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fix: preserve OpenHands usage across failed attempts - #455
OpenHands can retry model calls and run a model to summarize conversation history. Counting only the final successful report can hide earlier attempts, including calls completed before a task fails.
Collect completion reports and retry evidence for each invocation. Expose normalized observations and complete totals through RunResult.model_usage. Preserve usable counts after failure, while identifying fields and calls that the SDK cannot fully account for.
Dependency:#458 supplies adapter version reports and includes the shared usage contract and normalizer from #442. This change adds the harness collector. The diff against main includes those unmerged prerequisites.
Details
Use the completion-log callback and retry listener in OpenHands SDK 1.50.0. An empty response with usable usage is counted once even when it triggers a retry. The default history condenser shares the observed model client; dispatch to a separate vision client leaves an accounting gap.
The SDK and LiteLLM replace omitted primary counts with zero before the callback. Positive counts remain usable, but a zero cannot establish a provider-reported zero. On the Anthropic path, missing cache buckets are also replaced with zero and reasoning counts can be synthesized. Those values are not promoted to literal provider reports. Complete input requires established uncached input and both cache buckets; output can be complete independently.
Keep independent cache observations when other counts are missing. Freeze the result at return so late callbacks cannot change it or move counts to another invocation. Unfinished calls, interrupts and independently constructed clients retain collection gaps.
Accounting model identity comes from the constructed client. A custom endpoint does not establish native-provider pricing identity. OpenHands' accumulator mixes proxy costs and catalog estimates, so it is not reported as provider cost.
Validation
Focused collector, retry and provider-presence tests passed with the supported OpenHands SDK, along with provenance and catalog checks. Tests cover empty replies carrying usage, settled calls before task failure, late callbacks, cache fields and dispatched vision work.
Run the collector checks with OpenHands SDK and tools 1.50.0 installed:
Start with InvocationReports.usage and CompletionReports in adapters/python/openhands/src/nemo_fabric_adapters/openhands/usage.py. Verify retry ownership and the Anthropic field-presence limits. Then read tests/adapters/test_openhands_accounting.py and test_openhands_provider_presence.py, which exercise those boundaries.
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.
The Deep Agents adapter summed usage_metadata from the AI messages that
reached graph state through the updates stream. Three cases came out
wrong:
- Deep Agents adds SummarizationMiddleware to every agent and subagent.
Its summary call returns only text, so the summary model's message
and usage never enter graph state, and an invocation that summarized
under-reported input, output and total tokens.
- When the invocation raised, including GraphRecursionError, the
adapter returned no messages, so usage was None even though model
calls had finished.
- A count was summed over the calls that reported it and returned as
known. ChatOpenAI also turns an omitted Chat Completions count into 0
and derives a missing total, so a partial provider report came out as
measured zeros.
The adapter now records usage from LangChain's chat-model callbacks,
which fire for every chat-model call that runs in the adapter process:
the main agent, declarative subagents and summarization. Agent Protocol
subagents run remotely and are not included. A new recorder is created
for each invocation, so earlier turns are never counted again. It
outlives an exception, so a failed invocation still reports the fields
that every counted call reported.
Each token count and the cost are known only when every counted call
in the invocation reported them, and an explicit zero stays a known
zero. A request the provider rejects with a 4xx status (other than 408)
contributes no usage. A 5xx response, timeout, cancellation or
unfinished call leaves the invocation's counts and cost unknown,
because the provider may have done work without reporting usage.
OpenAI SDK retries happen inside one LangChain call, so a 5xx the SDK
retries to success is not visible to the recorder, and only the final
response's reported usage counts. When
a response carries OpenAI-shaped raw usage, the raw counts decide what
was reported: an omitted count stays unknown, the provider's total is
used when present, and a derived total counts only when input and
output were both reported.
The graph tests run the real Deep Agents graph and ChatOpenAI against
a scripted Chat Completions endpoint for summarization, parallel task
subagents, 400, 408, 503 and timeout failures, the recursion limit,
partial reports and explicit zeros. Separate ChatOpenAI.with_retry
tests cover 429 then success and 503 then success. The existing usage tests
now produce their messages through a LangChain chat-model call so the
callbacks fire.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
A RunResult says which agent and adapter ran, but not which Fabric
version, models or MCP servers were behind it, so a rerun weeks later
cannot tell what changed. Add an optional, versioned what_ran object.
Each fact holds a value, or a state and a reason, plus how Fabric
learned it: its source, collector and method.
