fix(inference): bound Spark llama.cpp request bodies

[prekshivyas]

Part of #9592. Production enforcement depends on #9600.

Summary

• cap the Muse Glimmer Spark llama.cpp recipe at 16 KiB and the Nemotron Spark recipe at 32 KiB
• add an exact-size request-body qualification probe: the declared boundary must succeed, 50,000 bytes must return a structured 413, and immediate health plus a normal completion must still succeed
• update the owned llama.cpp image to revision 8e7f22b67ef4667b4ddd50230771287f328cfb3f, already declared by the Muse recipe, and permit its --jinja / --chat-template-kwargs launch arguments through the request guard
• refresh the Ubuntu curl package pins from .11 to the currently published .12 build so the owned image remains reproducible

Root cause and impact

On DGX Spark, llama.cpp can terminate while handling an authenticated request far below the configured context window. The raw Muse runtime closed an exact 50,000-byte request, incremented Docker RestartCount, and reloaded the model. This was not an OOM.

Hardware testing also disproved the initial 32 KiB candidate for Muse: an exact 32,768-byte request made the child upstream unavailable and left immediate health and continuation at 502. A conservative 16 KiB Muse boundary passed. Nemotron remains safe at 32 KiB.

DGX Spark evidence

Host: NVIDIA GB10, Ubuntu 24.04.4 LTS arm64, driver 580.159.03, Docker 29.2.1.

Locally built owned image: sha256:d1cce88e51c33a3de634caaef421cf4268a7e00ca0580260dad809cb22c13a48

Model	Accepted request	Oversized request	RestartCount	Immediate health	Continuation
Muse Glimmer	16,384 bytes → 200	50,000 bytes → 413 request_body_too_large	0 → 0	200 in 6 ms	200
Nemotron 3 Nano	32,768 bytes → 200	50,000 bytes → 413 request_body_too_large	0 → 0	200 in 8 ms	200

The original raw Muse reproduction used the recipe-pinned image and exact 50,000-byte body: curl exit 52 / HTTP 000, RestartCount 0 → 1, OOMKilled false, and health returned after 5,745 ms.

Validation

• npm run checks:repository
• npm run typecheck:cli
• npm --prefix nemoclaw run typecheck
• npm run format:check
• 150 focused integration tests
• 29 host-local runtime tests
• complete request-guard Go test suite
• pre-commit catalog, repository, hadolint, gitleaks, source-shape, and growth checks
• native ARM64 CUDA image build and live Muse/Nemotron hardware qualification

Scope boundary

This change establishes model-specific safe request boundaries and qualifies the owned guard path. It does not resolve #9600: the production managed launch path still bypasses the request guard, so #9600 remains the production-enforcement dependency.

Signed-off-by: Prekshi Vyas 34834085+prekshivyas@users.noreply.github.com

Summary by CodeRabbit

• New Features

  • Added validation for request body size limits, including accepted and oversized request scenarios.
  • Oversized requests now return a clear HTTP 413 error while subsequent health and completion requests continue normally.
  • Added support for additional llama.cpp configuration options, including chat template parameters and Jinja templating.

• Bug Fixes

  • Reduced configured request body limits to improve protection against oversized payloads.
  • Updated llama.cpp and runtime components for improved reliability and compatibility.

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• test/managed-inference-catalog-compiler.test.ts

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📝 Walkthrough

Walkthrough

The change adds llama.cpp request-body boundary qualification, enforces a 32 KiB configured limit, validates 50,000-byte rejection behavior, updates command options and source pins, and extends catalog and qualification tests.

Changes

llama.cpp configuration and serving limits

Layer / File(s)	Summary
Image, command, and serving configuration managed-inference/images/llama-cpp/image.yaml, managed-inference/images/llama-cpp/request-guard/main.go, managed-inference/images/llama-cpp/request-guard/main_test.go, managed-inference/recipes/*llama-cpp*.yaml	The image and recipes update llama.cpp revisions, package pins, qualification probes, command options, and request-body limits.
Request-limit contract scripts/checks/llama-cpp-dgx-spark-qualification-contract.mts	The qualification contract defines the 32,768-byte limit, 50,000-byte rejection threshold, receipt schema, required probe, and validation rules.
Boundary probe execution scripts/checks/llama-cpp-dgx-spark-protocol-qualification.mts	The protocol qualification sends exact-size requests, checks HTTP 200 and HTTP 413 responses, verifies continuation, and records evidence.
Qualification and catalog validation test/llama-cpp-dgx-spark-protocol-qualification.test.ts, test/llama-cpp-dgx-spark-qualification-contract.test.ts, test/managed-inference-catalog-compiler.test.ts	Tests model the rejected response, validate receipt evidence and continuation behavior, and assert catalog request limits and model settings.

Estimated code review effort: 3 (Moderate) | ~20 minutes

Merge Risk: 🔵 Low · up to 331a9

The change protects the owned Spark llama.cpp recipes by rejecting oversized requests while preserving health and normal completions, but the managed production launch still bypasses this protection until #9600 lands. The PR is mergeable with explicit owner awareness that production enforcement remains incomplete.

Sequence Diagram(s)

sequenceDiagram
  participant QualificationScript
  participant llama-server
  participant QualificationReceipt
  QualificationScript->>llama-server: Send 32,768-byte request
  llama-server-->>QualificationScript: HTTP 200
  QualificationScript->>llama-server: Send 50,000-byte request
  llama-server-->>QualificationScript: HTTP 413 request_body_too_large
  QualificationScript->>llama-server: Check health and completion
  llama-server-->>QualificationScript: Return continuation statuses
  QualificationScript->>QualificationReceipt: Record boundary evidence

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Possibly related PRs

• NVIDIA/NemoClaw#9660: Updates shared llama.cpp curl package pins.

