Class LlmPolicy (0.3.0)

LlmPolicy(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Guardrail that blocks the conversation if the LLM response is considered violating the policy based on the LLM classification.

Attributes
Name	Description
`max_conversation_messages`	`int` Optional. When checking this policy, consider the last 'n' messages in the conversation. When not set a default value of 10 will be used.
`model_settings`	`google.cloud.ces_v1.types.ModelSettings` Optional. Model settings.
`prompt`	`str` Required. Policy prompt.
`policy_scope`	`google.cloud.ces_v1.types.Guardrail.LlmPolicy.PolicyScope` Required. Defines when to apply the policy check during the conversation. If set to `POLICY_SCOPE_UNSPECIFIED`, the policy will be applied to the user input. When applying the policy to the agent response, additional latency will be introduced before the agent can respond.
`fail_open`	`bool` Optional. If an error occurs during the policy check, fail open and do not trigger the guardrail.
`allow_short_utterance`	`bool` Optional. By default, the LLM policy check is bypassed for short utterances. Enabling this setting applies the policy check to all utterances, including those that would normally be skipped.

Classes

PolicyScope(value)

Defines when to apply the policy check during the conversation.