Interface AnthropicInput

Input to AnthropicChat class.

⚠️ Deprecated ⚠️

Install and import from the "@langchain/anthropic" integration package instead.

This feature is deprecated and will be removed in the future.

It is not recommended for use.

interface AnthropicInput {
    clientOptions: ClientOptions;
    maxTokensToSample: number;
    modelName: string;
    anthropicApiKey?: string;
    anthropicApiUrl?: string;
    invocationKwargs?: Kwargs;
    stopSequences?: string[];
    streaming?: boolean;
    temperature?: number;
    topK?: number;
    topP?: number;
}

Implemented by

Properties

clientOptions maxTokensToSample modelName anthropicApiKey? anthropicApiUrl? invocationKwargs? stopSequences? streaming? temperature? topK? topP?

Properties

clientOptions

clientOptions: ClientOptions

Overridable Anthropic ClientOptions

maxTokensToSample

maxTokensToSample: number

A maximum number of tokens to generate before stopping.

modelName

modelName: string

Model name to use

Optional anthropicApiKey

anthropicApiKey?: string

Anthropic API key

Optional anthropicApiUrl

anthropicApiUrl?: string

Anthropic API URL

Optional invocationKwargs

invocationKwargs?: Kwargs

Holds any additional parameters that are valid to pass to anthropic.complete that are not explicitly specified on this class.

Optional stopSequences

stopSequences?: string[]

A list of strings upon which to stop generating. You probably want ["\n\nHuman:"], as that's the cue for the next turn in the dialog agent.

Optional streaming

streaming?: boolean

Whether to stream the results or not

Optional temperature

temperature?: number

Amount of randomness injected into the response. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and temp closer to 1 for creative and generative tasks.

Optional topK

topK?: number

Only sample from the top K options for each subsequent token. Used to remove "long tail" low probability responses. Defaults to -1, which disables it.

Optional topP

topP?: number

Does nucleus sampling, in which we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by top_p. Defaults to -1, which disables it. Note that you should either alter temperature or top_p, but not both.

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