modify_deployment_config

Update and adjust deployment configurations, including guardrail policies and model settings, to ensure AI safety and compliance. Modify settings like input/output guardrails, detector blocks, and additional configurations for tailored deployment management.

Instructions

Modify the deployment configuration and update the deployment.

Args: deployment_name: The name of the deployment to be modified. new_deployment_config: The new deployment configuration to be modified.

Example Usage:
{
    "deployment_config": {
        sample_deployment_config = {
        "name": deployment_name,
        "model_saved_name": model_saved_name,
        "input_guardrails_policy": {
            "policy_name": policy_name,
            "enabled": True,
            "additional_config": {
                "pii_redaction": False  #Add these if any additional detectors than that in the policy are needed
            },
            "block": [
                "injection_attack",    # Could be any of the active detectors (Ask user if they want to block)
                "policy_violation"
            ]
        },
        "output_guardrails_policy": {
            "policy_name": policy_name,
            "enabled": False,
            "additional_config": {
                "hallucination": False,  #Add these if any additional detectors than that in the policy are needed
                "adherence": False,
                "relevancy": False
            },
            "block": [
                "nsfw"    # Could be any of the active detectors (Ask user if they want to block)
            ]
        },
    }
}

Returns: A dictionary containing the response message and details of the modified deployment.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`deployment_name`	Yes
`new_deployment_config`	Yes

Implementation Reference

src/mcp_server.py:912-960 (handler)

The handler function for the 'modify_deployment_config' MCP tool. Decorated with @mcp.tool() for automatic registration and schema inference from type hints and docstring. Modifies the deployment config using deployment_client and returns the result as a dict.

@mcp.tool()
def modify_deployment_config(deployment_name: str, new_deployment_config: Dict[str, Any]) -> Dict[str, Any]:
    """
    Modify the deployment configuration and update the deployment.

    Args:
        deployment_name: The name of the deployment to be modified.
        new_deployment_config: The new deployment configuration to be modified.

        Example Usage:
        {
            "deployment_config": {
                sample_deployment_config = {
                "name": deployment_name,
                "model_saved_name": model_saved_name,
                "input_guardrails_policy": {
                    "policy_name": policy_name,
                    "enabled": True,
                    "additional_config": {
                        "pii_redaction": False  #Add these if any additional detectors than that in the policy are needed
                    },
                    "block": [
                        "injection_attack",    # Could be any of the active detectors (Ask user if they want to block)
                        "policy_violation"
                    ]
                },
                "output_guardrails_policy": {
                    "policy_name": policy_name,
                    "enabled": False,
                    "additional_config": {
                        "hallucination": False,  #Add these if any additional detectors than that in the policy are needed
                        "adherence": False,
                        "relevancy": False
                    },
                    "block": [
                        "nsfw"    # Could be any of the active detectors (Ask user if they want to block)
                    ]
                },
            }
        }

    Returns:
        A dictionary containing the response message and details of the modified deployment.
    """
    # Modify the deployment using the provided configuration
    modify_deployment_response = deployment_client.modify_deployment(deployment_name=deployment_name, config=new_deployment_config)

    # Return the response as a dictionary
    return modify_deployment_response.to_dict()

src/mcp_server.py:912-912 (registration)
The @mcp.tool() decorator registers the modify_deployment_config function as an MCP tool.
```
@mcp.tool()
```

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