import type Anthropic from '@anthropic-ai/sdk';
import type { AgentLLMIntegration } from '../types';
import type { AnthropicLlmIntegrationConfig } from './types';
/**
 * Creates an Arvo-compatible LLM Adapter for Anthropic Claude models.
 *
 * This factory configures an integration that bridges the generic `Arvo` agent runner with the specific
 * Anthropic API requirements. It includes built-in features for:
 *
 * - **Structured Outputs:** Automatically converts Zod schemas to JSON schema format and instructs
 *   Claude to respond with valid JSON matching the schema.
 * - **Token Optimization:** Automatically replaces large media payloads (images/files) with placeholder
 *   text in the conversational history after they have been processed once to reduce context window usage.
 * - **Observability:** Instruments calls with OpenInference-compliant OpenTelemetry attributes,
 *   including detailed input/output recording and token usage.
 * - **Safety:** Automatically injects a "tool limit reached" system instruction when the agent
 *   exhausts its configured tool budget.
 *
 * @param client - An initialized `Anthropic` SDK client instance.
 * @param config - Configuration for model parameters (e.g., temperature, max tokens), cost calculations, and telemetry metadata.
 * @returns An `AgentLLMIntegration` function ready for use with `createArvoAgent`.
 */
export declare const anthropicLLMIntegration: (client: Anthropic, config?: AnthropicLlmIntegrationConfig) => AgentLLMIntegration;
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