CrewAI / AutoGen YAML Designer
Visually define agents, roles, goals, tools, and tasks — then export a valid, correctly indented YAML config for CrewAI, AutoGen, or your own orchestrator.
Generated YAML Configuration
Professional Insights & Guide
YAML indentation rules, framework mapping, and the failure points that break declarative agent configs.
How the YAML is Structured
YAML builds meaning from two-space indentation and colons, so
the generator assembles every line at the correct nesting
depth. Agents get keys like
role,
goal,
backstory,
tools, and
llm (CrewAI) or
system_message and
llm_config (AutoGen).
Tasks reference an agent by name, which keeps the mapping
explicit. All strings are double-quoted and escaped, so a
colon inside a goal can never silently corrupt the document.
Troubleshooting & Edge-Case Failure Points
- Tasks pointing at an agent name that doesn't exist produce a visible warning before export.
- Tools are entered as a comma-separated list and emitted as a proper YAML sequence with leading dashes.
- Empty goals or roles are flagged so you don't ship a half-configured agent.
- Mixed indentation (spaces + tabs) is the top parser error — output here is always two-space indented.
Detailed Step-by-Step Instructions
- Select your target framework: CrewAI, AutoGen, or a generic custom schema.
- Add agents and fill name, role, goal, backstory, comma-separated tools, and model identifier.
- Add tasks, bind each one to an agent, and describe the expected output.
- Click "Generate YAML", review the indented output, then Copy or Download the .yaml into your project folder.
Informative Guides & Helper Articles
How to Use the CrewAI / AutoGen YAML Designer
Builds agent/team/task definitions visually and generates valid, correctly-indented YAML for your target framework.
- Add agents: role, goal, backstory, tools, LLM settings.
- Define tasks with expected outputs and assignments.
- Export YAML in your framework dialect; validate before committing.
YAML Indentation Is the Bug
Framework configs fail on boring things: indentation (two-space religion - tabs are fatal), unquoted scalars ("no" parses false, "3.5" parses float), multiline prompts needing block scalars (| preserves, > folds), and dialect drift (CrewAI keys are not AutoGen keys). Design advice that beats syntax: one-sentence goals with measurable verbs ("produce a 5-row comparison table") - sprawling goals produce wandering agents - and output contracts live in the task, not the backstory.
CrewAI / AutoGen YAML Designer FAQ
Why is my YAML rejected?
90% of cases: tabs, or unquoted scalars - "no" is boolean false. Quote strings; use block scalars for prompts.
CrewAI vs AutoGen YAML?
Different dialects: CrewAI (agents/tasks/crew, role-goal-backstory) vs AutoGen (agents with type, system_message). Target the right one.
What makes a good agent goal?
One sentence, one measurable verb. Vague goals create agents that wander before the first tool call.