feat(ci): add wiki-search integration test#2536
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
PrimeIntellect/Qwen3-0.6B is not in MODEL_RENDERER_MAP so it falls back to DefaultRenderer, which has supports_tools=False unless tool_parser is explicitly set. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
hermes is the vLLM server-side parser name; the renderer uses qwen3. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…ero-adv filter - max_turns=2: caps sequential API calls per rollout (embedding + judge) - rollouts_per_example=4: 8 unique examples per batch, better reward variance - zero_advantage enforce=false: avoids retry cycles when all rewards tie - max_completion_tokens=512: cap completion length Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
wiki-searchintegration test to the CI matrix to cover tool call environments, which are currently untestedconfigs/ci/integration/wiki_search.toml: 5 steps, batch size 32,PrimeIntellect/Qwen3-0.6B, withtool_call_parser = "hermes"vmrunner job in.github/workflows/gpu_tests.yamlalongsidealphabet_sortNotes
PrimeIntellect/Qwen3-0.6Bis not inMODEL_RENDERER_MAPin the renderers submodule, so it falls back toDefaultRendererwhich hassupports_tools=Falseunlesstool_parseris explicitly set. The CI config therefore sets both[orchestrator.renderer] tool_parser = "hermes"(renderer-side) and[inference.model] tool_call_parser = "hermes"(vLLM server-side).