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ASSISTANT_ROLE module-attribute 

ASSISTANT_ROLE = MessageRole(ASSISTANT)

The assistant role with name not specified.

MaybeOneOrMany module-attribute 

MaybeOneOrMany = Union[_T, Sequence[_T], None]

A type that can be either a single item, a sequence of items, or None.

OneOrMany module-attribute 

OneOrMany = Union[_T, Sequence[_T]]

A type that can be either a single item or a sequence of items.

SYSTEM_ROLE module-attribute 

SYSTEM_ROLE = MessageRole(SYSTEM)

The system role with name not specified.

StrOrImg module-attribute 

StrOrImg = Union[String, Image]

A type that can be either a string or an image.

String module-attribute 

String = Union[StringFuture, str]

String is a type alias for StringFuture or str.

TOOL_ROLE module-attribute 

TOOL_ROLE = MessageRole(TOOL)

The tool role with name not specified.

USER_ROLE module-attribute 

USER_ROLE = MessageRole(USER)

The user role with name not specified.

CallFuture 

CallFuture(
    func: Callable,
    *args: Any,
    use_process: bool = False,
    lazy_eval: bool = False,
    **kwargs: Any
)

Bases: FutureValue

Represent a function call that may not be ready yet.

Parameters:

  • func (Callable) –

    The function to call.

  • *args (Any, default: () ) –

    The arguments of the function.

  • use_process (bool, default: False ) –

    Whether to use a process pool executor.

  • lazy_eval (bool, default: False ) –

    Whether to delay the start of the call until needed.

  • **kwargs (Any, default: {} ) –

    The keyword arguments of the function.

Source code in src/appl/core/types/futures.py 
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def __init__(
    self,
    func: Callable,
    *args: Any,
    use_process: bool = False,
    lazy_eval: bool = False,
    **kwargs: Any,
):
    """Initialize the CallFuture.

    Args:
        func: The function to call.
        *args: The arguments of the function.
        use_process: Whether to use a process pool executor.
        lazy_eval: Whether to delay the start of the call until needed.
        **kwargs: The keyword arguments of the function.
    """
    # ? maybe use a global executor from the config, or use thread-level executor if running in multi-threading.
    self._executor = (
        ProcessPoolExecutor(max_workers=1)
        if use_process
        else ThreadPoolExecutor(
            max_workers=1, thread_name_prefix=threading.current_thread().name
        )
    )
    self._submit_fn = lambda: self._executor.submit(func, *args, **kwargs)
    self._submitted = False
    self._info = func.__name__
    # self._debug = False
    # if self._debug:
    #     # arg and kwargs might contains future objects
    #     args_list = [f"{arg}" for arg in args] + [
    #         f"{k}={v!r}" for k, v in kwargs.items()
    #     ]
    #     args_str = ", ".join(args_list)
    #     self._info += f"({args_str})"
    if not lazy_eval:
        # delay the start of the call until needed
        self._submit()

future property 

future

The future object of the call.

val property 

val

The value of the future.

cancel 

cancel() -> bool

Cancel the call.

Source code in src/appl/core/types/futures.py 
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def cancel(self) -> bool:
    """Cancel the call."""
    # Attempt to cancel the call
    res = self.future.cancel()
    if res:
        self._executor.shutdown()  # the executor is not needed anymore
    return res

done 

done() -> bool

Check if the call has completed.

Source code in src/appl/core/types/futures.py 
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def done(self) -> bool:
    """Check if the call has completed."""
    # Check if the future has completed
    return self.future.done()

result 

result(timeout: Optional[float] = None) -> Any

Get the result of the call.

Source code in src/appl/core/types/futures.py 
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def result(self, timeout: Optional[float] = None) -> Any:
    """Get the result of the call."""
    # This will block until the result is available
    res = self.future.result(timeout)
    self._executor.shutdown()  # the executor is not needed anymore
    return res

CmpStringFuture 

CmpStringFuture(
    a: StringFuture,
    b: StringFuture,
    op: Callable[[str, str], bool],
)

Bases: FutureValue

Represent a comparison between a StringFuture and another value.

Source code in src/appl/core/types/futures.py 
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def __init__(
    self, a: "StringFuture", b: "StringFuture", op: Callable[[str, str], bool]
):
    """Initialize the CmpStringFuture."""
    self._a = a
    self._b = b
    self._op = op

val property 

val

The value of the future.

ContentList

Bases: BaseModel

Represent a list of contents containing text and images.

append 

append(content: StrOrImg) -> None

Append a content to the list.

If the last content is a string, it will be concatenated with the new content.

Source code in src/appl/core/types/content.py 
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def append(self, content: StrOrImg) -> None:
    """Append a content to the list.

    If the last content is a string, it will be concatenated with the new content.
    """
    if is_string(content) and len(self.contents) and is_string(self.contents[-1]):
        self.contents[-1] += content  # type: ignore
    else:
        self.contents.append(content)

extend 

extend(contents: list[StrOrImg]) -> None

Extend the list with multiple contents.

