Can workflows span multiple conversations?

Yes. State variables persist across sessions, so a user can leave and return later to continue the workflow from where they left off. Configure a session timeout if you want state to reset after a period of inactivity.

How do I handle users who go off-script?

Add a catch-all condition in your branching logic that detects off-topic messages. The agent can acknowledge the user's message, note it in the state, and gently guide them back to the current step in the workflow.

Can I visualize the workflow after building it?

Yes. The RunTheAgent dashboard includes a workflow visualizer that renders your branching logic as a flowchart. Use it to verify the structure matches your original design and to identify any dead-end paths.

Advanced

Workflow Branching: Conditional Logic

Build dynamic conversation workflows that branch based on user input, agent state, and external conditions.

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What You Will Get

By the end of this guide, your OpenClaw agent will handle branching workflows where the conversation path changes based on user input, stored context, or external data. Instead of a linear conversation, your agent will navigate complex decision trees automatically.

Workflow branching is essential for structured interactions like onboarding flows, troubleshooting guides, and order processing. Each user response determines the next step, and the agent adapts its behavior accordingly. This creates a guided experience without feeling rigid.

You will define branch conditions, configure state management, set up loops and exits, and test the full workflow. The result is a flexible conversation engine that handles varied user journeys while keeping every interaction on track.

Step-by-Step Setup

Follow these steps to implement workflow branching.

Map Your Workflow on Paper

Before touching any configuration, sketch the entire workflow on paper or a whiteboard. Identify the entry point, decision nodes, branch paths, and exit conditions. Label each branch with the condition that triggers it. This visual map becomes your blueprint for the agent configuration.

Define State Variables

List the variables your workflow needs to track, such as user_role, issue_type, or step_number. Configure these as state variables in your agent's memory settings. The agent reads and writes these variables during the conversation to determine which branch to follow.

Write Branch Conditions in the Prompt

In the system prompt, describe the conditions for each branch. For example, 'If the user reports a billing issue, follow the billing resolution path. If the user reports a technical issue, follow the technical support path.' Use clear, unambiguous language so the agent routes consistently.

Create Step Templates

For each step in the workflow, write a template that the agent follows. Templates include the message to send, the information to collect, and the next step to transition to. Store templates as structured entries in the agent's knowledge base so they can be retrieved by step name.

Implement Loop and Exit Logic

Some workflows require loops, like retrying a validation step until the user provides valid input. Define the maximum number of retries and the exit condition. Also define a global exit condition that lets the user break out of the workflow at any time by saying something like 'cancel' or 'start over'.

Add Fallback Handling

Configure what happens when the agent cannot determine which branch to follow. The fallback might ask the user a clarifying question, default to the most common path, or escalate to a human. Never let the agent get stuck at an unresolved decision point.

Test Every Branch Path

Walk through every possible path in the workflow manually. Send messages that trigger each branch, loop, and exit condition. Verify that state variables update correctly and that the agent transitions to the right step every time. Document any unexpected behavior and fix it in the prompt or configuration.

Tips and Best Practices

Keep Branches Shallow

Deeply nested branches are hard to maintain and debug. If a workflow goes more than four levels deep, consider splitting it into separate sub-workflows connected by the orchestration layer.

Use State Variables Sparingly

Track only the information the workflow needs to make decisions. Excessive state variables clutter the context and increase the chance of the agent misreading a condition.

Provide Progress Indicators

Let users know where they are in the workflow. Messages like 'Step 2 of 5' or 'Almost done, one more question' reduce frustration and prevent users from abandoning multi-step flows.

Log Branch Decisions

Enable logging for every branch decision the agent makes. This lets you audit the workflow, identify commonly taken paths, and optimize underperforming branches based on real usage data.

Frequently Asked Questions

Multi-Agent Orchestration Sub-Agent Spawning Advanced Prompt Engineering

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