feat(evaluator): pre-flight Gym config with gym env validate and take overrides as a dict - #1203
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📝 WalkthroughWalkthroughGym runtime execution now uses nested environment overrides, validates configuration before startup, redirects Hydra output, and resolves Gym from a separate PATH environment. Tests cover representative environments and conditional end-to-end rollouts. ChangesGym runtime flow
Sequence Diagram(s)sequenceDiagram
participant AgentEvaluator
participant GymRuntime
participant GymCLI
participant GymAgentTaskRunner
AgentEvaluator->>GymRuntime: configure environment and nested overrides
GymRuntime->>GymCLI: run gym env validate
GymCLI-->>GymRuntime: return validation result and diagnostics
GymRuntime->>GymCLI: run gym env start
GymCLI-->>GymRuntime: provide running environment
AgentEvaluator->>GymAgentTaskRunner: execute evaluation tasks
GymAgentTaskRunner-->>AgentEvaluator: return completed trials and scores
Possibly related PRs
Suggested labels: Suggested reviewers: Mergeability Score: 🟡 Moderate · up to Changing env_overrides from a list to a dictionary may cause existing clients or queued evaluation jobs to be rejected, preventing runs from starting. Compatibility handling or an explicit contract migration is needed before merge. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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In
`@packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/runtimes/gym_runtime.py`:
- Around line 580-588: Update the subprocess creation in the gym validation flow
to pass start_new_session=True, ensuring _terminate targets only the validation
process group and its descendants. Add a timeout test using a forking stub to
verify cleanup does not signal the inherited SDK process group.
- Around line 126-140: Update _hydra_scalar to quote and escape string values
using Hydra override grammar, including strings containing reserved literals,
commas, brackets, quotes, or backslashes; apply the same serialization
recursively to list and tuple elements while preserving None and boolean
spellings. Avoid json.dumps as the escaping mechanism, and add coverage for
reserved values, quotes, backslashes, commas, and bracketed strings.
In
`@packages/nemo_evaluator_sdk/tests/agent_eval/test_gym_environment_coverage.py`:
- Around line 281-282: In the validation test around _gym_cli, replace
_require_environment(gym, case) with _environment_dir(case) so gym env validate
runs without Docker or GPU prerequisite skips. Keep _require_environment
unchanged for the end-to-end test.
- Line 62: Install and use the repository-pinned toolchain, including uv and
pnpm 10.34.5 instead of the currently available pnpm 11.20.0, then run the full
pre-commit suite with `uv run pre-commit run -a`.
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…ess group Three review findings on #1203, all confirmed against the real behaviour. **Hydra's grammar is typed, so unquoted strings were being retyped.** Checked against `hydra.core.override_parser`: `true` parses as a bool, `null` as `None`, `1.5` as a float, `a,b` as a *ChoiceSweep*, and `A[B` fails to parse at all. A caller writing `{"k": "true"}` meaning the string got a boolean. Strings are now single-quoted, which round-trips all of those — verified by generating overrides through `_flatten_overrides` and parsing them back with Hydra itself: thirteen values, all recovering their original value *and* type. Only `'` is escaped. Hydra does not decode `\\` inside a quoted value, so escaping backslashes doubles them; they pass through raw. A value ending in a backslash cannot be expressed at all — it escapes the closing quote — so that raises rather than emitting something unparseable. **`gym env validate` ran in our own process group.** `_terminate` resolves the group with `os.getpgid` and signals it with `killpg`, and `env start` / `eval run` both pass `start_new_session=True` — validate did not. A validate timeout would therefore have signalled the SDK's own process group. It now leads its own session like the other two. **The validate test skipped on execution prerequisites.** It called `_require_environment`, which gates on Docker and a GPU — neither of which `gym env validate` needs, since it starts nothing. `wmt_translation`'s config went unvalidated on any machine without an NVIDIA card, which is the whole fleet until the GPU runner lands, discarding exactly the offline coverage this test exists for. It now requires only the environment itself; the end-to-end test keeps the full prerequisite check. The sweep goes from four validated environments to five. Signed-off-by: Sandy Chapman <schapman@nvidia.com>
