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@app.route('/hf/v1/chat/completions', methods=['POST'])
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def chat_completions():
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global current_api_key
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is_authenticated, auth_error, status_code = authenticate_request(request)
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if not is_authenticated:
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return auth_error if auth_error else jsonify({'error': 'Unauthorized'}), status_code if status_code else 401
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try:
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|
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request_data = request.get_json()
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|
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messages = request_data.get('messages', [])
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model = request_data.get('model', 'gemini-exp-1206')
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temperature = request_data.get('temperature', 1)
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max_tokens = request_data.get('max_tokens', 8192)
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stream = request_data.get('stream', False)
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|
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logger.info(colored(f"\n{model} [r] -> {current_api_key[:11]}...", 'yellow'))
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# 将 OpenAI 格式的消息转换为 Gemini 格式
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gemini_history = []
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for message in messages:
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role = message.get('role')
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content = message.get('content')
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if role == 'system':
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gemini_history.append({"role": "user", "parts": [content]})
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elif role == 'user':
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gemini_history.append({"role": "user", "parts": [content]})
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elif role == 'assistant':
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gemini_history.append({"role": "model", "parts": [content]})
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|
|
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user_message = gemini_history[-1]['parts'][0] if gemini_history else messages[-1]['content']
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gemini_history = gemini_history[:-1] if gemini_history else []
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genai.configure(api_key=current_api_key)
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# 调用 Gemini API
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generation_config = {
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"temperature": temperature,
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"max_output_tokens": max_tokens
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|
}
|
|
|
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gen_model = genai.GenerativeModel(
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model_name=model,
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generation_config=generation_config,
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safety_settings=safety_settings
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)
|
|
|
|
|
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if stream:
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|
# 流式响应
|
|
if gemini_history:
|
|
chat_session = gen_model.start_chat(history=gemini_history)
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|
response = chat_session.send_message(user_message, stream=True)
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else:
|
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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
|
|
},
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'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')) |