The Need for Responses API Support

Oct 13, 2025 by wbrum.org 4 views

Introduction

The OpenAI platform has recently introduced an alternative to the completions endpoint called responses. This new endpoint is now being used by default in the OpenAI playground and in their libraries, such as the OpenAI Agents SDK. However, this change may cause issues for users who are not aware of the differences between the two endpoints. In this article, we will discuss the need for adding responses API support, including logs, metrics, and tracing, to ensure a seamless user experience.

The Problem

The OpenAI platform's decision to use the responses endpoint by default may lead to issues for users who are not prepared for the change. The responses endpoint is a new and alternative way of generating content, and it does not have the same level of support as the completions endpoint. This means that users may not have access to the same level of logs, metrics, and tracing, which can make it difficult to debug and troubleshoot issues.

The Need for Responses API Support

To address the issues caused by the use of the responses endpoint, it is essential to add support for this endpoint. This includes implementing logs, metrics, and tracing, which are essential for debugging and troubleshooting issues. By adding responses API support, users will be able to access the same level of support as they do with the completions endpoint, ensuring a seamless user experience.

Benefits of Responses API Support

Adding responses API support will have several benefits for users. Firstly, it will provide users with access to the same level of logs, metrics, and tracing as they do with the completions endpoint. This will make it easier for users to debug and troubleshoot issues, reducing the time and effort required to resolve problems. Secondly, it will ensure that users are not left behind as the OpenAI platform continues to evolve and improve. By providing support for the responses endpoint, users will be able to take advantage of the latest features and improvements, without having to worry about compatibility issues.

Implementation of Responses API Support

To implement responses API support, the following steps can be taken:

Add logs: Implement logging for the responses endpoint, including error logs, debug logs, and information logs.
Add metrics: Implement metrics for the responses endpoint, including request metrics, response metrics, and error metrics.
Add tracing: Implement tracing for the responses endpoint, including request tracing and response tracing.
Test and validate: Test and validate the responses API support to ensure that it is working as expected.

Alternatives to Responses API Support

While adding responses API support is the recommended solution, there are alternative approaches that can be taken. One alternative is to tell users not to use the responses endpoint, and instead use the completions endpoint. However, this approach may not be practical or feasible, especially for users who are already using the responses endpoint.

Additional Context

The OpenAI platform has already introduced the responses API, and it is now being used by default in the OpenAI playground and in their libraries. The responses API is a new and alternative way of generating content, and it does not have the same level of support as the completions endpoint. To address the issues caused by the use of the responses endpoint, it is essential to add support for this endpoint.

Conclusion

In conclusion, adding responses API support is essential to ensure a seamless user experience. By implementing logs, metrics, and tracing for the responses endpoint, users will be able to access the same level of support as they do with the completions endpoint. This will make it easier for users to debug and troubleshoot issues, reducing the time and effort required to resolve problems. We recommend that the OpenAI platform implement responses API support as soon as possible, to ensure that users are not left behind as the platform continues to evolve and improve.

References

https://platform.openai.com/docs/api-reference/responses
https://community.openai.com/t/introducing-the-responses-api/1140929
https://github.com/Arize-ai/openinference/issues/1351
OpenAI: Add Responses API Support - Q&A =====================================

Introduction

In our previous article, we discussed the need for adding responses API support to the OpenAI platform. In this article, we will answer some of the most frequently asked questions about responses API support.

Q: What is the responses API?

A: The responses API is a new and alternative way of generating content on the OpenAI platform. It is designed to provide a more efficient and flexible way of generating text, and it is now being used by default in the OpenAI playground and in their libraries.

Q: Why do I need responses API support?

A: You need responses API support because the responses endpoint does not have the same level of support as the completions endpoint. Without responses API support, you may not have access to the same level of logs, metrics, and tracing, which can make it difficult to debug and troubleshoot issues.

Q: What are the benefits of responses API support?

A: The benefits of responses API support include:

Access to logs, metrics, and tracing for the responses endpoint
Improved debugging and troubleshooting capabilities
Reduced time and effort required to resolve problems
Ability to take advantage of the latest features and improvements on the OpenAI platform

Q: How do I implement responses API support?

A: To implement responses API support, you can follow these steps:

Add logs: Implement logging for the responses endpoint, including error logs, debug logs, and information logs.
Add metrics: Implement metrics for the responses endpoint, including request metrics, response metrics, and error metrics.
Add tracing: Implement tracing for the responses endpoint, including request tracing and response tracing.
Test and validate: Test and validate the responses API support to ensure that it is working as expected.

Q: What are some common issues with responses API support?

A: Some common issues with responses API support include:

Difficulty debugging and troubleshooting issues due to lack of logs, metrics, and tracing
Inability to take advantage of the latest features and improvements on the OpenAI platform
Increased time and effort required to resolve problems

Q: How can I troubleshoot issues with responses API support?

A: To troubleshoot issues with responses API support, you can follow these steps:

Check the logs: Check the logs for the responses endpoint to see if there are any error messages or other issues.
Check the metrics: Check the metrics for the responses endpoint to see if there are any issues with request or response metrics.
Check the tracing: Check the tracing for the responses endpoint to see if there are any issues with request or response tracing.
Contact support: Contact OpenAI support for further assistance.

Q: What is the future of responses API support?

A: The future of responses API support is bright. OpenAI is committed to providing the best possible experience for its users, and responses API support is an essential part of that. As the OpenAI platform continues to evolve and improve, responses API support will play an increasingly important role in ensuring that users have access to the features and improvements they need.

Conclusion

In conclusion, responses API support is an essential part of the OpenAI platform, and it is crucial for users to have access to the features and improvements they need. By implementing responses API support, users can take advantage of the latest features and improvements on the OpenAI platform, and they can ensure that they have access to the logs, metrics, and tracing they need to debug and troubleshoot issues. We hope that this Q&A article has been helpful in answering some of the most frequently asked questions about responses API support.