alvis
b3cf588f2f
Adds ml/agents/ — five specialised sub-agents (overdue_task, momentum, time_of_day, recent_patterns, focus_area) each producing a prompt snippet from user signals. A registry wires them up; the orchestrator prompt in ml/serving/prompts.py synthesises their outputs into one tip via LiteLLM. Also wires /api/agents route in the API and updates the Dockerfile to copy the full ml/ tree with PYTHONPATH=/app so agent imports resolve correctly. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
9 lines
310 B
OCaml
9 lines
310 B
OCaml
FROM python:3.12-slim
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WORKDIR /app/ml/serving
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COPY ml/serving/requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY ml/ /app/ml/
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# PYTHONPATH=/app lets 'import ml.agents.*' resolve from /app/ml/agents/
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ENV PYTHONPATH=/app
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
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