mirror of
https://github.com/OpenHands/OpenHands.git
synced 2025-12-26 05:48:36 +08:00
31b244f95e
* move multi-line bash tests to test_runtime; support multi-line bash for esruntime; * add testcase to handle PS2 prompt * use bashlex for bash parsing to handle multi-line commands; add testcases for multi-line commands * revert ghcr runtime change * Apply stash * fix run as other user; make test async; * fix test runtime for run as od * add run-as-devin to all the runtime tests * handle the case when username is root * move all run-as-devin tests from sandbox; only tests a few cases on different user to save time; * move over multi-line echo related tests to test_runtime * fix user-specific jupyter by fixing the pypoetry virtualenv folder * make plugin's init async; chdir at initialization of jupyter plugin; move ipy simple testcase to test runtime; * support agentskills import in move tests for jupyter pwd tests; overload `add_env_vars` for EventStreamRuntime to update env var also in Jupyter; make agentskills read env var lazily, in case env var is updated; * fix ServerRuntime agentskills issue * move agnostic image test to test_runtime * merge runtime tests in CI * fix enable auto lint as env var * update warning message * update warning message * test for different container images * change parsing output as debug * add exception handling for update_pwd_decorator * fix unit test indentation * add plugins as default input to Runtime class; remove init_sandbox_plugins; implement add_env_var (include jupyter) in the base class; * fix server runtime auto lint * Revert "add exception handling for update_pwd_decorator" This reverts commit 2b668b1506e02145cb8f87e321aad62febca3d50. * tries to print debugging info for agentskills * explictly setting uid (try fix permission issue) * Revert "tries to print debugging info for agentskills" This reverts commit 8be4c86756f0e3fc62957b327ba2ac4999c419de. * set sandbox user id during testing to hopefully fix the permission issue * add browser tools for server runtime * try to debug for old pwd * update debug cmd * only test agnostic runtime when TEST_RUNTIME is Server * fix temp dir mkdir * load TEST_RUNTIME at the beginning * remove ipython tests * only log to file when DEBUG * default logging to project root * temporarily remove log to file * fix LLM logger dir * fix logger * make set pwd an optional aux action * fix prev pwd * fix infinity recursion * simplify * do not import the whole od library to avoid logger folder by jupyter * fix browsing * increase timeout * attempt to fix agentskills yet again * clean up in testcases, since CI maybe run as non-root * add _cause attribute for event.id * remove parent * add a bunch of debugging statement again for CI :( * fix temp_dir fixture * change all temp dir to follow pytest's tmp_path_factory * remove extra bracket * clean up error printing a bit * jupyter chdir to self.config.workspace_mount_path_in_sandbox on initialization * jupyter chdir to self.config.workspace_mount_path_in_sandbox on initialization * add typing for tmp dir fixture * clear the directory before running the test to avoid weird CI temp dir * remove agnostic test case for server runtime * Revert "remove agnostic test case for server runtime" This reverts commit 30e2181c3fc1410e69596c2dcd06be01f1d016b3. * disable agnostic tests in CI * fix test * make sure plugin arg is not passed when no plugin is specified; remove redundant on_event function; * move mock prompt * rename runtime * remove extra logging * refactor run_controller's interface; support multiple runtime for integration test; filter out hostname for prompt * uncomment other tests * pass the right runtime to controller * log runtime when start * uncomment tests * improve symbol filters * add intergration test prompts that seemd ok * add integration test workflow * add python3 to default ubuntu image * symlink python and fix permission to jupyter pip * add retry for jupyter execute server * fix jupyter pip install; add post-process for jupyter pip install; simplify init by add agent_skills path to PYTHONPATH; add testcase to tests jupyter pip install; * fix bug * use ubuntu:22.04 for eventstream integration tests * add todo * update testcase * remove redundant code * fix unit test * reduce dependency for runtime * try making llama-index an optional dependency that's not installed by default * remove pip install since it seemd not needed * log ipython execution; await write message since it returns a future * update ipy testcase * do not install llama-index in CI * do not install llama-index in the app docker as well * set sandbox container image in the integration test script * log plugins & env var for runtime * update conftest for sha256 * add git * remove all non-alphanumeric chalracters * add working ipy module tests! * default to use host network * remove is_async from browser to make thing a little more reliable; retry loading browser when error; * add sleep to wait a bit for http server * kill http server before regenerate browsing tests * fix browsing * only set sandbox container image if undefined * skip empty config value * update evaluation to use the latest run_controller * revert logger in execute_server to be compatible with server runtime * revert logging level to fix jupyter * set logger level * revert the logging * chmod for workspace to fix permission * support getting timeout from action * update test for server runtime * try to fix file permission * fix test_cmd_run_action_serialization_deserialization test (added timeout) * poetry: pip 24.2, torch 2.2.2 * revert adding pip to pyproject.toml * add build to dependencies in pyproject.toml * forgot poetry lock --no-update * fix a DelegatorAgent prompt_002.log (timeout) * fix a DelegatorAgent prompt_003.log (timeout) * couple more timeout attribs