mirror of
https://github.com/furyhawk/agent_alpha.git
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- Added `vectorstore.py` for managing vector storage operations using Milvus. - Introduced `rag_document.py` for handling RAG document lifecycle, including ingestion and status updates. - Created `rag_status.py` for streaming RAG ingestion status via Redis pub/sub. - Developed `rag_sync.py` for managing synchronization operations and logs. - Implemented `sync_source.py` for managing sync source configurations and triggering syncs. - Established a lightweight task dispatcher in `dispatcher.py` for background task execution. - Registered task functions for RAG ingestion and sync operations in `rag_tasks.py`. - Configured task dispatcher settings in `arq_settings.py`. - Added necessary database models and schemas for RAG document and sync operations.
36 lines
1.0 KiB
TOML
36 lines
1.0 KiB
TOML
[project]
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name = "agent-alpha"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"fastapi[standard]>=0.136.3",
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"logfire[asyncpg,fastapi,httpx,sqlite3]>=4.36.0",
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"pydantic-settings>=2.7.0",
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"pydantic-ai-backend>=0.2.11",
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"pydantic-ai-harness[code-mode]>=0.3.0",
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"pydantic-ai-shields>=0.3.4",
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"pydantic-ai-skills>=0.11.0",
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"pydantic-ai-slim[duckduckgo,mcp,openai]>=1.107.0",
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"pydantic-ai-todo>=0.2.4",
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"pydantic-deep>=0.3.28",
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"uvicorn[standard]>=0.34.0",
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"asyncpg>=0.30.0",
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"bcrypt>=4.2.0",
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"redis[hiredis]>=5.2.0",
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"sqlalchemy[asyncio]>=2.0.36",
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"pymupdf>=1.27.2.3",
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"python-docx>=1.2.0",
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"langchain-text-splitters>=1.1.2",
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"sentence-transformers>=5.5.1",
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# Vector Database
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"pymilvus>=2.5.0",
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# Async Task Queue (lightweight, redis-based)
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# (using redis directly instead of arq to avoid dep conflicts)
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# Embeddings
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"openai>=1.0.0",
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# Hybrid Search
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"rank-bm25>=0.2.2",
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]
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