[New tool] docker code executor

[logan-markewich]

Description

Adds a new tool spec with several tools for basically being a developer.

• execute_code
• execute_file
• list_files
• write_file
• create_directory

Still TODO:

• does this actually work? So far have only slightly dogfooded this with a gpt-4o agent
• is this safe? Can it be safer?
• does the approach make sense? I might want to add async functions as well tbh
• write tests?

New Package?

Did I fill in the tool.llamahub section in the pyproject.toml and provide a detailed README.md for my new integration or package?

• [x] Yes

Version Bump?

Did I bump the version in the pyproject.toml file of the package I am updating? (Except for the llama-index-core package)

• [x] Yes
• [ ] No

Type of Change

Please delete options that are not relevant.

• [ ] Bug fix (non-breaking change which fixes an issue)
• [x] New feature (non-breaking change which adds functionality)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] This change requires a documentation update

How Has This Been Tested?

Your pull-request will likely not be merged unless it is covered by some form of impactful unit testing.

• [ ] I added new unit tests to cover this change
• [ ] I believe this change is already covered by existing unit tests

Suggested Checklist:

• [x] I have performed a self-review of my own code
• [x] I have commented my code, particularly in hard-to-understand areas
• [ ] I have made corresponding changes to the documentation
• [ ] I have added Google Colab support for the newly added notebooks.
• [x] My changes generate no new warnings
• [ ] I have added tests that prove my fix is effective or that my feature works
• [ ] New and existing unit tests pass locally with my changes
• [x] I ran make format; make lint to appease the lint gods

[logan-markewich]

Hmm. To be more production useful, this kind of needs to be on a server

[logan-markewich]

A more opionated version of this tool could also be a tool Registry, where an llm can build its own tools over time