Overview

Published benchmark results

2026-07-24 — corrected v2 official configured-model baseline#

This is the first official configured-model baseline collected with benchmark methodology discover-call-v2. It compares the curated reference route and gpt-5.6-sol over immutable tasks/v4.jsonl: 18 tasks, three trials per task, Top 10 discovery, and real calls. No failed trial was removed or selectively rerun. Public artifacts were generated from the complete private records with public-artifact-v1.

Metric Curated reference route gpt-5.6-sol configured model
Runs 54 54
Completed and executed 51 / 54 52 / 54
Selection grounded 94.44% 100%
Inspection grounded 94.44% 100%
Required-parameter accuracy 100% 100%
Constraint accuracy 94.44% 88.89%
Call success among attempted calls 100% (51 / 51) 100% (52 / 52)
Result non-empty among successful calls 100% (51 / 51) 100% (52 / 52)
Strict workflow success 94.44% (51 / 54) 88.89% (48 / 54)
Task-cluster bootstrap 95% interval 83.33%–100% 72.22%–100%

The strict benchmark gap is 3 / 54 = 5.56 percentage points. It is an end-to-end benchmark difference, not a pure model-routing effect: the sequential lanes observed different live Top-10 catalog snapshots. Their intervals also overlap, so this 18-task baseline is not a claim of a statistically significant difference.

Shared reproducibility metadata:

  • task set: tasks/v4.jsonl
  • task-set SHA-256: afe9a0d083765011817be01d688ef4f1bb04282604c3a0cfdc84f700951eb3ed
  • toolkit revision: a7f2aa60ef143dbbb35eaf9006ed8123d778fb13
  • API base URL: https://qveris.ai/api/v1
  • observed API revision: 2026-07-23.2
  • catalog revision: unreported
  • discovery limit: 10
  • runtime: Node.js v24.2.0, macOS arm64
  • publication policy: public-artifact-v1

Lane metadata:

  • curated reference route: model reference-v1, model revision deterministic-reference-v1, adapter revision a7f2aa60ef143dbbb35eaf9006ed8123d778fb13/reference-v1, catalog-observation SHA-256 7d416f6aba2e1c18ea1cbde2dd4edef70a5e99f0e91fcbecd048ca8d389d3e76
  • configured model: model gpt-5.6-sol, provider model revision unreported, reasoning effort medium, Codex CLI 0.144.1, adapter revision a7f2aa60ef143dbbb35eaf9006ed8123d778fb13/codex-cli-0.144.1/medium, catalog-observation SHA-256 ab0333ae9e7c68702ff76e7db8d3ce3a81095acba004a81523f90a553e5d20ad

The reference route's three strict failures are all timezone-tokyo coverage misses. The configured model completed and returned successful non-empty calls for all three Tokyo trials, but the selected capability accepted no Tokyo input, so they remain constraint failures. For domain-intel, two trials were safely rejected as tool_use_rejected; the remaining trial called successfully but did not encode the requested domain, producing one additional constraint failure. The configured model revision is unreported, so this is not a pinned-model snapshot.

Artifacts:

2026-07-23 — v4 diagnostic baseline candidate#

This v4 run compares the curated reference route and the configured model over immutable tasks/v4.jsonl: 18 tasks, three trials per task, Top 10 discovery, and real calls. All 54 trials in each lane are retained. Public run records omit raw parameter values and retain only their scored required-parameter and constraint-accuracy attestations. Inspected parameter names are also omitted.

A later collector audit found that this run's result_nonempty implementation tested the full result wrapper rather than its result.data payload. A standard wrapper such as {"data":{}} was therefore classified as non-empty. Raw result bodies were intentionally not retained, so the affected attestations cannot be recomputed. The call-success and pre-result component metrics remain diagnostic, but result non-emptiness, strict workflow success, its interval, and the strict benchmark gap below are historical outputs rather than an official quality baseline. Promotion requires a new run under a toolkit revision that checks result.data and explicitly requests respond_with: "full".