Core fills the facts it holds before it sends the request: its own
version, the adapter ID, the requested models, the configured MCP
servers with secret-free endpoints, and the environment provider.
Core reads no adapter report yet, so adapter-reported facts read
unsupported with reason key_not_declared.
On the OpenShell host path, the host relabels the task core's facts as
task_core, records its own version as host_core_version and sets the
environment provider to openshell. A task result without a readable
what_ran keeps what_ran absent.
The Rust and Python readers apply the same structural checks, tested
against one shared vector file. A malformed what_ran reads as absent
and never fails the enclosing result. Core gains a direct dependency on
sha2 0.10, already in the lockfile, for the string length rule.
Rust code that builds RunResult with a struct literal must add the
what_ran field. Python's RunResult.to_mapping() now always includes it.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Explain the fact envelope, the four no-value states, the endpoint rule,
the OpenShell attribution and the structural read, and keep the
integration skill's RunResult table in step with the guide.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Regenerate the Rust library reference with Rust 1.94.0 for the new
what_ran module and the RunResult field, and the Python types reference
for RunResult.what_ran. Only the pages this change affects are
included.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
A plan with many model roles or MCP servers, or very long names, could
make what_ran arbitrarily large, and every RunResult carries it. Keep
it bounded without ever failing a run.
Core keeps the first 16 model roles and 32 MCP servers in sorted key
order, and drops entries whose key is longer than 128 characters. While
the compact JSON of what_ran is larger than 128 KiB, it drops MCP
servers from the end of the sorted order, then model roles. If plan
identifiers alone still exceed the budget, what_ran becomes a minimal
object with only the schema name, the version and what_ran_truncated.
A marker next to each map counts the dropped entries and names the last
rule applied. The OpenShell host applies the same bounds again after it
attributes the task core's facts, so they hold for a task core of any
version.
The six what_ran sections become optional in the Rust type so the
minimal object can be represented. Every section is still required
unless what_ran_truncated is present, and no section may be null. The
Rust reader, the generated schema and the Python reader check this
against the shared vectors.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Explain the entry caps, the key length rule, the byte budget, the
truncation markers and the minimal object, and tell readers to check
what_ran_truncated before reading a section. Keep the integration
skill's RunResult notes in step.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Regenerate the Rust library reference pages of the what_ran module for
TruncatedEntries and the optional sections, and update the Python types
reference for RunResult.what_ran. Only the pages this change affects
are included.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Run a local host invocation with two model roles and three MCP servers
(npx with arguments, streamable-http and sse) and no environment section,
and assert the exact what_ran a user gets, including the origin of every
unsupported adapter-reported fact and that no configured secret appears.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Resolve a plan from each of the 16 bundled descriptors with a model and,
where the adapter accepts MCP, three servers, and check that what_ran
passes the schema, carries no truncation marker, and reads every
adapter-reported fact as unsupported/key_not_declared. Also show that 16
roles and 32 servers with 128-character keys fit the byte budget, and
that stdio placeholders read executable_unparsed.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
The adapter copied OpenHands' accumulated token and cost counters into
the run result. Those counters start at 0, and an omitted provider count
is stored as 0, so missing counts were reported as measured zeros, a
prompt-only response added 0 output tokens to the total, and a model
LiteLLM cannot price reported cost_usd 0.0.
Read the invocation's per-response records instead. OpenHands writes a
usage record only when prompt or completion tokens are above 0, so
fewer records than responses makes usage unknown. LiteLLM stores an
omitted prompt or completion count as 0, so input and output are known
only when every record has them above 0, and total_tokens only when
both are known.
Cache reads keep the provider's field presence in the OpenHands
completion log. Register a log callback (no log directory, so no file
is written) and report cached_input_tokens when every response, matched
by response id, reported a cache-read count, including 0. Gemini omits
a count of 0 because its usage fields are proto3 int32 without
presence, so for native Gemini models an absent count is 0. An
explicitly reported zero on the first request stays known when later
responses also report cache counts. Counts past the contract's uint64
limit are unknown instead of failing validation, and so are cache reads
above one response's input or above the summed input. Usage keeps a
known cache count even when input and output are both unknown. Input is marked as including cache,
because LiteLLM's prompt_tokens includes cache reads and writes.
Stop reporting cost_usd. OpenHands combines a LiteLLM proxy cost header
or a locally calculated cost into one counter and does not record which
one each cost came from.
