[pull] main from inclusionAI:main#28
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pull[bot] merged 3 commits intoaxistore80-coder:mainfrom Apr 7, 2026
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) Allow the inference service examples to switch rollout backends and fall back to the vLLM tool call parser when optional backends are unavailable. Key changes: - Add vLLM tool call parser fallback in experimental OpenAI client - Use vLLM ReasoningParserManager for dynamic think token detection - Broaden exception handling for vLLM reasoning parser initialization - Add backend selection support to inference service demos - Pass tokenizer to tool call parser for vLLM compatibility - Refactor parser tests for optional backend handling
Add __post_init__ validation for tracking mode fields to catch
configuration errors early:
- WandBConfig: validate mode is one of {online, offline, disabled, shared}
- SwanlabConfig: validate mode is one of {cloud, local, disabled, offline}
- Use field() with metadata (help + choices) for CLI help consistency
- Fix SwanlabConfig.mode type hint: str | None -> str
- Format error messages as comma-separated lists for readability
BREAKING CHANGE: Invalid mode values that were previously silently
accepted will now raise ValueError at config initialization.
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: enable LoRA training pipeline with Megatron - load model and run initial training step - integrate LoRA with PP=1, TP=1 - establish baseline reward improvements * feat: add tensor and pipeline parallel support - enable TP/PP configs in Megatron engine - add YAML/config support for parallel setups - fix integration issues across parallel modes - cleanup codebase and update documentation * chore: missed docs files and gemini recommendations * chore: addressed PR comments and improved docs
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