mirror of
https://github.com/furyhawk/agent_alpha.git
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furyhawk
1c203b6bdb
- Introduced `auth_token_repo` for handling auth token operations in Redis. - Created `chat_repo` for managing chat sessions and messages in Redis. - Implemented `ChatService` and `AuthService` to encapsulate business logic for chat and authentication. - Updated routes to utilize new service and repository layers, removing direct database calls. - Enhanced user management with `UserService` for CRUD operations and user authentication. - Revised architecture documentation to reflect the new service-repository pattern.
49 lines
3.1 KiB
Bash
49 lines
3.1 KiB
Bash
# ── Debugging ──────────────────────────────────────────────────────────────
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# Set to true to enable debug logging and SQLAlchemy echo
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DEBUG=false
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# ── LLM (OpenAI-compatible) ────────────────────────────────────────────────
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LLM_BASE_URL=http://host.docker.internal:11434/v1
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LLM_MODEL=llama
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# Leave empty for local servers like Ollama / llama.cpp
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LLM_API_KEY=
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# ── AI Agent ────────────────────────────────────────────────────────────────
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# Model used by pydantic-ai for agent reasoning (e.g. gpt-4o, claude-sonnet-4)
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AI_MODEL=gpt-4o
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# ── Embeddings ─────────────────────────────────────────────────────────────
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# If EMBEDDING_BASE_URL is empty, the LLM base URL is used instead
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EMBEDDING_BASE_URL=http://host.docker.internal:11434/v1
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EMBEDDING_API_KEY=
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# ── Observability ──────────────────────────────────────────────────────────
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# Set LOGFIRE_TOKEN to enable Logfire telemetry; omit to disable
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LOGFIRE_TOKEN=
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# ── PostgreSQL ─────────────────────────────────────────────────────────────
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DATABASE_URL=postgresql+asyncpg://agent_alpha:agent_alpha@postgres:5432/agent_alpha
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# ── Valkey / Redis (cache + chat persistence, also used for RAG status SSE) ─
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VALKEY_URL=redis://valkey:6379/0
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# ── Milvus (vector database for RAG) ───────────────────────────────────────
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MILVUS_URI=http://localhost:19530
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MILVUS_TOKEN=
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# ── File / Media Storage ──────────────────────────────────────────────────
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MEDIA_DIR=media
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MAX_UPLOAD_SIZE_MB=50
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# ── RAG Parser ─────────────────────────────────────────────────────────────
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PDF_PARSER=pymupdf
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# ── Cross-Encoder Reranker ─────────────────────────────────────────────────
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CROSS_ENCODER_MODEL=cross-encoder/ms-marco-MiniLM-L6-v2
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HF_TOKEN=
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MODELS_CACHE_DIR=~/.cache/agent-alpha/models
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# ── RAG Image Description ──────────────────────────────────────────────────
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# Model to use for describing images in RAG documents (empty = disabled)
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RAG_IMAGE_DESCRIPTION_MODEL=
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