Refactor docs (#3335)
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---
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title: Gemini
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---
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To use the Gemini model, set the `GEMINI_API_KEY` environment variable. You can obtain the Gemini API key from [Google AI Studio](https://aistudio.google.com/app/apikey).
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> **Note:** As of the latest release, Mem0 uses the new `google.genai` SDK instead of the deprecated `google.generativeai`. All message formatting and model interaction now use the updated `types` module from `google.genai`.
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> **Note:** Some Gemini models are being deprecated and will retire soon. It is recommended to migrate to the latest stable models like `"gemini-2.0-flash-001"` or `"gemini-2.0-flash-lite-001"` to ensure ongoing support and improvements.
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## Usage
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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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os.environ["OPENAI_API_KEY"] = "your-openai-api-key" # Used for embedding model
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os.environ["GEMINI_API_KEY"] = "your-gemini-api-key"
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config = {
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"llm": {
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"provider": "gemini",
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"config": {
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"model": "gemini-2.0-flash-001",
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"temperature": 0.2,
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"max_tokens": 2000,
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"top_p": 1.0
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}
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}
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}
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m = Memory.from_config(config)
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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 thrillers, but I love sci-fi movies."},
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{"role": "assistant", "content": "Got it! I'll avoid thrillers and suggest sci-fi movies instead."}
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]
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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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const config = {
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llm: {
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// You can also use "google" as provider ( for backward compatibility )
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provider: "gemini",
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config: {
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model: "gemini-2.0-flash-001",
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temperature: 0.1
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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 thrillers, but I love sci-fi movies." },
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{ role: "assistant", content: "Got it! I'll avoid thrillers and suggest sci-fi movies instead." }
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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 `Gemini` config are present in [Master List of All Params in Config](../config).
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@@ -611,7 +611,7 @@ curl -X GET "https://api.mem0.ai/v1/memories/?user_id=alex&page=1&page_size=50"
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"results": [
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{
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"id":"f38b689d-6b24-45b7-bced-17fbb4d8bac7",
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"memory":"是素食主义者,对坚果过敏。",
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"memory":"Is a vegetarian and allergic to nuts.",
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"agent_id":"travel-assistant",
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"hash":"62bc074f56d1f909f1b4c2b639f56f6a",
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"metadata":null,
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