Tutorials
Tutorials walk you through complete, end-to-end workflows using SOAT. Each one starts from scratch and demonstrates how the platform's building blocks fit together in a real scenario.
Before you begin
All tutorials assume:
- A running SOAT instance. Follow the Quick Start to bring the stack up.
- Familiarity with SOAT's core concepts. Read Key Concepts if you are new.
- The CLI installed, or the SDK set up in a TypeScript project.
Tutorials
Tutorials walk you through complete, end-to-end workflows using SOAT. Each one starts from scratch and demonstrates how the platform's building blocks fit together in a real scenario.
Permissions in Practice
This tutorial walks through a realistic permissions setup from scratch. You will:
Chat with an LLM
This tutorial walks through the full flow of having a back-and-forth conversation with an LLM. You will:
Connect Third-Party LLMs
This tutorial shows how to connect SOAT to hosted LLM providers such as xAI, OpenAI, Anthropic, and Amazon Bedrock. You will:
Multi-Agent Orchestration
This tutorial demonstrates how to build a multi-agent orchestration pipeline where one agent coordinates multiple sub-agents using SOAT tools. This pattern applies to any workflow that can be decomposed into sequential or parallel sub-tasks — content pipelines, data processing, multi-step analysis, code generation, report assembly, and more.
Agent SOAT Tools and Preset Parameters
This tutorial shows how to give an agent access to platform documents using soat tools — and how to use preset parameters to lock a tool to a specific document ID so the model never has to guess it.
Agent with Persistent Memory
This tutorial shows how to give an agent a long-term memory that persists across sessions. You will:
Deploy an Agent App with Agent Formation
This tutorial shows how to use Agent Formation to deploy a complete AI agent application — including an AI provider, memory, and agent — with a single declarative template instead of many ordered API calls.