feat(evaluator): expose per-task attempts with trial identity

[ngoncharenko]

Summary

• Why: the run summary only published cross-task averages and pass@k. Answering "which tasks were flaky, and which attempt failed?" meant re-deriving it by hand from the flat task × trial × metric score list.
• What: adds AgentEvalSummary.task_metric_attempts — the ordered attempts per task and metric output — and persists it to summary.json.
• Each attempt names the trial that produced it, so it joins across metric outputs and out to trials.jsonl:

"task-47": { "harbor_reward.reward": [
  { "trial_id": "task-47__7f3a9c", "value": 1.0, "value_type": "number" },
  { "trial_id": "task-47__1b8e42", "value": null, "value_type": "missing" }
]}

Important notes

• value: null = the trial died before scoring — an attempt that did not pass. A failed metric leaves no entry at all: unmeasured, not unsuccessful.
• pass@k now derives from that same mapping instead of a second walk over the scores, so the per-attempt view and the published pass@k cannot drift apart. Aggregates are unchanged.

Related Issue

• AALGO-310 (P3.1) — this is the deliverable.
• Unblocks AALGO-441 (P3.4, Harbor reward_stats) and AALGO-428 (P3.2, exception rollup).

How this change moves us closer to Harbor parity

Target shape: AgentDatasetStats — Harbor's per-dataset aggregate, the thing summary.json has to be able to reproduce. Per-trial source is VerifierResult.rewards; it is populated by JobStats.increment as reward_stats.setdefault(value, []).append(trial_result.trial_name).

Harbor field	Status	From
pass_at_k	✅	summary.score("<metric>.<output>.pass@k").mean — pre-existing
reward_stats	✅ new	task_metric_values — trial ids + raw floats
n_trials	✅	summary.trial_count
n_errors	✅ newly possible	distinct trial_id where value is None
exception_stats	❌	needs the exception type → AALGO-428

• The unlock — Harbor groups by trial_name; we grouped by task_id. harbor_runtime already stamps trial_name onto AgentEvalTrial.id, so carrying trial_id on each attempt makes the shapes the same, not merely similar:

# Harbor's real reward_stats, from summary.json alone — no re-walk of result.scores
for attempt in attempts:
    stats.setdefault(attempt.value, []).append(attempt.trial_id)
# -> {"reward": {1.0: ["alpha__a", "beta__a", "beta__b"], 0.0: ["alpha__b", "gamma__a"]}}

• Two divergences closed — grouping key (trial_name, not task_id) and inner key type (raw float | int, not stringified). Pinned by test_harbor_reward_stats_is_derivable_from_summary_task_metric_attempts.
• n_errors needs the trial id specifically — one dead trial contributes a null to every metric key, so a naive count over-counts by the number of metrics. Deduping requires identity.
• Caveats, so this doesn't overclaim — pass_at_k matches in content but not shape (Harbor keys {k: float}, we emit named aggregates), and n_errors is derivable but not implemented.

Why attempts carry an id but no ordinal

Worth stating, since "shouldn't each attempt have an index?" is the obvious review question:

• Harbor has no attempt ordinal to carry. It expands n_attempts by discarding the loop index — job.py:416: for _ in range(self.config.n_attempts) — and runs the repeats concurrently (job.py:129). Each repeat gets a fresh random trial_name. There is no first attempt.
• That is a feature, not a gap. Exchangeable repeats are exactly what the unbiased pass@k estimator assumes — _pass_at_k(n, c, k) is a function of counts and never of position. An ordinal would imply an ordering the runs do not have.
• So identity does the work, not order. For Harbor the list position is sorted(glob("*/result.json")) over a random suffix, i.e. arbitrary; trial_id is the only meaningful handle, which is why it is carried rather than parsed. For contrast, the experimentalist's _trial_attempt recovers the ordinal by parsing the trial-name suffix, which isdigit()-fails against Harbor's ShortUUID — so it returns None on every real Harbor run (verified against a live n_attempts=2 job: hello-world__4c3VrKY, hello-world__NXRG3pE).
• The one case where an ordinal would be real: retries. A retried trial is causally after the one it replaces, unlike a parallel repeat. Harbor counts retries only at job level (JobStats.n_retries) and its per-trial TrialResult carries no retry field, so "did the retry do better?" is a gap in Harbor's model — not something the evaluator can synthesize. Flagging it in case it matters later.

Follow-ups

• AALGO-441 (P3.4) — unblocked. reward_payload_from_result still walks result.scores and emits the legacy task-keyed, stringified shape; rewiring it onto the summary is now mechanical.
• AALGO-428 (P3.2) — exception_stats is the last gap. With trial_id present it's a join against trials.jsonl (already in the bundle), not a schema change. Recommend it first add a typed error to AgentEvalTrial, replacing the untyped metadata["exception_type"] convention.

What to review

• _task_metric_attempts in agent_eval/results.py — the core. Docstring carries an in → out worked example; the two bullet lists map 1:1 onto the branches below them.
• The asymmetry is deliberate — a failed trial is value: null (counted in n); a failed metric is no entry (kept out of n, so a judge timeout is never charged to the agent). Most likely thing to get wrong later.
• Why a list of records, not a dict keyed by trial_id — persistence.py writes with sort_keys=True (would reorder attempts lexicographically), and nothing enforces trial-id uniqueness, so a dict would collapse two attempts into one and silently drop pass@k's n. Pinned by test_duplicate_trial_ids_are_two_attempts_not_one.
• AgentEvalAttemptValue is frozen, and value has no default — both guard the same class of silent corruption:
  • Frozen: the summary hands these out by reference, so a consumer rescaling in place (Gym reports reward on 0-100 where we use 0-1) would rewrite the run's own results, and a later persist would save the rewrite.
  • Required value: None means "the trial died" and pass@k counts it toward n, so a record that merely omits the key must not quietly become a failed attempt. Explicit "value": null still works.
• nan_count semantics — test_a_task_that_produced_no_trial_is_unmeasured_and_counted_in_pass_at_k_nan. Previously such a task was absent from the denominator; now reported as missing coverage. Means unaffected. Note this is a from_scores path only — a full run still fails loudly on a trial-less task, and this PR deliberately does not relax that guard.
• Schema exclusions are keyed by task — the flat set in the first commit let one task's declaration suppress another task's output. Worth a look if you think exclusions should instead be run-global.
• Exception type deferred to AALGO-428 — the only source is untyped trial.metadata["exception_type"] that only Harbor stamps, and exception_type already means two opposite things in this codebase. With trial_id present it becomes a join against trials.jsonl.

Changes

• New field — task_metric_attempts: dict[task_id, dict["<metric_type>.<output>", list[AgentEvalAttemptValue]]], where AgentEvalAttemptValue = {trial_id, value}.
• pass@k reads it through a one-line projection — values_by_task = [attempt_values(outputs[key]) ...]. Everything below it (measured, unmeasured, max_n, _pass_at_k) is byte-identical.
• Retention follows the declared schema — continuous/discrete/boolean kept; labels and free models dropped even when the emitted value is numeric. With tasks=None there are no specs to filter on, so every numeric output observed is kept.
• Coverage change — a task that produced no trial now lands in pass@k nan_count instead of silently shrinking the denominator. Reachable only via AgentEvalSummary.from_scores called directly with a task list wider than the scores; a full run cannot get here, because _score_trials refuses to score when a task produced no trial (test_run_rejects_tasks_without_trials).
• Harbor parity unlocked — trial_id is Harbor's trial_name (_trial_from_harbor_result stamps it), so Harbor's own reward_stats is rebuildable from the summary alone. See the parity section above.
• Schema exclusions are per task — one task declaring an output under an unretained schema must not strip it from another task that never declared it. Tasks in one run need not agree on an output's schema.
• NaN survives JSON — this is the first summary field carrying a raw metric value rather than a filtered aggregate, so a NaN score would have been written as a bare NaN token and made summary.json unparseable by strict readers. Serialized as "NaN", matching MetricOutput; round-trips back to a float.
• Single pass over scores — grouped by (task_id, metric_type) once, replacing a per-task/per-key rescan.
• Example rewritten — gym inspect_results.py reads the summary directly; per_task_outcomes keeps its bare-value shape, new per_task_attempts exposes the records. It now rejects a bundle predating the field rather than loading it and silently showing no per-task section.
• Vendored SDK copy regenerated via make vendor, pinned byte-exact by a test.

