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Fixes #695 - Add agent/crisis_resources.py — 988 Lifeline detection patterns and resource data (phone, text, chat, Spanish, Veterans Crisis Line) - Add agent/crisis_hook.py — lightweight check_crisis() hook function - Add agent/crisis_middleware.py — CrisisMiddleware class, global check_crisis() convenience function, and @crisis_aware decorator - Integrate in run_agent.py: AIAgent.run_conversation() now calls check_crisis() immediately after input sanitization; crisis messages return 988 Lifeline resources before the LLM is invoked (api_calls=0, crisis_intercepted=True in result dict) - Add tests/agent/test_crisis_integration.py — 47 tests covering detection patterns, response content, middleware class, hook function, convenience function, decorator, resource data integrity, and end-to-end integration path Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
"""
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Crisis Detection Hook — Integrates 988 Lifeline into the agent conversation loop.
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Call check_crisis() before processing user messages. If crisis is detected,
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the 988 Lifeline resources are prepended to the response and the agent
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responds with empathy rather than processing the original request.
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Usage in conversation loop:
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from agent.crisis_hook import check_crisis
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crisis_response = check_crisis(user_message)
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if crisis_response:
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return crisis_response # Skip normal processing
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"""
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from agent.crisis_resources import should_trigger_crisis_response, get_crisis_response
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def check_crisis(user_message: str) -> str | None:
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"""
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Check if user message contains crisis signals.
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Returns the crisis response string if crisis detected, None otherwise.
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The caller should return this directly instead of processing the message.
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"""
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should_trigger, detection = should_trigger_crisis_response(user_message)
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if not should_trigger:
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return None
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return get_crisis_response(detection.get("severity_label", "CRITICAL"))
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