Skip to main content
An Agent Environment is where an agent executes actions and receives observations. It may run beside training or in a remote service. A taskset supplies work and a verifier judges completion; neither is the execution environment itself. For independently published Harbor tasks and evaluation preparation, see Tasksets and Agent evaluations. This page lists environment versions you may reference. The current publication format associates a taskset and verifier with an environment manifest. That packaging does not make these the same concept. The detail page separates execution settings from associated tasks and verification.
TunePlane environments page

Agent environments and what each manifest declares.

What you see

The taskset is never shown, and no route returns it. What a business considers hard is often more revealing than its training data, so a job references an environment and receives task content only inside the approved runtime.

What you can do

  • Reference one in a job — copy its <owner>/<name>@<version> and pass --environment.
  • Publish a version — tp env push, see authoring environments.
  • Register a running service — tp env runner register, for an OpenEnv service you already operate.

Supported combinations

Manifest schema tuneplane/environment/v1 requires both fields. Remote and container deployments own their task data; the page does not offer local taskset inspection or selection for them.

Environment quality

Select an immutable version to inspect Environment quality. The owner and administrators can see acceptance fixtures and frozen-policy measurements reported by that owner’s jobs. These are producer declarations, not platform certification or a replacement for Fleet readiness checks.
  • Acceptance shows known correct/incorrect answers and verifier execution. A sandbox-required manifest additionally requires allowed/blocked network access and reference-isolation fixtures. Missing checks and execution errors remain unverified.
  • Suitability separates unmeasured tasks, incomplete/invalid trials, all-success, mixed and all-failure outcomes. Source coverage always includes the full declared split. Retries count once, using the last retry. The 95% Wilson interval describes the scored observations; it does not establish intrinsic task difficulty, learning value or cross-model comparability.
  • A training measurement with passing, current acceptance can Preview selection and Publish derived version. Keep mixed outcomes or all fully scored tasks, set a minimum of two repetitions, and optionally retain exploration tasks from every remaining source. Fractions round up per source. Invalid or unmeasured tasks are never eligible for this selection.
The preview states the kept/excluded training counts, per-source selection, and preserved evaluation count. Changing a control invalidates the preview. Publication creates an immutable version with the parent, measurement job/report, checkpoint, protocol digest and selection rule recorded as lineage. Every evaluation row is preserved; evaluation measurements cannot select training tasks. Existing jobs retain their original version pins. No prompt, reference answer or taskset download is exposed. This release supports sealed local tasksets up to 32 MiB and reports up to 10,000 trial records, with 1–64 planned repetitions. The page lists the latest 50 reports and pages task metadata in batches of 50. Remote services without a stored taskset need their own measurement adapter and cannot use this derivation workflow. See producing quality evidence.

Framework, protocol and provider

Harbor organizes agent task execution and evaluation into trials, using task packages, agent implementations, sandbox backends and verifiers. OpenEnv provides an environment interaction framework built around reset, step and state, including hosting tools. E2B is a sandbox provider with its own lifecycle APIs. These are not three interchangeable values of one protocol field. A Harbor evaluation can use its native sandbox backend without OpenEnv. An OpenEnv training or evaluation loop can connect to an existing environment without Harbor. Combining them requires an explicit adapter and one owner for episode creation, reset, timeout and cleanup. TunePlane’s generic HTTP POST /execute adapter does not directly implement the native E2B API. See Harbor concepts, OpenEnv and E2B sandbox APIs.