The README and the OpenHands docs page state these rules and that a
failed model attempt OpenHands retries records no usage, so usage can
undercount. The real-SDK condensation test now covers cache hits after
an uncached first call, prompt-only, completion-only,
complete-then-partial, a summary without cache details, a summary
without usage, and a 0/0 summary response.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Loop over whatever the catalog lists without pinning its size, so adding
or removing a bundled adapter doesn't break the test. Name the size test
after what it builds: ASCII keys and model names at their maximum length.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Adapters had no way to report their own facts, so the adapter package
version, the harness name and version, the served model and the MCP
runtime facts always read unsupported with reason key_not_declared.
Core now reads nemo_fabric.versions.v1 and nemo_fabric.mcp.v1 from a
result's extensions after the descriptor's extension check, when the
descriptor's run_result schema names the key under properties. Only
adapter-owned facts with source reported and collector adapter are kept;
a malformed or forged fact reads invalid_report, an omitted one
fact_omitted, an omitted key key_omitted, and a key over 64 KiB
too_large. A reported server the plan does not configure becomes a
harness entry. tool_names keeps 64 sorted names and counts the rest in
a new tool_names_truncated marker, added to the schema and both readers.
Ingestion never changes the run's status or error.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
A what_ran could not say which harness build ran. Six adapters now
declare nemo_fabric.versions.v1 and report their package version and the
harness name and version from a source that names the build that ran:
- Claude Code: claude_code_version from the CLI's init message.
- Codex: the thread's cli_version from one bounded thread/read request.
- Hermes: get_version_info(), a blocking call that runs git, on a daemon
thread with a 5 second limit.
- OpenClaw: the --version check, or an attached gateway's /startupz
version, both already read at startup.
- Deep Agents and mini-swe-agent: package metadata, accepted only when
the distribution installed the module the adapter loaded.
A shared helper builds the report, applies core's string length rule,
and runs blocking calls with at most one outstanding probe per runtime;
stopping a runtime never waits for it. A source that times out, fails or
answers nothing reads a state with a reason, never a substitute value.
The adapter catalog is regenerated for the six changed descriptors.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
what_ran.models.<role>.served stayed unsupported for Claude Code even
though each assistant message names the model that answered.
The Claude Code adapter now reports, for the role it runs (default, or
the sole configured role), the one distinct model named by this
invocation's main-thread assistant messages. Messages with a
parent_tool_use_id belong to subagents and are skipped, and so are
Claude Code's <synthetic> API-error messages. Two distinct models read
not_attributed, none reads empty_response, a failed stream reads
collection_failed, and every invocation starts from its own messages.
Tests feed saved Claude Code CLI streams through the SDK's parser.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
The SDK guide and the integration reference said every adapter-reported
fact reads key_not_declared. They now name the six adapters that report
harness versions, the Claude Code served-model rule, the states a report
key can produce and the tool_names cap. The adapter tutorial and the
build-adapter skill show adapter authors how to declare and fill
nemo_fabric.versions.v1.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
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The PR adds invocation-scoped usage accounting across adapter contracts, DeepAgents, OpenHands, Fabric Core, and the Python SDK. It distinguishes complete values, observations, gaps, provider identity, and pricing evidence. It also adds schemas, reducers, normalization, summaries, tests, and documentation.
Changes
Model usage accounting
Layer / File(s)
Summary
Usage contracts and reducers adapter-contract/*, schemas/extensions/usage-accounting.schema.json
Adds typed usage dimensions, gap reasons, request and model evidence, Python and TypeScript reducers, shared schemas, and conformance fixtures. Missing values remain distinct from zero.
DeepAgents records callback and HTTP evidence. OpenHands records completion logs, retries, metrics, cache details, model identity, and invocation gaps.
Core validates accounting extensions, normalizes complete and observed usage, derives dimension-specific gaps, preserves execution outcomes, and exposes RunResult.model_usage.
SDK summaries and pricing sdk/python/nemo-fabric-runtime/src/nemo_fabric/accounting.py, sdk/python/nemo-fabric-runtime/src/nemo_fabric/types.py
Adds summarize_usage for explicit invocation manifests. It reports coverage, complete totals, observed sums, missing results, overflow, and incompatible pricing bases.
Schemas, tests, and documentation schemas/*, tests/*, docs/*, skills/*
Adds descriptor synchronization, contract validation, adapter tests, SDK tests, generated references, and guidance for usage accounting and result interpretation.
Strands adapter results will not carry the version and provenance report that its descriptor declares. This is a small provenance gap, not a functional failure. Wrap the Strands runtime with withPackageVersion before merging, or accept the gap explicitly.
Pre-merge checks: 4 · 1
Failed checks: 1 inconclusive
Check name
Status
Explanation
Resolution
Docstring Coverage
Docstring coverage is 22.79% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 566 functions across 71 files. (75 skippe…
Write docstrings for the functions missing them to satisfy the coverage threshold.
Passed checks: 4 passed
Check name
Status
Explanation
Title check
The title uses valid Conventional Commits syntax, clearly describes the OpenHands usage change, stays under 72 characters, and has no trailing period.
Description check
The description includes the required overview, reviewer starting point, related-issues section, validation details, and both required confirmation checkboxes. It is specific and relevant to the chang…
Linked Issues check
Check skipped because no linked issues were found for this pull request.
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Full details: Description check
Explanation
The description includes the required overview, reviewer starting point, related-issues section, validation details, and both required confirmation checkboxes. It is specific and relevant to the changes.
Full details: Docstring Coverage
Explanation
Docstring coverage is 22.79% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 566 functions across 71 files. (75 skipped: 67 unsupported, 8 over the file limit.)
Resolution
Write docstrings for the functions missing them to satisfy the coverage threshold.
Finishing Touches: 💡 1
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NOOA, NOOA Bench, OpenHands and Remote Agent left adapter.package_version
at key_not_declared, so a run with them could not say which adapter
build ran. Each now declares nemo_fabric.versions.v1 and attaches its
installed package version to every result. These adapters have no
harness version or served-model source yet, so those facts read
unsupported with reason no_source. The catalog is regenerated.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Cline, Droid, Kilo Code, OpenCode, Pi and Qwen Code left
adapter.package_version at key_not_declared. A shared
withPackageVersion wrapper in the TypeScript common package reads the
adapter's own package.json synchronously at start and adds
nemo_fabric.versions.v1 to every result, with the harness and served
model facts unsupported/no_source until their sources land. Each CLI
wraps its runtime, each descriptor declares the key, and the catalog is
regenerated. A catalog test checks that all bundled descriptors declare
the key.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
The SDK guide and the integration reference named only the six adapters with a harness version source. The TypeScript common README documents withPackageVersion.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
The completion-log callback treated a response as reporting cache reads
whenever the cached_tokens key existed. LiteLLM declares cached_tokens
optional, so a details object that carries only audio or text tokens
can hold a null count. OpenHands records that as 0, and the adapter
would then report a known cached count of 0 for a provider that never
reported one.
Count cache reads as reported only when cached_tokens is a non-null
value, and check both prompt_tokens_details (Chat Completions) and
input_tokens_details (Responses API), so details without a cache count
in one object no longer hide the count in the other.
Add tests for null and sibling-only details, for both detail objects,
for a failed-request log not shifting the response-id alignment, and for
a failed invocation reporting usage from its own responses only.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
The Claude and Hermes adapters attach nemo_fabric.versions.v1 to every
result, and core rejects a result extension that the descriptor's
run_result schema does not declare. The Harbor SWE-bench copies of both
descriptors lacked the block, so runs through them failed. A new test
finds every checked-in copy of a bundled descriptor and checks that it
declares the key.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
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Actionable comments posted: 1
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Inline comments:
Review comments at @adapters/typescript/strands/strands.fabric-adapter.json:
- Around line 126-128: Update the Strands runtime creation path so results
include package-version provenance under nemo_fabric.versions.v1. Wrap the
returned runtime with the existing package-version mechanism, using the Strands
package metadata as its source.
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Review adapter and example changes for command correctness, config/schema consistency, artifact handling, and compatibility with the public NeMo Fabric contracts.
Applicability reference: AGENTS.md: # AGENTS.md Keep public bindings current when the API changes: `docs/sdk/python.mdx` for the Python SDK; `adapter-contract/python/` and `adapter-contract/typescript/` for the southbound adapter contract;...
CodeRabbit inference engine (schemas/SCHEMA.md)
Files:
schemas/SCHEMA.md
schemas/sdk/run-result.schema.json
Source excerpt: Treat all files under `docs/reference/api/` as generated output.
Source excerpt: Keep release policy and the end-to-end maintainer workflow in `RELEASING.md`; keep packaging implementation guidance in `.agents/skills/maintain-packaging/SKILL.md`.
Source excerpt: Keep public bindings current when the API changes: `docs/sdk/python.mdx` for the Python SDK; `adapter-contract/python/` and `adapter-contract/typescript/` for the southbound adapter contract; the JSON Schema notes in `schema...
