- Support LLM_PROVIDER env var to override default provider (openai/gpt-4o-mini)
- Add optional 'provider' parameter to API endpoints for per-request overrides
- Implement provider validation to ensure API keys exist
- Update documentation and examples with new configuration options
Closes the need to hardcode providers in config.yml
- Bump version to 0.7.0
- Add release notes and demo files
- Update README with v0.7.0 features
- Update Docker configurations for v0.7.0-r1
- Move v0.7.0 demo files to releases_review
- Fix BM25 scoring bug in URLSeeder
Major features:
- Adaptive Crawling with pattern learning
- Virtual Scroll support for infinite pages
- Link Preview with 3-layer scoring
- Async URL Seeder for massive discovery
- Performance optimizations
- Update Docker base image to Python 3.12-slim-bookworm
- Bump version from 0.6.0rc1 to 0.6.0
- Update documentation to reflect release version changes
- Fix license specification in pyproject.toml and setup.py
- Clean up code formatting in demo_docker_api.py
BREAKING CHANGE: Base Python version upgraded from 3.10 to 3.12
Major updates to Docker deployment infrastructure:
- Switch default port to 11235 for all services
- Add MCP (Model Context Protocol) support with WebSocket/SSE endpoints
- Simplify docker-compose.yml with auto-platform detection
- Update documentation with new features and examples
- Consolidate configuration and improve resource management
BREAKING CHANGE: Default port changed from 8020 to 11235. Update your configurations and deployment scripts accordingly.
Add special handling for single URL requests in Docker API to use arun() instead of arun_many()
Add new example script demonstrating performance differences between sequential and parallel crawling
Update cache mode from aggressive to bypass in examples and tests
Remove unused dependencies (zstandard, msgpack)
BREAKING CHANGE: Changed default cache_mode from aggressive to bypass in examples
Adds new target_elements parameter to CrawlerRunConfig that allows more flexible content selection than css_selector. This enables focusing markdown generation and data extraction on specific elements while still processing the entire page for links and media.
Key changes:
- Added target_elements list parameter to CrawlerRunConfig
- Modified WebScrapingStrategy and LXMLWebScrapingStrategy to handle target_elements
- Updated documentation with examples and comparison between css_selector and target_elements
- Fixed table extraction in content_scraping_strategy.py
BREAKING CHANGE: Table extraction logic has been modified to better handle thead/tbody structures
Modify authentication system to gracefully handle cases where JWT is not enabled or token is missing. This includes:
- Making HTTPBearer auto_error=False to prevent automatic 403 errors
- Updating token dependency to return None when JWT is disabled
- Fixing model deserialization in CrawlResult
- Updating documentation links
- Cleaning up imports
BREAKING CHANGE: Authentication behavior changed to be more permissive when JWT is disabled
- Add ignore_default_value option to to_serializable_dict
- Add viewport dict support in BrowserConfig
- Replace FastFilterChain with FilterChain
- Add deprecation warnings for unwanted properties
- Clean up unused imports
- Rename example files for consistency
- Add comprehensive Docker configuration tutorial
BREAKING CHANGE: FastFilterChain has been replaced with FilterChain
Add JWT token-based authentication to Docker server and client.
Refactor server architecture for better code organization and error handling.
Move Dockerfile to root deploy directory and update configuration.
Add comprehensive documentation and examples.
BREAKING CHANGE: Docker server now requires authentication by default.
Endpoints require JWT tokens when security.jwt_enabled is true in config.
Improve configuration serialization with better handling of frozensets and slots.
Expand deep crawling module exports and documentation.
Add comprehensive API usage examples in Docker README.
- Add support for frozenset serialization
- Improve error handling in config loading
- Export additional deep crawling components
- Enhance Docker API documentation with detailed examples
- Fix ContentTypeFilter initialization
Complete overhaul of Docker deployment setup with improved architecture:
- Add Redis integration for task management
- Implement rate limiting and security middleware
- Add Prometheus metrics and health checks
- Improve error handling and logging
- Add support for streaming responses
- Implement proper configuration management
- Add platform-specific optimizations for ARM64/AMD64
BREAKING CHANGE: Docker deployment now requires Redis and new config.yml structure
Add comprehensive Docker deployment configuration with:
- New .dockerignore and .llm.env.example files
- Enhanced Dockerfile with multi-stage build and optimizations
- Detailed README with setup instructions and environment configurations
- Improved requirements.txt with Gunicorn
- Better error handling in async_configs.py
BREAKING CHANGE: Docker deployment now requires .llm.env file for API keys
