import { type MonitoringLogger } from './MonitoringService.js';
/**
 * LLM Tool Utilities
 * Helper functions for instrumenting LLM tool calls with monitoring and token tracking
 * @packageDocumentation
 */
/**
 * Helper function for LLM tool calls with automatic token usage tracking
 * Wraps withToolMonitoring and adds token usage metric recording
 * Uses the singleton monitoringService instance to avoid memory leaks
 *
 * @param toolName - Name of the LLM tool (e.g., 'anthropic', 'gemini', 'grok')
 * @param modelName - Name of the model being used
 * @param internalCall - Function that performs the actual LLM call
 * @param logger - Optional logger for debugging
 * @returns Promise resolving to the LLM response with tokens field
 *
 * @example
 * ```typescript
 * async call(prompt: string): Promise<LLMResponse> {
 *   return withLLMToolCall('grok', this.model, async () => {
 *     return await this.internalCall(prompt);
 *   });
 * }
 * ```
 */
export declare function withLLMToolCall<T extends {
    tokens?: number;
}>(toolName: string, modelName: string, internalCall: () => Promise<T>, logger?: MonitoringLogger): Promise<T>;
export type { MonitoringLogger };
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