UNPKG

regent-ai

Version:

An AI multi-agent orchestration framework

36 lines 1.68 kB
import { ChatCompletionTool } from "openai/resources/index.mjs"; import type { AgentRunResult, AnyChatMessage, ChatCompletionOptions, ChatInputMessage, Context, ToolObject } from "../types"; export declare abstract class BaseAgent { readonly name: string; readonly description: string; protected readonly systemMessage: string; protected abstract defaultOptions: ChatCompletionOptions; protected options: ChatCompletionOptions; constructor(name: string, description: string, systemMessage: string); protected abstract getSystemMessage(context?: Context): ChatInputMessage; protected getToolsFromToolObjects(toolObjects: ToolObject[]): ChatCompletionTool[]; protected abstract getTools(): ChatCompletionTool[]; abstract run(conversationId: string, messages: AnyChatMessage[], context: Context): Promise<AgentRunResult>; protected _getCompletion(messages: ChatInputMessage[], conversationId: string): Promise<{ completion: ChatCompletion; logEntry: { conversationId: string; agent: string; lastInputMessage: ChatCompletionMessageParam; completionInfo: { completionChoicesCount: any; finishReason: any; toolsCallCount: any; toolCall: { functionName: any; functionArguments: any; }; content: any; }; usage: any; _inputMessages: ChatCompletionMessageParam[]; }; }>; protected updateContextLog(currentContext: Context, content: Context): Context<any>; } //# sourceMappingURL=Agent.d.ts.map