Refactor Pydantic model configuration to use ConfigDict for arbitrary types

The remove_empty_elements_fast() method was removing whitespace-only
  span elements inside <pre> and <code> tags, causing import statements
  like "import torch" to become "importtorch". Now skips elements inside
  code blocks where whitespace is significant.

.githooks/pre-commit

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

.gitignore

@@ -185,8 +185,7 @@ Crawl4AI.egg-info/
 requirements0.txt
 a.txt
 
-# Ignore shell scripts globally, but allow test scripts
-# *.sh
+*.sh
 .idea
 docs/examples/.chainlit/
 docs/examples/.chainlit/*
@@ -272,6 +271,8 @@ continue_config.json
 CLAUDE_MONITOR.md
 CLAUDE.md
 
+.claude/
+
 tests/**/test_site
 tests/**/reports
 tests/**/benchmark_reports
@@ -294,4 +295,3 @@ scripts/
 *.db
 *.rdb
 *.ldb
-.context/

Dockerfile

@@ -1,7 +1,7 @@
 FROM python:3.12-slim-bookworm AS build
 
 # C4ai version
-ARG C4AI_VER=0.7.6
+ARG C4AI_VER=0.7.7
 ENV C4AI_VERSION=$C4AI_VER
 LABEL c4ai.version=$C4AI_VER
 

README.md

@@ -27,13 +27,13 @@
 
 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 v0.7.6](#-recent-updates)
+[✨ Check out latest update v0.7.7](#-recent-updates)
 
-✨ **New in v0.7.6**: Complete Webhook Infrastructure for Docker Job Queue API! Real-time notifications for both `/crawl/job` and `/llm/job` endpoints with exponential backoff retry, custom headers, and flexible delivery modes. No more polling! [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.6.md)
+✨ **New in v0.7.7**: Complete Self-Hosting Platform with Real-time Monitoring! Enterprise-grade monitoring dashboard, comprehensive REST API, WebSocket streaming, smart browser pool management, and production-ready observability. Full visibility and control over your crawling infrastructure. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.7.md)
 
-✨ Recent v0.7.5: Docker Hooks System with function-based API for pipeline customization, Enhanced LLM Integration with custom providers, HTTPS Preservation, and multiple community-reported bug fixes. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)
+✨ Recent v0.7.6: Complete Webhook Infrastructure for Docker Job Queue API! Real-time notifications for both `/crawl/job` and `/llm/job` endpoints with exponential backoff retry, custom headers, and flexible delivery modes. No more polling! [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.6.md)
 
-✨ Previous v0.7.4: Revolutionary LLM Table Extraction with intelligent chunking, enhanced concurrency fixes, memory management refactor, and critical stability improvements. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.4.md)
+✨ Previous 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)
 
 <details>
   <summary>🤓 <strong>My Personal Story</strong></summary>
@@ -296,6 +296,7 @@ pip install -e ".[all]"             # Install all optional features
 ### New Docker Features
 
 The new Docker implementation includes:
+- **Real-time Monitoring Dashboard** with live system metrics and browser pool visibility
 - **Browser pooling** with page pre-warming for faster response times
 - **Interactive playground** to test and generate request code
 - **MCP integration** for direct connection to AI tools like Claude Code
@@ -310,7 +311,8 @@ The new Docker implementation includes:
 docker pull unclecode/crawl4ai:latest
 docker run -d -p 11235:11235 --name crawl4ai --shm-size=1g unclecode/crawl4ai:latest
 
-# Visit the playground at http://localhost:11235/playground
+# Visit the monitoring dashboard at http://localhost:11235/dashboard
+# Or the playground at http://localhost:11235/playground
 ```
 
 ### Quick Test
@@ -339,7 +341,7 @@ else:
     result = requests.get(f"http://localhost:11235/task/{task_id}")
 ```
 
-For more examples, see our [Docker Examples](https://github.com/unclecode/crawl4ai/blob/main/docs/examples/docker_example.py). For advanced configuration, environment variables, and usage examples, see our [Docker Deployment Guide](https://docs.crawl4ai.com/basic/docker-deployment/).
+For more examples, see our [Docker Examples](https://github.com/unclecode/crawl4ai/blob/main/docs/examples/docker_example.py). For advanced configuration, monitoring features, and production deployment, see our [Self-Hosting Guide](https://docs.crawl4ai.com/core/self-hosting/).
 
 </details>
 
@@ -544,8 +546,63 @@ async def test_news_crawl():
 
 </details>
 
+---
+
+> **💡 Tip:** Some websites may use **CAPTCHA** based verification mechanisms to prevent automated access. If your workflow encounters such challenges, you may optionally integrate a third-party CAPTCHA-handling service such as <strong>[CapSolver](https://www.capsolver.com/blog/Partners/crawl4ai-capsolver/?utm_source=crawl4ai&utm_medium=github_pr&utm_campaign=crawl4ai_integration)</strong>. They support reCAPTCHA v2/v3, Cloudflare Turnstile, Challenge, AWS WAF, and more. Please ensure that your usage complies with the target website’s terms of service and applicable laws.
+
 ## ✨ Recent Updates
 
+<details>
+<summary><strong>Version 0.7.7 Release Highlights - The Self-Hosting & Monitoring Update</strong></summary>
+
+- **📊 Real-time Monitoring Dashboard**: Interactive web UI with live system metrics and browser pool visibility
+  ```python
+  # Access the monitoring dashboard
+  # Visit: http://localhost:11235/dashboard
+
+  # Real-time metrics include:
+  # - System health (CPU, memory, network, uptime)
+  # - Active and completed request tracking
+  # - Browser pool management (permanent/hot/cold)
+  # - Janitor cleanup events
+  # - Error monitoring with full context
+  ```
+
+- **🔌 Comprehensive Monitor API**: Complete REST API for programmatic access to all monitoring data
+  ```python
+  import httpx
+
+  async with httpx.AsyncClient() as client:
+      # System health
+      health = await client.get("http://localhost:11235/monitor/health")
+
+      # Request tracking
+      requests = await client.get("http://localhost:11235/monitor/requests")
+
+      # Browser pool status
+      browsers = await client.get("http://localhost:11235/monitor/browsers")
+
+      # Endpoint statistics
+      stats = await client.get("http://localhost:11235/monitor/endpoints/stats")
+  ```
+
+- **⚡ WebSocket Streaming**: Real-time updates every 2 seconds for custom dashboards
+- **🔥 Smart Browser Pool**: 3-tier architecture (permanent/hot/cold) with automatic promotion and cleanup
+- **🧹 Janitor System**: Automatic resource management with event logging
+- **🎮 Control Actions**: Manual browser management (kill, restart, cleanup) via API
+- **📈 Production Metrics**: 6 critical metrics for operational excellence with Prometheus integration
+- **🐛 Critical Bug Fixes**:
+  - Fixed async LLM extraction blocking issue (#1055)
+  - Enhanced DFS deep crawl strategy (#1607)
+  - Fixed sitemap parsing in AsyncUrlSeeder (#1598)
+  - Resolved browser viewport configuration (#1495)
+  - Fixed CDP timing with exponential backoff (#1528)
+  - Security update for pyOpenSSL (>=25.3.0)
+
+[Full v0.7.7 Release Notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.7.md)
+
+</details>
+
 <details>
 <summary><strong>Version 0.7.5 Release Highlights - The Docker Hooks & Security Update</strong></summary>
 
@@ -977,11 +1034,14 @@ Our enterprise sponsors and technology partners help scale Crawl4AI to power pro
 
 | Company | About | Sponsorship Tier |
 |------|------|----------------------------|
-| <a href="https://dashboard.capsolver.com/passport/register?inviteCode=ESVSECTX5Q23" target="_blank"><picture><source width="120" media="(prefers-color-scheme: dark)" srcset="https://docs.crawl4ai.com/uploads/sponsors/20251013045338_72a71fa4ee4d2f40.png"><source width="120" media="(prefers-color-scheme: light)" srcset="https://www.capsolver.com/assets/images/logo-text.png"><img alt="Capsolver" src="https://www.capsolver.com/assets/images/logo-text.png"></picture></a> | AI-powered Captcha solving service. Supports all major Captcha types, including reCAPTCHA, Cloudflare, and more | 🥈 Silver |
+| <a href="https://app.scrapeless.com/passport/register?utm_source=official&utm_term=crawl4ai" target="_blank"><picture><source width="250" media="(prefers-color-scheme: dark)" srcset="https://gist.githubusercontent.com/aravindkarnam/0d275b942705604263e5c32d2db27bc1/raw/Scrapeless-light-logo.svg"><source width="250" media="(prefers-color-scheme: light)" srcset="https://gist.githubusercontent.com/aravindkarnam/22d0525cc0f3021bf19ebf6e11a69ccd/raw/Scrapeless-dark-logo.svg"><img alt="Scrapeless" src="https://gist.githubusercontent.com/aravindkarnam/22d0525cc0f3021bf19ebf6e11a69ccd/raw/Scrapeless-dark-logo.svg"></picture></a>  | Scrapeless is the best full-stack web scraping toolkit offering Scraping API, Scraping Browser, Web Unlocker, Captcha Solver, and Proxies, designed to handle all your data collection needs. | 🥈 Silver |
+| <a href="https://dashboard.capsolver.com/passport/register?inviteCode=ESVSECTX5Q23" target="_blank"><picture><source width="120" media="(prefers-color-scheme: dark)" srcset="https://docs.crawl4ai.com/uploads/sponsors/20251013045338_72a71fa4ee4d2f40.png"><source width="120" media="(prefers-color-scheme: light)" srcset="https://www.capsolver.com/assets/images/logo-text.png"><img alt="Capsolver" src="https://www.capsolver.com/assets/images/logo-text.png"></picture></a> | AI-powered Captcha solving service. Supports all major Captcha types, including reCAPTCHA, Cloudflare, and more | 🥉 Bronze |
 | <a href="https://kipo.ai" target="_blank"><img src="https://docs.crawl4ai.com/uploads/sponsors/20251013045751_2d54f57f117c651e.png" alt="DataSync" width="120"/></a> | Helps engineers and buyers find, compare, and source electronic & industrial parts in seconds, with specs, pricing, lead times & alternatives.| 🥇 Gold |
 | <a href="https://www.kidocode.com/" target="_blank"><img src="https://docs.crawl4ai.com/uploads/sponsors/20251013045045_bb8dace3f0440d65.svg" alt="Kidocode" width="120"/><p align="center">KidoCode</p></a> | Kidocode is a hybrid technology and entrepreneurship school for kids aged 5–18, offering both online and on-campus education. | 🥇 Gold |
 | <a href="https://www.alephnull.sg/" target="_blank"><img src="https://docs.crawl4ai.com/uploads/sponsors/20251013050323_a9e8e8c4c3650421.svg" alt="Aleph null" width="120"/></a> | Singapore-based  Aleph Null is Asia’s leading edtech hub, dedicated to student-centric, AI-driven education—empowering learners with the tools to thrive in a fast-changing world. | 🥇 Gold |
 
+
+
 ### 🧑‍🤝 Individual Sponsors
 
 A heartfelt thanks to our individual supporters! Every contribution helps us keep our opensource mission alive and thriving!

crawl4ai/__version__.py

@@ -1,7 +1,7 @@
 # crawl4ai/__version__.py
 
 # This is the version that will be used for stable releases
-__version__ = "0.7.6"
+__version__ = "0.7.7"
 
 # For nightly builds, this gets set during build process
 __nightly_version__ = None

crawl4ai/async_configs.py

@@ -1,6 +1,7 @@
 import os
 from typing import Union
 import warnings
+import requests
 from .config import (
     DEFAULT_PROVIDER,
     DEFAULT_PROVIDER_API_KEY,
@@ -649,6 +650,85 @@ class BrowserConfig:
             return config
         return BrowserConfig.from_kwargs(config)
 
+    def set_nstproxy(
+        self,
+        token: str,
+        channel_id: str,
+        country: str = "ANY",
+        state: str = "",
+        city: str = "",
+        protocol: str = "http",
+        session_duration: int = 10,
+    ):
+        """
+        Fetch a proxy from NSTProxy API and automatically assign it to proxy_config.
+
+        Get your NSTProxy token from: https://app.nstproxy.com/profile
+
+        Args:
+            token (str): NSTProxy API token.
+            channel_id (str): NSTProxy channel ID.
+            country (str, optional): Country code (default: "ANY").
+            state (str, optional): State code (default: "").
+            city (str, optional): City name (default: "").
+            protocol (str, optional): Proxy protocol ("http" or "socks5"). Defaults to "http".
+            session_duration (int, optional): Session duration in minutes (0 = rotate each request). Defaults to 10.
+
+        Raises:
+            ValueError: If the API response format is invalid.
+            PermissionError: If the API returns an error message.
+        """
+
+        # --- Validate input early ---
+        if not token or not channel_id:
+            raise ValueError("[NSTProxy] token and channel_id are required")
+
+        if protocol not in ("http", "socks5"):
+            raise ValueError(f"[NSTProxy] Invalid protocol: {protocol}")
+
+        # --- Build NSTProxy API URL ---
+        params = {
+            "fType": 2,
+            "count": 1,
+            "channelId": channel_id,
+            "country": country,
+            "protocol": protocol,
+            "sessionDuration": session_duration,
+            "token": token,
+        }
+        if state:
+            params["state"] = state
+        if city:
+            params["city"] = city
+
+        url = "https://api.nstproxy.com/api/v1/generate/apiproxies"
+
+        try:
+            response = requests.get(url, params=params, timeout=10)
+            response.raise_for_status()
+
+            data = response.json()
+
+            # --- Handle API error response ---
+            if isinstance(data, dict) and data.get("err"):
+                raise PermissionError(f"[NSTProxy] API Error: {data.get('msg', 'Unknown error')}")
+
+            if not isinstance(data, list) or not data:
+                raise ValueError("[NSTProxy] Invalid API response — expected a non-empty list")
+
+            proxy_info = data[0]
+
+            # --- Apply proxy config ---
+            self.proxy_config = ProxyConfig(
+                server=f"{protocol}://{proxy_info['ip']}:{proxy_info['port']}",
+                username=proxy_info["username"],
+                password=proxy_info["password"],
+            )
+
+        except Exception as e:
+            print(f"[NSTProxy] ❌ Failed to set proxy: {e}")
+            raise
+
 class VirtualScrollConfig:
     """Configuration for virtual scroll handling.
     

crawl4ai/async_crawler_strategy.py

@@ -1383,9 +1383,10 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
         try:
             await self.adapter.evaluate(page,
                 f"""
-                (() => {{
+                (async () => {{
                     try {{
-                        {remove_overlays_js}
+                        const removeOverlays = {remove_overlays_js};
+                        await removeOverlays();
                         return {{ success: true }};
                     }} catch (error) {{
                         return {{

crawl4ai/async_url_seeder.py

@@ -845,6 +845,15 @@ class AsyncUrlSeeder:
             return
 
         data = gzip.decompress(r.content) if url.endswith(".gz") else r.content
+        base_url = str(r.url)
+
+        def _normalize_loc(raw: Optional[str]) -> Optional[str]:
+            if not raw:
+                return None
+            normalized = urljoin(base_url, raw.strip())
+            if not normalized:
+                return None
+            return normalized
 
         # Detect if this is a sitemap index by checking for <sitemapindex> or presence of <sitemap> elements
         is_sitemap_index = False
@@ -857,25 +866,42 @@ class AsyncUrlSeeder:
                 # Use XML parser for sitemaps, not HTML parser
                 parser = etree.XMLParser(recover=True)
                 root = etree.fromstring(data, parser=parser)
+                # Namespace-agnostic lookups using local-name() so we honor custom or missing namespaces
+                sitemap_loc_nodes = root.xpath("//*[local-name()='sitemap']/*[local-name()='loc']")
+                url_loc_nodes = root.xpath("//*[local-name()='url']/*[local-name()='loc']")
 
-                # Define namespace for sitemap
-                ns = {'s': 'http://www.sitemaps.org/schemas/sitemap/0.9'}
+                self._log(
+                    "debug",
+                    "Parsed sitemap {url}: {sitemap_count} sitemap entries, {url_count} url entries discovered",
+                    params={
+                        "url": url,
+                        "sitemap_count": len(sitemap_loc_nodes),
+                        "url_count": len(url_loc_nodes),
+                    },
+                    tag="URL_SEED",
+                )
 
                 # Check for sitemap index entries
-                sitemap_locs = root.xpath('//s:sitemap/s:loc', namespaces=ns)
-                if sitemap_locs:
+                if sitemap_loc_nodes:
                     is_sitemap_index = True
-                    for sitemap_elem in sitemap_locs:
-                        loc = sitemap_elem.text.strip() if sitemap_elem.text else ""
+                    for sitemap_elem in sitemap_loc_nodes:
+                        loc = _normalize_loc(sitemap_elem.text)
                         if loc:
                             sub_sitemaps.append(loc)
 
                 # If not a sitemap index, get regular URLs
                 if not is_sitemap_index:
-                    for loc_elem in root.xpath('//s:url/s:loc', namespaces=ns):
-                        loc = loc_elem.text.strip() if loc_elem.text else ""
+                    for loc_elem in url_loc_nodes:
+                        loc = _normalize_loc(loc_elem.text)
                         if loc:
                             regular_urls.append(loc)
+                    if not regular_urls:
+                        self._log(
+                            "warning",
+                            "No <loc> entries found inside <url> tags for sitemap {url}. The sitemap might be empty or use an unexpected structure.",
+                            params={"url": url},
+                            tag="URL_SEED",
+                        )
             except Exception as e:
                 self._log("error", "LXML parsing error for sitemap {url}: {error}",
                           params={"url": url, "error": str(e)}, tag="URL_SEED")
@@ -892,19 +918,39 @@ class AsyncUrlSeeder:
 
                 # Check for sitemap index entries
                 sitemaps = root.findall('.//sitemap')
+                url_entries = root.findall('.//url')
+                self._log(
+                    "debug",
+                    "ElementTree parsed sitemap {url}: {sitemap_count} sitemap entries, {url_count} url entries discovered",
+                    params={
+                        "url": url,
+                        "sitemap_count": len(sitemaps),
+                        "url_count": len(url_entries),
+                    },
+                    tag="URL_SEED",
+                )
                 if sitemaps:
                     is_sitemap_index = True
                     for sitemap in sitemaps:
                         loc_elem = sitemap.find('loc')
-                        if loc_elem is not None and loc_elem.text:
-                            sub_sitemaps.append(loc_elem.text.strip())
+                        loc = _normalize_loc(loc_elem.text if loc_elem is not None else None)
+                        if loc:
+                            sub_sitemaps.append(loc)
 
                 # If not a sitemap index, get regular URLs
                 if not is_sitemap_index:
-                    for url_elem in root.findall('.//url'):
+                    for url_elem in url_entries:
                         loc_elem = url_elem.find('loc')
-                        if loc_elem is not None and loc_elem.text:
-                            regular_urls.append(loc_elem.text.strip())
+                        loc = _normalize_loc(loc_elem.text if loc_elem is not None else None)
+                        if loc:
+                            regular_urls.append(loc)
+                    if not regular_urls:
+                        self._log(
+                            "warning",
+                            "No <loc> entries found inside <url> tags for sitemap {url}. The sitemap might be empty or use an unexpected structure.",
+                            params={"url": url},
+                            tag="URL_SEED",
+                        )
             except Exception as e:
                 self._log("error", "ElementTree parsing error for sitemap {url}: {error}",
                           params={"url": url, "error": str(e)}, tag="URL_SEED")

crawl4ai/async_webcrawler.py

@@ -617,7 +617,17 @@ class AsyncWebCrawler:
                 else config.chunking_strategy
             )
             sections = chunking.chunk(content)
-            extracted_content = config.extraction_strategy.run(url, sections)
+            # extracted_content = config.extraction_strategy.run(url, sections)
+
+            # Use async version if available for better parallelism
+            if hasattr(config.extraction_strategy, 'arun'):
+                extracted_content = await config.extraction_strategy.arun(url, sections)
+            else:
+                # Fallback to sync version run in thread pool to avoid blocking
+                extracted_content = await asyncio.to_thread(
+                    config.extraction_strategy.run, url, sections
+                )
+
             extracted_content = json.dumps(
                 extracted_content, indent=4, default=str, ensure_ascii=False
             )

crawl4ai/browser_manager.py

@@ -369,6 +369,9 @@ class ManagedBrowser:
             ]
             if self.headless:
                 flags.append("--headless=new")
+            # Add viewport flag if specified in config
+            if self.browser_config.viewport_height and self.browser_config.viewport_width:
+                flags.append(f"--window-size={self.browser_config.viewport_width},{self.browser_config.viewport_height}")
             # merge common launch flags
             flags.extend(self.build_browser_flags(self.browser_config))
         elif self.browser_type == "firefox":
@@ -658,6 +661,11 @@ class BrowserManager:
         if self.config.cdp_url or self.config.use_managed_browser:
             self.config.use_managed_browser = True
             cdp_url = await self.managed_browser.start() if not self.config.cdp_url else self.config.cdp_url
+            
+            # Add CDP endpoint verification before connecting
+            if not await self._verify_cdp_ready(cdp_url):
+                raise Exception(f"CDP endpoint at {cdp_url} is not ready after startup")
+            
             self.browser = await self.playwright.chromium.connect_over_cdp(cdp_url)
             contexts = self.browser.contexts
             if contexts:
@@ -678,6 +686,24 @@ class BrowserManager:
 
             self.default_context = self.browser
 
+    async def _verify_cdp_ready(self, cdp_url: str) -> bool:
+        """Verify CDP endpoint is ready with exponential backoff"""
+        import aiohttp
+        self.logger.debug(f"Starting CDP verification for {cdp_url}", tag="BROWSER")
+        for attempt in range(5):
+            try:
+                async with aiohttp.ClientSession() as session:
+                    async with session.get(f"{cdp_url}/json/version", timeout=aiohttp.ClientTimeout(total=2)) as response:
+                        if response.status == 200:
+                            self.logger.debug(f"CDP endpoint ready after {attempt + 1} attempts", tag="BROWSER")
+                            return True
+            except Exception as e:
+                self.logger.debug(f"CDP check attempt {attempt + 1} failed: {e}", tag="BROWSER")
+            delay = 0.5 * (1.4 ** attempt)
+            self.logger.debug(f"Waiting {delay:.2f}s before next CDP check...", tag="BROWSER")
+            await asyncio.sleep(delay)
+        self.logger.debug(f"CDP verification failed after 5 attempts", tag="BROWSER")
+        return False
 
     def _build_browser_args(self) -> dict:
         """Build browser launch arguments from config."""

crawl4ai/cli.py

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

crawl4ai/content_scraping_strategy.py

@@ -542,6 +542,19 @@ class LXMLWebScrapingStrategy(ContentScrapingStrategy):
             if el.tag in bypass_tags:
                 continue
 
+            # Skip elements inside <pre> or <code> tags where whitespace is significant
+            # This preserves whitespace-only spans (e.g., <span class="w"> </span>) in code blocks
+            is_in_code_block = False
+            ancestor = el.getparent()
+            while ancestor is not None:
+                if ancestor.tag in ("pre", "code"):
+                    is_in_code_block = True
+                    break
+                ancestor = ancestor.getparent()
+
+            if is_in_code_block:
+                continue
+
             text_content = (el.text_content() or "").strip()
             if (
                 len(text_content.split()) < word_count_threshold

crawl4ai/deep_crawling/dfs_strategy.py

@@ -4,14 +4,26 @@ from typing import AsyncGenerator, Optional, Set, Dict, List, Tuple
 from ..models import CrawlResult
 from .bfs_strategy import BFSDeepCrawlStrategy  # noqa
 from ..types import AsyncWebCrawler, CrawlerRunConfig
+from ..utils import normalize_url_for_deep_crawl
 
 class DFSDeepCrawlStrategy(BFSDeepCrawlStrategy):
     """
-    Depth-First Search (DFS) deep crawling strategy.
+    Depth-first deep crawling with familiar BFS rules.
 
