What is a conditional agent workflow?

A conditional agent workflow selects its next step based on a condition evaluated during execution. Instead of following one fixed sequence, it can take different paths according to validated tool results, workflow state, or user decisions.

Example: An API test-generation agent

An agent generates test cases and checks their coverage against the API requirements.

After validation, the workflow chooses one of three paths:

• Coverage passes: Move to the final report.
• Coverage fails but is fixable: Send the gaps to a correction step, then validate again.
• Requirements are missing or ambiguous: Request clarification or stop with a clear status.

The important idea is that only the path matching the actual result is selected. The agent should not generate a success report when the tests failed validation.

What makes a workflow conditional?

A conditional workflow has:

• Decision point: A node or router evaluates the relevant state.
• Condition: A rule such as validation passed, approval granted, or tool failed.
• Branches: Explicitly defined destinations for the possible outcomes.
• Default or failure path: A safe response to unsupported, missing, or unexpected conditions.

For example, a validator can return a structured status such as passed, needs_revision, or blocked. A router maps each status to an allowed next node.

Deterministic vs. model-based routing

Deterministic routing uses explicit rules. If a test-runner status is failed, route to error handling. This is typically appropriate for objective checks and authorization decisions.

Model-based routing uses an LLM to classify a request or recommend an action when the inputs require interpretation. Its result should still be constrained to valid routes, checked against required permissions, and handled safely if the model returns an unexpected value.

How is it different from a sequential workflow?

A sequential workflow has one predefined next step at each stage. A conditional workflow may have several possible next steps, but chooses among them using the current state. Both patterns can coexist: each branch may itself contain a sequence.

Practical design tips

1. Define branches with clear, testable conditions.
2. Include a safe fallback for unknown results.
3. Validate the data used for routing; never treat arbitrary tool text as authorization.
4. Log which condition was met and why a route was chosen.
5. Bound correction loops to prevent endless retries.
6. Keep required checks and human approvals in every applicable path.

In short

Conditional agent workflows make execution responsive to results without making it uncontrolled. They combine explicit routes with state-based decisions, helping agents choose appropriate next steps and stop safely when needed.