---

Type of Change

• Code change (feature, bug fix, or refactor)
• Code change with documentation updates
• Documentation only
• Contributor tooling or automation
• CI, build, or test infrastructure

Quality Gates

• Tests added or updated for changed behavior
• Existing tests cover changed behavior — justification:
• Tests not applicable — justification:
• Documentation updated for user-visible behavior
• Documentation not applicable — justification:

Verification

• Pull request title follows the repository's Conventional Commit format
• Every commit includes an appropriate Signed-off-by: trailer
• uv run pre-commit run -a passes, or any blocked checks are identified below
• Targeted tests pass, or tests are marked not applicable above
• No secrets, API keys, or credentials are included

Targeted validation:

Command	Result
pytest packages/nemo_evaluator_sdk/tests (live/docker deselected)	1496 passed
pytest packages/nemo_evaluator_sdk/tests/agent_eval (live/docker deselected)	588 passed
pytest .../test_task_metric_attempts.py	18 passed
pytest plugins/nemo-evaluator/tests plugins/nemo-optimization/tests	849 passed, 22 skipped
uv run ruff check packages/nemo_evaluator_sdk	passed
uv run ruff format --check packages/nemo_evaluator_sdk	passed (232 files)
uv run --frozen ty check <changed files>	9 diagnostics, all pre-existing (12 at HEAD)
make vendor	mirror only; byte-exact test passes
end-to-end: real Harbor bundle → persist_run → inspect_results	records in summary.json; per-task output unchanged

pass@k invariance — a golden {name: (mean, count, nan_count)} table was captured from the pre-change implementation before the producer was touched, over a fixture covering every branch (always-passes, dead trial, metric-raised, two never-measured). Post-change it compares identical, and is pinned by test_pass_at_k_aggregates_are_unchanged_by_carrying_trial_ids.

Not passing / not run:

• uv-lock pre-commit hook: needs uv 0.9.14 to match CI; local toolchain is 0.9.30. Environment mismatch, not from this PR — no pyproject.toml is touched, and uv-lock-check passes.
• Live/e2e suites: test_harbor_runtime_e2e.py, test_codex_runtime_live.py, test_sandbox_docker_provider_live.py, test_sandbox_compose_provider_live.py need Docker and provider credentials.

Summary by CodeRabbit

New Features

• Added typed trial results for numeric, boolean, label, missing, and failed-trial values.
• Added per-task outcome views, trial IDs, and numeric value access.
• Harbor examples now support configurable attempt counts and job names.
• Gym evaluations can limit the number of tasks processed.

Bug Fixes

• Improved result validation, persistence, and failure handling.
• Updated pass@k calculations for unmeasured outputs and failed trials.
• Added clear handling for invalid or outdated result bundles.

Documentation

• Expanded result-reading guidance with value formats and failure semantics.
• Updated the Gym results inspector to display task outcomes and aggregates.

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---

📝 Walkthrough

Walkthrough

The SDK now stores typed, trial-linked metric values, reuses them for pass@k, persists them in summary.json, and exposes typed task outcomes. Gym and Harbor examples gain result-reading and runtime options. Compose fixtures reuse providers across evaluations.

Changes

Task metric value handling

Layer / File(s)	Summary
Typed result contracts packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/results.py	Adds typed trial records, per-task outcome views, native value preservation, schema filtering, and task_metric_values storage.
Collection and pass@k aggregation packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/results.py, packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/scores.py, packages/nemo_evaluator_sdk/tests/agent_eval/test_pass_at_k.py	Collects trial-linked values once, distinguishes failed trials from failed metrics, and computes pass@k from numeric projections.
Metric value validation packages/nemo_evaluator_sdk/tests/agent_eval/test_task_metric_values.py	Tests value types, trial IDs, missing values, schema filtering, JSON round-tripping, projections, task outcomes, and pass@k behavior.
Persistence and Harbor reconstruction packages/nemo_evaluator_sdk/tests/agent_eval/test_persistence.py, packages/nemo_evaluator_sdk/tests/agent_eval/test_harbor_runtime.py	Tests persistence of typed values and trial order, then reconstructs Harbor reward details and statistics from summaries.
Gym result inspection packages/nemo_evaluator_sdk/examples/gym/inspect_results.py, packages/nemo_evaluator_sdk/examples/gym/README.md, docs/evaluator/agent-eval/reading-results.mdx	Loads summary.json, validates bundle formats, exposes typed task outcomes, and documents failed or unmeasured metrics.

