43 lines
1.3 KiB
Plaintext
43 lines
1.3 KiB
Plaintext
# OSVauco agent dependencies
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# ADK — must stay <2.0.0 while google-cloud-aiplatform[adk,agent_engines] requires google-adk<2.0.0
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google-adk>=1.0.0,<2.0.0
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google-cloud-aiplatform[adk,agent_engines,evaluation]>=1.112.0
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# litellm — pinned for Python 3.13 compatibility
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litellm>=1.67.0
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# Secret Manager integration
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google-cloud-secret-manager>=2.20.0
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# MCP toolset
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httpx>=0.27.0
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google-auth>=2.29.0
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google-auth-httplib2>=0.2.0
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# Observability
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opentelemetry-sdk>=1.25.0
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opentelemetry-exporter-gcp-trace>=1.8.0
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google-cloud-logging>=3.10.0
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google-cloud-monitoring>=2.22.0
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# HTTP server for Cloud Run
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uvicorn[standard]>=0.29.0
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fastapi>=0.111.0
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# Utilities
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python-dotenv>=1.0.0
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pydantic>=2.7.0
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# ── ML Layer (Fase ML-1) ─────────────────────────────────────────────────────
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# Dask: parallell task scheduling + lazy DAG execution
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dask[distributed]>=2024.1.0
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# dask-ml: scikit-learn-kompatibel ML på Dask DataFrames/Arrays (Fase ML-2)
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dask-ml>=2024.4.0
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# scikit-learn: base estimatorer med partial_fit for inkrementell læring
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scikit-learn>=1.4.0
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# pandas: tabular telemetri-analyse
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pandas>=2.0.0
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# XGBoost: distribuert feature importance (Fase ML-3)
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# xgboost>=2.0.0 ← aktiver i Fase ML-3
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