| --- |
| title: Agentic Service Data Eyond |
| emoji: 🏆 |
| colorFrom: red |
| colorTo: blue |
| sdk: docker |
| pinned: false |
| short_description: AI Agent core service |
| --- |
| |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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| # Agentic Service Data Eyond |
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| How to run: |
| `uv run --no-sync uvicorn main:app --host 0.0.0.0 --port 7860` |
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| Agent |
| Orchestrator : intent recognition, orchestrate, and plannings |
| Chatbot : have tools (retriever, and search), called by orchestrator |
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| APIs |
| /api/v1/login -> login by email and password |
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| /api/v1/documents/{user_id} -> list all documents |
| /api/v1/document/upload -> upload document |
| /api/v1/document/delete -> delete document |
| /api/v1/document/process -> extract document and ingest to vector index |
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| /api/v1/chat/stream -> talk with agent chatbot, in streaming response |
| /api/v1/rooms/{user_id} -> list all room based on user id |
| /api/v1/room/{room_id} -> get room based on room id |
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| Config |
| - Agent: system prompt, guardrails |
| - others config needed |
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| DB |
| - using postgres as db |
| - we can use pg vector from this db also |
| - use redis for caching response, same question will not re-processed for 24 hour |
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| Document |
| - service to manage document, upload, delete, log to db |
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| Knowledge |
| - service to process document into vector, until ingestion to pg vector |
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| Middleware |
| CORS: |
| - allow all |
| Rate limiting: |
| - upload document: 10 document per menit |
| Logging: |
| - create clear and strutured logging for better debuging |
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| Models |
| - Data models |
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| Observability |
| - Langfuse traceability |
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| RAG |
| - retriever service to get relevant context from pg vector |
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| storage |
| - storage functionality to communicate with storage provider |
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| tools |
| - tools that can be use by agent |
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| Users |
| - Users management, to get user indentity based on login information. |
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| Utils |
| - Other functionality |