Harbor example configuration

Layer / File(s)	Summary
Configurable Harbor runs packages/nemo_evaluator_sdk/examples/harbor/run_harbor_example.py	Adds --n-attempts and --job-name options and forwards them to HarborRuntimeConfig.

Gym example controls

Layer / File(s)	Summary
Limit Gym task execution packages/nemo_evaluator_sdk/examples/gym/run_gym_eval.py	Rejects negative limits, truncates discovered tasks, and reports the retained task count.

Compose live test lifecycle

Layer / File(s)	Summary
Shared Compose lifecycle settings packages/nemo_evaluator_sdk/tests/agent_eval/test_sandbox_compose_provider_live.py	Shares keep-alive and shutdown settings, reuses the build provider across evaluations, and closes evaluation handles and the provider.

Sequence Diagram(s)

sequenceDiagram
  participant ScoreRecords
  participant AgentEvalSummary
  participant SummaryJson
  participant GymInspector
  ScoreRecords->>AgentEvalSummary: collect task_metric_values
  AgentEvalSummary->>AgentEvalSummary: calculate pass@k
  AgentEvalSummary->>SummaryJson: write typed trial records
  SummaryJson->>GymInspector: load summary.json
  GymInspector->>AgentEvalSummary: call task_outcomes()
  AgentEvalSummary-->>GymInspector: return typed task outcomes

Loading

Possibly related PRs

• NVIDIA-NeMo/nemo-platform#1198: Both modify AgentEvalSummary to add consumer-facing result accessors.
• NVIDIA-NeMo/nemo-platform#1201: Both modify agent-evaluation result handling and related tests.

Suggested reviewers: arpitsardhana, sandychapman

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Title check	✅ Passed	The title clearly summarizes the main change: exposing per-task records with trial identity.

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Inline comments:
In `@packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/results.py`:
- Around line 591-604: Update the output-schema tracking around output_keys and
excluded so exclusions are keyed by task.id as well as (metric_type, spec.name).
Apply exclusion checks only within the current task when filtering persisted
values and pass@k inputs, preserving retained outputs for other tasks; add
coverage where one task retains a model output and another excludes the same key
as a continuous score.

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🧹 Nitpick comments (1)

packages/nemo_evaluator_sdk/examples/gym/inspect_results.py (1)

137-164: 📐 Maintainability & Code Quality | 🔵 Trivial | 💤 Low value

Docstring omits the new unmeasured verdict.

The function now emits a fourth classification and counter. Add it to the docstring so the four printed states are documented.

📝 Proposed edit

     ``None`` is a trial that died: it counts as an attempt and never as a pass, so a task that passed
     once and crashed once reads as flaky rather than solved.
+
+    An empty attempt list is ``unmeasured``: the task produced no usable measurement, either because
+    its metric failed or because no trial ran.
     """

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@packages/nemo_evaluator_sdk/examples/gym/inspect_results.py` around lines 137
- 164, Update the show_per_task docstring to document all four emitted verdicts:
solved, flaky, failed, and unmeasured, including that unmeasured applies when a
task has no recorded attempts. Keep the existing attempt and pass@k behavior
description unchanged.

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Nitpick comments:
In `@packages/nemo_evaluator_sdk/examples/gym/inspect_results.py`:
- Around line 137-164: Update the show_per_task docstring to document all four
emitted verdicts: solved, flaky, failed, and unmeasured, including that
unmeasured applies when a task has no recorded attempts. Keep the existing
attempt and pass@k behavior description unchanged.

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⚠️ Outside diff range comments (1)

packages/nemo_evaluator_sdk/tests/agent_eval/test_sandbox_compose_provider_live.py (1)

255-261: 🩺 Stability & Availability | 🟡 Minor | ⚡ Quick win

Make the busybox:latest prerequisite explicit.

The live test has no build or preload step for busybox:latest. With pull_policy="never", it fails before topology validation. Preload the image in the live-test setup or add an explicit CI setup step.

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In
`@packages/nemo_evaluator_sdk/tests/agent_eval/test_sandbox_compose_provider_live.py`
around lines 255 - 261, Update the live-test setup around
DockerComposeSandboxProvider to explicitly ensure the busybox:latest image is
available before constructing or starting the provider, either by preloading it
in the test setup or by adding the required CI setup step. Preserve
pull_policy="never" and the existing topology validation flow.

