Class ChatMistralAI<CallOptions>

Integration with a chat model.

Type Parameters

Hierarchy (view full)

Implements

Constructors

Properties

apiKey: string

The API key to use.

{process.env.MISTRAL_API_KEY}
maxTokens: number

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

model: string = "mistral-small-latest"

The name of the model to use.

{"mistral-small-latest"}
modelName: string = "mistral-small-latest"

The name of the model to use. Alias for model

{"mistral-small-latest"}
safeMode: boolean = false

use safePrompt instead

safePrompt: boolean = false

Whether to inject a safety prompt before all conversations.

{false}
streamUsage: boolean = true

Whether or not to include token usage in the stream.

{true}
streaming: boolean = false

Whether or not to stream the response.

{false}
temperature: number = 0.7

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.

{0.7}
topP: number = 1

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

{1}
endpoint?: string

Override the default endpoint.

randomSeed?: number

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

seed?: number

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

Methods

  • Calls the MistralAI API with retry logic in case of failures.

    Parameters

    • input: ChatRequest

      The input to send to the MistralAI API.

    • streaming: true

    Returns Promise<AsyncGenerator<ChatCompletionResponseChunk, any, unknown>>

    The response from the MistralAI API.

  • Parameters

    • input: ChatRequest
    • streaming: false

    Returns Promise<ChatCompletionResponse>

  • Type Parameters

    • RunOutput extends Record<string, any> = Record<string, any>

    Parameters

    • outputSchema: any
    • Optionalconfig: any

    Returns Runnable<BaseLanguageModelInput, RunOutput>

  • Type Parameters

    • RunOutput extends Record<string, any> = Record<string, any>

    Parameters

    • outputSchema: any
    • Optionalconfig: any

    Returns Runnable<BaseLanguageModelInput, {
        parsed: RunOutput;
        raw: BaseMessage;
    }>