AgentResourceAccessMetadata

pydantic model openapi_client.models.agent_resource_access_metadata.AgentResourceAccessMetadata

Knowledge bases, guardrails, and SSM parameters the agent may use. Shared by POST /ai/agents, PUT /ai/agents/{id}, and GET /ai/agents/{id} details.

Fields:

• guard_rails (List[openapi_client.models.guardrail.Guardrail] | None)

• knowledgebase_access (List[openapi_client.models.knowledgebase_resource.KnowledgebaseResource] | None)

• parameter_access (List[str] | None)

field knowledgebase_access: Optional[Annotated[List[KnowledgebaseResource], Field(max_length=100)]] = None (alias 'KnowledgebaseAccess')

Knowledge bases by id and name (max 100).

field guard_rails: Optional[Annotated[List[Guardrail], Field(max_length=100)]] = None (alias 'GuardRails')

Guardrails to apply. When an item is supplied, Id and Version are required; Name is optional.

field parameter_access: Optional[Annotated[List[StrictStr], Field(max_length=35)]] = None (alias 'ParameterAccess')

SSM parameter keys the agent may access (max 35).

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of AgentResourceAccessMetadata from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of AgentResourceAccessMetadata from a dict

Return type:

Optional[Self]