Alif Sathar

Clear Purpose: The agent's role in generating code from prompts is well-defined, aligning with the workflow's objectives. Modular Design: Encapsulating the agent's functionality within its own DSL file promotes maintainability...

The current implementation could be improved in several key areas. Firstly, it lacks explicit error-handling mechanisms, which are essential for managing unexpected inputs or failures during code generation. Implementing try-except...

Looks good! The updated desktop prompt in the README is clearer and more user-friendly.

The issue you're encountering stems from the `PUBLIC_ORIGIN` environment variable configuration in your Docker setup. The `PUBLIC_ORIGIN` is used by Teable to generate URLs for various functionalities, such as CSV...

You're absolutely right — requiring `PUBLIC_ORIGIN` to be both internally and externally accessible is unrealistic in many Docker + reverse proxy setups, especially with tools like Traefik in local/dev environments....

One other I could propose is to Introduce support for two environment variables: `PUBLIC_ORIGIN` → for generating links or URLs exposed to users (e.g. in emails, CSV import) `INTERNAL_ORIGIN` (optional)...

In theory, direct function calls would be faster and simpler. But many apps (maybe including Teable) use internal HTTP requests to keep things modular, reuse the same API logic, or...

To address this , you can consider developing a plugin that identifies and removes duplicate records. Here's a high-level approach: Identify Unique Constraints: Determine the fields that define a unique...

Looks good! The refactor makes the streaming logic much cleaner. Nice job separating concerns with StreamingServer. Just a small suggestion—it might help to add a short comment explaining the stop...