generateChatResponse method

Implementation

Future<ModelResponse> generateChatResponse() async {
  debugPrint('InferenceChat: Getting response from native model...');
  final response = await session.getResponse();
  final cleanedResponse = ModelThinkingFilter.cleanResponse(response, isThinking: isThinking, modelType: modelType, fileType: fileType);

  if (cleanedResponse.isEmpty) {
    debugPrint('InferenceChat: Raw response from native model is EMPTY after cleaning.');
    return const TextResponse(''); // Return TextResponse instead of String
  }

  debugPrint('InferenceChat: Raw response from native model:\n--- START ---\n$cleanedResponse\n--- END ---');

  // Try to parse as function call if tools are available and model supports function calls
  if (tools.isNotEmpty && supportsFunctionCalls) {
    final functionCall = FunctionCallParser.parse(cleanedResponse);
    if (functionCall != null) {
      debugPrint('InferenceChat: Detected function call in sync response');
      final toolCallMessage = Message.toolCall(text: cleanedResponse);
      _fullHistory.add(toolCallMessage);
      _modelHistory.add(toolCallMessage);
      debugPrint('InferenceChat: Added tool call to history: ${toolCallMessage.text}');
      return functionCall;
    }
  }

  // Regular text response
  final chatMessage = Message(text: cleanedResponse, isUser: false);
  _fullHistory.add(chatMessage);
  _modelHistory.add(chatMessage);

  return TextResponse(cleanedResponse); // Return TextResponse instead of String
}