* feat(sse): add Vertex AI DeepSeek OCR transformation to the registry
Adds VERTEX_DEEPSEEK_TRANSFORMATION (request/response mapping for the
Vertex AI DeepSeek OCR MaaS endpoint) and registers the
"vertex-deepseek-ocr" provider in OCR_PROVIDERS, modeled on litellm's
VertexAIDeepSeekOCRConfig. buildRequest treats the resolved baseUrl as
the complete Vertex endpoint URL (project/location resolved upstream),
matching the existing Mistral passthrough pattern.
* feat(sse): resolve Vertex AI DeepSeek OCR auth and endpoint URL
Adds resolveVertexOcrAccessToken (mints a Vertex OAuth access token from
a Service Account JSON apiKey, reusing open-sse/executors/vertex.ts's
existing JWT-bearer exchange — no new OAuth flow) and
resolveVertexOcrBaseUrl (derives the project/location "openapi/chat/
completions" endpoint from providerSpecificData or the Service Account
JSON's project_id). Both live in open-sse/handlers/ocr.ts, not the
src/app/api/v1/ocr route, since routes may not import executor
implementations directly (EXECUTOR_IMPORT_RESTRICTION in
eslint.config.mjs) — the route re-exports/consumes them across that
boundary. handleOcr now prefers credentials.accessToken over apiKey so
the minted token (not the raw Service Account JSON) is sent upstream.
* docs(api): document the vertex-deepseek-ocr /v1/ocr provider
Adds the vertex-deepseek-ocr row to the /v1/ocr provider table and a
short section on its Vertex AI auth/endpoint resolution, and lists the
new provider/model id in openapi.yaml alongside mistral and
azure-document-intelligence.
* docs(skills): regenerate omni-inference skill for the Vertex OCR provider
---------
Co-authored-by: Xiangzhe <bakryun0718@proton.me>
* feat(ocr): transformation layer on ocrRegistry (Mistral shape canonical)
* feat(ocr): Azure Document Intelligence provider (prebuilt-read, analyze+poll)
* feat(ocr): generic dispatch with per-provider transformation and DI poll loop
* test(ocr): align sanitized-500 assert with HR#12 error sanitization
The test's own title ("returns a sanitized 500") describes the new
behavior mandated by HR#12 (never leak err.message in a response body).
The old regex asserted the pre-sanitization leak (`OCR request failed:
socket closed`) as expected output, which contradicted its own title
and the sanitization this task intentionally introduced in
open-sse/handlers/ocr.ts. Scoped to this single assertion only.
* fix(ocr): fail fast on non-ok poll responses instead of misleading 504
pollOcrOperation now checks pollRes.ok and returns a sanitized 502
immediately (logging the upstream status via console.error) instead of
looping until the 30-attempt cap and surfacing a misleading timeout for
what was actually an auth/upstream error during polling.
* feat(ocr): route/docs for multi-provider /v1/ocr
- Route: map the connection's providerSpecificData.baseUrl onto
credentials.baseUrl (resolveOcrCredentials) so azure-document-intelligence
connections resolve their endpoint the same way every other custom-endpoint
provider does (src/lib/providers/validation/*); previously handleOcr only
saw a baseUrl when a caller set it directly, so the DB-backed Azure
connection endpoint was never forwarded.
- v1OcrSchema.model is already a free-form string, no schema change needed.
- Docs: add the /v1/ocr provider table + example + Azure poll-flow note to
API_REFERENCE.md, and describe the provider/model prefix + async poll
behavior in openapi.yaml.
- Test: tests/unit/ocr-route-contract.test.ts covers getAllOcrModels/
parseOcrModel for both providers and resolveOcrCredentials's mapping.
* chore(quality): rebaseline deadExports for the OCR/image-to-text series
* docs(skills): regenerate omni-inference skill for the multi-provider /v1/ocr
The generated agent skill mirrors docs/reference/API_REFERENCE.md; updating the
/v1/ocr section left it stale and tripped the merge-integrity gate.
---------
Co-authored-by: Xiangzhe <bakryun0718@proton.me>
