Process an email and store it in Mem0 memory Args: email_content (str): Raw email content user_id (str): Use

Process a query using OpenAI and available MCP tools. Args: query: The user query. Returns: The response from OpenAI.

Process a query using OpenAI and available MCP tools. Args: query: The user query. Returns: The response fro

Read one markdown file by relative path.

Read a markdown file by relative path. Refuses paths outside the notes directory.

Fuse multiple ranked lists of doc_ids into one ranked list.

Reviewer: Analyze and improve overall cohesion

Router LLM call to determine the type of calendar request

Return the top-k (doc_id, score) pairs for a query.

Return the top-k (doc_id, similarity) pairs for a query.

Search through stored emails Args: query (str): Search query user_id (str): User identifier

Retrieve the handbook content for the agent to interpret. Note: The query parameter is accepted but not used - we return the full handbook. T

Retrieve top candidate_k from each retriever, fuse, return top k.

Load the whole knowledge base from the JSON file. (This is a mock function for demonstration purposes, we don't search)

Check if the input is a valid calendar request

Process the entire blog writing task

Worker: Write a specific blog section with context from previous sections. Args: topic: The main blog topic section:

Initialize the tokenizer. Args: model_name: The name of the OpenAI encoding to use max_length: Maximum sequence lengt

Initialize the Email Processor with Mem0 memory client

Initialize the CustomerSupportAIAgent with memory configuration and OpenAI client.

Initialize the OpenAI MCP client. Args: model: The OpenAI model to use.

Add two numbers together

Add two numbers together

Clean up resources.

Class method to match HuggingFace's interface.

Retrieve all emails in a thread based on subject Args: subject (str): Email subject to match user_id (str):

Retrieve the entire knowledge base as a formatted string. Returns: A formatted string containing all Q&A pairs from the knowledge base.

Retrieve all memories associated with the given customer ID. :param user_id: Optional user ID to filter memories. :return: L

Get web search tool definition for responses API.

Search markdown notes with ripgrep and return matching `file:line:text` lines. Set `context` to include N surrounding lines around each match (rg

List files in the notes directory using a glob pattern.

Read a bounded line range from a file relative to the notes root.