import type OpenAI from 'openai';
import type { AzureOpenAI } from 'openai';
import type { AgentLLMIntegration } from '../types';
import type { OpenAILlmIntegrationConfig } from './types';
/**
 * Creates an Arvo-compatible LLM Adapter for OpenAI and compatible models (e.g., Azure OpenAI).
 *
 * This factory configures an integration that bridges the generic `Arvo` agent runner with the specific
 * OpenAI API requirements. It includes built-in features for:
 *
 * - **Structured Outputs:** Automatically converts Zod schemas provided in `outputFormat` to OpenAI's `json_schema` format.
 * - **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 `OpenAI` or `AzureOpenAI` 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 openaiLLMIntegration: <TClient extends OpenAI | AzureOpenAI>(client: TClient, config?: OpenAILlmIntegrationConfig<TClient>) => AgentLLMIntegration;
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