docker-compose.yml gains healthchecks and depends_on/condition chains for the litellm/langfuse/postgres tier so dependants wait for a genuinely ready service instead of a started container. Also plumbs AGAP_MCP_TOKEN into the adolf and adolf-llm containers, sourced from openai/.env (gitignored), for the kb#180 bearer auth on the agap MCP server; shared-mcp.json consumes it via bearerTokenEnvVar so the Kimi backbone authenticates too. agent-registry.yaml / agent_registry.py: the version-controlled source of truth for agent identities and trust classes -- the same ids the agap-mcp token map resolves to (`adolf`, `claude-coder`; note `claude-code-cli` is the runtime entry, not an agent identity). model-registry.yaml, litellm-config.yaml, auto-router-routes.json and provision_litellm_keys.py: model tiering, virtual-key provisioning and auto-router routes. tei-reranker/ is the local reranker service backing Hindsight recall. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
14 lines
429 B
Docker
14 lines
429 B
Docker
# CUDA torch base with Pascal (sm_61) support — cu118 wheels include sm_61,
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# so the GTX 1070 works (unlike the stock TEI GPU image, which needs sm_75+).
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FROM pytorch/pytorch:2.3.1-cuda11.8-cudnn8-runtime
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY server.py .
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ENV HF_HOME=/root/.cache/huggingface
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EXPOSE 80
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CMD ["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "80"]
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