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• chunking_settings object

  Chunking configuration object

  Hide chunking_settings attributes Show chunking_settings attributes object

  • 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 anthropic.

• service_settings object Required
  Hide service_settings attributes Show service_settings attributes object

  • api_key string Required

    A valid API key for the Anthropic API.

  • model_id string Required

    The name of the model to use for the inference task. Refer to the Anthropic documentation for the list of supported models.

  • 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
  Hide task_settings attributes Show task_settings attributes object

  • max_tokens number Required

    For a completion task, it is the maximum number of tokens to generate before stopping.

  • temperature number

    For a completion task, it is the amount of randomness injected into the response. For more details about the supported range, refer to Anthropic documentation.

    External documentation
  • top_k number

    For a completion task, it specifies to only sample from the top K options for each subsequent token. It is recommended for advanced use cases only. You usually only need to use temperature.

  • top_p number

    For a completion task, it specifies to use Anthropic's nucleus sampling. In nucleus sampling, Anthropic computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches the specified probability. You should either alter temperature or top_p, but not both. It is recommended for advanced use cases only. You usually only need to use temperature.