Ryan Malloy
c335ba0e1e
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- Unified access to 4 major LLM providers (Gemini, OpenAI, Anthropic, Grok) - Real-time streaming support across all providers - Multimodal capabilities (text, images, audio) - Intelligent document processing with smart chunking - Production-ready with health monitoring and error handling - Full OpenAI ecosystem integration (Assistants, DALL-E, Whisper) - Vector embeddings and semantic similarity - Session-based API key management - Built with FastMCP and modern Python tooling 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
43 lines
847 B
YAML
43 lines
847 B
YAML
version: '3.8'
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services:
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llm-fusion-mcp:
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build: .
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container_name: llm-fusion-mcp
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restart: unless-stopped
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environment:
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- GOOGLE_API_KEY=${GOOGLE_API_KEY}
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- OPENAI_API_KEY=${OPENAI_API_KEY}
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- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
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- XAI_API_KEY=${XAI_API_KEY}
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volumes:
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- ./logs:/app/logs
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- ./data:/app/data
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stdin_open: true
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tty: true
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networks:
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- llm-fusion
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# Optional: Add monitoring service
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healthcheck:
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image: alpine:latest
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depends_on:
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- llm-fusion-mcp
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command: >
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sh -c "
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echo 'LLM Fusion MCP Health Check Service'
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while true; do
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echo '[$(date)] Checking server health...'
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sleep 30
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done
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"
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networks:
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- llm-fusion
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networks:
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llm-fusion:
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driver: bridge
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volumes:
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logs:
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data: |