Class MistralAI

The API key to use.

Default

{process.env.MISTRAL_API_KEY}
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Batch size to use when passing multiple documents to generate

The name of the model to use.

Default

"codestral-latest"
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Whether or not to stream the response.

Default

{false}
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What sampling temperature to use, between 0.0 and 2.0. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

Default

{0.7}
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Override the default endpoint.

The maximum number of tokens to generate in the completion. The token count of your prompt plus maxTokens cannot exceed the model's context length.

The seed to use for random sampling. If set, different calls will generate deterministic results. Alias for seed

Nucleus sampling, where the model considers the results of the tokens with topP probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. Should be between 0 and 1.

Default

{1}
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