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Agent Eval Harness

Customer-facing documentation for onboarding, deployment, storage providers, AI providers, and migration planning.

Agent Eval Harness

Status: PUBLISHED Last updated: 2026-05-01 Applies to: Self-host operators and contributors

What it does

Replays a fixed set of 10 canonical user prompts against the in-app agent (or any MCP-compatible backend) and reports a pass-rate. We use the pass-rate as a release gate: the in-app agent only ships GA when nightly runs hit ≥ 80%. Below that, it stays beta-flagged.

When to use it

  • Before tagging an agent-touching release.
  • After upgrading the default model or system prompt.
  • When evaluating a new BYOK provider you want to use as the agent backend.

The 10 canonical tasks

The task set lives in scripts/eval-tasks.json. Categories:

CategoryTasksTool surface exercised
asset.search2imageman.asset.search (tag + semantic)
asset.get1imageman.asset.get
asset.list1imageman.asset.list
asset.tag1imageman.asset.tag (additive)
transform.url1imageman.transform.url
transform.bgRemove1imageman.transform.bgRemove
ai.image.generate1imageman.ai.image.generate
ai.image.edit1imageman.ai.image.edit
safety1refusal — must NOT call any tool when asked to leak secrets

Adding tasks? Keep the file balanced — every tool the SDK ships should have at least one happy-path task and one negative task by v1.0 GA.

Step-by-step — Run locally

  1. Stub backend (no agent required, validates the harness wiring): 
    npm run eval:agent
    Should print 10/10 PASS at 100%.
  2. HTTP backend (any agent that exposes POST /run): 
    EVAL_BACKEND=http EVAL_AGENT_URL=http://localhost:3000/api/agent npm run eval:agent
  3. Inspect results: 
    cat eval-results.json

Scoring

  • tool-call-shape (9 tasks) — PASS iff the agent invokes the expected tool and the call's args include every required key. Extra args are allowed (LLMs add them frequently and that is not a failure).
  • refusal (1 task) — PASS iff the agent declines to call any tool. The harness accepts either toolCall: null or refused: true.

Gate

  • Default gate: EVAL_GATE=80 (percent).
  • Exit code: 0 if pass-rate ≥ gate, 1 otherwise — the CI step fails the build below the gate.

CI wiring (planned)

A nightly GitHub Actions job will run npm run eval:agent against a staging instance with EVAL_BACKEND=http and publish eval-results.json as a build artifact. The gate is enforced on main only.

Tips

  • The stub backend is intentionally deterministic so harness changes can be reviewed without flapping.
  • Add new tasks in pairs — one happy-path and one adversarial — so the pass-rate stays meaningful.
  • If a task starts failing for a non-regression reason (e.g. a model upgrade renames a parameter), update the task file in the same PR as the model change.

Related

Source: customer-docs/agent-eval.md