--- title: "Few-Shot Examples" description: "Guide agent responses using few-shot prompting." icon: "clone" --- **Few-shot prompting** is a powerful technique where you provide a small number of sample interactions (typically 2 to 5) to guide your agent's behavior. This method helps the agent understand the desired output format and task requirements by learning from the given examples, thereby improving performance without writing extensive instructions. ## Crafting Effective Examples - **Provide Task Demonstrations**: Use examples that clearly illustrate the tasks that your agents will perform. - **Use Realistic Scenarios**: Include interactions that mirror actual conversations that your agent will handle. - **Use Preferred Tone and Style**: Ensure the agent's replies in your examples match your desired brand voice. ## Defining Few-Shot Examples In **Agency Swarm**, few-shot examples are earlier messages that show the style you want. Put them in `instructions` as plain text or pass them as message history to `get_response` / `get_response_stream`. Optional fields like `attachments` and `metadata` can be included in message history but are not required for basic examples. ## Using Few-Shot Examples Pick one of these ways: ```python from agency_swarm import Agency, Agent support_agent = Agent( name="CustomerSupportAgent", instructions="You assist customers with troubleshooting.", ) agency = Agency(support_agent) examples = [ {"role": "user", "content": "My device won't turn on."}, {"role": "assistant", "content": "Please hold the power button for 10 seconds to restart the device."}, ] new_message = {"role": "user", "content": "It still won't start."} response = await agency.get_response(examples + [new_message]) ``` ```python from agency_swarm import Agent instructions = """ You assist customers with troubleshooting. Example: User: My device won't turn on. Assistant: Please hold the power button for 10 seconds to restart the device. """ agent = Agent( name="CustomerSupportAgent", instructions=instructions, ) ``` Message history is more scalable. Instructions are best for short examples. See more advanced features in [Agent Class](/core-framework/agents/advanced-configuration)