search

jmikedupont2 / ai-ticket

The AI and Human powered ticket system to manage your AI based code generation with tickets
MIT License
21 stars 11 forks source link

Gdb #42

Open jmikedupont2 opened 12 months ago

jmikedupont2 commented 12 months ago

Implementing a debug protocol similar to the GDB (GNU Debugger) interface is a common and powerful approach for debugging systems or software. GDB provides a robust set of commands for debugging, including stepping through code, inspecting variables, and changing their values. You can certainly create a simplified version of such a protocol for your debugging needs.

Here's an example of how you can extend the debug protocol to include some GDB-like commands:

<debug-protocol> ::= <command>...

<command> ::= <command-name> [<options>] [<arguments>]

<command-name> ::= "step" | "run" | "break" | "inspect" | "set" | ...

<options> ::= [<option>]...

<option> ::= '-' <option-name> [<option-value>]

<option-name> ::= <string>

<option-value> ::= <string> | <number> | <boolean> | ...

<arguments> ::= <argument>...

<argument> ::= <string> | <number> | <boolean> | ...

With this extended protocol, you can implement commands like:

You can further define specific options and argument formats for each of these commands as needed for your debugging use case. Implementing such a protocol will allow you to create a versatile debugging interface for your system, similar to GDB, tailored to your specific requirements.

jmikedupont2 commented 12 months ago

It sounds like you're creating a debugging and workflow management system for Auto GPT. Here's a simplified flow based on the extended debug protocol we discussed:

  1. Set Breakpoint: You can have a command like "break" in your protocol that allows users to set a breakpoint in the workflow at a specific point of interest.

  2. Execute Workflow: After setting a breakpoint, the workflow can continue until it reaches the breakpoint.

  3. Inspect Variables: When the workflow hits the breakpoint, you can have an "inspect" command that allows users to inspect the values of relevant variables at that point.

  4. Create Ticket: If further action is required or if the user wants to approve the next step, you can create a ticket or notification to inform the user about the current state of the system.

  5. User Approval: The user can then approve the next step or take any other necessary actions based on the inspection results.

  6. Continue Workflow: Once the user approves, the workflow can continue from the breakpoint and proceed to the next steps.

This approach allows for interactive debugging and workflow control while involving user input for decision-making. It can be a powerful way to manage and debug complex workflows in systems like Auto GPT.