Source excerpt: Key conventions for the two tiers: **Discovery wiring:** `.claude/skills` symlinks to `.agents/skills/` (the maintainer set) for Claude Code; integration skills under `skills/` are copied into another project rather than aut...
Source excerpt: Update user-facing entry points when public behavior, the `nemo-fabric` package (imported as `nemo_fabric`), examples, or supported bindings change: `README.md`, the Fern docs under `docs/` (navigation in `docs/index.yml`, s...
CodeRabbit inference engine (AGENTS.md)
Files:
docs/index.yml
adapters/typescript/common/README.md
Source excerpt: [ ] Relevant adapter or example `README.md` files updated when examples or adapters have changed.
Source excerpt: [ ] Any Rust change ran `just test-rust` Source excerpt: [ ] Any Rust change ran `cargo fmt --all -- --check` Source excerpt: [ ] `crates/fabric-core` changes ran both the Rust and Python suites
Source excerpt: Follow these repository-specific requirements after applying the public skill: Place a Python adapter under `adapters/python//` with `LICENSE -> ../../../LICENSE`, `README.md`, `.fabric-adapter.json`, Python pack...
Source excerpt: Keep the tiers separate: do not add external integration guidance to the maintainer set, or repository-internal contribution steps to the integration set.
Source excerpt: Key conventions for the two tiers: **Portability strategy:** integration skills link to public GitHub documentation and example URLs rather than a docs-site domain, so they keep working when exported.
Learnt from: CR
Repo: NVIDIA/NeMo-Fabric PR: 0
File: .agents/skills/validate-change/SKILL.md:0-0
Timestamp: 2026-10-20T16:11:15.172Z
Learning: Source excerpt:
# Validate a Change
## Mandatory Rules
- Format changed files with the language-native formatter before the final
test pass.
Applied to files:
tests/fixtures/claude_streams/normal.jsonl
Learning: 2026-10-20T16:11:43.359Z
Learnt from: CR
Repo: NVIDIA/NeMo-Fabric PR: 0
File: CONTRIBUTING.md:0-0
Timestamp: 2026-10-20T16:11:43.359Z
Learning: Source excerpt:
# Contributing to NVIDIA NeMo Fabric
## SPDX License Headers
All source files must include an SPDX license header. Use the appropriate
comment syntax for the file type.
[info] 59-59: use jsonify instead of json.dumps for JSON output
Context: json.dumps(data)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
tests/python/test_usage_reducer_parity.py
[error] 81-87: Command coming from incoming request
Context: subprocess.run(
[node, "--input-type=module", "-e", source, str(module)],
input=json.dumps(VECTORS),
capture_output=True,
text=True,
check=True,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[info] 83-83: use jsonify instead of json.dumps for JSON output
Context: json.dumps(VECTORS)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
tests/adapters/test_adapter_provenance.py
[warning] 177-177: Do not make http calls without encryption
Context: "http://gateway.example"
Note: [CWE-319] Cleartext Transmission of Sensitive Information.
(requests-http)
[warning] 180-180: Do not make http calls without encryption
Context: "http://gateway.example"
Note: [CWE-319] Cleartext Transmission of Sensitive Information.
(requests-http)
tests/python/test_adapter_catalog.py
[error] 123-127: Command coming from incoming request
Context: subprocess.run(
["git", "-C", str(repo_root), "ls-files", "-z", "*.fabric-adapter.json"],
capture_output=True,
check=True,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
tests/adapters/test_adapters_common_provenance.py
[info] 64-64: use jsonify instead of json.dumps for JSON output
Context: json.dumps(fact)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
tests/python/test_model_usage.py
[info] 496-496: use jsonify instead of json.dumps for JSON output
Context: json.dumps(rates)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
tests/adapters/test_deepagents_accounting.py
[info] 539-544: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
{
"description": f"Echo {index}.",
"subagent_type": "general-purpose",
}
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 620-620: use jsonify instead of json.dumps for JSON output
Context: json.dumps(chunk)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[warning] 837-837: Do not make http calls without encryption
Context: "http://api.openai.com/v1"
Note: [CWE-319] Cleartext Transmission of Sensitive Information.
(requests-http)
Betterleaks (1.9.0)
crates/fabric-core/src/endpoint.rs
[high] 135-135: Detected a password embedded in a service connection URI, which may expose direct access to the referenced service.
(generic-credential-uri)
[high] 150-150: Detected a password embedded in a service connection URI, which may expose direct access to the referenced service.
