[https://nvbugs/5430124][fix] Mistral mixture_text_image test case fix

[yechank-nvidia]

Bug fix for nvbug5404005

Summary by CodeRabbit

• Tests
  • Updated test inputs for multimodal media fields to use string values instead of lists.
  • Revised expected keywords for specific model and modality in test cases.

[coderabbitai]

📝 Walkthrough

Walkthrough

The test test_ptp_quickstart_multimodal in tests/integration/defs/test_e2e.py was updated. The "media" field for the "mixture_text_image" modality now uses an empty string instead of an empty list, and the expected output keywords for the "mistral-small-3.1-24b-instruct" model were changed.

Changes

Cohort / File(s)	Change Summary
Test input and expectation updates tests/integration/defs/test_e2e.py	Modified the "media" field format in the "mixture_text_image" modality and updated expected keywords for a model.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Possibly related PRs

• [nvbugs/5414909] fix: Qwen2-VL keyword on L20 #6427: Also updates expected keyword outputs in test_ptp_quickstart_multimodal, but for different models/modalities.
• [fix] Fix flaky mistral E2E test #6230: Modifies expected keywords for the same model in the same test, but for different modalities and keyword sets.

Suggested reviewers

• venkywonka
• liji-nv

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📥 Commits

Reviewing files that changed from the base of the PR and between 9a01934 and 2c6423b.

📒 Files selected for processing (1)

• tests/integration/defs/test_e2e.py (2 hunks)

🧰 Additional context used

📓 Path-based instructions (2)

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Files:

• tests/integration/defs/test_e2e.py

**/*.{cpp,h,cu,py}

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Files:

• tests/integration/defs/test_e2e.py

🧠 Learnings (1)

📓 Common learnings

Learnt from: moraxu
PR: NVIDIA/TensorRT-LLM#6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
Timestamp: 2025-07-28T17:06:08.621Z
Learning: In TensorRT-LLM testing, it's common to have both CLI flow tests (test_cli_flow.py) and PyTorch API tests (test_llm_api_pytorch.py) for the same model. These serve different purposes: CLI flow tests validate the traditional command-line workflow, while PyTorch API tests validate the newer LLM API backend. Both are legitimate and should coexist.

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• GitHub Check: Pre-commit Check

🔇 Additional comments (2)

tests/integration/defs/test_e2e.py (2)

2168-2168: LGTM - Fixes media field data structure consistency.

The change from an empty list to an empty string makes the media field consistent, as both elements should be strings (the second element is already a string path).

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2229-2229: LGTM - Updates expected keywords for test robustness.

The updated keywords appear to be more generic and robust for the image recognition test, moving away from overly specific landmark references.

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[yechank-nvidia]

/bot run

[tensorrt-cicd]

PR_Github #14228 [ run ] triggered by Bot

[tensorrt-cicd]

PR_Github #14228 [ run ] completed with state SUCCESS
/LLM/main/L0_MergeRequest_PR pipeline #10745 completed with status: 'SUCCESS'