# Gemini - VertexAI

`ertexAI` is Google’s cloud platform for building, training, and deploying machine learning models.

### [​](https://docs.phidata.com/models/vertexai#authentication)Authentication <a href="#authentication" id="authentication"></a>

[Authenticate with Gcloud](https://cloud.google.com/vertex-ai/generative-ai/docs/start/quickstarts/quickstart-multimodal)

### [​](https://docs.phidata.com/models/vertexai#example)Example <a href="#example" id="example"></a>

Use `Gemini` with your `Agent`:

agent.py

```python
from bitca.agent import Agent, RunResponse
from bitca.model.vertexai import Gemini

agent = Agent(
    model=Gemini(id="gemini-1.5-flash"),
    markdown=True
)

# Get the response in a variable
# run: RunResponse = agent.run("Share a 2 sentence horror story.")
# print(run.content)

# Print the response on the terminal
agent.print_response("Share a 2 sentence horror story.")
```

### [​](https://docs.phidata.com/models/vertexai#params)Params <a href="#params" id="params"></a>

| Parameter        | Type                        | Default                        | Description                                                                                                                                                               |
| ---------------- | --------------------------- | ------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `id`             | `str`                       | `"claude-3-5-sonnet-20240620"` | The specific model ID used for generating responses.                                                                                                                      |
| `name`           | `str`                       | `"Claude"`                     | The name identifier for the agent.                                                                                                                                        |
| `provider`       | `str`                       | `"Anthropic"`                  | The provider of the model.                                                                                                                                                |
| `max_tokens`     | `Optional[int]`             | `1024`                         | The maximum number of tokens to generate in the response.                                                                                                                 |
| `temperature`    | `Optional[float]`           | -                              | The sampling temperature to use, between 0 and 2. Higher values like 0.8 make the output more random, while lower values like 0.2 make it more focused and deterministic. |
| `stop_sequences` | `Optional[List[str]]`       | -                              | A list of sequences where the API will stop generating further tokens.                                                                                                    |
| `top_p`          | `Optional[float]`           | -                              | Nucleus sampling parameter. The model considers the results of the tokens with top\_p probability mass.                                                                   |
| `top_k`          | `Optional[int]`             | -                              | The number of highest probability vocabulary tokens to keep for top-k-filtering.                                                                                          |
| `request_params` | `Optional[Dict[str, Any]]`  | -                              | Additional parameters to include in the request.                                                                                                                          |
| `api_key`        | `Optional[str]`             | -                              | The API key for authenticating requests to the service.                                                                                                                   |
| `client_params`  | `Optional[Dict[str, Any]]`  | -                              | Additional parameters for client configuration.                                                                                                                           |
| `client`         | `Optional[AnthropicClient]` | -                              | A pre-configured instance of the Anthropic client.                                                                                                                        |