💰 Sponsors: Thanks to @PowerHunter for the CNY 200 sponsorship, sponsorship information has been added to the README.

README.md

@@ -23,10 +23,10 @@ For personal use, one/new-api is too complex with many commercial features that
 - Support OpenAI, Anthropic, Gemini, Vertex native tool use function calls.
 - Support OpenAI, Anthropic, Gemini, Vertex native image recognition API.
 - Support four types of load balancing.
-  1. Supports channel-level weighted load balancing, allowing requests to be distributed according to different channel weights. It is not enabled by default and requires configuring channel weights.
-  2. Support Vertex regional load balancing and high concurrency, which can increase Gemini and Claude concurrency by up to (number of APIs * number of regions) times. Automatically enabled without additional configuration.
-  3. Except for Vertex region-level load balancing, all APIs support channel-level sequential load balancing, enhancing the immersive translation experience. It is not enabled by default and requires configuring `SCHEDULING_ALGORITHM` as `round_robin`.
-  4. Support automatic API key-level round-robin load balancing for multiple API Keys in a single channel.
+1. Supports channel-level weighted load balancing, allowing requests to be distributed according to different channel weights. It is not enabled by default and requires configuring channel weights.
+2. Support Vertex regional load balancing and high concurrency, which can increase Gemini and Claude concurrency by up to (number of APIs * number of regions) times. Automatically enabled without additional configuration.
+3. Except for Vertex region-level load balancing, all APIs support channel-level sequential load balancing, enhancing the immersive translation experience. It is not enabled by default and requires configuring `SCHEDULING_ALGORITHM` as `round_robin`.
+4. Support automatic API key-level round-robin load balancing for multiple API Keys in a single channel.
 - Support automatic retry, when an API channel response fails, automatically retry the next API channel.
 - Support fine-grained permission control. Support using wildcards to set specific models available for API key channels.
 - Support rate limiting, you can set the maximum number of requests per minute as an integer, such as 2/min, 2 times per minute, 5/hour, 5 times per hour, 10/day, 10 times per day, 10/month, 10 times per month, 10/year, 10 times per year. Default is 60/min.
@@ -301,6 +301,26 @@ curl -X POST http://127.0.0.1:8000/v1/chat/completions \
 -d '{"model": "gpt-4o","messages": [{"role": "user", "content": "Hello"}],"stream": true}'
 ```
 
+## Sponsors
+
+We thank the following sponsors for their support:
+<!-- ¥200 -->
+- @PowerHunter: ¥200
+
+## How to sponsor us
+
+If you would like to support our project, you can sponsor us in the following ways:
+
+1. [PayPal](https://www.paypal.me/yym68686)
+
+2. [USDT-TRC20](https://pb.yym68686.top/~USDT-TRC20), USDT-TRC20 wallet address: `TLFbqSv5pDu5he43mVmK1dNx7yBMFeN7d8`
+
+3. [WeChat](https://pb.yym68686.top/~wechat)
+
+4. [Alipay](https://pb.yym68686.top/~alipay)
+
+Thank you for your support!
+
 ## ⭐ Star History
 
 <a href="https://github.com/yym68686/uni-api/stargazers">

README_CN.md

@@ -301,7 +301,27 @@ curl -X POST http://127.0.0.1:8000/v1/chat/completions \
 -d '{"model": "gpt-4o","messages": [{"role": "user", "content": "Hello"}],"stream": true}'
 ```
 
-## ⭐ Star History
+## 赞助商
+
+我们感谢以下赞助商的支持：
+<!-- ¥200 -->
+- @PowerHunter：¥200
+
+## 如何赞助我们
+
+如果您想支持我们的项目，您可以通过以下方式赞助我们：
+
+1. [PayPal](https://www.paypal.me/yym68686)
+
+2. [USDT-TRC20](https://pb.yym68686.top/~USDT-TRC20)，USDT-TRC20 钱包地址：`TLFbqSv5pDu5he43mVmK1dNx7yBMFeN7d8`
+
+3. [微信](https://pb.yym68686.top/~wechat)
+
+4. [支付宝](https://pb.yym68686.top/~alipay)
+
+感谢您的支持！
+
+## ⭐ Star 历史
 
 <a href="https://github.com/yym68686/uni-api/stargazers">
         <img width="500" alt="Star History Chart" src="https://api.star-history.com/svg?repos=yym68686/uni-api&type=Date">

main.py

@@ -317,7 +317,7 @@ class LoggingStreamingResponse(Response):
                     chunk = chunk.encode('utf-8')
                 line = chunk.decode('utf-8')
                 if is_debug:
-                    logger.info(f"{line}")
+                    logger.info(f"{line.encode('utf-8').decode('unicode_escape')}")
                 if line.startswith("data:"):
                     line = line.lstrip("data: ")
                 if not line.startswith("[DONE]") and not line.startswith("OK"):
@@ -590,7 +590,7 @@ async def process_request(request: Union[RequestModel, ImageGenerationRequest, A
             wrapped_generator, first_response_time = await error_handling_wrapper(generator)
             first_element = await anext(wrapped_generator)
             first_element = first_element.lstrip("data: ")
-            print("first_element", first_element)
+            # print("first_element", first_element)
             first_element = json.loads(first_element)
             response = StarletteStreamingResponse(iter([json.dumps(first_element)]), media_type="application/json")
             # response = JSONResponse(first_element)