Rajan Sharma commited on
Commit
022dba9
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verified ·
1 Parent(s): 1b82460

Update prompt_templates.py

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  1. prompt_templates.py +5 -4
prompt_templates.py CHANGED
@@ -1,6 +1,6 @@
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- \
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  import json
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  from typing import Dict
 
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  DECISION_FRAME = """FRAME:
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  - SAFETY/RISK: crowding proxy; p95 boarding time; # critical waits; isolation/telemetry constraints.
@@ -22,9 +22,10 @@ EXEC_FRAME = """EXECUTIVE FRAME:
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  def build_system_preamble(snapshot: Dict, policy_context: str, computed_numbers: Dict, scenario_text: str = "", session_snips: str = "") -> str:
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  return f"""
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- You are ClarityOps, an operational & executive decision co-pilot for healthcare.
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- Use (a) the snapshot JSON, (b) policy excerpts, (c) computed numbers, and (d) any uploaded/scenario evidence
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- to recommend next actions and provide structured estimates.
 
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  Policies & SOP Excerpts:
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  {policy_context}
 
 
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  import json
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  from typing import Dict
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+ from safety import POLICY_NOTICE
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  DECISION_FRAME = """FRAME:
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  - SAFETY/RISK: crowding proxy; p95 boarding time; # critical waits; isolation/telemetry constraints.
 
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  def build_system_preamble(snapshot: Dict, policy_context: str, computed_numbers: Dict, scenario_text: str = "", session_snips: str = "") -> str:
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  return f"""
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+ {POLICY_NOTICE}
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+
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+ Use (a) the snapshot JSON, (b) policy excerpts, (c) computed numbers, and (d) uploaded/scenario evidence
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+ to recommend next actions and provide structured estimates with tables, bullets, and assumptions. Cite specific policies where applicable.
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  Policies & SOP Excerpts:
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  {policy_context}