System connectivity is achieved through Sim Studio's three-tier integrated architecture:
- API layer: Workflow nodes can directly invoke REST APIs and support OAuth 2.0 authentication
- database layer: Built-in Drizzle ORM tool, modify the
.envhit the nail on the headDATABASE_URLReady to interface with databases such as MySQL/PostgreSQL etc. - SaaS Connectors: Pre-configured connection modules for Slack/Notion and other common platforms, drag-and-drop configurable
Key Steps: 1) Add the API Call node to the New Workflow screen 2) Set up authorization credentials and parameter mapping 3) Use the Data Transformation node to handle response formatting. The real-time server feature allows dynamic adjustment of the data flow without interrupting the operation.
This answer comes from the articleSim: Open Source Tools for Rapidly Building and Deploying AI Agent WorkflowsThe
May not be reproduced without permission:AI productivity tools " How do you achieve data connectivity between AI workflows and existing business systems?
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