Integrate Bifrost LLM gateway, add test suite, implement memory pipeline

- 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>

docker-compose.yml

@@ -1,4 +1,19 @@
 services:
+  bifrost:
+    image: maximhq/bifrost
+    container_name: bifrost
+    ports:
+      - "8080:8080"
+    volumes:
+      - ./bifrost-config.json:/app/data/config.json:ro
+    environment:
+      - APP_DIR=/app/data
+      - APP_PORT=8080
+      - LOG_LEVEL=info
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
+    restart: unless-stopped
+
   deepagents:
     build: .
     container_name: deepagents
@@ -6,8 +21,11 @@ services:
       - "8000:8000"
     environment:
       - PYTHONUNBUFFERED=1
+      # Bifrost gateway — all LLM inference goes through here
+      - BIFROST_URL=http://bifrost:8080/v1
+      # Direct Ollama GPU URL — used only by VRAMManager for flush/prewarm
       - OLLAMA_BASE_URL=http://host.docker.internal:11436
-      - DEEPAGENTS_MODEL=qwen3:4b
+      - DEEPAGENTS_MODEL=qwen2.5:1.5b
       - DEEPAGENTS_COMPLEX_MODEL=qwen3:8b
       - DEEPAGENTS_ROUTER_MODEL=qwen2.5:1.5b
       - SEARXNG_URL=http://host.docker.internal:11437
@@ -19,6 +37,7 @@ services:
       - openmemory
       - grammy
       - crawl4ai
+      - bifrost
     restart: unless-stopped
 
   openmemory:
@@ -27,8 +46,9 @@ services:
     ports:
       - "8765:8765"
     environment:
-      # Extraction LLM (qwen2.5:1.5b) runs on GPU after reply — fast 2-5s extraction
+      # Extraction LLM runs on GPU — qwen2.5:1.5b for speed (~3s)
       - OLLAMA_GPU_URL=http://host.docker.internal:11436
+      - OLLAMA_EXTRACTION_MODEL=qwen2.5:1.5b
       # Embedding (nomic-embed-text) runs on CPU — fast enough for search (50-150ms)
       - OLLAMA_CPU_URL=http://host.docker.internal:11435
     extra_hosts: