docs(evaluator): document the Gym and Fabric runners, fix the runner protocol - #1420
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📝 WalkthroughWalkthroughThe pull request adds NeMo Gym and Fabric evaluation guides, updates runner contracts and metadata guidance, adds navigation, separates Gym environment prerequisites, and corrects the runtime error message to reference ChangesAgent evaluation documentation
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In `@docs/evaluator/agent-eval/gym-runner.mdx`:
- Around line 75-101: Add a CLI alternative beside the existing Python SDK
example in the “Run it” section, using the documentation site’s established
tab-set syntax and the supported command for this Gym evaluator workflow. Keep
the current Python example intact and present both workflows as selectable tabs.
- Line 259: Update the submission example containing client.evaluator.submit to
define runner before it is passed as target, using GymAgentTaskRunner configured
with GymRuntimeConfig; alternatively, explicitly label the block as continuing
earlier setup.
- Around line 21-33: The Gym setup documentation must use a dedicated locked uv
environment instead of pip. Update docs/evaluator/agent-eval/gym-runner.mdx
lines 21-33 and packages/nemo_evaluator_sdk/examples/gym/README.md lines 12-17
to document creating the Gym uv project, using uv add and uv sync, and placing
that project’s .venv/bin on PATH; update both sites consistently.
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In `@docs/evaluator/agent-eval/gym-runner.mdx`:
- Around line 121-135: Update the GymRuntimeConfig field table to document
shutdown_grace_s as the SIGTERM grace period before escalation to SIGKILL, and
clarify that callers must set bind_resources_server=false when using
self-contained agents.
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In `@docs/evaluator/agent-eval/gym-runner.mdx`:
- Around line 285-287: Update the documentation around task naming to state that
task.id may begin with a digit, while preserving the existing 64-character hash
and entity-name constraints.
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In `@docs/evaluator/agent-eval/fabric-runner.mdx`:
- Around line 110-114: Update the StringCheckMetric example in the agent
evaluation documentation to remove the {{sample.output_text}} template
substitution, replacing it with a literal non-substitution value while
preserving the existing contains operation and OK comparison.
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The Gym runner shipped with no documentation. "Gym" appeared nowhere in `docs/`, even though `GymAgentTaskRunner` sits alongside the Callable and Harbor runners in the SDK and `GymRunnerTarget` alongside Codex, Fabric, and Harbor in the job spec. Targets and Runners was also wrong about the one thing readers copy from it. `AgentTaskRunner` is a two-member protocol -- `run_tasks` *and* `runner_info` -- but the page called it "the one-method protocol", showed only `run_tasks`, and its `EchoRunner` example omitted `runner_info`. That example does not work: being `@runtime_checkable`, the protocol rejects the class, and the run dies with `NotImplementedError: unsupported agent-eval target type: EchoRunner`, naming neither the protocol nor the missing method. Fixed, and the failure mode is now stated so the error is searchable. Adds "Evaluate a NeMo Gym Environment" beside the Harbor page, which had the same shape already: an example README in `examples/gym/` and no doc. It covers install and the `PATH` constraint, credentials, task discovery, the config reference, results, output directories, the two-step Gym invocation, and submission as a platform job. Adds "Evaluate with a NeMo Fabric Harness" alongside it. Fabric was the other shipped runner with no documentation at all -- absent from the whole `docs/` tree despite covering four harnesses through one config. The page documents the adapter map, the agent-config shape, the ATIF trajectory that distinguishes this runner, and the sandboxed `FabricContainerRuntime`. Codex and the OpenAI-Agents Docker sandbox are deliberately left undocumented: the Codex runner is being removed in #1419, and `DockerSandboxAgentRuntime` is stranded by the same PR (it existed only as the `sk-...`-key branch of ProfBench's Codex path) and is expected to follow it. The Fabric page is verified the same way: its config and run blocks execute verbatim against a real Fabric -> Codex -> Relay evaluation, producing a completed trial with an `atif` trajectory. That caught two defects in the draft -- `work_dir` needed a `Path`, and the example task declared `metrics=[]`, which the evaluator rejects outright. `FabricContainerRuntime` is documented from source rather than run: its own tests use a fake sandbox provider, so there was nothing live to exercise. Everything here was executed rather than read. A throwaway venv with `nemo-gym` installed ran three live evaluations against mcqa, which caught four errors in my own draft: `agent_config` was `configs/simple_agent.yaml` where the real value is `responses_api_agents/simple_agent/configs/simple_agent.yaml`; `result.summary.scores` does not iterate scores (`.scores.scores` does); `work_dir` needs a `Path`; and the page never showed how to set an output directory at all. The score names, the 0-100 vs 0-1 scale note, and the `gym_run/` artifact list are copied from real output. The taskset-submission block is executed verbatim in review too -- it stores five tasks from the bundled mcqa dataset and the job side rebuilds all five rows from them. The submission snippet was executed verbatim against #1315's branch, and two more traps came out of it: a task cannot be named after `task.id` (a 64-char hash starting with a digit, against a 63-char cap requiring a leading letter), and `GymRewardMetric` is not a built-in type so the inline packager rejects it. Two fixes outside the docs tree, both found while sourcing from the example: `examples/gym/README.md` said to install Gym "in the same environment as the SDK". The source says the opposite, and it is right -- Gym imports Ray at module load and nemo-platform excludes Ray by constraint. Its "Next steps" also linked `runtimes/gym_runtime.py`, which became the `runtimes/gym/` package; split into live links to `config.py` and `runtime.py`. The reuse guard's `FileExistsError` told the caller to "give each run a fresh output_dir". There is no such parameter -- it is `AgentEvalRunConfig.work_dir` -- so the message sent readers looking for an argument that does not exist. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Signed-off-by: Sandy Chapman <schapman@nvidia.com>
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Summary
Two of the SDK's shipped agent-eval runners had no documentation at all. "Gym" and "Fabric" appeared nowhere in
docs/, even thoughGymAgentTaskRunnersits beside the Callable and Harbor runners and Fabric covers four agent harnesses through a single config.The reference page that should have pointed at them was also wrong about the thing readers copy from it most.