-    Inherits URL validation and link discovery from BFSDeepCrawlStrategy.
-    Overrides _arun_batch and _arun_stream to use a stack (LIFO) for DFS traversal.
+    We reuse the same filters, scoring, and page limits from :class:`BFSDeepCrawlStrategy`,
+    but walk the graph with a stack so we fully explore one branch before hopping to the
+    next. DFS also keeps its own ``_dfs_seen`` set so we can drop duplicate links at
+    discovery time without accidentally marking them as “already crawled”.
     """
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._dfs_seen: Set[str] = set()
+
+    def _reset_seen(self, start_url: str) -> None:
+        """Start each crawl with a clean dedupe set seeded with the root URL."""
+        self._dfs_seen = {start_url}
+
     async def _arun_batch(
         self,
         start_url: str,
@@ -19,14 +31,19 @@ class DFSDeepCrawlStrategy(BFSDeepCrawlStrategy):
         config: CrawlerRunConfig,
     ) -> List[CrawlResult]:
         """
-        Batch (non-streaming) DFS mode.
-        Uses a stack to traverse URLs in DFS order, aggregating CrawlResults into a list.
+        Crawl level-by-level but emit results at the end.
+
+        We keep a stack of ``(url, parent, depth)`` tuples, pop one at a time, and
+        hand it to ``crawler.arun_many`` with deep crawling disabled so we remain
+        in control of traversal. Every successful page bumps ``_pages_crawled`` and
+        seeds new stack items discovered via :meth:`link_discovery`.
         """
         visited: Set[str] = set()
         # Stack items: (url, parent_url, depth)
         stack: List[Tuple[str, Optional[str], int]] = [(start_url, None, 0)]
         depths: Dict[str, int] = {start_url: 0}
         results: List[CrawlResult] = []
+        self._reset_seen(start_url)
 
         while stack and not self._cancel_event.is_set():
             url, parent, depth = stack.pop()
@@ -71,12 +88,16 @@ class DFSDeepCrawlStrategy(BFSDeepCrawlStrategy):
         config: CrawlerRunConfig,
     ) -> AsyncGenerator[CrawlResult, None]:
         """
-        Streaming DFS mode.
-        Uses a stack to traverse URLs in DFS order and yields CrawlResults as they become available.
+        Same traversal as :meth:`_arun_batch`, but yield pages immediately.
+
+        Each popped URL is crawled, its metadata annotated, then the result gets
+        yielded before we even look at the next stack entry. Successful crawls
+        still feed :meth:`link_discovery`, keeping DFS order intact.
         """
         visited: Set[str] = set()
         stack: List[Tuple[str, Optional[str], int]] = [(start_url, None, 0)]
         depths: Dict[str, int] = {start_url: 0}
+        self._reset_seen(start_url)
 
         while stack and not self._cancel_event.is_set():
             url, parent, depth = stack.pop()
@@ -108,3 +129,92 @@ class DFSDeepCrawlStrategy(BFSDeepCrawlStrategy):
                     for new_url, new_parent in reversed(new_links):
                         new_depth = depths.get(new_url, depth + 1)
                         stack.append((new_url, new_parent, new_depth))
+
+    async def link_discovery(
+        self,
+        result: CrawlResult,
+        source_url: str,
+        current_depth: int,
+        _visited: Set[str],
+        next_level: List[Tuple[str, Optional[str]]],
+        depths: Dict[str, int],
+    ) -> None:
+        """
+        Find the next URLs we should push onto the DFS stack.
+
+        Parameters
+        ----------
+        result : CrawlResult
+            Output of the page we just crawled; its ``links`` block is our raw material.
+        source_url : str
+            URL of the parent page; stored so callers can track ancestry.
+        current_depth : int
+            Depth of the parent; children naturally sit at ``current_depth + 1``.
+        _visited : Set[str]
+            Present to match the BFS signature, but we rely on ``_dfs_seen`` instead.
+        next_level : list of tuples
+            The stack buffer supplied by the caller; we append new ``(url, parent)`` items here.
+        depths : dict
+            Shared depth map so future metadata tagging knows how deep each URL lives.
+
+        Notes
+        -----
+        - ``_dfs_seen`` keeps us from pushing duplicates without touching the traversal guard.
+        - Validation, scoring, and capacity trimming mirror the BFS version so behaviour stays consistent.
+        """
+        next_depth = current_depth + 1
+        if next_depth > self.max_depth:
+            return
+
+        remaining_capacity = self.max_pages - self._pages_crawled
+        if remaining_capacity <= 0:
+            self.logger.info(
+                f"Max pages limit ({self.max_pages}) reached, stopping link discovery"
+            )
+            return
+
+        links = result.links.get("internal", [])
+        if self.include_external:
+            links += result.links.get("external", [])
+
+        seen = self._dfs_seen
+        valid_links: List[Tuple[str, float]] = []
+
+        for link in links:
+            raw_url = link.get("href")
+            if not raw_url:
+                continue
+
+            normalized_url = normalize_url_for_deep_crawl(raw_url, source_url)
+            if not normalized_url or normalized_url in seen:
+                continue
+
+            if not await self.can_process_url(raw_url, next_depth):
+                self.stats.urls_skipped += 1
+                continue
+
+            score = self.url_scorer.score(normalized_url) if self.url_scorer else 0
+            if score < self.score_threshold:
+                self.logger.debug(
+                    f"URL {normalized_url} skipped: score {score} below threshold {self.score_threshold}"
+                )
+                self.stats.urls_skipped += 1
+                continue
+
+            seen.add(normalized_url)
+            valid_links.append((normalized_url, score))
+
+        if len(valid_links) > remaining_capacity:
+            if self.url_scorer:
+                valid_links.sort(key=lambda x: x[1], reverse=True)
+            valid_links = valid_links[:remaining_capacity]
+            self.logger.info(
+                f"Limiting to {remaining_capacity} URLs due to max_pages limit"
+            )
+
+        for url, score in valid_links:
+            if score:
+                result.metadata = result.metadata or {}
+                result.metadata["score"] = score
+            next_level.append((url, source_url))
+            depths[url] = next_depth

crawl4ai/extraction_strategy.py

@@ -94,6 +94,20 @@ class ExtractionStrategy(ABC):
                 extracted_content.extend(future.result())
         return extracted_content
 
+    async def arun(self, url: str, sections: List[str], *q, **kwargs) -> List[Dict[str, Any]]:
+        """
+        Async version: Process sections of text in parallel using asyncio.
+
+        Default implementation runs the sync version in a thread pool.
+        Subclasses can override this for true async processing.
+
+        :param url: The URL of the webpage.
+        :param sections: List of sections (strings) to process.
+        :return: A list of processed JSON blocks.
+        """
+        import asyncio
+        return await asyncio.to_thread(self.run, url, sections, *q, **kwargs)
+
 
 class NoExtractionStrategy(ExtractionStrategy):
     """
@@ -780,6 +794,177 @@ class LLMExtractionStrategy(ExtractionStrategy):
 
         return extracted_content
 
+    async def aextract(self, url: str, ix: int, html: str) -> List[Dict[str, Any]]:
+        """
+        Async version: Extract meaningful blocks or chunks from the given HTML using an LLM.
+
+        How it works:
+        1. Construct a prompt with variables.
+        2. Make an async request to the LLM using the prompt.
+        3. Parse the response and extract blocks or chunks.
+
+        Args:
+            url: The URL of the webpage.
+            ix: Index of the block.
+            html: The HTML content of the webpage.
+
+        Returns:
+            A list of extracted blocks or chunks.
+        """
+        from .utils import aperform_completion_with_backoff
+
+        if self.verbose:
+            print(f"[LOG] Call LLM for {url} - block index: {ix}")
+
+        variable_values = {
+            "URL": url,
+            "HTML": escape_json_string(sanitize_html(html)),
+        }
+
+        prompt_with_variables = PROMPT_EXTRACT_BLOCKS
+        if self.instruction:
+            variable_values["REQUEST"] = self.instruction
+            prompt_with_variables = PROMPT_EXTRACT_BLOCKS_WITH_INSTRUCTION
+
+        if self.extract_type == "schema" and self.schema:
+            variable_values["SCHEMA"] = json.dumps(self.schema, indent=2)
+            prompt_with_variables = PROMPT_EXTRACT_SCHEMA_WITH_INSTRUCTION
+
+        if self.extract_type == "schema" and not self.schema:
+            prompt_with_variables = PROMPT_EXTRACT_INFERRED_SCHEMA
+
+        for variable in variable_values:
+            prompt_with_variables = prompt_with_variables.replace(
+                "{" + variable + "}", variable_values[variable]
+            )
+
+        try:
+            response = await aperform_completion_with_backoff(
+                self.llm_config.provider,
+                prompt_with_variables,
+                self.llm_config.api_token,
+                base_url=self.llm_config.base_url,
+                json_response=self.force_json_response,
+                extra_args=self.extra_args,
+            )
+            # Track usage
+            usage = TokenUsage(
+                completion_tokens=response.usage.completion_tokens,
+                prompt_tokens=response.usage.prompt_tokens,
+                total_tokens=response.usage.total_tokens,
+                completion_tokens_details=response.usage.completion_tokens_details.__dict__
+                if response.usage.completion_tokens_details
+                else {},
+                prompt_tokens_details=response.usage.prompt_tokens_details.__dict__
+                if response.usage.prompt_tokens_details
+                else {},
+            )
+            self.usages.append(usage)
+
+            # Update totals
+            self.total_usage.completion_tokens += usage.completion_tokens
+            self.total_usage.prompt_tokens += usage.prompt_tokens
+            self.total_usage.total_tokens += usage.total_tokens
+
+            try:
+                content = response.choices[0].message.content
+                blocks = None
+
+                if self.force_json_response:
+                    blocks = json.loads(content)
+                    if isinstance(blocks, dict):
+                        if len(blocks) == 1 and isinstance(list(blocks.values())[0], list):
+                            blocks = list(blocks.values())[0]
+                        else:
+                            blocks = [blocks]
+                    elif isinstance(blocks, list):
+                        blocks = blocks
+                else:
+                    blocks = extract_xml_data(["blocks"], content)["blocks"]
+                    blocks = json.loads(blocks)
+
+                for block in blocks:
+                    block["error"] = False
+            except Exception:
+                parsed, unparsed = split_and_parse_json_objects(
+                    response.choices[0].message.content
+                )
+                blocks = parsed
+                if unparsed:
+                    blocks.append(
+                        {"index": 0, "error": True, "tags": ["error"], "content": unparsed}
+                    )
+
+            if self.verbose:
+                print(
+                    "[LOG] Extracted",
+                    len(blocks),
+                    "blocks from URL:",
+                    url,
+                    "block index:",
+                    ix,
+                )
+            return blocks
+        except Exception as e:
+            if self.verbose:
+                print(f"[LOG] Error in LLM extraction: {e}")
+            return [
+                {
+                    "index": ix,
+                    "error": True,
+                    "tags": ["error"],
+                    "content": str(e),
+                }
+            ]
+
+    async def arun(self, url: str, sections: List[str]) -> List[Dict[str, Any]]:
+        """
+        Async version: Process sections with true parallelism using asyncio.gather.
+
+        Args:
+            url: The URL of the webpage.
+            sections: List of sections (strings) to process.
+
+        Returns:
+            A list of extracted blocks or chunks.
+        """
+        import asyncio
+
+        merged_sections = self._merge(
+            sections,
+            self.chunk_token_threshold,
+            overlap=int(self.chunk_token_threshold * self.overlap_rate),
+        )
+
+        extracted_content = []
+
+        # Create tasks for all sections to run in parallel
+        tasks = [
+            self.aextract(url, ix, sanitize_input_encode(section))
+            for ix, section in enumerate(merged_sections)
+        ]
+
+        # Execute all tasks concurrently
+        results = await asyncio.gather(*tasks, return_exceptions=True)
+
+        # Process results
+        for result in results:
+            if isinstance(result, Exception):
+                if self.verbose:
+                    print(f"Error in async extraction: {result}")
+                extracted_content.append(
+                    {
+                        "index": 0,
+                        "error": True,
+                        "tags": ["error"],
+                        "content": str(result),
+                    }
+                )
+            else:
+                extracted_content.extend(result)
+
+        return extracted_content
+
     def show_usage(self) -> None:
         """Print a detailed token usage report showing total and per-request usage."""
         print("\n=== Token Usage Summary ===")

crawl4ai/models.py

@@ -1,4 +1,4 @@
-from pydantic import BaseModel, HttpUrl, PrivateAttr, Field
+from pydantic import BaseModel, HttpUrl, PrivateAttr, Field, ConfigDict
 from typing import List, Dict, Optional, Callable, Awaitable, Union, Any
 from typing import AsyncGenerator
 from typing import Generic, TypeVar
@@ -153,8 +153,7 @@ class CrawlResult(BaseModel):
     console_messages: Optional[List[Dict[str, Any]]] = None
     tables: List[Dict] = Field(default_factory=list)  # NEW – [{headers,rows,caption,summary}]
 
-    class Config:
-        arbitrary_types_allowed = True
+    model_config = ConfigDict(arbitrary_types_allowed=True)
 
 # NOTE: The StringCompatibleMarkdown class, custom __init__ method, property getters/setters,
 # and model_dump override all exist to support a smooth transition from markdown as a string
@@ -332,8 +331,7 @@ class AsyncCrawlResponse(BaseModel):
     network_requests: Optional[List[Dict[str, Any]]] = None
     console_messages: Optional[List[Dict[str, Any]]] = None
 
-    class Config:
-        arbitrary_types_allowed = True
+    model_config = ConfigDict(arbitrary_types_allowed=True)
 
 ###############################
 # Scraping Models

crawl4ai/server_cli.py

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

crawl4ai/templates/docker-compose.template.yml

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

crawl4ai/templates/nginx.conf.template

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

crawl4ai/utils.py

@@ -1825,6 +1825,82 @@ def perform_completion_with_backoff(
             # ]
 
 
+async def aperform_completion_with_backoff(
+    provider,
+    prompt_with_variables,
+    api_token,
+    json_response=False,
+    base_url=None,
+    **kwargs,
+):
+    """
+    Async version: Perform an API completion request with exponential backoff.
+
+    How it works:
+    1. Sends an async completion request to the API.
+    2. Retries on rate-limit errors with exponential delays (async).
+    3. Returns the API response or an error after all retries.
+
+    Args:
+        provider (str): The name of the API provider.
+        prompt_with_variables (str): The input prompt for the completion request.
+        api_token (str): The API token for authentication.
+        json_response (bool): Whether to request a JSON response. Defaults to False.
+        base_url (Optional[str]): The base URL for the API. Defaults to None.
+        **kwargs: Additional arguments for the API request.
+
+    Returns:
+        dict: The API response or an error message after all retries.
+    """
+
+    from litellm import acompletion
+    from litellm.exceptions import RateLimitError
+    import asyncio
+
+    max_attempts = 3
+    base_delay = 2  # Base delay in seconds, you can adjust this based on your needs
+
+    extra_args = {"temperature": 0.01, "api_key": api_token, "base_url": base_url}
+    if json_response:
+        extra_args["response_format"] = {"type": "json_object"}
+
+    if kwargs.get("extra_args"):
+        extra_args.update(kwargs["extra_args"])
+
+    for attempt in range(max_attempts):
+        try:
+            response = await acompletion(
+                model=provider,
+                messages=[{"role": "user", "content": prompt_with_variables}],
+                **extra_args,
+            )
+            return response  # Return the successful response
+        except RateLimitError as e:
+            print("Rate limit error:", str(e))
+
+            if attempt == max_attempts - 1:
+                # Last attempt failed, raise the error.
+                raise
+
+            # Check if we have exhausted our max attempts
+            if attempt < max_attempts - 1:
+                # Calculate the delay and wait
+                delay = base_delay * (2**attempt)  # Exponential backoff formula
+                print(f"Waiting for {delay} seconds before retrying...")
+                await asyncio.sleep(delay)
+            else:
+                # Return an error response after exhausting all retries
+                return [
+                    {
+                        "index": 0,
+                        "tags": ["error"],
+                        "content": ["Rate limit error. Please try again later."],
+                    }
+                ]
+        except Exception as e:
+            raise e  # Raise any other exceptions immediately
+
+
 def extract_blocks(url, html, provider=DEFAULT_PROVIDER, api_token=None, base_url=None):
     """
     Extract content blocks from website HTML using an AI provider.

deploy/docker/AGENT.md

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

deploy/docker/README.md

@@ -59,13 +59,13 @@ Pull and run images directly from Docker Hub without building locally.
 
 #### 1. Pull the Image
 
-Our latest stable release is `0.7.6`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
+Our latest stable release is `0.7.7`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
 
 ```bash
-# Pull the latest stable version (0.7.6)
-docker pull unclecode/crawl4ai:0.7.6
+# Pull the latest stable version (0.7.7)
+docker pull unclecode/crawl4ai:0.7.7
 
-# Or use the latest tag (points to 0.7.6)
+# Or use the latest tag (points to 0.7.7)
 docker pull unclecode/crawl4ai:latest
 ```
 
@@ -100,7 +100,7 @@ EOL
       -p 11235:11235 \
       --name crawl4ai \
       --shm-size=1g \
-      unclecode/crawl4ai:0.7.6
+      unclecode/crawl4ai:0.7.7
     ```
 
 *   **With LLM support:**
@@ -111,7 +111,7 @@ EOL
       --name crawl4ai \
       --env-file .llm.env \
       --shm-size=1g \
-      unclecode/crawl4ai:0.7.6
+      unclecode/crawl4ai:0.7.7
     ```
 
 > The server will be available at `http://localhost:11235`. Visit `/playground` to access the interactive testing interface.
@@ -184,7 +184,7 @@ The `docker-compose.yml` file in the project root provides a simplified approach
     ```bash
     # Pulls and runs the release candidate from Docker Hub
     # Automatically selects the correct architecture
-    IMAGE=unclecode/crawl4ai:0.7.6 docker compose up -d
+    IMAGE=unclecode/crawl4ai:0.7.7 docker compose up -d
     ```
 
 *   **Build and Run Locally:**

deploy/docker/__init__.py

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

deploy/docker/cnode_cli.py

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

deploy/docker/monitor.py

@@ -5,7 +5,6 @@ import asyncio
 from typing import Dict, List, Optional
 from datetime import datetime, timezone
 from collections import deque
-from dataclasses import dataclass
 from redis import asyncio as aioredis
 from utils import get_container_memory_percent
 import psutil
@@ -13,49 +12,13 @@ import logging
 
 logger = logging.getLogger(__name__)
 
-
-# ========== Configuration ==========
-
-@dataclass
-class RedisTTLConfig:
-    """Redis TTL configuration (in seconds).
-
-    Configures how long different types of monitoring data are retained in Redis.
-    Adjust based on your monitoring needs and Redis memory constraints.
-    """
-    active_requests: int = 300  # 5 minutes - short-lived active request data
-    completed_requests: int = 3600  # 1 hour - recent completed requests
-    janitor_events: int = 3600  # 1 hour - browser cleanup events
-    errors: int = 3600  # 1 hour - error logs
-    endpoint_stats: int = 86400  # 24 hours - aggregated endpoint statistics
-    heartbeat: int = 60  # 1 minute - container heartbeat (2x the 30s interval)
-
-    @classmethod
-    def from_env(cls) -> 'RedisTTLConfig':
-        """Load TTL configuration from environment variables."""
-        import os
-        return cls(
-            active_requests=int(os.getenv('REDIS_TTL_ACTIVE_REQUESTS', 300)),
-            completed_requests=int(os.getenv('REDIS_TTL_COMPLETED_REQUESTS', 3600)),
-            janitor_events=int(os.getenv('REDIS_TTL_JANITOR_EVENTS', 3600)),
-            errors=int(os.getenv('REDIS_TTL_ERRORS', 3600)),
-            endpoint_stats=int(os.getenv('REDIS_TTL_ENDPOINT_STATS', 86400)),
-            heartbeat=int(os.getenv('REDIS_TTL_HEARTBEAT', 60)),
-        )
-
-
 class MonitorStats:
     """Tracks real-time server stats with Redis persistence."""
 
-    def __init__(self, redis: aioredis.Redis, ttl_config: Optional[RedisTTLConfig] = None):
+    def __init__(self, redis: aioredis.Redis):
         self.redis = redis
-        self.ttl = ttl_config or RedisTTLConfig.from_env()
         self.start_time = time.time()
 
-        # Get container ID for Redis keys
-        from utils import get_container_id
-        self.container_id = get_container_id()
-
         # In-memory queues (fast reads, Redis backup)
         self.active_requests: Dict[str, Dict] = {}  # id -> request info
         self.completed_requests: deque = deque(maxlen=100)  # Last 100
@@ -69,9 +32,6 @@ class MonitorStats:
         self._persist_queue: asyncio.Queue = asyncio.Queue(maxsize=10)
         self._persist_worker_task: Optional[asyncio.Task] = None
 
-        # Heartbeat task for container discovery
-        self._heartbeat_task: Optional[asyncio.Task] = None
-
         # Timeline data (5min window, 5s resolution = 60 points)
         self.memory_timeline: deque = deque(maxlen=60)
         self.requests_timeline: deque = deque(maxlen=60)
@@ -85,14 +45,10 @@ class MonitorStats:
             "url": url[:100],  # Truncate long URLs
             "start_time": time.time(),
             "config_sig": config.get("sig", "default") if config else "default",
-            "mem_start": psutil.Process().memory_info().rss / (1024 * 1024),
-            "container_id": self.container_id
+            "mem_start": psutil.Process().memory_info().rss / (1024 * 1024)
         }
         self.active_requests[request_id] = req_info
 
-        # Persist to Redis
-        await self._persist_active_requests()
-
         # Increment endpoint counter
         if endpoint not in self.endpoint_stats:
             self.endpoint_stats[endpoint] = {
@@ -139,29 +95,19 @@ class MonitorStats:
             "success": success,
             "error": error,
             "status_code": status_code,
-            "pool_hit": pool_hit,
-            "container_id": self.container_id
+            "pool_hit": pool_hit
         }
         self.completed_requests.append(completed)
 
-        # Persist to Redis
-        await self._persist_completed_requests()
-        await self._persist_active_requests()  # Update active (removed this request)
-
         # Track errors
         if not success and error:
-            error_entry = {
+            self.errors.append({
                 "timestamp": end_time,
                 "endpoint": endpoint,
                 "url": req_info["url"],
                 "error": error,
-                "request_id": request_id,
-                "message": error,
-                "level": "ERROR",
-                "container_id": self.container_id
-            }
-            self.errors.append(error_entry)
-            await self._persist_errors()
+                "request_id": request_id
+            })
 
         await self._persist_endpoint_stats()
 
@@ -171,10 +117,8 @@ class MonitorStats:
             "timestamp": time.time(),
             "type": event_type,  # "close_cold", "close_hot", "promote"
             "sig": sig[:8],
-            "details": details,
-            "container_id": self.container_id
+            "details": details
         })
-        await self._persist_janitor_events()
 
     def _cleanup_old_entries(self, max_age_seconds: int = 300):
         """Remove entries older than max_age_seconds (default 5min)."""
@@ -205,23 +149,13 @@ class MonitorStats:
         recent_reqs = sum(1 for req in self.completed_requests
                          if now - req.get("end_time", 0) < 5)
 
