snowspeeder/hope-voice-api
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a66f09eb283a6a065f6d0c6d7a47ec74352770d5
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9 Commits
Author SHA1 Message Date
snowspeeder 360e3276b0 feat: switch LLM to OpenWebUI with live model selection
Rebuild & Deploy / rebuild (push) Successful in 3m18s
Details 
- 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 024c42ffb1 fix: require usable recipe task results
Rebuild & Deploy / rebuild (push) Successful in 49s
Details
2026-08-29 08:16:48 -04:00
snowspeeder cb035751d2 fix: route explicit online requests to tasks
Rebuild & Deploy / rebuild (push) Successful in 1m13s
Details
2026-08-29 08:13:03 -04:00
snowspeeder 63e15b6023 fix: restore controls after task completion
Rebuild & Deploy / rebuild (push) Successful in 1m6s
Details
2026-08-29 07:57:23 -04:00
snowspeeder 120ab192f1 feat: add seamless text and voice chat
Rebuild & Deploy / rebuild (push) Successful in 49s
Details
2026-08-29 07:49:29 -04:00
snowspeeder 321421e37f fix: reliably dispatch and return background tasks
Rebuild & Deploy / rebuild (push) Successful in 47s
Details
2026-08-29 07:29:38 -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