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AgentBench

Roadmap

Eight distinct environments measuring agent ability across domains.

On the roadmap

AgentBench is catalogued but not runnable yet, so there are no usage docs — we do not document what does not run. The fact sheet below is sourced from the paper; the protocols it will implement are stable today.

Paper
AgentBench: Evaluating LLMs as Agents
Citation
Liu et al., 2023, arXiv:2308.03688
License
Apache-2.0
How an eval goes live
  1. Implement an EvalRunner against the stable protocols.
  2. Bundle a small real-schema sample so it runs offline.
  3. Point the catalog entry's runner at the class.
  4. Ship its docs in the same change — required to flip live.

pip install agi-evals