Interface MistralAIInput

interface MistralAIInput {
    apiKey?: string;
    batchSize?: number;
    cache?: boolean | BaseCache<Generation[]>;
    callbackManager?: CallbackManager;
    callbacks?: Callbacks;
    concurrency?: number;
    endpoint?: string;
    maxConcurrency?: number;
    maxRetries?: number;
    maxTokens?: number;
    metadata?: Record<string, unknown>;
    model?: string;
    onFailedAttempt?: FailedAttemptHandler;
    randomSeed?: number;
    streaming?: boolean;
    tags?: string[];
    temperature?: number;
    topP?: number;
    verbose?: boolean;
}

Hierarchy

  • BaseLLMParams
    • MistralAIInput

Implemented by

Properties

apiKey? batchSize? cache? callbackManager? callbacks? concurrency? endpoint? maxConcurrency? maxRetries? maxTokens? metadata? model? onFailedAttempt? randomSeed? streaming? tags? temperature? topP? verbose?

Properties

OptionalapiKey

apiKey?: string

The API key to use.

Default

{process.env.MISTRAL_API_KEY}

OptionalbatchSize

batchSize?: number

Batch size to use when passing multiple documents to generate

Optionalcache

cache?: boolean | BaseCache<Generation[]>

OptionalcallbackManager

callbackManager?: CallbackManager

Deprecated

Use callbacks instead

Optionalcallbacks

callbacks?: Callbacks

Optionalconcurrency

concurrency?: number

Deprecated

Use maxConcurrency instead

Optionalendpoint

endpoint?: string

Override the default endpoint.

OptionalmaxConcurrency

maxConcurrency?: number

The maximum number of concurrent calls that can be made. Defaults to Infinity, which means no limit.

OptionalmaxRetries

maxRetries?: number

The maximum number of retries that can be made for a single call, with an exponential backoff between each attempt. Defaults to 6.

OptionalmaxTokens

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.

Optionalmetadata

metadata?: Record<string, unknown>

Optionalmodel

model?: string

The name of the model to use.

Default

"codestral-latest"

OptionalonFailedAttempt

onFailedAttempt?: FailedAttemptHandler

Custom handler to handle failed attempts. Takes the originally thrown error object as input, and should itself throw an error if the input error is not retryable.

OptionalrandomSeed

randomSeed?: number

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

Optionalstreaming

streaming?: boolean

Whether or not to stream the response.

Default

{false}

Optionaltags

tags?: string[]

Optionaltemperature

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}

OptionaltopP

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}

Optionalverbose

verbose?: boolean

Settings

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Properties
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