(generic-credential-uri)
[high] 166-166: Detected a password embedded in a service connection URI, which may expose direct access to the referenced service.
(generic-credential-uri)
[high] 167-167: Detected a password embedded in a service connection URI, which may expose direct access to the referenced service.
(generic-credential-uri)
[high] 168-168: Detected a password embedded in a service connection URI, which may expose direct access to the referenced service.
(generic-credential-uri)
crates/fabric-core/src/what_ran.rs
[high] 1327-1327: Detected a password embedded in a service connection URI, which may expose direct access to the referenced service.
(generic-credential-uri)
LanguageTool
docs/sdk/python.mdx
[grammar] ~1357-~1357: Use a hyphen to join words.
Context: ...Examples are a URL with an @ after the host, a bracketed host that is not an IP...
(QB_NEW_EN_HYPHEN)
SkillSpector (2.12.0)
skills/nemo-fabric-build-adapter/SKILL.md
[warning] 1: [TR2] Shadow Command Trigger: Shadow Command Trigger: description clause 'ng adapter or target descriptors, mapping AgentConfig into an agent harness or custom-agent runtime, implementing start/invoke/stop, declaring schemas and capabilities, packaging discovery metadata, or assessing adapter conformance' conflicts with built-in command 'stop'
Remediation: Choose triggers that do not conflict with built-in commands or other skills. Prefix with a unique namespace if necessary.
Wrap the Strands runtime with the existing version reporter so its declared result key has an adapter-version producer. Keep harness and served-model facts unsupported.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
Declared adapter evidence can fail normalization. State that condition before describing nullable usage fields; the later failure paragraph already explains the retained raw evidence.
Signed-off-by: mnajafian-nv <mnajafian@nvidia.com>
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Reviewed completion-log and retry evidence, Anthropic field-presence limits, condenser coverage, vision gaps and late callbacks. Local validation: 86 OpenHands adapter/accounting/provider-presence tests passed with SDK/tools 1.50.0. Product CI/DCO are green; NVSkills evidence is missing. Merge after #458/#442. Composition with #504 currently conflicts in the invocation exception handler: retain reports.usage and the declared sdk_error extension together, then regenerate the catalog. The retained B200 invocation root cause remains unverified. Reviewed commit: 86f2fa9.
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AjayThorve
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Overview
OpenHands can retry model calls and run a model to summarize conversation history. Counting only the final successful report can hide earlier attempts, including calls completed before a task fails.
Collect completion reports and retry evidence for each invocation. Expose normalized observations and complete totals through
RunResult.model_usage. Preserve usable counts after failure, while identifying fields and calls that the SDK cannot fully account for.Dependency: #458 supplies adapter version reports and includes the shared usage contract and normalizer from #442. This change adds the harness collector. The diff against
mainincludes those unmerged prerequisites.Details
Use the completion-log callback and retry listener in OpenHands SDK 1.50.0. An empty response with usable usage is counted once even when it triggers a retry. The default history condenser shares the observed model client; dispatch to a separate vision client leaves an accounting gap.
The SDK and LiteLLM replace omitted primary counts with zero before the callback. Positive counts remain usable, but a zero cannot establish a provider-reported zero. On the Anthropic path, missing cache buckets are also replaced with zero and reasoning counts can be synthesized. Those values are not promoted to literal provider reports. Complete input requires established uncached input and both cache buckets; output can be complete independently.
Keep independent cache observations when other counts are missing. Freeze the result at return so late callbacks cannot change it or move counts to another invocation. Unfinished calls, interrupts and independently constructed clients retain collection gaps.
Accounting model identity comes from the constructed client. A custom endpoint does not establish native-provider pricing identity. OpenHands' accumulator mixes proxy costs and catalog estimates, so it is not reported as provider cost.
Validation
Focused collector, retry and provider-presence tests passed with the supported OpenHands SDK, along with provenance and catalog checks. Tests cover empty replies carrying usage, settled calls before task failure, late callbacks, cache fields and dispatched vision work.
Run the collector checks with OpenHands SDK and tools 1.50.0 installed:
Where should the reviewer start?
Start with
InvocationReports.usageandCompletionReportsinadapters/python/openhands/src/nemo_fabric_adapters/openhands/usage.py. Verify retry ownership and the Anthropic field-presence limits. Then readtests/adapters/test_openhands_accounting.pyandtest_openhands_provider_presence.py, which exercise those boundaries.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.