # Run all demos
-    demos = [
-        ("String-Based Hooks (REST API)", demo_1_string_based_hooks, False),
-        ("hooks_to_string() Utility", demo_2_hooks_to_string_utility, False),
-        ("Docker Client Auto-Conversion", demo_3_docker_client_auto_conversion, True),
-        # ("Complete Hook Pipeline", demo_4_complete_hook_pipeline, True),
-    ]
-
-    for i, (name, demo_func, is_async) in enumerate(demos, 1):
-        print(f"\n{'🔷' * 35}")
-        print(f"Starting Demo {i}/{len(demos)}: {name}")
-        print(f"{'🔷' * 35}\n")
-
-        try:
-            if is_async:
-                await demo_func()
-            else:
-                demo_func()
-
-            print(f"✅ Demo {i} completed successfully!")
-
-            # Pause between demos (except the last one)
-            if i < len(demos):
-                print("\n⏸️  Press Enter to continue to next demo...")
-                # input()
-
-        except KeyboardInterrupt:
-            print(f"\n⏹️  Demo interrupted by user")
-            break
-        except Exception as e:
-            print(f"\n❌ Demo {i} failed: {str(e)}")
-            import traceback
-            traceback.print_exc()
-            print("\nContinuing to next demo...\n")
-            continue
-
-    # Final summary
-    print("\n" + "=" * 70)
-    print("  🎉 All Demonstrations Complete!")
-    print("=" * 70)
-
-    print("\n📊 Summary of v0.7.5 Docker Hooks System:")
-    print("\n🆕 COMPLETELY NEW FEATURE in v0.7.5:")
-    print("   The Docker Hooks System lets you customize the crawling pipeline")
-    print("   with user-provided Python functions at 8 strategic points.")
-
-    print("\n✨ Three Ways to Use Docker Hooks (All NEW!):")
-    print("   1. String-based - Write hooks as strings for REST API")
-    print("   2. hooks_to_string() - Convert Python functions to strings")
-    print("   3. Docker Client - Automatic conversion (RECOMMENDED)")
-
-    print("\n💡 Key Benefits:")
-    print("   ✓ Full IDE support (autocomplete, syntax highlighting)")
-    print("   ✓ Type checking and linting")
-    print("   ✓ Easy to test and debug")
-    print("   ✓ Reusable across projects")
-    print("   ✓ Complete pipeline control")
-
-    print("\n🎯 8 Hook Points Available:")
-    print("   • on_browser_created, on_page_context_created")
-    print("   • on_user_agent_updated, before_goto, after_goto")
-    print("   • on_execution_started, before_retrieve_html, before_return_html")
-
-    print("\n📚 Resources:")
-    print("   • Docs: https://docs.crawl4ai.com")
-    print("   • GitHub: https://github.com/unclecode/crawl4ai")
-    print("   • Discord: https://discord.gg/jP8KfhDhyN")
-
-    print("\n" + "=" * 70)
-    print("  Happy Crawling with v0.7.5! 🕷️")
-    print("=" * 70 + "\n")
-
-
-if __name__ == "__main__":
-    print("\n🎬 Starting Crawl4AI v0.7.5 Docker Hooks Demonstration...")
-    print("Press Ctrl+C anytime to exit\n")
-
-    try:
-        asyncio.run(main())
-    except KeyboardInterrupt:
-        print("\n\n👋 Demo stopped by user. Thanks for exploring Crawl4AI v0.7.5!")
-    except Exception as e:
-        print(f"\n\n❌ Demo error: {str(e)}")
-        import traceback
-        traceback.print_exc()

mkdocs.yml

@@ -7,7 +7,6 @@ docs_dir: docs/md_v2
 
 nav:
   - Home: 'index.md'
-  - "📚 Complete SDK Reference": "complete-sdk-reference.md"
   - "Ask AI": "core/ask-ai.md"
   - "Quick Start": "core/quickstart.md"
   - "Code Examples": "core/examples.md"
@@ -19,7 +18,7 @@ nav:
     - "Marketplace Admin": "marketplace/admin/index.html"
   - Setup & Installation:
     - "Installation": "core/installation.md"
-    - "Docker Deployment": "core/docker-deployment.md"
+    - "Self-Hosting Guide": "core/self-hosting.md"
   - "Blog & Changelog":
     - "Blog Home": "blog/index.md"
     - "Changelog": "https://github.com/unclecode/crawl4ai/blob/main/CHANGELOG.md"

