1{"title":"Body","body":{"description":"Embedding creation request parameters","content":{"application/json":{"schema":{"type":"object","required":["model","input"],"properties":{"dimensions":{"type":["integer","null"],"format":"int32","description":"The number of dimensions the resulting output embeddings should have. Only supported in `text-embedding-3` and later models.","minimum":0},"encoding_format":{"oneOf":[{"type":"null"},{"description":"The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/).","type":"string","enum":["float","base64"],"title":"EncodingFormat"}]},"input":{"description":"Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single\nrequest, pass an array of strings or array of token arrays. The input must not exceed the max\ninput tokens for the model (8192 tokens for all embedding models), cannot be an empty string, and\nany array must be 2048 dimensions or less. [Example Python\ncode](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.\nIn addition to the per-input token limit, all embedding  models enforce a maximum of 300,000\ntokens summed across all inputs in a  single request.","oneOf":[{"type":"string"},{"type":"array","items":{"type":"string"}},{"type":"array","items":{"type":"integer","format":"int32","minimum":0}},{"type":"array","items":{"type":"array","items":{"type":"integer","format":"int32","minimum":0}}}],"title":"EmbeddingInput"},"model":{"type":"string","description":"ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list)\nAPI to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models)\nfor descriptions of them."},"user":{"type":["string","null"],"description":"A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.\n[Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids)."}},"title":"CreateEmbeddingRequest"},"example":{"input":"The food was delicious and the waiter...","model":"text-embedding-ada-002","encoding_format":"float"}}},"required":true}}

1{"title":"Body","body":{"description":"Embedding creation request parameters","content":{"application/json":{"schema":{"type":"object","required":["model","input"],"properties":{"dimensions":{"type":["integer","null"],"format":"int32","description":"The number of dimensions the resulting output embeddings should have. Only supported in `text-embedding-3` and later models.","minimum":0},"encoding_format":{"oneOf":[{"type":"null"},{"description":"The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/).","type":"string","enum":["float","base64"],"title":"EncodingFormat"}]},"input":{"description":"Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single\nrequest, pass an array of strings or array of token arrays. The input must not exceed the max\ninput tokens for the model (8192 tokens for all embedding models), cannot be an empty string, and\nany array must be 2048 dimensions or less. [Example Python\ncode](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.\nIn addition to the per-input token limit, all embedding  models enforce a maximum of 300,000\ntokens summed across all inputs in a  single request.","oneOf":[{"type":"string"},{"type":"array","items":{"type":"string"}},{"type":"array","items":{"type":"integer","format":"int32","minimum":0}},{"type":"array","items":{"type":"array","items":{"type":"integer","format":"int32","minimum":0}}}],"title":"EmbeddingInput"},"model":{"type":"string","description":"ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list)\nAPI to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models)\nfor descriptions of them."},"user":{"type":["string","null"],"description":"A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.\n[Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids)."}},"title":"CreateEmbeddingRequest"},"example":{"input":"The food was delicious and the waiter...","model":"text-embedding-ada-002","encoding_format":"float"}}},"required":true}}