
Relay 1min AI API to OpenAI Structure in 1 minute.
Don't forget to star this repository if you like it!
Clone the git repo into your machine.
To install dependencies, run:
bashpip install -r requirements.txt
and then run python3 main.py
Depending on your system, you may need to run python
Pre-Built images
bashdocker pull ghcr.io/kokofixcomputers/1min-relay:latest
bashdocker network create 1min-relay-network
bashdocker run -d --name memcached --network 1min-relay-network memcached
bashdocker run -d --name 1min-relay-container --network 1min-relay-network -p 5001:5001 \ -e SUBSET_OF_ONE_MIN_PERMITTED_MODELS="mistral-nemo,gpt-4o-mini,deepseek-chat" \ -e PERMIT_MODELS_FROM_SUBSET_ONLY=True \ ghcr.io/kokofixcomputers/1min_relay:latest
Environment Variables:
SUBSET_OF_ONE_MIN_PERMITTED_MODELS: Specifies a subset of 1min.ai models to expose. Default: mistral-nemo,gpt-4o,deepseek-chat.PERMIT_MODELS_FROM_SUBSET_ONLY: Restricts model usage to the specified subset. Set to True to enforce this restriction or False to allow all models supported by 1min.ai. Default: True.Self-Build
bashdocker build -t 1min-relay:latest .
bashdocker network create 1min-relay-network
bashdocker run -d --name memcached --network 1min-relay-network memcached
bashdocker run -d --name 1min-relay-container --network 1min-relay-network -p 5001:5001 \ -e SUBSET_OF_ONE_MIN_PERMITTED_MODELS="mistral-nemo,gpt-4o-mini,deepseek-chat" \ -e PERMIT_MODELS_FROM_SUBSET_ONLY=True \ 1min-relay:latest
-d runs the container in detached (background) mode.-p 5001:5001 maps your host’s port 5001 to the container’s port 5001.--name 1min-relay-container is optional, but it makes it easier to stop or remove the container later.-e: Specifies environment variables.SUBSET_OF_ONE_MIN_PERMITTED_MODELS: Specifies a subset of 1min.ai models to expose. Default: mistral-nemo,gpt-4o,deepseek-chat.PERMIT_MODELS_FROM_SUBSET_ONLY: Restricts model usage to the specified subset. Set to True to enforce this restriction or False to allow all models supported by 1min.ai. Default: True.bashdocker logs -f 1min-relay-container
You should see your Flask server output: “Server is ready to serve at …”
Test from your host machine:
bashcurl -X GET http://localhost:5001/v1/models
bashdocker stop 1min-relay-container
To remove the container:
bashdocker rm 1min-relay-container
To remove the image entirely:
bashdocker rmi 1min-relay:latest
Optional: Run with Docker Compose If you prefer Docker Compose, you can run the docker compose included with the repo:
Just run:
bashdocker compose up -d
Compose will automatically do these things for you:

探索更多轩辕镜像的使用方法,找到最适合您系统的配置方式
通过 Docker 登录认证访问私有仓库
无需登录使用专属域名
Kubernetes 集群配置 Containerd
K3s 轻量级 Kubernetes 镜像加速
VS Code Dev Containers 配置
Podman 容器引擎配置
HPC 科学计算容器配置
ghcr、Quay、nvcr 等镜像仓库
Harbor Proxy Repository 对接专属域名
Portainer Registries 加速拉取
Nexus3 Docker Proxy 内网缓存
需要其他帮助?请查看我们的 常见问题Docker 镜像访问常见问题解答 或 提交工单
manifest unknown
no matching manifest(架构)
invalid tar header(解压)
TLS 证书失败
DNS 超时
410 Gone 排查
402 与流量用尽
401 认证失败
429 限流
D-Bus 凭证提示
413 与超大单层
来自真实用户的反馈,见证轩辕镜像的优质服务