* Remove global config from memory * Remove runtime global config * Remove from storage * Remove global config * Fix event stream tests * Fix sandbox issue * Change config * Removed transferred tests * Add swe env box * Fixes on testing * Fixed some tests * Fix typing * Fix ipython test * Revive function * Make temp_dir fixture * Remove test to avoid circular import
GAIA Evaluation
This folder contains evaluation harness for evaluating agents on the GAIA benchmark.
Configure OpenDevin and your LLM
Create a config.toml file if it does not exist at the root of the workspace. Please check README.md for how to set this up.
Run the evaluation
We are using the GAIA dataset hosted on Hugging Face.
Please accept the terms and make sure to have logged in on your computer by huggingface-cli login before running the evaluation.
Following is the basic command to start the evaluation. Here we are evaluating on the validation set for the 2023_all split. You can adjust ./evaluation/gaia/scripts/run_infer.sh to change the subset you want to evaluate on.
./evaluation/gaia/scripts/run_infer.sh [model_config] [git-version] [agent] [eval_limit] [gaia_subset]
# e.g., ./evaluation/gaia/scripts/run_infer.sh eval_gpt4_1106_preview 0.6.2 CodeActAgent 300
where model_config is mandatory, while git-version, agent, eval_limit and gaia_subset are optional.
-
model_config, e.g.eval_gpt4_1106_preview, is the config group name for your LLM settings, as defined in yourconfig.toml, defaulting togpt-3.5-turbo -
git-version, e.g.HEAD, is the git commit hash of the OpenDevin version you would like to evaluate. It could also be a release tag like0.6.2. -
agent, e.g.CodeActAgent, is the name of the agent for benchmarks, defaulting toCodeActAgent. -
eval_limit, e.g.10, limits the evaluation to the firsteval_limitinstances, defaulting to all instances. -
gaia_subset, GAIA benchmark has multiple subsets:2023_level1,2023_level2,2023_level3,2023_all, defaulting to2023_level1.
For example,
./evaluation/gaia/scripts/run_infer.sh eval_gpt4_1106_preview 0.6.2 CodeActAgent 10
Get score
Then you can get stats by running the following command:
python ./evaluation/gaia/get_score.py \
--file <path_to/output.json>