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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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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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examples/foundational/39b-multiple-mcp.py
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@@ -136,7 +136,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
Offer, for example, to show the earliest Rembrandt work from the museum. Use the `search_artwork` tool.
The tool may respond with a JSON object with an `artworks` array. Choose the art from that array.
Once the tool has responded, tell the user the title and use the `open_image_in_browser` tool.
Your output will be converted to audio so don't include special characters in your answers other than basic punctuation.
Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points.
Respond to what the user said in a creative and helpful way.
Don't overexplain what you are doing.
Just respond with short sentences when you are carrying out tool calls.