QA Agent Workflow Graph or Simple Loop
Choose a linear agent loop or persistent workflow graph by evaluating branching, resumability, approvals, state, retries, idempotency, and termination needs.
Editorial owner: ContextQA Documentation · Last updated: September 12, 2026
Quick answer
Start with a bounded sequence or simple tool-calling loop. Use a workflow graph only when the QA task must preserve state across a long pause or failure, branch into materially different investigations, coordinate explicit human approvals, or resume safely without repeating side effects.
Do not confuse two kinds of graph
A workflow graph controls execution states and transitions.
A knowledge or dependency graph represents relationships among requirements, code, services, tests, and evidence.
A dependency graph can inform a workflow decision, but it does not execute the workflow.
Simple loop baseline
Use this for one non-production task with a small tool set, short duration, no external approval pause, and safe retries. Define maximum actions, elapsed time, reruns, mutations, and spend before starting.
When a graph earns its complexity
Durable pause/resume
State must survive a human review or process failure
Branching investigation
Product, test, data, and environment failures follow different paths
Human checkpoint
A person must approve test changes, healing, defects, or release actions
Compensating action
Partial setup must be cleaned up after failure
Parallel evidence
Independent artifacts must be gathered then reconciled
Auditable state
Reviewers need the exact transition and decision history
LangGraph’s current documentation describes durable execution, persistence, and human-in-the-loop as core orchestration capabilities. Those features are useful only when the workflow actually needs them.
Design the state before code
Every external mutation needs a duplicate-prevention or reconciliation rule. Replaying “create defect” or “run full regression” after resume can cause real cost and confusion.
Example: failure investigation graph
Acceptance-test the orchestration
Test normal completion, each branch, duplicate delivery, pause/resume, timeout, revoked permission, unavailable tool, partial mutation, reviewer rejection, and stop-limit exhaustion. Confirm every path ends in pass, fail, unknown, cancelled, or handed off—never an unbounded “still working” state.
Choose deliberately
Use the simple loop when its evidence and recovery are sufficient. Adopt a graph only if the acceptance tests show that persistence, branching, or human checkpoints materially improve safety or completion.
Frequently asked questions
Does every multi-agent QA workflow need a graph?
No. Multiple tools or agents can still operate within a bounded sequence. Use a graph when durable state, materially different branches, resumable approvals, compensating actions, or safe recovery cannot be represented clearly by a simpler loop.
How do we know when the graph is too complex?
It is too complex when owners cannot explain the states, transitions, evidence, retry limits, or terminal outcomes. Remove states that do not change authority, recovery, output, or review behavior.
Which failure should we test first?
Test duplicate delivery or resume after a partial external action. It quickly reveals whether the workflow has an idempotency key, reconciliation step, and explicit terminal status instead of repeating a costly or destructive operation.
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