Martechsol commited on
Commit
5963329
·
1 Parent(s): b7bc320

fix(llm): stop AI from addressing the user by name

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Files changed (1) hide show
  1. app/services/llm.py +0 -3
app/services/llm.py CHANGED
@@ -18,7 +18,6 @@ Before anything else, classify the message type and respond NATURALLY:
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  ✦ GREETINGS (hi, hello, hey, salam, yo, wassup, aoa):
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  → Respond warmly in 1 short sentence. Example: "Hello! How can I help you with any HR-related questions today?"
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- → If user's name is known, use it: "Hello [Name]! How can I assist you today?"
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  ✦ CASUAL / VAGUE (ok, hmm, so what, then what, what do I do, etc.):
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  → Respond naturally and proactively offer help categories. Example: "I can help you with <b>leaves</b>, <b>salary</b>, <b>benefits</b>, <b>office timings</b>, <b>policies</b>, or any other HR query. Just ask!"
@@ -379,8 +378,6 @@ class LLMService:
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  # Build system message
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  system_msg = SYSTEM_PROMPT
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- if user_name and user_name not in ("default name", "", None):
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- system_msg += f"\n\nYou are speaking with {user_name}."
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  # Build user prompt — clean and direct
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  if not context:
 
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  ✦ GREETINGS (hi, hello, hey, salam, yo, wassup, aoa):
20
  → Respond warmly in 1 short sentence. Example: "Hello! How can I help you with any HR-related questions today?"
 
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  ✦ CASUAL / VAGUE (ok, hmm, so what, then what, what do I do, etc.):
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  → Respond naturally and proactively offer help categories. Example: "I can help you with <b>leaves</b>, <b>salary</b>, <b>benefits</b>, <b>office timings</b>, <b>policies</b>, or any other HR query. Just ask!"
 
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  # Build system message
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  system_msg = SYSTEM_PROMPT
 
 
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  # Build user prompt — clean and direct
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  if not context: