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505 lines
18 KiB
Markdown
505 lines
18 KiB
Markdown
# KIMI AI Free Service
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<hr>
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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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StepFun (StepChat) API to API [step-free-api](https://github.com/LLM-Red-Team/step-free-api)
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Ali Tongyi (Qwen) API to API [qwen-free-api](https://github.com/LLM-Red-Team/qwen-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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## Table of Contents
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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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* [Zeabur Deployment](#Zeabur-Deployment)
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* [Native Deployment](#Native-Deployment)
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* [Interface List](#Interface-List)
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* [Conversation completion](#conversation-completion)
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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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* [Precautions](#Precautions)
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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 [MoonshotAI](https://platform.moonshot.cn/) 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/Po0F6BMJ15q5vu2P
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## Effect Examples
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### Identity Verification
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### Multi-turn Dialogue
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### Internet Search
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### Long Document Reading
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### Image Analysis
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### Consistent Responsiveness
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## Access Preparation
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Get the `refresh_token` from [kimi.moonshot.cn](https://kimi.moonshot.cn)
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Start a conversation with kimi at will, then open the developer tool with F12, and find the value of `refresh_token` from Application > Local Storage, which will be used as the value of the Bearer Token in Authorization: `Authorization: Bearer TOKEN`
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If you see `refresh_token` as an array, please use `.` to join it before using.
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### Multi-Account Access
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Currently, kimi limits ordinary accounts to only 30 rounds of long-text Q&A within every 3 hours (short text is unlimited). You can provide multiple account refresh_tokens 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 kimi-free-api -p 8000:8000 -e TZ=Asia/Shanghai vinlic/kimi-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 kimi-free-api
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```
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Restart service
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```shell
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docker restart kimi-free-api
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```
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Shut down service
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```shell
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docker stop kimi-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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kimi-free-api:
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container_name: kimi-free-api
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image: vinlic/kimi-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/kimi-free-api
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cd kimi-free-api
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vercel --prod
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```
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### Zeabur Deployment
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[](https://zeabur.com/templates/GRFYBP)
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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 "kimi-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 kimi-free-api
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```
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Restart service
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```shell
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pm2 reload kimi-free-api
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```
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Shut down service
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```shell
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pm2 stop kimi-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 [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 name
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// kimi: default model
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// kimi-search: online search model
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// kimi-research: exploration version model
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// kimi-k1: K1 model
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// kimi-math: math model
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// kimi-silent: model without search process output
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// search/research/k1/math/silent: can be freely combined
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// If using kimi+agent, fill in the agent ID for model, which is the 20-character ID of letters and numbers at the end of the browser address bar
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"model": "kimi",
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"messages": [
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{
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"role": "user",
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"content": "test"
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}
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],
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// Whether to enable online search, default false
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"use_search": true,
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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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"id": "cnndivilnl96vah411dg",
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"model": "kimi",
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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": "Hello! I am Kimi, an artificial intelligence assistant developed by Dark Side of the Moon Technology Co., Ltd. I am good at conversation in Chinese and English. I can help you obtain information, answer questions, and read and understand the documents you provide. and web content. If you have any questions or need help, feel free to let me know!"
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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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### 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 name
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// kimi: default model
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// kimi-search: online search model
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// kimi-research: exploration version model
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// kimi-k1: K1 model
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// kimi-math: math model
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// kimi-silent: model without search process output
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// search/research/k1/math/silent: can be freely combined
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// If using kimi+agent, fill in the agent ID for model, which is the 20-character ID of letters and numbers at the end of the browser address bar
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"model": "kimi",
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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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// It is recommended to turn off online search to prevent interference in interpreting results.
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"use_search": 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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"id": "cnmuo7mcp7f9hjcmihn0",
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"model": "kimi",
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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": "The document contains several examples of ancient magical spells from magical texts from the ancient Greek and Roman periods known as PGM (Papyri Graecae Magicae). The following are examples of several spells mentioned in the document Contents:\n\n1. The first spell (PMG 4.1390 – 1495) describes a ritual that requires leaving some of your leftover bread, dividing it into seven small pieces, and then going to the heroes, gladiators, and those who died violent deaths The place where people were killed. Spell a spell on the piece of bread and throw it out, then pick up some contaminated soil from the ritual site and throw it into the home of the woman you like, then go to sleep. The content of the spell is to pray to the goddess of fate (Moirai), The Roman goddesses of Fates and the forces of nature (Daemons) were invoked to help make wishes come true.\n\n2. The second incantation (PMG 4.1342 – 57) was a summoning spell performed by speaking a series of mystical names and Words to summon a being called Daemon to cause a person named Tereous (born from Apia) to be mentally and emotionally tortured until she came to the spellcaster Didymos (born from Taipiam).\n \n3. The third spell (PGM 4.1265 – 74) mentions a mysterious name called NEPHERIĒRI, which is related to Aphrodite, the goddess of love. In order to win the heart of a beautiful woman, one needs to keep it for three days of purity, offer frankincense and recite the name while offering the offering. Then, as you approach the lady, recite the name silently seven times in your mind and do this for seven consecutive days with the hope of success.\n\n4. The fourth mantra ( PGM 4.1496 – 1) describes an incantation recited while burning myrrh. This incantation is a prayer to myrrh in the hope that it will attract a person named [name ] woman (her mother's name was [name]), making her unable to sit, eat, look at or kiss other people, but instead had only the caster in her mind until she came to the caster.\n\nThese Spells reflect ancient people's beliefs in magic and supernatural powers, and the ways in which they attempted to influence the emotions and behavior of others through these spells."
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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": 100920
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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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Request data:
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```json
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{
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// Model name
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// kimi: default model
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// kimi-search: online search model
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// kimi-research: exploration version model
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// kimi-k1: K1 model
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// kimi-math: math model
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// kimi-silent: model without search process output
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// search/research/k1/math/silent: can be freely combined
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// If using kimi+agent, fill in the agent ID for model, which is the 20-character ID of letters and numbers at the end of the browser address bar
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"model": "kimi",
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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": "image_url",
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"image_url": {
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"url": "https://www.moonshot.cn/assets/logo/normal-dark.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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// It is recommended to turn off online search to prevent interference in interpreting results.
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"use_search": 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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"id": "cnn6l8ilnl92l36tu8ag",
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"model": "kimi",
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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": "The image shows the words "Moonshot AI", which may be the logo or brand identity of Dark Side of the Moon Technology Co., Ltd. (Moonshot AI). Usually such images are used to represent a company or product and convey brand information .Since the image is in PNG format, it could be a logo with a transparent background, used on a website, app, or other visual material."
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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": 1710123627
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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": "eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9..."
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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 kimi-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 kimi-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/kimi-free-api&Date)
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