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Copy pathvscode.proposed.languageModelThinkingPart.d.ts
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109 lines (93 loc) · 4.15 KB
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/*---------------------------------------------------------------------------------------------
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT License. See License.txt in the project root for license information.
*--------------------------------------------------------------------------------------------*/
declare module 'vscode' {
/**
* A language model response part containing thinking/reasoning content.
* Thinking tokens represent the model's internal reasoning process that
* typically streams before the final response.
*/
export class LanguageModelThinkingPart {
/**
* The thinking/reasoning text content.
*/
value: string | string[];
/**
* Optional unique identifier for this thinking sequence.
* This ID is typically provided at the end of the thinking stream
* and can be used for retrieval or reference purposes.
*/
id?: string;
/**
* Optional metadata associated with this thinking sequence.
*/
metadata?: { readonly [key: string]: any };
/**
* Construct a thinking part with the given content.
* @param value The thinking text content.
* @param id Optional unique identifier for this thinking sequence.
* @param metadata Optional metadata associated with this thinking sequence.
*/
constructor(value: string | string[], id?: string, metadata?: { readonly [key: string]: any });
}
export interface LanguageModelChatResponse {
/**
* An async iterable that is a stream of text, thinking, and tool-call parts forming the overall response.
* This includes {@link LanguageModelThinkingPart} which represents the model's internal reasoning process.
*/
stream: AsyncIterable<LanguageModelTextPart | LanguageModelThinkingPart | LanguageModelToolCallPart | unknown>;
}
export interface LanguageModelChat {
sendRequest(messages: Array<LanguageModelChatMessage | LanguageModelChatMessage2>, options?: LanguageModelChatRequestOptions, token?: CancellationToken): Thenable<LanguageModelChatResponse>;
countTokens(text: string | LanguageModelChatMessage | LanguageModelChatMessage2, token?: CancellationToken): Thenable<number>;
}
/**
* Represents a message in a chat. Can assume different roles, like user or assistant.
*/
export class LanguageModelChatMessage2 {
/**
* Utility to create a new user message.
*
* @param content The content of the message.
* @param name The optional name of a user for the message.
*/
static User(content: string | Array<LanguageModelTextPart | LanguageModelToolResultPart | LanguageModelDataPart>, name?: string): LanguageModelChatMessage2;
/**
* Utility to create a new assistant message.
*
* @param content The content of the message.
* @param name The optional name of a user for the message.
*/
static Assistant(content: string | Array<LanguageModelTextPart | LanguageModelToolCallPart | LanguageModelDataPart>, name?: string): LanguageModelChatMessage2;
/**
* The role of this message.
*/
role: LanguageModelChatMessageRole;
/**
* A string or heterogeneous array of things that a message can contain as content. Some parts may be message-type
* specific for some models.
*/
content: Array<LanguageModelTextPart | LanguageModelToolResultPart | LanguageModelToolCallPart | LanguageModelDataPart | LanguageModelThinkingPart>;
/**
* The optional name of a user for this message.
*/
name: string | undefined;
/**
* Create a new user message.
*
* @param role The role of the message.
* @param content The content of the message.
* @param name The optional name of a user for the message.
*/
constructor(role: LanguageModelChatMessageRole, content: string | Array<LanguageModelTextPart | LanguageModelToolResultPart | LanguageModelToolCallPart | LanguageModelDataPart | LanguageModelThinkingPart>, name?: string);
}
/**
* Temporary alias for LanguageModelToolResultPart to avoid breaking changes in chat.
*/
export class LanguageModelToolResultPart2 extends LanguageModelToolResultPart { }
/**
* Temporary alias for LanguageModelToolResult to avoid breaking changes in chat.
*/
export class LanguageModelToolResult2 extends LanguageModelToolResult { }
}