/**
 * Shared utilities for MCP sampling
 *
 * Common functions used by both the provider and custom handler implementations.
 */ import type { CreateMessageRequest } from "@modelcontextprotocol/sdk/types.js";
import type { ModelMessage } from "ai";
/**
 * AI SDK compatible message format
 */ export type AISDKMessage = ModelMessage;
/**
 * Convert AI SDK finish reason to MCP stop reason
 *
 * @param finishReason - AI SDK finish reason
 * @returns MCP stop reason
 */ export declare function convertAISDKFinishReasonToMCP(finishReason?: string): "endTurn" | "stopSequence" | "maxTokens";
/**
 * Convert MCP tools to AI SDK tools format
 *
 * This is used in client sampling to convert tools from the MCP server's
 * createMessage request into AI SDK tool format that can be passed to generateText.
 *
 * Note: This function does NOT provide execute implementations because in client sampling,
 * tool execution happens on the MCP server side, not the client side. The client just
 * returns tool-call content blocks which the server will then execute.
 *
 * @param mcpTools - Array of MCP Tool definitions from server's createMessage request
 * @param helpers - AI SDK helper functions (tool and jsonSchema from "ai" package)
 * @returns AI SDK tools object or undefined if no tools
 *
 * @example
 * ```typescript
 * import { tool, jsonSchema, generateText } from "ai";
 * import { convertMCPToolsToAISDK } from "@mcpc/mcp-sampling-ai-provider";
 *
 * const aiTools = convertMCPToolsToAISDK(params.tools, { tool, jsonSchema });
 * const result = await generateText({
 *   model: modelId,
 *   messages: params.messages,
 *   tools: aiTools,  // Tools without execute - they're just for the LLM to know about
 * });
 * ```
 */ export declare function convertMCPToolsToAISDK(mcpTools?: CreateMessageRequest["params"]["tools"], helpers?: {
  tool: (...args: any[]) => any;
  jsonSchema: (...args: any[]) => any;
}): Record<string, any> | undefined;
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