Fetching metadata from the HF Docker repository... - app push
- data Update README.md with detailed configuration, deliverables checklist, API endpoints, request bodies, local run instructions, Docker setup, and project layout for the DSN × BCT LLM Agent Challenge.
- scripts Enhance agent workflow and integration of Gemini API for text generation
- 46 Bytes Update README.md with detailed configuration, deliverables checklist, API endpoints, request bodies, local run instructions, Docker setup, and project layout for the DSN × BCT LLM Agent Challenge.
- 1.52 kB initial commit
- 31 Bytes Update README.md with detailed configuration, deliverables checklist, API endpoints, request bodies, local run instructions, Docker setup, and project layout for the DSN × BCT LLM Agent Challenge.
- 7.09 kB Refactor agent workflow and update documentation for Gemini-first implementation
- 1.69 kB Enhance agent workflow and integration of Gemini API for text generation
- 399 Bytes Add agent workflow documentation and refactor user modeling and recommendation services
- 6.51 kB Refactor agent workflow and update documentation for Gemini-first implementation
- 356 Bytes Enhance Docker configuration by adding HUGGING_FACE_HUB_TOKEN as a build argument in docker-compose.yml and Dockerfile. Update Dockerfile to install CPU-only PyTorch and adjust thread counts for reduced memory usage during builds. Modify docker_build_assets.py to support both HF_TOKEN and HUGGING_FACE_HUB_TOKEN for model caching. Update README.md to clarify token usage and build instructions.
- 728 Bytes Enhance agent workflow and integration of Gemini API for text generation
- 173 Bytes Enhance agent workflow and integration of Gemini API for text generation