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…ess group Four review findings on #1203, all confirmed against the real behaviour. **Hydra's grammar is typed, so unquoted strings were being retyped.** Checked against `hydra.core.override_parser`: `true` parses as a bool, `null` as `None`, `1.5` as a float, `a,b` as a *ChoiceSweep*, and `A[B` fails to parse at all. A caller writing `{"k": "true"}` meaning the string got a boolean. Strings are now single-quoted, which round-trips all of those — verified by generating overrides through `_flatten_overrides` and parsing them back with Hydra itself: thirteen values, all recovering their original value *and* type. Only `'` is escaped. Hydra does not decode `\\` inside a quoted value, so escaping backslashes doubles them; they pass through raw. A value ending in a backslash cannot be expressed at all — it escapes the closing quote — so that raises rather than emitting something unparseable. **A dict reached through a list fell through to `str()`.** Jash's question, and it holds: `_flatten_overrides` recurses into a mapping that is a value, so a mapping inside a *container* — `{"a": [{"b": 1}]}` — never got there and was serialized by Python's repr. Hydra rejects that outright, since its `dictKey` rule has no quoted form: `++a=[{'b': 1}]` is a parse error. Mappings are now rendered inline as `{key:value,...}`, recursing through `_hydra_scalar` so the typed spellings hold at any depth. Bare keys are what the grammar allows, which leaves them to the lexer, and it types them: `{true:1}` keys on the boolean `True`, `{1.5:1}` on a float. Worse, `{b:c:1}` parses as `{'b': 'c:1'}` — reinterpreted, and silently. Keys are therefore restricted to a conservative shape and anything else raises, rather than keying a config on something the caller did not write. An empty mapping was dropped on the same path: recursing into it emits no leaves, so `{"a": {}}` set nothing and the run silently kept the config's own value. It now emits `++a={}`, which clears the subtree. **Redaction did not walk lists.** `_redact_env_overrides` recursed only into mappings that were direct values, so `{"models": [{"api_key": "sk-..."}]}` reached `RunnerInfo.config` — persisted into the run bundle — in the clear. The list index contributes no path segment: what marks a value as a credential is the key it sits under, not where in a list it falls. A credential-shaped key still wins over descending into it, so `{"api_keys": [...]}` redacts wholesale. **`gym env validate` ran in our own process group.** `_terminate` resolves the group with `os.getpgid` and signals it with `killpg`, and `env start` / `eval run` both pass `start_new_session=True` — validate did not. A validate timeout would therefore have signalled the SDK's own process group. It now leads its own session like the other two. **The validate test skipped on execution prerequisites.** It called `_require_environment`, which gates on Docker and a GPU — neither of which `gym env validate` needs, since it starts nothing. `wmt_translation`'s config went unvalidated on any machine without an NVIDIA card, which is the whole fleet until the GPU runner lands, discarding exactly the offline coverage this test exists for. It now requires only the environment itself; the end-to-end test keeps the full prerequisite check. The sweep goes from four validated environments to five. The container serialization is verified the same way as the quoting: emitted overrides parsed back with Hydra, checking key and value survive across dicts-in-lists, backslashes, embedded quotes, interpolation, and the empty dict. Each new test was mutation-checked — dropping the empty-mapping guard, the mapping branch, or the list walk fails those tests and nothing else. Signed-off-by: Sandy Chapman <schapman@nvidia.com>
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…ke overrides as a dict
Three changes to the Gym runner, all about making its preconditions checkable
before a run commits to anything.
**Validate before starting.** `_run_two_step` now runs `gym env validate` with
the identical selection arguments it is about to pass to `gym env start`, and
fails with Gym's own report if the config is rejected. Gym does not publish what
configuration an environment requires — the typed `*ResourcesServerConfig`
classes cover behavioural knobs, while model wiring lives in each environment's
YAML under names that vary per environment — so validate is the only way to find
out short of running. It merges configs, flags, and overrides and reports unset
`???` values, bad paths, and dangling cross-references without Ray and without
starting a server, in about a second.
