Learn AI Agent Architectures – Chaining and Routing

In this hands-on workshop, you’ll learn to design and implement powerful AI agent architectures that support structured decision-making, task automation, and intelligent workflows. Using Langbase’s composable agent tools, you’ll build scalable systems that combine LLMs, tools, memory, and routing—all with minimal boilerplate.

Langbase AI Agent Architectures

Langbase makes it simple to create AI agents that understand input, make smart decisions, and take actions on your behalf. Whether it’s summarizing content, reasoning through multi-step tasks, or routing a request to the right agent, you’ll build it all in this session.

❯ You’ll explore two foundational architectures:
- Prompt Chaining – Break complex tasks into clear, sequential steps with structured LLM calls.
- Agentic Routing – Automatically direct tasks like summarization, reasoning, or coding to specialized agents for optimal results.

❯ What you’ll learn:
- How AI agents interact with LLMs, memory, and tools
- Implementing prompt chains for accuracy and control
- Using routing to classify and delegate tasks to agents
- Building scalable multi-agent workflows
- Deploying with Langbase—no infra required

This workshop is open to everyone—whether you’re a seasoned developer or new to AI engineering. Anyone interested in building with LLMs is welcome to join.

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❯ Docs:
Langbase Agent Architecture – https://langbase.com/agents
Langbase Documentation – https://langbase.com/docs
Langbase SDK – https://langbase.com/docs/sdk
Langbase API Reference – https://langbase.com/docs/api-reference

❯ Follow us on:
https://x.com/LangbaseInc
https://www.linkedin.com/company/langbase

❯ Join us on Discord:
https://langbase.com/discord

Видео Learn AI Agent Architectures – Chaining and Routing канала Langbase