jpmschweitzerandClaude
78c0fdf6ec
- Fixed: Change `result.data` to `result.output` (correct PydanticAI API) - Increased analysis_timeout from 3s to 10s (mistral-nemo needs more time) **Status:** Steward now initializes correctly but there's a remaining issue with the async generator merging logic in two_stage_agent.py causing requests to hang. This needs further investigation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
32 lines
1.2 KiB
YAML
32 lines
1.2 KiB
YAML
services:
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core-ai:
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build:
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context: ../services/core-ai
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dockerfile: Dockerfile
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container_name: core-ai
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restart: unless-stopped
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ports:
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- "8086:8086" # Expose the Core AI service port
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volumes:
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- ../services/core-ai:/app # Mount code directory for development
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environment:
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- HOST=0.0.0.0
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- PORT=8086
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- OLLAMA_BASE_URL=http://ollama:11434 # Ensure it can find Ollama
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- CORE_API_BASE_URL=http://core-api:8083/v1 # Ensure it can find Core API
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- AGENT_MODEL=mistral-nemo:latest # Better tool calling support
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- SYSTEM_PROMPT_VARIANT=minimal_agent # Match prompts.py definition
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# Memory system configuration
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- MEMORY_ENABLED=true
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- MEMORY_TIER1_SIZE=10 # Keep last 10 turns in RAM
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- QDRANT_URL=http://qdrant:6333 # Connect to existing Qdrant service
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- QDRANT_COLLECTION_PREFIX=core_ai_user # Collection naming: core_ai_user_{user_id}
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- EMBEDDING_MODEL=nomic-embed-text # Match Open WebUI embedding model
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- EMBEDDING_DIMENSION=768 # nomic-embed-text dimension
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- DEFAULT_USER_ID=llmdefault_at_schweitz_net # Default user until auth integration
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networks:
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- docker-dataplane
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networks:
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docker-dataplane:
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external: true |