Tutorials

This section contains tutorials that showcase relevant use cases and provide step-by-step instructions on how to implement various features using Flyte and Union.

Multi-agent trading simulation

A multi-agent trading simulation, modeling how agents within a firm might interact, strategize, and make trades collaboratively.

Run LLM-generated code

Securely execute and iterate on LLM-generated code using a code agent with error reflection and retry logic.

Deep research

Build an agentic workflow for deep research with multi-step reasoning and evaluation.

Hyperparameter optimization

Run large-scale HPO experiments with zero manual tracking, deterministic results, and automatic recovery.

Automatic prompt engineering

Easily run prompt optimization with real-time observability, traceability, and automatic recovery.

Text-to-SQL

Learn how to turn natural language questions into SQL queries with Flyte and LlamaIndex, and explore prompt optimization in practice.