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Agent output

AgentOutputSchemaBase

Bases: ABC

An object that captures the JSON schema of the output, as well as validating/parsing JSON produced by the LLM into the output type.

ソースコード位置： src/agents/agent_output.py 
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class AgentOutputSchemaBase(abc.ABC):
    """An object that captures the JSON schema of the output, as well as validating/parsing JSON
    produced by the LLM into the output type.
    """

    @abc.abstractmethod
    def is_plain_text(self) -> bool:
        """Whether the output type is plain text (versus a JSON object)."""
        pass

    @abc.abstractmethod
    def name(self) -> str:
        """The name of the output type."""
        pass

    @abc.abstractmethod
    def json_schema(self) -> dict[str, Any]:
        """Returns the JSON schema of the output. Will only be called if the output type is not
        plain text.
        """
        pass

    @abc.abstractmethod
    def is_strict_json_schema(self) -> bool:
        """Whether the JSON schema is in strict mode. Strict mode constrains the JSON schema
        features, but guarantees valid JSON. See here for details:
        https://platform.openai.com/docs/guides/structured-outputs#supported-schemas
        """
        pass

    @abc.abstractmethod
    def validate_json(self, json_str: str) -> Any:
        """Validate a JSON string against the output type. You must return the validated object,
        or raise a `ModelBehaviorError` if the JSON is invalid.
        """
        pass

is_plain_text abstractmethod 

is_plain_text() -> bool

Whether the output type is plain text (versus a JSON object).

ソースコード位置： src/agents/agent_output.py 
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@abc.abstractmethod
def is_plain_text(self) -> bool:
    """Whether the output type is plain text (versus a JSON object)."""
    pass

name abstractmethod 

name() -> str

The name of the output type.

ソースコード位置： src/agents/agent_output.py 
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@abc.abstractmethod
def name(self) -> str:
    """The name of the output type."""
    pass

json_schema abstractmethod 

json_schema() -> dict[str, Any]

Returns the JSON schema of the output. Will only be called if the output type is not plain text.

ソースコード位置： src/agents/agent_output.py 
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@abc.abstractmethod
def json_schema(self) -> dict[str, Any]:
    """Returns the JSON schema of the output. Will only be called if the output type is not
    plain text.
    """
    pass

is_strict_json_schema abstractmethod 

is_strict_json_schema() -> bool

Whether the JSON schema is in strict mode. Strict mode constrains the JSON schema features, but guarantees valid JSON. See here for details: https://platform.openai.com/docs/guides/structured-outputs#supported-schemas

ソースコード位置： src/agents/agent_output.py 
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@abc.abstractmethod
def is_strict_json_schema(self) -> bool:
    """Whether the JSON schema is in strict mode. Strict mode constrains the JSON schema
    features, but guarantees valid JSON. See here for details:
    https://platform.openai.com/docs/guides/structured-outputs#supported-schemas
    """
    pass

validate_json abstractmethod 

validate_json(json_str: str) -> Any

Validate a JSON string against the output type. You must return the validated object, or raise a ModelBehaviorError if the JSON is invalid.

ソースコード位置： src/agents/agent_output.py 
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@abc.abstractmethod
def validate_json(self, json_str: str) -> Any:
    """Validate a JSON string against the output type. You must return the validated object,
    or raise a `ModelBehaviorError` if the JSON is invalid.
    """
    pass

AgentOutputSchema dataclass

Bases: AgentOutputSchemaBase

An object that captures the JSON schema of the output, as well as validating/parsing JSON produced by the LLM into the output type.

ソースコード位置： src/agents/agent_output.py 
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@dataclass(init=False)
class AgentOutputSchema(AgentOutputSchemaBase):
    """An object that captures the JSON schema of the output, as well as validating/parsing JSON
    produced by the LLM into the output type.
    """

    output_type: type[Any]
    """The type of the output."""

    _type_adapter: TypeAdapter[Any]
    """A type adapter that wraps the output type, so that we can validate JSON."""