-        # Browser counts (acquire lock with timeout to prevent deadlock)
+        # Browser counts (acquire lock to prevent race conditions)
         from crawler_pool import PERMANENT, HOT_POOL, COLD_POOL, LOCK
-        try:
-            async with asyncio.timeout(2.0):
-                async with LOCK:
-                    browser_count = {
-                        "permanent": 1 if PERMANENT else 0,
-                        "hot": len(HOT_POOL),
-                        "cold": len(COLD_POOL)
-                    }
-        except asyncio.TimeoutError:
-            logger.warning("Lock acquisition timeout in update_timeline, using cached browser counts")
-            # Use last known values or defaults
+        async with LOCK:
             browser_count = {
-                "permanent": 1,
-                "hot": 0,
-                "cold": 0
+                "permanent": 1 if PERMANENT else 0,
+                "hot": len(HOT_POOL),
+                "cold": len(COLD_POOL)
             }
 
         self.memory_timeline.append({"time": now, "value": mem_pct})
@@ -229,117 +163,15 @@ class MonitorStats:
         self.browser_timeline.append({"time": now, "browsers": browser_count})
 
     async def _persist_endpoint_stats(self):
-        """Persist endpoint stats to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                await self.redis.set(
-                    "monitor:endpoint_stats",
-                    json.dumps(self.endpoint_stats),
-                    ex=self.ttl.endpoint_stats
-                )
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting endpoint stats (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist endpoint stats after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting endpoint stats: {e}")
-                break
-
-    async def _persist_active_requests(self):
-        """Persist active requests to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                if self.active_requests:
-                    await self.redis.set(
-                        f"monitor:{self.container_id}:active_requests",
-                        json.dumps(list(self.active_requests.values())),
-                        ex=self.ttl.active_requests
-                    )
-                else:
-                    await self.redis.delete(f"monitor:{self.container_id}:active_requests")
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting active requests (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist active requests after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting active requests: {e}")
-                break
-
-    async def _persist_completed_requests(self):
-        """Persist completed requests to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                await self.redis.set(
-                    f"monitor:{self.container_id}:completed",
-                    json.dumps(list(self.completed_requests)),
-                    ex=self.ttl.completed_requests
-                )
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting completed requests (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist completed requests after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting completed requests: {e}")
-                break
-
-    async def _persist_janitor_events(self):
-        """Persist janitor events to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                await self.redis.set(
-                    f"monitor:{self.container_id}:janitor",
-                    json.dumps(list(self.janitor_events)),
-                    ex=self.ttl.janitor_events
-                )
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting janitor events (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist janitor events after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting janitor events: {e}")
-                break
-
-    async def _persist_errors(self):
-        """Persist errors to Redis with retry logic."""
-        max_retries = 3
-        for attempt in range(max_retries):
-            try:
-                await self.redis.set(
-                    f"monitor:{self.container_id}:errors",
-                    json.dumps(list(self.errors)),
-                    ex=self.ttl.errors
-                )
-                return  # Success
-            except aioredis.ConnectionError as e:
-                if attempt < max_retries - 1:
-                    backoff = 0.5 * (2 ** attempt)  # 0.5s, 1s, 2s
-                    logger.warning(f"Redis connection error persisting errors (attempt {attempt + 1}/{max_retries}), retrying in {backoff}s: {e}")
-                    await asyncio.sleep(backoff)
-                else:
-                    logger.error(f"Failed to persist errors after {max_retries} attempts: {e}")
-            except Exception as e:
-                logger.error(f"Non-retryable error persisting errors: {e}")
-                break
+        """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."""
@@ -370,121 +202,25 @@ class MonitorStats:
             self._persist_worker_task = None
             logger.info("Stopped persistence worker")
 
-    async def _heartbeat_worker(self):
-        """Send heartbeat to Redis every 30s with circuit breaker for failures."""
-        from utils import detect_deployment_mode
-        import os
-
-        heartbeat_failures = 0
-        max_failures = 5  # Circuit breaker threshold
-
-        while True:
-            try:
-                # Get hostname/container name for friendly display
-                # Try HOSTNAME env var first (set by Docker Compose), then socket.gethostname()
-                import socket
-                hostname = os.getenv("HOSTNAME", socket.gethostname())
-
-                # Register this container
-                mode, containers = detect_deployment_mode()
-                container_info = {
-                    "id": self.container_id,
-                    "hostname": hostname,
-                    "last_seen": time.time(),
-                    "mode": mode,
-                    "failure_count": heartbeat_failures
-                }
-
-                # Set heartbeat with configured TTL
-                await self.redis.setex(
-                    f"monitor:heartbeat:{self.container_id}",
-                    self.ttl.heartbeat,
-                    json.dumps(container_info)
-                )
-
-                # Add to active containers set
-                await self.redis.sadd("monitor:active_containers", self.container_id)
-
-                # Reset failure counter on success
-                heartbeat_failures = 0
-
-                # Wait 30s before next heartbeat
-                await asyncio.sleep(30)
-
-            except asyncio.CancelledError:
-                break
-            except aioredis.ConnectionError as e:
-                heartbeat_failures += 1
-                logger.error(
-                    f"Heartbeat Redis connection error (attempt {heartbeat_failures}/{max_failures}): {e}"
-                )
-
-                if heartbeat_failures >= max_failures:
-                    # Circuit breaker - back off for longer
-                    logger.critical(
-                        f"Heartbeat circuit breaker triggered after {heartbeat_failures} failures. "
-                        f"Container will appear offline for 5 minutes."
-                    )
-                    await asyncio.sleep(300)  # 5 min backoff
-                    heartbeat_failures = 0
-                else:
-                    # Exponential backoff
-                    backoff = min(30 * (2 ** heartbeat_failures), 300)
-                    await asyncio.sleep(backoff)
-            except Exception as e:
-                logger.error(f"Unexpected heartbeat error: {e}", exc_info=True)
-                await asyncio.sleep(30)
-
-    def start_heartbeat(self):
-        """Start the heartbeat worker."""
-        if not self._heartbeat_task:
-            self._heartbeat_task = asyncio.create_task(self._heartbeat_worker())
-            logger.info("Started heartbeat worker")
-
-    async def stop_heartbeat(self):
-        """Stop the heartbeat worker and immediately deregister container."""
-        if self._heartbeat_task:
-            self._heartbeat_task.cancel()
-            try:
-                await self._heartbeat_task
-            except asyncio.CancelledError:
-                pass
-
-            # Immediate deregistration (no 60s wait)
-            try:
-                await self.redis.srem("monitor:active_containers", self.container_id)
-                await self.redis.delete(f"monitor:heartbeat:{self.container_id}")
-                logger.info(f"Container {self.container_id} immediately deregistered from monitoring")
-            except Exception as e:
-                logger.warning(f"Failed to deregister container on shutdown: {e}")
-
-            self._heartbeat_task = None
-            logger.info("Stopped heartbeat worker")
-
     async def cleanup(self):
         """Cleanup on shutdown - persist final stats and stop workers."""
         logger.info("Monitor cleanup starting...")
         try:
             # Persist final stats before shutdown
             await self._persist_endpoint_stats()
-            # Stop background workers
+            # Stop background worker
             await self.stop_persistence_worker()
-            await self.stop_heartbeat()
             logger.info("Monitor cleanup completed")
         except Exception as e:
             logger.error(f"Monitor cleanup error: {e}")
 
     async def load_from_redis(self):
-        """Load persisted stats from Redis and start workers."""
+        """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")
-
-            # Start background workers
-            self.start_heartbeat()
-
         except Exception as e:
             logger.warning(f"Failed to load from Redis: {e}")
 
@@ -496,28 +232,17 @@ class MonitorStats:
         # Network I/O (delta since last call)
         net = psutil.net_io_counters()
 
-        # Pool status (acquire lock with timeout to prevent race conditions)
+        # Pool status (acquire lock to prevent race conditions)
         from crawler_pool import PERMANENT, HOT_POOL, COLD_POOL, LOCK
-        try:
-            async with asyncio.timeout(2.0):
-                async with LOCK:
-                    # TODO: Track actual browser process memory instead of estimates
-                    # These are conservative estimates based on typical Chromium usage
-                    permanent_mem = 270 if PERMANENT else 0  # Estimate: ~270MB for permanent browser
-                    hot_mem = len(HOT_POOL) * 180  # Estimate: ~180MB per hot pool browser
-                    cold_mem = len(COLD_POOL) * 180  # Estimate: ~180MB per cold pool browser
-                    permanent_active = PERMANENT is not None
-                    hot_count = len(HOT_POOL)
-                    cold_count = len(COLD_POOL)
-        except asyncio.TimeoutError:
-            logger.warning("Lock acquisition timeout in get_health_summary, using defaults")
-            # Use safe defaults when lock times out
-            permanent_mem = 0
-            hot_mem = 0
-            cold_mem = 0
-            permanent_active = False
-            hot_count = 0
-            cold_count = 0
+        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": {
@@ -561,52 +286,46 @@ class MonitorStats:
         return requests
 
     async def get_browser_list(self) -> List[Dict]:
-        """Get detailed browser pool information with timeout protection."""
+        """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 with timeout to prevent deadlock
-        try:
-            async with asyncio.timeout(2.0):
-                async with LOCK:
-                    if PERMANENT:
-                        browsers.append({
-                            "type": "permanent",
-                            "sig": DEFAULT_CONFIG_SIG[:8] if DEFAULT_CONFIG_SIG else "unknown",
-                            "age_seconds": int(now - self.start_time),
-                            "last_used_seconds": int(now - LAST_USED.get(DEFAULT_CONFIG_SIG, now)),
-                            "memory_mb": 270,
-                            "hits": USAGE_COUNT.get(DEFAULT_CONFIG_SIG, 0),
-                            "killable": False
-                        })
+        # 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 HOT_POOL.items():
+                browsers.append({
+                    "type": "hot",
+                    "sig": sig[:8],
+                    "age_seconds": int(now - self.start_time),  # Approximation
+                    "last_used_seconds": int(now - LAST_USED.get(sig, now)),
+                    "memory_mb": 180,  # Estimate
+                    "hits": USAGE_COUNT.get(sig, 0),
+                    "killable": True
+                })
 
-                    for sig, crawler in COLD_POOL.items():
-                        browsers.append({
-                            "type": "cold",
-                            "sig": sig[:8],
-                            "age_seconds": int(now - self.start_time),
-                            "last_used_seconds": int(now - LAST_USED.get(sig, now)),
-                            "memory_mb": 180,
-                            "hits": USAGE_COUNT.get(sig, 0),
-                            "killable": True
-                        })
-        except asyncio.TimeoutError:
-            logger.error("Browser list lock timeout - pool may be locked by janitor")
-            # Return empty list when lock times out to prevent blocking
-            return []
+            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
 

deploy/docker/monitor_routes.py

@@ -3,140 +3,14 @@ from fastapi import APIRouter, HTTPException, WebSocket, WebSocketDisconnect
 from pydantic import BaseModel
 from typing import Optional
 from monitor import get_monitor
-from utils import detect_deployment_mode, get_container_id
 import logging
 import asyncio
 import json
-import re
 
 logger = logging.getLogger(__name__)
 router = APIRouter(prefix="/monitor", tags=["monitor"])
 
 
-# ========== Security & Validation ==========
-
-def validate_container_id(cid: str) -> bool:
-    """Validate container ID format to prevent Redis key injection.
-
-    Docker container IDs are 12-64 character hexadecimal strings.
-    Hostnames are alphanumeric with dashes and underscores.
-
-    Args:
-        cid: Container ID to validate
-
-    Returns:
-        True if valid, False otherwise
-    """
-    if not cid or not isinstance(cid, str):
-        return False
-
-    # Allow alphanumeric, dashes, and underscores only (1-64 chars)
-    # This prevents path traversal (../../), wildcards (**), and other injection attempts
-    return bool(re.match(r'^[a-zA-Z0-9_-]{1,64}$', cid))
-
-
-# ========== Redis Aggregation Helpers ==========
-
-async def _get_active_containers():
-    """Get list of active container IDs from Redis with validation."""
-    try:
-        monitor = get_monitor()
-        container_ids = await monitor.redis.smembers("monitor:active_containers")
-
-        # Decode and validate each container ID
-        validated = []
-        for cid in container_ids:
-            cid_str = cid.decode() if isinstance(cid, bytes) else cid
-
-            if validate_container_id(cid_str):
-                validated.append(cid_str)
-            else:
-                logger.warning(f"Invalid container ID format rejected: {cid_str}")
-
-        return validated
-    except Exception as e:
-        logger.error(f"Failed to get active containers: {e}")
-        return []
-
-
-async def _aggregate_active_requests():
-    """Aggregate active requests from all containers."""
-    container_ids = await _get_active_containers()
-    all_requests = []
-
-    monitor = get_monitor()
-    for container_id in container_ids:
-        try:
-            data = await monitor.redis.get(f"monitor:{container_id}:active_requests")
-            if data:
-                requests = json.loads(data)
-                all_requests.extend(requests)
-        except Exception as e:
-            logger.warning(f"Failed to get active requests from {container_id}: {e}")
-
-    return all_requests
-
-
-async def _aggregate_completed_requests(limit=100):
-    """Aggregate completed requests from all containers."""
-    container_ids = await _get_active_containers()
-    all_requests = []
-
-    monitor = get_monitor()
-    for container_id in container_ids:
-        try:
-            data = await monitor.redis.get(f"monitor:{container_id}:completed")
-            if data:
-                requests = json.loads(data)
-                all_requests.extend(requests)
-        except Exception as e:
-            logger.warning(f"Failed to get completed requests from {container_id}: {e}")
-
-    # Sort by end_time (most recent first) and limit
-    all_requests.sort(key=lambda x: x.get("end_time", 0), reverse=True)
-    return all_requests[:limit]
-
-
-async def _aggregate_janitor_events(limit=100):
-    """Aggregate janitor events from all containers."""
-    container_ids = await _get_active_containers()
-    all_events = []
-
-    monitor = get_monitor()
-    for container_id in container_ids:
-        try:
-            data = await monitor.redis.get(f"monitor:{container_id}:janitor")
-            if data:
-                events = json.loads(data)
-                all_events.extend(events)
-        except Exception as e:
-            logger.warning(f"Failed to get janitor events from {container_id}: {e}")
-
-    # Sort by timestamp (most recent first) and limit
-    all_events.sort(key=lambda x: x.get("timestamp", 0), reverse=True)
-    return all_events[:limit]
-
-
-async def _aggregate_errors(limit=100):
-    """Aggregate errors from all containers."""
-    container_ids = await _get_active_containers()
-    all_errors = []
-
-    monitor = get_monitor()
-    for container_id in container_ids:
-        try:
-            data = await monitor.redis.get(f"monitor:{container_id}:errors")
-            if data:
-                errors = json.loads(data)
-                all_errors.extend(errors)
-        except Exception as e:
-            logger.warning(f"Failed to get errors from {container_id}: {e}")
-
-    # Sort by timestamp (most recent first) and limit
-    all_errors.sort(key=lambda x: x.get("timestamp", 0), reverse=True)
-    return all_errors[:limit]
-
-
 @router.get("/health")
 async def get_health():
     """Get current system health snapshot."""
@@ -163,23 +37,18 @@ async def get_requests(status: str = "all", limit: int = 50):
         raise HTTPException(400, f"Invalid limit: {limit}. Must be between 1 and 1000")
 
     try:
-        # Aggregate from all containers via Redis
-        active_requests = await _aggregate_active_requests()
-        completed_requests = await _aggregate_completed_requests(limit)
-
-        # Filter by status if needed
-        if status in ["success", "error"]:
-            is_success = (status == "success")
-            completed_requests = [r for r in completed_requests if r.get("success") == is_success]
+        monitor = get_monitor()
 
         if status == "active":
-            return {"active": active_requests, "completed": []}
+            return {"active": monitor.get_active_requests(), "completed": []}
         elif status == "completed":
-            return {"active": [], "completed": completed_requests}
-        else:  # "all" or success/error
+            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": active_requests,
-                "completed": completed_requests
+                "active": monitor.get_active_requests(),
+                "completed": monitor.get_completed_requests(limit)
             }
     except Exception as e:
         logger.error(f"Error getting requests: {e}")
@@ -191,13 +60,8 @@ async def get_browsers():
     """Get detailed browser pool information."""
     try:
         monitor = get_monitor()
-        container_id = get_container_id()
         browsers = await monitor.get_browser_list()
 
-        # Add container_id to each browser
-        for browser in browsers:
-            browser["container_id"] = container_id
-
         # Calculate summary stats
         total_browsers = len(browsers)
         total_memory = sum(b["memory_mb"] for b in browsers)
@@ -213,8 +77,7 @@ async def get_browsers():
                 "total_count": total_browsers,
                 "total_memory_mb": total_memory,
                 "reuse_rate_percent": round(reuse_rate, 1)
-            },
-            "container_id": container_id
+            }
         }
     except Exception as e:
         logger.error(f"Error getting browsers: {e}")
@@ -262,9 +125,8 @@ async def get_janitor_log(limit: int = 100):
         raise HTTPException(400, f"Invalid limit: {limit}. Must be between 1 and 1000")
 
     try:
-        # Aggregate from all containers via Redis
-        events = await _aggregate_janitor_events(limit)
-        return {"events": events}
+        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))
@@ -278,9 +140,8 @@ async def get_errors_log(limit: int = 100):
         raise HTTPException(400, f"Invalid limit: {limit}. Must be between 1 and 1000")
 
     try:
-        # Aggregate from all containers via Redis
-        errors = await _aggregate_errors(limit)
-        return {"errors": errors}
+        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))
@@ -489,57 +350,15 @@ async def reset_stats():
         raise HTTPException(500, str(e))
 
 
-@router.get("/containers")
-async def get_containers():
-    """Get container deployment info from Redis heartbeats."""
-    try:
-        monitor = get_monitor()
-        container_ids = await _get_active_containers()
-
-        containers = []
-        for cid in container_ids:
-            try:
-                # Get heartbeat data
-                data = await monitor.redis.get(f"monitor:heartbeat:{cid}")
-                if data:
-                    info = json.loads(data)
-                    containers.append({
-                        "id": info.get("id", cid),
-                        "hostname": info.get("hostname", cid),
-                        "healthy": True  # If heartbeat exists, it's healthy
-                    })
-            except Exception as e:
-                logger.warning(f"Failed to get heartbeat for {cid}: {e}")
-
-        # Determine mode
-        mode = "single" if len(containers) == 1 else "compose"
-        if len(containers) > 1:
-            # Check if any hostname has swarm pattern (service.slot.task_id)
-            if any("." in c["hostname"] and len(c["hostname"].split(".")) > 2 for c in containers):
-                mode = "swarm"
-
-        return {
-            "mode": mode,
-            "container_id": get_container_id(),
-            "containers": containers,
-            "count": len(containers)
-        }
-    except Exception as e:
-        logger.error(f"Error getting containers: {e}")
-        raise HTTPException(500, str(e))
-
-
 @router.websocket("/ws")
 async def websocket_endpoint(websocket: WebSocket):
     """WebSocket endpoint for real-time monitoring updates.
 
-    Sends aggregated updates every 2 seconds from all containers with:
-    - Health stats (local container)
-    - Active/completed requests (aggregated from all containers)
-    - Browser pool status (local container only - not in Redis)
-    - Timeline data (local container - TODO: aggregate from Redis)
-    - Janitor events (aggregated from all containers)
-    - Errors (aggregated from all containers)
+    Sends updates every 2 seconds with:
+    - Health stats
+    - Active/completed requests
+    - Browser pool status
+    - Timeline data
     """
     await websocket.accept()
     logger.info("WebSocket client connected")
@@ -547,46 +366,24 @@ async def websocket_endpoint(websocket: WebSocket):
     try:
         while True:
             try:
-                # Gather aggregated monitoring data from Redis
+                # Gather all monitoring data
                 monitor = get_monitor()
-                container_id = get_container_id()
-
-                # Get container info
-                containers_info = await get_containers()
-
-                # AGGREGATE data from all containers via Redis
-                active_reqs = await _aggregate_active_requests()
-                completed_reqs = await _aggregate_completed_requests(limit=10)
-                janitor_events = await _aggregate_janitor_events(limit=10)
-                errors_log = await _aggregate_errors(limit=10)
-
-                # Local container data (not aggregated)
-                local_health = await monitor.get_health_summary()
-                browsers = await monitor.get_browser_list()  # Browser list is local only
-
-                # Add container_id to browsers (they're local)
-                for browser in browsers:
-                    browser["container_id"] = container_id
 
                 data = {
                     "timestamp": asyncio.get_event_loop().time(),
-                    "container_id": container_id,  # This container handling the WebSocket
-                    "is_aggregated": True,  # Flag to indicate aggregated data
-                    "local_health": local_health,  # This container's health
-                    "containers": containers_info.get("containers", []),  # All containers
+                    "health": await monitor.get_health_summary(),
                     "requests": {
-                        "active": active_reqs,  # Aggregated from all containers
-                        "completed": completed_reqs  # Aggregated from all containers
+                        "active": monitor.get_active_requests(),
+                        "completed": monitor.get_completed_requests(limit=10)
                     },
-                    "browsers": browsers,  # Local only (not in Redis)
+                    "browsers": await monitor.get_browser_list(),
                     "timeline": {
-                        # TODO: Aggregate timeline from Redis (currently local only)
                         "memory": monitor.get_timeline_data("memory", "5m"),
                         "requests": monitor.get_timeline_data("requests", "5m"),
                         "browsers": monitor.get_timeline_data("browsers", "5m")
                     },
-                    "janitor": janitor_events,  # Aggregated from all containers
-                    "errors": errors_log  # Aggregated from all containers
+                    "janitor": monitor.get_janitor_log(limit=10),
+                    "errors": monitor.get_errors_log(limit=10)
                 }
 
                 # Send update to client

deploy/docker/server.py

@@ -200,11 +200,7 @@ async def root():
     return RedirectResponse("/playground")
 
 # ─────────────────── infra / middleware  ─────────────────────
-# Build Redis URL from environment or config
-redis_host = os.getenv("REDIS_HOST", config["redis"].get("host", "localhost"))
-redis_port = os.getenv("REDIS_PORT", config["redis"].get("port", 6379))
-redis_url = config["redis"].get("uri") or f"redis://{redis_host}:{redis_port}"
-redis = aioredis.from_url(redis_url)
+redis = aioredis.from_url(config["redis"].get("uri", "redis://localhost"))
 
 limiter = Limiter(
     key_func=get_remote_address,

deploy/docker/static/monitor/index.html

@@ -116,107 +116,74 @@
 
     <!-- Main Content -->
     <main class="flex-1 overflow-auto p-4 space-y-4">
-        <!-- System Health & Infrastructure (side by side) -->
-        <div class="grid grid-cols-2 gap-4">
-            <!-- System Health -->
-            <section class="bg-surface rounded-lg border border-border p-3">
-                <h2 class="text-sm font-medium mb-2 text-primary">System Health</h2>
+        <!-- System Health Bar -->
+        <section class="bg-surface rounded-lg border border-border p-4">
+            <h2 class="text-sm font-medium mb-3 text-primary">System Health</h2>
 
-                <!-- Row 1: CPU and Memory -->
-                <div class="grid grid-cols-2 gap-3 mb-2">
-                    <!-- CPU -->
-                    <div>
-                        <div class="flex justify-between text-xs mb-1">
-                            <span class="text-secondary">CPU</span>
-                            <span id="cpu-percent" class="text-light">--%</span>
-                        </div>
-                        <div class="w-full bg-dark rounded-full h-2">
-                            <div id="cpu-bar" class="progress-bar h-2 rounded-full bg-primary" style="width: 0%"></div>
-                        </div>
+            <div class="grid grid-cols-4 gap-4 mb-4">
+                <!-- CPU -->
+                <div>
+                    <div class="flex justify-between text-xs mb-1">
+                        <span class="text-secondary">CPU</span>
+                        <span id="cpu-percent" class="text-light">--%</span>
                     </div>
-
-                    <!-- Memory -->
-                    <div>
-                        <div class="flex justify-between text-xs mb-1">
-                            <span class="text-secondary">Memory</span>
-                            <span id="mem-percent" class="text-light">--%</span>
-                        </div>
-                        <div class="w-full bg-dark rounded-full h-2">
-                            <div id="mem-bar" class="progress-bar h-2 rounded-full bg-accent" style="width: 0%"></div>
-                        </div>
+                    <div class="w-full bg-dark rounded-full h-2">
+                        <div id="cpu-bar" class="progress-bar h-2 rounded-full bg-primary" style="width: 0%"></div>
                     </div>
                 </div>
 
-                <!-- Row 2: Network and Uptime -->
-                <div class="grid grid-cols-2 gap-3 mb-2">
-                    <!-- Network -->
-                    <div>
-                        <div class="flex justify-between text-xs mb-1">
-                            <span class="text-secondary">Network</span>
-                            <span id="net-io" class="text-light">--</span>
-                        </div>
-                        <div class="text-xs text-secondary">⬆<span id="net-sent">0</span> / ⬇<span id="net-recv">0</span> MB</div>
+                <!-- Memory -->
+                <div>
+                    <div class="flex justify-between text-xs mb-1">
+                        <span class="text-secondary">Memory</span>
+                        <span id="mem-percent" class="text-light">--%</span>
                     </div>
-
-                    <!-- Uptime -->
-                    <div>
-                        <div class="flex justify-between text-xs mb-1">
-                            <span class="text-secondary">Uptime</span>
-                            <span id="uptime" class="text-light">--</span>
-                        </div>
-                        <div class="text-xs text-secondary" id="last-update">Live: --:--:--</div>
+                    <div class="w-full bg-dark rounded-full h-2">
+                        <div id="mem-bar" class="progress-bar h-2 rounded-full bg-accent" style="width: 0%"></div>
                     </div>
                 </div>
 
-                <!-- Pool Status -->
-                <div class="border-t border-border pt-2">
-                    <div class="grid grid-cols-3 gap-3 text-xs">
-                        <div>
-                            <span class="text-secondary">🔥 Permanent:</span>
-                            <span id="pool-perm" class="text-primary ml-1">INACTIVE (0MB)</span>
-                        </div>
-                        <div>
-                            <span class="text-secondary">♨️ Hot:</span>
-                            <span id="pool-hot" class="text-accent ml-1">0 (0MB)</span>
-                        </div>
-                        <div>
-                            <span class="text-secondary">❄️ Cold:</span>
-                            <span id="pool-cold" class="text-light ml-1">0 (0MB)</span>
-                        </div>
-                    </div>
-                    <div class="mt-1 text-xs text-secondary">
-                        <span>Janitor: </span><span id="janitor-status">adaptive</span> |
-                        <span>Memory pressure: </span><span id="mem-pressure">LOW</span>
+                <!-- Network -->
+                <div>
+                    <div class="flex justify-between text-xs mb-1">
+                        <span class="text-secondary">Network</span>
+                        <span id="net-io" class="text-light">--</span>
                     </div>
+                    <div class="text-xs text-secondary">⬆<span id="net-sent">0</span> MB / ⬇<span id="net-recv">0</span> MB</div>
                 </div>
-            </section>
 
-            <!-- Infrastructure Section -->
-            <section id="containers-section" class="bg-surface rounded-lg border border-border p-3" style="display: none;">
-            <div class="flex items-center justify-between mb-3">
-                <h2 class="text-sm font-medium text-primary">📦 Infrastructure</h2>
-                <div class="flex items-center space-x-2">
-                    <span class="text-xs text-secondary">Mode:</span>
-                    <span id="deployment-mode" class="text-xs text-primary font-medium">single</span>
-                    <span class="text-xs text-secondary">|</span>
-                    <span class="text-xs text-secondary">Containers:</span>
-                    <span id="container-count" class="text-xs text-accent font-medium">1</span>
+                <!-- Uptime -->
+                <div>
+                    <div class="flex justify-between text-xs mb-1">
+                        <span class="text-secondary">Uptime</span>
+                        <span id="uptime" class="text-light">--</span>
+                    </div>
+                    <div class="text-xs text-secondary" id="last-update">Updated: never</div>
                 </div>
             </div>
 
-            <!-- Container Filter Buttons -->
-            <div id="container-filters" class="flex flex-wrap gap-2 mb-3">
-                <button class="container-filter-btn px-3 py-1 rounded text-xs bg-primary text-dark font-medium" data-container="all">
-                    All
-                </button>
-            </div>
-
-            <!-- Container Grid -->
-            <div id="containers-grid" class="grid grid-cols-3 gap-3 text-xs">
-                <!-- Containers will be populated here -->
+            <!-- Pool Status -->
+            <div class="border-t border-border pt-3">
+                <div class="grid grid-cols-3 gap-4 text-xs">
+                    <div>
+                        <span class="text-secondary">🔥 Permanent:</span>
+                        <span id="pool-perm" class="text-primary ml-2">INACTIVE (0MB)</span>
+                    </div>
+                    <div>
+                        <span class="text-secondary">♨️ Hot:</span>
+                        <span id="pool-hot" class="text-accent ml-2">0 (0MB)</span>
+                    </div>
+                    <div>
+                        <span class="text-secondary">❄️ Cold:</span>
+                        <span id="pool-cold" class="text-light ml-2">0 (0MB)</span>
+                    </div>
+                </div>
+                <div class="mt-2 text-xs text-secondary">
+                    <span>Janitor: </span><span id="janitor-status">adaptive</span> |
+                    <span>Memory pressure: </span><span id="mem-pressure">LOW</span>
+                </div>
             </div>
         </section>
-        </div>
 
         <!-- Live Activity Grid (2x2) -->
         <div class="grid grid-cols-2 gap-4">
@@ -256,12 +223,11 @@
                                 <th class="py-1 pr-2">Age</th>
                                 <th class="py-1 pr-2">Used</th>
                                 <th class="py-1 pr-2">Hits</th>
-                                <th class="py-1 pr-2">Container</th>
                                 <th class="py-1">Act</th>
                             </tr>
                         </thead>
                         <tbody id="browsers-table-body">
-                            <tr><td colspan="7" class="text-center py-4 text-secondary">No browsers</td></tr>
+                            <tr><td colspan="6" class="text-center py-4 text-secondary">No browsers</td></tr>
                         </tbody>
                     </table>
                 </div>
@@ -390,16 +356,6 @@
         }
 
         function connectWebSocket() {
-            // Clean up existing connection first to prevent resource leaks
-            if (websocket) {
-                try {
-                    websocket.close();
-                } catch (e) {
-                    console.error('Error closing old WebSocket:', e);
-                }
-                websocket = null;
-            }
-
             if (wsReconnectAttempts >= MAX_WS_RECONNECT) {
                 console.log('Max WebSocket reconnect attempts reached, falling back to polling');
                 useWebSocket = false;
@@ -414,24 +370,9 @@
             const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';
             const wsUrl = `${protocol}//${window.location.host}/monitor/ws`;
 
-            try {
-                websocket = new WebSocket(wsUrl);
-            } catch (e) {
-                console.error('Failed to create WebSocket:', e);
-                setTimeout(() => connectWebSocket(), 2000 * wsReconnectAttempts);
-                return;
-            }
-
-            // Set connection timeout to prevent indefinite connection attempts
-            const connectionTimeout = setTimeout(() => {
-                if (websocket && websocket.readyState === WebSocket.CONNECTING) {
-                    console.log('WebSocket connection timeout');
-                    websocket.close();
-                }
-            }, 5000);
+            websocket = new WebSocket(wsUrl);
 
             websocket.onopen = () => {
-                clearTimeout(connectionTimeout);
                 console.log('WebSocket connected');
                 wsReconnectAttempts = 0;
                 updateConnectionStatus('connected');
@@ -444,19 +385,15 @@
             };
 
             websocket.onerror = (error) => {
-                clearTimeout(connectionTimeout);
                 console.error('WebSocket error:', error);
             };
 
-            websocket.onclose = (event) => {
-                clearTimeout(connectionTimeout);
-                console.log(`WebSocket closed: code=${event.code}, reason=${event.reason}`);
+            websocket.onclose = () => {
+                console.log('WebSocket closed');
                 updateConnectionStatus('disconnected', 'Reconnecting...');
 
-                websocket = null;  // Clear reference
-
-                if (useWebSocket && wsReconnectAttempts < MAX_WS_RECONNECT) {
-                    setTimeout(() => connectWebSocket(), 2000 * wsReconnectAttempts);
+                if (useWebSocket) {
+                    setTimeout(connectWebSocket, 2000 * wsReconnectAttempts);
                 } else {
                     startAutoRefresh();
                 }
@@ -522,28 +459,18 @@
         }
 
         function updateRequestsDisplay(requests) {
-            // Filter requests based on current container filter
-            const filteredActive = currentContainerFilter === 'all'
-                ? requests.active
-                : requests.active.filter(r => r.container_id === currentContainerFilter);
-
-            const filteredCompleted = currentContainerFilter === 'all'
-                ? requests.completed
-                : requests.completed.filter(r => r.container_id === currentContainerFilter);
-
             // Update active requests count
             const activeCount = document.getElementById('active-count');
-            if (activeCount) activeCount.textContent = filteredActive.length;
+            if (activeCount) activeCount.textContent = requests.active.length;
 
             // Update active requests list
             const activeList = document.getElementById('active-requests-list');
             if (activeList) {
-                if (filteredActive.length === 0) {
+                if (requests.active.length === 0) {
                     activeList.innerHTML = '<div class="text-secondary text-center py-2">No active requests</div>';
                 } else {
-                    activeList.innerHTML = filteredActive.map(req => `
+                    activeList.innerHTML = requests.active.map(req => `
                         <div class="flex items-center justify-between p-2 bg-dark rounded border border-border">
-                            <span class="text-accent text-xs">${getContainerLabel(req.container_id)}</span>
                             <span class="text-primary">${req.id.substring(0, 8)}</span>
                             <span class="text-secondary">${req.endpoint}</span>
                             <span class="text-light truncate max-w-[200px]" title="${req.url}">${req.url}</span>
@@ -557,12 +484,11 @@
             // Update completed requests
             const completedList = document.getElementById('completed-requests-list');
             if (completedList) {
-                if (filteredCompleted.length === 0) {
+                if (requests.completed.length === 0) {
                     completedList.innerHTML = '<div class="text-secondary text-center py-2">No completed requests</div>';
                 } else {
-                    completedList.innerHTML = filteredCompleted.map(req => `
+                    completedList.innerHTML = requests.completed.map(req => `
                         <div class="flex items-center gap-3 p-2 bg-dark rounded">
-                            <span class="text-accent text-xs w-12 flex-shrink-0">${getContainerLabel(req.container_id)}</span>
                             <span class="text-secondary w-16 flex-shrink-0">${req.id.substring(0, 8)}</span>
                             <span class="text-secondary w-16 flex-shrink-0">${req.endpoint}</span>
                             <span class="text-light truncate flex-1" title="${req.url}">${req.url}</span>
@@ -585,14 +511,6 @@
                         const typeIcon = b.type === 'permanent' ? '🔥' : b.type === 'hot' ? '♨️' : '❄️';
                         const typeColor = b.type === 'permanent' ? 'text-primary' : b.type === 'hot' ? 'text-accent' : 'text-light';
 
-                        // Check if should display based on filter
-                        const shouldDisplay = currentContainerFilter === 'all' ||
-                                            b.container_id === currentContainerFilter;
-                        if (!shouldDisplay) return '';
-
-                        // Find container label (C-1, C-2, etc)
-                        const containerLabel = getContainerLabel(b.container_id);
-
                         return `
                             <tr class="border-t border-border hover:bg-dark">
                                 <td class="py-1 pr-2"><span class="${typeColor}">${typeIcon} ${b.type}</span></td>
@@ -600,7 +518,6 @@
                                 <td class="py-1 pr-2">${formatSeconds(b.age_seconds || 0)}</td>
                                 <td class="py-1 pr-2">${formatSeconds(b.last_used_seconds || 0)}</td>
                                 <td class="py-1 pr-2">${b.hits}</td>
-                                <td class="py-1 pr-2 text-accent text-xs">${containerLabel}</td>
                                 <td class="py-1">
                                     ${b.killable ? `
                                         <button onclick="killBrowser('${b.sig}')" class="text-red-500 hover:underline text-xs">X</button>
@@ -636,23 +553,16 @@
         function updateJanitorDisplay(events) {
             const janitorLog = document.getElementById('janitor-log');
             if (janitorLog) {
-                // Filter events based on current container filter
-                const filtered = currentContainerFilter === 'all'
-                    ? events
-                    : events.filter(e => e.container_id === currentContainerFilter);
-
-                if (filtered.length === 0) {
+                if (events.length === 0) {
                     janitorLog.innerHTML = '<div class="text-secondary text-center py-4">No events yet</div>';
                 } else {
-                    janitorLog.innerHTML = filtered.slice(0, 10).reverse().map(evt => {
+                    janitorLog.innerHTML = events.slice(0, 10).reverse().map(evt => {
                         const time = new Date(evt.timestamp * 1000).toLocaleTimeString();
                         const icon = evt.type === 'close_cold' ? '🧹❄️' : evt.type === 'close_hot' ? '🧹♨️' : '⬆️';
                         const details = JSON.stringify(evt.details);
-                        const containerLabel = getContainerLabel(evt.container_id);
 
                         return `<div class="p-2 bg-dark rounded">
-                            <span class="text-accent text-xs">${containerLabel}</span>
-                            <span class="text-secondary ml-2">${time}</span>
+                            <span class="text-secondary">${time}</span>
                             <span>${icon}</span>
                             <span class="text-primary">${evt.type}</span>
                             <span class="text-secondary">sig=${evt.sig}</span>
@@ -1149,90 +1059,10 @@
             return `${m}m ${s}s`;
         }
 
-        // ========== Containers Management ==========
-        let currentContainerFilter = 'all';
-        let containerMapping = {}; // Maps container_id to label (C-1, C-2, etc)
-
-        // Helper to get container label from ID or hostname
-        function getContainerLabel(containerId) {
-            // Try direct lookup first (works for both hostname and id)
-            if (containerMapping[containerId]) {
-                return containerMapping[containerId];
-            }
-            // Fallback: show first 8 chars of container ID
-            return containerId?.substring(0, 8) || 'unknown';
-        }
-
-        async function fetchContainers() {
-            try {
-                const res = await fetch('/monitor/containers');
-                const data = await res.json();
-
-                document.getElementById('deployment-mode').textContent = data.mode;
-                document.getElementById('container-count').textContent = data.count;
-
-                // Build container ID to label mapping
-                // Use hostname as primary key (friendly name like "crawl4ai-1")
-                // Also map id for backwards compatibility
-                containerMapping = {};
-                data.containers.forEach((c, i) => {
-                    const label = `C-${i+1}`;
-                    containerMapping[c.hostname] = label;  // Map hostname
-                    containerMapping[c.id] = label;  // Also map id
-                });
-
-                // Show section only if multi-container
-                const section = document.getElementById('containers-section');
-                if (data.count > 1) {
-                    section.style.display = 'block';
-
-                    // Update filter buttons
-                    const filtersDiv = document.getElementById('container-filters');
-                    filtersDiv.innerHTML = `
-                        <button class="container-filter-btn px-3 py-1 rounded text-xs ${currentContainerFilter === 'all' ? 'bg-primary text-dark' : 'bg-dark text-secondary'} font-medium" data-container="all">All</button>
-                        ${data.containers.map((c, i) => `
-                            <button class="container-filter-btn px-3 py-1 rounded text-xs ${currentContainerFilter === c.id ? 'bg-primary text-dark' : 'bg-dark text-secondary'}" data-container="${c.id}">C-${i+1}</button>
-                        `).join('')}
-                    `;
-
-                    // Add click handlers to filter buttons
-                    document.querySelectorAll('.container-filter-btn').forEach(btn => {
-                        btn.addEventListener('click', () => {
-                            currentContainerFilter = btn.dataset.container;
-                            fetchContainers(); // Refresh to update button styles
-                            // Re-fetch all data with filter applied
-                            fetchRequests();
-                            fetchBrowsers();
-                            fetchJanitorLogs();
-                            fetchErrorLogs();
-                        });
-                    });
-
-                    // Update containers grid
-                    const grid = document.getElementById('containers-grid');
-                    grid.innerHTML = data.containers.map((c, i) => `
-                        <div class="p-3 bg-dark rounded border ${currentContainerFilter === c.id || currentContainerFilter === 'all' ? 'border-primary' : 'border-border'}">
-                            <div class="flex items-center justify-between mb-2">
-                                <span class="text-primary font-medium">C-${i+1}</span>
-                                <span class="text-xs ${c.healthy ? 'text-accent' : 'text-red-500'}">${c.healthy ? '🟢' : '🔴'}</span>
-                            </div>
-                            <div class="text-xs text-secondary truncate" title="${c.hostname}">${c.hostname}</div>
-                        </div>
-                    `).join('');
-                } else {
-                    section.style.display = 'none';
-                }
-            } catch (e) {
-                console.error('Failed to fetch containers:', e);
-            }
-        }
-
         // ========== Filter change handler ==========
         document.getElementById('filter-requests')?.addEventListener('change', fetchRequests);
 
         // ========== Initialize ==========
-        // Fetch containers info on load
-        fetchContainers();
         // Try WebSocket first, fallback to polling on failure
         connectWebSocket();
     </script>

deploy/docker/tests/cli/README.md

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

deploy/docker/tests/cli/TEST_RESULTS.md

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

deploy/docker/tests/cli/TEST_SUMMARY.md

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

deploy/docker/tests/cli/edge/test_10_rapid_operations.sh

@@ -1,72 +0,0 @@
-#!/bin/bash
-# Test: Rapid start/stop/restart operations
-# Expected: System handles rapid operations without corruption
-
-set -e
-
-echo "=== Test: Rapid Operations ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Test 1: Rapid start/stop
-echo "Test 1: Rapid start/stop cycles..."
-for i in {1..3}; do
-    echo "  Cycle $i/3..."
-    crwl server start >/dev/null 2>&1
-    sleep 3
-    crwl server stop >/dev/null 2>&1
-    sleep 2
-done
-echo "  ✅ Completed rapid start/stop cycles"
-
-# Test 2: Restart immediately after start
-echo ""
-echo "Test 2: Restart immediately after start..."
-crwl server start >/dev/null 2>&1
-sleep 3
-crwl server restart >/dev/null 2>&1
-sleep 5
-
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "  ❌ Health check failed after rapid restart"
-    crwl server stop
-    exit 1
-fi
-echo "  ✅ Rapid restart successful"
-
-# Test 3: Multiple status checks
-echo ""
-echo "Test 3: Multiple rapid status checks..."
-for i in {1..5}; do
-    crwl server status >/dev/null 2>&1 || echo "  ⚠️  Status check $i failed"
-done
-echo "  ✅ Multiple status checks completed"
-
-# Test 4: Stop and immediate start
-echo ""
-echo "Test 4: Stop and immediate start..."
-crwl server stop >/dev/null 2>&1
-sleep 2
-crwl server start >/dev/null 2>&1
-sleep 5
-
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "  ❌ Health check failed after stop/start"
-    crwl server stop
-    exit 1
-fi
-echo "  ✅ Stop/immediate start successful"
-
-# Cleanup
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: System handles rapid operations correctly"

deploy/docker/tests/cli/plan.md

@@ -1,119 +0,0 @@
-E2E CLI Test Suite Plan                                                                                     │ │
-│ │                                                                                                             │ │
-│ │ Test Structure                                                                                              │ │
-│ │                                                                                                             │ │
-│ │ Create deploy/docker/tests/cli/ folder with individual test scripts organized by category.                  │ │
-│ │                                                                                                             │ │
-│ │ Test Categories                                                                                             │ │
-│ │                                                                                                             │ │
-│ │ 1. Basic Tests (deploy/docker/tests/cli/basic/)                                                             │ │
-│ │                                                                                                             │ │
-│ │ - test_01_start_default.sh - Start server with defaults (1 replica, port 11235)                             │ │
-│ │ - test_02_status.sh - Check server status                                                                   │ │
-│ │ - test_03_stop.sh - Stop server cleanly                                                                     │ │
-│ │ - test_04_start_custom_port.sh - Start with custom port (8080)                                              │ │
-│ │ - test_05_start_replicas.sh - Start with 3 replicas                                                         │ │
-│ │ - test_06_logs.sh - View logs (tail and follow)                                                             │ │
-│ │ - test_07_restart.sh - Restart server preserving config                                                     │ │
-│ │ - test_08_cleanup.sh - Force cleanup all resources                                                          │ │
-│ │                                                                                                             │ │
-│ │ 2. Advanced Tests (deploy/docker/tests/cli/advanced/)                                                       │ │
-│ │                                                                                                             │ │
-│ │ - test_01_scale_up.sh - Scale from 3 to 5 replicas                                                          │ │
-│ │ - test_02_scale_down.sh - Scale from 5 to 2 replicas                                                        │ │
-│ │ - test_03_mode_single.sh - Start in single mode explicitly                                                  │ │
-│ │ - test_04_mode_compose.sh - Start in compose mode with 3 replicas                                           │ │
-│ │ - test_05_custom_image.sh - Start with custom image tag                                                     │ │
-│ │ - test_06_env_file.sh - Start with custom env file                                                          │ │
-│ │ - test_07_stop_remove_volumes.sh - Stop and remove volumes                                                  │ │
-│ │ - test_08_restart_with_scale.sh - Restart and change replica count                                          │ │
-│ │                                                                                                             │ │
-│ │ 3. Resource Tests (deploy/docker/tests/cli/resource/)                                                       │ │
-│ │                                                                                                             │ │
-│ │ - test_01_memory_monitoring.sh - Monitor memory during crawls                                               │ │
-│ │ - test_02_cpu_stress.sh - CPU usage under concurrent load                                                   │ │
-│ │ - test_03_max_replicas.sh - Start with 10 replicas and stress test                                          │ │
-│ │ - test_04_cleanup_verification.sh - Verify all resources cleaned up                                         │ │
-│ │ - test_05_long_running.sh - Stability test (30 min runtime)                                                 │ │
-│ │                                                                                                             │ │
-│ │ 4. Dashboard UI Tests (deploy/docker/tests/cli/dashboard/)                                                  │ │
-│ │                                                                                                             │ │
-│ │ - test_01_dashboard_ui.py - Playwright test with screenshots                                                │ │
-│ │   - Start server with 3 replicas                                                                            │ │
-│ │   - Run demo_monitor_dashboard.py script                                                                    │ │
-│ │   - Use Playwright to:                                                                                      │ │
-│ │       - Take screenshot of main dashboard                                                                   │ │
-│ │     - Verify container filter buttons (All, C-1, C-2, C-3)                                                  │ │
-│ │     - Test WebSocket connection indicator                                                                   │ │
-│ │     - Verify timeline charts render                                                                         │ │
-│ │     - Test filtering functionality                                                                          │ │
-│ │     - Check all tabs (Requests, Browsers, Janitor, Errors, Stats)                                           │ │
-│ │                                                                                                             │ │
-│ │ 5. Edge Cases (deploy/docker/tests/cli/edge/)                                                               │ │
-│ │                                                                                                             │ │
-│ │ - test_01_already_running.sh - Try starting when already running                                            │ │
-│ │ - test_02_not_running.sh - Try stop/status when not running                                                 │ │
-│ │ - test_03_scale_single_mode.sh - Try scaling single container mode                                          │ │
-│ │ - test_04_invalid_port.sh - Invalid port numbers (0, -1, 99999)                                             │ │
-│ │ - test_05_invalid_replicas.sh - Invalid replica counts (0, -1, 101)                                         │ │
-│ │ - test_06_missing_env_file.sh - Non-existent env file                                                       │ │
-│ │ - test_07_port_in_use.sh - Port already occupied                                                            │ │
-│ │ - test_08_state_corruption.sh - Manually corrupt state file                                                 │ │
-│ │ - test_09_network_conflict.sh - Docker network name collision                                               │ │
-│ │ - test_10_rapid_operations.sh - Start/stop/restart in quick succession                                      │ │
-│ │                                                                                                             │ │
-│ │ Test Execution Plan                                                                                         │ │
-│ │                                                                                                             │ │
-│ │ Process:                                                                                                    │ │
-│ │                                                                                                             │ │
-│ │ 1. Create test file                                                                                         │ │
-│ │ 2. Run test                                                                                                 │ │
-│ │ 3. Verify results                                                                                           │ │
-│ │ 4. If fails → fix issue → re-test                                                                           │ │
-│ │ 5. Move to next test                                                                                        │ │
-│ │ 6. Clean up after each test to ensure clean state                                                           │ │
-│ │                                                                                                             │ │
-│ │ Common Test Structure:                                                                                      │ │
-│ │                                                                                                             │ │
-│ │ #!/bin/bash                                                                                                 │ │
-│ │ # Test: [Description]                                                                                       │ │
-│ │ # Expected: [What should happen]                                                                            │ │
-│ │                                                                                                             │ │
-│ │ source venv/bin/activate                                                                                    │ │
-│ │ set -e  # Exit on error                                                                                     │ │
-│ │                                                                                                             │ │
-│ │ echo "=== Test: [Name] ==="                                                                                 │ │
-│ │                                                                                                             │ │
-│ │ # Setup                                                                                                     │ │
-│ │ # ... test commands ...                                                                                     │ │
-│ │                                                                                                             │ │
-│ │ # Verification                                                                                              │ │
-│ │ # ... assertions ...                                                                                        │ │
-│ │                                                                                                             │ │
-│ │ # Cleanup                                                                                                   │ │
-│ │ crwl server stop || true                                                                                    │ │
-│ │                                                                                                             │ │
-│ │ echo "✓ Test passed"                                                                                        │ │
-│ │                                                                                                             │ │
-│ │ Dashboard Test Structure (Python):                                                                          │ │
-│ │                                                                                                             │ │
-│ │ # Activate venv first in calling script                                                                     │ │
-│ │ import asyncio                                                                                              │ │
-│ │ from playwright.async_api import async_playwright                                                           │ │
-│ │                                                                                                             │ │
-│ │ async def test_dashboard():                                                                                 │ │
-│ │     # Start server with 3 replicas                                                                          │ │
-│ │     # Run demo script in background                                                                         │ │
-│ │     # Launch Playwright                                                                                     │ │
-│ │     # Take screenshots                                                                                      │ │
-│ │     # Verify elements                                                                                       │ │
-│ │     # Cleanup                                                                                               │ │
-│ │                                                                                                             │ │
-│ │ Success Criteria:                                                                                           │ │
-│ │                                                                                                             │ │
-│ │ - All basic operations work correctly                                                                       │ │
-│ │ - Scaling operations function properly                                                                      │ │
-│ │ - Resource limits are respected                                                                             │ │
-│ │ - Dashboard UI is functional and responsive                                                                 │ │
-│ │ - Edge cases handled gracefully with proper error messages                                                  │ │
-│ │ - Clean resource cleanup verified

