> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-update-deprecated-models.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Conditional Workflow

> Deterministic branching based on input analysis or business rules

**Example Use-Cases**: Content type routing, topic-specific processing, quality-based decisions

Conditional workflows provide predictable branching logic while maintaining deterministic execution paths.

<img className="block dark:hidden" src="https://mintcdn.com/agno-v2-update-deprecated-models/SLsj9RLMZmnApIh7/images/workflows-condition-steps-light.png?fit=max&auto=format&n=SLsj9RLMZmnApIh7&q=85&s=1cca37e146309e37f36517c0631e0d0a" alt="Workflows condition steps diagram" width="2952" height="756" data-path="images/workflows-condition-steps-light.png" />

<img className="hidden dark:block" src="https://mintcdn.com/agno-v2-update-deprecated-models/SLsj9RLMZmnApIh7/images/workflows-condition-steps.png?fit=max&auto=format&n=SLsj9RLMZmnApIh7&q=85&s=e047e405563221572e120d86453011c4" alt="Workflows condition steps diagram" width="2952" height="756" data-path="images/workflows-condition-steps.png" />

## How It Works

The `Condition` class evaluates a function and executes different steps based on the result:

* **If branch (`steps`)**: Executes when the evaluator returns `True`
* **Else branch (`else_steps`)**: Executes when the evaluator returns `False` (optional)

If the condition is `False` and no `else_steps` are provided, the condition is skipped and the workflow continues to the next step.

## Basic Example

```python conditional_workflow.py theme={null}
from agno.workflow import Condition, Step, Workflow

def is_tech_topic(step_input) -> bool:
    topic = step_input.input.lower()
    return any(keyword in topic for keyword in ["ai", "tech", "software"])

workflow = Workflow(
    name="Conditional Research",
    steps=[
        Condition(
            name="Tech Topic Check",
            evaluator=is_tech_topic,
            steps=[Step(name="Tech Research", agent=tech_researcher)]
        ),
        Step(name="General Analysis", agent=general_analyst),
    ]
)

workflow.print_response("Comprehensive analysis of AI and machine learning trends", markdown=True)
```

## If/Else Branching

Use `else_steps` to define an alternative execution path when the condition is `False`:

```python condition_with_else.py theme={null}
from agno.workflow import Condition, Step, Workflow

def is_technical_issue(step_input) -> bool:
    text = (step_input.input or "").lower()
    tech_keywords = ["error", "bug", "crash", "not working", "api", "timeout"]
    return any(kw in text for kw in tech_keywords)

workflow = Workflow(
    name="Customer Support Router",
    steps=[
        Condition(
            name="TechnicalTriage",
            evaluator=is_technical_issue,
            # If branch: technical pipeline
            steps=[
                Step(name="Diagnose", agent=diagnostic_agent),
                Step(name="Engineer", agent=engineering_agent),
            ],
            # Else branch: general support
            else_steps=[
                Step(name="GeneralSupport", agent=general_support_agent),
            ],
        ),
        Step(name="FollowUp", agent=followup_agent),
    ],
)

# Technical query -> executes Diagnose, Engineer, then FollowUp
workflow.print_response("My app keeps crashing with a timeout error")

# Non-technical query -> executes GeneralSupport, then FollowUp
workflow.print_response("How do I change my shipping address?")
```

## Developer Resources

* [Condition Steps Workflow](/workflows/usage/condition-steps-workflow-stream)
* [Condition with List of Steps](/workflows/usage/condition-with-list-of-steps)

## Reference

For complete API documentation, see [Condition Steps Reference](/reference/workflows/conditional-steps).