Orchestration · Software component
Prompt Chain Orchestrator
Software componentOrchestrationOrchestration & Toolsarc:PromptChainOrchestrator
A workflow orchestrator that executes a fixed linear sequence of LLM calls in which each call's output becomes the next call's input.
Responsibility. Passes each stage's LLM output as input to the next stage in a predefined sequence.
Also known as: Prompt chain, Sequential LLM pipeline, Simple function composition, Prompt chaining
Variant of Workflow Orchestrator abstract
When to choose. Choose when a task decomposes into a fixed sequence of processing stages, each needing a different prompting strategy, with intermediate outputs inspected between stages; for simple linear workflows without branching, simple function composition suffices.
Relationships
invokes dependency
orchestrates control
alternative to variability
Design guidance
- SHOULD validate intermediate outputs at each stage and short-circuit when they show the final answer is unachievable.
- SHOULD add programmatic checks at intermediate steps to verify format, completeness, and business rules before proceeding.
Classification
- Patterns
- Prompt chainingChain-of-thought decomposition
- Quality attributes
- Transparency and accountability (NIST AI RMF: accountable and transparent)Maintainability (ISO/IEC 25010)
- Risks mitigated
- Hidden intermediate reasoning in monolithic prompts
Sources
- Ch1.5A: T. Nguyen, "Stateful Orchestration - Introduction and Core Concepts," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.5A. ISBN: 9798244538229.
- Ch1.5B: T. Nguyen, "Stateful Orchestration - Worked Examples," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.5B. ISBN: 9798244538229.
- Ch2.6: T. Nguyen, "Tool Integration and Function Calling," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 2.6. ISBN: 9798244538229.