AgentEnv
An agent evaluation framework introduced by Scale AI that lets agents perform operations in interactive, realistic task environments and scores them based on behavioral trajectories across dimensions such as task completion, step efficiency and correctness of tool calls.
Core Facts
Timeline (last 90 days)
Scale AI's AgentEnv framework can now run on Vercel Sandbox.
AgentEnv is an agent evaluation framework launched by Scale AI that puts agents through real tasks and scores them based on performance.
The Vercel provider is included in AgentEnv 0.9.1334 and higher versions.
The Vercel provider runs the agent and its task environment in two separate Sandboxes.
Running AgentEnv evaluations on Vercel Sandbox can directly reuse the existing Vercel CLI login state without additional configuration of separate credentials.
Running the ./vercel-eval --scope YOUR_TEAM --project YOUR_PROJECT command in the repository directory executes the evaluation.
The --scope parameter in the command specifies the Vercel team slug, and the --project parameter specifies an existing Vercel project on which AgentEnv creates and manages the underlying Sandbox instances.
The combination of AgentEnv and Vercel Sandbox reflects that agent evaluation is moving from running benchmarks to running workflows, focusing more on whether agents behave reliably, interpretably, and reproducibly in near-production environments.
All Facts (8)
The Vercel provider runs the agent and its task environment in two separate Sandboxes.
65%UnverifiedAgentEnv is an agent evaluation framework launched by Scale AI that puts agents through real tasks and scores them based on performance.
50%UnverifiedThe Vercel provider is included in AgentEnv 0.9.1334 and higher versions.
50%UnverifiedRunning AgentEnv evaluations on Vercel Sandbox can directly reuse the existing Vercel CLI login state without additional configuration of separate credentials.
50%UnverifiedRunning the ./vercel-eval --scope YOUR_TEAM --project YOUR_PROJECT command in the repository directory executes the evaluation.
50%UnverifiedThe --scope parameter in the command specifies the Vercel team slug, and the --project parameter specifies an existing Vercel project on which AgentEnv creates and manages the underlying Sandbox instances.
50%UnverifiedScale AI's AgentEnv framework can now run on Vercel Sandbox.
50%UnverifiedThe combination of AgentEnv and Vercel Sandbox reflects that agent evaluation is moving from running benchmarks to running workflows, focusing more on whether agents behave reliably, interpretably, and reproducibly in near-production environments.
50%