Tutorials Prompt Engineering Tutorial
ReAct Prompting — Complete Guide
ReAct Prompting — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.
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Prompt Engineering Tutorial · Lesson 24 of 100
ReAct Prompting
Prompts → Apps
Prompts · 1 — Basics · ~6 min · Module 3: Advanced Prompt Engineering
What is this?
ReAct interleaves Reasoning and Acting: the model thinks, calls a tool, reads the result, thinks again — until it can answer.
Why should you care?
PromptVerse Dev Copilot uses ReAct loops to search internal docs before generating integration code.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
Thought: Need Orders API path for create order.
Action: search_internal_docs("create order REST")
Observation: POST /v2/orders documented in orders.md
Thought: I have endpoint and required fields.
Answer: Use POST /v2/orders with body { customerId, items }
What happened?
- Thought steps plan; Action invokes search; Observation grounds the next Thought.
- Final Answer cites real doc findings.
Practice next
- Simulate one Thought/Action/Observation cycle on paper.
- Use a real search tool in API if available.
- Stop after max 3 actions.
- Add Action: read_openapi_schema("orders").
- Refuse Action not on allow-list.
Remember
Alternate think and tool use. Cap iterations. Log each action.
Doc-grounded code
Dev asks for webhook signature verify snippet.
Outcome: ReAct finds current HMAC doc — no deprecated v1 endpoint.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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