OpenBB-agents

Active work-in-progress. Consider pre-alpha for now.

This is a project that leverages LLMs and OpenBB Platform to create financial analyst agents that can autonomously perform financial research, and answer questions using up-to-date data. This is possible as a result of agents utilizing function calling to interact with the OpenBB platform.

Set-up

At present, we currently support Python 3.11. If you're using a earlier version of Python, your mileage may vary. We'll be adding wider support very soon!

• Create a new virtual environment, with poetry
• poetry install

Usage

Use the run.py script and pass in your query.

Queries can be simple:

python run.py "What is the current market cap of TSLA?"

Queries can be complex:

python run.py "Perform a fundamentals financial analysis of AMZN using the most recently available data. What do you find that's interesting?"

Queries can also have temporal dependencies (i.e the answers of previous subquestions are required to answer a later subquestion):

python run.py "Who are TSLA's peers? What is their respective market cap? Return the results in _descending_ order of market cap."

There is more functionality coming very soon!

Development

Linting and Formatting

We're currently experimenting with ruff as a drop-in replacement for black, isort and pylint.

You can run linting checks as follows:

ruff check

Or fix linting errors:

ruff check --fix

Or format the code:

ruff format

We've also included these in the pre-commit, if you'd prefer to have these checks run automatically before commiting code. You can install the pre-commit hooks as follows:

pre-commit install

Testing

We are in the process of adding tests.

We use pytest as our test-runner:

pytest tests/