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511 lines
15 KiB
Markdown
511 lines
15 KiB
Markdown
# Qwen AI Free Service
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[](LICENSE)
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Supports high-speed streaming output, multi-turn dialogues, internet search, long document reading, image analysis, zero-configuration deployment, multi-token support, and automatic session trace cleanup.
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Fully compatible with the ChatGPT interface.
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Also, the following free APIs are available for your attention:
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Moonshot AI (Kimi.ai) API to API [kimi-free-api](https://github.com/LLM-Red-Team/kimi-free-api/tree/master)
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StepFun (StepChat) API to API [step-free-api](https://github.com/LLM-Red-Team/step-free-api)
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ZhipuAI (ChatGLM) API to API [glm-free-api](https://github.com/LLM-Red-Team/glm-free-api)
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Meta Sota (metaso) API to API [metaso-free-api](https://github.com/LLM-Red-Team/metaso-free-api)
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Iflytek Spark (Spark) API to API [spark-free-api](https://github.com/LLM-Red-Team/spark-free-api)
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Lingxin Intelligence (Emohaa) API to API [emohaa-free-api](https://github.com/LLM-Red-Team/emohaa-free-api) (OUT OF ORDER)
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## 目录
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* [Announcement](#Announcement)
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* [Online experience](#Online-Experience)
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* [Effect Examples](#Effect-Examples)
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* [Access preparation](#Access-Preparation)
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* [Multiple account access](#Multi-Account-Access)
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* [Docker Deployment](#Docker-Deployment)
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* [Docker-compose Deployment](#Docker-compose-Deployment)
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* [Render Deployment](#Render-Deployment)
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* [Vercel Deployment](#Vercel-Deployment)
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* [Native Deployment](#Native-Deployment)
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* [Recommended Clients](#Recommended-Clients)
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* [Interface List](#Interface-List)
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* [Conversation completion](#conversation-completion)
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* [AI Drawing](#AI-Drawing)
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* [Document Interpretation](#document-interpretation)
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* [Image analysis](#image-analysis)
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* [refresh_token survival detection](#refresh_token-survival-detection)
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* [Notification](#Notification)
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* [Nginx anti-generation optimization](#Nginx-anti-generation-optimization)
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* [Token statistics](#Token-statistics)
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* [Star History](#star-history)
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## Announcement
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**This API is unstable. So we highly recommend you go to the [Ali](https://dashscope.console.aliyun.com/) use the offical API, avoiding banned.**
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**This organization and individuals do not accept any financial donations and transactions. This project is purely for research, communication, and learning purposes!**
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**For personal use only, it is forbidden to provide services or commercial use externally to avoid causing service pressure on the official, otherwise, bear the risk yourself!**
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**For personal use only, it is forbidden to provide services or commercial use externally to avoid causing service pressure on the official, otherwise, bear the risk yourself!**
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**For personal use only, it is forbidden to provide services or commercial use externally to avoid causing service pressure on the official, otherwise, bear the risk yourself!**
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## Online experience
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This link is only for temporary testing of functions and cannot be used for a long time. For long-term use, please deploy by yourself.
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https://udify.app/chat/qOXzVl5kkvhQXM8r
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## Effect Examples
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### Identity Verification
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### Multi-turn Dialogue
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### AI Drawing
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### Long Document Reading
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### Image Analysis
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### 10-Thread Concurrency Test
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## Access Preparation
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### Method1
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Log in to [Tongyi Qianwen](https://tongyi.aliyun.com/qianwen)
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Enter Tongyi Qianwen and start a random conversation, then press F12 to open the developer tools. Find the value of `tongyi_sso_ticket` in Application > Cookies, which will be used as the Bearer Token value for Authorization: `Authorization: Bearer TOKEN`
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### Method2
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Log in to [Alibaba Cloud](https://www.aliyun.com/) (not recommended if the account has important assets such as servers). If the account has not previously entered [Tongyi Qianwen](https://tongyi.aliyun.com/qianwen), you need to first agree to the terms, otherwise it will not take effect.
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Then press F12 to open the developer tools. Find the value of `login_aliyunid_ticket` in Application > Cookies, which will be used as the Bearer Token value for Authorization: `Authorization: Bearer TOKEN`
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### Multi-Account Access
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You can provide multiple account `tongyi_sso_ticket` or `login_aliyunid_ticket` and use `,` to join them:
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`Authorization: Bearer TOKEN1,TOKEN2,TOKEN3`
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The service will pick one each time a request is made.
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## Docker Deployment
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Please prepare a server with a public IP and open port 8000.
