Optimizing submitToolOutputs Performance with gpt-4-1106-preview

Below are some pointers you can try when working with the preview model and noticing slower performance, especially during the tool submission phase:

1. Batch Tool Output Submissions

When your assistant needs to submit multiple tool outputs, consider grouping them into a single submission where possible. The current process follows a loop that waits for each individual submit step. Combining outputs can reduce round-trip overhead.

2. Optimize Your Streaming Setup

Because the integration relies on asynchronous streaming via functions like submitToolOutputsStream, ensure that:

• Your network environment minimizes latency.
• Your serverless functions (or API endpoints) are configured to be warm so that cold starts do not add extra delays.

3. Verify SDK Configuration

Make sure your integration with the Vercel AI SDK is up to date. Performance improvements may be introduced in later SDK versions. This includes verifying that:

• All environment variables (such as ASSISTANT_ID) are correctly set.
• You’re using the recommended implementation patterns as outlined in the Assistant UI docs.

4. Review Function and Stream Handling

The assistant run function forwards streaming responses and then checks for a status of "requires_action". Carefully reviewing how your code handles the stream may reveal opportunities to minimize processing before forwarding. For example, reducing extra JSON parsing or error handling overhead can help speed up the interaction loop.

5. Keep in Mind Model Preview Limitations

Since you’re currently using gpt-4-1106-preview, it’s possible that performance characteristics differ from the final version shown at DevDay. Changes and optimizations are expected as the preview advances to a stable release.

By combining these suggestions, you should be able to better tune the performance of your assistant interactions, particularly for the submitToolOutputs workflow. If you continue to experience issues, consider reaching out through the community channels for additional insights or update notifications.