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CohereLLM

Cohere API implementation using the async client for concurrent text generation.

Attributes

  • model: the name of the model from the Cohere API to use for the generation.

  • base_url: the base URL to use for the Cohere API requests. Defaults to "https://api.cohere.ai/v1".

  • api_key: the API key to authenticate the requests to the Cohere API. Defaults to the value of the COHERE_API_KEY environment variable.

  • timeout: the maximum time in seconds to wait for a response from the API. Defaults to 120.

  • client_name: the name of the client to use for the API requests. Defaults to "distilabel".

  • structured_output: a dictionary containing the structured output configuration configuration using instructor. You can take a look at the dictionary structure in InstructorStructuredOutputType from distilabel.steps.tasks.structured_outputs.instructor.

  • _ChatMessage: the ChatMessage class from the cohere package.

  • _aclient: the AsyncClient client from the cohere package.

Runtime Parameters

  • base_url: the base URL to use for the Cohere API requests. Defaults to "https://api.cohere.ai/v1".

  • api_key: the API key to authenticate the requests to the Cohere API. Defaults to the value of the COHERE_API_KEY environment variable.

  • timeout: the maximum time in seconds to wait for a response from the API. Defaults to 120.

  • client_name: the name of the client to use for the API requests. Defaults to "distilabel".

Examples

Generate text

from distilabel.llms import CohereLLM

llm = CohereLLM(model="CohereForAI/c4ai-command-r-plus")

llm.load()

# Call the model
output = llm.generate_outputs(inputs=[[{"role": "user", "content": "Hello world!"}]])

Generate structured data: