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Magnus Hedemark
48a67bb0a1
Greenfield SkillOpt: 3 epochs for CrewAI skill. Role/Goal/Backstory agent model, sequential/hierarchical processes. 11 files: SKILL.md, 6 references, 3 templates, 1 script.
41 lines
817 B
Markdown
41 lines
817 B
Markdown
# CrewAI Callbacks
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## Step Callback
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Called after each agent step:
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```python
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def on_step(agent, task, step_output):
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print(f"[{agent.role}] Step completed: {step_output[:100]}...")
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agent = Agent(
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role="Researcher",
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goal="Find information",
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backstory="Expert researcher",
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step_callback=on_step,
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)
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```
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## Task Callback
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Called after task completion:
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```python
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def on_task_complete(task, output):
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print(f"[{task.agent.role}] Task '{task.description[:50]}...' complete")
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task = Task(
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description="Research the topic",
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expected_output="Research brief",
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agent=researcher,
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callback=on_task_complete,
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)
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```
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## Use Cases
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- Logging agent decisions for debugging
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- Monitoring token usage per agent
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- Sending progress updates to a dashboard
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- Early stopping if output quality drops
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