AgentScope
Alibaba's AgentScope 2.0 agent framework, which added a JevClassifierModel for binary, choice and score decisions via the TypeSafe SDK.
Overview
AgentScope 2.0 is a production-oriented agent framework from the agentscope-ai team that leans on models' reasoning and tool use rather than rigid orchestration. Recent releases added realtime voice, SOPs, a TeamPipeline for leader-member delegation, model routing middleware, A2A support and more.
In September 2026 it added Jev classifier support through the TypeSafe SDK via JevClassifierModel. The list summary describes this as native Jev classification for binary, choice and score routing across agent pipelines, so a pipeline can make typed decisions rather than prompting a chat model. The same release window added ModelRouterMiddleware for choosing a chat model per reply, TeamPipeline delegation from a leader agent to members, SOP support and A2A agents.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Choice | Which branch or agent should handle this step of the pipeline?(inferred) | — |
| Yes / no | Binary routing check within a pipeline(inferred) | yes · no |
How it works
- Configure JevClassifierModel with a TypeSafe key
- Use it inside a pipeline or routing step
- Receive typed probabilities
- Route the pipeline accordingly
Strengths
- First-class integration in a widely used framework
- Typed decisions alongside chat models
Caveats
- Jev is one small integration among many features
- Requires TypeSafe access
Getting started
See docs.agentscope.io and use JevClassifierModel via the TypeSafe SDK.At a glance
- Type
- Project
- Status
- production
- Language
- Python
- Runtime
- agent framework
- Has code
- yes
- Has tests
- yes
- License
- Apache-2.0
Use cases and integrations
How curated lists describe it
Multi-agent platforms: multi-agent platform by Alibaba implementing native TypeSafe Jev classification models for binary, choice, and score routing across agent pipelines.
yibie/awesome-jev
Frequently asked questions
How do I use Jev in AgentScope?
Through JevClassifierModel, which wraps the TypeSafe SDK.
What question types are supported?
Binary, choice and score, per the listing.
When was it added?
The news section lists it in September 2026.
Related projects
Open-source team agent platform for Slack, GitHub and more that asks Jev once per session which agent runtime and model to use.
ServicebetaTypeScriptPolicy-driven router that sends each LLM request to the cheapest capable model tier, escalating when Jev finds a reason.
ProjectbetaTypeScript, PythonLangGraph decorator that lets Jev take routing decisions it is confident about and falls back to your existing LLM router otherwise.
LibrarybetaPythonVerifiable coding-agent runtime built on checkable execution graphs, listed with an optional Jev provider for bounded choices like routing.
ServiceproductionTypeScriptLangChain's Python framework, which includes an optional TypeSafeClassifier runnable plus model-routing and risky-tool middleware using Jev.
PluginproductionPythonLangChain.js, which includes an optional TypeSafeClassifier runnable and middleware for bounded routing and tool-call checks with Jev.
PluginproductionTypeScript