From the course: Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications

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Implementing the dialogue simulator class

Implementing the dialogue simulator class

From the course: Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications

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Implementing the dialogue simulator class

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Now that we've seen how to implement a dialogue agent, let's take a look at the DialogueSimulator class. This class is at the heart of our agent interactions. It manages who speaks, when, and how messages are passed between agents. So let's start by defining the class and its initialization method. Here, we have our initialization, with the list of agents passed in, and a selection function to determine the next speaker. This setup allows for a controlled yet flexible conversational flow. Keep in mind that the selection function can be anything that you want it to be. Next, we have the reset function where the method resets the state of each agent, preparing them for a new conversation. This is crucial for starting fresh dialogues. We then have the inject function. This function allows us to initiate the conversation with a message from a specific agent. It sets the stage for the dialogue. These are fairly simple, but the next one is very important, which is the step function. The…

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