Files
mcp-nextcloud/nextcloud_mcp_server/embedding
Chris Coutinho d84a95842f feat(embedding): gateway provider discovers dimension via GET /v1/models
External-mode tenant pods CrashLoop at startup: Qdrant collection init calls
get_dimension() before any embed(), but GatewayProvider only learns its
dimension lazily after the first embed, and the gateway model isn't an OpenAI
model so the base class can't know it statically.

- Add GatewayProvider._detect_dimension() — the async startup hook the
  vector-sync bootstrap already invokes (vector/qdrant_client.py:
  hasattr(provider, "_detect_dimension")) for Ollama. It GETs the gateway's
  GET /v1/models and sets _dimension from the entry whose id matches the
  configured model. Best-effort: any failure (old gateway, model absent,
  network) leaves _dimension unset so the inherited lazy detect-on-first-embed
  still applies — never fatal. Presents the M2M bearer when configured.
- Switch the default embedding_gateway_model to the gateway's provider-
  namespaced id "mistral/mistral-embed" (the gateway routes on the "/"-prefix
  and sends "mistral-embed" upstream); collapse a duplicated config field.

Pairs with astrolabe-cloud-website#229 (gateway /v1/models, namespaced ids).

Tests: discovery sets dim w/o embed, sends bearer, non-fatal on
404/absent/error, skips when already known.
2026-05-31 23:43:19 +02:00
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