import { ToolCallEngine, Tool, ToolCallEnginePrepareRequestContext, ChatCompletionCreateParams, ChatCompletionAssistantMessageParam, ChatCompletionChunk, MultimodalToolCallResult, AgentEventStream, ChatCompletionMessageParam, ParsedModelResponse, StreamProcessingState, StreamChunkResult } from '@ui-tars-test/tarko-agent-interface';
import { CustomActionParser } from '@ui-tars-test/shared/types';
/**
 * GUIAgentToolCallEngine - Minimal prompt engineering tool call engine
 *
 * This is the simplest possible implementation of a tool call engine that:
 * 1. Uses prompt engineering to instruct the LLM to output tool calls in a specific format
 * 2. Parses tool calls from LLM response text using simple regex matching
 * 3. Does not support streaming (focuses on core functionality only)
 *
 * Format used: <tool_call>{"name": "tool_name", "arguments": {...}}</tool_call>
 */
export declare class GUIAgentToolCallEngine extends ToolCallEngine {
    private customActionParser?;
    constructor(customActionParser?: CustomActionParser);
    /**
     * Prepare system prompt with tool information and instructions
     */
    preparePrompt(instructions: string, tools: Tool[]): string;
    /**
     * Prepare request parameters for the LLM
     *
     * FIXME: move to base tool call engine.
     */
    prepareRequest(context: ToolCallEnginePrepareRequestContext): ChatCompletionCreateParams;
    /**
     * Initialize processing state (minimal implementation)
     *
     * FIXME: move to base tool call engine.
     */
    initStreamProcessingState(): StreamProcessingState;
    /**
     * Process streaming chunks - simply accumulate content
     *
     * FIXME: make it optional
     */
    processStreamingChunk(chunk: ChatCompletionChunk, state: StreamProcessingState): StreamChunkResult;
    /**
     * Generate a tool call ID
     */
    private generateToolCallId;
    /**
     * Extract tool calls from complete response text
     */
    finalizeStreamProcessing(state: StreamProcessingState): ParsedModelResponse;
    /**
     * Build assistant message for conversation history
     * For PE engines, we preserve the raw content including tool call markup
     *
     * FIXME: move to base tool call engine.
     */
    buildHistoricalAssistantMessage(currentLoopAssistantEvent: AgentEventStream.AssistantMessageEvent): ChatCompletionAssistantMessageParam;
    /**
     * Build tool result messages as user messages
     * PE engines format tool results as user input for next iteration
     *
     * FIXME: move to base tool call engine.
     */
    buildHistoricalToolCallResultMessages(toolCallResults: MultimodalToolCallResult[]): ChatCompletionMessageParam[];
}
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