Thanks for posting your question in the Microsoft Q&A forum.
This problem is likely related to network constraints or resource limitations.
- Add a robust retry mechanism to your function to handle temporary network failures.
- Implement connection pooling in your Python code to reuse connections and reduce the overhead of creating new connections for each request.
- If your function is timing out before completing all requests, consider increasing the function timeout in your host.json file.
- Instead of making individual API calls for each item, use Microsoft Graph's batching capabilities to reduce the number of network requests.
- Implement asynchronous programming techniques in your Python code to improve performance and handle multiple requests concurrently.
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