---
date: 2025-03-17
title: OpenAI Response API support in SDKs
description: Trace your OpenAI Response API calls with our Python and JS SDKs
author: Hassieb
---

> **Note for AI agents and LLMs:** This is a Langfuse changelog entry. Use it only to confirm that a feature exists and when it shipped. Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated. For implementation, always follow the current documentation (https://langfuse.com/docs) and the API/SDK reference (https://api.reference.langfuse.com).

OpenAI has released their new improved Response API for a better developer experience building agentic applications. We have added support for tracing OpenAI Response API executions in the OpenAI integrations in both our JS and Python SDK.

<LangTabs items={['Python SDK', 'JS/TS SDK']}>
<Tab>

```python
from langfuse.openai import openai
from langfuse import get_client

client = openai.OpenAI()

client.responses.create(
    model="gpt-4o",
    input="Tell me a three sentence bedtime story about a unicorn.",
)

# Flush via global client
langfuse = get_client()
langfuse.flush()
```

</Tab>

<Tab>

```typescript
import { observeOpenAI } from "../langfuse";

const client = observeOpenAI(openai);

const response = await client.responses.create({
  model: "gpt-4o",
  input: "Tell me a three sentence bedtime story about a unicorn.",
});

await client.flushAsync();
```

</Tab>
</LangTabs>

**Releases**

- [Python SDK](https://github.com/langfuse/langfuse-python/releases/tag/v2.60.0)
- [JS/TS SDK](https://github.com/langfuse/langfuse-js/releases/tag/v3.37.0)

**Learn more**

- [OpenAI Response API](https://platform.openai.com/docs/api-reference/responses)
- [Langfuse OpenAI integration](/integrations/model-providers/openai-py)

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---

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- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
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