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AgentBoard

Roadmap

Fine-grained progress-rate metrics over partially solved agent tasks.

On the roadmap

AgentBoard 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
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Citation
Ma et al., 2024, arXiv:2401.13178
License
Apache-2.0
Homepage
https://hkust-nlp.github.io/agentboard
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