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There are now a few examples that can be imported. I suppose they serve as starting points for more than extremely basic stuff. The problem here is still the lack of documentation. The examples are not self-explanatory and are missing a text description. Tutorial-style examples would be great. |
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top right under import |
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Hi @amuhareb, I hope this is getting better with the new version. Don't hesitate to reach out on our discord channel. We'll do our best to help :) |
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hi! As a noobie to AI and especially tools like langchain, this appeals to me deeply. However, there is a severe lack of clarity in that there's no explanation about what's expected of the user nor is there any documentation to speak of. In my attempts(in vain) to integrate tools with the LLM today, I could not figure out at all what the proper method for getting agents to actually deploy tools is. I was fully under the assumption that a python script block would simply run, print the results to the output and passed to the agent along with the prompt. But, beyond being completely in the dark about how to actually set up such a flow(why would a python tool need to connect to a tool? is this not severely redundant? why is there no input for the python object?) I could not for the life of me parse the Langchain documentation on prompts in a way that had meaningful implications for your GUI - do i need to call imports in the GUI? Is the format actually python, or something else? Why would the prompt, which is concurrent separate to the 'tool' object, rely on the user to include an outside source that is concurrent? Would it not make more sense for there to be some sort of 'combiner' object that links those two flows up?
I know you said you're focusing on getting as many modules in as you can, but for the sake of users, I hope you also spend some time on example flows and documentation.
I know this is in it's infancy, and i'm excited to see where it goes, and I hope to contribute in any way I can. I just spent all day playing around with this and I left feeling vastly more confused than when i went in.
Cheers.
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