alvis 1ca2351488 fix(clustering): route embeddings through LiteLLM instead of Ollama directly ...

The old code called Ollama's /api/embeddings one task at a time, which caused
silent fallback to project-based grouping when host.docker.internal:11434 was
unreachable from the ml-serving container.

- Switch to LiteLLM /embeddings (model alias "embedder") as primary path
- Batch all task contents in one request instead of N serial calls
- Fall back to Ollama /api/embed (updated to current API) when LITELLM_URL is absent
- Update tests to mock _embed_batch instead of the removed _embed

Fixes #123

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-05-12 13:42:53 +00:00

..

__init__.py

feat(ml): multi-agent context framework + v4 orchestrator prompt

2026-05-04 10:20:05 +00:00

test_agents.py

feat(integrations): add Google Health (Fit) integration with full permissions

2026-05-11 11:12:11 +00:00

test_clustering.py

fix(clustering): route embeddings through LiteLLM instead of Ollama directly

2026-05-12 13:42:53 +00:00

test_inference.py

feat(agents): quiet window + peak hours + tz prefs for time-of-day agent (#112)

2026-05-06 06:05:51 +00:00

test_manifest.py

feat(agents): manifest plumbing + GET /agents/registry (ADR-0014 step 3)

2026-05-05 10:55:54 +00:00

test_per_agent_inference.py

feat(agents): semantic task clustering + focus-area inferred preferred_areas (#97, #113)

2026-05-06 06:54:46 +00:00