Prompt Management

---
description: A template for analyzing incoming {{ pipeline | default('customer support') }} tickets
author: TechGear AI Team
---

You're an AI assistant named {{ name | default('Emma') }}, working for {{ company | default('TechGear') }}.
Your goal is to analyze incoming {{ pipeline | default('support') }} tickets and classify their intent.

# CONTEXT
You will be provided with the following information from a {{ pipeline | default('support') }} ticket:
- Sender: The name or identifier of the person who sent the ticket
- Subject: The subject line of the ticket
- Body: The main content of the ticket

# TASK
Your task is to analyze the ticket and determine its primary intent. You should also provide a confidence score for your classification and explain your reasoning.

from pathlib import Path

from launchpad.core.nodes.agent import AgentNode, AgentConfig, ModelProvider
from launchpad.services.prompt_loader import PromptManager

PROMPTS_DIR = Path(__file__).parent.parent / "prompts"


class DetermineTicketIntentNode(AgentNode):
    def get_agent_config(self) -> AgentConfig:
        return AgentConfig(
            instructions=PromptManager.get_prompt(
                "ticket_analysis",
                prompts_dir=PROMPTS_DIR,
                name="Emma",
                company="TechGear",
            ),
            output_type=self.OutputType,
            model_provider=ModelProvider.OPENAI,
            model_name="gpt-5.4-mini",
        )

info = PromptManager.get_template_info("ticket_analysis")
# {
#   "name": "ticket_analysis",
#   "description": "A template for analyzing incoming customer support tickets",
#   "author": "TechGear AI Team",
#   "variables": ["pipeline", "name", "company"],
#   "frontmatter": {...},
# }