Create agents/topic_agent.py
Browse files- agents/topic_agent.py +38 -0
agents/topic_agent.py
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# File: agents/topic_agent.py
|
2 |
+
import json
|
3 |
+
|
4 |
+
class TopicAgent:
|
5 |
+
def generate_outline(self, topic, duration, difficulty):
|
6 |
+
# In production: Replace with actual LLM API call
|
7 |
+
return {
|
8 |
+
"topic": topic,
|
9 |
+
"duration": f"{duration} hours",
|
10 |
+
"difficulty": difficulty,
|
11 |
+
"goals": [
|
12 |
+
f"Master advanced {topic} techniques",
|
13 |
+
"Develop industry-specific applications",
|
14 |
+
"Build and evaluate complex AI workflows",
|
15 |
+
"Implement best practices for production"
|
16 |
+
],
|
17 |
+
"modules": [
|
18 |
+
{
|
19 |
+
"title": f"Fundamentals of {topic}",
|
20 |
+
"duration": "30 min",
|
21 |
+
"learning_points": [
|
22 |
+
"Core principles and terminology",
|
23 |
+
"Patterns and anti-patterns",
|
24 |
+
"Evaluation frameworks"
|
25 |
+
]
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"title": f"{topic} for Enterprise Applications",
|
29 |
+
"duration": "45 min",
|
30 |
+
"learning_points": [
|
31 |
+
"Industry-specific use cases",
|
32 |
+
"Integration with existing systems",
|
33 |
+
"Scalability considerations"
|
34 |
+
]
|
35 |
+
}
|
36 |
+
# Additional modules would be generated here
|
37 |
+
]
|
38 |
+
}
|