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(docs) add gemini-pro-vision
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# VertexAI - Google
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# VertexAI - Google [Gemini]
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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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litellm.vertex_location = "us-central1 # Your Location
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```
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## Gemini
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## Gemini Pro
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| Model Name | Function Call |
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|------------------|--------------------------------------|
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| gemini-pro | `completion('gemini-pro', messages)` |
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## Gemini Pro Vision
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| Model Name | Function Call |
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|------------------|--------------------------------------|
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| gemini-pro-vision | `completion('gemini-pro-vision', messages)` |
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#### Using Gemini Pro Vision
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LiteLLM supports `litellm.acompletion()`, `litellm.completion()` for `gemini-pro-vision`. You can call `gemini-pro-vision` in the same input/output format as OpenAI [`gpt-4-vision`](https://docs.litellm.ai/docs/providers/openai#openai-vision-models)
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**Example Request**
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```python
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import litellm
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response = litellm.completion(
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model = "vertex_ai/gemini-pro-vision",
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Whats in this image?"
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},
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{
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"type": "image_url",
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"image_url": {
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"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
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}
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}
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]
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}
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],
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)
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print(response)
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```
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## Chat Models
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| Model Name | Function Call |
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|------------------|--------------------------------------|
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