The alternative is what we had: a config mistake surfaces after a Ray cluster and
several uvicorn servers are up, as a readiness timeout of up to
`startup_timeout_s` (240s) whose message says nothing about the cause. Sweeping
five environments found two real problems this way in under a minute, one of them
in this runner: `gdpval` registers its resources-server as
`gdpval_resources_server`, not `gdpval`, so `bind_resources_server`'s assumption
that the two names match does not hold for it.
**`env_overrides` becomes a nested dict.** It was `list[str]` of pre-serialized
Hydra arguments. These runner configs become serialized job specs when Gym runs
as a governed platform job, and `"+a.b.c=${d}"` is a string that only means
something to Hydra, whereas `{"a": {"b": {"c": "${d}"}}}` is JSON. Flattening to
Hydra's grammar now happens at invocation. Leaf rendering is explicit about
`None` -> `null` and booleans -> `true`/`false`, which naive `str()` would have
written as the literal strings `"None"` and `"True"`; interpolations pass through
untouched. Redaction moved with it and now matches on the full dotted path, so
nesting cannot hide a credential behind an innocuous leaf name.
**Hydra run directories are redirected.** Gym is a Hydra app and writes a
timestamped run directory per invocation, defaulting to `outputs/<date>/<time>/`
under the current directory. Since the subprocesses inherit this process's cwd so
Gym can find `env.yaml`, the default littered whatever directory the caller ran
from. `hydra.run.dir` now points under the run's work dir. Note this applies to
every Gym entry point, `gym list` included.
Also corrects the missing-CLI message. It said `pip install nemo-gym` into this
environment, which cannot work: Gym imports Ray at module load and nemo-platform
excludes Ray by constraint over an unfixed CVE (root pyproject,
`"ray; sys_platform == 'never'"`). Gym has to live in its own environment with
its `bin` on PATH.
Adds `test_gym_environment_coverage.py`, which drives the real CLI against five
environments spanning Gym's dependency and wiring categories. Validate tests need
no endpoint or credentials and run anywhere Gym is installed; rollout tests skip
unless an endpoint is configured. `gdpval` carries the five overrides a caller
must supply for it, with the two Gym conventions it breaks written down rather
than papered over in the runner — guessing would make the runner wrong for the
environments that do follow the convention.
BREAKING CHANGE: `GymRuntimeConfig.env_overrides` is now `dict[str, Any]` of
nested config rather than `list[str]` of Hydra arguments. `["+a.b=1"]` becomes
`{"a": {"b": 1}}`.
Signed-off-by: Sandy Chapman <schapman@nvidia.com>
…zation The pre-flight and the dict conversion shipped with no test touching them: `_validate_config`, `_gym_executable`, and the Hydra redirect had zero references, `_hydra_scalar` none, and nothing drove `_run_two_step`. What was verified was the CLI equivalent — the coverage sweep shells out to `gym env validate` itself — so the runner code that calls it had never run. Extracts `_selection_args` out of `_run_two_step` so the property the comment claims is testable: validate and start receive identical arguments. Adds nine tests covering Hydra leaf spellings (`None` -> `null`, booleans, sequences, interpolation pass-through), `++` forcing paths, the resources-server binding both on and off, the Hydra redirect, `_validate_config`'s argv and log on success and its raise-with-Gym's-report on failure, and `_gym_executable`'s guidance when the CLI is absent. `_validate_config` is driven against a stub `gym` that records its argv and exits how the test wants, so it needs no Gym install. Checked by mutation rather than by coverage: deleting the Hydra redirect fails only the redirect test, and dropping the `None` -> `null` branch fails only the scalar test. Signed-off-by: Sandy Chapman <schapman@nvidia.com>
…ess group Four review findings on #1203, all confirmed against the real behaviour. **Hydra's grammar is typed, so unquoted strings were being retyped.** Checked against `hydra.core.override_parser`: `true` parses as a bool, `null` as `None`, `1.5` as a float, `a,b` as a *ChoiceSweep*, and `A[B` fails to parse at all. A caller writing `{"k": "true"}` meaning the string got a boolean. Strings are now single-quoted, which round-trips all of those — verified by generating overrides through `_flatten_overrides` and parsing them back with Hydra itself: thirteen values, all recovering their original value *and* type. Only `'` is escaped. Hydra does not decode `\\` inside a quoted value, so escaping backslashes doubles them; they pass through raw. A value ending in a backslash cannot be expressed at all — it escapes the closing quote — so that raises rather than emitting something unparseable. **A dict reached through a list fell through to `str()`.