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Pull the image and start the service
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```shell
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docker run -it -d --init --name qwen-free-api -p 8000:8000 -e TZ=Asia/Shanghai vinlic/qwen-free-api:latest
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```
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check real-time service logs
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```shell
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docker logs -f step-free-api
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```
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Restart service
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```shell
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docker restart step-free-api
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```
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Shut down service
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```shell
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docker stop step-free-api
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```
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### Docker-compose Deployment
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```yaml
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version: '3'
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services:
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qwen-free-api:
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container_name: qwen-free-api
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image: vinlic/qwen-free-api:latest
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restart: always
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ports:
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- "8000:8000"
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environment:
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- TZ=Asia/Shanghai
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```
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### Render Deployment
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**Attention: Some deployment regions may not be able to connect to Kimi. If container logs show request timeouts or connection failures (Singapore has been tested and found unavailable), please switch to another deployment region!**
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**Attention: Container instances for free accounts will automatically stop after a period of inactivity, which may result in a 50-second or longer delay during the next request. It is recommended to check [Render Container Keepalive](https://github.com/LLM-Red-Team/free-api-hub/#Render%E5%AE%B9%E5%99%A8%E4%BF%9D%E6%B4%BB)**
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1. Fork this project to your GitHub account.
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2. Visit [Render](https://dashboard.render.com/) and log in with your GitHub account.
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3. Build your Web Service (`New+` -> `Build and deploy from a Git repository` -> `Connect your forked project` -> `Select deployment region` -> `Choose instance type as Free` -> `Create Web Service`).
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4. After the build is complete, copy the assigned domain and append the URL to access it.
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### Vercel Deployment
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**Note: Vercel free accounts have a request response timeout of 10 seconds, but interface responses are usually longer, which may result in a 504 timeout error from Vercel!**
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Please ensure that Node.js environment is installed first.
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```shell
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npm i -g vercel --registry http://registry.npmmirror.com
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vercel login
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git clone https://github.com/LLM-Red-Team/qwen-free-api
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cd qwen-free-api
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vercel --prod
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```
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## Native Deployment
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Please prepare a server with a public IP and open port 8000.
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Please install the Node.js environment and configure the environment variables first, and confirm that the node command is available.
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Install dependencies
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```shell
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npm i
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```
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Install PM2 for process guarding
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```shell
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npm i -g pm2
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```
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Compile and build. When you see the dist directory, the build is complete.
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```shell
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npm run build
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```
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Start service
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```shell
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pm2 start dist/index.js --name "qwen-free-api"
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```
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View real-time service logs
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```shell
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pm2 logs qwen-free-api
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```
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Restart service
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```shell
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pm2 reload qwen-free-api
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```
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Shut down service
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```shell
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pm2 stop qwen-free-api
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```
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## Recommended Clients
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Using the following second-developed clients for free-api series projects is faster and easier, and supports document/image uploads!
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[Clivia](https://github.com/Yanyutin753/lobe-chat)'s modified LobeChat [https://github.com/Yanyutin753/lobe-chat](https://github.com/Yanyutin753/lobe-chat)
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[Time@](https://github.com/SuYxh)'s modified ChatGPT Web [https://github.com/SuYxh/chatgpt-web-sea](https://github.com/SuYxh/chatgpt-web-sea)
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## interface list
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Currently, the `/v1/chat/completions` interface compatible with openai is supported. You can use the client access interface compatible with openai or other clients, or use online services such as [dify](https://dify.ai/) Access and use.
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### Conversation completion
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Conversation completion interface, compatible with openai's [chat-completions-api](https://platform.openai.com/docs/guides/text-generation/chat-completions-api).
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**POST /v1/chat/completions**
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The header needs to set the Authorization header:
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```
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Authorization: Bearer [tongyi_sso_ticket/login_aliyunid_ticket]
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```
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Request data:
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```json
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{
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// Fill in the model name as you like.
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"model": "qwen",
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// Currently, multi-round conversations are realized based on message merging, which in some scenarios may lead to capacity degradation and is limited by the maximum number of tokens in a single round.
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// If you want a native multi-round dialog experience, you can pass in the ids obtained from the last round of messages to pick up the context
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// "conversation_id": "bc9ef150d0e44794ab624df958292300-40811965812e4782bb87f1a9e4e2b2cd",
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"messages": [
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{
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"role": "user",
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"content": "who RU？"
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}
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],
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// If using SSE stream, please set it to true, the default is false
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"stream": false
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}
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```
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Response data:
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```json
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{
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// For a native multi-round conversation experience, this id, you can pass in the conversation_id for the next round of conversation to pick up the context
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"id": "bc9ef150d0e44794ab624df958292300-40811965812e4782bb87f1a9e4e2b2cd",
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"model": "qwen",
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"object": "chat.completion",
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": "I'm Qwen."
