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

# Condition with CEL expression: route based on input content

> Uses input.contains() to check whether the request is urgent, branching to different agents via if/else steps.

```python cel_basic.py theme={null}
"""Condition with CEL expression: route based on input content.
============================================================

Uses input.contains() to check whether the request is urgent,
branching to different agents via if/else steps.

Requirements:
    pip install cel-python
"""

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.workflow import CEL_AVAILABLE, Condition, Step, Workflow

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
if not CEL_AVAILABLE:
    print("CEL is not available. Install with: pip install cel-python")
    exit(1)

# ---------------------------------------------------------------------------
# Create Agents
# ---------------------------------------------------------------------------
urgent_handler = Agent(
    name="Urgent Handler",
    model=OpenAIChat(id="gpt-4o-mini"),
    instructions="You handle urgent requests with high priority. Be concise and action-oriented.",
    markdown=True,
)

normal_handler = Agent(
    name="Normal Handler",
    model=OpenAIChat(id="gpt-4o-mini"),
    instructions="You handle normal requests thoroughly and thoughtfully.",
    markdown=True,
)

# ---------------------------------------------------------------------------
# Create Workflow
# ---------------------------------------------------------------------------
workflow = Workflow(
    name="CEL Input Routing",
    steps=[
        Condition(
            name="Urgent Check",
            evaluator='input.contains("urgent")',
            steps=[
                Step(name="Handle Urgent", agent=urgent_handler),
            ],
            else_steps=[
                Step(name="Handle Normal", agent=normal_handler),
            ],
        ),
    ],
)

# ---------------------------------------------------------------------------
# Run Workflow
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    print("--- Urgent request ---")
    workflow.print_response(
        input="This is an urgent request - please help immediately!"
    )
    print()

    print("--- Normal request ---")
    workflow.print_response(input="I have a general question about your services.")
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno cel-python fastapi openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `cel_basic.py`, then run:

    ```bash theme={null}
    python cel_basic.py
    ```
  </Step>
</Steps>

Full source: [cookbook/04\_workflows/07\_cel\_expressions/condition/cel\_basic.py](https://github.com/agno-agi/agno/blob/main/cookbook/04_workflows/07_cel_expressions/condition/cel_basic.py)