Solution: Seamless integration via API and SDK
Coze Studio offers a variety of integration solutions to meet the needs of different technology stacks:
- REST API Integration::
- Get API Token: visit https://www.coze.com/open/oauth/pats生成令牌
- Call /chat interface to realize the conversation function, support JSON format request response
- Receive event notifications (e.g. order status changes) using /webhook
- Multi-language SDK::
- Python:
from cozepy import Coze
coze = Coze(api_token="your_token")
response = coze.chat(bot_id="123", query="你好") - JavaScript: support for browser and Node.js environments
- Java: providing Spring Boot starter quick access
- Python:
- Localized Deployment Solutions: For data-sensitive scenarios, all services can be deployed in an intranet environment via Docker Compose
Integration Recommendation: Start with a test environment, use Mock data to verify interface stability, and then gradually migrate production traffic.
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 to quickly integrate AI Intelligent Body functionality in your on-premises systems?
