Carlos Garcia b23ab77ee9 fix: bot presence stays offline after vision model change ...

ping() was calling ollama.AsyncClient.list() which parses /api/tags with
ollama==0.3.3 pydantic models. Vision models carry metadata fields that 0.3.x
cannot deserialise, raising ValidationError -> OllamaUnavailableError. This
made the /health/detailed ollama field 'error: ...' instead of 'ok', so
ab_ai_bot.py REQUIRED_SYSTEMS check failed and the bot never went online even
though the service was up.

Fix: ping() now uses httpx GET /api/version — model-agnostic, no metadata
parsing, always fast regardless of which model is loaded.

Also fix LLMRouter to accept direct backend injection for testability
(ollama=, claude=, privacy_mode=, env_overrides= kwargs), add _env_overrides
lookup in hybrid get_backend(), and fix cloud mode to return ollama when
_claude is None. All 6 test_llm_router tests now pass.

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

2026-05-20 19:15:49 -04:00

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