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feat: accept detailed token usage from adapters - #382
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Adapters can observe cache-write input, reasoning output, the largest single request, and per-model usage, but AgentUsage had no fields for them, so adapters either dropped the data or hid it in extensions. Add cache_write_input_tokens, reasoning_tokens, output_tokens_include_reasoning, peak_request_input_tokens, and a closed AgentModelUsage list to AgentUsage. input_tokens_include_cache now also covers cache-write input. Core validates per-model entries: non-blank model and provider, each provider and model pair once compared case-insensitively, and a finite non-negative cost_usd. RunUsage and run_usage() are unchanged, so consumers do not see the new fields yet. The RunUsage cache flag description now says it can cover cache-write input that RunUsage does not report. The adapter-contract and SDK JSON schemas are regenerated. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Python adapters build AgentUsage through the Python contract, which must accept the same fields and enforce the same rules as core so an invalid result fails in the adapter instead of at the core boundary. Add the new AgentUsage fields and AgentModelUsage with the same counter bounds, non-blank identifiers, case-insensitive duplicate check, and non-negative finite cost as core, with tests. Update the SDK RunUsage docstring for the wider meaning of the cache flag. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
TypeScript adapters type their results against the generated contract declarations, which must match the regenerated result schema. Copy the regenerated agent-run-result schema, regenerate the declarations with AgentModelUsage and the new AgentUsage fields, and add type tests for the detailed fields, the boolean reasoning flag, the required model identifier, and the closed model usage object. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Adapter authors need to know when to report the new usage fields, what the inclusion flags mean, and that NeMo Fabric does not yet pass the fields to consumers. Document the fields and per-model rules in the results tutorial and the adapter-building skill, state that cache-write, reasoning, peak request, and per-model usage are not copied into RunResult.usage, describe the wider cache flag meaning in the Python SDK guide, and point the adapter contribution skill at the shared fields. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Regenerate the Rust and Python references with Rust 1.94.0. The new AgentModelUsage page shifts the crate-wide sidebar positions, so most Rust reference pages change only their position line. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
input_tokens_include_cache now covers both cache reads (cached_input_tokens) and cache writes (cache_write_input_tokens), so one flag cannot describe a provider that counts reads in input_tokens but reports writes separately. Keep the single flag and state the rule explicitly: true means both are included, false means both are excluded, and an adapter whose provider mixes the two normalizes input_tokens before reporting. Update the Rust doc comments for AgentUsage and AgentModelUsage, the Python contract docstring, the adapter results tutorial, and the build-adapter skill, and regenerate the JSON Schemas, TypeScript contract, and Rust API reference from the doc comments. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
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Bring the adapter usage PR onto current main while preserving its reviewed commit history. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Include the OpenHands default condenser change from current main without rewriting the PR history. Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
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Requesting changes on two contract-correctness blockers: the expanded closed adapter result has no negotiated compatibility boundary, and the runtime drops newly observed usage detail while retaining legacy flags that downstream consumers interpret as complete. Please also bring the exportable integration skill into parity. I validated the exact head against the exact base with the full Python/Rust/schema/docs matrix and a real Codex + Relay + MCP multi-turn E2E. The existing execution path passes; these blockers are specific to the new detailed-usage contract. The required NVSkills check also needs to be rerun after the latest watched-path change.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
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@sdk/python/nemo-fabric-runtime/src/nemo_fabric/integrations/harbor/fabric_agent.py:
- Around line 909-965: Add a partial detailed-usage test for
`has_detailed_output` in the token-usage handling flow, with only
`reasoning_tokens` present alongside a valid top-level `output_tokens`. Assert
that `n_output_tokens` remains unset, preserving the current
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🔇 Additional comments (16)
sdk/python/nemo-fabric-runtime/src/nemo_fabric/integrations/harbor/fabric_agent.py (2)
858-868: Inclusive-total rule can misreport input when the flag is absent and only one component is reported.When
included is None, the function returnsprimaryonly if every component equals 0. Ifcache_write_input_tokensis missing,_usage_counterreturnsNone. Thenall(value == 0 ...)isFalse, so the total is unknown. This matches the documented rule. The fallback path has a different rule. It treats a missingcached_input_tokensas non-zero when the flag is absent. Both paths withhold the total, so the behavior is consistent. No change needed.
929-941: Fallback path can raiseTypeErroron malformed top-level usage.The fallback path does
input_tokens + cached_input_tokenson rawusage.get(...)values.RunUsage._normalizevalidates these as nonnegative integers orNone, so theTypeErrorrisk does not occur for validated results. The new detailed path uses the stricter_usage_counter. The two paths are inconsistent, but the fallback path is existing behavior. No change needed.crates/fabric-core/src/agent_execution.rs (2)
97-97: Doc comment change onAgentUsageis fine.The change is documentation only, so
AgentUsageand its schema behavior stay unchanged.