** Jash's question, and it holds: `_flatten_overrides` recurses into a mapping that is a value, so a mapping inside a *container* — `{"a": [{"b": 1}]}` — never got there and was serialized by Python's repr. Hydra rejects that outright, since its `dictKey` rule has no quoted form: `++a=[{'b': 1}]` is a parse error. Mappings are now rendered inline as `{key:value,...}`, recursing through `_hydra_scalar` so the typed spellings hold at any depth. Bare keys are what the grammar allows, which leaves them to the lexer, and it types them: `{true:1}` keys on the boolean `True`, `{1.5:1}` on a float. Worse, `{b:c:1}` parses as `{'b': 'c:1'}` — reinterpreted, and silently. Keys are therefore restricted to a conservative shape and anything else raises, rather than keying a config on something the caller did not write. An empty mapping was dropped on the same path: recursing into it emits no leaves, so `{"a": {}}` set nothing and the run silently kept the config's own value. It now emits `++a={}`, which clears the subtree. **Redaction did not walk lists.** `_redact_env_overrides` recursed only into mappings that were direct values, so `{"models": [{"api_key": "sk-..."}]}` reached `RunnerInfo.config` — persisted into the run bundle — in the clear. The list index contributes no path segment: what marks a value as a credential is the key it sits under, not where in a list it falls. A credential-shaped key still wins over descending into it, so `{"api_keys": [...]}` redacts wholesale. **`gym env validate` ran in our own process group.** `_terminate` resolves the group with `os.getpgid` and signals it with `killpg`, and `env start` / `eval run` both pass `start_new_session=True` — validate did not. A validate timeout would therefore have signalled the SDK's own process group. It now leads its own session like the other two. **The validate test skipped on execution prerequisites.** It called `_require_environment`, which gates on Docker and a GPU — neither of which `gym env validate` needs, since it starts nothing. `wmt_translation`'s config went unvalidated on any machine without an NVIDIA card, which is the whole fleet until the GPU runner lands, discarding exactly the offline coverage this test exists for. It now requires only the environment itself; the end-to-end test keeps the full prerequisite check. The sweep goes from four validated environments to five. The container serialization is verified the same way as the quoting: emitted overrides parsed back with Hydra, checking key and value survive across dicts-in-lists, backslashes, embedded quotes, interpolation, and the empty dict. Each new test was mutation-checked — dropping the empty-mapping guard, the mapping branch, or the list walk fails those tests and nothing else. **`GymRunnerTarget` still declared the old list shape.** Surfaced by CI on the merge, not by this branch: the spec-side mirror landed on main after this branch was cut, and it passes `env_overrides` straight through to `GymRuntimeConfig`. Both sides merge cleanly and each is self-consistent, so the only symptom was a pydantic `dict_type` error on a shape that had validated a moment earlier. The field is now `dict[str, Any]` on the spec model too, the plugin's OpenAPI spec is regenerated, and the resolve test pins the two sides to the same shape. The example README described the old `+key=value` strings; updated. Signed-off-by: Sandy Chapman <schapman@nvidia.com>
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Inline comments:
In `@plugins/nemo-evaluator/openapi/openapi.yaml`:
- Around line 3780-3787: Preserve backward compatibility for the env_overrides
contract used by v2 requests and job responses: update the relevant schemas and
normalization path around Env Overrides to accept both the existing
list-of-strings form and the new nested object form, converting both to the
canonical internal representation. If dual acceptance is not possible, version
or migrate the contract before enabling the object-only schema.
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Summary
Makes the Gym runner's preconditions checkable before a run commits to anything. It now runs
gym env validatebefore starting servers, takesenv_overridesas a nested dict instead of pre-serialized Hydra strings, and stops Gym littering the caller's working directory.Before, a config mistake surfaced only after a Ray cluster and several uvicorn servers were up, as a readiness timeout of up to
startup_timeout_s(240 s) whose message said nothing about the cause. Now it fails in about a second with Gym's own diagnosis.Follows #1196 (merged). Rebased onto
main; the two commits here are the whole diff.Related Issue
Tracked in Linear as AALGO-485. No GitHub issue.
