Boxuan Li c68478f470 Customize LLM config per agent (#2756) il y a 1 an
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.cache_program a9823491e6 Support Logic Reasoning Benchmark (#1973) il y a 1 an
scripts cab7a288ca Add NUM_WORKERS variable to run_infer.sh scripts for configurable woker settings (#2597) il y a 1 an
README.md c68478f470 Customize LLM config per agent (#2756) il y a 1 an
__init__.py a9823491e6 Support Logic Reasoning Benchmark (#1973) il y a 1 an
instruction.txt 9ada36e30b fix: restore python linting. (#2228) il y a 1 an
logic_inference.py 05b84df9cb chore: fix some comments (#2234) il y a 1 an
run_infer.py d37b2973b2 Refactoring: event stream based agent history (#2709) il y a 1 an

README.md

Logic Reasoning Evaluation

This folder contains evaluation harness for evaluating agents on the logic reasoning benchmark ProntoQA and ProofWriter.

Configure OpenDevin and your LLM

Create a config.toml file if it does not exist at the root of the workspace.

Add the following configurations:

[core]
max_iterations = 100
cache_dir = "/tmp/cache"
ssh_hostname = "localhost"
enable_auto_lint = true

# TODO: Change these to the model you want to evaluate
[llm.eval_gpt4_1106_preview_llm]
model = "gpt-4-1106-preview"
api_key = "XXX"
temperature = 0.0

[llm.eval_some_openai_compatible_model_llm]
model = "openai/MODEL_NAME"
base_url = "https://OPENAI_COMPATIBLE_URL/v1"
api_key = "XXX"
temperature = 0.0

Run Inference on logic_reasoning

The following code will run inference on the first example of the ProntoQA dataset, using OpenDevin 0.6.2 version.

./evaluation/logic_reasoning/scripts/run_infer.sh ProntoQA eval_gpt4_1106_preview_llm 0.6.2 1