🧠 LLM Action: get_weather_from_ip

{}

🔧 Tool Response: get_weather_from_ip

"Current: 61.9\u00b0F, High: 65.9\u00b0F, Low: 52.8\u00b0F"

🧠 LLM Action: generate_qr_code

{
  "data": "www.deeplearning.com",
  "filename": "deeplearning_qr",
  "image_path": "dl_logo.jpg"
}

🔧 Tool Response: generate_qr_code

"QR code saved as deeplearning_qr.png containing: www.deeplearning.com..."

🧠 LLM Action: write_txt_file

{
  "file_path": "weather_note.txt",
  "content": "Current Weather:\n\n61.9\u00b0F\nHigh: 65.9\u00b0F\nLow: 52.8\u00b0F"
}

🔧 Tool Response: write_txt_file

"weather_note.txt"

✅ Final Assistant Message:

I’ve generated the QR code (saved as “deeplearning_qr.png”) linking to www.deeplearning.com using your dl_logo.jpg image. I also wrote your weather note (saved as “weather_note.txt”) with the current temperature (61.9°F) and the day’s high (65.9°F) and low (52.8°F). Let me know if there’s anything else you need!

🧭 Tool Sequence:

get_weather_from_ip → generate_qr_code → write_txt_file