Interface MistralAIInput

interface MistralAIInput {
    apiKey?: string;
    batchSize?: number;
    endpoint?: string;
    maxTokens?: number;
    model?: string;
    randomSeed?: number;
    streaming?: boolean;
    temperature?: number;
    topP?: number;
}

Hierarchy (view full)

Implemented by

Properties

apiKey? batchSize? endpoint? maxTokens? model? randomSeed? streaming? temperature? topP?

Properties

Optional apiKey

apiKey?: string

The API key to use.

Default

{process.env.MISTRAL_API_KEY}

Optional batchSize

batchSize?: number

Batch size to use when passing multiple documents to generate

Optional endpoint

endpoint?: string

Override the default endpoint.

Optional maxTokens

maxTokens?: number

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.

Optional model

model?: string

The name of the model to use.

Default

"codestral-latest"

Optional randomSeed

randomSeed?: number

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

Optional streaming

streaming?: boolean

Whether or not to stream the response.

Default

{false}

Optional temperature

temperature?: number

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}

Optional topP

topP?: number

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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