3 Commits

Author	SHA1	Message	Date
Aravind	2af958e12c	Feat/llm config (#724) ... * feature: Add LlmConfig to easily configure and pass LLM configs to different strategies * pulled in next branch and resolved conflicts * feat: Add gemini and deepseek providers. Make ignore_cache in llm content filter to true by default to avoid confusions * Refactor: Update LlmConfig in LLMExtractionStrategy class and deprecate old params * updated tests, docs and readme	2025-02-21 15:41:37 +08:00
UncleCode	2f15976b34	feat(docker): enhance Docker deployment setup and configuration ... 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	2025-02-01 19:33:27 +08:00
UncleCode	53ac3ec0b4	feat(docker): add Docker service integration and config serialization ... Add Docker service integration with FastAPI server and client implementation. Implement serialization utilities for BrowserConfig and CrawlerRunConfig to support Docker service communication. Clean up imports and improve error handling. - Add Crawl4aiDockerClient class - Implement config serialization/deserialization - Add FastAPI server with streaming support - Add health check endpoint - Clean up imports and type hints	2025-01-31 18:00:16 +08:00