Intelligent Agents and Their Applications
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This is the part where the Lead Qualifier starts thinking. You write the instructions Claude follows, send each inquiry to Claude with the official Python SDK, and get back a validated LeadAnalysis every time. By the end, a real sales inquiry goes in through your API and comes back as clean, structured JSON in about five seconds.
Most businesses still sort their incoming inquiries by hand. Someone reads every contact-form message and email, decides who is a real buyer, and types a reply. This series builds an AI agent that does the first pass in a few seconds: it reads an inquiry, pulls out the key details, scores it, drafts a reply, and hands everything back as clean JSON a CRM can use.
If you are about to create an Azure OpenAI resource, stop. Microsoft's own guidance is that most use cases should use a Foundry resource instead — it speaks every Azure OpenAI API you already use, and adds the rest of the model catalog, agents and tools on top. This guide creates one from scratch and deploys a model.
When creating an AdapterWithErrorHandler class that inherits from CloudAdapter, you might encounter this compile error:
Argument 3: cannot convert from 'Microsoft.Extensions.Logging.ILogger<Microsoft.Agents.Hosting.AspNetCore.IAgentHttpAdapter>' to 'Microsoft.Extensions.Logging.ILogger<Microsoft.Agents.Hosting.AspNetCore.CloudAdapter>'
This happens because you're passing ILogger<IAgentHttpAdapter> to the CloudAdapter base constructor, but it expects ILogger<CloudAdapter>.
