[#11569][fix] Fix broken LLMAPI config

[2ez4bz]

Summary by CodeRabbit

• Chores
  • Restructured GPU memory cache configuration in example configuration files to improve parameter organization and maintainability while preserving all values.

Fix broken LLMAPI config

This fixes the issue uncovered here.

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[coderabbitai]

📝 Walkthrough

Walkthrough

A configuration file restructuring that nests the KV cache free GPU memory fraction parameter under a new kv_cache_config dictionary instead of maintaining it as a top-level key. The parameter value and functionality remain unchanged.

Changes

Cohort / File(s)	Summary
Configuration restructuring examples/configs/curated/qwen3.yaml	Moved kv_cache_free_gpu_memory_fraction from top-level key to nested kv_cache_config dictionary structure, changing the configuration path from direct access to nested access.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 inconclusive)

Check name	Status	Explanation	Resolution
Description check	❓ Inconclusive	The description links to the issue but lacks detail on what the actual problem is and how the nested kv_cache_config change resolves it; Test Coverage section is empty.	Add a brief explanation of the specific configuration issue (nested kv_cache_config change) and list relevant tests that validate the fix.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title '[#11569][fix] Fix broken LLMAPI config' clearly and specifically identifies the main change as a fix to an LLMAPI configuration, following the repository's template format.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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[coderabbitai]

Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@examples/configs/curated/qwen3.yaml`:
- Around line 3-4: The new config uses a nested key
(kv_cache_config.free_gpu_memory_fraction) while eight other curated configs
still use the flat top-level key kv_cache_free_gpu_memory_fraction, leaving the
repo inconsistent; either (A) update the other curated YAMLs to the nested
structure so all configs use kv_cache_config.free_gpu_memory_fraction, or (B)
make the config loader accept both patterns by checking for
kv_cache_config.free_gpu_memory_fraction first and falling back to
kv_cache_free_gpu_memory_fraction (or vice versa) and normalizing into one
internal field; reference the keys kv_cache_config, free_gpu_memory_fraction,
and kv_cache_free_gpu_memory_fraction when making the change.

[2ez4bz]

/bot run --disable-fail-fast

[tensorrt-cicd]

PR_Github #36178 [ run ] triggered by Bot. Commit: 5110627 Link to invocation

[tensorrt-cicd]

PR_Github #36178 [ run ] completed with state FAILURE. Commit: 5110627
/LLM/main/L0_MergeRequest_PR pipeline #27961 completed with status: 'FAILURE'

⚠️ Action Required:

• Please check the failed tests and fix your PR
• If you cannot view the failures, ask the CI triggerer to share details
• Once fixed, request an NVIDIA team member to trigger CI again

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[wzhao18]

Thanks for the fix. I've seen other places of the repo using the same old pattern, e.g., https://github.com/NVIDIA/TensorRT-LLM/tree/main/examples/configs/curated. It would be great to fix all of them.

[2ez4bz]

/bot run --disable-fail-fast

[tensorrt-cicd]

PR_Github #36313 [ run ] triggered by Bot. Commit: 5110627 Link to invocation

[tensorrt-cicd]

PR_Github #36313 [ run ] completed with state SUCCESS. Commit: 5110627
/LLM/main/L0_MergeRequest_PR pipeline #28085 completed with status: 'SUCCESS'

Link to invocation