r"""Whether tool calling is enabled for this agent. Returns: bool: Whether tool calling is enabled for this agent, determined

Load prompt text from file, with fallback to default if file doesn't exist.

r""" Post-process the ocr and programmatic cells and return the final list of of cells

r"""Records the externally provided message into the agent memory as if it were an answer of the :obj:`ChatAgent` from the backend. Currently,

r"""Resets the node to its initial state.

r"""Get a record list from the memory for creating model context. Returns: List[ContextRecord]: A record list for creating model

r"""Specify the given task prompt by providing more details. Args: task_prompt (Union[str, TextPrompt]): The original task

Save the current Presentation object to disk. :param prs: The Presentation object. :param file_name: The file path/name for the save

r"""Start the node.

r"""Executes a single step in the chat session, generating a response to the input message. Args: input_message (Union[Ba

r"""Converts the message to a dictionary. Returns: dict: The converted dictionary.

Load prompt text from file, with fallback to default if file doesn't exist.

Internal helper to convert a numeric font size (e.g., 12) to a python-pptx Pt object. If it's already a Pt, return as-is.

Approximate conversion from pixels to points. A common assumption is 1px ~ 0.75pt. Adjust as needed for your environment.

Sort cells in native reading order.

r"""Process the output of a chat step and gather information about the step. This method checks for termination conditions, updates t

r"""Validates the format of a time label string. Args: time_label (str): The time label string to validate. Shoul

r"""Deletes points from the collection based on either IDs or payload filters. Args: ids (Optional[List[str]], optional):

r"""Generates an embedding for the given text. Args: obj (T): The object for which to generate the embedding. **kwarg

Find all intervals containing the point.

r"""Get the message history of an agent. Args: name (str): The name of the agent. Returns: List[CollectorDat

r"""Returns the output dimension of the embeddings. Returns: int: The dimensionality of the embedding for the current model.

r"""Generates a text prompt for the system role, using the specified :obj:`task_type` and :obj:`role_type`. Args: task_ty

r"""Normalize a string. Args: input_str: The input string to normalize. remove_punct: Whether to remove punctuation.

Function to reshape the time vector t by the number of dimensions of x. Parameters ---------- x : Tensor, shape (bs, *dim) repres

r"""Executes a query and compiles the results. Args: query (str): Query string for information retriever. top_k (int,

r"""Reads a CSV file and returns a DataFrame. Args: file_path (str): The path to the CSV file. *args (Any): Additiona

r"""Reset the workforce and all the child nodes under it. Can only be called when the workforce is not running.

r"""Rounds a number to a specified number of decimal places. Args: a (float): The number to be rounded. decimal_place

Helper for setting incremental state for an nn.Module.

r"""BabyAGI agent would pull the first task from the task list, complete the task based on the context, then creates new tasks and re-

r"""Strips consecutive newlines from a string. Args: text (str): The string to strip. Returns: str: The string with consecut

Ensure each cell appears only once, maintaining order of first appearance.

r"""Deletes an existing collection from the database. Args: collection (str): Name of the collection to be deleted. *

Ensure directory exists

r"""Converts a time offset in seconds to a more natural language description using hours as the unit, with decimal places to represent minutes

r"""Get the information of all the child nodes under this node.

r"""Handles the HTTP response by checking the status code and returning an appropriate message if there is an error. Args: response (

r"""Helper method to initialize tools as FunctionTool instances.

Load samples for a specific task type from the unified config.

Parse the GPT response and ensure it's in the correct format.

r"""Send all the pending tasks that have all the dependencies met to the channel, or directly return if there is none. For now, we will

Render HTML to a PNG screenshot and return the file path, or None on failure. Uses Playwright for better performance and reliability.

r"""Internal function for agent step model response.

r"""Validate if the object is a valid Node. Args: node (Node): Object to be validated. Returns: bool: True i

r"""Add a node with the specified tag and properties. Args: node_id (str): The ID of the node. tag_name (str): The ta

Rebuild this table on a pptx slide.

Yield successive chunks of chunk_size from the iterable.

Uses an external LLM (OpenAI API) to classify the model's free-text output into a predefined set of main deficiency categories.

r"""Reads raw bytes and returns a File object. Args: raw_bytes (bytes): The raw bytes content of the file. filename (str): The na

r"""Ensures a tag is created in the NebulaGraph database. If the tag already exists, it does nothing. Args: tag_name (str

r"""Run a command inside this container. Similar to `docker exec`. Args: task (TaskConfig): The configuration for the task.

Extract content from <answer></answer> tags

r"""Reconstruct a :obj:`MemoryRecord` from the input dict. Args: record_dict(Dict[str, Any]): A dict generated by :meth:`to_dict`

r"""Generate role names from the file. Returns: Generator[Tuple, None, None]: A generator that yields tuples of a

r"""Get an answer from the chat agent for a given question. Args: question (str): The question to ask. context (str):

r"""Get a dataset client from the Apify platform. Args: dataset_id (str): The ID of the dataset to get the client for. R