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fix: keep NOOA BenchAgent token usage on failed tasks - #447
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NOOA 0.0.10 emits token_usage events only for CompletionClient. ResponsesClient returns usage on each response but does not feed the task token accumulator, so Fabric reported input, output and total tokens as zero for Responses client runs. When the selected model is a ResponsesClient, wrap its synchronous and asynchronous calls and collect each returned usage report in an invocation-scoped ContextVar. Sum provider-reported input, cached-input, output and total tokens. If any returned report omits a counter, leave that dimension unknown. Preserve explicit zeros and mark input tokens as including cached tokens. The CompletionClient path is unchanged. Tests drive the real ResponsesClient directly with queued LiteLLM responses while leaving NOOA's accumulator unpatched. They cover multi-call sums, explicit zeros, missing usage, realistic missing cached-token details, and a defensive summing case for an omitted output count. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
The Responses usage tests drove only acall, and each one started a fresh runtime. The adapter also wraps the synchronous call, and a persistent runtime serves many invocations with the same wrapped client, so neither path was pinned down. The BenchAgent double now also drains a queue of synchronous replies through ResponsesClient.call, and a new test checks that a sync call's counters reach the invocation usage. A second test invokes one runtime twice with different replies and checks each result's usage on its own, so usage from the first invocation cannot carry over into the second. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
When BenchAgent reported a task as failed, the adapter computed the invocation's usage and then returned a failed result without it. The tokens a failed task spent dropped out of run totals, so cost per successful task read too low. The adapter contract asks adapters to keep available usage on unsuccessful results. Attach the same usage to the failed result for both the completion and Responses API clients. Counting rules and successful results are unchanged, and each invocation still reports only its own calls. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
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Fern docs preview: https://nvidia-preview-pull-request-447.docs.buildwithfern.com/nemo/fabric |
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Inline comments:
Review comments at
@adapters/python/nooa/src/nemo_fabric_adapters/nooa/bench_adapter.py:
- Around line 409-419: Update invoke_agent to track whether an actual model call
has started for both CompletionClient and ResponsesClient, marking it only at
the model-call boundary rather than immediately after start_task_tokens() or
_responses_usage.set(). In exception handling, return collected usage only after
that boundary; otherwise return None. Guard usage extraction so extraction
failures preserve the original evaluation or conversion failure result.
Review comments at @tests/adapters/test_nooa_bench_adapter.py:
- Around line 536-595: Add coverage for unrecovered evaluation exceptions in
both client modes, alongside the existing failed-task test. For the
ResponsesClient path, make the test double raise after acall while preserving
collected usage; for the CompletionClient path, set _run_evaluation.side_effect
to a RuntimeError. In each test, assert the invocation reports
nooa_bench_invoke_failed and retains the usage collected before the exception.
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Enforce the product name in user-facing prose: use "NVIDIA NeMo Fabric" on first use and "NeMo Fabric" thereafter.
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adapters/python/nooa/src/nemo_fabric_adapters/nooa/bench_adapter.py: 2
13-13: LGTM!Also applies to: 35-39, 122-126, 137-137, 162-211, 291-291, 310-316, 351-351, 487-487
219-235: 🩺 Stability & AvailabilityNo Relay bypass is established.
NOOA
0.0.10implementsMIDDLEWARE_LLM_CALLas an event-manager middleware chain. It does not patchResponsesClient.callorResponsesClient.acallon the class. The instance wrappers therefore do not support the claimed Relay interception failure.tests/adapters/test_nooa_bench_adapter.py: 1
99-99: LGTM!Also applies to: 173-173, 181-534
tests/fixtures/nooa_bench/src/nooa/unifiedllm/__init__.py: 1
20-23: LGTM!adapters/python/nooa/docs/bench-agent.md: 1
26-34: LGTM!
The adapter collected usage only after BenchAgent returned. When the task raised after a model call, or returned a malformed result, the failed result lost the tokens already spent. Mark the start of each model call on the selected client, for both the completion and Responses API clients. After an invocation error, keep the collected usage once a model call has started, and leave it unknown before then. A usage collection error keeps the original failure result. The subprocess fixture model gains the call methods that NOOA clients have. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Overview
When NOOA BenchAgent reports a task as failed, Fabric drops the usage already collected for it. This leaves failed-task tokens out of run totals.
This change keeps that usage on the failed result for both client types. The adapter contract already asks adapters to keep available usage on unsuccessful results. Counting rules and successful results are unchanged.
Details
success: false, including when an unrecovered task exception produces that result.Validation
nooaextra: 78 NOOA tests passed, covering the BenchAgent adapter, the interactive adapter, Relay compatibility and the Harbor example.mainon this machine, passes on a rerun, or passes when this commit runs in themaincheckout's environment.Where should the reviewer start?
Start with
BenchRuntime.invokeand_usage_after_errorinadapters/python/nooa/src/nemo_fabric_adapters/nooa/bench_adapter.py, and check that a failed result carries the same usage a successful task would return.Related Issues: (use one of the action keywords Closes / Fixes / Resolves / Relates to)
Depends on fix: report NOOA BenchAgent usage from model responses #441.
I confirm this contribution is my own work, or I have the right to submit it under this project's license.
I searched existing issues and open pull requests, and this does not duplicate existing work.
Summary by CodeRabbit
New Features
Bug Fixes
Documentation