test: switch LLM API tests to qwen3.7-max

[cmgzn]

Updates LLM API-based tests to use qwen3.7-max instead of qwen2.5-72b-instruct.

This avoids failures caused by restricted or unavailable access to the previous model in CI.

Validation:

• Ran lightweight Python compile check for affected test directories
• Verified no lint errors
• Did not run full test suite locally; full validation should run in official CI

[gemini-code-assist]

Code Review

This pull request updates the API model and tokenizer name from 'qwen2.5-72b-instruct' to 'qwen3.6-plus' across multiple test files. However, 'qwen3.6-plus' appears to be an invalid or non-existent model name, which will cause API calls and tokenizer loading to fail during test execution. It is recommended to correct this to a valid model name, such as 'qwen-plus'.

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[fengrui-z]

Code uses qwen3.7-max everywhere, but PR title says qwen3.6-plus. Fix the title.

sampling_params is misaligned in several dialog_* test files — not matching the other keyword args.

Unrelated changes:

• uv.lock swaps bs4 → beautifulsoup4 — not related to model migration.
• test_llm_analysis_filter.py rewrites RFT test data and adds min_score=0.7 — behavioral change beyond a model swap.

PR description says tests weren't run locally. qwen3.7-max may produce different output formats; recommend at least running the affected tests before merge.

[cmgzn]

Thanks for the thorough review! Here are my responses:

1. PR title says qwen3.6-plus but code uses qwen3.7-max: The original qwen3.6-plus had 2–3 tests that repeatedly failed, so I switched to qwen3.7-max. I'll update the PR title and description once all tests pass.

2. uv.lock swaps bs4 → beautifulsoup4: This is a leftover from PR Replace bs4 stub with beautifulsoup4 in dependencies #977 which swapped "bs4" for "beautifulsoup4" in pyproject.toml dependencies but didn't sync uv.lock. Opening a separate PR for this seems not worth it, so I've included the fix here.

3. test_llm_analysis_filter.py RFT test data rewrite & min_score=0.7: After the model swap, the RFT tests became flaky — LLM scoring tests are inherently unstable. I adjusted the test data to widen the quality gap between samples and raised min_score to improve reliability.

4. sampling_params misalignment in dialog_ test files*: Fixed! All sampling_params keyword args are now properly aligned with other keyword arguments across test_dialog_topic_detection_mapper.py, test_dialog_sentiment_detection_mapper.py, test_dialog_intent_detection_mapper.py, and test_dialog_sentiment_intensity_mapper.py.

[fengrui-z]

LGTM