A candidate-scoring head returns distributions for gates, routes and scores without decoding prose or JSON answers. The README compares a benchmark-trained AgentJev specialist with Jev 1.13.0 evaluated zero-shot; these use different training conditions.
convex-evals: Leaderboard that puts Jev and 14 LLMs through 108
get-convex/convex-evals
VerifiedResearchDocumented
convex-evals: Leaderboard that puts Jev and 14 LLMs through 108 four-option multiple-choice questions about the Convex backend platform. See Jev references and source code.
Repository description: Leaderboard that puts Jev and 14 LLMs through 108 four-option multiple-choice questions about the Convex backend platform, comparing accuracy, latency, and cost, with a per-answer explorer showing Jev probabilities.
What you can build with it
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/get-convex/convex-evals.gitProject facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- TypeScript
- License
- Apache-2.0
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2025-01-10
- Last code update
- Not reported
- GitHub stars
- 129
- Evidence checked
- Sep 29, 2026
- Metadata checked
- Sep 29, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
bun run decisions dry-run --provider openrouter --model typesafe/jev-1.13 --limit-evals 2
Evidence commit: 7e003f515b6cb0c10fc5b19229a527e29ac4b2ea
Discovered through: awesome-jev.
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