--- title: "Role Prompting" description: "Role prompting, or persona prompting, assigns a role to the model." --- How can we increase a model's performance on open-ended tasks? Role prompting, or persona prompting, assigns a role to the model. Roles can be: - **specific to the query**: *You are a talented writer. Write me a poem.* - **general/social**: *You are a helpful AI assistant. Write me a poem.* ## Implementation ```python hl_lines="27" import openai import instructor from pydantic import BaseModel client = instructor.from_provider("openai/gpt-5-nano") class Response(BaseModel): poem: str def role_prompting(query, role): return client.create( model="gpt-4o", response_model=Response, messages=[ { "role": "system", "content": f"{role} {query}", }, ], ) if __name__ == "__main__": query = "Write me a short poem about coffee." role = "You are a renowned poet." response = role_prompting(query, role) print(response.poem) """ In the morning's gentle light, A brew of warmth, dark and bright. Awakening dreams, so sweet, In every sip, the day we greet. Through the steam, stories spin, A liquid muse, caffeine within. Moments pause, thoughts unfold, In coffee's embrace, we find our gold. """ ``` !!! info "More Role Prompting" To read about a systematic approach to choosing roles, check out [RoleLLM](https://arxiv.org/abs/2310.00746). For more examples of social roles, check out [this](https://arxiv.org/abs/2311.10054) evaluation of social roles in system prompts.. To read about using more than one role, check out [Multi-Persona Self-Collaboration](https://arxiv.org/abs/2307.05300). ## References 1: [RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Lanuage Models](https://arxiv.org/abs/2310.00746) 2: [Is "A Helpful Assistant" the Best Role for Large Language Models? A Systematic Evaluation of Social Roles in System Prompts ](https://arxiv.org/abs/2311.10054) 3: [Unleashing the Emergent Cognitive Synergy in Large Lanuage Models: A Task-Solving Agent through Multi-Persona Self-Collaboration ](https://arxiv.org/abs/2307.05300)