From the course: Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications
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Simulating a debate with tool integration
From the course: Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications
Simulating a debate with tool integration
Now that we've seen how we can equip our agents with tools using the DialogueAgentWithTools class, let's take a look at a fascinating example of simulating a debate on remote work using LangChain. This simulation illustrates how we can use AI to mimic real-life discussions. First, let's take a look at our code. We have our agent descriptions at the top where we have two agents, Alex and Jordan. I've defined Alex as an advocate for remote work, while Jordan is skeptical, focusing on the potential downsides. I've described these in the Agent Descriptions dictionary. Next, we have a helper function that helps us generate a system message. The system message guides the agent by providing them their names, descriptions, and debate objectives. Notice how we instruct them to support their arguments with research and not to fabricate information. Finally, I specify my debate topic. You can choose a topic that you like. I've chosen the impact of remote work on employee productivity, which is…
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