🧹 Nitpick comments (1)

packages/nemo_evaluator_sdk/tests/agent_eval/test_task_metric_values.py (1)

267-299: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Add infinity coverage to the escape tests.

_SPECIAL_FLOAT_TOKENS_MAP also escapes Infinity and -Infinity, and serialize_nan emits them for any non-finite float. Only NaN is exercised here, so a regression in either token would pass. One extra round trip covers both.

💚 Suggested addition

 def test_a_payload_without_value_type_still_loads() -> None:

def test_infinite_metric_values_round_trip_as_strings() -> None:
    for value, token in ((float("inf"), "Infinity"), (float("-inf"), "-Infinity")):
        dumped = TrialMetricValue(trial_id="t0", value=value).model_dump(mode="json")
        assert dumped == {"trial_id": "t0", "value_type": "number", "value": token}
        assert TrialMetricValue.model_validate(json.loads(json.dumps(dumped))).value == value

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@packages/nemo_evaluator_sdk/tests/agent_eval/test_task_metric_values.py`
around lines 267 - 299, Add a test alongside
test_nan_metric_values_survive_json_as_a_string and
test_a_label_and_a_real_nan_are_distinguishable_on_the_wire that round-trips
both float("inf") and float("-inf") through
TrialMetricValue.model_dump(mode="json"), strict JSON serialization, and
model_validate. Assert they serialize as "Infinity" and "-Infinity" with
value_type "number", then verify the restored values equal their original
infinities.

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@packages/nemo_evaluator_sdk/examples/gym/inspect_results.py`:
- Around line 103-105: Update the per-task metric aggregation in show_per_task
so tasks missing the selected key in summary.task_metric_values are retained
with an empty list instead of being filtered out; preserve existing values for
present keys and add coverage for omitted or failed metrics.

---

Outside diff comments:
In
`@packages/nemo_evaluator_sdk/tests/agent_eval/test_sandbox_compose_provider_live.py`:
- Around line 255-261: Update the live-test setup around
DockerComposeSandboxProvider to explicitly ensure the busybox:latest image is
available before constructing or starting the provider, either by preloading it
in the test setup or by adding the required CI setup step. Preserve
pull_policy="never" and the existing topology validation flow.

---

Nitpick comments:
In `@packages/nemo_evaluator_sdk/tests/agent_eval/test_task_metric_values.py`:
- Around line 267-299: Add a test alongside
test_nan_metric_values_survive_json_as_a_string and
test_a_label_and_a_real_nan_are_distinguishable_on_the_wire that round-trips
both float("inf") and float("-inf") through
TrialMetricValue.model_dump(mode="json"), strict JSON serialization, and
model_validate. Assert they serialize as "Infinity" and "-Infinity" with
value_type "number", then verify the restored values equal their original
infinities.

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• Push a commit to this branch (recommended)
• Create a new PR with the fixes

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• sdk/python/nemo-platform/src/nemo_platform/beta/evaluator/agent_eval/results.py is excluded by !sdk/**
• sdk/python/nemo-platform/src/nemo_platform/beta/evaluator/agent_eval/scores.py is excluded by !sdk/**

📒 Files selected for processing (12)

• docs/evaluator/agent-eval/reading-results.mdx
• packages/nemo_evaluator_sdk/examples/gym/README.md
• packages/nemo_evaluator_sdk/examples/gym/inspect_results.py
• packages/nemo_evaluator_sdk/examples/harbor/run_harbor_example.py
• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/results.py
• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/scores.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_harbor_runtime.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_pass_at_k.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_persistence.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_result_display.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_sandbox_compose_provider_live.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_task_metric_values.py

🚧 Files skipped from review as they are similar to previous changes (5)

• packages/nemo_evaluator_sdk/tests/agent_eval/test_harbor_runtime.py
• docs/evaluator/agent-eval/reading-results.mdx
• packages/nemo_evaluator_sdk/tests/agent_eval/test_persistence.py
• packages/nemo_evaluator_sdk/examples/gym/README.md
• packages/nemo_evaluator_sdk/tests/agent_eval/test_pass_at_k.py

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Actionable comments posted: 2

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Verify each finding against current code. Fix only still-valid issues, skip the
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Inline comments:
In
`@packages/nemo_evaluator_sdk/tests/agent_eval/test_sandbox_compose_provider_live.py`:
- Around line 259-261: Update the sandbox compose provider test configuration
around startup_timeout_seconds to use pull_policy="missing" instead of "never",
ensuring busybox:latest is pulled automatically when unavailable while
preserving the existing timeout settings.