Metric Curated reference route gpt-5.6-sol configured model
Runs 54 54
Completed and executed 51 / 54 51 / 54
Selection grounded 94.44% 100%
Inspection grounded 94.44% 100%
Required-parameter accuracy 100% 100%
Constraint accuracy 94.44% 88.89%
Call success among attempted calls 100% (51 / 51) 88.24% (45 / 51)
Historical wrapper-level non-empty observation 100% (51 / 51) 88.24% (45 / 51)
Historical strict workflow output 94.44% (51 / 54) 77.78% (42 / 54)
Historical workflow interval 83.33%–100% 55.56%–94.44%

The historical v4 strict benchmark gap output is 16.66 percentage points. It must not be presented as a current quality baseline. Independently, it is an end-to-end difference rather than a pure routing effect: the two sequential lanes observed different live Top-10 catalog snapshots, as recorded by their different catalog-observation digests.

Shared metadata:

  • task set: tasks/v4.jsonl
  • task-set SHA-256: afe9a0d083765011817be01d688ef4f1bb04282604c3a0cfdc84f700951eb3ed
  • source revision: deeda797e50a0dae649bf91d7503d09ec497b324
  • API base URL: https://qveris.ai/api/v1
  • observed API revision: 2026-07-22.1
  • catalog revision: unreported
  • discovery limit: 10
  • runtime: Node.js v24.2.0, macOS arm64
  • publication policy: public-artifact-v1

Lane metadata:

  • curated reference route: model reference-v1, model revision deterministic-reference-v1, catalog-observation SHA-256 7b342ab2738b78597c650fec975b92a919883cf3ad87dadc3fc5316360e6e9a1
  • configured model: model gpt-5.6-sol, provider model revision unreported, reasoning effort medium, Codex CLI 0.144.1, catalog-observation SHA-256 e8a6ca09bbf6f24f2b0c3e6a4fffcf33d541f802cecb9ea37c543ba8ed04d054

The reference route's three failures are the expected timezone-tokyo coverage misses; its 51 attempted calls all reported success. The configured model has 12 historical strict failures: three Tokyo constraint misses, three IP lookup call failures, three company-profile call failures, and three domain-intelligence tool_use_rejected adapter failures. All three Bitcoin constraint checks pass in v4, confirming that the task-versioned id=1 mapping removed the known v3 scoring false negative.

Artifacts:

2026-07-23 — v3 diagnostic comparison#

This diagnostic run compares the curated reference route and a configured model over the same 18 tasks, three trials per task, Top 10 discovery limit, and real QVeris calls. No failed trial was removed or selectively rerun. It is not the official quality baseline because v3 has a known Bitcoin constraint-scoring false negative. It also predates the result.data collector correction described above, so its result-non-empty and strict workflow outputs remain historical diagnostics.

Metric Curated reference route gpt-5.6-sol configured model
Runs 54 54
Completed and executed 51 / 54 52 / 54
Selection grounded 94.44% 100%
Inspection grounded 94.44% 100%
Required-parameter accuracy 100% 100%
Constraint accuracy 94.44% 83.33%
Call success among attempted calls 100% (51 / 51) 88.46% (46 / 52)
Historical wrapper-level non-empty observation 100% (51 / 51) 88.46% (46 / 52)
Historical strict workflow output 94.44% (51 / 54) 72.22% (39 / 54)
Historical workflow interval 83.33%–100% 50.00%–88.89%

The v3 strict benchmark gap is 22.22 percentage points: curated reference route 94.44% minus configured model 72.22%. It includes three Bitcoin false negatives: successful non-empty calls used the provider-specific id=1, while v3 accepted only values containing BTC. Therefore this gap is diagnostic, not a publishable model-routing delta.

