jevidence

What Jev does in jevidence

The project describes itself this way: Let Jev judge. Let your code decide. Python issue-routing sandbox with labeled replay, an offline demo, and Kev support. In the Routing & Cost Optimization category, Jev typically decides the task type or difficulty, which local rules then map to a model or agent.

Verification

Verified. We confirmed this repository through the GitHub API and located the code that calls Jev at a pinned commit: view the Jev code ↗. Upstream code changes over time, so check that the file still exists at the current commit before citing it.

Topics

• classifier
• guardrails
• human-in-the-loop
• issue-triage
• jev
• llm
• python
• replay
• typesafe

How Routing & Cost Optimization projects use Jev

Routers that use Jev to classify a task before choosing which model, agent or effort level should handle it. Routing is one of the clearest early wins for Jev because it is cheap, frequent and easy to check.

Related Jev projects in Routing & Cost Optimization

1. hermes-adaptive-effortatostivint/hermes-adaptive-effortOpt-in Hermes plugin using Jev to choose reasoning effort while retaining the conversation model.★ 0
   Python
2. jev-decision-gatewaykuldeepsinh19/jev-decision-gatewayA gateway that asks Jev continue / tool / verify questions and invokes a generative LLM only when policy says generation is needed.★ 0
   TypeScript
3. jev-demominghanminghan/jev-demoA customer-service routing demo that batches Jev questions before following the resulting route.★ 0
   TypeScript
4. jev-codex-hermesAnhAnAsian/jev-codex-hermesExperimental macOS adapter using Jev to select models and reasoning effort for Codex and first-party Hermes.★ 1
   JavaScript
5. jev-researchsherajdev/jev-researchA Jev and Herdr integration guide with a prototype for routing tasks to different Agents.★ 1
   TypeScript
6. pi-model-routeralexei-led/pi-model-routerPi extension for model and reasoning-effort routing with optional, privacy-gated Jev advice.★ 6
   TypeScript

See all 16 Routing & Cost Optimization projects →

Where we found it

• yibie/awesome-jev