Agents in LangChain

Let’s explore how to build an agent using LangChain with a practical example. Our goal is to create an agent capable of managing a user’s bank accounts. This agent should be able to retrieve the balance of each account and execute transactions between them.

While in a production environment, we would interact with dedicated banking systems via APIs, let’s craft a simple mock framework for our example. To keep the code limited, the implementation of the methods is available in the code repository.

from pydantic import BaseModel
class Account(BaseModel):
    """Represents a bank account with a name and balance."""
    name: str
    balance: float
class UserAccounts(BaseModel):
    """Represents a collection of bank accounts for a user."""
    accounts: list[Account]
  &...