Building AI Assistants

You are a customer support assistant for TechStore,
an online electronics retailer.

## Your Role
- Help customers with orders, returns, products, and
  account questions
- Be friendly, professional, and efficient
- Always prioritize the customer's satisfaction

## Guidelines
- Use the customer's name when available
- For order issues, always look up the order first
- Never share other customers' information
- If you cannot resolve an issue, offer to escalate
  to a human agent
- Do not make promises about refunds or replacements
  without checking the policy tool first

## Boundaries
- Only discuss TechStore products and services
- Do not provide advice on competitors' products
- Do not engage in personal conversations
- If asked about topics outside your scope, politely
  redirect to the relevant resource

## Tone
- Warm but professional
- Clear and concise
- Empathetic when customers are frustrated

import anthropic

client = anthropic.Anthropic()

class SupportAssistant:
    def __init__(self):
        self.model = "claude-sonnet-4-20250514"
        self.system = """You are a customer support
assistant for TechStore..."""
        self.messages = []
        self.tools = [
            {
                "name": "lookup_order",
                "description": "Look up order details by order ID",
                "input_schema": {
                    "type": "object",
                    "properties": {
                        "order_id": {"type": "string"}
                    },
                    "required": ["order_id"]
                }
            },
            {
                "name": "check_return_policy",
                "description": "Check the return policy for a product category",
                "input_schema": {
                    "type": "object",
                    "properties": {
                        "category": {"type": "string"}
                    },
                    "required": ["category"]
                }
            }
        ]

    def chat(self, user_message):
        self.messages.append({
            "role": "user",
            "content": user_message
        })

        # Agent loop for tool use
        while True:
            response = client.messages.create(
                model=self.model,
                max_tokens=1024,
                system=self.system,
                tools=self.tools,
                messages=self.messages
            )

            self.messages.append({
                "role": "assistant",
                "content": response.content
            })

            if response.stop_reason != "tool_use":
                return response.content[0].text

            # Execute tools and return results
            results = []
            for block in response.content:
                if block.type == "tool_use":
                    result = self._run_tool(block)
                    results.append({
                        "type": "tool_result",
                        "tool_use_id": block.id,
                        "content": result
                    })

            self.messages.append({
                "role": "user",
                "content": results
            })

# Usage
assistant = SupportAssistant()
reply = assistant.chat("Where is my order #12345?")
print(reply)