Refactor proxy configuration documentation for clarity and consistency

: Enhance proxy configuration documentation with security features, SSL analysis, and improved examples

docs/md_v2/advanced/proxy-security.md

@@ -1,98 +1,304 @@
-# Proxy 
+# Proxy & Security
+
+This guide covers proxy configuration and security features in Crawl4AI, including SSL certificate analysis and proxy rotation strategies.
+
+## Understanding Proxy Configuration
+
+Crawl4AI recommends configuring proxies per request through `CrawlerRunConfig.proxy_config`. This gives you precise control, enables rotation strategies, and keeps examples simple enough to copy, paste, and run.
 
 ## Basic Proxy Setup
 
-Simple proxy configuration with `BrowserConfig`:
+Configure proxies that apply to each crawl operation:
 
 ```python
-from crawl4ai.async_configs import BrowserConfig
-
-# Using HTTP proxy
-browser_config = BrowserConfig(proxy_config={"server": "http://proxy.example.com:8080"})
-async with AsyncWebCrawler(config=browser_config) as crawler:
-    result = await crawler.arun(url="https://example.com")
-
-# Using SOCKS proxy
-browser_config = BrowserConfig(proxy_config={"server": "socks5://proxy.example.com:1080"})
-async with AsyncWebCrawler(config=browser_config) as crawler:
-    result = await crawler.arun(url="https://example.com")
-```
-
-## Authenticated Proxy
-
-Use an authenticated proxy with `BrowserConfig`:
-
-```python
-from crawl4ai.async_configs import BrowserConfig
-
-browser_config = BrowserConfig(proxy_config={
-    "server": "http://[host]:[port]",
-    "username": "[username]",
-    "password": "[password]",
-})
-async with AsyncWebCrawler(config=browser_config) as crawler:
-    result = await crawler.arun(url="https://example.com")
-```
-
-
-## Rotating Proxies 
-
-Example using a proxy rotation service dynamically:
-
-```python
-import re
-from crawl4ai import (
-    AsyncWebCrawler,
-    BrowserConfig,
-    CrawlerRunConfig,
-    CacheMode,
-    RoundRobinProxyStrategy,
-)
 import asyncio
-from crawl4ai import ProxyConfig
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, ProxyConfig
+
+run_config = CrawlerRunConfig(proxy_config=ProxyConfig(server="http://proxy.example.com:8080"))
+# run_config = CrawlerRunConfig(proxy_config={"server": "http://proxy.example.com:8080"})
+# run_config = CrawlerRunConfig(proxy_config="http://proxy.example.com:8080")
+
+
 async def main():
-    # Load proxies and create rotation strategy
+    browser_config = BrowserConfig()
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        result = await crawler.arun(url="https://example.com", config=run_config)
+        print(f"Success: {result.success} -> {result.url}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+!!! note "Why request-level?"
+    `CrawlerRunConfig.proxy_config` keeps each request self-contained, so swapping proxies or rotation strategies is just a matter of building a new run configuration.
+
+## Supported Proxy Formats
+
+The `ProxyConfig.from_string()` method supports multiple formats:
+
+```python
+from crawl4ai import ProxyConfig
+
+# HTTP proxy with authentication
+proxy1 = ProxyConfig.from_string("http://user:pass@192.168.1.1:8080")
+
+# HTTPS proxy
+proxy2 = ProxyConfig.from_string("https://proxy.example.com:8080")
+
+# SOCKS5 proxy
+proxy3 = ProxyConfig.from_string("socks5://proxy.example.com:1080")
+
+# Simple IP:port format
+proxy4 = ProxyConfig.from_string("192.168.1.1:8080")
+
+# IP:port:user:pass format
+proxy5 = ProxyConfig.from_string("192.168.1.1:8080:user:pass")
+```
+
+## Authenticated Proxies
+
+For proxies requiring authentication:
+
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler,BrowserConfig, CrawlerRunConfig, ProxyConfig
+
+run_config = CrawlerRunConfig(
+    proxy_config=ProxyConfig(
+        server="http://proxy.example.com:8080",
+        username="your_username",
+        password="your_password",
+    )
+)
+# Or dictionary style:
+# run_config = CrawlerRunConfig(proxy_config={
+#     "server": "http://proxy.example.com:8080",
+#     "username": "your_username",
+#     "password": "your_password",
+# })
+
+
+async def main():
+    browser_config = BrowserConfig()
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        result = await crawler.arun(url="https://example.com", config=run_config)
