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docs: Improve Vertex AI documentation with custom model configuration #15439

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25 changes: 21 additions & 4 deletions docs/my-website/docs/providers/vertex.md
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Original file line number Diff line number Diff line change
Expand Up @@ -194,12 +194,12 @@ model_list:
model: vertex_ai/gemini-2.5-pro
vertex_project: "project-id"
vertex_location: "us-central1"
vertex_credentials: "/path/to/service_account.json" # [OPTIONAL] Do this OR `!gcloud auth application-default login` - run this to add vertex credentials to your env
vertex_credentials: "/path/to/service_account.json" # [OPTIONAL] Use this OR run `gcloud auth application-default login` to add Vertex credentials to your environment
```
or
For a custom Vertex AI model that follows the Gemini API specification:
```yaml
model_list:
- model_name: gemini-pro
- model_name: gemini-pro
litellm_params:
model: vertex_ai/gemini-1.5-pro
litellm_credential_name: vertex-global
Expand All @@ -210,6 +210,23 @@ model_list:
provider: Vertex
```

**Custom Model Configuration**

For custom models that follow the Gemini API specification:

```yaml
model_list:
- model_name: codenamecodename
litellm_params:
model: vertex_ai/codenamecodename
litellm_credential_name: vertex-global
vertex_project: level-district-390620
vertex_location: global
base_model: gemini
model_info:
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this is wrong. Model info should not be nested inside litellm_params.

What is base_model?

provider: Vertex
```

2. Start Proxy

```
Expand Down Expand Up @@ -280,7 +297,7 @@ model_list:
model: vertex_ai/gemini-2.5-pro
vertex_project: "project-id"
vertex_location: "us-central1"
vertex_credentials: "/path/to/service_account.json" # [OPTIONAL] Do this OR `!gcloud auth application-default login` - run this to add vertex credentials to your env
vertex_credentials: "/path/to/service_account.json" # [OPTIONAL] Use this OR run `gcloud auth application-default login` to add Vertex credentials to your environment
```

2. Start Proxy
Expand Down
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