[TRTLLM-8246][test] add multimodal kvcache+chunked_prefil cases in to QA test list

[crazydemo]

Summary by CodeRabbit

• Tests
  • Expanded integration and end-to-end coverage for multimodal pipelines, adding variants for KV cache reuse and chunked prefill across multiple vision-language models with image and video inputs.
  • Appended new test entries only; no changes to test logic, runtime behavior, or public interfaces.
  • Enhances confidence in multimodal performance and compatibility across supported backends without impacting existing user workflows.

Description

Test Coverage

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[crazydemo]

/bot run --skip-test

[tensorrt-cicd]

PR_Github #20344 [ run ] triggered by Bot

[coderabbitai]

📝 Walkthrough

Walkthrough

Appends new multimodal test entries to two QA integration test list files for KV cache reuse and chunked prefill scenarios across multiple models (image and video). No code or logic changes; only list updates.

Changes

Cohort / File(s)	Summary
QA test lists — multimodal additions tests/integration/test_lists/qa/llm_function_core.txt, tests/integration/test_lists/qa/llm_function_nim.txt	Appended entries for multimodal tests: test_ptp_quickstart_multimodal_kv_cache_reuse and test_ptp_quickstart_multimodal_chunked_prefill across models including Mistral-Small-3.1-24B-Instruct-...-image, LLaVA v1.6 Mistral 7B ...-image, Phi-4 multimodal ...-image, Qwen2.5-VL-7B-Instruct ...-image and ...-video; duplicated as needed in both main and end-to-end sections.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description Check	⚠️ Warning	The PR description only includes the template placeholders and helper text without any actual summary of changes, explanation of the issue or solution, or details of test coverage, so it does not fulfill the required sections of the repository’s description template.	Please fill in the @coderabbitai summary with a concise overview of the changes, complete the ## Description section with the rationale and approach, and detail the specific test cases added under ## Test Coverage to satisfy the template requirements.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title Check	✅ Passed	The title follows the required [JIRA ticket][type] Summary format and clearly conveys the primary change by indicating the addition of multimodal KV cache and chunked prefill test cases to the QA test list, making it immediately apparent what the PR introduces.
Docstring Coverage	✅ Passed	No functions found in the changes. Docstring coverage check skipped.

✨ Finishing touches

🧪 Generate unit tests

• Create PR with unit tests
• Post copyable unit tests in a comment

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📜 Recent review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 948b8b9 and 39a5800.

📒 Files selected for processing (2)

• tests/integration/test_lists/qa/llm_function_core.txt (1 hunks)
• tests/integration/test_lists/qa/llm_function_nim.txt (1 hunks)

⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)

• GitHub Check: Pre-commit Check

🔇 Additional comments (2)

tests/integration/test_lists/qa/llm_function_core.txt (1)

660-669: LGTM! Test entries are well-formed and align with PR objectives.

The additions of multimodal KV cache reuse and chunked prefill test cases are correctly formatted and cover multiple models (Mistral, LLaVA, Phi4, Qwen2.5) with both image and video modalities.

tests/integration/test_lists/qa/llm_function_nim.txt (1)

185-194: LGTM! Consistent parallel additions to the NIM test list.

The test entries mirror those added to llm_function_core.txt, ensuring comprehensive coverage of multimodal KV cache reuse and chunked prefill scenarios across both core and NIM test suites.

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[tensorrt-cicd]

PR_Github #20344 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #15348 (Partly Tested) completed with status: 'SUCCESS'