Deploying Coze Studio involves completing the following four key steps:
- environmental preparation: Ensure that the device has a 2-core CPU/4GB RAM base configuration, pre-installed Docker, Golang 1.18+, Node.js LTS version and pnpm package manager
- Code Fetch: By
git clone https://github.com/coze-dev/coze-studio.gitClone the repository and go to the project directory - Model Configuration: Copy the template file to configure API keys and Endpoint IDs for modeling services such as the Volcano Engine (which need to be requested in advance on the appropriate platforms)
- service activation: Implementation
pnpm buildcap (a poem)go buildFinish compiling and start the container group via Docker Compose
Attention is required after successful deployment:
- The first startup needs to pull the base image, it is normal that it takes a long time.
- Must be configured correctly
.envin the fileCOZE_API_TOKENand base API address - pass (a bill or inspection etc)
docker logscommand to view container logs in real time for troubleshooting.
This answer comes from the articleCoze Studio (Coze Open Source Edition): an open source low-code platform for rapidly building AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How do I quickly deploy the Coze Studio development environment? What pre-requisites need to be met?
