Clean up - but now this just removes temp files, not the workspace

Display Python execution results with minimal overhead Args: result_data: Execution result data processed_files: List of

Display a generated file with appropriate preview Args: file_info: File information dictionary

Execute Python code locally and capture output, errors, and generated files Args: code: Python code to execute

Execute Python code locally and return formatted results Args: code: Python code to execute Returns: Tuple

This function processes the files uploaded by the user for further use by the chat application. The processed documents are then added to the

Converts a numpy array of float32 amplitude data to a numpy array in int16 format. :param float32_array: numpy array of float32 :return:

Get the current weather in a given location

Get token count

List all files currently in the Python workspace Returns: JSON string with list of files and their info

Process a generated file and prepare it for attachment Args: file_path: Path to the generated file Returns:

Process tool calls made by the model Args: tool_calls: Dictionary of tool calls from the model context_messages: Conversatio

Search the web using Linkup SDK Args: query: The search query string depth: Search depth ("standard" or "deep") Returns

Display animated message with minimal resource usage

Instantiate and configure the OpenAI Realtime Client

Display full conversation history for debugging Args: current_message: Current message that triggered this full_history:

Display model reasoning summary

Simple calculator for testing function calls

Truncate conversation messages to fit within token limit. Simply keeps the most recent messages that fit within the token budget. Ensures

Upload a file to the persistent workspace Args: filename: Name of the file to save content: File content as bytes