    _is_wrapped: bool
    """Whether the output type is wrapped in a dictionary. This is generally done if the base
    output type cannot be represented as a JSON Schema object.
    """

    _output_schema: dict[str, Any]
    """The JSON schema of the output."""

    _strict_json_schema: bool
    """Whether the JSON schema is in strict mode. We **strongly** recommend setting this to True,
    as it increases the likelihood of correct JSON input.
    """

    def __init__(self, output_type: type[Any], strict_json_schema: bool = True):
        """
        Args:
            output_type: The type of the output.
            strict_json_schema: Whether the JSON schema is in strict mode. We **strongly** recommend
                setting this to True, as it increases the likelihood of correct JSON input.
        """
        self.output_type = output_type
        self._strict_json_schema = strict_json_schema

        if output_type is None or output_type is str:
            self._is_wrapped = False
            self._type_adapter = TypeAdapter(output_type)
            self._output_schema = self._type_adapter.json_schema()
            return

        # We should wrap for things that are not plain text, and for things that would definitely
        # not be a JSON Schema object.
        self._is_wrapped = not _is_subclass_of_base_model_or_dict(output_type)

        if self._is_wrapped:
            OutputType = TypedDict(
                "OutputType",
                {
                    _WRAPPER_DICT_KEY: output_type,  # type: ignore
                },
            )
            self._type_adapter = TypeAdapter(OutputType)
            self._output_schema = self._type_adapter.json_schema()
        else:
            self._type_adapter = TypeAdapter(output_type)
            self._output_schema = self._type_adapter.json_schema()

        if self._strict_json_schema:
            try:
                self._output_schema = ensure_strict_json_schema(self._output_schema)
            except UserError as e:
                raise UserError(
                    "Strict JSON schema is enabled, but the output type is not valid. "
                    "Either make the output type strict, "
                    "or wrap your type with AgentOutputSchema(YourType, strict_json_schema=False)"
                ) from e

    def is_plain_text(self) -> bool:
        """Whether the output type is plain text (versus a JSON object)."""
        return self.output_type is None or self.output_type is str

    def is_strict_json_schema(self) -> bool:
        """Whether the JSON schema is in strict mode."""
        return self._strict_json_schema

    def json_schema(self) -> dict[str, Any]:
        """The JSON schema of the output type."""
        if self.is_plain_text():
            raise UserError("Output type is plain text, so no JSON schema is available")
        return self._output_schema

    def validate_json(self, json_str: str) -> Any:
        """Validate a JSON string against the output type. Returns the validated object, or raises
        a `ModelBehaviorError` if the JSON is invalid.
        """
        validated = _json.validate_json(json_str, self._type_adapter, partial=False)
        if self._is_wrapped:
            if not isinstance(validated, dict):
                _error_tracing.attach_error_to_current_span(
                    SpanError(
                        message="Invalid JSON",
                        data={"details": f"Expected a dict, got {type(validated)}"},
                    )
                )
                raise ModelBehaviorError(
                    f"Expected a dict, got {type(validated)} for JSON: {json_str}"
                )

            if _WRAPPER_DICT_KEY not in validated:
                _error_tracing.attach_error_to_current_span(
                    SpanError(
                        message="Invalid JSON",
                        data={"details": f"Could not find key {_WRAPPER_DICT_KEY} in JSON"},
                    )
                )
                raise ModelBehaviorError(
                    f"Could not find key {_WRAPPER_DICT_KEY} in JSON: {json_str}"
                )
            return validated[_WRAPPER_DICT_KEY]
        return validated

    def name(self) -> str:
        """The name of the output type."""
        return _type_to_str(self.output_type)

output_type instance-attribute 

output_type: type[Any] = output_type

The type of the output.

__init__ 

__init__(
    output_type: type[Any], strict_json_schema: bool = True
)

引数：

名前 タイプ デスクリプション デフォルト
output_type type[Any]

The type of the output.

 必須
strict_json_schema bool

Whether the JSON schema is in strict mode. We strongly recommend setting this to True, as it increases the likelihood of correct JSON input.

