The Agents CLI Extension System enables developers to use frameworks like LangChain, LangGraph, or custom enterprise stacks while retaining a unified deployment and evaluation workflow. It details a first-party LangChain template that scaffolds, runs, and deploys agents without requiring the Agent Development Kit (ADK). Additionally, it demonstrates how platform teams can author custom extensions to enforce policies such as automated software bill of materials (SBOM) scans during deployment.
Read the original at Google AI developers blog: Powering the Agent Development Lifecycle with any framework, from ADK to LangChain and beyond
How OpenSmartRoute helps
A published score is a starting point, not the answer for one team's prompts. 'osr eval' measures routing accuracy on the team's own data and can fail a build when it drops. The hosted platform adds public rankings built from real traffic, so a number can be checked against what the model does in use.
For a team that routes through the router, a release like this is one catalogue entry. The new model competes on the next request against what the team already runs, on quality, cost and speed. If it answers well it earns more traffic; if it fails it gets less, with no code change in the app.