By default, the TextModule forward formats the input using the prompt template tensors using TextTensor multiplication,

r""" Args: query: Query embeddings of shape :math:`(L, E_q)` for unbatched input, :math:`(L, N, E_q)` when ``batch_first=False``

Text from a list of dicts of OpenAI style API responses

Creates a Text object from a Pandoc AST JSON string.

puts each item onto a nested tuple of keys

Helper function to recursively get items, given a list of nested keys. :param items: The list of items to sea

The function that each worker thread runs in the parallel backward. Args: queue: The queue of nodes to process in the computational

Removes headers entries of the MarkdownTensor and places them as keys of their following paragraphs. If multiple header levels are pr

Provides index-based indexing for TextTensor, leveraging the `iloc` method of the Text entries. You can access and manipulate sub-ele

Index-based indexing. You can access entries with nested keys using dot notation, e.g. .loc["key1.key2"]

Checks if an entry is a valid tree for a Text instance.

Prints the Text instance with keys aligned over their corresponding values.

Provides key-based indexing for TextTensor, leveraging the `loc` method of the Text entries. You can access and manipulate sub-elemen

Key-based indexing. You can access entries with nested keys using dot notation, e.g. .loc["key1.key2"]

Converts a given file into a Pandoc AST JSON format. Args: file_path (str): The path to the file to be converted. Returns:

Change negative to positive indices, handling newaxis (None) and slices. Parameters: - indices: a tuple containing integer indices, slic

Processes API requests in parallel, throttling to stay under rate limits.

Agent decides to revise their answer based on the other agent's response. Parameters: thought (str): The internal thought process

Run the backward pass using the execution engine. Args: tensors: List of tensors for which to compute gradients. grad_tensor

Use this decorator to set args with the value "default" to values from the context configuration. Example: @set_defaults_from_ctx

Return a new TextTensor, with an additional first dimension to split everything using sep as the delimiter. sep The de

Perform a single optimization step. This method updates the parameters of the optimizer by generating new text using the engine and u