Embeddings

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Example

const embedding = await client.generateEmbedding({
  model: "openai/text-embedding-3-large",
  input: "Sample text",
});

​

Key parameters

• model (required): Embedding model id (e.g., openai/text-embedding-3-large).
• input (required): String or array of strings.
• encoding_format: float (default) or base64.
• dimensions: Optional integer to truncate embedding length (model-dependent).
• user: Optional end-user tag.

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Returns

{
  "data": [
    {
      "embedding": [0.1, 0.2, 0.3],
      "index": 0
    }
  ],
  "usage": {
    "prompt_tokens": 5,
    "total_tokens": 5
  }
}