39 lines
1.2 KiB
Plaintext
39 lines
1.2 KiB
Plaintext
---
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title: Gemini
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---
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To use Gemini model, you have to set the `GEMINI_API_KEY` environment variable. You can obtain the Gemini API key from the [Google AI Studio](https://aistudio.google.com/app/apikey)
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## Usage
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```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-api-key" # used for embedding model
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os.environ["GEMINI_API_KEY"] = "your-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-1.5-flash-latest",
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"temperature": 0.2,
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"max_tokens": 2000,
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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 a 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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m.add(messages, user_id="alice", metadata={"category": "movies"})
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```
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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). |