in prompt files * some more prompt files * prompts galore * add clarification comment for timeout * default timeout to config * add assert * update integraton tests for eventstream * update integration tests * fix timeout for action<->dict * remove redundant on_event * default to use instance image * update run_controller interface * add logging for copy * refactor swe_bench for the new design * fix action execution timeout * updatelock * remove build sandbox locally * fix runtime * use plain for-loop for single process * remove extra print * get swebench inference working * print whole `test_result` dict * got swebench patch post-process working * update swe-bench evaluation readme * refactor using shared reset_logger function * move messy swebench prompt to a different file * support the ability to specify whether to keep prompt * support the ability to specify whether to keep prompt * fix dockerfile * fix import and remove unnecessary strip logic * fix action serialization * get agentbench running * remove extra ls for agent bench * fix agentbench metric * factor out common documentation for eval * update biocoder doc * remove swe_env_box since it is no longer needed * get biocoder working * add func timeout for bird * fix jupyter pwd with ~ as user name * fix jupyter pwd with ~ as user name * get bird working * get browsing evaluation working * make eda runnable * fix id column * fix eda run_infer * unify eval output using a structured format; make swebench coompatible with that format; update client source code for every swebench run; do not inject testcmd for swebench * standardize existing benchs for the new eval output * set update source code = true * get gaia standardized * fix gaia * gorilla refactored but stuck at language.so to test * refactor and make gpqa work * refactor humanevalfix and get it working * refactor logic reasoning and get it working * refactor browser env so it works with eventstream runtime for eval * add initial version of miniwob refactor * fix browsergym environment * get miniwob working!! * allowing injecting additional dependency to OD runtime docker image * allowing injecting additional dependency to OD runtime docker image * support logic reasoning with pre-injected dependency * get mint working * update runtime build * fix mint docker * add test for keep_prompt; add missing await close for some tests * update integration tests for eventstream runtime * fix integration tests for server runtime * refactor ml bench and toolqa * refactor webarena * fix default factory * Update run_infer.py * add APIError to retry * increase timeout for swebench * make sure to hide api key when dump eval output * update the behavior of put source code to put files instead of tarball * add dishash to dependency * sendintr when timeout * fix dockerfile copy * reduce timeout * use dirhash to avoid repeat building for update source * fix runtime_build testcase * add dir_hash to docker build pipeline * revert api error * update poetry lock * add retries for swebench run infer * fix git patch * update poetry lock * adjust config order * fix mount volumns * enforce all eval to use "instance_id" * remove file store from runtime * make file_store public inside eventstream * move the runtime logic inside `main` out * support using async function for process_instance_fn * refactor run_infer with the create_time * fix file store * Update evaluation/toolqa/utils.py Co-authored-by: Graham Neubig <neubig@gmail.com> * fix typo --------- Co-authored-by: tobitege <tobitege@gmx.de> Co-authored-by: super-dainiu <78588128+super-dainiu@users.noreply.github.com> Co-authored-by: Graham Neubig <neubig@gmail.com>
2.3 KiB
2.3 KiB
Evaluating GPQA (A Graduate-Level Google-Proof Q&A Benchmark) with OpenDevin
Implements the evaluation of agents on the GPQA benchmark introduced in GPQA: A Graduate-Level Google-Proof Q&A Benchmark.
This code implements the evaluation of agents on the GPQA Benchmark with Open Book setting.
- The benchmark consists of 448 high-quality and extremely difficult multiple-choice questions in the domains of biology, physics, and chemistry. The questions are intentionally designed to be "Google-proof," meaning that even highly skilled non-expert validators achieve only 34% accuracy despite unrestricted access to the web.
- Even experts in the corresponding domains achieve only 65% accuracy.
- State-of-the-art AI systems achieve only 39% accuracy on this challenging dataset.
Note Accurate solving of above graduate level questions would require both tool use (e.g., python for calculations) and web-search for finding related facts as information required for the questions might not be part of the LLM knowledge / training data.
Further references:
- https://arxiv.org/pdf/2311.12022
- https://paperswithcode.com/dataset/gpqa
- https://github.com/idavidrein/gpqa
Setup Environment and LLM Configuration
Please follow instruction here to setup your local development environment and LLM.
Run Inference on GPQA Benchmark
'gpqa_main', 'gqpa_diamond', 'gpqa_experts', 'gpqa_extended' -- data split options From the root of the OpenDevin repo, run the following command:
./evaluation/gpqa/scripts/run_infer.sh [model_config_name] [git-version] [num_samples_eval] [data_split] [AgentClass]
You can replace model_config_name with any model you set up in config.toml.
model_config_name: The model configuration name fromconfig.tomlthat you want to evaluate.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.num_samples_eval: Number of samples to evaluate (useful for testing and debugging).data_split: The data split to evaluate on. Must be one ofgpqa_main,gqpa_diamond,gpqa_experts,gpqa_extended. Defaults togpqa_diamondas done in the paper.AgentClass: The agent class to use for evaluation. Currently only supportsCodeActAgentfor CodeActAgent.