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convex-evals

get-convex/convex-evals · Homepage

Convex backend evals: coding tasks plus a 108-question multiple-choice decision benchmark.

Evaluation & Benchmarking1.00Runner-up: Classification & Routing
Automated README summary

Automatically summarized from the README on 7 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An open-source eval suite for Convex, a reactive database for full-stack AI coding. It runs coding evals across eight categories and a separate four-option decision benchmark measuring specific Convex knowledge, with results on a public leaderboard.

How it uses Jev

Jev answers the decision benchmark's four-option Convex questions via OpenRouter's /api/alpha/decisions endpoint with native typed questions. The hosted config pins typesafe/jev-1.13 and records the returned model ID, probabilities, confidence, and provider-reported cost. Correctness is scored from the chosen option; invalid responses and provider failures count as incorrect.

Primitives:choice

Technique worth stealing

Use native typed Choice questions through OpenRouter's decisions endpoint, pinning the model and recording probabilities, confidence, and cost.

Try it

bun run decisions dry-run --provider openrouter --model typesafe/jev-1.13 --limit-evals 2

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.13
  • Shows a System One patternunclear0.48
  • Describes handling uncertaintynot found in the excerpt0.03
  • Reports measured numbersFound in material0.97
  • Is a runnable toolnot found in the excerpt0.08
  • Top-10 learning shortlist signalnot found in the excerpt0.19
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
  • About JevFound in material0.93
Signals
Jev is core to the project0.13Shows a System One pattern0.48Describes handling uncertainty0.03Reports measured numbers0.97Is a runnable tool0.08Top-10 learning shortlist signal0.19Is a replica of the model0.0400.51Solves a common problem (0–2)1.00 / 2012

no-judgment band (0.40–0.60)

Design patterns
Flight recorder0.64Fail open, fail closed0.3100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 7 Oct 2026.