In `@packages/nemo_evaluator_sdk/tests/agent_eval/test_task_metric_values.py`:
- Around line 602-611: Replace the repository-root namespace imports in
packages/nemo_evaluator_sdk/tests/agent_eval/test_task_metric_values.py:602-611
and :634-636 with file-path loading or a shared fixture that adds the gym
example directory to sys.path. Apply the same mechanism to import
BundleFormatError/load_bundle and per_task_outcomes/per_task_trial_values so
both tests resolve reliably during collection.

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⛔ Files ignored due to path filters (2)

• sdk/python/nemo-platform/src/nemo_platform/beta/evaluator/agent_eval/results.py is excluded by !sdk/**
• sdk/python/nemo-platform/src/nemo_platform/beta/evaluator/agent_eval/scores.py is excluded by !sdk/**

📒 Files selected for processing (12)

• docs/evaluator/agent-eval/reading-results.mdx
• packages/nemo_evaluator_sdk/examples/gym/README.md
• packages/nemo_evaluator_sdk/examples/gym/inspect_results.py
• packages/nemo_evaluator_sdk/examples/harbor/run_harbor_example.py
• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/results.py
• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/scores.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_harbor_runtime.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_pass_at_k.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_persistence.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_result_display.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_sandbox_compose_provider_live.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_task_metric_values.py

🚧 Files skipped from review as they are similar to previous changes (10)

• packages/nemo_evaluator_sdk/examples/gym/README.md
• packages/nemo_evaluator_sdk/tests/agent_eval/test_harbor_runtime.py
• docs/evaluator/agent-eval/reading-results.mdx
• packages/nemo_evaluator_sdk/tests/agent_eval/test_pass_at_k.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_result_display.py
• packages/nemo_evaluator_sdk/examples/gym/inspect_results.py
• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/results.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_persistence.py
• packages/nemo_evaluator_sdk/examples/harbor/run_harbor_example.py
• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/scores.py

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Actionable comments posted: 1

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Inline comments:
In `@packages/nemo_evaluator_sdk/examples/gym/inspect_results.py`:
- Around line 96-106: Update the summary-loading function around the JSON
payload validation: verify payload is a dict before checking task_metric_values,
and convert non-object roots to BundleFormatError. Catch Pydantic
ValidationError from AgentEvalSummary.model_validate and re-raise it as
BundleFormatError, preserving the original exception context; add tests covering
a non-object JSON root and an invalid field type.

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📥 Commits

Reviewing files that changed from the base of the PR and between 095b199 and 07668b2.

⛔ Files ignored due to path filters (2)

• sdk/python/nemo-platform/src/nemo_platform/beta/evaluator/agent_eval/results.py is excluded by !sdk/**
• sdk/python/nemo-platform/src/nemo_platform/beta/evaluator/agent_eval/scores.py is excluded by !sdk/**

📒 Files selected for processing (13)

• docs/evaluator/agent-eval/reading-results.mdx
• packages/nemo_evaluator_sdk/examples/gym/README.md
• packages/nemo_evaluator_sdk/examples/gym/inspect_results.py
• packages/nemo_evaluator_sdk/examples/gym/run_gym_eval.py
• packages/nemo_evaluator_sdk/examples/harbor/run_harbor_example.py
• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/results.py
• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/scores.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_harbor_runtime.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_pass_at_k.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_persistence.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_result_display.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_sandbox_compose_provider_live.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_task_metric_values.py

🚧 Files skipped from review as they are similar to previous changes (9)

• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/scores.py
• packages/nemo_evaluator_sdk/examples/gym/README.md
• packages/nemo_evaluator_sdk/tests/agent_eval/test_result_display.py
• packages/nemo_evaluator_sdk/examples/harbor/run_harbor_example.py
• docs/evaluator/agent-eval/reading-results.mdx
• packages/nemo_evaluator_sdk/tests/agent_eval/test_harbor_runtime.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_pass_at_k.py
• packages/nemo_evaluator_sdk/src/nemo_evaluator_sdk/agent_eval/results.py
• packages/nemo_evaluator_sdk/tests/agent_eval/test_persistence.py