New fast_tools.py module:
- FastTool base class (matches + run interface)
- RealTimeSearchTool: SearXNG search for weather/news/prices/scores
- FastToolRunner: classifier that checks all tools, runs matching
ones concurrently and returns combined context
Router accepts FastToolRunner; any_matches() forces medium tier
before LLM classification (replaces _MEDIUM_FORCE_PATTERNS regex).
agent.py: _REALTIME_RE and _searxng_search_async removed; pre-flight
gather now includes fast_tool_runner.run_matching() alongside URL
fetch and memory retrieval.
To add a new fast tool: subclass FastTool, add to the list in agent.py.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