deploy/docker/tests/cli/resource/test_01_memory_monitoring.sh

@@ -1,63 +0,0 @@
-#!/bin/bash
-# Test: Monitor memory usage during crawl operations
-# Expected: Memory stats are accessible and reasonable
-
-set -e
-
-echo "=== Test: Memory Monitoring ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start server
-echo "Starting server..."
-crwl server start >/dev/null 2>&1
-sleep 5
-
-# Get baseline memory
-echo "Checking baseline memory..."
-BASELINE=$(curl -s http://localhost:11235/monitor/health | jq -r '.container.memory_percent' 2>/dev/null || echo "0")
-echo "Baseline memory: ${BASELINE}%"
-
-# Make several crawl requests
-echo ""
-echo "Making crawl requests to increase memory usage..."
-for i in {1..5}; do
-    echo "  Request $i/5..."
-    curl -s -X POST http://localhost:11235/crawl \
-      -H "Content-Type: application/json" \
-      -d "{\"urls\": [\"https://httpbin.org/html?req=$i\"], \"crawler_config\": {}}" > /dev/null || true
-    sleep 1
-done
-
-# Check memory after requests
-echo ""
-echo "Checking memory after requests..."
-AFTER=$(curl -s http://localhost:11235/monitor/health | jq -r '.container.memory_percent' 2>/dev/null || echo "0")
-echo "Memory after requests: ${AFTER}%"
-
-# Get browser pool stats
-echo ""
-echo "Browser pool memory usage..."
-POOL_MEM=$(curl -s http://localhost:11235/monitor/browsers | jq -r '.summary.total_memory_mb' 2>/dev/null || echo "0")
-echo "Browser pool: ${POOL_MEM} MB"
-
-# Verify memory is within reasonable bounds (<80%)
-MEMORY_OK=$(echo "$AFTER < 80" | bc -l 2>/dev/null || echo "1")
-if [[ "$MEMORY_OK" != "1" ]]; then
-    echo "⚠️  Warning: Memory usage is high: ${AFTER}%"
-fi
-
-# Cleanup
-echo ""
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Memory monitoring functional"
-echo "   Baseline: ${BASELINE}%, After: ${AFTER}%, Pool: ${POOL_MEM} MB"

deploy/docker/tests/cli/resource/test_02_cpu_stress.sh

@@ -1,61 +0,0 @@
-#!/bin/bash
-# Test: CPU usage under concurrent load
-# Expected: Server handles concurrent requests without errors
-
-set -e
-
-echo "=== Test: CPU Stress Test ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start server with 3 replicas for better load distribution
-echo "Starting server with 3 replicas..."
-crwl server start --replicas 3 >/dev/null 2>&1
-sleep 12
-
-# Get baseline CPU
-echo "Checking baseline container stats..."
-docker stats --no-stream --format "table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}" \
-  --filter "name=crawl4ai" 2>/dev/null || echo "Unable to get container stats"
-
-# Send concurrent requests
-echo ""
-echo "Sending 10 concurrent requests..."
-for i in {1..10}; do
-    curl -s -X POST http://localhost:11235/crawl \
-      -H "Content-Type: application/json" \
-      -d "{\"urls\": [\"https://httpbin.org/html?req=$i\"], \"crawler_config\": {}}" > /dev/null &
-done
-
-# Wait for all requests to complete
-echo "Waiting for requests to complete..."
-wait
-
-# Check stats after load
-echo ""
-echo "Container stats after load:"
-docker stats --no-stream --format "table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}" \
-  --filter "name=crawl4ai" 2>/dev/null || echo "Unable to get container stats"
-
-# Verify health
-echo ""
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed after CPU stress"
-    crwl server stop
-    exit 1
-fi
-
-# Cleanup
-echo ""
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Server handled concurrent load successfully"

deploy/docker/tests/cli/resource/test_03_max_replicas.sh

@@ -1,72 +0,0 @@
-#!/bin/bash
-# Test: Start with maximum replicas and stress test
-# Expected: Server handles max replicas (10) and distributes load
-
-set -e
-
-echo "=== Test: Maximum Replicas Stress Test ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start with 10 replicas (max recommended)
-echo "Starting server with 10 replicas..."
-echo "This may take some time..."
-crwl server start --replicas 10 >/dev/null 2>&1
-sleep 20
-
-# Verify status
-echo "Checking status..."
-STATUS=$(crwl server status)
-if ! echo "$STATUS" | grep -q "10"; then
-    echo "❌ Failed to start 10 replicas"
-    crwl server stop
-    exit 1
-fi
-
-# Wait for container discovery
-echo ""
-echo "Waiting for container discovery..."
-sleep 10
-
-# Check containers
-CONTAINER_COUNT=$(curl -s http://localhost:11235/monitor/containers | jq -r '.count' 2>/dev/null || echo "0")
-echo "Discovered containers: $CONTAINER_COUNT"
-
-# Send burst of requests
-echo ""
-echo "Sending burst of 20 requests..."
-for i in {1..20}; do
-    curl -s -X POST http://localhost:11235/crawl \
-      -H "Content-Type: application/json" \
-      -d "{\"urls\": [\"https://httpbin.org/html?req=$i\"], \"crawler_config\": {}}" > /dev/null &
-done
-
-wait
-
-# Check health after stress
-echo ""
-HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-if [[ "$HEALTH" != "ok" ]]; then
-    echo "❌ Health check failed after max replica stress"
-    crwl server stop
-    exit 1
-fi
-
-# Check endpoint stats
-echo ""
-echo "Endpoint statistics:"
-curl -s http://localhost:11235/monitor/endpoints/stats | jq '.' 2>/dev/null || echo "No stats available"
-
-# Cleanup
-echo ""
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-echo ""
-echo "✅ Test passed: Successfully stress tested with 10 replicas"

deploy/docker/tests/cli/resource/test_04_cleanup_verification.sh

@@ -1,63 +0,0 @@
-#!/bin/bash
-# Test: Verify complete resource cleanup
-# Expected: All Docker resources are properly removed
-
-set -e
-
-echo "=== Test: Resource Cleanup Verification ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Start server to create resources
-echo "Starting server with 3 replicas..."
-crwl server start --replicas 3 >/dev/null 2>&1
-sleep 10
-
-# List resources before cleanup
-echo ""
-echo "Resources before cleanup:"
-echo "Containers:"
-docker ps --filter "name=crawl4ai" --format "  - {{.Names}}" 2>/dev/null || echo "  None"
-docker ps --filter "name=nginx" --format "  - {{.Names}}" 2>/dev/null || echo "  None"
-docker ps --filter "name=redis" --format "  - {{.Names}}" 2>/dev/null || echo "  None"
-
-echo ""
-echo "Networks:"
-docker network ls --filter "name=crawl4ai" --format "  - {{.Name}}" 2>/dev/null || echo "  None"
-
-# Cleanup
-echo ""
-echo "Performing cleanup..."
-crwl server cleanup --force >/dev/null 2>&1
-sleep 5
-
-# Verify cleanup
-echo ""
-echo "Verifying cleanup..."
-
-CONTAINERS=$(docker ps -a --filter "name=crawl4ai" --format "{{.Names}}" 2>/dev/null || echo "")
-if [[ -n "$CONTAINERS" ]]; then
-    echo "❌ Found remaining crawl4ai containers: $CONTAINERS"
-    exit 1
-fi
-
-NGINX=$(docker ps -a --filter "name=nginx" --format "{{.Names}}" 2>/dev/null || echo "")
-if [[ -n "$NGINX" ]]; then
-    echo "⚠️  Warning: Nginx container still exists: $NGINX"
-fi
-
-REDIS=$(docker ps -a --filter "name=redis" --format "{{.Names}}" 2>/dev/null || echo "")
-if [[ -n "$REDIS" ]]; then
-    echo "⚠️  Warning: Redis container still exists: $REDIS"
-fi
-
-# Verify port is free
-if curl -s http://localhost:11235/health > /dev/null 2>&1; then
-    echo "❌ Port 11235 still in use after cleanup"
-    exit 1
-fi
-
-echo ""
-echo "✅ Test passed: All Crawl4AI resources properly cleaned up"

deploy/docker/tests/cli/resource/test_05_long_running.sh

@@ -1,99 +0,0 @@
-#!/bin/bash
-# Test: Long-running stability test (5 minutes)
-# Expected: Server remains stable over extended period
-
-set -e
-
-echo "=== Test: Long-Running Stability (5 minutes) ==="
-echo ""
-
-PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../../../" && pwd)"
-source "$PROJECT_ROOT/venv/bin/activate"
-
-# Cleanup
-crwl server stop 2>/dev/null || true
-sleep 2
-
-# Start server
-echo "Starting server with 2 replicas..."
-crwl server start --replicas 2 >/dev/null 2>&1
-sleep 10
-
-# Get start time
-START_TIME=$(date +%s)
-DURATION=300  # 5 minutes in seconds
-REQUEST_COUNT=0
-ERROR_COUNT=0
-
-echo ""
-echo "Running stability test for 5 minutes..."
-echo "Making periodic requests every 10 seconds..."
-echo ""
-
-while true; do
-    CURRENT_TIME=$(date +%s)
-    ELAPSED=$((CURRENT_TIME - START_TIME))
-
-    if [[ $ELAPSED -ge $DURATION ]]; then
-        break
-    fi
-
-    REMAINING=$((DURATION - ELAPSED))
-    echo "[$ELAPSED/$DURATION seconds] Remaining: ${REMAINING}s, Requests: $REQUEST_COUNT, Errors: $ERROR_COUNT"
-
-    # Make a request
-    if curl -s -X POST http://localhost:11235/crawl \
-        -H "Content-Type: application/json" \
-        -d '{"urls": ["https://httpbin.org/html"], "crawler_config": {}}' > /dev/null 2>&1; then
-        REQUEST_COUNT=$((REQUEST_COUNT + 1))
-    else
-        ERROR_COUNT=$((ERROR_COUNT + 1))
-        echo "  ⚠️  Request failed"
-    fi
-
-    # Check health every 30 seconds
-    if [[ $((ELAPSED % 30)) -eq 0 ]]; then
-        HEALTH=$(curl -s http://localhost:11235/health | jq -r '.status' 2>/dev/null || echo "error")
-        if [[ "$HEALTH" != "ok" ]]; then
-            echo "  ❌ Health check failed!"
-            ERROR_COUNT=$((ERROR_COUNT + 1))
-        fi
-
-        # Get memory stats
-        MEM=$(curl -s http://localhost:11235/monitor/health | jq -r '.container.memory_percent' 2>/dev/null || echo "N/A")
-        echo "  Memory: ${MEM}%"
-    fi
-
-    sleep 10
-done
-
-echo ""
-echo "Test duration completed!"
-echo "Total requests: $REQUEST_COUNT"
-echo "Total errors: $ERROR_COUNT"
-
-# Get final stats
-echo ""
-echo "Final statistics:"
-curl -s http://localhost:11235/monitor/endpoints/stats | jq '.' 2>/dev/null || echo "No stats available"
-
-# Verify error rate is acceptable (<10%)
-ERROR_RATE=$(echo "scale=2; $ERROR_COUNT * 100 / $REQUEST_COUNT" | bc -l 2>/dev/null || echo "0")
-echo ""
-echo "Error rate: ${ERROR_RATE}%"
-
-# Cleanup
-echo ""
-echo "Cleaning up..."
-crwl server stop >/dev/null 2>&1
-
-# Check error rate
-ERROR_OK=$(echo "$ERROR_RATE < 10" | bc -l 2>/dev/null || echo "1")
-if [[ "$ERROR_OK" != "1" ]]; then
-    echo "❌ Error rate too high: ${ERROR_RATE}%"
-    exit 1
-fi
-
-echo ""
-echo "✅ Test passed: Server remained stable over 5 minutes"
-echo "   Requests: $REQUEST_COUNT, Errors: $ERROR_COUNT, Error rate: ${ERROR_RATE}%"

deploy/docker/tests/cli/run_tests.sh

@@ -1,200 +0,0 @@
-#!/bin/bash
-# Master Test Runner for Crawl4AI CLI E2E Tests
-# Usage: ./run_tests.sh [category] [test_number]
-#   category: basic|advanced|resource|dashboard|edge|all (default: all)
-#   test_number: specific test number to run (optional)
-
-set -e
-
-# Color codes for output
-RED='\033[0;31m'
-GREEN='\033[0;32m'
-YELLOW='\033[1;33m'
-BLUE='\033[0;34m'
-NC='\033[0m' # No Color
-
-# Test counters
-TOTAL_TESTS=0
-PASSED_TESTS=0
-FAILED_TESTS=0
-SKIPPED_TESTS=0
-
-# Get script directory
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-
-# Print header
-print_header() {
-    echo ""
-    echo "=========================================="
-    echo "$1"
-    echo "=========================================="
-    echo ""
-}
-
-# Print test result
-print_result() {
-    local test_name=$1
-    local result=$2
-
-    if [[ "$result" == "PASS" ]]; then
-        echo -e "${GREEN}✅ PASS${NC}: $test_name"
-        PASSED_TESTS=$((PASSED_TESTS + 1))
-    elif [[ "$result" == "FAIL" ]]; then
-        echo -e "${RED}❌ FAIL${NC}: $test_name"
-        FAILED_TESTS=$((FAILED_TESTS + 1))
-    elif [[ "$result" == "SKIP" ]]; then
-        echo -e "${YELLOW}⏭️  SKIP${NC}: $test_name"
-        SKIPPED_TESTS=$((SKIPPED_TESTS + 1))
-    fi
-}
-
-# Run a single test
-run_test() {
-    local test_path=$1
-    local test_name=$(basename "$test_path")
-
-    echo ""
-    echo -e "${BLUE}Running:${NC} $test_name"
-    echo "----------------------------------------"
-
-    TOTAL_TESTS=$((TOTAL_TESTS + 1))
-
-    if bash "$test_path"; then
-        print_result "$test_name" "PASS"
-        return 0
-    else
-        print_result "$test_name" "FAIL"
-        return 1
-    fi
-}
-
-# Run Python test
-run_python_test() {
-    local test_path=$1
-    local test_name=$(basename "$test_path")
-
-    echo ""
-    echo -e "${BLUE}Running:${NC} $test_name"
-    echo "----------------------------------------"
-
-    TOTAL_TESTS=$((TOTAL_TESTS + 1))
-
-    if python "$test_path"; then
-        print_result "$test_name" "PASS"
-        return 0
-    else
-        print_result "$test_name" "FAIL"
-        return 1
-    fi
-}
-
-# Run tests in a category
-run_category() {
-    local category=$1
-    local test_number=$2
-    local category_dir="$SCRIPT_DIR/$category"
-
-    if [[ ! -d "$category_dir" ]]; then
-        echo -e "${RED}Error:${NC} Category '$category' not found"
-        return 1
-    fi
-
-    print_header "Running $category tests"
-
-    if [[ -n "$test_number" ]]; then
-        # Run specific test
-        local test_file=$(find "$category_dir" -name "*${test_number}*.sh" | head -n 1)
-        if [[ -z "$test_file" ]]; then
-            echo -e "${RED}Error:${NC} Test $test_number not found in $category"
-            return 1
-        fi
-        run_test "$test_file"
-    else
-        # Run all tests in category
-        if [[ "$category" == "dashboard" ]]; then
-            # Dashboard tests are Python
-            for test_file in "$category_dir"/*.py; do
-                [[ -f "$test_file" ]] || continue
-                run_python_test "$test_file" || true
-            done
-        else
-            # Shell script tests
-            for test_file in "$category_dir"/*.sh; do
-                [[ -f "$test_file" ]] || continue
-                run_test "$test_file" || true
-            done
-        fi
-    fi
-}
-
-# Print summary
-print_summary() {
-    echo ""
-    echo "=========================================="
-    echo "Test Summary"
-    echo "=========================================="
-    echo -e "Total:   $TOTAL_TESTS"
-    echo -e "${GREEN}Passed:  $PASSED_TESTS${NC}"
-    echo -e "${RED}Failed:  $FAILED_TESTS${NC}"
-    echo -e "${YELLOW}Skipped: $SKIPPED_TESTS${NC}"
-    echo ""
-
-    if [[ $FAILED_TESTS -eq 0 ]]; then
-        echo -e "${GREEN}✅ All tests passed!${NC}"
-        return 0
-    else
-        echo -e "${RED}❌ Some tests failed${NC}"
-        return 1
-    fi
-}
-
-# Main execution
-main() {
-    local category=${1:-all}
-    local test_number=$2
-
-    # Activate virtual environment
-    if [[ -f "venv/bin/activate" ]]; then
-        source venv/bin/activate
-    else
-        echo -e "${YELLOW}Warning:${NC} venv not found, some tests may fail"
-    fi
-
-    print_header "Crawl4AI CLI E2E Test Suite"
-
-    if [[ "$category" == "all" ]]; then
-        # Run all categories
-        for cat in basic advanced resource edge; do
-            run_category "$cat" || true
-        done
-        # Dashboard tests separately (can be slow)
-        echo ""
-        echo -e "${YELLOW}Note:${NC} Dashboard tests can be run separately with: ./run_tests.sh dashboard"
-    else
-        run_category "$category" "$test_number"
-    fi
-
-    print_summary
-}
-
-# Show usage
-if [[ "$1" == "-h" || "$1" == "--help" ]]; then
-    echo "Usage: $0 [category] [test_number]"
-    echo ""
-    echo "Categories:"
-    echo "  basic      - Basic CLI operations (8 tests)"
-    echo "  advanced   - Advanced features (8 tests)"
-    echo "  resource   - Resource monitoring and stress tests (5 tests)"
-    echo "  dashboard  - Dashboard UI tests with Playwright (1 test)"
-    echo "  edge       - Edge cases and error handling (10 tests)"
-    echo "  all        - Run all tests except dashboard (default)"
-    echo ""
-    echo "Examples:"
-    echo "  $0                    # Run all tests"
-    echo "  $0 basic              # Run all basic tests"
-    echo "  $0 basic 01           # Run test_01 from basic"
-    echo "  $0 dashboard          # Run dashboard UI test"
-    exit 0
-fi
-
-main "$@"

deploy/docker/utils.py

@@ -203,51 +203,4 @@ def get_container_memory_percent() -> float:
     except:
         # Non-container or unsupported: fallback to host
         import psutil
-        return psutil.virtual_memory().percent
-
-
-def get_container_id() -> str:
-    """Get current container ID (hostname in Docker)."""
-    import socket
-    return socket.gethostname()
-
-
-def detect_deployment_mode() -> tuple[str, list[dict]]:
-    """Detect if running in single/swarm/compose mode and get container list.
-
-    Returns:
-        (mode, containers) where mode is "single"|"swarm"|"compose"
-        containers is list of {id, hostname, healthy}
-    """
-    import socket
-    my_hostname = socket.gethostname()
-
-    # Check if we're behind nginx (Compose mode indicator)
-    # In Compose, service name resolves to multiple IPs
-    try:
-        import socket as sock
-        # Try to resolve "crawl4ai" service name (Compose service)
-        try:
-            addrs = sock.getaddrinfo("crawl4ai", None)
-            unique_ips = set(addr[4][0] for addr in addrs)
-            if len(unique_ips) > 1:
-                # Multiple IPs = Compose with replicas
-                containers = [
-                    {"id": f"container-{i+1}", "hostname": f"crawl4ai-{i+1}", "healthy": True}
-                    for i in range(len(unique_ips))
-                ]
-                return "compose", containers
-        except:
-            pass
-
-        # Check for Swarm mode (TODO: needs swarm-specific detection)
-        # For now, if hostname pattern matches swarm, detect it
-        if "." in my_hostname and len(my_hostname.split(".")) > 2:
-            # Swarm hostname format: service.slot.task_id
-            return "swarm", [{"id": my_hostname, "hostname": my_hostname, "healthy": True}]
-
-    except:
-        pass
-
-    # Default: single container
-    return "single", [{"id": my_hostname, "hostname": my_hostname, "healthy": True}]
+        return psutil.virtual_memory().percent

