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@arizeai/phoenix-mcp

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by Arize-ai
vertexai-evals.md1.01 kB
--- description: Configure and run VertexAI for evals --- # VertexAI Evals ### VertexAI {% hint style="info" %} Need to install the extra dependency`google-cloud-aiplatform>=1.33.0` {% endhint %} <pre class="language-python"><code class="lang-python">class VertexAIModel: <strong> project: Optional[str] = None </strong> location: Optional[str] = None credentials: Optional["Credentials"] = None model: str = "text-bison" tuned_model: Optional[str] = None temperature: float = 0.0 max_tokens: int = 256 top_p: float = 0.95 top_k: int = 40 </code></pre> To authenticate with VertexAI, you must pass either your credentials or a project, location pair. In the following example, we quickly instantiate the VertexAI model as follows: ```python project = "my-project-id" location = "us-central1" # as an example model = VertexAIModel(project=project, location=location) model("Hello there, this is a tesst if you are working?") # Output: "Hello world, I am working!" ```

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