@unified-llm/core/dist/providers/google/gemini-agent.d.ts

Unified LLM interface (in-memory).

import { Thread } from "../../thread.js";
import type { MCPServerConfig, Logger } from "../../types/index.js";
import type { Usage } from "../../types/usage.js";
import { Clock } from "../../utils/timing.js";
import { type OpenAiTool } from "../../utils/mcp/mcp-tool-catalog.js";
import { type LocalToolHandler } from "../../utils/tools/execute-tool-calls.js";
type StructuredOutput = {
    format: {
        type: "json_schema";
        name: string;
        schema: unknown;
        strict?: boolean;
    };
};
type TruncationOption = string;
/**
 * Gemini API を用いた Agent 実行（MCP/ローカルツール対応）。
 *
 * 処理概要:
 * 1) MCP サーバーへ接続して tool catalog を構築
 * 2) local tools を合成し、名前衝突等を検査
 * 3) runToolCallingLoop で LLM→tool→LLM を回す
 * 4) 最終レスポンスからテキストのみを抽出して返す
 */
export declare function callGeminiAgent(options: {
    model: string;
    apiKey?: string;
    endpoint?: string;
    isStream?: boolean;
    baseInput: any[];
    thread?: Thread;
    structuredOutput?: StructuredOutput;
    mcpServers?: MCPServerConfig[];
    localTools?: {
        tools: OpenAiTool[];
        handlers: Map<string, LocalToolHandler>;
    };
    config?: {
        temperature?: number;
        truncation?: TruncationOption;
    };
    sseCallback?: (event: any) => void;
    signal?: AbortSignal;
    logger?: Logger;
    clock?: Clock;
}): Promise<{
    output: string | unknown;
    usage: Usage;
    rawResponse: unknown;
}>;
export {};
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