The broken example
AgentTaskRunneris a two-member protocol —run_tasksandrunner_info. Targets and Runners called it "the one-method protocol", showed onlyrun_tasks, and itsEchoRunneromittedrunner_info. The protocol is@runtime_checkable, so the class is rejected and the run dies with:which names neither the protocol nor the missing method. Anyone following "write your own when your agent doesn't fit those" hit a dead end with no thread to pull. All three shipped runners implement both members; only the docs example didn't.
Changes
PATHconstraint, credentials, task discovery, config reference, results, output directories, the two-step Gym invocation, and submission as a platform jobFabricRunnerTargetsubmission, and the sandboxedFabricContainerRuntimeEchoRunnerfixed; Gym and both Fabric runtimes added to the At-a-glance table, runner list, and chooser;GymRunnerTargetadded to the target list;Modelgainsdefault_headersandhost_urlexamples/gym/README.mdruntimes/gym_runtime.pylink split into live links toconfig.pyandruntime.py;pipreplaced with the lockeduvworkflowgym/results.pyFileExistsErrorsaid to "give each run a freshoutput_dir". No such parameter exists — it isAgentEvalRunConfig.work_dirCodex and
DockerSandboxAgentRuntimeare deliberately not documented: the Codex runner is removed in #1419, andDockerSandboxAgentRuntimeis stranded by the same PR (it existed only as thesk-...-key branch of ProfBench's Codex path) and is expected to follow it.Type of Change
Quality Gates
Verification
Signed-off-by:traileruv run pre-commit run -apasses, or any blocked checks are identified belowBoth pages were executed, not written from source
Gym: a throwaway
uvenvironment withnemo-gymran three live evaluations against the bundledmcqabenchmark (2 rollouts, 0 failures, rewards 0.0/1.0). Fabric: the page's config, seeded task, run, results, and evidence blocks execute verbatim against a real Fabric → Codex → Relay evaluation.That caught seven defects in my own drafts that source-reading had missed:
agent_config="configs/simple_agent.yaml"— real value isresponses_api_agents/simple_agent/configs/simple_agent.yamlresult.summary.scoresdoes not iterate scores (.scores.scoresdoes)AttributeErrorwork_dirneeds aPath, not astr(twice — both pages)metrics=[]task 'reply-ok' does not declare any metricsenvironment.workspaceworkspacefilesystem tree andinputs["files"]are how you grade produced artifactsScore names, the 0–100 vs 0–1 scale note, the
gym_run/artifact list, and the Fabric evidence table are copied from real output rather than inferred.Targeted validation:
uv run --frozen pytest packages/nemo_evaluator_sdk/tests— 1639 passed, 10 skippeduv run --frozen pytest .../test_gym_runtime.py— 108 passedpytest .../test_fabric_integration.py -k live— 1 passed (real Fabric → Codex → Relay)docs/_scripts/lint_python_snippets.pyon both new pages — 10/10 cleancd docs/fern && npm run check— 0 errors (nav entries and cross-links resolve)tools/lint/lint-sdk-vendored.sh/lint-cli.sh— PASS (make vendorrun; the SDK mirror is in this diff)tools/lint/lint-python-types.sh— 0 errorsuv run pre-commit run -a— ruff, ruff format, ty, copyright headers, uv.lock drift, merge conflicts all pass. Three hooks fail on missing local tooling, none reachable from this change:helm-docsbinary absent;uv-lockwants uv 0.9.14 on a host with 0.9.30;studio-lint-stagedhas nopnpmmise shim.Known limits
FabricContainerRuntimeis documented from source, not run — its own tests use a fake sandbox provider, so there was nothing live to exercise.targets-and-runners.mdx, all pre-existing patterns: the repo-wide bare-stringapi_key_secret, andempty-bodyon the protocol stubs (unavoidable when showing aProtocol). That linter is a manualDOCS_PATH=tool and is not wired into CI.Follow-up
Nothing covers these pages, and the snippet linter structurally cannot catch the
EchoRunnerbug class — it was syntactically valid and nothing annotated it as anAgentTaskRunner, sotyhad nothing to check against. Executable coverage for the runner examples is worth adding separately.🤖 Generated with Claude Code