 True
ソースコード位置： src/agents/agent_output.py 
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def __init__(self, output_type: type[Any], strict_json_schema: bool = True):
    """
    Args:
        output_type: The type of the output.
        strict_json_schema: Whether the JSON schema is in strict mode. We **strongly** recommend
            setting this to True, as it increases the likelihood of correct JSON input.
    """
    self.output_type = output_type
    self._strict_json_schema = strict_json_schema

    if output_type is None or output_type is str:
        self._is_wrapped = False
        self._type_adapter = TypeAdapter(output_type)
        self._output_schema = self._type_adapter.json_schema()
        return

    # We should wrap for things that are not plain text, and for things that would definitely
    # not be a JSON Schema object.
    self._is_wrapped = not _is_subclass_of_base_model_or_dict(output_type)

    if self._is_wrapped:
        OutputType = TypedDict(
            "OutputType",
            {
                _WRAPPER_DICT_KEY: output_type,  # type: ignore
            },
        )
        self._type_adapter = TypeAdapter(OutputType)
        self._output_schema = self._type_adapter.json_schema()
    else:
        self._type_adapter = TypeAdapter(output_type)
        self._output_schema = self._type_adapter.json_schema()

    if self._strict_json_schema:
        try:
            self._output_schema = ensure_strict_json_schema(self._output_schema)
        except UserError as e:
            raise UserError(
                "Strict JSON schema is enabled, but the output type is not valid. "
                "Either make the output type strict, "
                "or wrap your type with AgentOutputSchema(YourType, strict_json_schema=False)"
            ) from e

is_plain_text 

is_plain_text() -> bool

Whether the output type is plain text (versus a JSON object).

ソースコード位置： src/agents/agent_output.py 
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def is_plain_text(self) -> bool:
    """Whether the output type is plain text (versus a JSON object)."""
    return self.output_type is None or self.output_type is str

is_strict_json_schema 

is_strict_json_schema() -> bool

Whether the JSON schema is in strict mode.

ソースコード位置： src/agents/agent_output.py 
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def is_strict_json_schema(self) -> bool:
    """Whether the JSON schema is in strict mode."""
    return self._strict_json_schema

json_schema 

json_schema() -> dict[str, Any]

The JSON schema of the output type.

ソースコード位置： src/agents/agent_output.py 
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def json_schema(self) -> dict[str, Any]:
    """The JSON schema of the output type."""
    if self.is_plain_text():
        raise UserError("Output type is plain text, so no JSON schema is available")
    return self._output_schema

validate_json 

validate_json(json_str: str) -> Any

Validate a JSON string against the output type. Returns the validated object, or raises a ModelBehaviorError if the JSON is invalid.

ソースコード位置： src/agents/agent_output.py 
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def validate_json(self, json_str: str) -> Any:
    """Validate a JSON string against the output type. Returns the validated object, or raises
    a `ModelBehaviorError` if the JSON is invalid.
    """
    validated = _json.validate_json(json_str, self._type_adapter, partial=False)
    if self._is_wrapped:
        if not isinstance(validated, dict):
            _error_tracing.attach_error_to_current_span(
                SpanError(
                    message="Invalid JSON",
                    data={"details": f"Expected a dict, got {type(validated)}"},
                )
            )
            raise ModelBehaviorError(
                f"Expected a dict, got {type(validated)} for JSON: {json_str}"
            )

        if _WRAPPER_DICT_KEY not in validated:
            _error_tracing.attach_error_to_current_span(
                SpanError(
                    message="Invalid JSON",
                    data={"details": f"Could not find key {_WRAPPER_DICT_KEY} in JSON"},
                )
            )
            raise ModelBehaviorError(
                f"Could not find key {_WRAPPER_DICT_KEY} in JSON: {json_str}"
            )
        return validated[_WRAPPER_DICT_KEY]
    return validated

name 

name() -> str

The name of the output type.

ソースコード位置： src/agents/agent_output.py 
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def name(self) -> str:
    """The name of the output type."""
    return _type_to_str(self.output_type)