regent-ai
Version:
An AI multi-agent orchestration framework
36 lines • 1.68 kB
TypeScript
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>;
}
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