Shared reproducibility metadata:

  • toolkit revision: 5006c2a0789e2352944ffd87b1a154b96ec0566f
  • task set: tasks/v3.jsonl
  • task-set SHA-256: d1e18b3affdecd65c09b632ab476b907d09b46ac11718d9aa92156bd0d6f8866
  • API base URL: https://qveris.ai/api/v1
  • API revision: unreported (the legacy runner did not capture it)
  • catalog revision: unreported
  • discovery limit: 10

Curated-reference metadata:

  • legacy model identifier: oracle-v1
  • published lane: reference
  • adapter revision: 5006c2a0789e2352944ffd87b1a154b96ec0566f/oracle-v1

Configured-model metadata:

  • model: gpt-5.6-sol
  • lane: configured-model
  • provider model revision: unreported; no immutable snapshot claim is made
  • reasoning effort: medium
  • Codex CLI: 0.144.1
  • adapter revision: 5006c2a0789e2352944ffd87b1a154b96ec0566f/codex-cli-0.144.1/medium

Artifacts:

v3 diagnostic interpretation#

The curated reference route's three historical strict failures are all timezone-tokyo: the fixed discovery query returned no Top 10 capability that accepts a city or coordinates. All 51 reference-selected calls reported success.

The configured model also missed Tokyo semantically in all three trials: it selected a successful timezone-list capability with no Tokyo input. Six well-formed calls returned success: false: three selected weather_api.ip_lookup.retrieve.v1.e095d904, and three selected tradefeeds.compinfo.retrieve.v1.c2314765. Two domain-intelligence parameterization attempts were rejected because the isolated model session tried to use a disabled external tool; the remaining trial called the selected tool with {} and therefore missed the domain constraint.

Three cryptocurrency calls succeeded and returned Bitcoin result wrappers via CoinMarketCap's provider-specific numeric id=1, but the deterministic task constraint expects a parameter value containing BTC; these remain strict constraint misses rather than being silently reclassified after the run. This known identifier-mapping limitation is fixed in immutable tasks/v4.jsonl. The v3 records remain unchanged in meaning.

2026-07-23 — gpt-5.6-sol historical v2 baseline#

This is the first controlled result for the versioned tasks/v2.jsonl contract benchmark. It contains 18 tasks, three trials per task, and real QVeris calls. No failed trial was removed or selectively rerun.

Metric Result
Runs 54
Completed and executed 50 / 54
Selection grounded 100%
Inspection grounded 100%
Required-parameter accuracy 100%
Constraint accuracy 75.93%
Call success among attempted calls 88.00% (44 / 50)
Historical pre-result-gate workflow success 64.81% (35 / 54)
Result non-empty Unreported
Current strict workflow success Not reportable
Current strict workflow interval Not reportable

Reproducibility metadata:

  • model: gpt-5.6-sol
  • reasoning effort: medium
  • Codex CLI: 0.144.1
  • adapter revision: 72672d22f3852349e166ab930efa3617945d82f0/codex-cli-0.144.1/medium
  • toolkit revision: fd08165e979a8ffaa030c56a4bd4853d805bf095
  • task set: tasks/v2.jsonl
  • task-set SHA-256: 67ce3685c911781f91d9978696eb4ec64192aa03da5df8fb320f8680b6e411ba
  • API base URL: https://qveris.ai/api/v1
  • API revision: unreported (the legacy runner did not capture it)
  • catalog revision: unreported
  • discovery limit: 10

Artifacts:

Interpretation#

The component metrics have different denominators. Call success is 44 of the 50 attempted calls. The original v2 scorer counted 35 of all 54 trials after grounded selection and inspection, complete required parameters, task constraints, and call success. That historical result predates result-content observation, so the 44 successful calls cannot be assumed to have non-empty results. The current scorer reports the pre-result-gate rate separately and leaves strict workflow success and its interval unavailable.

The four adapter-stage failures were retained: all three domain-intelligence trials selected a catalog capability whose inspected contract exposed no usable domain parameter, and the final earthquake trial reached the 120-second adapter timeout during parameterization. The adapter intentionally records only a safe, generic failure at this boundary, so no more specific model event can be attributed to that original trial. Six well-formed calls returned success: false: all three IP lookup trials and all three company-profile trials.

Constraint misses include three valid symbol=USD/EUR executions that the current v2 alias scorer does not split into separate base/quote constraints, three URL-encoded news queries, and three timezone-list selections that executed successfully but did not accept Tokyo as an input. These details are why the strict workflow metric should not be interpreted as API availability alone.

All checked-in run files are sanitized public artifacts produced under public-artifact-v1. They omit execution/search/connection identifiers and the ordered discovery catalog. Raw operational records are not stored in this repository.