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• chunking_settings object

  Chunking configuration object

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  • max_chunk_size number

    The maximum size of a chunk in words. This value cannot be higher than 300 or lower than 20 (for sentence strategy) or 10 (for word strategy).

    Default value is 250.

  • overlap number

    The number of overlapping words for chunks. It is applicable only to a word chunking strategy. This value cannot be higher than half the max_chunk_size value.

    Default value is 100.

  • sentence_overlap number

    The number of overlapping sentences for chunks. It is applicable only for a sentence chunking strategy. It can be either 1 or 0.

    Default value is 1.

  • strategy string

    The chunking strategy: sentence or word.

    Default value is sentence.

• service string Required

  Value is azureaistudio.

• service_settings object Required
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  • api_key string Required

    A valid API key of your Azure AI Studio model deployment. This key can be found on the overview page for your deployment in the management section of your Azure AI Studio account.

    IMPORTANT: You need to provide the API key only once, during the inference model creation. The get inference endpoint API does not retrieve your API key. After creating the inference model, you cannot change the associated API key. If you want to use a different API key, delete the inference model and recreate it with the same name and the updated API key.

    External documentation
  • endpoint_type string Required

    The type of endpoint that is available for deployment through Azure AI Studio: token or realtime. The token endpoint type is for "pay as you go" endpoints that are billed per token. The realtime endpoint type is for "real-time" endpoints that are billed per hour of usage.

    External documentation
  • target string Required

    The target URL of your Azure AI Studio model deployment. This can be found on the overview page for your deployment in the management section of your Azure AI Studio account.

  • provider string Required

    The model provider for your deployment. Note that some providers may support only certain task types. Supported providers include:

    • cohere - available for text_embedding and completion task types
    • databricks - available for completion task type only
    • meta - available for completion task type only
    • microsoft_phi - available for completion task type only
    • mistral - available for completion task type only
    • openai - available for text_embedding and completion task types
  • rate_limit object
    Hide rate_limit attribute Show rate_limit attribute object

    • requests_per_minute number

      The number of requests allowed per minute.

• task_settings object
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  • do_sample number

    For a completion task, instruct the inference process to perform sampling. It has no effect unless temperature or top_p is specified.

  • max_new_tokens number

    For a completion task, provide a hint for the maximum number of output tokens to be generated.

    Default value is 64.

  • temperature number

    For a completion task, control the apparent creativity of generated completions with a sampling temperature. It must be a number in the range of 0.0 to 2.0. It should not be used if top_p is specified.

  • top_p number

    For a completion task, make the model consider the results of the tokens with nucleus sampling probability. It is an alternative value to temperature and must be a number in the range of 0.0 to 2.0. It should not be used if temperature is specified.

  • user string

    For a text_embedding task, specify the user issuing the request. This information can be used for abuse detection.