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AlibabaResearch/abench

CLI tool

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  • Stars from real accounts No data

    We haven't checked its stars for fakes yet.

  • Active OK

    Last change 4 days ago.

  • Licence OK

    Apache-2.0: you can use it for free, also in a commercial product. Keep the licence notice.

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What it is

A Python benchmark that replays recorded agent trajectories (DeepSWE v1.1, LMCache) or a locally generated workload in closed loop against an OpenAI-compatible inference server such as SGLang or vLLM. It reports per-turn TTFT, TPOT and E2E latency, cache behavior and throughput…

Who it's for

Engineers benchmarking LLM inference servers for agentic workloads with multi-turn coding agent trajectories

How to use it

Install

pip install agentic-bench

From its README. Check it there before running it.

Ask your AI to set it up

Paste this into Claude, ChatGPT or your coding assistant.

Help me install and set up AlibabaResearch/abench in my project. Follow its README: https://github.com/AlibabaResearch/abench. Explain each step and check it is safe before running anything.

Star curve

109From 0 to 109 stars between 14 Oct 2026 and 28 Oct 2026.

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