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Junjo AI

OpenAIAgentTarget

junjo.plugins.openai_agents.evaluation.OpenAIAgentTarget

Kind: Class

SDK version: 0.67.0

Documentation channel: Stable release

Signature

Section titled “Signature”
OpenAIAgentTarget(*, key: str, name: str, input_version: int, input_type: TypeForm[InputT], expected_agent_name: str, factory: Callable[[InputT, EvaluationContext, ResourcesT], OpenAIAgentInvocation[ContextT] | Awaitable[OpenAIAgentInvocation[ContextT]]], projector: Callable[[RunResult, InputT, EvaluationContext, ResourcesT], object | Awaitable[object]])

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Execute an OpenAI Agent and bind its exact standard Agent span.

The target is conceptual kind agent in evaluation datasets without pretending the external runtime is a native Junjo Agent. It captures the one standard invoke_agent span whose Agent name matches expected_agent_name and returns an exact otel_span evidence reference. Missing, duplicate, or mismatched evidence fails clearly.

Constructor

Section titled “Constructor”

Declare one application-owned outer OpenAI Agent target.

Parameters

Section titled “Parameters”
Name Type Description Default
key str Stable dispatch identity within the application harness.
name str Human-readable target name snapshotted into Studio cases.
input_version int Positive version of the target input contract.
input_type TypeForm[InputT] Pydantic-compatible case input type.
expected_agent_name str Exact OpenAI Agent name expected on the
standard invoke_agent span.
factory Callable[[InputT, EvaluationContext, ResourcesT], OpenAIAgentInvocation[ContextT] | Awaitable[OpenAIAgentInvocation[ContextT]]] Application factory for a fresh invocation using the
validated input, evaluation context, and shared harness resources.
projector Callable[[RunResult, InputT, EvaluationContext, ResourcesT], object | Awaitable[object]] Mapping from the real RunResult to the subject
consumed by the case evaluator.

Raises

Section titled “Raises”
Exception Description
TargetContractError If declaration metadata or the input
contract is invalid.

Members

Section titled “Members”

input_schema

Section titled “input_schema”
input_schema: dict[str, object]

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Public attribute.

validate_input

Section titled “validate_input”
validate_input(input_json: object) -> InputT

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Public member documented by its signature.

execute

Section titled “execute”
execute(input_value: object, *, context: EvaluationContext, service_identity: ExecutionServiceIdentity, resources: object) -> TargetExecution

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Public member documented by its signature.