tests/docker/test_hooks_utility.py

@@ -1,193 +0,0 @@
-"""
-Test script demonstrating the hooks_to_string utility and Docker client integration.
-"""
-import asyncio
-from crawl4ai import Crawl4aiDockerClient, hooks_to_string
-
-
-# Define hook functions as regular Python functions
-async def auth_hook(page, context, **kwargs):
-    """Add authentication cookies."""
-    await context.add_cookies([{
-        'name': 'test_cookie',
-        'value': 'test_value',
-        'domain': '.httpbin.org',
-        'path': '/'
-    }])
-    return page
-
-
-async def scroll_hook(page, context, **kwargs):
-    """Scroll to load lazy content."""
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-    await page.wait_for_timeout(1000)
-    return page
-
-
-async def viewport_hook(page, context, **kwargs):
-    """Set custom viewport."""
-    await page.set_viewport_size({"width": 1920, "height": 1080})
-    return page
-
-
-async def test_hooks_utility():
-    """Test the hooks_to_string utility function."""
-    print("=" * 60)
-    print("Testing hooks_to_string utility")
-    print("=" * 60)
-
-    # Create hooks dictionary with function objects
-    hooks_dict = {
-        "on_page_context_created": auth_hook,
-        "before_retrieve_html": scroll_hook
-    }
-
-    # Convert to string format
-    hooks_string = hooks_to_string(hooks_dict)
-
-    print("\n✓ Successfully converted function objects to strings")
-    print(f"\n✓ Converted {len(hooks_string)} hooks:")
-    for hook_name in hooks_string.keys():
-        print(f"  - {hook_name}")
-
-    print("\n✓ Preview of converted hook:")
-    print("-" * 60)
-    print(hooks_string["on_page_context_created"][:200] + "...")
-    print("-" * 60)
-
-    return hooks_string
-
-
-async def test_docker_client_with_functions():
-    """Test Docker client with function objects (automatic conversion)."""
-    print("\n" + "=" * 60)
-    print("Testing Docker Client with Function Objects")
-    print("=" * 60)
-
-    # Note: This requires a running Crawl4AI Docker server
-    # Uncomment the following to test with actual server:
-
-    async with Crawl4aiDockerClient(base_url="http://localhost:11234", verbose=True) as client:
-        # Pass function objects directly - they'll be converted automatically
-        result = await client.crawl(
-            ["https://httpbin.org/html"],
-            hooks={
-                "on_page_context_created": auth_hook,
-                "before_retrieve_html": scroll_hook
-            },
-            hooks_timeout=30
-        )
-        print(f"\n✓ Crawl successful: {result.success}")
-        print(f"✓ URL: {result.url}")
-
-    print("\n✓ Docker client accepts function objects directly")
-    print("✓ Automatic conversion happens internally")
-    print("✓ No manual string formatting needed!")
-
-
-async def test_docker_client_with_strings():
-    """Test Docker client with pre-converted strings."""
-    print("\n" + "=" * 60)
-    print("Testing Docker Client with String Hooks")
-    print("=" * 60)
-
-    # Convert hooks to strings first
-    hooks_dict = {
-        "on_page_context_created": viewport_hook,
-        "before_retrieve_html": scroll_hook
-    }
-    hooks_string = hooks_to_string(hooks_dict)
-
-    # Note: This requires a running Crawl4AI Docker server
-    # Uncomment the following to test with actual server:
-
-    async with Crawl4aiDockerClient(base_url="http://localhost:11234", verbose=True) as client:
-        # Pass string hooks - they'll be used as-is
-        result = await client.crawl(
-            ["https://httpbin.org/html"],
-            hooks=hooks_string,
-            hooks_timeout=30
-        )
-        print(f"\n✓ Crawl successful: {result.success}")
-
-    print("\n✓ Docker client also accepts pre-converted strings")
-    print("✓ Backward compatible with existing code")
-
-
-async def show_usage_patterns():
-    """Show different usage patterns."""
-    print("\n" + "=" * 60)
-    print("Usage Patterns")
-    print("=" * 60)
-
-    print("\n1. Direct function usage (simplest):")
-    print("-" * 60)
-    print("""
-    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}
-    )
-    """)
-
-    print("\n2. Convert then use:")
-    print("-" * 60)
-    print("""
-    hooks_dict = {"on_page_context_created": my_hook}
-    hooks_string = hooks_to_string(hooks_dict)
-
-    result = await client.crawl(
-        ["https://example.com"],
-        hooks=hooks_string
-    )
-    """)
-
-    print("\n3. Manual string (backward compatible):")
-    print("-" * 60)
-    print("""
-    hooks_string = {
-        "on_page_context_created": '''
-async def hook(page, context, **kwargs):
-    await page.set_viewport_size({"width": 1920, "height": 1080})
-    return page
-'''
-    }
-
-    result = await client.crawl(
-        ["https://example.com"],
-        hooks=hooks_string
-    )
-    """)
-
-
-async def main():
-    """Run all tests."""
-    print("\n🚀 Crawl4AI Hooks Utility Test Suite\n")
-
-    # Test the utility function
-    # await test_hooks_utility()
-
-    # Show usage with Docker client
-    # await test_docker_client_with_functions()
-    await test_docker_client_with_strings()
-
-    # Show different patterns
-    # await show_usage_patterns()
-
-    # print("\n" + "=" * 60)
-    # print("✓ All tests completed successfully!")
-    # print("=" * 60)
-    # print("\nKey Benefits:")
-    # print("  • Write hooks as regular Python functions")
-    # print("  • IDE support with autocomplete and type checking")
-    # print("  • Automatic conversion to API format")
-    # print("  • Backward compatible with string hooks")
-    # print("  • Same utility used everywhere")
-    # print("\n")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())