---
title: "OpenAI Compatibility Endpoints"
source: "https://lmstudio.ai/docs/developer/openai-compat"
author:
published:
created: 2026-04-30
description: "Send requests to Responses, Chat Completions (text and images), Completions, and Embeddings endpoints."
tags:
  - "clippings"
---
Send requests to Responses, Chat Completions (text and images), Completions, and Embeddings endpoints.

### Supported endpoints

| Endpoint | Method | Docs |
| --- | --- | --- |
| `/v1/models` | GET | [Models](https://lmstudio.ai/docs/developer/openai-compat/models) |
| `/v1/responses` | POST | [Responses](https://lmstudio.ai/docs/developer/openai-compat/responses) |
| `/v1/chat/completions` | POST | [Chat Completions](https://lmstudio.ai/docs/developer/openai-compat/chat-completions) |
| `/v1/embeddings` | POST | [Embeddings](https://lmstudio.ai/docs/developer/openai-compat/embeddings) |
| `/v1/completions` | POST | [Completions](https://lmstudio.ai/docs/developer/openai-compat/completions) |

---

## Set the base url to point to LM Studio

You can reuse existing OpenAI clients (in Python, JS, C#, etc) by switching up the "base URL" property to point to your LM Studio instead of OpenAI's servers.

Note: The following examples assume the server port is `1234`

### Python Example

```
from openai import OpenAI

client = OpenAI(
+    base_url="http://localhost:1234/v1"
)

# ... the rest of your code ...
```

### Typescript Example

```
import OpenAI from 'openai';

const client = new OpenAI({
+  baseUrl: "http://localhost:1234/v1"
});

// ... the rest of your code ...
```

### cURL Example

```
- curl https://api.openai.com/v1/chat/completions \
+ curl http://localhost:1234/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
-     "model": "gpt-4o-mini",
+     "model": "use the model identifier from LM Studio here",
     "messages": [{"role": "user", "content": "Say this is a test!"}],
     "temperature": 0.7
   }'
```

## Using Codex with LM Studio

Codex is supported because LM Studio implements the OpenAI-compatible `POST /v1/responses` endpoint.

See: [Use Codex with LM Studio](https://lmstudio.ai/docs/integrations/codex) and [Responses](https://lmstudio.ai/docs/developer/openai-compat/responses).

---

Other OpenAI client libraries should have similar options to set the base URL.

If you're running into trouble, hop onto our [Discord](https://discord.gg/lmstudio) and enter the `#🔨-developers` channel.[REST API v0](https://lmstudio.ai/docs/developer/rest/endpoints)

[

The REST API includes enhanced stats such as Token / Second and Time To First Token (TTFT), as well as rich information about models such as loaded vs unloaded, max context, quantization, and more.

](https://lmstudio.ai/docs/developer/rest/endpoints)[

Chat Completions

Send a chat history and get the assistant's response.

](https://lmstudio.ai/docs/developer/openai-compat/chat-completions)