agsamantha/node_modules/@langchain/community/dist/llms/raycast.d.ts

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2024-10-02 20:15:21 +00:00
import { AI } from "@raycast/api";
import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
/**
* The input parameters for the RaycastAI class, which extends the BaseLLMParams interface.
*/
export interface RaycastAIInput extends BaseLLMParams {
model?: AI.Model;
creativity?: number;
rateLimitPerMinute?: number;
}
/**
* The RaycastAI class, which extends the LLM class and implements the RaycastAIInput interface.
*/
export declare class RaycastAI extends LLM implements RaycastAIInput {
lc_serializable: boolean;
/**
* The model to use for generating text.
*/
model: AI.Model;
/**
* The creativity parameter, also known as the "temperature".
*/
creativity: number;
/**
* The rate limit for API calls, in requests per minute.
*/
rateLimitPerMinute: number;
/**
* The timestamp of the last API call, used to enforce the rate limit.
*/
private lastCallTimestamp;
/**
* Creates a new instance of the RaycastAI class.
* @param {RaycastAIInput} fields The input parameters for the RaycastAI class.
* @throws {Error} If the Raycast AI environment is not accessible.
*/
constructor(fields: RaycastAIInput);
/**
* Returns the type of the LLM, which is "raycast_ai".
* @return {string} The type of the LLM.
* @ignore
*/
_llmType(): string;
/**
* Calls AI.ask with the given prompt and returns the generated text.
* @param {string} prompt The prompt to generate text from.
* @return {Promise<string>} A Promise that resolves to the generated text.
* @ignore
*/
_call(prompt: string, options: this["ParsedCallOptions"]): Promise<string>;
}