Chris Coutinho
26 lines
1.2 KiB
YAML
26 lines
1.2 KiB
YAML
# CI-specific overrides for RAG evaluation pipeline
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# This file is used by the rag-evaluation.yml workflow to configure the MCP
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# container with OpenAI/GitHub Models API for vector embeddings.
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#
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# Usage:
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# docker compose -f docker-compose.yml -f docker-compose.ci.yml up
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#
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# Environment variables (set in CI workflow):
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# OPENAI_API_KEY - API key for embeddings (GitHub Models uses GITHUB_TOKEN)
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# OPENAI_BASE_URL - API endpoint (e.g., https://models.github.ai/inference)
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# OPENAI_EMBEDDING_MODEL - Model name (e.g., openai/text-embedding-3-small)
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# OPENAI_GENERATION_MODEL - Model name for generation (e.g., openai/gpt-4o-mini)
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services:
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mcp:
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environment:
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# OpenAI provider configuration (required for CI vector sync)
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- OPENAI_API_KEY=${OPENAI_API_KEY}
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- OPENAI_BASE_URL=${OPENAI_BASE_URL:-https://models.github.ai/inference}
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- OPENAI_EMBEDDING_MODEL=${OPENAI_EMBEDDING_MODEL:-openai/text-embedding-3-small}
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- OPENAI_GENERATION_MODEL=${OPENAI_GENERATION_MODEL:-openai/gpt-4o-mini}
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# Faster sync for CI
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- VECTOR_SYNC_SCAN_INTERVAL=${VECTOR_SYNC_SCAN_INTERVAL:-5}
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# Enable document processing for PDF parsing
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- ENABLE_DOCUMENT_PROCESSING=true
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