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},
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"finish_reason": "stop"
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}
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],
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"usage": {
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"prompt_tokens": 1,
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"completion_tokens": 1,
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"total_tokens": 2
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},
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"created": 1710152062
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}
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```
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### AI Drawing
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Conversation completion interface, compatible with openai's [chat-completions-api](https://platform.openai.com/docs/guides/text-generation/chat-completions-api).
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**POST /v1/chat/completions**
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The header needs to set the Authorization header:
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```
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Authorization: Bearer [tongyi_sso_ticket/login_aliyunid_ticket]
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```
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Request data：
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```json
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{
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// 可以乱填
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"model": "wanxiang",
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"prompt": "A cut cat"
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}
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```
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Response data：
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```json
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{
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"created": 1711507734,
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"data": [
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{
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"url": "https://wanx.alicdn.com/wanx/1111111111/text_to_image/7248e85cfda6491aae59c54e7e679b17_0.png"
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}
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]
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}
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```
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### Document interpretation
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Provide an accessible file URL or BASE64_URL to parse.
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**POST /v1/chat/completions**
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The header needs to set the Authorization header:
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```
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Authorization: Bearer [refresh_token]
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```
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Request data:
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```json
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{
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"model": "qwen",
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "file",
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"file_url": {
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"url": "https://mj101-1317487292.cos.ap-shanghai.myqcloud.com/ai/test.pdf"
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}
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},
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{
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"type": "text",
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"text": "What does the document say？"
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}
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]
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}
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]
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}
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```
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Response data:
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```json
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{
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"id": "b56ea6c9e86140429fa2de6a6ec028ff",
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"model": "qwen",
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"object": "chat.completion",
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": "This is a doc about the magic of love. balabala..."
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},
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"finish_reason": "stop"
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}
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],
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"usage": {
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"prompt_tokens": 1,
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"completion_tokens": 1,
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"total_tokens": 2
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},
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"created": 1712253736
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}
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```
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### Image analysis
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Provide an accessible image URL or BASE64_URL to parse.
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This format is compatible with the [gpt-4-vision-preview](https://platform.openai.com/docs/guides/vision) API format. You can also use this format to transmit documents for parsing.
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**POST /v1/chat/completions**
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The header needs to set the Authorization header:
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```
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Authorization: Bearer [refresh_token]
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```
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请求数据：
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```json
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{
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"model": "qwen",
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "file",
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"file_url": {
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"url": "https://img.alicdn.com/imgextra/i1/O1CN01CC9kic1ig1r4sAY5d_!!6000000004441-2-tps-880-210.png"
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}
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},
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{
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"type": "text",
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"text": "What does the image describe?"
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}
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]
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}
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]
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}
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```
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Response data:
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```json
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{
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"id": "895fbe7fa22442d499ba67bb5213e842",
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"model": "qwen",
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"object": "chat.completion",
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": "It's the logo of Qwen."
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},
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"finish_reason": "stop"
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}
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],
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"usage": {
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"prompt_tokens": 1,
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"completion_tokens": 1,
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"total_tokens": 2
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},
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"created": 1712254066
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}
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```
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### refresh_token survival detection
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Check whether refresh_token is alive. If live is not true, otherwise it is false. Please do not call this interface frequently (less than 10 minutes).
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**POST /token/check**
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Request data:
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```json
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{
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"token": "QIhaHrrXUaIrWMUmL..."
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}
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```
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Response data:
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```json
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{
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"live": true
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}
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```
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## Notification
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### Nginx anti-generation optimization
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If you are using Nginx reverse proxy `qwen-free-api`, please add the following configuration items to optimize the output effect of the stream and optimize the experience.
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```nginx
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# Turn off proxy buffering. When set to off, Nginx will immediately send client requests to the backend server and immediately send responses received from the backend server back to the client.
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proxy_buffering off;
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# Enable chunked transfer encoding. Chunked transfer encoding allows servers to send data in chunks for dynamically generated content without knowing the size of the content in advance.
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chunked_transfer_encoding on;
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# Turn on TCP_NOPUSH, which tells Nginx to send as much data as possible before sending the packet to the client. This is usually used in conjunction with sendfile to improve network efficiency.
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tcp_nopush on;
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# Turn on TCP_NODELAY, which tells Nginx not to delay sending data and to send small data packets immediately. In some cases, this can reduce network latency.
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tcp_nodelay on;
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#Set the timeout to keep the connection, here it is set to 120 seconds. If there is no further communication between client and server during this time, the connection will be closed.
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keepalive_timeout 120;
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```
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### Token statistics
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Since the inference side is not in qwen-free-api, the token cannot be counted and will be returned as a fixed number!!!!!
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## Star History
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[](https://star-history.com/#LLM-Red-Team/qwen-free-api&Date)
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