opencode-jev-orchestrator GitHub avatar by aaronshaf

aaronshaf /

Routing & Cost Optimization

opencode-jev-orchestrator

An OpenCode orchestrator that keeps a cheap sticky parent model and, when Jev flags a hard turn, escalates through a child subagent.

License: MITLanguage: TypeScriptLast push: 9/18/2026#llm-routing-cost#coding-agents

What Jev Does in this Architecture

Scores task, reasoning, and tool complexity, then chooses fast / balanced / strong / long; local policy stays, escalates, or fans out.

Key Architecture Benefit

Keeps a cheap sticky parent model and opens a stronger child only when Jev flags a hard turn.

Review & Benchmark Note: Source code verified against pinned commit. Core routing and subagent dispatching verified; synthesis quality depends on task boundaries.
Clone Repository
git clone https://github.com/aaronshaf/opencode-jev-orchestrator.git

Inspect on GitHub

Check out the upstream repository README, issues, and commit log.

aaronshaf/opencode-jev-orchestrator

Architecture Category

Routing & Cost Optimization

Complexity-based request routing to tier generative models and optimize token spend.

View all in this category →

Related Projects in Routing & Cost Optimization

53
Routing & Cost OptimizationMITPython

Uses Jev to classify each Codex turn, then applies local rules to choose the model, reasoning effort, and speed mode.

What Jev does here

Classifies task difficulty and reasoning needs before local policy selects a model configuration.

Keeps routing policy and decision logs local for inspection and tuning.

#llm-routing-cost#coding-agents
53 evidence links
Inspect details
jev-research repository icon by sherajdev

sherajdev

jev-research

1
Routing & Cost OptimizationMITTypeScript

A Jev and Herdr integration guide with a prototype for routing tasks to different Agents.

What Jev does here

Uses task and repository state to choose an executor and assess risk and dispatch readiness.

Provides a readable, editable example of multi-Agent task routing.

#llm-routing-cost#typed-decisions
2 evidence links
Inspect details
jev-demo repository icon by minghanminghan

minghanminghan

jev-demo

0
Routing & Cost OptimizationMITTypeScript

A customer-service routing demo that batches Jev questions before following the resulting route.

What Jev does here

Assesses classification levels, human-handoff intent and frustration, with low-confidence escalation.

Combines routing and human handoff while leaving response generation to the application.

#domain-workflows#classification-ranking
4 evidence links
Inspect details