mirror of
https://github.com/aljazceru/Auto-GPT.git
synced 2025-12-18 14:34:23 +01:00
* Rearrange tests into unit/integration/challenge categories * Fix linting + `tests.challenges` imports * Fix obscured duplicate test in test_url_validation.py * Move VCR conftest to tests.vcr * Specify tests to run & their order (unit -> integration -> challenges) in CI * Fail Docker CI when tests fail * Fix import & linting errors in tests * Fix `get_text_summary` * Fix linting errors * Clean up pytest args in CI * Remove bogus tests from GoCodeo
23 lines
840 B
Markdown
23 lines
840 B
Markdown
# Information Retrieval Challenge B
|
|
|
|
**Status**: Beaten
|
|
|
|
**Command to try**:
|
|
|
|
```
|
|
pytest -s tests/challenges/information_retrieval/test_information_retrieval_challenge_b.py
|
|
```
|
|
|
|
## Description
|
|
|
|
The agent's goal is to find the names, affiliated university, and discovery of the individuals who won the nobel prize for physics in 2010.
|
|
|
|
It should write the result in a file called 2010_nobel_prize_winners.txt.
|
|
|
|
The agent should be able to beat this test consistently (this is the hardest part).
|
|
|
|
## Objective
|
|
|
|
The objective of this challenge is to test the agent's ability to retrieve multiple pieces of related information in a consistent way.
|
|
The agent should not use google to perform the task, because it should already know the answer. This why the task fails after 2 cycles (1 cycle to retrieve information, 1 cycle to write the file)
|