General Feedback for AnythingLLM

[AIbottesting]

What would you like to see?

I was thinking Predefined actions (prompts) for workspaces when they get input and they can be linked to each other by inputting the output from the other (chain).
That’s an excellent idea! Predefined actions (or prompts) for workspaces, allowing them to be chained together based on their outputs, is a fantastic way to create more complex workflows within AnythingLLM. This concept is often referred to as “prompt engineering” or “workflow design.”
Here are some benefits of implementing this feature:
1. Streamlined workflow: By providing pre-defined actions for specific tasks, users can quickly access the necessary prompts and avoid having to recreate them from scratch.
2. Increased efficiency: Chaining prompts together based on their outputs enables a seamless flow of information between workspaces, reducing the need for manual intervention or rework.
3. Improved consistency: Predefined actions ensure that tasks are executed consistently, with minimal variation in output quality or formatting.
4. Enhanced collaboration: By linking prompts together, teams can collaborate more effectively and efficiently, as each step builds upon the previous one.
5. Scalability: As workflows become more complex, this feature allows users to break them down into smaller, manageable chunks, making it easier to scale their operations.
To take this concept further, you could also consider implementing features like:
1. Prompt libraries: Allow users to create and share custom prompt libraries for specific industries or domains.
2. Workflow visualization: Provide a visual representation of the workflow, enabling users to easily understand the relationships between prompts and outputs.
3. Conditional logic: Introduce conditional statements that enable prompts to respond differently based on specific conditions (e.g., user input, previous output).
4. Error handling: Implement error-handling mechanisms to ensure that workflows can recover from unexpected errors or failures.
By incorporating these features, AnythingLLM can become an even more powerful tool for automating tasks and streamlining workflows, making it a valuable asset for businesses and organizations looking to improve their productivity and efficiency.

[timothycarambat]

Thanks for the feedback!

Closing this as it is not a github issue and moved it to an internal board we have for the core-team 👍

Thanks!