Suggested labels: area: inference, bug-fix, security, platform: linux

Suggested reviewers: jyaunches, senthilr-nv, cv

🚥 Pre-merge checks | ✅ 3 | ❌ 2

❌ Failed checks (2 warnings)

Check name	Status	Explanation	Resolution
Linked Issues check	⚠️ Warning	The PR qualifies request-body limits but does not deploy the request guard, so the core production-enforcement requirement in [#9600] remains unmet.	Deploy the request guard as the container entrypoint, bind llama-server to loopback, and pass the declared limits through the managed launch path.
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly summarizes the primary change: limiting request bodies for Spark llama.cpp inference.
Out of Scope Changes check	✅ Passed	The source updates, request-guard options, package pins, catalog limits, qualification probes, and tests all support the stated request-body enforcement objectives.

✨ Finishing Touches 💡 1

📝 Generate docstrings 💡

• Create stacked PR
• Commit on current branch

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch agent/fix-9592-muse-request-limit

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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents

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Inline comments:
In `@managed-inference/images/llama-cpp/image.yaml`:
- Line 75: Production managed serving bypasses the request guard, so activate it
in managed-inference/images/llama-cpp/image.yaml:75. In
managed-inference/recipes/llama-cpp.nemotron-3-nano-30b-a3b.spark-single.v1.yaml:89
and
managed-inference/recipes/llama-cpp.muse-glimmer-30b.spark-single.v1.yaml:91,
route serving through the request guard and pass maxRequestBodyBytes to it.

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Fix all unresolved CodeRabbit comments on this PR:

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ℹ️ Review info

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📥 Commits

Reviewing files that changed from the base of the PR and between 01e0b92 and ac05d39.

📒 Files selected for processing (12)

• managed-inference/images/llama-cpp/Dockerfile
• managed-inference/images/llama-cpp/image.yaml
• managed-inference/images/llama-cpp/request-guard/main.go
• managed-inference/images/llama-cpp/request-guard/main_test.go
• managed-inference/recipes/llama-cpp.muse-glimmer-30b.spark-single.v1.yaml
• managed-inference/recipes/llama-cpp.nemotron-3-nano-30b-a3b.spark-single.v1.yaml
• scripts/checks/export-llama-cpp-image-config.mts
• scripts/checks/llama-cpp-dgx-spark-protocol-qualification.mts
• scripts/checks/llama-cpp-dgx-spark-qualification-contract.mts
• test/llama-cpp-dgx-spark-protocol-qualification.test.ts
• test/llama-cpp-dgx-spark-qualification-contract.test.ts
• test/managed-inference-catalog-compiler.test.ts

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[github-actions]

PR Review Advisor — No blocking findings reported

Advisor assessment: No blocking advisor findings reported
Next action: No advisor follow-up needed.
Findings: 0 blockers · 0 warnings · 0 suggestions

Model lanes

• GPT-5.6 Terra (primary): Completed · high confidence · 0 blockers · 0 warnings · 0 suggestions
• Nemotron 3 Ultra (second opinion): Completed · high confidence · 0 blockers · 0 warnings · 0 suggestions
• Model comparison: normalized findings match; normalized terminology decisions differ; normalized E2E selections differ; severity counts match.

3 terminology differences from the second opinion

Advisory only. These are normalized differences from the primary terminology receipt.

• jinja at managed-inference/images/llama-cpp/request-guard/main.go:110: selected only by the second-opinion lane as established.
• chat-template-kwargs at managed-inference/images/llama-cpp/request-guard/main.go:105: selected only by the second-opinion lane as established.
• request-body-limit at managed-inference/images/llama-cpp/image.yaml:75: selected only by the second-opinion lane as established.

Second-opinion terminology and E2E selections are advisory. Live E2E does not run automatically for pull requests.

2 semantic terminology decisions

Terminology decisions are advisory. They affect the assessment only when a separate finding identifies concrete semantic impact.

• established — request-body limit at managed-inference/images/llama-cpp/image.yaml:75: Keep the established term for the new probe and its evidence.
• established — qualification at test/llama-cpp-dgx-spark-qualification-contract.test.ts:912: Keep the established term.

E2E guidance

Advisory only. A maintainer can dispatch the default E2E suite for the commit under review.

Recommended E2E: inference-routing

Manual-only E2E: managed-image-multiarch-startup, network-policy
The manual PR workflow does not run these selectors for the commit under review. Run them from reviewed code on main.

1 optional E2E recommendation

• llama-cpp-dgx-spark-qualification

Workflow run details

This automated review informs maintainers. Warnings and suggestions do not require a response. A maintainer decides whether to merge.

[github-code-quality]

Code Coverage Overview

Languages: TypeScript

TypeScript / code-coverage/plugin

The overall line coverage in commit 331a9ec in the agent/fix-9592-muse-... branch remains at 96%, unchanged from commit 4fa8f85 in the main branch.

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_{Updated August 20, 2026 00:16 UTC}

[senthilr-nv]

Reviewed commit 331a9ec against #9592 and the accepted scope split that leaves production request-guard deployment to #9600. The model-specific limits, direct-exec option allowlist, exact-byte boundary, structured 413 and continuation probes, source pin, and receipt and catalog contracts are consistent. Focused evidence: 127 affected TypeScript tests pass; the request-guard Go suite passes except for an unchanged Go 1.25.6 shutdown timing assertion; the pinned source archive checksum matches. The nine-category security review and cross-issue sweep found no blocking issue or adjacent conflict.