agent_bench

AgentBench Evaluation

This folder contains evaluation harness for evaluating agents on the AgentBench: Evaluating LLMs as Agents. We currently only support running on the osbench subset.

Setup Environment and LLM Configuration

Please follow instruction here to setup your local development environment and LLM.

Start the evaluation

./evaluation/agent_bench/scripts/run_infer.sh [model_config] [git-version] [agent] [eval_limit]

• model_config, e.g. eval_gpt4_1106_preview, is the config group name for your LLM settings, as defined in your config.toml.
• git-version, e.g. HEAD, is the git commit hash of the OpenHands version you would like to evaluate. It could also be a release tag like 0.6.2.
• agent, e.g. CodeActAgent, is the name of the agent for benchmarks, defaulting to CodeActAgent.
• eval_limit, e.g. 10, limits the evaluation to the first eval_limit instances. By default, the script evaluates the entire SWE-bench_Lite test set (300 issues). Note: in order to use eval_limit, you must also set agent.

Following is the basic command to start the evaluation.

You can update the arguments in the script evaluation/agent_bench/scripts/run_infer.sh, such as --max-iterations, --eval-num-workers and so on.

• --agent-cls, the agent to use. For example, CodeActAgent.
• --llm-config: the LLM configuration to use. For example, eval_gpt4_1106_preview.
• --max-iterations: the number of iterations to run the evaluation. For example, 30.
• --eval-num-workers: the number of workers to use for evaluation. For example, 5.
• --eval-n-limit: the number of examples to evaluate. For example, 100.

./evaluation/agent_bench/scripts/run_infer.sh eval_gpt35_turbo HEAD CodeActAgent 1