Source code in src/appl/core/types/content.py 
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def extend(self, contents: list[StrOrImg]) -> None:
    """Extend the list with multiple contents."""
    for content in contents:
        self.append(content)

get_contents 

get_contents() -> List[Dict[str, Any]]

Return the contents as a list of dictionaries.

Source code in src/appl/core/types/content.py 
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def get_contents(self) -> List[Dict[str, Any]]:
    """Return the contents as a list of dictionaries."""

    def get_dict(content):
        if isinstance(content, Image):
            image_args = {"url": content.url}
            if content.detail:
                image_args["detail"] = content.detail
            return {"type": "image_url", "image_url": image_args}
        return {"type": "text", "text": str(content)}

    return [get_dict(c) for c in self.contents]

FutureValue

Bases: ABC

Represents a value that may not be ready yet.

val property 

val

The value of the future.

Image 

Image(url: str, detail: Optional[str] = None)

Bases: BaseModel

Represent an image in the message.

See the guide for more information about the detail level.

Source code in src/appl/core/types/content.py 
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def __init__(self, url: str, detail: Optional[str] = None) -> None:
    """Initialize the image with the URL and detail level.

    See [the guide](https://platform.openai.com/docs/guides/vision/low-or-high-fidelity-image-understanding)
    for more information about the detail level.
    """
    super().__init__(url=url, detail=detail)

from_file classmethod 

from_file(
    file: PathLike, detail: Optional[str] = None
) -> Image

Construct an image prompt from an image file.

Source code in src/appl/core/types/content.py 
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@classmethod
def from_file(cls, file: PathLike, detail: Optional[str] = None) -> "Image":
    """Construct an image prompt from an image file."""
    image = PIL.Image.open(file)
    return cls.from_image(image, detail)

from_image classmethod 

from_image(
    image: ImageFile, detail: Optional[str] = None
) -> Image

Construct an image prompt from a PIL ImageFile.

Source code in src/appl/core/types/content.py 
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@classmethod
def from_image(cls, image: ImageFile, detail: Optional[str] = None) -> "Image":
    """Construct an image prompt from a PIL ImageFile."""
    buffered = BytesIO()
    # Save the image to the buffer in PNG format
    image.save(buffered, format="PNG")
    # Get the byte data from the buffer
    img_byte = buffered.getvalue()
    img_base64 = base64.b64encode(img_byte).decode("utf-8")
    return cls(url=f"data:image/png;base64,{img_base64}", detail=detail)

MessageRole 

MessageRole(
    type: Optional[str] = None, name: Optional[str] = None
)

Bases: BaseModel

The role of the message owner.

Parameters:

  • type (Optional[str], default: None ) –

    The type of the role.

  • name (Optional[str], default: None ) –

    An optional name for the role, differentiate between roles of the same type."

Source code in src/appl/core/types/role.py 
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def __init__(self, type: Optional[str] = None, name: Optional[str] = None):
    """Initialize the MessageRole object.

    Args:
        type: The type of the role.
        name: An optional name for the role, differentiate between roles of the same type."
    """
    super().__init__(type=type, name=name)

is_assistant property 

is_assistant: bool

Whether the role is an assistant role.

is_system property 

is_system: bool

Whether the role is a system role.

is_tool property 

is_tool: bool

Whether the role is a tool role.

is_user property 

is_user: bool

Whether the role is a user role.

get_dict 

get_dict() -> Dict[str, Any]

Get the role as a dictionary.

Source code in src/appl/core/types/role.py 
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def get_dict(self) -> Dict[str, Any]:
    """Get the role as a dictionary."""
    data = {"role": self.type}
    if self.name:
        data["name"] = self.name
    return data

PromptFunc 

PromptFunc(
    func: Callable,
    ctx_method: str = "new",
    comp: Optional[Compositor] = None,
    default_return: Optional[Literal["prompt"]] = None,
    include_docstring: bool = False,
    new_ctx_func: Callable = PromptContext,
)

A wrapper for an APPL function, can be called as a normal function.

The function contains a prompt context, which could be same as or copied from its caller function, or created from scratch, or resumed from the last run.

Parameters:

  • func (Callable) –

    the function being wrapped

  • ctx_method (str, default: 'new' ) –

    the method to deal with the child context, available methods includes:

    • (default) "new" or "new_ctx": create a brand new context.
    • "copy" or "copy_ctx": copy from the parent's context, the change will not affect the parent's context.
    • "same" or "same_ctx": use the same context as the parent's, the change will affect the parent's context.
    • "resume" or "resume_ctx": resume its own context from the last run. For the first run, it will copy the parent's context.
  • comp (Compositor, default: None ) –

    the default compositor to be used. Defaults to None.

  • default_return (str, default: None ) –

    The default return value, "prompt" means return the prompt within the function. Defaults to None.

  • include_docstring (bool, default: False ) –

    set to True to include the triple-quoted docstring in the prompt. Defaults to False.

