import { ToolCallEngine, Tool, PrepareRequestContext, ChatCompletionCreateParams, ChatCompletionChunk, MultimodalToolCallResult, AgentSingleLoopReponse, ChatCompletionMessageParam, ParsedModelResponse, StreamProcessingState, StreamChunkResult } from '@multimodal/agent-interface';
/**
 * StructuredOutputsToolCallEngine - Uses structured outputs (JSON Schema) for tool calls
 *
 * This approach instructs the model to return a structured JSON response
 * with tool call information, avoiding the need to parse
 * tool call markers from text content.
 */
export declare class StructuredOutputsToolCallEngine implements ToolCallEngine {
    private logger;
    /**
     * Prepare the system prompt with tool definitions
     *
     * @param basePrompt The base system prompt
     * @param tools Available tools for the agent
     * @returns Enhanced system prompt with tool information
     */
    preparePrompt(basePrompt: string, tools: Tool[]): string;
    /**
     * Prepare the request parameters for the LLM call
     *
     * @param context The request context
     * @returns ChatCompletionCreateParams with structured outputs configuration
     */
    prepareRequest(context: PrepareRequestContext): ChatCompletionCreateParams;
    /**
     * Initialize stream processing state for structured outputs
     * Adding lastExtractedContent to track what's been extracted from JSON for incremental updates
     */
    initStreamProcessingState(): StreamProcessingState;
    /**
     * Process a streaming chunk for structured outputs
     * Improved to properly handle incremental JSON content extraction
     */
    processStreamingChunk(chunk: ChatCompletionChunk, state: StreamProcessingState): StreamChunkResult;
    /**
     * Finalize the stream processing and extract the final response
     */
    finalizeStreamProcessing(state: StreamProcessingState): ParsedModelResponse;
    /**
     * Check if the text might be in the process of building a JSON object
     */
    private mightBeCollectingJson;
    /**
     * Build a historical assistant message for conversation history
     *
     * For structured outputs, we maintain the original content without tool_calls
     * to ensure compatibility with our JSON schema approach.
     *
     * @param response The agent's response
     * @returns Formatted message parameter for conversation history
     */
    buildHistoricalAssistantMessage(response: AgentSingleLoopReponse): ChatCompletionMessageParam;
    /**
     * Build historical tool call result messages for conversation history
     *
     * For structured outputs engine, we format results as user messages
     * to maintain consistency with our JSON schema approach.
     *
     * @param results The tool call results
     * @returns Array of formatted message parameters
     */
    buildHistoricalToolCallResultMessages(results: MultimodalToolCallResult[]): ChatCompletionMessageParam[];
}
//# sourceMappingURL=StructuredOutputsToolCallEngine.d.ts.map