Embeddings

ID of the model to use. Supported models are text-embedding-3-large, text-embedding-3-small, and text-embedding-ada-002.

nput text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for text-embedding-ada-002), cannot be an empty string, and any array must be 2048 dimensions or less.

The format to return the embeddings in. Can be either float or base64.

The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.

You can pass in your customer’s credentials for supported providers and use their credits when our proxy is calling models from those providers.
See details here

"customer_credentials": {

  "openai": {
    "api_key": "YOUR_OPENAI_API_KEY",
  }
}

When set to true, only the request and performance metrics will be recorded, input and output messages will be omitted from the log.

You can add any key-value pair to this metadata field for your reference. Check the details of metadata here.

Contact team@keywordsai.co if you need extra parameter support for your use case.

{
  "my_value_key": "my_value"
}

Use this as a tag to identify the user associated with the API call. See the details of customer identifier here.

{
    //...other_params,
    "customer_identifier": "user_123"
}

This is the email address of the user associated with the API call. You can add your corresponding user’s email address to the request.

You could also edit customer’s emails on the platform. Check the details of user editing here.

{
    //...other_params,
    "customer_email": "hendrix@keywordsai.co"
}

See logs as a conversation log thread. Pass all logs with the same thread_identifier to see them in the same thread.

{
    //...other_params,
    "thread_identifier": "test_thread"
}

Adding this returns the summarization of the response in the response body. If streaming is on, the metrics will be streamed as the last chunk.