feat(ts-sdk): add LiteLLM as LLM provider (#5830)
Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>
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@@ -4,9 +4,12 @@ description: "Use LiteLLM as an LLM provider in Mem0 to access over 100 language
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---
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[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.
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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`).
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## Usage
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```python
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<CodeGroup>
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```python Python
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import os
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from mem0 import Memory
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@@ -33,6 +36,33 @@ messages = [
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m.add(messages, user_id="alice", metadata={"category": "movies"})
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```
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```typescript TypeScript
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import { Memory } from 'mem0ai/oss';
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// Point Mem0 at your LiteLLM proxy. apiKey defaults to "sk-anything"
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// (the proxy handles real auth); baseURL defaults to http://localhost:4000.
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const config = {
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llm: {
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provider: 'litellm',
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config: {
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apiKey: process.env.LITELLM_API_KEY || 'sk-anything',
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baseURL: process.env.LITELLM_API_BASE || 'http://localhost:4000',
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model: 'gpt-5-mini',
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},
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},
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};
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const memory = new Memory(config);
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const messages = [
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{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
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{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
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{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
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{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
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];
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await memory.add(messages, { userId: 'alice', metadata: { category: 'movies' } });
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```
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</CodeGroup>
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## Config
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All available parameters for the `litellm` config are present in [Master List of All Params in Config](../config).
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