@app.route('/hf/v1/chat/completions', methods=['POST'])
def chat_completions():
    global current_api_key
    is_authenticated, auth_error, status_code = authenticate_request(request)
    if not is_authenticated:
        return auth_error if auth_error else jsonify({'error': 'Unauthorized'}), status_code if status_code else 401
    try:
        
        request_data = request.get_json()
        
        messages = request_data.get('messages', [])
        model = request_data.get('model', 'gemini-exp-1206')  
        temperature = request_data.get('temperature', 1)
        max_tokens = request_data.get('max_tokens', 8192)
        stream = request_data.get('stream', False)  

        logger.info(colored(f"\n{model} [r] -> {current_api_key[:11]}...", 'yellow'))
        # 将 OpenAI 格式的消息转换为 Gemini 格式
        gemini_history = []
        for message in messages:
            role = message.get('role')
            content = message.get('content')
            if role == 'system':
                gemini_history.append({"role": "user", "parts": [content]})
            elif role == 'user':
                gemini_history.append({"role": "user", "parts": [content]})
            elif role == 'assistant':
                gemini_history.append({"role": "model", "parts": [content]})

        user_message = gemini_history[-1]['parts'][0] if gemini_history else messages[-1]['content']
        gemini_history = gemini_history[:-1] if gemini_history else []
        genai.configure(api_key=current_api_key)
        # 调用 Gemini API
        generation_config = {
            "temperature": temperature,
            "max_output_tokens": max_tokens
        }

        gen_model = genai.GenerativeModel(
            model_name=model,
            generation_config=generation_config,
            safety_settings=safety_settings
        )

        
        if stream:
            # 流式响应
            if gemini_history:
                chat_session = gen_model.start_chat(history=gemini_history)
                response = chat_session.send_message(user_message, stream=True)
            else:
                response = gen_model.generate_content(user_message, stream=True)

            def generate():
                try:
                    for chunk in response:
                        if chunk.text:
                            data = {
                                'choices': [
                                    {
                                        'delta': {
                                            'content': chunk.text
                                        },
                                        'finish_reason': None,
                                        'index': 0
                                    }
                                ],
                                'object': 'chat.completion.chunk'
                            }
                            
                            yield f"data: {json.dumps(data)}\n\n"
                    data = {
                        'choices': [
                            {
                                'delta': {},
                                'finish_reason': 'stop',
                                'index': 0
                            }
                        ],
                        'object': 'chat.completion.chunk'
                    }
                    
                    yield f"data: {json.dumps(data)}\n\n"
                except Exception as e:
                    logger.error(f"Error during streaming: {str(e)}")
                    
                    data = {
                        'error': {
                            'message': str(e),
                            'type': 'internal_server_error'
                        }
                    }
                    yield f"data: {json.dumps(data)}\n\n"

            return Response(stream_with_context(generate()), mimetype='text/event-stream')
        else:
            
            # 调用 API
            if gemini_history:
                chat_session = gen_model.start_chat(history=gemini_history)
                response = chat_session.send_message(user_message)
            else:
                response = gen_model.generate_content(user_message)
                
            try:
                text_content = response.candidates[0].content.parts[0].text
                
            except (AttributeError, IndexError, TypeError) as e:
                logger.error(colored(f"Error getting text content: {str(e)}",'red'))
                
                text_content = "Error: Unable to get text content." 
                
            response_data = {
                'id': 'chatcmpl-xxxxxxxxxxxx',
                'object': 'chat.completion',
                'created': int(datetime.now().timestamp()),
                'model': model,
                'choices': [{
                    'index': 0,
                    'message': {
                        'role': 'assistant',
                        'content': text_content
                    },
                    'finish_reason': 'stop'
                }],
                'usage':{ 
                    'prompt_tokens': 0,
                    'completion_tokens': 0,
                    'total_tokens': 0
                }
            }
            logger.info(colored(f"Generation Success", 'green'))
            return jsonify(response_data)
            
    except Exception as e:
        logger.error(f"Error in chat completions: {str(e)}")
        
        return jsonify({
            'error': {
                'message': str(e),
                'type': 'invalid_request_error'
            }
        }), 500
    finally:
        current_api_key = key_manager.get_available_key()
        logger.info(colored(f"API KEY Switched -> {current_api_key[:11]}...", 'aqua'))