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chore: import upstream snapshot with attribution
2026-07-13 13:24:08 +08:00

46 lines
1.4 KiB
Python

import json
import sys
def prompt_with_config(context):
"""
A Python prompt function that returns both prompt content and configuration.
"""
vars = context["vars"]
provider = context.get("provider", {})
# Dynamic configuration based on the topic
if vars["topic"] == "the Roman Empire" or vars["topic"] == "bob dylan":
# Complex topics need more elaboration
temperature = 0.8
max_tokens = 200
else:
# Simple topics can be more constrained
temperature = 0.4
max_tokens = 100
# Return structured object with both prompt and config
return {
"prompt": [
{
"role": "system",
"content": f"You are a Python expert assistant using {provider.get('id', 'an AI')} model. Be technical and precise.",
},
{
"role": "user",
"content": f"Explain {vars['topic']} as if it were a Python library. What would its main classes and methods be?",
},
],
"config": {
"temperature": temperature,
"max_tokens": max_tokens,
"presence_penalty": 0.1,
"frequency_penalty": 0.3,
},
}
if __name__ == "__main__":
# When executed directly, run the prompt_with_config function
print(json.dumps(prompt_with_config(json.loads(sys.argv[1]))))