Prompt Chaining
Pipelining LLM calls where each step's output feeds the next.
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Prompt Chaining is the practice of decomposing a complex task into a sequence of smaller LLM calls, each handling one transformation, to increase reliability and debuggability. Pipelining LLM calls where each step's output feeds the next.
What is Prompt Chaining?
Prompt Chaining is the practice of decomposing a complex task into a sequence of smaller LLM calls, each handling one transformation, to increase reliability and debuggability.
What is an example of Prompt Chaining?
Step 1 extracts entities, step 2 classifies them, step 3 writes a summary referencing each classification.
Why does Prompt Chaining matter for AI and automation?
Pipelining LLM calls where each step's output feeds the next. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.
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Related concepts
The vocabulary this page depends on.
- →LangGraph Framework
LangGraph is a Python library built on LangChain that enables building stateful, multi-actor applications with LLMs by modeling agentic workflows as graphs. It allows for defining complex agent behaviors, including loops and conditional logic, crucial for advanced AI agent orchestration.
- →Few-Shot Prompting
Showing the model 2–5 examples of the task inside the prompt so it mirrors the pattern.
- →System Prompt
A high-priority instruction that sets the model's role, tone and constraints for the whole conversation.
- →Prompt Template
A reusable prompt with named variables filled at runtime.
Related workflows
Turn this into a repeatable process.
- →Automated Competitor Research
From a product description to a structured competitor matrix in under 10 minutes.
- →AI Content Factory: One Topic to Ten Assets
Convert a single topic into a full multi-channel content drop.
- →YouTube Script Automation Pipeline
Turn a video idea into a structured, hook-driven script.
- →Prompt Library Operations
Version, evaluate, and reuse prompts as operational assets rather than loose text snippets.
Related prompts
Reusable prompts for this job.
- →Competitor Discovery Prompt
Surface and structure direct competitors for a given product.
- →YouTube Script Prompt (Retention-Optimized)
Generate a hook-driven script tied to retention beats.
- →Prompt Improver Prompt
Iterate a weak prompt into a strong one using best practices.
- →JSON Extractor Prompt
Extract structured JSON from any unstructured text.