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Embeddings ​

POST /v1/embeddings

OpenAI-compatible embeddings endpoint.

Request ​

Body:

  • model (string) — Your embedding model name (in your account).
  • input (string | string[]).

Response ​

OpenAI-compatible embedding list format.

Example ​

ts
const res = await fetch("https://agents.missionsquad.ai/v1/embeddings", {
  method: "POST",
  headers: {
    "x-api-key": process.env.MSQ_API_KEY!,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "nomic-embed-text-v1.5",           // must be an embedding model you added
    input: ["First sentence", "Second sentence"]
  })
});
const data = await res.json();
console.log(data.data[0].embedding.length);

Unsupported Models ​

text-embedding-3-large is not supported due to vector dimension limits. Use text-embedding-3-small or another supported model instead (e.g., nomic-embed-text-v1.5). Requests with unsupported models will return a 400 with a clear message.

See also ​