> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Betas

> Enable Anthropic beta features like context-management with Claude on Vertex AI.

Beta features are experimental capability extensions for Anthropic models. You can use them with the `betas` parameter of the Agno Claude model class.

```python betas.py theme={null}
"""Example demonstrating how to use Anthropic beta features.

Beta features are experimental capability extensions for Anthropic models.
You can use them with the `betas` parameter of the Agno Claude model class.
"""

import anthropic
from agno.agent import Agent
from agno.models.vertexai.claude import Claude

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
# Setup the beta features we want to use
betas = ["context-management-2025-06-27"]
model = Claude(id="claude-sonnet-4@20250514", betas=betas)

# Note: you can see all beta features available in your Anthropic version like this:
all_betas = anthropic.types.AnthropicBetaParam
agent = Agent(model=model, debug_mode=True)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
# The beta features are now activated, the model will have access to use them.
if __name__ == "__main__":
    print("\n=== All available Anthropic beta features ===")
    beta_lines = "\n- ".join(str(b) for b in all_betas.__args__[1].__args__)
    print(f"- {beta_lines}")
    print("=============================================\n")

    print(
        "Note: Not all beta features are available across all inference providers. Read more here: https://platform.claude.com/docs/en/api/overview"
    )

    agent.print_response(
        "My name is John Doe and I live in New York City. I like to bike and hike in the Catskill Mountains."
    )
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno "anthropic[vertex]"
    ```
  </Step>

  <Step title="Export environment variables">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export ANTHROPIC_VERTEX_PROJECT_ID="your_anthropic_vertex_project_id_here"
      export CLOUD_ML_REGION="your_cloud_ml_region_here"
      ```

      ```bash Windows theme={null}
      $Env:ANTHROPIC_VERTEX_PROJECT_ID="your_anthropic_vertex_project_id_here"
      $Env:CLOUD_ML_REGION="your_cloud_ml_region_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Authenticate with Google Cloud">
    Sign in with Application Default Credentials:

    ```bash theme={null}
    gcloud auth application-default login
    ```
  </Step>

  <Step title="Run the example">
    Save the code above as `betas.py`, then run:

    ```bash theme={null}
    python betas.py
    ```
  </Step>
</Steps>

Full source: [cookbook/90\_models/vertexai/claude/betas.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/vertexai/claude/betas.py)