import { ChatCompletionMessageParam, MultimodalToolCallResult } from '@multimodal/agent-interface';
/**
 * Builds chat completion messages from tool call results.
 *
 * This shared utility handles the conversion of tool call results into properly
 * formatted messages for different LLM engine types.
 *
 * For native engines (using OpenAI's tool protocol):
 * - Text content goes into a 'tool' role message
 * - Non-text content (like images) goes into a separate 'user' role message
 *
 * For non-native engines (Prompt Engineering & Structured Outputs):
 * - When only text is present: A single 'user' message with text content
 * - When multimodal content exists: A single 'user' message with an array of content parts,
 *   combining text and non-text elements (images, etc.)
 *
 * @param toolCallResults - Array of multimodal tool call results to process
 * @param isNativeEngine - Whether to format for native tool protocol (OpenAI)
 * @returns Array of properly formatted chat completion messages
 */
export declare function buildToolCallResultMessages(toolCallResults: MultimodalToolCallResult[], isNativeEngine?: boolean): ChatCompletionMessageParam[];
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