f9618a9bbf
- Add Bifrost (maximhq/bifrost) as LLM gateway: all inference routes through bifrost:8080/v1 with retry logic and observability; VRAMManager keeps direct Ollama access for VRAM flush/prewarm operations - Switch medium model from qwen3:4b to qwen2.5:1.5b (direct call, no tools) via _DirectModel wrapper; complex keeps create_deep_agent with qwen3:8b - Implement out-of-agent memory pipeline: _retrieve_memories pre-fetches relevant context (injected into all tiers), _store_memory runs as background task after each reply writing to openmemory/Qdrant - Add tests/unit/ with 133 tests covering router, channels, vram_manager, agent helpers; move integration test to tests/integration/ - Add bifrost-config.json with GPU Ollama (qwen2.5:0.5b/1.5b, qwen3:4b/8b, gemma3:4b) and CPU Ollama providers - Integration test 28/29 pass (only grammy fails — no TELEGRAM_BOT_TOKEN) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
77 lines
2.1 KiB
YAML
77 lines
2.1 KiB
YAML
services:
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bifrost:
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image: maximhq/bifrost
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container_name: bifrost
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ports:
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- "8080:8080"
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volumes:
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- ./bifrost-config.json:/app/data/config.json:ro
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environment:
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- APP_DIR=/app/data
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- APP_PORT=8080
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- LOG_LEVEL=info
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extra_hosts:
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- "host.docker.internal:host-gateway"
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restart: unless-stopped
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deepagents:
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build: .
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container_name: deepagents
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ports:
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- "8000:8000"
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environment:
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- PYTHONUNBUFFERED=1
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# Bifrost gateway — all LLM inference goes through here
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- BIFROST_URL=http://bifrost:8080/v1
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# Direct Ollama GPU URL — used only by VRAMManager for flush/prewarm
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- OLLAMA_BASE_URL=http://host.docker.internal:11436
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- DEEPAGENTS_MODEL=qwen2.5:1.5b
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- DEEPAGENTS_COMPLEX_MODEL=qwen3:8b
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- DEEPAGENTS_ROUTER_MODEL=qwen2.5:1.5b
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- SEARXNG_URL=http://host.docker.internal:11437
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- GRAMMY_URL=http://grammy:3001
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- CRAWL4AI_URL=http://crawl4ai:11235
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extra_hosts:
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- "host.docker.internal:host-gateway"
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depends_on:
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- openmemory
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- grammy
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- crawl4ai
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- bifrost
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restart: unless-stopped
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openmemory:
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build: ./openmemory
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container_name: openmemory
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ports:
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- "8765:8765"
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environment:
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# Extraction LLM runs on GPU — qwen2.5:1.5b for speed (~3s)
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- OLLAMA_GPU_URL=http://host.docker.internal:11436
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- OLLAMA_EXTRACTION_MODEL=qwen2.5:1.5b
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# Embedding (nomic-embed-text) runs on CPU — fast enough for search (50-150ms)
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- OLLAMA_CPU_URL=http://host.docker.internal:11435
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extra_hosts:
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- "host.docker.internal:host-gateway"
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restart: unless-stopped
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grammy:
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build: ./grammy
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container_name: grammy
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ports:
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- "3001:3001"
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environment:
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- TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN}
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- DEEPAGENTS_URL=http://deepagents:8000
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restart: unless-stopped
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crawl4ai:
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image: unclecode/crawl4ai:latest
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container_name: crawl4ai
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ports:
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- "11235:11235"
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environment:
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- CRAWL4AI_LOG_LEVEL=WARNING
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shm_size: "1g"
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restart: unless-stopped
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