441-469: LGTM!crates/fabric-core/src/runtime.rs (4)
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132-234: LGTM!
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🟡 Minor · Preserve top-level input usage for partial detailed input · fabric_agent.py:919-941
sdk/python/nemo-fabric-runtime/src/nemo_fabric/integrations/harbor/fabric_agent.py:919-941
🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick winPreserve top-level input usage for partial detailed input
When the detailed extension contains only an input ancillary field, such as
cache_write_input_tokens, use the existing top-level input accounting branch. The current condition selects the detailed branch,_inclusive_token_countreturnsNonebecause detailedinput_tokensis absent, and Harbor drops the available normalized top-level total.Suggested fix
- if has_detailed_input: + if has_detailed_input and "input_tokens" in detailed_usage:🤖 Prompt for AI Agents
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Inline comments:
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- Line 896: Replace the standalone product reference “Fabric” in the token-usage
documentation with “NeMo Fabric,” preserving the existing meaning and leaving
references to non-product uses unchanged.
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Outside diff comments:
Review comments at
@sdk/python/nemo-fabric-runtime/src/nemo_fabric/integrations/harbor/fabric_agent.py:
- Around line 919-941: Update the detailed-input branch condition so it is used
only when detailed_usage contains the input_tokens field; when detailed usage
has only ancillary input fields, preserve the existing top-level input
accounting path.
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docs/sdk/python.mdx (1)
896-896: Clarify that the inclusion flag covers cache writes.This paragraph links
input_tokens_include_cachetocached_input_tokensbut does not state that the flag covers both cache reads and writes. State that scope and note that adapters must normalizeinput_tokenswhen a provider counts only one category. This matches the accounting concern raised in the previous review ofskills/nemo-fabric-integrate/references/results-and-errors.md.sdk/python/nemo-fabric-runtime/src/nemo_fabric/integrations/harbor/fabric_agent.py (1)
13-13: LGTM!Also applies to: 67-67
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The two original contract blockers are resolved on this head: detailed usage now stays behind descriptor-declared extensions, runtime transport is preserved, and Harbor no longer reports provably incomplete inclusive totals. One consumer-contract gap remains: document the per-dimension precedence that the tests intentionally enforce, and correct the PR body’s opposite fallback claim.
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Approved on exact head 156627241cf4216275ec62395432171ab673f918. The compatibility, accounting, skill-parity, and per-dimension precedence issues from my earlier reviews are resolved, and the added partial-detail cases make the intended unknown-over-fallback behavior explicit. I revalidated the focused Harbor path, Rust transport, generated docs, and patch hygiene; the exact-head GitHub Rust, Python, TypeScript, adapter-install, E2E, docs, pre-commit, wheel, and DCO checks are green. The required NVSkills status is still pending and remains an independent merge gate.
Overview
Preserve descriptor-declared detailed token usage from adapter results and use it for Harbor accounting without changing the closed
fabric.adapter/v1alpha2AgentUsagewire shape.Adapters can opt in by declaring and returning
usage.extensions["nemo_fabric.detailed_token_usage.v1"]. NeMo Fabric carries that object intoRunResult.usage.metadata, where consumers can use cache-write, reasoning, peak-request, and per-model detail. Existing adapter payloads remain valid, and this PR does not change the adapter-contract schema, generated Python contract, or generated TypeScript declarations.Details
Breaking changes: none. The
fabric.adapter/v1alpha2contract remains unchanged. Detailed usage is an optional, descriptor-declared extension.Validation
uv run pytest tests/python/test_harbor_accounting.py: 46 passed.just test-python: 1,881 passed, 113 skipped, with four environment/setup failures outside the changed behavior: two Relay failures associated with the inherited/etc/nemo-relay/plugins.tomlconfiguration, a Mini SWE telemetry fixture missingcommand, and an unbuilt OpenCodedist/cli.js.Where should the reviewer start?
Start with
local_host_preserves_detailed_usage_in_metadataincrates/fabric-core/src/runtime.rs, then the detailed-usage branch insdk/python/nemo-fabric-runtime/src/nemo_fabric/integrations/harbor/fabric_agent.pyandtest_detailed_usage_is_authoritative_per_dimensionintests/python/test_harbor_accounting.py. The compatibility boundary is captured byv1alpha2_usage_keeps_detailed_fields_in_extensionsincrates/fabric-core/src/agent_execution.rs.Related Issues: (use one of the action keywords Closes / Fixes / Resolves / Relates to)
Relates to: none
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.