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tests: refresh retired model pins for nebius, portkey, moonshot - #1373
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Suggested reviewers: Merge Risk: 🟡 Moderate · up to This updates the models used by Portkey reasoning, Moonshot structured-response, and Nebius image integration coverage. Without live provider runs, the new pins may leave those integration tests failing or no longer verify the intended capabilities, so validation is needed before merge. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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In `@tests/conftest.py`:
- Line 86: Run the provider integration tests for the configured
LLMProvider.PORTKEY, LLMProvider.MOONSHOT, and LLMProvider.NEBIUS models before
merging; verify PORTKEY completion and streaming reasoning responses contain
non-empty message.reasoning.content, MOONSHOT structured responses parse
city_name as Paris, and NEBIUS image completion returns non-empty content.
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tests/conftest.py
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Nebius retired Qwen/Qwen2.5-VL-72B-Instruct and Qwen/Qwen3-32B, which 404s test_completion_with_image[nebius] and both reasoning tests for portkey, whose virtual key routes to Nebius. Moonshot's kimi-k2.6 ignores a json_schema response_format and answers in prose, which fails both response_format tests with a pydantic json_invalid error. Point the image pin at google/gemma-3-27b-it, the reasoning pin at Qwen/Qwen3.5-397B-A17B, and moonshot at kimi-k3, whose API documents json_schema structured output. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Description
Five integration tests have been red on
mainfor at least three runs (33753751298, 33754482709, 33860577088), all from provider-side model changes rather than a regression:test_completion_with_image[nebius]— 404,Qwen/Qwen2.5-VL-72B-Instructretired at Nebius.test_completion_reasoning[portkey]and..._streaming[portkey]— 404 with'provider': 'nebius',Qwen/Qwen3-32Bretired at the same upstream the virtual key routes to.test_response_format[moonshot]andtest_response_format_dataclass[moonshot]— no HTTP error;kimi-k2.6ignores thejson_schemaresponse_format and answers in prose ('The capital of France is **Paris**.'), soparse_json_contentraisesjson_invalid.Repins the three models:
google/gemma-3-27b-it. Nebius serves it and Gemma 3 takes image input.Qwen3.5-397B-A17Bis multimodal upstream but Nebius tags its catalog entry text-to-text, so it is not a drop-in for the vision test.@nebius-any-llm/Qwen/Qwen3.5-397B-A17B. TheQwen3-235B/30B-...-Instruct-2507alternatives are non-thinking variants and would trade the 404 for a failedreasoning.contentassertion.kimi-k3. Its API documentsresponse_format: {"type": "json_schema"}structured output, andtest_together_response_format_on_strict_modelalready pinsmoonshotai/Kimi-K3for exactly that. The moonshot reasoning pin stays onkimi-k2.6, which passes today.PR Type
Relevant issues
None filed.
Checklist
Notes on the two unchecked boxes: this is a test-fixture pin change, so there is nothing to unit test beyond the existing suite (
uv run pytest tests/unitgreen, 2434 passed / 69 skipped;uv run pre-commit runclean). I could not run the integration tests locally — no NEBIUS, PORTKEY, or MOONSHOT keys in my env. Needs therun-integration-testslabel. One pin is unverified against a live call: whether Nebius surfaces Qwen3.5's thinking asreasoning_content. Registry providers have no<think>-tag fallback, so if it does not, the portkey reasoning tests will fail on the assertion instead of a 404.AI Usage Information
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