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τ²-bench (tau-bench)

Simulated customer-service benchmark where an agent follows domain policies and uses tools while a simulated user also acts.

Reference by Sierra

IndexedMIT★ 2,310
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Chalk Labs

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About

Whether a conversational agent completes tasks correctly and follows policy in airline, retail and telecom domains, over text or voice.

Use cases: llm-evaluation, customer-support

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About the benchmark

Benchmark site
taubench.com/
Current version
v2.0.0 (adds six languages and voice)github.com
Maintainer
Sierrataubench.com
Launched
2025-06arxiv.org
Leaderboard
taubench.com/

We link to the official leaderboard instead of copying scores. Benchmarks get gamed and saturate; we never use them to rank listings.

Signals

Stars
2,310
Forks
606
Open issues
132
Last commit
Oct 24, 2026 (6 days ago)
Last release
Oct 20, 2026 (11 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
v2.0.0 (adds six languages and voice)
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

τ²-bench (tau-bench) benchmark. Agent Mart. https://agentmart.dev/reference/tau2-bench (last updated 2026-10-24)