Loop with CEL end condition: stop after N iterations
Use current_iteration to stop a loop early, within its max_iterations cap.
"""Loop with CEL end condition: stop after N iterations.
=====================================================
Uses current_iteration to stop after a specific number
of iterations, independent of max_iterations.
Requirements:
pip install cel-python
"""
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.workflow import CEL_AVAILABLE, Loop, Step, Workflow
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
if not CEL_AVAILABLE:
print("CEL is not available. Install with: pip install cel-python")
exit(1)
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
writer = Agent(
name="Writer",
model=OpenAIChat(id="gpt-5.6-luna"),
instructions="Write a short paragraph expanding on the topic. Build on previous content.",
markdown=True,
)
# ---------------------------------------------------------------------------
# Create Workflow
# ---------------------------------------------------------------------------
workflow = Workflow(
name="CEL Iteration Limit Loop",
steps=[
Loop(
name="Writing Loop",
max_iterations=10,
# Stop after 2 iterations even though max is 10
end_condition="current_iteration >= 2",
steps=[
Step(name="Write", agent=writer),
],
),
],
)
# ---------------------------------------------------------------------------
# Run Workflow
# ---------------------------------------------------------------------------
if __name__ == "__main__":
print("Loop with CEL end condition: current_iteration >= 2 (max_iterations=10)")
print("=" * 60)
workflow.print_response(
input="Write about the history of the internet",
stream=True,
)Forward results for iterative refinement
The source leaves forward_iteration_output=False, so each iteration starts with the same input and prior-step snapshot. These are repeated independent attempts. To build on each iteration’s result, add forward_iteration_output=True to the relevant Loop(...) constructor in your saved copy.
An end condition can stop the loop early. max_iterations remains the upper bound, even when the condition never becomes true.
Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno cel-python fastapi openaiExport your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"Run the example
Save the code above as cel_iteration_limit.py, then run:
python cel_iteration_limit.pyFull source: cookbook/04_workflows/07_cel_expressions/loop/cel_iteration_limit.py