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Was just going back and forth with the agents and this occurred. Had a similar error earlier. NameError: name 'url_content' is not defined Traceback: File "/home/zeus/miniconda3/envs/cloudspace/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 537, in _run_script...

Your single page app or whatever streamlit is doing can be given urls (pages) that will reflect the content in the address bar, allowing us to see what we are...

Hi, are you using something like Autogen Studio to import the workflow file? Can you document where and how to use the output?

Plz don't use dated gpt model pointers like `gpt-4-1106-preview` as those get outdated. (See https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)

Like the title says....create a tool that will select the correct model from the list if provided ;)

If you could put the agents in a agents.yaml file and include a task.yaml file, you'd be legendary

It would be very handy to have the ability to connect to a local LLM server like OLLAMA, to have a truly local solution capable of generating these agents.

Not a major issue. The tool is working perfectly fine but when I saw the videos, I realized that the JSON files are named according to the role where as...

- Fix for file path translation foe Mac, Linux and Windows in db_utils.py - Removed unnecessary AUTOGEN_DB_PATH variable from config.py

Not really an issue: saw this and thought it might help make AutoGroq work more efficiently: https://github.com/stanfordnlp/dspy.