+        print(f"Success: {result.success} -> {result.url}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+## Environment Variable Configuration
+
+Load proxies from environment variables for easy configuration:
+
+```python
+import os
+from crawl4ai import ProxyConfig, CrawlerRunConfig
+
+# Set environment variable
+os.environ["PROXIES"] = "ip1:port1:user1:pass1,ip2:port2:user2:pass2,ip3:port3"
+
+# Load all proxies
+proxies = ProxyConfig.from_env()
+print(f"Loaded {len(proxies)} proxies")
+
+# Use first proxy
+if proxies:
+    run_config = CrawlerRunConfig(proxy_config=proxies[0])
+```
+
+## Rotating Proxies
+
+Crawl4AI supports automatic proxy rotation to distribute requests across multiple proxy servers. Rotation is applied per request using a rotation strategy on `CrawlerRunConfig`.
+
+### Proxy Rotation (recommended)
+```python
+import asyncio
+import re
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode, ProxyConfig
+from crawl4ai.proxy_strategy import RoundRobinProxyStrategy
+
+async def main():
+    # Load proxies from environment
     proxies = ProxyConfig.from_env()
-    #eg: export PROXIES="ip1:port1:username1:password1,ip2:port2:username2:password2"
     if not proxies:
-        print("No proxies found in environment. Set PROXIES env variable!")
+        print("No proxies found! Set PROXIES environment variable.")
         return
 
+    # Create rotation strategy
     proxy_strategy = RoundRobinProxyStrategy(proxies)
 
-    # Create configs
+    # Configure per-request with proxy rotation
     browser_config = BrowserConfig(headless=True, verbose=False)
     run_config = CrawlerRunConfig(
         cache_mode=CacheMode.BYPASS,
-        proxy_rotation_strategy=proxy_strategy
+        proxy_rotation_strategy=proxy_strategy,
     )
 
     async with AsyncWebCrawler(config=browser_config) as crawler:
         urls = ["https://httpbin.org/ip"] * (len(proxies) * 2)  # Test each proxy twice
 
-        print("\n📈 Initializing crawler with proxy rotation...")
-        async with AsyncWebCrawler(config=browser_config) as crawler:
-            print("\n🚀 Starting batch crawl with proxy rotation...")
-            results = await crawler.arun_many(
-                urls=urls,
-                config=run_config
-            )
-            for result in results:
-                if result.success:
-                    ip_match = re.search(r'(?:[0-9]{1,3}\.){3}[0-9]{1,3}', result.html)
-                    current_proxy = run_config.proxy_config if run_config.proxy_config else None
+        print(f"🚀 Testing {len(proxies)} proxies with rotation...")
+        results = await crawler.arun_many(urls=urls, config=run_config)
 
-                    if current_proxy and ip_match:
-                        print(f"URL {result.url}")
-                        print(f"Proxy {current_proxy.server} -> Response IP: {ip_match.group(0)}")
-                        verified = ip_match.group(0) == current_proxy.ip
-                        if verified:
-                            print(f"✅ Proxy working! IP matches: {current_proxy.ip}")
-                        else:
-                            print("❌ Proxy failed or IP mismatch!")
-                    print("---")
+        for i, result in enumerate(results):
+            if result.success:
+                # Extract IP from response
+                ip_match = re.search(r'(?:[0-9]{1,3}\.){3}[0-9]{1,3}', result.html)
+                if ip_match:
+                    detected_ip = ip_match.group(0)
+                    proxy_index = i % len(proxies)
+                    expected_ip = proxies[proxy_index].ip
 
-asyncio.run(main())
+                    print(f"✅ Request {i+1}: Proxy {proxy_index+1} -> IP {detected_ip}")
+                    if detected_ip == expected_ip:
+                        print("   🎯 IP matches proxy configuration")
+                    else:
+                        print(f"   ⚠️  IP mismatch (expected {expected_ip})")
+                else:
+                    print(f"❌ Request {i+1}: Could not extract IP from response")
+            else:
+                print(f"❌ Request {i+1}: Failed - {result.error_message}")
 
+if __name__ == "__main__":
+    asyncio.run(main())
 ```
 
+## SSL Certificate Analysis
+
+Combine proxy usage with SSL certificate inspection for enhanced security analysis. SSL certificate fetching is configured per request via `CrawlerRunConfig`.
+
+### Per-Request SSL Certificate Analysis
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
+
+run_config = CrawlerRunConfig(
+    proxy_config={
+        "server": "http://proxy.example.com:8080",
+        "username": "user",
+        "password": "pass",
+    },
+    fetch_ssl_certificate=True,  # Enable SSL certificate analysis for this request
+)
+
+
+async def main():
+    browser_config = BrowserConfig()
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        result = await crawler.arun(url="https://example.com", config=run_config)
+
+        if result.success:
+            print(f"✅ Crawled via proxy: {result.url}")
+
+            # Analyze SSL certificate
+            if result.ssl_certificate:
+                cert = result.ssl_certificate
+                print("🔒 SSL Certificate Info:")
+                print(f"   Issuer: {cert.issuer}")
+                print(f"   Subject: {cert.subject}")
+                print(f"   Valid until: {cert.valid_until}")
+                print(f"   Fingerprint: {cert.fingerprint}")
+
+                # Export certificate
+                cert.to_json("certificate.json")
+                print("💾 Certificate exported to certificate.json")
+            else:
+                print("⚠️  No SSL certificate information available")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+## Security Best Practices
+
+### 1. Proxy Rotation for Anonymity
+```python
+from crawl4ai import CrawlerRunConfig, ProxyConfig
+from crawl4ai.proxy_strategy import RoundRobinProxyStrategy
+
+# Use multiple proxies to avoid IP blocking
+proxies = ProxyConfig.from_env("PROXIES")
+strategy = RoundRobinProxyStrategy(proxies)
+
+# Configure rotation per request (recommended)
+run_config = CrawlerRunConfig(proxy_rotation_strategy=strategy)
+
+# For a fixed proxy across all requests, just reuse the same run_config instance
+static_run_config = run_config
+```
+
+### 2. SSL Certificate Verification
+```python
+from crawl4ai import CrawlerRunConfig
+
+# Always verify SSL certificates when possible
+# Per-request (affects specific requests)
+run_config = CrawlerRunConfig(fetch_ssl_certificate=True)
+```
+
+### 3. Environment Variable Security
+```bash
+# Use environment variables for sensitive proxy credentials
+# Avoid hardcoding usernames/passwords in code
+export PROXIES="ip1:port1:user1:pass1,ip2:port2:user2:pass2"
+```
+
+### 4. SOCKS5 for Enhanced Security
+```python
+from crawl4ai import CrawlerRunConfig
+
+# Prefer SOCKS5 proxies for better protocol support
+run_config = CrawlerRunConfig(proxy_config="socks5://proxy.example.com:1080")
+```
+
+## Migration from Deprecated `proxy` Parameter
+
+!!! warning "Deprecation Notice"
+    The legacy `proxy` argument on `BrowserConfig` is deprecated. Configure proxies through `CrawlerRunConfig.proxy_config` so each request fully describes its network settings.
+
+```python
+# Old (deprecated) approach
+# from crawl4ai import BrowserConfig
+# browser_config = BrowserConfig(proxy="http://proxy.example.com:8080")
+
+# New (preferred) approach
+from crawl4ai import CrawlerRunConfig
+run_config = CrawlerRunConfig(proxy_config="http://proxy.example.com:8080")
+```
+
+### Safe Logging of Proxies
+```python
+from crawl4ai import ProxyConfig
+
+def safe_proxy_repr(proxy: ProxyConfig):
+    if getattr(proxy, "username", None):
+        return f"{proxy.server} (auth: ****)"
+    return proxy.server
+```
+
+## Troubleshooting
+
+### Common Issues
+
+???+ question "Proxy connection failed"
+    - Verify the proxy server is reachable from your network.
+    - Double-check authentication credentials.
+    - Ensure the protocol matches (`http`, `https`, or `socks5`).
+
+???+ question "SSL certificate errors"
+    - Some proxies break SSL inspection; switch proxies if you see repeated failures.
+    - Consider temporarily disabling certificate fetching to isolate the issue.
+
+???+ question "Environment variables not loading"
+    - Confirm `PROXIES` (or your custom env var) is set before running the script.
+    - Check formatting: `ip:port:user:pass,ip:port:user:pass`.
+
+???+ question "Proxy rotation not working"
+    - Ensure `ProxyConfig.from_env()` actually loaded entries (`len(proxies) > 0`).
+    - Attach `proxy_rotation_strategy` to `CrawlerRunConfig`.
+    - Validate the proxy definitions you pass into the strategy.

