Merge pull request #2229 from BerriAI/litellm_vertex_docs

[Docs] Proxy - Pass vertex_params
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Ishaan Jaff 2024-02-27 17:55:52 -08:00 committed by GitHub
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import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
# VertexAI - Google [Gemini, Model Garden]
<a target="_blank" href="https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/liteLLM_VertextAI_Example.ipynb">
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## OpenAI Proxy Usage
Here's how to use Vertex AI with the LiteLLM Proxy Server
1. Modify the config.yaml
<Tabs>
<TabItem value="completion_param" label="Different location per model">
Use this when you need to set a different location for each vertex model
```yaml
model_list:
- model_name: gemini-vision
litellm_params:
model: vertex_ai/gemini-1.0-pro-vision-001
vertex_project: "project-id"
vertex_location: "us-central1"
- model_name: gemini-vision
litellm_params:
model: vertex_ai/gemini-1.0-pro-vision-001
vertex_project: "project-id2"
vertex_location: "us-east"
```
</TabItem>
<TabItem value="litellm_param" label="One location all vertex models">
Use this when you have one vertex location for all models
```yaml
litellm_settings:
vertex_project: "hardy-device-38811" # Your Project ID
@ -35,6 +66,10 @@ model_list:
model: gemini-pro
```
</TabItem>
</Tabs>
2. Start the proxy
```bash

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"litellm_provider": "vertex_ai-language-models",
"mode": "chat"
},
"gemini-1.5-pro-preview-0215": {
"max_tokens": 8192,
"max_input_tokens": 1000000,
"max_output_tokens": 8192,
"input_cost_per_token": 0,
"output_cost_per_token": 0,
"litellm_provider": "vertex_ai-language-models",
"mode": "chat"
},
"gemini-pro-vision": {
"max_tokens": 16384,
"max_output_tokens": 2048,