2 Commits

Include renames

Author	SHA1	Message	Date
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
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