Closed Sallery-X closed 9 months ago
@niklaspm "If there are any templates missing to meet your requirements feel free to contribute new examples: https://github.com/logspace-ai/langflow_examples."
This guy over here trying to create chickens before eggs.
I also think there is too little related data. It's been over 2 months since I started coding, and I feel like I'm praying every time I code and run it.
As a result of understanding the detailed source, Langflow is a very well-structured project, but it is a big loss that new developers cannot easily understand the advantages of Flow.
It is said that contributing custom flows is for personal safety, but the reason seems to be that chains cannot be easily shared with each other. I think an evaluation system for uncertified flows should be quickly introduced to the flow community. In fact, the AUTOGPT team, which has similar categories, is strengthening the inflow by holding internal competitions.
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
@niklaspm
I'm going to let ChatGPT explain the problem with your response.
USER (ME): Can you write an explanation about the problem with the answer given? Q: There are too few examples. Are there any examples of calling third-party APIs? A: If there are any templates missing to meet your requirements feel free to contribute new examples: https://github.com/logspace-ai/langflow_examples.
ChatGPT: Certainly! Let's break down the problem with the answer provided:
Issues with the Answer:
Non-Responsive: The user specifically asked if there are examples of calling third-party APIs. The answer does not directly address this query. Instead, it redirects the user to contribute to the repository.
Assumption: The answer assumes that the user is familiar with the code and knows how to contribute. This might not be the case for all users.
Lack of Clarity: The answer does not provide clarity on whether the repository contains examples of calling third-party APIs or not. It leaves the user in a state of uncertainty.
Missed Opportunity for Engagement: Instead of providing a direct solution or guiding the user to the right resources, the answer pushes the responsibility back to the user. This can be perceived as dismissive and might not encourage user engagement.
In summary, the answer could be improved by directly addressing the user's query, providing clear information about the availability of examples, and offering guidance or alternatives if the requested examples are not available.