deploy/installer/QUICKSTART.md

@@ -1,147 +0,0 @@
-# Crawl4AI cnode - Quick Start Cheat Sheet
-
-Fast reference for getting started with cnode.
-
----
-
-## 📥 Install
-
-```bash
-# Install cnode
-curl -sSL https://raw.githubusercontent.com/unclecode/crawl4ai/main/deploy/installer/install-cnode.sh | bash
-```
-
----
-
-## 🚀 Launch Cluster
-
-```bash
-# Single server (development)
-cnode start
-
-# Production cluster with 5 replicas
-cnode start --replicas 5
-
-# Custom port
-cnode start --replicas 3 --port 8080
-```
-
----
-
-## 📊 Check Status
-
-```bash
-# View server status
-cnode status
-
-# View logs
-cnode logs -f
-```
-
----
-
-## ⚙️ Scale Cluster
-
-```bash
-# Scale to 10 replicas (live, no downtime)
-cnode scale 10
-
-# Scale down to 2
-cnode scale 2
-```
-
----
-
-## 🔄 Restart/Stop
-
-```bash
-# Restart server
-cnode restart
-
-# Stop server
-cnode stop
-```
-
----
-
-## 🌐 Test the API
-
-```bash
-# Simple test - crawl example.com
-curl -X POST http://localhost:11235/crawl \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"],
-    "priority": 10
-  }'
-
-# Pretty print with jq
-curl -X POST http://localhost:11235/crawl \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"],
-    "priority": 10
-  }' | jq '.result.markdown' -r
-
-# Health check
-curl http://localhost:11235/health
-```
-
----
-
-## 📱 Monitor Dashboard
-
-```bash
-# Open in browser
-open http://localhost:11235/monitor
-
-# Or playground
-open http://localhost:11235/playground
-```
-
----
-
-## 🐍 Python Example
-
-```python
-import requests
-
-response = requests.post(
-    "http://localhost:11235/crawl",
-    json={
-        "urls": ["https://example.com"],
-        "priority": 10
-    }
-)
-
-result = response.json()
-print(result['result']['markdown'])
-```
-
----
-
-## 🎯 Common Commands
-
-| Command | Description |
-|---------|-------------|
-| `cnode start` | Start server |
-| `cnode start -r 5` | Start with 5 replicas |
-| `cnode status` | Check status |
-| `cnode scale 10` | Scale to 10 replicas |
-| `cnode logs -f` | Follow logs |
-| `cnode restart` | Restart server |
-| `cnode stop` | Stop server |
-| `cnode --help` | Show all commands |
-
----
-
-## 📚 Full Documentation
-
-- **User Guide:** `deploy/installer/USER_GUIDE.md`
-- **Developer Docs:** `deploy/installer/README.md`
-- **Docker Guide:** `deploy/docker/README.md`
-- **Agent Context:** `deploy/docker/AGENT.md`
-
----
-
-**That's it!** You're ready to crawl at scale 🚀

deploy/installer/README.md

@@ -1,345 +0,0 @@
-# Crawl4AI Node Manager (cnode) - Installation & Distribution
-
-This directory contains the standalone `cnode` package and installation scripts for managing Crawl4AI Docker server instances.
-
-## Overview
-
-`cnode` is a fast, lightweight CLI tool for managing Crawl4AI Docker servers. It provides:
-- One-command deployment with automatic scaling
-- Single container for development (N=1)
-- Docker Swarm for production with built-in load balancing (N>1)
-- Docker Compose + Nginx as fallback (N>1)
-
-## Directory Structure
-
-```
-deploy/installer/
-├── README.md                 # This file
-├── cnode_pkg/                # Standalone Python package
-│   ├── __init__.py           # Package marker
-│   ├── cli.py                # CLI interface (commands)
-│   ├── server_manager.py     # Docker orchestration logic
-│   └── requirements.txt      # Python dependencies
-├── install-cnode.sh          # Local installation script
-├── install-cnode.sh                 # Remote installation script (for users)
-└── releases/                 # Release artifacts for distribution
-```
-
-## Installation
-
-### For Users (Remote Installation)
-
-Users can install `cnode` directly from the web:
-
-```bash
-# Install from GitHub/website
-curl -sSL https://crawl4ai.com/install-cnode.sh | bash
-
-# Or with wget
-wget -qO- https://crawl4ai.com/install-cnode.sh | bash
-```
-
-### For Local Testing
-
-Test the installation locally:
-
-```bash
-cd deploy/installer
-./install-cnode.sh
-```
-
-## Package Contents
-
-### `cnode_pkg/` - Python Package
-
-This is a self-contained Python package with:
-
-- **`cli.py`**: Click-based CLI with all commands (start, stop, status, scale, logs, cleanup, restart)
-- **`server_manager.py`**: Core Docker orchestration logic
-- **`requirements.txt`**: Dependencies (click, rich, anyio, pyyaml)
-- **`__init__.py`**: Package initialization
-
-### Installation Script
-
-**`install-cnode.sh`** does the following:
-1. Checks for Python 3.8+ and pip
-2. Checks for Docker (warns if not found)
-3. Installs Python dependencies
-4. Copies `cnode_pkg/` to `/usr/local/lib/cnode/`
-5. Creates wrapper script at `/usr/local/bin/cnode`
-6. Verifies installation
-
-### Wrapper Script
-
-Created at `/usr/local/bin/cnode`:
-
-```bash
-#!/usr/bin/env bash
-set -e
-
-# Find Python
-if command -v python3 &> /dev/null; then
-    PYTHON_CMD="python3"
-elif command -v python &> /dev/null; then
-    PYTHON_CMD="python"
-else
-    echo "Error: Python 3.8+ required" >&2
-    exit 1
-fi
-
-# Run cnode
-export PYTHONPATH="/usr/local/lib/cnode:$PYTHONPATH"
-exec $PYTHON_CMD -m cnode_pkg.cli "$@"
-```
-
-## Performance
-
-**Blazing Fast Startup:**
-- **~0.1 seconds** to launch
-- 49x faster than compiled binary alternatives
-- Minimal overhead, maximum responsiveness
-
-## Requirements
-
-### User Requirements
-- Python 3.8 or higher
-- pip (Python package manager)
-- Docker (for running servers)
-
-### Dependencies (Auto-installed)
-- click >= 8.0.0 (CLI framework)
-- rich >= 13.0.0 (Terminal formatting)
-- anyio >= 3.0.0 (Async I/O)
-- pyyaml >= 6.0.0 (YAML parsing)
-
-## Usage
-
-After installation:
-
-```bash
-# Quick start
-cnode start                    # Single container on port 11235
-cnode start --replicas 5       # 5-replica cluster
-cnode status                   # Check server status
-cnode logs -f                  # Follow logs
-cnode scale 10                 # Scale to 10 replicas
-cnode stop                     # Stop server
-
-# Get help
-cnode --help
-cnode start --help
-```
-
-## Development Workflow
-
-### Making Changes
-
-1. **Edit source code** in `deploy/docker/`:
-   ```bash
-   vim deploy/docker/cnode_cli.py
-   vim deploy/docker/server_manager.py
-   ```
-
-2. **Update package** by copying to installer:
-   ```bash
-   # Copy CLI
-   cp deploy/docker/cnode_cli.py deploy/installer/cnode_pkg/cli.py
-
-   # Fix imports (deploy.docker → cnode_pkg)
-   sed -i 's/from deploy\.docker\./from cnode_pkg./g' deploy/installer/cnode_pkg/cli.py
-
-   # Copy server manager
-   cp deploy/docker/server_manager.py deploy/installer/cnode_pkg/server_manager.py
-   ```
-
-3. **Test locally**:
-   ```bash
-   cd deploy/installer
-   ./install-cnode.sh
-   cnode --help
-   ```
-
-4. **Commit both**:
-   ```bash
-   git add deploy/docker/cnode_cli.py
-   git add deploy/installer/cnode_pkg/cli.py
-   git commit -m "Update cnode: [description]"
-   ```
-
-### Creating a Release
-
-1. **Tag the release**:
-   ```bash
-   git tag -a v1.0.0 -m "Release v1.0.0"
-   git push origin v1.0.0
-   ```
-
-2. **Package for distribution**:
-   ```bash
-   cd deploy/installer
-   tar -czf releases/cnode-v1.0.0.tar.gz cnode_pkg/ install-cnode.sh
-   ```
-
-3. **Create GitHub release**:
-   ```bash
-   gh release create v1.0.0 \
-     releases/cnode-v1.0.0.tar.gz \
-     --title "cnode v1.0.0" \
-     --notes "Release notes here"
-   ```
-
-4. **Update deployment script** (if needed):
-   - Update `install-cnode.sh` with new version/URL
-   - Upload to hosting (e.g., `https://crawl4ai.com/install-cnode.sh`)
-
-## Deployment
-
-### Remote Installation Script
-
-The `install-cnode.sh` script is meant to be hosted at a public URL for user installation:
-
-```bash
-# Upload to your server
-scp install-cnode.sh user@crawl4ai.com:/var/www/html/install-cnode.sh
-
-# Or use GitHub raw URL
-https://raw.githubusercontent.com/unclecode/crawl4ai/main/deploy/installer/install-cnode.sh
-```
-
-Users can then install with:
-```bash
-curl -sSL https://crawl4ai.com/install-cnode.sh | bash
-```
-
-## Backward Compatibility
-
-The main Crawl4AI CLI (`crwl`) includes a redirect for backward compatibility:
-
-```bash
-# These work identically:
-crwl server start --replicas 3
-cnode start --replicas 3
-
-# All subcommands redirect:
-crwl server status  → cnode status
-crwl server stop    → cnode stop
-crwl server scale 5 → cnode scale 5
-crwl server logs -f → cnode logs -f
-```
-
-This ensures existing scripts continue working while users migrate to `cnode`.
-
-## Uninstallation
-
-To remove cnode:
-
-```bash
-# Remove command
-sudo rm /usr/local/bin/cnode
-
-# Remove package
-sudo rm -rf /usr/local/lib/cnode
-
-# (Optional) Uninstall dependencies
-pip uninstall click rich anyio pyyaml
-```
-
-## Troubleshooting
-
-### Python Not Found
-```bash
-# Install Python 3.8+
-# macOS: brew install python3
-# Ubuntu: sudo apt install python3 python3-pip
-# RHEL/CentOS: sudo yum install python3 python3-pip
-```
-
-### Permission Denied
-```bash
-# Run installer with sudo
-sudo ./install-cnode.sh
-
-# Or change install location
-INSTALL_DIR=$HOME/.local/bin ./install-cnode.sh
-```
-
-### Command Not Found After Install
-```bash
-# Add to PATH in ~/.bashrc or ~/.zshrc
-export PATH="/usr/local/bin:$PATH"
-
-# Reload shell
-source ~/.bashrc  # or source ~/.zshrc
-```
-
-### Dependencies Install Failed
-```bash
-# Install manually
-pip install --user click rich anyio pyyaml
-
-# Or with break-system-packages (if needed)
-pip install --user --break-system-packages click rich anyio pyyaml
-```
-
-### Docker Not Running
-```bash
-# macOS: Start Docker Desktop
-# Linux: sudo systemctl start docker
-
-# Check Docker
-docker --version
-docker ps
-```
-
-## Architecture
-
-### Component Flow
-
-```
-User runs: cnode start
-         ↓
-/usr/local/bin/cnode (wrapper script)
-         ↓
-Finds python3 executable
-         ↓
-Sets PYTHONPATH=/usr/local/lib/cnode
-         ↓
-python3 -m cnode_pkg.cli start
-         ↓
-cli.py → start_cmd()
-         ↓
-server_manager.py → ServerManager.start()
-         ↓
-Docker orchestration (single/swarm/compose)
-         ↓
-Server running!
-```
-
-### Why Python Wrapper vs Binary?
-
-We chose a Python wrapper over compiled binaries (PyInstaller) because:
-
-| Metric | Python Wrapper | PyInstaller Binary |
-|--------|---------------|-------------------|
-| Startup time | **0.1s** | 4.7s |
-| Size | ~50KB wrapper | 8.8MB |
-| Updates | Easy (just copy files) | Rebuild required |
-| Dependencies | Python 3.8+ | None |
-| Platform | Any with Python | OS-specific builds |
-
-Since users running Crawl4AI already have Python, the wrapper is the clear winner.
-
-## Support
-
-For issues or questions:
-- GitHub Issues: https://github.com/unclecode/crawl4ai/issues
-- Documentation: https://docs.crawl4ai.com
-- Discord: https://discord.gg/crawl4ai
-
-## Version History
-
-- **v1.0.0**: Initial release with Python wrapper approach
-  - Fast startup (~0.1s)
-  - Supports single container, Docker Swarm, and Compose modes
-  - Auto-scaling and load balancing
-  - Real-time monitoring and logs

deploy/installer/USER_GUIDE.md

@@ -1,676 +0,0 @@
-# Crawl4AI Node Manager (cnode) - User Guide 🚀
-
-Self-host your own Crawl4AI server cluster with one command. Scale from development to production effortlessly.
-
-## Table of Contents
-- [What is cnode?](#what-is-cnode)
-- [Quick Start](#quick-start)
-- [Installation](#installation)
-- [Basic Usage](#basic-usage)
-- [Scaling & Production](#scaling--production)
-- [Monitoring Dashboard](#monitoring-dashboard)
-- [Using the API](#using-the-api)
-- [Management Commands](#management-commands)
-- [Troubleshooting](#troubleshooting)
-- [Advanced Topics](#advanced-topics)
-
----
-
-## What is cnode?
-
-**cnode** (Crawl4AI Node Manager) is a CLI tool that manages Crawl4AI Docker server instances with automatic scaling and load balancing.
-
-### Key Features
-
-✅ **One-Command Deployment** - Start a server or cluster instantly
-✅ **Automatic Scaling** - Single container or multi-replica cluster
-✅ **Built-in Load Balancing** - Docker Swarm or Nginx (auto-detected)
-✅ **Real-time Monitoring** - Beautiful web dashboard
-✅ **Zero Configuration** - Works out of the box
-✅ **Production Ready** - Auto-scaling, health checks, rolling updates
-
-### Architecture Modes
-
-| Replicas | Mode | Load Balancer | Use Case |
-|----------|------|---------------|----------|
-| 1 | Single Container | None | Development, testing |
-| 2+ | Docker Swarm | Built-in | Production (if Swarm available) |
-| 2+ | Docker Compose | Nginx | Production (fallback) |
-
----
-
-## Quick Start
-
-### 1. Install cnode
-
-```bash
-# One-line installation
-curl -sSL https://crawl4ai.com/install-cnode.sh | bash
-```
-
-**Requirements:**
-- Python 3.8+
-- Docker
-- Git
-
-### 2. Start Your First Server
-
-```bash
-# Start single development server
-cnode start
-
-# Or start a production cluster with 5 replicas
-cnode start --replicas 5
-```
-
-That's it! Your server is running at **http://localhost:11235** 🎉
-
----
-
-## Installation
-
-### Method 1: Quick Install (Recommended)
-
-```bash
-# From crawl4ai.com (when hosted)
-curl -sSL https://crawl4ai.com/install-cnode.sh | bash
-
-# Or directly from GitHub
-curl -sSL https://raw.githubusercontent.com/unclecode/crawl4ai/main/deploy/installer/install-cnode.sh | bash
-```
-
-### Method 2: Clone Repository (For Development)
-
-```bash
-# Clone the repository
-git clone https://github.com/unclecode/crawl4ai.git
-cd crawl4ai/deploy/installer
-
-# Run installer
-./install-cnode.sh
-```
-
-### Method 3: Custom Location
-
-```bash
-# Install to custom directory (using GitHub raw URL)
-INSTALL_DIR=$HOME/.local/bin curl -sSL https://raw.githubusercontent.com/unclecode/crawl4ai/main/deploy/installer/install-cnode.sh | bash
-
-# Add to PATH
-export PATH="$HOME/.local/bin:$PATH"
-```
-
-### Verify Installation
-
-```bash
-cnode --help
-```
-
----
-
-## Basic Usage
-
-### Start Server
-
-```bash
-# Development server (1 replica)
-cnode start
-
-# Production cluster (5 replicas with auto-scaling)
-cnode start --replicas 5
-
-# Custom port
-cnode start --port 8080
-
-# Specific Docker image
-cnode start --image unclecode/crawl4ai:0.7.0
-```
-
-### Check Status
-
-```bash
-cnode status
-```
-
-**Example Output:**
-```
-╭─────────────────── Crawl4AI Server Status ───────────────────╮
-│ Status     │ 🟢 Running                                      │
-│ Mode       │ swarm                                           │
-│ Replicas   │ 5                                               │
-│ Port       │ 11235                                           │
-│ Image      │ unclecode/crawl4ai:latest                       │
-│ Uptime     │ 2 hours 34 minutes                              │
-│ Started    │ 2025-10-21 14:30:00                            │
-╰─────────────────────────────────────────────────────────────╯
-
-✓ Server is healthy
-Access: http://localhost:11235
-```
-
-### View Logs
-
-```bash
-# Show last 100 lines
-cnode logs
-
-# Follow logs in real-time
-cnode logs -f
-
-# Show last 500 lines
-cnode logs --tail 500
-```
-
-### Stop Server
-
-```bash
-# Stop server (keeps data)
-cnode stop
-
-# Stop and remove all data
-cnode stop --remove-volumes
-```
-
----
-
-## Scaling & Production
-
-### Scale Your Cluster
-
-```bash
-# Scale to 10 replicas (live, no downtime)
-cnode scale 10
-
-# Scale down to 2 replicas
-cnode scale 2
-```
-
-**Note:** Scaling is live for Swarm/Compose modes. Single container mode requires restart.
-
-### Production Deployment
-
-```bash
-# Start production cluster
-cnode start --replicas 5 --port 11235
-
-# Verify health
-curl http://localhost:11235/health
-
-# Monitor performance
-cnode logs -f
-```
-
-### Restart Server
-
-```bash
-# Restart with same configuration
-cnode restart
-
-# Restart with new replica count
-cnode restart --replicas 10
-```
-
----
-
-## Monitoring Dashboard
-
-### Access the Dashboard
-
-Once your server is running, access the real-time monitoring dashboard:
-
-```bash
-# Dashboard URL
-http://localhost:11235/monitor
-```
-
-### Dashboard Features
-
-📊 **Real-time Metrics**
-- Requests per second
-- Active connections
-- Response times
-- Error rates
-
-📈 **Performance Graphs**
-- CPU usage
-- Memory consumption
-- Request latency
-- Throughput
-
-🔍 **System Health**
-- Container status
-- Replica health
-- Load distribution
-- Resource utilization
-
-![Monitor Dashboard](https://crawl4ai.com/images/monitor-dashboard.png)
-
-### API Health Endpoint
-
-```bash
-# Quick health check
-curl http://localhost:11235/health
-
-# Response
-{
-  "status": "healthy",
-  "version": "1.0.0",
-  "uptime": 9876,
-  "containers": 5
-}
-```
-
----
-
-## Using the API
-
-### Interactive Playground
-
-Test the API interactively:
-
-```
-http://localhost:11235/playground
-```
-
-### Basic Crawl Example
-
-**Python:**
-
-```python
-import requests
-
-# Simple crawl
-response = requests.post(
-    "http://localhost:11235/crawl",
-    json={
-        "urls": ["https://example.com"],
-        "browser_config": {
-            "type": "BrowserConfig",
-            "params": {"headless": True}
-        },
-        "crawler_config": {
-            "type": "CrawlerRunConfig",
-            "params": {"cache_mode": "bypass"}
-        }
-    }
-)
-
-result = response.json()
-print(f"Title: {result['result']['metadata']['title']}")
-print(f"Content: {result['result']['markdown'][:200]}...")
-```
-
-**cURL:**
-
-```bash
-curl -X POST http://localhost:11235/crawl \
-  -H "Content-Type: application/json" \
-  -d '{
-    "urls": ["https://example.com"],
-    "browser_config": {
-      "type": "BrowserConfig",
-      "params": {"headless": true}
-    },
-    "crawler_config": {
-      "type": "CrawlerRunConfig",
-      "params": {"cache_mode": "bypass"}
-    }
-  }'
-```
-
-**JavaScript (Node.js):**
-
-```javascript
-const axios = require('axios');
-
-async function crawl() {
-  const response = await axios.post('http://localhost:11235/crawl', {
-    urls: ['https://example.com'],
-    browser_config: {
-      type: 'BrowserConfig',
-      params: { headless: true }
-    },
-    crawler_config: {
-      type: 'CrawlerRunConfig',
-      params: { cache_mode: 'bypass' }
-    }
-  });
-
-  console.log('Title:', response.data.result.metadata.title);
-  console.log('Content:', response.data.result.markdown.substring(0, 200));
-}
-
-crawl();
-```
-
-### Advanced Examples
-
-**Extract with CSS Selectors:**
-
-```python
-import requests
-
-response = requests.post(
-    "http://localhost:11235/crawl",
-    json={
-        "urls": ["https://news.ycombinator.com"],
-        "browser_config": {
-            "type": "BrowserConfig",
-            "params": {"headless": True}
-        },
-        "crawler_config": {
-            "type": "CrawlerRunConfig",
-            "params": {
-                "extraction_strategy": {
-                    "type": "JsonCssExtractionStrategy",
-                    "params": {
-                        "schema": {
-                            "type": "dict",
-                            "value": {
-                                "baseSelector": ".athing",
-                                "fields": [
-                                    {"name": "title", "selector": ".titleline > a", "type": "text"},
-                                    {"name": "url", "selector": ".titleline > a", "type": "attribute", "attribute": "href"},
-                                    {"name": "points", "selector": ".score", "type": "text"}
-                                ]
-                            }
-                        }
-                    }
-                }
-            }
-        }
-    }
-)
-
-articles = response.json()['result']['extracted_content']
-for article in articles:
-    print(f"{article['title']} - {article['points']}")
-```
-
-**Streaming Multiple URLs:**
-
-```python
-import requests
-import json
-
-response = requests.post(
-    "http://localhost:11235/crawl/stream",
-    json={
-        "urls": [
-            "https://example.com",
-            "https://httpbin.org/html",
-            "https://python.org"
-        ],
-        "browser_config": {
-            "type": "BrowserConfig",
-            "params": {"headless": True}
-        },
-        "crawler_config": {
-            "type": "CrawlerRunConfig",
-            "params": {"stream": True}
-        }
-    },
-    stream=True
-)
-
-for line in response.iter_lines():
-    if line:
-        data = json.loads(line)
-        if data.get("status") == "completed":
-            break
-        print(f"Crawled: {data['url']} - Success: {data['success']}")
-```
-
-### Additional Endpoints
-
-**Screenshot:**
-```bash
-curl -X POST http://localhost:11235/screenshot \
-  -H "Content-Type: application/json" \
-  -d '{"url": "https://example.com"}' \
-  --output screenshot.png
-```
-
-**PDF Export:**
-```bash
-curl -X POST http://localhost:11235/pdf \
-  -H "Content-Type: application/json" \
-  -d '{"url": "https://example.com"}' \
-  --output page.pdf
-```
-
-**HTML Extraction:**
-```bash
-curl -X POST http://localhost:11235/html \
-  -H "Content-Type: application/json" \
-  -d '{"url": "https://example.com"}'
-```
-
----
-
-## Management Commands
-
-### All Available Commands
-
-```bash
-cnode --help              # Show help
-cnode start [OPTIONS]     # Start server
-cnode stop [OPTIONS]      # Stop server
-cnode status              # Show status
-cnode scale N             # Scale to N replicas
-cnode logs [OPTIONS]      # View logs
-cnode restart [OPTIONS]   # Restart server
-cnode cleanup [--force]   # Clean up resources
-```
-
-### Command Options
-
-**start:**
-```bash
---replicas, -r N      # Number of replicas (default: 1)
---mode MODE           # Deployment mode: auto, single, swarm, compose
---port, -p PORT       # External port (default: 11235)
---env-file FILE       # Environment file path
---image IMAGE         # Docker image (default: unclecode/crawl4ai:latest)
-```
-
-**stop:**
-```bash
---remove-volumes      # Remove persistent data (WARNING: deletes data)
-```
-
-**logs:**
-```bash
---follow, -f          # Follow log output (like tail -f)
---tail N              # Number of lines to show (default: 100)
-```
-
-**scale:**
-```bash
-N                     # Target replica count (minimum: 1)
-```
-
----
-
-## Troubleshooting
-
-### Server Won't Start
-
-```bash
-# Check Docker is running
-docker ps
-
-# Check port availability
-lsof -i :11235
-
-# Check logs for errors
-cnode logs
-```
-
-### High Memory Usage
-
-```bash
-# Check current status
-cnode status
-
-# Restart to clear memory
-cnode restart
-
-# Scale down if needed
-cnode scale 2
-```
-
-### Slow Response Times
-
-```bash
-# Scale up for better performance
-cnode scale 10
-
-# Check system resources
-docker stats
-```
-
-### Cannot Connect to API
-
-```bash
-# Verify server is running
-cnode status
-
-# Check firewall
-sudo ufw status
-
-# Test locally
-curl http://localhost:11235/health
-```
-
-### Clean Slate
-
-```bash
-# Complete cleanup and restart
-cnode cleanup --force
-cnode start --replicas 5
-```
-
----
-
-## Advanced Topics
-
-### Environment Variables
-
-Create `.env` file for API keys:
-
-```bash
-# .env file
-OPENAI_API_KEY=sk-your-key
-ANTHROPIC_API_KEY=your-key
-```
-
-Use with cnode:
-```bash
-cnode start --env-file .env --replicas 3
-```
-
-### Custom Docker Image
-
-```bash
-# Use specific version
-cnode start --image unclecode/crawl4ai:0.7.0-r1
-
-# Use custom registry
-cnode start --image myregistry.com/crawl4ai:custom
-```
-
-### Production Best Practices
-
-1. **Use Multiple Replicas**
-   ```bash
-   cnode start --replicas 5
-   ```
-
-2. **Monitor Regularly**
-   ```bash
-   # Set up monitoring cron
-   */5 * * * * cnode status | mail -s "Crawl4AI Status" admin@example.com
-   ```
-
-3. **Regular Log Rotation**
-   ```bash
-   cnode logs --tail 1000 > crawl4ai.log
-   cnode restart
-   ```
-
-4. **Resource Limits**
-   - Ensure adequate RAM (2GB per replica minimum)
-   - Monitor disk space for cached data
-   - Use SSD for better performance
-
-### Integration Examples
-
-**With Python App:**
-```python
-from crawl4ai.docker_client import Crawl4aiDockerClient
-
-async def main():
-    async with Crawl4aiDockerClient(base_url="http://localhost:11235") as client:
-        results = await client.crawl(["https://example.com"])
-        print(results[0].markdown)
-```
-
-**With Node.js:**
-```javascript
-const Crawl4AI = require('crawl4ai-client');
-const client = new Crawl4AI('http://localhost:11235');
-
-client.crawl('https://example.com')
-  .then(result => console.log(result.markdown));
-```
-
-**With REST API:**
-Any language with HTTP client support can use the API!
-
----
-
-## Getting Help
-
-### Resources
-
-- 📖 [Full Documentation](https://docs.crawl4ai.com)
-- 🐛 [Report Issues](https://github.com/unclecode/crawl4ai/issues)
-- 💬 [Discord Community](https://discord.gg/crawl4ai)
-- 📺 [Video Tutorials](https://youtube.com/@crawl4ai)
-
-### Common Questions
-
-**Q: How many replicas should I use?**
-A: Start with 1 for development. Use 3-5 for production. Scale based on load.
-
-**Q: What's the difference between Swarm and Compose mode?**
-A: Swarm has built-in load balancing (faster). Compose uses Nginx (fallback if Swarm unavailable).
-
-**Q: Can I run multiple cnode instances?**
-A: Yes! Use different ports: `cnode start --port 8080`
-
-**Q: How do I update to the latest version?**
-A: Pull new image: `cnode stop && docker pull unclecode/crawl4ai:latest && cnode start`
-
----
-
-## Summary
-
-You now know how to:
-- ✅ Install cnode with one command
-- ✅ Start and manage Crawl4AI servers
-- ✅ Scale from 1 to 100+ replicas
-- ✅ Monitor performance in real-time
-- ✅ Use the API from any language
-- ✅ Troubleshoot common issues
-
-**Ready to crawl at scale!** 🚀
-
-For detailed Docker configuration and advanced deployment options, see the [Docker Guide](../docker/README.md).
-
----
-
-**Happy Crawling!** 🕷️
-
-*Made with ❤️ by the Crawl4AI team*

