ea77b2308b
- Three-tier routing: light (router answers directly ~3s), medium (qwen3:4b + tools ~60s), complex (/think prefix → qwen3:8b + subagents ~140s) - Router: qwen2.5:1.5b, temp=0, regex pre-classifier + raw-text LLM classify - VRAMManager: explicit flush/poll/prewarm to prevent Ollama CPU-spill bug - agent_factory: build_medium_agent and build_complex_agent using deepagents (TodoListMiddleware + SubAgentMiddleware with research/memory subagents) - Fix: split Telegram replies >4000 chars into multiple messages - Benchmark: 30 questions (easy/medium/hard) — 10/10/10 verified passing easy→light, medium→medium, hard→complex with VRAM flush confirmed Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
44 lines
1.2 KiB
YAML
44 lines
1.2 KiB
YAML
services:
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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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- OLLAMA_BASE_URL=http://host.docker.internal:11436
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- DEEPAGENTS_MODEL=qwen3:4b
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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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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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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 (qwen2.5:1.5b) runs on GPU after reply — fast 2-5s extraction
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- OLLAMA_GPU_URL=http://host.docker.internal:11436
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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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