Files
OmniRoute/tests/unit
Diego Rodrigues de Sa e Souza 7837e46908 feat(ocr): Vertex AI DeepSeek-OCR provider (#10398)
* 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>
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