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Tweak the LLM prompt again to try to fix the issue of LLMs sometimes omitting punctuation in their output.

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This commit is contained in:
Paul Kompfner
2025-11-13 09:56:03 -05:00
parent 1802f949ef
commit 8851d18f92
118 changed files with 121 additions and 120 deletions
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4
examples/foundational/36-user-email-gathering.py
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@@ -109,9 +109,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
{
"role": "system",
# Cartesia <spell></spell>
"content": "You need to gather a valid email or emails from the user. Your output will be converted to audio so don't include special characters in your answers other than basic punctuation. If the user provides one or more email addresses confirm them with the user. Enclose all emails with <spell> tags, for example <spell>a@a.com</spell>.",
"content": "You need to gather a valid email or emails from the user. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. If the user provides one or more email addresses confirm them with the user. Enclose all emails with <spell> tags, for example <spell>a@a.com</spell>.",
# Rime spell()
# "content": "You need to gather a valid email or emails from the user. Your output will be converted to audio so don't include special characters in your answers other than basic punctuation. If the user provides one or more email addresses confirm them with the user. Enclose all emails with spell(), for example spell(a@a.com).",
# "content": "You need to gather a valid email or emails from the user. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. If the user provides one or more email addresses confirm them with the user. Enclose all emails with spell(), for example spell(a@a.com).",
},
]