Auto-discover new capabilities via API's and dynamic run-times.

[MatShep]

Create a new command to dynamically expand capabilities.

1. Identify a capability gap. e.g. if current weather/stock prices cannot be obtained from current Auto-GPT capabilities
2. Provide a static list of known API libraries (or discover via google search).
3. Find an API for the required capability.
4. Create a python command in-memory to call the discovered API schema.
5. Call a sub-agent to impersonate the in-memory API python command.
6. Ask the sub-agent to return a response for the new capability.

Some example API libraries:

• https://api.publicapis.org/entries
• https://api.m3o.com/v1/app/List
• https://github.com/public-apis/public-apis
• https://developers.google.com/apis-explorer
• https://learn.microsoft.com/en-us/python/api/?view=azure-python
• https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/index.html

[Pwuts]

@BillSchumacher what do you think, plugin or core?

[Boostrix]

FWIW, I would also be interested in discussing this a little more, in fact I started experiments related to this, asking a bunch of agents to recursively write a program, which involved "discovering" the github docs/API to pull this off: #15 (comment)

The idea was to traverse this project's open github pull requests and identitfy those that have no conflicts and that also aren't touching any files touched by other open PRs: #15 (comment)

[github-actions]

This issue was closed automatically because it has been stale for 10 days with no activity.

[Boostrix]

This would actually help also in the context of #5536