> ## 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.

# LiteLLM

> Use LiteLLM as an LLM provider in Mem0 to access over 100 language models through a unified interface.

[Litellm](https://litellm.vercel.app/docs/) is compatible with over 100 large language models (LLMs), all using a standardized input/output format. You can explore the [available models](https://litellm.vercel.app/docs/providers) to use with Litellm. Ensure you set the `API_KEY` for the model you choose to use.

In the TypeScript SDK, run LiteLLM as a [proxy server](https://docs.litellm.ai/docs/simple_proxy) (an OpenAI-compatible endpoint) and point Mem0 at it via `LITELLM_API_BASE` (defaults to `http://localhost:4000`).

## Usage

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

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

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

  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';

  // Point Mem0 at your LiteLLM proxy. apiKey defaults to "sk-anything"
  // (the proxy handles real auth); baseURL defaults to http://localhost:4000.
  const config = {
    llm: {
      provider: 'litellm',
      config: {
        apiKey: process.env.LITELLM_API_KEY || 'sk-anything',
        baseURL: process.env.LITELLM_API_BASE || 'http://localhost:4000',
        model: 'gpt-5-mini',
      },
    },
  };

  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>

## Config

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