chaim
4aad81e11e
Add three Hermes-inspired capabilities to Shira: - Skills system: firm-wide workflow templates (list/view/manage tools), 4 pre-seeded skills (case summary, hearing prep, direct access report, deadline tracker), auto-learning via post-conversation meta-prompt - Cross-conversation memory: per-lawyer profiles and per-case memory stored as bounded markdown files, injected into system prompts - Sub-agent delegation: spawn up to 3 child AgentRunner instances for parallel document analysis and complex multi-step tasks New files: skills.py, memory.py, delegate.py, learner.py, 4 SKILL.md Updated: agent_runner (6 new tools, depth/blocked_tools support), prompt_builder (skills/memory injection), route (memory loading, background learning), main.py (data dirs), Dockerfile (pyyaml, skills) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
27 lines
728 B
Docker
27 lines
728 B
Docker
FROM python:3.13-slim
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RUN apt-get update && apt-get install -y --no-install-recommends curl && rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Copy application
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COPY pyproject.toml .
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COPY api/ api/
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COPY mcp_server/ mcp_server/
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COPY config/ config/
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# Install dependencies
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RUN pip install --no-cache-dir fastapi "uvicorn[standard]" httpx pydantic openai pyyaml
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# Create persistent data directories
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RUN mkdir -p /opt/data/skills /opt/data/profiles /opt/data/cases
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# Copy pre-seeded skills (will be overridden by persistent volume if mounted)
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COPY config/skills/ /opt/data/skills/
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ENV PORT=3000
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ENV SHIRA_DATA_DIR=/opt/data
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EXPOSE 3000
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CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "3000", "--log-level", "info"]
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