async def revise_article(self, topic: str, initial_draft: Article, panel_review: str) -> Article:  
# the prompt is the same for all writers  
prompt_vars = {  
"prompt_name": "AbstractWriter_revise_article",  
"topic": topic,  
"content_type": self.get_content_type(),  
"additional_instructions": ltm.search_relevant_memories(f"{self.writer.name}, revise {topic}"),  
"initial_draft": initial_draft.to_markdown(),  
"panel_review": panel_review  
}  
prompt = PromptService.render_prompt(**prompt_vars) # this logs prompt  
result: Article = await self.revise_response(prompt)  
await evals.record_ai_response("revised_draft", # you'd use this to filter  
ai_input=prompt_vars, # useful for simulation  
ai_response=result) # this logs response  
return result