r"""Do subtraction between two numbers. Args: a (float): The minuend in subtraction. b (float): The subtrahend in sub

r"""Creates an instance of `BaseModelBackend` of the specified type. Args: model_platform (ModelPlatformType): Platform from whic

r"""Creates an instance of `BaseModelBackend` of the specified type. Args: model_platform (ModelPlatformType): Platform from whic

r"""Load the benchmark data. Args: force_download (bool): Whether to force download the data. Returns: BaseB

r"""Load the benchmark data. Args: force_download (bool): Whether to force download the data. Returns: BaseB

r"""Overrides the built-in :obj:`str.format` method to allow for default values in the format string. This is used to allow formatting

Get the area of the shape element. Returns: float: The area in square points.

r"""Overrides the built-in :obj:`str.format` method to allow for default values in the format string. This is used to allow formatting

r"""Convert the current configuration to a dictionary. This method converts the current configuration object to a dictionary represen

r"""Convert the current configuration to a dictionary. This method converts the current configuration object to a dictionary represen

Save the presentation to a file. Args: file_path (str): The file path to save the presentation. layout_only

Create isolated per-run workspace and copy needed code/assets into it.

r"""Create a deep copy of this File

r"""Create a new user message. Args: role_name (str): The name of the user role. content (str): The content of the me

r"""Create a new user message. Args: role_name (str): The name of the user role. content (str): The content of the me

r"""Runs inference of Yi chat completion. Args: messages (List[OpenAIMessage]): Message list with the chat history

r"""Creates an AlpacaItem from a formatted string. Args: text: String in either of these formats: With input:

r"""Performs a single step of the agent.

Save the presentation to a file. Args: file_path (str): The file path to save the presentation. layout_only

Generic TeX compile helper for a .tex file. Returns Path to PDF or None.

r"""Adds a new tool to the runtime.

r"""Closes the Redis client asynchronously.

r"""Creates an AlpacaItem from a formatted string. Args: text: String in either of these formats: With input:

r"""Create a deep copy of this File

r"""Runs inference of Yi chat completion. Args: messages (List[OpenAIMessage]): Message list with the chat history

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

r"""Performs a single step of the agent.

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

r"""Do subtraction between two numbers. Args: a (float): The minuend in subtraction. b (float): The subtrahend in sub

r"""Gets the name of the function from the OpenAI tool schema. Returns: str: The name of the function.

r"""Gets the name of the function from the OpenAI tool schema. Returns: str: The name of the function.

r"""Handle API operation errors consistently. Args: error (Exception): The caught exception. operation (str): Descrip

r"""Handle API operation errors consistently. Args: error (Exception): The caught exception. operation (str): Descrip

Parse the first table from an xml content. Returns: A docling table data.

Parse the first table from an xml content. Returns: A docling table data.

r"""Resets the :obj:`ChatAgent` to its initial state.

r"""Structures the input text into the expected response format. Args: text (str): The input text to be structured. o

r"""Resets the :obj:`ChatAgent` to its initial state.

Convert a single coordinate or dimension from 'units' to inches. For example, if your units are 'points' (72 points = 1 inch), then units

r"""Get a logger with the specified name, prefixed with 'camel.'. Args: name (str): The name to be appended to 'camel.' to create the log

r"""Get a logger with the specified name, prefixed with 'camel.'. Args: name (str): The name to be appended to 'camel.' to create the log

r"""Adds a new tool to the runtime.

r"""Structures the input text into the expected response format. Args: text (str): The input text to be structured. o

Convert a single coordinate or dimension from 'units' to inches. For example, if your units are 'points' (72 points = 1 inch), then units

Parse a Presentation from a file.

Parse a Presentation from a file.

r"""Execute a query on the graph store. Args: query (str): The Cypher-like query to be executed. Returns: Re

r"""Execute a query on the graph store. Args: query (str): The Cypher-like query to be executed. Returns: Re

r"""Prints the given text with an animated effect. Args: text (str): The text to print. delay (float, optional): The delay betwee

r"""Prints the given text with an animated effect. Args: text (str): The text to print. delay (float, optional): The delay betwee

r"""Executes a Neo4j Cypher declarative query in a database. Args: query (str): The Cypher query to be executed. para

r"""Executes a Neo4j Cypher declarative query in a database. Args: query (str): The Cypher query to be executed. para

r"""Create a new assistant message. Args: role_name (str): The name of the assistant role. content (str): The content

r"""Create a new assistant message. Args: role_name (str): The name of the assistant role. content (str): The content

Execute Python code and capture stdout as well as the full stack trace on error. Forces __name__ = "__main__" so that if __name__ == "__main_

r"""Clears all messages from the memory.

r"""Gets the OpenAI tool schema for this function. This method returns the OpenAI tool schema associated with this function, after va

r"""Gets the OpenAI tool schema for this function. This method returns the OpenAI tool schema associated with this function, after va

r"""Start the node.

Convert the table data to HTML, ensuring each row and cell is represented.

Convert the table data to HTML, ensuring each row and cell is represented.

r"""Clears all messages from the memory.

Find the most recent runs/*/output.zip from pipeline, compile, and return preview HTML + PDF path.

Generate text embeddings for a list of text strings. Args: text (list[str]): A list of text strings. model: The model used f