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622f98ade5
* feat(embeddings): forward GITNEXUS_EMBEDDING_DIMS as dimensions in HTTP request body
When GITNEXUS_EMBEDDING_DIMS is set, include it as the `dimensions` field
in the /v1/embeddings request body. This enables Matryoshka-capable models
(OpenAI text-embedding-3-*, Cohere embed-v3, Voyage) to return truncated
vectors at the requested size.
When the env var is unset, the request body remains `{ input, model }` —
no breaking change for backends that reject unknown fields.
Adds 4 unit tests covering both paths (with/without dimensions) on both
the batch embed and single-query embed code paths.
* fix(embeddings): address review findings — strict parseInt, multi-batch test, comment wording
1. Strict parseInt validation: reject non-numeric strings like '1024abc'
by checking /^\d+$/ before parseInt (Finding 1).
2. Add multi-batch test asserting dimensions is forwarded in every fetch
call when inputs exceed batch size (Finding 2).
3. Soften JSDoc comment: backends may ignore or reject the dimensions
field rather than universally ignoring it (Finding 3).
4. Add test for invalid GITNEXUS_EMBEDDING_DIMS values.
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Co-authored-by: henry <zhangwei2017@unipus.cn>
Co-authored-by: Gergő Magyar <gergomagyar@icloud.com>
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