> POST /v1/embeddings — vector embeddings for text. # Embeddings Create vector embeddings. OpenAI-compatible request and response shape. ``` POST /v1/embeddings ``` ## Request ```json { "model": "text-embedding-3-small", "input": ["Hello world", "Another string"] } ``` Supports: - Single string or array of strings - Routing config slugs (`@embeddings`) just like chat completions - OpenAI, Google, Cohere, and Voyage embedding models through their respective providers ## Response ```json { "object": "list", "data": [ { "object": "embedding", "index": 0, "embedding": [0.012, -0.034, ...] }, { "object": "embedding", "index": 1, "embedding": [0.056, 0.089, ...] } ], "model": "text-embedding-3-small", "usage": { "prompt_tokens": 10, "total_tokens": 10 } } ``` ## Dimensions Pass `dimensions: N` to request a specific vector dimensionality (where the provider supports it, e.g. `text-embedding-3-small` and `text-embedding-3-large`).