> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.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)

# ---------------------------------------------------------------------------
# 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

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno "anthropic[vertex]"
```

**2. Export environment variables**

```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"
```

**3. Authenticate with Google Cloud**

Sign in with Application Default Credentials:

```bash theme={null}
gcloud auth application-default login
```

**4. Run the example**

Save the code above as `betas.py`, then run:

```bash theme={null}
python betas.py
```

Full source: [cookbook/90\_models/vertexai/claude/betas.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/vertexai/claude/betas.py)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.