  • new_ctx_func (Callable, default: PromptContext ) –

    the function to create a new context. Defaults to PromptContext.

Source code in src/appl/core/function.py 
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def __init__(
    self,
    func: Callable,
    ctx_method: str = "new",
    comp: Optional[Compositor] = None,
    default_return: Optional[Literal["prompt"]] = None,
    include_docstring: bool = False,
    new_ctx_func: Callable = PromptContext,
    # default_sep: Optional[str] = None,
    # ? set the default printer behavior for the prompt function?
):
    """Initialize the PromptFunc.

    Args:
        func (Callable): the function being wrapped
        ctx_method (str):
            the method to deal with the child context, available methods includes:

            - (default) "new" or "new_ctx": create a brand new context.
            - "copy" or "copy_ctx":
                copy from the parent's context, the change will not
                affect the parent's context.
            - "same" or "same_ctx":
                use the same context as the parent's, the change will
                affect the parent's context.
            - "resume" or "resume_ctx":
                resume its own context from the last run.
                For the first run, it will copy the parent's context.

        comp (Compositor, optional):
            the default compositor to be used. Defaults to None.
        default_return (str, optional):
            The default return value, "prompt" means return the prompt within
            the function. Defaults to None.
        include_docstring (bool, optional):
            set to True to include the triple-quoted docstring in the prompt.
            Defaults to False.
        new_ctx_func (Callable, optional):
            the function to create a new context. Defaults to PromptContext.
    """
    self._func = appl_compile(func)
    self._signature = inspect.signature(func)
    self._doc = func.__doc__
    self._name = func.__name__
    self._qualname = func.__qualname__
    self._default_ctx_method = self._process_ctx_method(ctx_method)
    self._default_compositor = comp
    if default_return is not None and default_return != "prompt":
        raise NotImplementedError("Only support default_return='prompt' now.")
    self._default_return = default_return
    self._include_docstring = include_docstring
    self._new_ctx_func = new_ctx_func
    self._persist_ctx: Optional[PromptContext] = None
    self._reset_context_func: Optional[Callable[[], None]] = None

compiled_func property 

compiled_func

The compiled function.

ResponseType

Bases: str, Enum

The type of generation response.

IMAGE class-attribute instance-attribute 

IMAGE = 'image'

An image.

OBJECT class-attribute instance-attribute 

OBJECT = 'obj'

An instance of a response model.

TEXT class-attribute instance-attribute 

TEXT = 'text'

A text completion.

TOOL_CALL class-attribute instance-attribute 

TOOL_CALL = 'tool_calls'

A list of tool calls.

UNFINISHED class-attribute instance-attribute 

UNFINISHED = 'unfinished'

The response is not finished.

StringFuture 

StringFuture(content: Any = '', set_value: bool = False)

Bases: FutureValue, BaseModel

StringFuture is a string that may not be ready yet.

Source code in src/appl/core/types/futures.py 
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def __init__(self, content: Any = "", set_value: bool = False):
    """Initialize the StringFuture."""
    if set_value:
        if not isinstance(content, List):
            raise ValueError("Cannot set value to non-list.")
        s = content
    else:
        s = [content]
    super().__init__(s=s)

val property 

val

The value of the future.

from_list classmethod 

from_list(content: List[Any]) -> StringFuture

Create a StringFuture from a list of content.

Source code in src/appl/core/types/futures.py 
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@classmethod
def from_list(cls, content: List[Any]) -> "StringFuture":
    """Create a StringFuture from a list of content."""
    return cls(content, set_value=True)

join 

join(iterable: Iterable[StringFuture]) -> StringFuture

Concatenate any number of strings.

The StringFuture whose method is called is inserted in between each given StringFuture. The result is returned as a new StringFuture.

Source code in src/appl/core/types/futures.py 
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def join(self, iterable: Iterable["StringFuture"]) -> "StringFuture":
    """Concatenate any number of strings.

    The StringFuture whose method is called is inserted in between each
    given StringFuture. The result is returned as a new StringFuture.
    """
    result = []
    for i, x in enumerate(iterable):
        if i != 0:
            result.append(self)
        result.append(x)
    return StringFuture.from_list(result)

materialized 

materialized() -> StringFuture

Materialize the StringFuture.

Source code in src/appl/core/types/futures.py 
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def materialized(self) -> "StringFuture":
    """Materialize the StringFuture."""
    self.s = [self._collapse()]
    return self

serialize 

serialize() -> str

Serialize the StringFuture.

Source code in src/appl/core/types/futures.py 
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def serialize(self) -> str:
    """Serialize the StringFuture."""
    return str(self)

is_string 

is_string(s: Any) -> bool

Check if the object is a StringFuture or str.

Source code in src/appl/core/types/futures.py 
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def is_string(s: Any) -> bool:
    """Check if the object is a StringFuture or str."""
    return isinstance(s, StringFuture) or isinstance(s, str)