# File: agents/topic_agent.py | |
import json | |
class TopicAgent: | |
def generate_outline(self, topic, duration, difficulty): | |
# In production: Replace with actual LLM API call | |
return { | |
"topic": topic, | |
"duration": f"{duration} hours", | |
"difficulty": difficulty, | |
"goals": [ | |
f"Master advanced {topic} techniques", | |
"Develop industry-specific applications", | |
"Build and evaluate complex AI workflows", | |
"Implement best practices for production" | |
], | |
"modules": [ | |
{ | |
"title": f"Fundamentals of {topic}", | |
"duration": "30 min", | |
"learning_points": [ | |
"Core principles and terminology", | |
"Patterns and anti-patterns", | |
"Evaluation frameworks" | |
] | |
}, | |
{ | |
"title": f"{topic} for Enterprise Applications", | |
"duration": "45 min", | |
"learning_points": [ | |
"Industry-specific use cases", | |
"Integration with existing systems", | |
"Scalability considerations" | |
] | |
} | |
# Additional modules would be generated here | |
] | |
} |