> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mem0.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenAI

> Configure OpenAI as an LLM provider in Mem0 with support for GPT models and Openrouter compatibility.

To use OpenAI LLM models, you have to set the `OPENAI_API_KEY` environment variable. You can obtain the OpenAI API key from the [OpenAI Platform](https://platform.openai.com/account/api-keys).

> **Note**: The following are currently unsupported with reasoning models `Parallel tool calling`,`temperature`, `top_p`, `presence_penalty`, `frequency_penalty`, `logprobs`, `top_logprobs`, `logit_bias`, `max_tokens`

## Usage

<CodeGroup>
  ```python Python theme={null}
  import os
  from mem0 import Memory

  os.environ["OPENAI_API_KEY"] = "your-api-key"

  config = {
      "llm": {
          "provider": "openai",
          "config": {
              "model": "gpt-5-mini",
              "temperature": 0.2,
              "max_tokens": 2000,
          }
      }
  }

  # Use Openrouter by passing it's api key
  # os.environ["OPENROUTER_API_KEY"] = "your-api-key"
  # config = {
  #    "llm": {
  #        "provider": "openai",
  #        "config": {
  #            "model": "meta-llama/llama-3.1-70b-instruct",
  #        }
  #    }
  # }

  m = Memory.from_config(config)
  messages = [
      {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
      {"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
      {"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
      {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
  ]
  m.add(messages, user_id="alice", metadata={"category": "movies"})
  ```

  ```typescript TypeScript theme={null}
  import { Memory } from 'mem0ai/oss';

  const config = {
    llm: {
      provider: 'openai',
      config: {
        apiKey: process.env.OPENAI_API_KEY || '',
        model: 'gpt-4-turbo-preview',
        temperature: 0.2,
        maxTokens: 1500,
      },
    },
  };

  const memory = new Memory(config);
  const messages = [
      {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
      {"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
      {"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
      {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
  ]
  await memory.add(messages, { userId: "alice", metadata: { category: "movies" } });
  ```
</CodeGroup>

We also support the new [OpenAI structured-outputs](https://platform.openai.com/docs/guides/structured-outputs/introduction) model.

```python theme={null}
import os
from mem0 import Memory

os.environ["OPENAI_API_KEY"] = "your-api-key"

config = {
    "llm": {
        "provider": "openai_structured",
        "config": {
            "model": "gpt-5-mini",
            "temperature": 0.0,
        }
    }
}

m = Memory.from_config(config)
```

## Config

All available parameters for the `openai` config are present in [Master List of All Params in Config](../config).