deploy/installer/cnode_pkg/__init__.py

@@ -1,5 +0,0 @@
-"""
-Crawl4AI Node Manager (cnode) - Docker server orchestration CLI
-"""
-
-__version__ = "1.0.0"

deploy/installer/cnode_pkg/cli.py

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

deploy/installer/cnode_pkg/requirements.txt

@@ -1,4 +0,0 @@
-click>=8.0.0
-rich>=13.0.0
-anyio>=3.0.0
-pyyaml>=6.0.0

deploy/installer/install-cnode.sh

@@ -1,171 +0,0 @@
-#!/bin/bash
-# Crawl4AI Node Manager (cnode) Remote Installation Script
-# Usage: curl -sSL https://crawl4ai.com/install-cnode.sh | bash
-# Or: wget -qO- https://crawl4ai.com/install-cnode.sh | bash
-
-set -e
-
-# Colors
-RED='\033[0;31m'
-GREEN='\033[0;32m'
-YELLOW='\033[1;33m'
-BLUE='\033[0;34m'
-NC='\033[0m'
-
-# Configuration
-INSTALL_DIR="${INSTALL_DIR:-/usr/local/bin}"
-LIB_DIR="${LIB_DIR:-/usr/local/lib/cnode}"
-GITHUB_REPO="unclecode/crawl4ai"
-BRANCH="${CNODE_BRANCH:-main}"
-
-echo -e "${GREEN}╔══════════════════════════════════════════════════════════════╗${NC}"
-echo -e "${GREEN}║   Crawl4AI Node Manager (cnode) Installation Script         ║${NC}"
-echo -e "${GREEN}╚══════════════════════════════════════════════════════════════╝${NC}\n"
-
-# Check Python
-echo -e "${BLUE}Checking Python installation...${NC}"
-if command -v python3 &> /dev/null; then
-    PYTHON_CMD="python3"
-elif command -v python &> /dev/null; then
-    PYTHON_CMD="python"
-else
-    echo -e "${RED}Error: Python 3.8+ is required but not found${NC}"
-    echo -e "${YELLOW}Install from: https://www.python.org/downloads/${NC}"
-    exit 1
-fi
-
-# Check Python version
-PYTHON_VERSION=$($PYTHON_CMD -c 'import sys; print(f"{sys.version_info.major}.{sys.version_info.minor}")')
-echo -e "${GREEN}✓ Found Python $PYTHON_VERSION${NC}"
-
-if [ "$(printf '%s\n' "3.8" "$PYTHON_VERSION" | sort -V | head -n1)" != "3.8" ]; then
-    echo -e "${RED}Error: Python 3.8+ required, found $PYTHON_VERSION${NC}"
-    exit 1
-fi
-
-# Check pip
-if ! $PYTHON_CMD -m pip --version &> /dev/null; then
-    echo -e "${RED}Error: pip is required${NC}"
-    echo -e "${YELLOW}Install pip: $PYTHON_CMD -m ensurepip${NC}"
-    exit 1
-fi
-echo -e "${GREEN}✓ pip is available${NC}"
-
-# Check Docker
-echo -e "\n${BLUE}Checking Docker...${NC}"
-if ! command -v docker &> /dev/null; then
-    echo -e "${YELLOW}⚠️  Docker not found (required for running servers)${NC}"
-    echo -e "${YELLOW}Install from: https://docs.docker.com/get-docker/${NC}\n"
-else
-    echo -e "${GREEN}✓ Docker is installed${NC}"
-fi
-
-# Check permissions
-USE_SUDO=""
-if [ ! -w "$INSTALL_DIR" ] || [ ! -w "/usr/local" ]; then
-    echo -e "\n${YELLOW}⚠️  Root permission required for installation${NC}"
-    USE_SUDO="sudo"
-fi
-
-# Create temp directory
-TMP_DIR="$(mktemp -d)"
-cd "$TMP_DIR"
-
-# Download only cnode_pkg from GitHub using sparse checkout
-echo -e "\n${BLUE}Downloading cnode package from GitHub...${NC}"
-
-if ! command -v git &> /dev/null; then
-    echo -e "${RED}Error: git is required but not found${NC}"
-    echo -e "${YELLOW}Install git and try again${NC}"
-    rm -rf "$TMP_DIR"
-    exit 1
-fi
-
-# Initialize sparse checkout
-git init -q
-git remote add origin "https://github.com/$GITHUB_REPO.git"
-git config core.sparseCheckout true
-
-# Only checkout the cnode_pkg directory
-echo "deploy/installer/cnode_pkg/*" > .git/info/sparse-checkout
-
-# Pull only the needed files
-if ! git pull -q --depth=1 origin "$BRANCH"; then
-    echo -e "${RED}Error: Failed to download package${NC}"
-    rm -rf "$TMP_DIR"
-    exit 1
-fi
-
-if [ ! -d "deploy/installer/cnode_pkg" ]; then
-    echo -e "${RED}Error: Package directory not found${NC}"
-    rm -rf "$TMP_DIR"
-    exit 1
-fi
-
-echo -e "${GREEN}✓ Package downloaded${NC}"
-
-REPO_DIR="."
-
-# Install Python dependencies
-echo -e "\n${BLUE}Installing Python dependencies...${NC}"
-$PYTHON_CMD -m pip install --quiet --user -r "$REPO_DIR/deploy/installer/cnode_pkg/requirements.txt" 2>/dev/null || \
-$PYTHON_CMD -m pip install --quiet --user --break-system-packages -r "$REPO_DIR/deploy/installer/cnode_pkg/requirements.txt" 2>/dev/null || {
-    echo -e "${YELLOW}⚠️  Could not install dependencies with pip${NC}"
-    echo -e "${YELLOW}Trying to continue anyway (dependencies may already be installed)${NC}"
-}
-echo -e "${GREEN}✓ Dependencies check complete${NC}"
-
-# Install cnode package
-echo -e "\n${BLUE}Installing cnode package...${NC}"
-$USE_SUDO mkdir -p "$LIB_DIR"
-$USE_SUDO cp -r "$REPO_DIR/deploy/installer/cnode_pkg" "$LIB_DIR/"
-echo -e "${GREEN}✓ Package installed to $LIB_DIR${NC}"
-
-# Create wrapper script
-echo -e "\n${BLUE}Creating cnode command...${NC}"
-$USE_SUDO tee "$INSTALL_DIR/cnode" > /dev/null << 'EOF'
-#!/usr/bin/env bash
-# Crawl4AI Node Manager (cnode) wrapper
-
-set -e
-
-# Find Python
-if command -v python3 &> /dev/null; then
-    PYTHON_CMD="python3"
-elif command -v python &> /dev/null; then
-    PYTHON_CMD="python"
-else
-    echo "Error: Python 3.8+ required" >&2
-    exit 1
-fi
-
-# Add cnode to Python path and run
-export PYTHONPATH="/usr/local/lib/cnode:$PYTHONPATH"
-exec $PYTHON_CMD -m cnode_pkg.cli "$@"
-EOF
-
-$USE_SUDO chmod +x "$INSTALL_DIR/cnode"
-echo -e "${GREEN}✓ cnode command created${NC}"
-
-# Cleanup
-rm -rf "$TMP_DIR"
-
-echo -e "\n${GREEN}✓ Installation complete${NC}"
-
-# Success message
-echo -e "\n${GREEN}╔══════════════════════════════════════════════════════════════╗${NC}"
-echo -e "${GREEN}║              Installation Complete!                          ║${NC}"
-echo -e "${GREEN}╚══════════════════════════════════════════════════════════════╝${NC}\n"
-
-echo -e "${BLUE}cnode is now installed and ready!${NC}\n"
-
-echo -e "${YELLOW}Quick Start:${NC}"
-echo -e "  ${GREEN}cnode start${NC}                    # Start single server"
-echo -e "  ${GREEN}cnode start --replicas 5${NC}       # Start 5-replica cluster"
-echo -e "  ${GREEN}cnode status${NC}                   # Check status"
-echo -e "  ${GREEN}cnode logs -f${NC}                  # Follow logs"
-echo -e "  ${GREEN}cnode stop${NC}                     # Stop server"
-
-echo -e "\n${YELLOW}More help:${NC}"
-echo -e "  ${BLUE}cnode --help${NC}"
-echo -e "  ${BLUE}https://github.com/$GITHUB_REPO${NC}\n"

deploy/installer/sync-cnode.sh

@@ -1,33 +0,0 @@
-#!/bin/bash
-# Sync cnode source code to installer package
-# Run this before committing changes to cnode
-
-set -e
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-SOURCE_DIR="$SCRIPT_DIR/../docker"
-PKG_DIR="$SCRIPT_DIR/cnode_pkg"
-
-echo "🔄 Syncing cnode source to package..."
-
-# Copy CLI
-echo "  → Copying cnode_cli.py to cli.py"
-cp "$SOURCE_DIR/cnode_cli.py" "$PKG_DIR/cli.py"
-
-# Fix imports
-echo "  → Fixing imports (deploy.docker → cnode_pkg)"
-sed -i '' 's/from deploy\.docker\./from cnode_pkg./g' "$PKG_DIR/cli.py"
-
-# Copy server manager
-echo "  → Copying server_manager.py"
-cp "$SOURCE_DIR/server_manager.py" "$PKG_DIR/server_manager.py"
-
-echo "✅ Sync complete!"
-echo ""
-echo "Files updated:"
-echo "  • deploy/installer/cnode_pkg/cli.py"
-echo "  • deploy/installer/cnode_pkg/server_manager.py"
-echo ""
-echo "Next steps:"
-echo "  1. Test: cd deploy/installer && ./install-cnode.sh"
-echo "  2. Commit both source and package files"

docker-compose.yml

@@ -1,18 +1,44 @@
 version: '3.8'
 
+# Shared configuration for all environments
+x-base-config: &base-config
+  ports:
+    - "11235:11235"  # Gunicorn port
+  env_file:
+    - .llm.env       # API keys (create from .llm.env.example)
+  # Uncomment to set default environment variables (will overwrite .llm.env)
+  # environment:
+  #   - OPENAI_API_KEY=${OPENAI_API_KEY:-}
+  #   - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}
+  #   - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
+  #   - GROQ_API_KEY=${GROQ_API_KEY:-}
+  #   - TOGETHER_API_KEY=${TOGETHER_API_KEY:-}
+  #   - MISTRAL_API_KEY=${MISTRAL_API_KEY:-}
+  #   - GEMINI_API_KEY=${GEMINI_API_KEY:-}
+  #   - LLM_PROVIDER=${LLM_PROVIDER:-}  # Optional: Override default provider (e.g., "anthropic/claude-3-opus")
+  volumes:
+    - /dev/shm:/dev/shm  # Chromium performance
+  deploy:
+    resources:
+      limits:
+        memory: 4G
+      reservations:
+        memory: 1G
+  restart: unless-stopped
+  healthcheck:
+    test: ["CMD", "curl", "-f", "http://localhost:11235/health"]
+    interval: 30s
+    timeout: 10s
+    retries: 3
+    start_period: 40s
+  user: "appuser"
+
 services:
-  redis:
-    image: redis:alpine
-    command: redis-server --appendonly yes
-    volumes:
-      - redis_data:/data
-    networks:
-      - crawl4ai_net
-    restart: unless-stopped
-
   crawl4ai:
+    # 1. Default: Pull multi-platform test image from Docker Hub
+    # 2. Override with local image via: IMAGE=local-test docker compose up
     image: ${IMAGE:-unclecode/crawl4ai:${TAG:-latest}}
-
+    
     # Local build config (used with --build)
     build:
       context: .
@@ -20,58 +46,6 @@ services:
       args:
         INSTALL_TYPE: ${INSTALL_TYPE:-default}
         ENABLE_GPU: ${ENABLE_GPU:-false}
-
-    # No ports exposed - access via nginx only
-    env_file:
-      - .llm.env
-    environment:
-      - OPENAI_API_KEY=${OPENAI_API_KEY:-}
-      - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}
-      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
-      - GROQ_API_KEY=${GROQ_API_KEY:-}
-      - TOGETHER_API_KEY=${TOGETHER_API_KEY:-}
-      - MISTRAL_API_KEY=${MISTRAL_API_KEY:-}
-      - GEMINI_API_TOKEN=${GEMINI_API_TOKEN:-}
-      - LLM_PROVIDER=${LLM_PROVIDER:-}
-      - REDIS_HOST=redis
-      - REDIS_PORT=6379
-    volumes:
-      - /dev/shm:/dev/shm  # Chromium performance
-    deploy:
-      replicas: 3  # Default to 3 replicas (can override with --scale)
-      resources:
-        limits:
-          memory: 4G
-        reservations:
-          memory: 1G
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:11235/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 40s
-    user: "appuser"
-    depends_on:
-      - redis
-    networks:
-      - crawl4ai_net
-
-  nginx:
-    image: nginx:alpine
-    ports:
-      - "11235:80"  # Expose port 11235 to host
-    volumes:
-      - ./crawl4ai/templates/nginx.conf.template:/etc/nginx/nginx.conf:ro
-    depends_on:
-      - crawl4ai
-    networks:
-      - crawl4ai_net
-    restart: unless-stopped
-
-networks:
-  crawl4ai_net:
-    driver: bridge
-
-volumes:
-  redis_data:
+    
+    # Inherit shared config
+    <<: *base-config

