crewAIInc/crewAI · error · Exception
An error occurred while running the flow with trigger: {e}
Error message
An error occurred while running the flow with trigger: {e} What it means
Catch-all wrapper in the flow template's run_with_trigger(). After payload validation, content_flow.kickoff({'crewai_trigger_payload': payload}) executes; any exception in the flow's start listener, crew steps, or state handling is re-raised as a generic Exception with 'An error occurred while running the flow with trigger: {e}'.
Source
Thrown at lib/cli/src/crewai_cli/templates/flow/main.py:85
"""
import json
import sys
if len(sys.argv) < 2:
raise Exception("No trigger payload provided. Please provide JSON payload as argument.")
try:
trigger_payload = json.loads(sys.argv[1])
except json.JSONDecodeError:
raise Exception("Invalid JSON payload provided as argument")
content_flow = ContentFlow()
try:
result = content_flow.kickoff({"crewai_trigger_payload": trigger_payload})
return result
except Exception as e:
raise Exception(f"An error occurred while running the flow with trigger: {e}")
if __name__ == "__main__":
kickoff()
View on GitHub (pinned to 754d7323be)
Solutions
- Inspect the inner exception after the colon for the real error (KeyError on payload fields, auth failures).
- Reproduce locally with the exact payload: `uv run run_with_trigger '<payload>'`.
- Make the start step defensive: read trigger fields via .get() with defaults instead of direct dict access.
- Ensure API keys/env are configured where the flow runs.
Example fix
# before
except Exception as e:
raise Exception(f"An error occurred while running the flow with trigger: {e}")
# after
except Exception:
import traceback
traceback.print_exc()
raise Defensive patterns
Strategy: try-catch
Validate before calling
import os
assert os.getenv("OPENAI_API_KEY"), "API key missing for flow kickoff" Type guard
def payload_has(payload: dict, key: str) -> bool:
return isinstance(payload, dict) and key in payload Try / catch
try:
result = content_flow.kickoff({"crewai_trigger_payload": payload})
except Exception:
logging.exception("flow trigger kickoff failed")
raise Prevention
- Read trigger fields via .get() with defaults in start steps
- Re-run with traceback printing in local main.py when debugging
- Keep env vars configured identically in deploy and local environments
When it happens
Trigger: Valid JSON payload but the flow fails during kickoff: a start step expecting fields missing from the payload, LLM auth errors, or an exception in downstream flow steps.
Common situations: Flow works in normal kickoff but the trigger payload shape differs from what start() reads from state; deployment environment missing API keys; schema drift between the trigger source and flow expectations.
Related errors
- An error occurred while running the crew with trigger: {e}
- No trigger payload provided. Please provide JSON payload as
- Invalid JSON payload provided as argument
- An error occurred while running the crew: {e}
- No trigger payload provided. Please provide JSON payload as
AI-assisted analysis of crewAIInc/crewAI@754d7323be (2026-08-15).
Data as JSON: /api/errors/c47480205b4bc44a.
Report an issue: GitHub.