snowspeeder
360e3276b0
Rebuild & Deploy / rebuild (push) Successful in 3m18s
- 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
Hope test suite
End-to-end tests that drive the actual running container — no mocks. They run on the host and hit the live web UI, token endpoint, LLM API, MCP tool servers, and agent process.
Prerequisites
- The container is up:
docker compose up -d(and healthy) - Host deps installed:
pip install -r tests/requirements.txt(oruv pip install -r tests/requirements.txt) - The LLM at
LLM_BASE_URL(defaulthttp://192.168.86.2:3005/api, OpenWebUI) is reachable - Internet access for the weather tool tests (wttr.in)
Run
cd /home/shane/dev/voice
python -m pytest tests/ -v # everything
python -m pytest tests/ -v -m "not slow" # skip LLM/network-heavy tests
What each file covers
| File | Target | Notes |
|---|---|---|
test_web_ui.py |
nginx HTTPS UI (:9178) + token endpoint (:8091) | static assets, /token (direct + via nginx), /livekit/ proxy |
test_llm_api.py |
LLM API directly | completion, tool calling, enable_thinking=false latency, streaming |
test_mcp_tools.py |
MCP servers via docker exec |
weather/time, authenticated remote memory save/recall/delete, and local skills — probes are cleaned up |
test_agent_integration.py |
running container | agent process alive, worker registered with LiveKit, all 4 supervised processes up, container health, LiveKit HTTP API |
test_compaction.py |
HopeLLM._compact_context in-container |
compaction triggers >24 items, system prompt preserved, short context untouched |
Notes
- LLM and MCP tests are marked
@pytest.mark.slow(1–30s each). - The token endpoint is POST
/token→{"token": "<JWT>"}. - Process checks use
/proc/*/cmdlinebecause the container image has nops, and the supervisorctl unix socket is not exposed in this build.