docs/blog/release-v0.7.7.md

@@ -0,0 +1,626 @@
+# 🚀 Crawl4AI v0.7.7: The Self-Hosting & Monitoring Update
+
+*November 14, 2025 • 10 min read*
+
+---
+
+Today I'm releasing Crawl4AI v0.7.7—the Self-Hosting & Monitoring Update. This release transforms Crawl4AI Docker from a simple containerized crawler into a complete self-hosting platform with enterprise-grade real-time monitoring, full operational transparency, and production-ready observability.
+
+## 🎯 What's New at a Glance
+
+- **📊 Real-time Monitoring Dashboard**: Interactive web UI with live system metrics and browser pool status
+- **🔌 Comprehensive Monitor API**: Complete REST API for programmatic access to all monitoring data
+- **⚡ WebSocket Streaming**: Real-time updates every 2 seconds for custom dashboards
+- **🎮 Control Actions**: Manual browser management (kill, restart, cleanup)
+- **🔥 Smart Browser Pool**: 3-tier architecture (permanent/hot/cold) with automatic promotion
+- **🧹 Janitor Cleanup System**: Automatic resource management with event logging
+- **📈 Production Metrics**: 6 critical metrics for operational excellence
+- **🏭 Integration Ready**: Prometheus, alerting, and log aggregation examples
+- **🐛 Critical Bug Fixes**: Async LLM extraction, DFS crawling, viewport config, and more
+
+## 📊 Real-time Monitoring Dashboard: Complete Visibility
+
+**The Problem:** Running Crawl4AI in Docker was like flying blind. Users had no visibility into what was happening inside the container—memory usage, active requests, browser pools, or errors. Troubleshooting required checking logs, and there was no way to monitor performance or manually intervene when issues occurred.
+
+**My Solution:** I built a complete real-time monitoring system with an interactive dashboard, comprehensive REST API, WebSocket streaming, and manual control actions. Now you have full transparency and control over your crawling infrastructure.
+
+### The Self-Hosting Value Proposition
+
+Before v0.7.7, Docker was just a containerized crawler. After v0.7.7, it's a complete self-hosting platform that gives you:
+
+- **🔒 Data Privacy**: Your data never leaves your infrastructure
+- **💰 Cost Control**: No per-request pricing or rate limits
+- **🎯 Full Customization**: Complete control over configurations and strategies
+- **📊 Complete Transparency**: Real-time visibility into every aspect
+- **⚡ Performance**: Direct access without network overhead
+- **🛡️ Enterprise Security**: Keep workflows behind your firewall
+
+### Interactive Monitoring Dashboard
+
+Access the dashboard at `http://localhost:11235/dashboard` to see:
+
+- **System Health Overview**: CPU, memory, network, and uptime in real-time
+- **Live Request Tracking**: Active and completed requests with full details
+- **Browser Pool Management**: Interactive table with permanent/hot/cold browsers
+- **Janitor Events Log**: Automatic cleanup activities
+- **Error Monitoring**: Full context error logs
+
+The dashboard updates every 2 seconds via WebSocket, giving you live visibility into your crawling operations.
+
+## 🔌 Monitor API: Programmatic Access
+
+**The Problem:** Monitoring dashboards are great for humans, but automation and integration require programmatic access.
+
+**My Solution:** A comprehensive REST API that exposes all monitoring data for integration with your existing infrastructure.
+
+### System Health Endpoint
+
+```python
+import httpx
+import asyncio
+
+async def monitor_system_health():
+    async with httpx.AsyncClient() as client:
+        response = await client.get("http://localhost:11235/monitor/health")
+        health = response.json()
+
+        print(f"Container Metrics:")
+        print(f"  CPU: {health['container']['cpu_percent']:.1f}%")
+        print(f"  Memory: {health['container']['memory_percent']:.1f}%")
+        print(f"  Uptime: {health['container']['uptime_seconds']}s")
+
+        print(f"\nBrowser Pool:")
+        print(f"  Permanent: {health['pool']['permanent']['active']} active")
+        print(f"  Hot Pool: {health['pool']['hot']['count']} browsers")
+        print(f"  Cold Pool: {health['pool']['cold']['count']} browsers")
+
+        print(f"\nStatistics:")
+        print(f"  Total Requests: {health['stats']['total_requests']}")
+        print(f"  Success Rate: {health['stats']['success_rate_percent']:.1f}%")
+        print(f"  Avg Latency: {health['stats']['avg_latency_ms']:.0f}ms")
+
+asyncio.run(monitor_system_health())
+```
+
+### Request Tracking
+
+```python
+async def track_requests():
+    async with httpx.AsyncClient() as client:
+        response = await client.get("http://localhost:11235/monitor/requests")
+        requests_data = response.json()
+
+        print(f"Active Requests: {len(requests_data['active'])}")
+        print(f"Completed Requests: {len(requests_data['completed'])}")
+
+        # See details of recent requests
+        for req in requests_data['completed'][:5]:
+            status_icon = "✅" if req['success'] else "❌"
+            print(f"{status_icon} {req['endpoint']} - {req['latency_ms']:.0f}ms")
+```
+
+### Browser Pool Management
+
+```python
+async def monitor_browser_pool():
+    async with httpx.AsyncClient() as client:
+        response = await client.get("http://localhost:11235/monitor/browsers")
+        browsers = response.json()
+
+        print(f"Pool Summary:")
+        print(f"  Total Browsers: {browsers['summary']['total_count']}")
+        print(f"  Total Memory: {browsers['summary']['total_memory_mb']} MB")
+        print(f"  Reuse Rate: {browsers['summary']['reuse_rate_percent']:.1f}%")
+
+        # List all browsers
+        for browser in browsers['permanent']:
+            print(f"🔥 Permanent: {browser['browser_id'][:8]}... | "
+                  f"Requests: {browser['request_count']} | "
+                  f"Memory: {browser['memory_mb']:.0f} MB")
+```
+
+### Endpoint Performance Statistics
+
+```python
+async def get_endpoint_stats():
+    async with httpx.AsyncClient() as client:
+        response = await client.get("http://localhost:11235/monitor/endpoints/stats")
+        stats = response.json()
+
+        print("Endpoint Analytics:")
+        for endpoint, data in stats.items():
+            print(f"  {endpoint}:")
+            print(f"    Requests: {data['count']}")
+            print(f"    Avg Latency: {data['avg_latency_ms']:.0f}ms")
+            print(f"    Success Rate: {data['success_rate_percent']:.1f}%")
+```
+
+### Complete API Reference
+
+The Monitor API includes these endpoints:
+
+- `GET /monitor/health` - System health with pool statistics
+- `GET /monitor/requests` - Active and completed request tracking
+- `GET /monitor/browsers` - Browser pool details and efficiency
+- `GET /monitor/endpoints/stats` - Per-endpoint performance analytics
+- `GET /monitor/timeline?minutes=5` - Time-series data for charts
+- `GET /monitor/logs/janitor?limit=10` - Cleanup activity logs
+- `GET /monitor/logs/errors?limit=10` - Error logs with context
+- `POST /monitor/actions/cleanup` - Force immediate cleanup
+- `POST /monitor/actions/kill_browser` - Kill specific browser
+- `POST /monitor/actions/restart_browser` - Restart browser
+- `POST /monitor/stats/reset` - Reset accumulated statistics
+
+## ⚡ WebSocket Streaming: Real-time Updates
+
+**The Problem:** Polling the API every few seconds wastes resources and adds latency. Real-time dashboards need instant updates.
+
+**My Solution:** WebSocket streaming with 2-second update intervals for building custom real-time dashboards.
+
+### WebSocket Integration Example
+
+```python
+import websockets
+import json
+import asyncio
+
+async def monitor_realtime():
+    uri = "ws://localhost:11235/monitor/ws"
+
+    async with websockets.connect(uri) as websocket:
+        print("Connected to real-time monitoring stream")
+
+        while True:
+            # Receive update every 2 seconds
+            data = await websocket.recv()
+            update = json.loads(data)
+
+            # Access all monitoring data
+            print(f"\n--- Update at {update['timestamp']} ---")
+            print(f"Memory: {update['health']['container']['memory_percent']:.1f}%")
+            print(f"Active Requests: {len(update['requests']['active'])}")
+            print(f"Total Browsers: {update['browsers']['summary']['total_count']}")
+
+            if update['errors']:
+                print(f"⚠️  Recent Errors: {len(update['errors'])}")
+
+asyncio.run(monitor_realtime())
+```
+
+**Expected Real-World Impact:**
+- **Custom Dashboards**: Build tailored monitoring UIs for your team
+- **Real-time Alerting**: Trigger alerts instantly when metrics exceed thresholds
+- **Integration**: Feed live data into monitoring tools like Grafana
+- **Automation**: React to events in real-time without polling
+
+## 🔥 Smart Browser Pool: 3-Tier Architecture
+
+**The Problem:** Creating a new browser for every request is slow and memory-intensive. Traditional browser pools are static and inefficient.
+
+**My Solution:** A smart 3-tier browser pool that automatically adapts to usage patterns.
+
+### How It Works
+
+```python
+import httpx
+
+async def demonstrate_browser_pool():
+    async with httpx.AsyncClient() as client:
+        # Request 1-3: Default config → Uses permanent browser
+        print("Phase 1: Using permanent browser")
+        for i in range(3):
+            await client.post(
+                "http://localhost:11235/crawl",
+                json={"urls": [f"https://httpbin.org/html?req={i}"]}
+            )
+            print(f"  Request {i+1}: Reused permanent browser")
+
+        # Request 4-6: Custom viewport → Cold pool (first use)
+        print("\nPhase 2: Custom config creates cold pool browser")
+        viewport_config = {"viewport": {"width": 1280, "height": 720}}
+        for i in range(4):
+            await client.post(
+                "http://localhost:11235/crawl",
+                json={
+                    "urls": [f"https://httpbin.org/json?v={i}"],
+                    "browser_config": viewport_config
+                }
+            )
+            if i < 2:
+                print(f"  Request {i+1}: Cold pool browser")
+            else:
+                print(f"  Request {i+1}: Promoted to hot pool! (after 3 uses)")
+
+        # Check pool status
+        response = await client.get("http://localhost:11235/monitor/browsers")
+        browsers = response.json()
+
+        print(f"\nPool Status:")
+        print(f"  Permanent: {len(browsers['permanent'])} (always active)")
+        print(f"  Hot: {len(browsers['hot'])} (frequently used configs)")
+        print(f"  Cold: {len(browsers['cold'])} (on-demand)")
+        print(f"  Reuse Rate: {browsers['summary']['reuse_rate_percent']:.1f}%")
+
+asyncio.run(demonstrate_browser_pool())
+```
+
+**Pool Tiers:**
+
+- **🔥 Permanent Browser**: Always-on, default configuration, instant response
+- **♨️ Hot Pool**: Browsers promoted after 3+ uses, kept warm for quick access
+- **❄️ Cold Pool**: On-demand browsers for variant configs, cleaned up when idle
+
+**Expected Real-World Impact:**
+- **Memory Efficiency**: 10x reduction in memory usage vs creating browsers per request
+- **Performance**: Instant access to frequently-used configurations
+- **Automatic Optimization**: Pool adapts to your usage patterns
+- **Resource Management**: Janitor automatically cleans up idle browsers
+
+## 🧹 Janitor System: Automatic Cleanup
+
+**The Problem:** Long-running crawlers accumulate idle browsers and consume memory over time.
+
+**My Solution:** An automatic janitor system that monitors and cleans up idle resources.
+
+```python
+async def monitor_janitor_activity():
+    async with httpx.AsyncClient() as client:
+        response = await client.get("http://localhost:11235/monitor/logs/janitor?limit=5")
+        logs = response.json()
+
+        print("Recent Cleanup Activities:")
+        for log in logs:
+            print(f"  {log['timestamp']}: {log['message']}")
+
+# Example output:
+# 2025-11-14 10:30:00: Cleaned up 2 cold pool browsers (idle > 5min)
+# 2025-11-14 10:25:00: Browser reuse rate: 85.3%
+# 2025-11-14 10:20:00: Hot pool browser promoted (10 requests)
+```
+
+## 🎮 Control Actions: Manual Management
+
+**The Problem:** Sometimes you need to manually intervene—kill a stuck browser, force cleanup, or restart resources.
+
+**My Solution:** Manual control actions via the API for operational troubleshooting.
+
+### Force Cleanup
+
+```python
+async def force_cleanup():
+    async with httpx.AsyncClient() as client:
+        response = await client.post("http://localhost:11235/monitor/actions/cleanup")
+        result = response.json()
+
+        print(f"Cleanup completed:")
+        print(f"  Browsers cleaned: {result.get('cleaned_count', 0)}")
+        print(f"  Memory freed: {result.get('memory_freed_mb', 0):.1f} MB")
+```
+
+### Kill Specific Browser
+
+```python
+async def kill_stuck_browser(browser_id: str):
+    async with httpx.AsyncClient() as client:
+        response = await client.post(
+            "http://localhost:11235/monitor/actions/kill_browser",
+            json={"browser_id": browser_id}
+        )
+
+        if response.status_code == 200:
+            print(f"✅ Browser {browser_id} killed successfully")
+```
+
+### Reset Statistics
+
+```python
+async def reset_stats():
+    async with httpx.AsyncClient() as client:
+        response = await client.post("http://localhost:11235/monitor/stats/reset")
+        print("📊 Statistics reset for fresh monitoring")
+```
+
+## 📈 Production Integration Patterns
+
+### Prometheus Integration
+
+```python
+# Export metrics for Prometheus scraping
+async def export_prometheus_metrics():
+    async with httpx.AsyncClient() as client:
+        health = await client.get("http://localhost:11235/monitor/health")
+        data = health.json()
+
+        # Export in Prometheus format
+        metrics = f"""
+# HELP crawl4ai_memory_usage_percent Memory usage percentage
+# TYPE crawl4ai_memory_usage_percent gauge
+crawl4ai_memory_usage_percent {data['container']['memory_percent']}
+
+# HELP crawl4ai_request_success_rate Request success rate
+# TYPE crawl4ai_request_success_rate gauge
+crawl4ai_request_success_rate {data['stats']['success_rate_percent']}
+
+# HELP crawl4ai_browser_pool_count Total browsers in pool
+# TYPE crawl4ai_browser_pool_count gauge
+crawl4ai_browser_pool_count {data['pool']['permanent']['active'] + data['pool']['hot']['count'] + data['pool']['cold']['count']}
+"""
+        return metrics
+```
+
+### Alerting Example
+
+```python
+async def check_alerts():
+    async with httpx.AsyncClient() as client:
+        health = await client.get("http://localhost:11235/monitor/health")
+        data = health.json()
+
+        # Memory alert
+        if data['container']['memory_percent'] > 80:
+            print("🚨 ALERT: Memory usage above 80%")
+            # Trigger cleanup
+            await client.post("http://localhost:11235/monitor/actions/cleanup")
+
+        # Success rate alert
+        if data['stats']['success_rate_percent'] < 90:
+            print("🚨 ALERT: Success rate below 90%")
+            # Check error logs
+            errors = await client.get("http://localhost:11235/monitor/logs/errors")
+            print(f"Recent errors: {len(errors.json())}")
+
+        # Latency alert
+        if data['stats']['avg_latency_ms'] > 5000:
+            print("🚨 ALERT: Average latency above 5s")
+```
+
+### Key Metrics to Track
+
+```python
+CRITICAL_METRICS = {
+    "memory_usage": {
+        "current": "container.memory_percent",
+        "target": "<80%",
+        "alert_threshold": ">80%",
+        "action": "Force cleanup or scale"
+    },
+    "success_rate": {
+        "current": "stats.success_rate_percent",
+        "target": ">95%",
+        "alert_threshold": "<90%",
+        "action": "Check error logs"
+    },
+    "avg_latency": {
+        "current": "stats.avg_latency_ms",
+        "target": "<2000ms",
+        "alert_threshold": ">5000ms",
+        "action": "Investigate slow requests"
+    },
+    "browser_reuse_rate": {
+        "current": "browsers.summary.reuse_rate_percent",
+        "target": ">80%",
+        "alert_threshold": "<60%",
+        "action": "Check pool configuration"
+    },
+    "total_browsers": {
+        "current": "browsers.summary.total_count",
+        "target": "<15",
+        "alert_threshold": ">20",
+        "action": "Check for browser leaks"
+    },
+    "error_frequency": {
+        "current": "len(errors)",
+        "target": "<5/hour",
+        "alert_threshold": ">10/hour",
+        "action": "Review error patterns"
+    }
+}
+```
+
+## 🐛 Critical Bug Fixes
+
+This release includes significant bug fixes that improve stability and performance:
+
+### Async LLM Extraction (#1590)
+
+**The Problem:** LLM extraction was blocking async execution, causing URLs to be processed sequentially instead of in parallel (issue #1055).
+
+**The Fix:** Resolved the blocking issue to enable true parallel processing for LLM extraction.
+
+```python
+# Before v0.7.7: Sequential processing
+# After v0.7.7: True parallel processing
+
+async with AsyncWebCrawler() as crawler:
+    urls = ["url1", "url2", "url3", "url4"]
+
+    # Now processes truly in parallel with LLM extraction
+    results = await crawler.arun_many(
+        urls,
+        config=CrawlerRunConfig(
+            extraction_strategy=LLMExtractionStrategy(...)
+        )
+    )
+    # 4x faster for parallel LLM extraction!
+```
+
+**Expected Impact:** Major performance improvement for batch LLM extraction workflows.
+
+### DFS Deep Crawling (#1607)
+
+**The Problem:** DFS (Depth-First Search) deep crawl strategy had implementation issues.
+
+**The Fix:** Enhanced DFSDeepCrawlStrategy with proper seen URL tracking and improved documentation.
+
+### Browser & Crawler Config Documentation (#1609)
+
+**The Problem:** Documentation didn't match the actual `async_configs.py` implementation.
+
+**The Fix:** Updated all configuration documentation to accurately reflect the current implementation.
+
+### Sitemap Seeder (#1598)
+
+**The Problem:** Sitemap parsing and URL normalization issues in AsyncUrlSeeder (issue #1559).
+
+**The Fix:** Added comprehensive tests and fixes for sitemap namespace parsing and URL normalization.
+
+### Remove Overlay Elements (#1529)
+
+**The Problem:** The `remove_overlay_elements` functionality wasn't working (issue #1396).
+
+**The Fix:** Fixed by properly calling the injected JavaScript function.
+
+### Viewport Configuration (#1495)
+
+**The Problem:** Viewport configuration wasn't working in managed browsers (issue #1490).
+
+**The Fix:** Added proper viewport size configuration support for browser launch.
+
+### Managed Browser CDP Timing (#1528)
+
+**The Problem:** CDP (Chrome DevTools Protocol) endpoint verification had timing issues causing connection failures (issue #1445).
+
+**The Fix:** Added exponential backoff for CDP endpoint verification to handle timing variations.
+
+### Security Updates
+
+- **pyOpenSSL**: Updated from >=24.3.0 to >=25.3.0 to address security vulnerability
+- Added verification tests for the security update
+
+### Docker Fixes
+
+- **Port Standardization**: Fixed inconsistent port usage (11234 vs 11235) - now standardized to 11235
+- **LLM Environment**: Fixed LLM API key handling for multi-provider support (PR #1537)
+- **Error Handling**: Improved Docker API error messages with comprehensive status codes
+- **Serialization**: Fixed `fit_html` property serialization in `/crawl` and `/crawl/stream` endpoints
+
+### Other Important Fixes
+
+- **arun_many Returns**: Fixed function to always return a list, even on exception (PR #1530)
+- **Webhook Serialization**: Properly serialize Pydantic HttpUrl in webhook config
+- **LLMConfig Documentation**: Fixed casing and variable name consistency (issue #1551)
+- **Python Version**: Dropped Python 3.9 support, now requires Python >=3.10
+
+## 📊 Expected Real-World Impact
+
+### For DevOps & Infrastructure Teams
+- **Full Visibility**: Know exactly what's happening inside your crawling infrastructure
+- **Proactive Monitoring**: Catch issues before they become problems
+- **Resource Optimization**: Identify memory leaks and performance bottlenecks
+- **Operational Control**: Manual intervention when automated systems need help
+
+### For Production Deployments
+- **Enterprise Observability**: Prometheus, Grafana, and alerting integration
+- **Debugging**: Real-time logs and error tracking
+- **Capacity Planning**: Historical metrics for scaling decisions
+- **SLA Monitoring**: Track success rates and latency against targets
+
+### For Development Teams
+- **Local Monitoring**: Understand crawler behavior during development
+- **Performance Testing**: Measure impact of configuration changes
+- **Troubleshooting**: Quickly identify and fix issues
+- **Learning**: See exactly how the browser pool works
+
+## 🔄 Breaking Changes
+
+**None!** This release is fully backward compatible.
+
+- All existing Docker configurations continue to work
+- No API changes to existing endpoints
+- Monitoring is additive functionality
+- No migration required
+
+## 🚀 Upgrade Instructions
+
+### Docker
+
+```bash
+# Pull the latest version
+docker pull unclecode/crawl4ai:0.7.7
+
+# Or use the latest tag
+docker pull unclecode/crawl4ai:latest
+
+# Run with monitoring enabled (default)
+docker run -d \
+  -p 11235:11235 \
+  --shm-size=1g \
+  --name crawl4ai \
+  unclecode/crawl4ai:0.7.7
+
+# Access the monitoring dashboard
+open http://localhost:11235/dashboard
+```
+
+### Python Package
+
+```bash
+# Upgrade to latest version
+pip install --upgrade crawl4ai
+
+# Or install specific version
+pip install crawl4ai==0.7.7
+```
+
+## 🎬 Try the Demo
+
+Run the comprehensive demo that showcases all monitoring features:
+
+```bash
+python docs/releases_review/demo_v0.7.7.py
+```
+
+**The demo includes:**
+1. System health overview with live metrics
+2. Request tracking with active/completed monitoring
+3. Browser pool management (permanent/hot/cold)
+4. Complete Monitor API endpoint examples
+5. WebSocket streaming demonstration
+6. Control actions (cleanup, kill, restart)
+7. Production metrics and alerting patterns
+8. Self-hosting value proposition
+
+## 📚 Documentation
+
+### New Documentation
+- **[Self-Hosting Guide](https://docs.crawl4ai.com/core/self-hosting/)** - Complete self-hosting documentation with monitoring
+- **Demo Script**: `docs/releases_review/demo_v0.7.7.py` - Working examples
+
+### Updated Documentation
+- **Docker Deployment** → **Self-Hosting** (renamed for better positioning)
+- Added comprehensive monitoring sections
+- Production integration patterns
+- WebSocket streaming examples
+
+## 💡 Pro Tips
+
+1. **Start with the dashboard** - Visit `/dashboard` to get familiar with the monitoring system
+2. **Track the 6 key metrics** - Memory, success rate, latency, reuse rate, browser count, errors
+3. **Set up alerting early** - Use the Monitor API to build alerts before issues occur
+4. **Monitor browser pool efficiency** - Aim for >80% reuse rate for optimal performance
+5. **Use WebSocket for custom dashboards** - Build tailored monitoring UIs for your team
+6. **Leverage Prometheus integration** - Export metrics for long-term storage and analysis
+7. **Check janitor logs** - Understand automatic cleanup patterns
+8. **Use control actions judiciously** - Manual interventions are for exceptional cases
+
+## 🙏 Acknowledgments
+
+Thank you to our community for the feedback, bug reports, and feature requests that shaped this release. Special thanks to everyone who contributed to the issues that were fixed in this version.
+
+The monitoring system was built based on real user needs for production deployments, and your input made it comprehensive and practical.
+
+## 📞 Support & 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)
+- **📊 Dashboard**: `http://localhost:11235/dashboard` (when running)
+
+---
+
+**Crawl4AI v0.7.7 delivers complete self-hosting with enterprise-grade monitoring. You now have full visibility and control over your web crawling infrastructure. The monitoring dashboard, comprehensive API, and WebSocket streaming give you everything needed for production deployments. Try the self-hosting platform—it's a game changer for operational excellence!**
+
+**Happy crawling with full visibility!** 🕷️📊
+
+*- unclecode*

docs/examples/c4a_script/tutorial/README.md

@@ -18,7 +18,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
 
 2. **Install Dependencies**
    ```bash
-   pip install flask
+   pip install -r requirements.txt
    ```
 
 3. **Launch the Server**
@@ -28,7 +28,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
 
 4. **Open in Browser**
    ```
-   http://localhost:8080
+   http://localhost:8000
    ```
 
 **🌐 Try Online**: [Live Demo](https://docs.crawl4ai.com/c4a-script/demo)
@@ -325,7 +325,7 @@ Powers the recording functionality:
 ### Configuration
 ```python
 # server.py configuration
-PORT = 8080
+PORT = 8000
 DEBUG = True
 THREADED = True
 ```
@@ -343,9 +343,9 @@ THREADED = True
 **Port Already in Use**
 ```bash
 # Kill existing process
-lsof -ti:8080 | xargs kill -9
+lsof -ti:8000 | xargs kill -9
 # Or use different port
-python server.py --port 8081
+python server.py --port 8001
 ```
 
 **Blockly Not Loading**

docs/examples/c4a_script/tutorial/server.py

@@ -216,7 +216,7 @@ def get_examples():
             'name': 'Handle Cookie Banner',
             'description': 'Accept cookies and close newsletter popup',
             'script': '''# Handle cookie banner and newsletter
-GO http://127.0.0.1:8080/playground/
+GO http://127.0.0.1:8000/playground/
 WAIT `body` 2
 IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
 IF (EXISTS `.newsletter-popup`) THEN CLICK `.close`'''

docs/examples/capsolver_captcha_solver/capsolver_api_integration/solve_aws_waf.py

@@ -0,0 +1,62 @@
+import asyncio
+import capsolver
+from crawl4ai import *
+
+
+# TODO: set your config
+# Docs: https://docs.capsolver.com/guide/captcha/awsWaf/
+api_key = "CAP-xxxxxxxxxxxxxxxxxxxxx"              # your api key of capsolver
+site_url = "https://nft.porsche.com/onboarding@6"  # page url of your target site
+cookie_domain = ".nft.porsche.com"                 # the domain name to which you want to apply the cookie
+captcha_type = "AntiAwsWafTaskProxyLess"           # type of your target captcha
+capsolver.api_key = api_key
+
+
+async def main():
+    browser_config = BrowserConfig(
+        verbose=True,
+        headless=False,
+        use_persistent_context=True,
+    )
+
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        await crawler.arun(
+            url=site_url,
+            cache_mode=CacheMode.BYPASS,
+            session_id="session_captcha_test"
+        )
+
+        # get aws waf cookie using capsolver sdk
+        solution = capsolver.solve({
+            "type": captcha_type,
+            "websiteURL": site_url,
+        })
+        cookie = solution["cookie"]
+        print("aws waf cookie:", cookie)
+
+        js_code = """
+            document.cookie = \'aws-waf-token=""" + cookie + """;domain=""" + cookie_domain + """;path=/\';
+            location.reload();
+        """
+
+        wait_condition = """() => {
+            return document.title === \'Join Porsche’s journey into Web3\';
+        }"""
+
+        run_config = CrawlerRunConfig(
+            cache_mode=CacheMode.BYPASS,
+            session_id="session_captcha_test",
+            js_code=js_code,
+            js_only=True,
+            wait_for=f"js:{wait_condition}"
+        )
+
+        result_next = await crawler.arun(
+            url=site_url,
+            config=run_config,
+        )
+        print(result_next.markdown)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

docs/examples/capsolver_captcha_solver/capsolver_api_integration/solve_cloudflare_challenge.py

@@ -0,0 +1,60 @@
+import asyncio
+import capsolver
+from crawl4ai import *
+
+
+# TODO: set your config
+# Docs: https://docs.capsolver.com/guide/captcha/cloudflare_challenge/
+api_key = "CAP-xxxxxxxxxxxxxxxxxxxxx"          # your api key of capsolver
+site_url = "https://gitlab.com/users/sign_in"  # page url of your target site
+captcha_type = "AntiCloudflareTask"            # type of your target captcha
+# your http proxy to solve cloudflare challenge
+proxy_server = "proxy.example.com:8080"
+proxy_username = "myuser"
+proxy_password = "mypass"
+capsolver.api_key = api_key
+
+
+async def main():
+    # get challenge cookie using capsolver sdk
+    solution = capsolver.solve({
+        "type": captcha_type,
+        "websiteURL": site_url,
+        "proxy": f"{proxy_server}:{proxy_username}:{proxy_password}",
+    })
+    cookies = solution["cookies"]
+    user_agent = solution["userAgent"]
+    print("challenge cookies:", cookies)
+
+    cookies_list = []
+    for name, value in cookies.items():
+        cookies_list.append({
+            "name": name,
+            "value": value,
+            "url": site_url,
+        })
+
+    browser_config = BrowserConfig(
+        verbose=True,
+        headless=False,
+        use_persistent_context=True,
+        user_agent=user_agent,
+        cookies=cookies_list,
+        proxy_config={
+            "server": f"http://{proxy_server}",
+            "username": proxy_username,
+            "password": proxy_password,
+        },
+    )
+
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        result = await crawler.arun(
+            url=site_url,
+            cache_mode=CacheMode.BYPASS,
+            session_id="session_captcha_test"
+        )
+        print(result.markdown)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

docs/examples/capsolver_captcha_solver/capsolver_api_integration/solve_cloudflare_turnstile.py

@@ -0,0 +1,64 @@
+import asyncio
+import capsolver
+from crawl4ai import *
+
+
+# TODO: set your config
+# Docs: https://docs.capsolver.com/guide/captcha/cloudflare_turnstile/
+api_key = "CAP-xxxxxxxxxxxxxxxxxxxxx"                       # your api key of capsolver
+site_key = "0x4AAAAAAAGlwMzq_9z6S9Mh"                       # site key of your target site
+site_url = "https://clifford.io/demo/cloudflare-turnstile"  # page url of your target site
+captcha_type = "AntiTurnstileTaskProxyLess"                 # type of your target captcha
+capsolver.api_key = api_key
+
+
+async def main():
+    browser_config = BrowserConfig(
+        verbose=True,
+        headless=False,
+        use_persistent_context=True,
+    )
+
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        await crawler.arun(
+            url=site_url,
+            cache_mode=CacheMode.BYPASS,
+            session_id="session_captcha_test"
+        )
+
+        # get turnstile token using capsolver sdk
+        solution = capsolver.solve({
+            "type": captcha_type,
+            "websiteURL": site_url,
+            "websiteKey": site_key,
+        })
+        token = solution["token"]
+        print("turnstile token:", token)
+
+        js_code = """
+            document.querySelector(\'input[name="cf-turnstile-response"]\').value = \'"""+token+"""\';
+            document.querySelector(\'button[type="submit"]\').click();
+        """
+
+        wait_condition = """() => {
+            const items = document.querySelectorAll(\'h1\');
+            return items.length === 0;
+        }"""
+
+        run_config = CrawlerRunConfig(
+            cache_mode=CacheMode.BYPASS,
+            session_id="session_captcha_test",
+            js_code=js_code,
+            js_only=True,
+            wait_for=f"js:{wait_condition}"
+        )
+
+        result_next = await crawler.arun(
+            url=site_url,
+            config=run_config,
+        )
+        print(result_next.markdown)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())