Convex Agents Fundamentals

To set up Convex agents for chat-based AI interactions, add the agents scaffold to your project and run the development workflow to generate the required code. This provides a straightforward configuration and reusable patterns for managing agents, threads, and generation flows.

Thread management for Convex agents works by creating and maintaining user conversation threads with persistent history across interactions. This ensures consistent agent behavior and allows the application to track chat context reliably over time.

Yes, you can generate both plain text and structured responses like JSON with Convex agents. The generation patterns define how your selected language model produces output, allowing you to configure the response format to meet your application needs.

The best way to integrate Convex agents into an existing project is by applying the provided integration patterns. These patterns cover thread handling and generation workflows, offering basic examples and recommended configurations to ensure reliable agent orchestration.

No specific external dependencies are required to deploy Convex agents. The skill provides the necessary setup and configuration scaffolding directly to integrate agents into your project and manage chat-based interactions without additional prerequisites.

You should use Convex agents for managing conversation threads to ensure consistent agent behavior and reliable response generation. The framework provides reusable patterns for thread history management, solving the problem of maintaining chat context during AI interactions.