Changes
_run_two_steprunsgym env validatewith the identical selection arguments it then passes togym env start, raising with Gym's report on rejection. Gym does not publish what configuration an environment requires — the typed*ResourcesServerConfigclasses cover behavioural knobs, while model wiring lives in per-environment YAML under names that vary — so validate is the only way to find out short of running. Bounded at 120 s; output captured togym_validate.login the run's work dir.env_overridesis nowdict[str, Any], flattened to Hydra's++a.b=1grammar at invocation. Hydra's grammar is typed, so serialization is notstr(): unquoted,trueparses as a bool,nullasNone,1.5as a float,a,bas a ChoiceSweep, andA[Bdoes not parse at all. Strings are single-quoted (only'escaped — Hydra does not decode\\inside quotes), and a value ending in a backslash raises rather than emitting something unparseable. Interpolations survive quoting, so${policy_base_url}still resolves. Redaction moved with it and matches on the full dotted path, so nesting cannot hide a credential behind an innocuous leaf name.hydra.run.dirredirected under the run's work dir. Gym is a Hydra app and writes a timestamped run directory per invocation, defaulting tooutputs/<date>/<time>/under the current directory; since the subprocesses inherit this process's cwd so Gym can findenv.yaml, the default littered wherever the caller ran from. Applies to every Gym entry point,gym listincluded.pyproject.toml,"ray; sys_platform == 'never'"). Verified —pip install nemo-gymhere yieldsModuleNotFoundError: No module named 'ray'on everygyminvocation. It now says to install Gym in its own environment and put thatbinon PATH._selection_argsextracted from_run_two_step, so "validate and start receive identical arguments" is a property a test can assert rather than a comment to trust.test_gym_environment_coverage.py— drives the real CLI against five environments spanning Gym's dependency and wiring categories.test_gym_runtime.pyfor the pre-flight and override serialization.Type of Change
Quality Gates
Verification
Signed-off-by:traileruv run pre-commit run -apasses, or any blocked checks are identified belowThe new tests were checked by mutation, not by coverage percentage. Deleting the
hydra.run.dirline fails onlytest_selection_redirects_hydra_output_under_the_run_work_dir; dropping theNone → "null"branch fails onlytest_hydra_scalars_use_hydra_spellings_not_python_ones._validate_configis driven against a stubgymthat records its argv and exits how the test wants, so it needs no Gym install and covers both the success path (argv plus log written) and the failure path (raises carrying Gym's report).The coverage sweep against a real Gym install (Gym in its own venv, its
binon PATH):That sweep is what found the
gdpvalcase: it registers its resources-server asgdpval_resources_server, notgdpval, sobind_resources_server's assumption that the two names match does not hold. Deliberately not worked around in the runner — guessing would make it wrong for the environments that do follow the convention. The test records what a caller has to supply instead.Known limitation
The rollout path has not been run end to end. Every
gym env validateinvocation is exercised, and the runner code around it is unit-tested, butvalidate → env start → eval runas a sequence has never executed here: the rollout tests need a reachable model endpoint and skip without one. A stub endpoint that removes that dependency is the next piece of work, tracked under AALGO-485.Pre-commit
10 of 11 hooks pass, run with the repository-pinned toolchain (uv 0.9.14 installed to a temp dir,
mise trust+mise installfor pnpm 10.34.5). That includesRun uv lock with platform uv, which I had previously reported as blocked — it was my toolchain, not the change.The remaining failure is
Run UI lint-staged:Command "lint-staged" not found, because this worktree has never runpnpm installinweb/. Noweb/files in this diff, so the hook has nothing of mine to lint.Worth noting the pin conflict this surfaces: that hook requires uv 0.9.14, while NeMo-Gym's
pyproject.tomlsetsrequired-version = ">=0.9.30". One uv install cannot satisfy both, which matters because this runner shells out to Gym.Summary by CodeRabbit
New Features
Bug Fixes
Tests