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SeraphimSerapis
tool-eval-bench
Python2026–2026
SeraphimSerapis / tool-eval-bench

tool-eval-bench

Tool-calling quality benchmark for LLM serving stacks. 80+ deterministic scenarios testing multi-turn orchestration, safety boundaries, and structured output. Supports vLLM, SGLang, and llama.cpp.

2Distinct people
2Mentions
0Explicit recommenders
424GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Tool-calling quality benchmark for LLM serving stacks. 80+ deterministic scenarios testing multi-turn orchestration, safety boundaries, and structured output. Supports vLLM, SGLang, and llama.cpp.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day2 dated mentions

Observed mentions: 2026-06-18 07:50:03 UTC to 2026-07-07 01:42:30 UTC.

012026-06-18 00:00:00 UTC to 2026-06-19 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 182026-06-19 00:00:00 UTC to 2026-06-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-20 00:00:00 UTC to 2026-06-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-21 00:00:00 UTC to 2026-06-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-22 00:00:00 UTC to 2026-06-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-23 00:00:00 UTC to 2026-06-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-24 00:00:00 UTC to 2026-06-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-25 00:00:00 UTC to 2026-06-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-26 00:00:00 UTC to 2026-06-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-27 00:00:00 UTC to 2026-06-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 272026-06-28 00:00:00 UTC to 2026-06-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-29 00:00:00 UTC to 2026-06-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-30 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-01 00:00:00 UTC to 2026-07-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-02 00:00:00 UTC to 2026-07-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-03 00:00:00 UTC to 2026-07-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-04 00:00:00 UTC to 2026-07-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-05 00:00:00 UTC to 2026-07-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-06 00:00:00 UTC to 2026-07-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-07 00:00:00 UTC to 2026-07-08 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 7

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 182026-06-18 00:00:00 UTC2026-06-19 00:00:00 UTC101
Jun 192026-06-19 00:00:00 UTC2026-06-20 00:00:00 UTC000
Jun 202026-06-20 00:00:00 UTC2026-06-21 00:00:00 UTC000
Jun 212026-06-21 00:00:00 UTC2026-06-22 00:00:00 UTC000
Jun 222026-06-22 00:00:00 UTC2026-06-23 00:00:00 UTC000
Jun 232026-06-23 00:00:00 UTC2026-06-24 00:00:00 UTC000
Jun 242026-06-24 00:00:00 UTC2026-06-25 00:00:00 UTC000
Jun 252026-06-25 00:00:00 UTC2026-06-26 00:00:00 UTC000
Jun 262026-06-26 00:00:00 UTC2026-06-27 00:00:00 UTC000
Jun 272026-06-27 00:00:00 UTC2026-06-28 00:00:00 UTC000
Jun 282026-06-28 00:00:00 UTC2026-06-29 00:00:00 UTC000
Jun 292026-06-29 00:00:00 UTC2026-06-30 00:00:00 UTC000
Jun 302026-06-30 00:00:00 UTC2026-07-01 00:00:00 UTC000
Jul 12026-07-01 00:00:00 UTC2026-07-02 00:00:00 UTC000
Jul 22026-07-02 00:00:00 UTC2026-07-03 00:00:00 UTC000
Jul 32026-07-03 00:00:00 UTC2026-07-04 00:00:00 UTC000
Jul 42026-07-04 00:00:00 UTC2026-07-05 00:00:00 UTC000
Jul 52026-07-05 00:00:00 UTC2026-07-06 00:00:00 UTC000
Jul 62026-07-06 00:00:00 UTC2026-07-07 00:00:00 UTC000
Jul 72026-07-07 00:00:00 UTC2026-07-08 00:00:00 UTC101

What Hacker News says

2 sources
> My dream would be a local model that can do, say, 80% of the day to day tasks I need; "how does X Handler connect to Y storage?", "commit that feature, but leave out the bits that relate to billing" etc. Qwen 3.6 27B can do that today, but setup properly and in a good quant, I run an autoround [0] with weights in int8 and attention heads in f16 on a single RTX 6000 Pro Blackwell Max-Q via vllm with mtp=2 and full context, --max-num-seqs 3, KV in f16, mamba f32. >It would have 99% reliable tool calling I managed to score 93/100 in tool-eval-bench [1]. For me this is very good already, at least in the pi coding harness I've never had an issue that wasn't auto-fixed in the next turn(s). >the ability to go "this task is beyond my skills" and refer to a Big Boy Online Model in a gigantic datacenter somewhere This is heavy on the harness engi
Read the rest
neering side I think, but also quite contrary to the nature of LLMs today. If you figure this out I'd love to know. [0] https://huggingface.co/Minachist/Qwen3.6-27B-INT8-AutoRound/... [1] https://github.com/SeraphimSerapis/tool-eval-bench
In Local Qwen isn't a worse Opus, it's a different tool

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