Parse and store transaction data from uploaded financial documents.

If you receive unstructured financial data (statements, receipts, CSV files, etc.),
extract transactions into the format: [{"date": "YYYY-MM-DD", "amount": number, "description": "string", "category": "string"}]

Args:
    transactions: List of transaction dictionaries, each containing:
        - date: Transaction date (string, format: YYYY-MM-DD)
        - amount: Transaction amount (number, can be negative for expenses)
        - description: Transaction description (string)
        - category: Transaction category (string, optional, e.g. "Food", "Transport", "Bills")

Returns:
    Success message with count of stored transactions

Search through all stored financial data using semantic search.

Args:
    query: Search query string to find relevant transactions

Returns:
    Formatted summary of matching transactions with totals

List stored transactions from the JSON ledger with optional pagination and filtering.

Args:
    limit: Maximum number of transactions to return (default 20)
    offset: Number of transactions to skip from the beginning (default 0)
    category: Optional category filter (case-insensitive)

Returns:
    Dictionary containing total count, pagination info, and transactions with index field

Delete transactions from both the JSON ledger and ChromaDB.

Args:
    indices: List of transaction indices (from list_transactions) to delete
    delete_all: Set to true to delete all transactions
    confirm: Must be true to actually perform deletion (safety guard)

Returns:
    Status message describing the deletion result