5 Commits

Include renames

Author	SHA1	Message	Date
snowspeeder	a4ae96f01b	feat: default to qwen2.5-vl-3b and cap tool schema length constraints ... - Default LLM_MODEL to qwen2.5-vl-3b across agent, task worker, tests, compose, workflow, and docs - Cap min/max length-style constraints in tool schemas to 1000 before LLM requests; llama.cpp rejects grammar repetitions >= 2000 and the memory MCP's update_note body maxLength (200000) broke qwen2.5-vl-3b with 'Failed to initialize samplers: failed to parse grammar'	2026-08-29 12:46:20 -04:00
snowspeeder	360e3276b0	feat: switch LLM to OpenWebUI with live model selection ... - Point the agent at OpenWebUI's OpenAI-compatible API (LLM_BASE_URL, LLM_API_KEY, LLM_MODEL) with GEMMA_* env fallbacks - Add list_available_models() fetching {base_url}/models, filtering non-chat ids (embedding/reranker) - Rename GemmaLLM -> HopeLLM with update_options(model=...) for runtime model switching (mutates _opts.model) and instance-based compaction - Data channel: agent publishes {type: models} after connect and on get_models; set_model switches live and acks model_changed - Web UI: Brain section in the settings sheet with a model picker that persists the choice in localStorage - Update tests, CI workflow env, and docs for the new endpoint	2026-08-29 12:09:03 -04:00
snowspeeder	c940923539	feat: connect Shane voice sessions to memory	2026-08-28 16:22:18 -04:00
Shane	c815bcb485	feat: replace custom memory MCP with Cognee remote server ... - Remove memory_mcp.py (stdio markdown-file memory) - Add Cognee MCP as remote Streamable HTTP toolset at 192.168.86.2:8003/mcp - Filter to only remember/recall/forget tools via allowed_tools - Update system prompt: Memory section moved to top priority with explicit 'call recall FIRST' instructions and examples - Add COGNEE_MCP_URL env var to docker-compose - Remove /memory volume mount (no longer needed) - Rewrite memory tests to use Cognee HTTP client fixture - 28/28 tests passing	2026-08-23 08:10:42 -04:00
Shane	a1d59580f7	fix: ChatContext is not a sequence — use .items for len/list; add test suite ... Bug fix: - GemmaLLM.chat(): len(chat_ctx) → len(chat_ctx.items) - GemmaLLM._compact_context(): list(chat_ctx) → list(chat_ctx.items) ChatContext in livekit-agents 1.7 is not iterable or sized directly; it exposes an .items list. The TypeError was silently killing all LLM responses (agent heard user but never spoke back). Test suite (tests/): - test_web_ui.py: static assets, token endpoint, LiveKit WS proxy - test_llm_api.py: completion, tool calling, thinking-disabled latency, streaming - test_mcp_tools.py: weather (Fahrenheit), time, memory, skills — all via docker exec + in-container MCP client - test_agent_integration.py: process alive, worker registered, supervisord, container health, LiveKit API - test_compaction.py: size-triggered compaction, system prompt preservation, short-context no-op - conftest.py: shared fixtures (HTTPS client, token, LLM, docker exec helpers) - Run with: .venv-tests/bin/python -m pytest tests/ -v	2026-08-22 17:09:29 -04:00