1050df780d
- Intent classification with LLM structured output (single/multi/ambiguous) - Discount agent with apply_discount and generate_coupon tools - Interrupt manager with 30-min TTL auto-expiration and retry prompts - Webhook escalation module with exponential backoff retry (max 3) - Three vertical industry templates (e-commerce, SaaS, fintech) - Template loading in AgentRegistry - Enhanced supervisor prompt with dynamic agent descriptions - 153 tests passing, 90.18% coverage
20 lines
718 B
Python
20 lines
718 B
Python
"""Fallback agent tools -- handles unmatched intents and clarification requests."""
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from __future__ import annotations
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from langchain_core.tools import tool
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@tool
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def fallback_respond(query: str) -> str:
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"""Provide a helpful response when the user's intent doesn't match a specific agent."""
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return (
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"I'm here to help with order inquiries and actions. "
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"Here's what I can do:\n"
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"- Check order status (e.g., 'What is the status of order 1042?')\n"
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"- Get tracking information (e.g., 'Track order 1042')\n"
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"- Cancel an order (e.g., 'Cancel order 1042')\n"
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"- Apply discounts or generate coupons\n\n"
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"Could you please rephrase your request?"
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)
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