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docs clarify vertex vs gemini
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# Gemini - Google AI Studio
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## Pre-requisites
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* `pip install -q google-generativeai`
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* Get API Key - https://aistudio.google.com/
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| Property | Details |
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|-------|-------|
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| Description | Google AI Studio is a fully-managed AI development platform for building and using generative AI. |
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| Provider Route on LiteLLM | `gemini/` |
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| Provider Doc | [Google AI Studio ↗](https://ai.google.dev/aistudio) |
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| API Endpoint for Provider | https://generativelanguage.googleapis.com |
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<br />
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## API Keys
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```python
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import os
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os.environ["GEMINI_API_KEY"] = "your-api-key"
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```
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# Gemini-Pro
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## Sample Usage
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```python
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from litellm import completion
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# VertexAI [Anthropic, Gemini, Model Garden]
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| Property | Details |
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|-------|-------|
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| Description | Vertex AI is a fully-managed AI development platform for building and using generative AI. |
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| Provider Route on LiteLLM | `vertex_ai/` |
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| Link to Provider Doc | [Vertex AI ↗](https://cloud.google.com/vertex-ai) |
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| Base URL | [https://{vertex_location}-aiplatform.googleapis.com/](https://{vertex_location}-aiplatform.googleapis.com/) |
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<br />
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<br />
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<a target="_blank" href="https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/liteLLM_VertextAI_Example.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a>
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