Documentation Index
Fetch the complete documentation index at: /llms.txt
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Create text embeddings with VoidAI using a string or array of strings and a supported embedding model.
POST https://api.voidai.app/v1/embeddings
Requires authentication and a model that advertises /v1/embeddings.
| Field | Type | Description |
|---|---|---|
model | string, required | Exact embedding model ID, such as text-embedding-3-small. |
input | string or array of strings, required | Text to embed. Token-ID arrays are not accepted by this gateway schema. |
encoding_format | string | float or base64, subject to provider support. |
dimensions | number | Requested dimensions where supported by the model. |
curl https://api.voidai.app/v1/embeddings \
-H "Authorization: Bearer $VOIDAI_API_KEY" \
-H 'Content-Type: application/json' \
-d '{"model":"text-embedding-3-small","input":"Text to embed"}'
data array with each embedding and its input index, plus model and token usage. Check current model pricing; do not assume a universal fixed embedding cost.