docs/md_v2/extraction/llm-strategies.md

@@ -20,10 +20,10 @@ In some cases, you need to extract **complex or unstructured** information from
 
 ## 2. Provider-Agnostic via LiteLLM
 
-You can use LLMConfig, to quickly configure multiple variations of LLMs and experiment with them to find the optimal one for your use case. You can read more about LLMConfig [here](/api/parameters).
+You can use LlmConfig, to quickly configure multiple variations of LLMs and experiment with them to find the optimal one for your use case. You can read more about LlmConfig [here](/api/parameters).
 
 ```python
-llm_config = LLMConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI_API_KEY"))
+llmConfig = LlmConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI_API_KEY"))
 ```
 
 Crawl4AI uses a “provider string” (e.g., `"openai/gpt-4o"`, `"ollama/llama2.0"`, `"aws/titan"`) to identify your LLM. **Any** model that LiteLLM supports is fair game. You just provide:
@@ -58,7 +58,7 @@ For structured data, `"schema"` is recommended. You provide `schema=YourPydantic
 
 Below is an overview of important LLM extraction parameters. All are typically set inside `LLMExtractionStrategy(...)`. You then put that strategy in your `CrawlerRunConfig(..., extraction_strategy=...)`.
 
-1. **`llm_config`** (LLMConfig): e.g., `"openai/gpt-4"`, `"ollama/llama2"`.
+1. **`llmConfig`** (LlmConfig): e.g., `"openai/gpt-4"`, `"ollama/llama2"`.    
 2. **`schema`** (dict): A JSON schema describing the fields you want. Usually generated by `YourModel.model_json_schema()`.  
 3. **`extraction_type`** (str): `"schema"` or `"block"`.  
 4. **`instruction`** (str): Prompt text telling the LLM what you want extracted. E.g., “Extract these fields as a JSON array.”  
@@ -112,7 +112,7 @@ async def main():
     # 1. Define the LLM extraction strategy
     llm_strategy = LLMExtractionStrategy(
         llm_config = LLMConfig(provider="openai/gpt-4o-mini", api_token=os.getenv('OPENAI_API_KEY')),
-        schema=Product.model_json_schema(), # Or use model_json_schema()
+        schema=Product.schema_json(), # Or use model_json_schema()
         extraction_type="schema",
         instruction="Extract all product objects with 'name' and 'price' from the content.",
         chunk_token_threshold=1000,
@@ -238,7 +238,7 @@ class KnowledgeGraph(BaseModel):
 async def main():
     # LLM extraction strategy
     llm_strat = LLMExtractionStrategy(
-        llm_config = LLMConfig(provider="openai/gpt-4", api_token=os.getenv('OPENAI_API_KEY')),
+        llmConfig = LLMConfig(provider="openai/gpt-4", api_token=os.getenv('OPENAI_API_KEY')),
         schema=KnowledgeGraph.model_json_schema(),
         extraction_type="schema",
         instruction="Extract entities and relationships from the content. Return valid JSON.",