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* 🔨 chore: update .vscode/settings.json (#13894) * 🐛 fix(builtin-tool-local-system): honor glob scope in local system tool (#13875) Made-with: Cursor * 📝 docs: Update changelog docs and release skills (#13897) - Update changelog documentation format across all historical changelog files - Merge release-changelog-style skill into version-release skill - Update changelog examples with improved formatting and structure Made-with: Cursor --------- Co-authored-by: YuTengjing <ytj2713151713@gmail.com> Co-authored-by: Innei <i@innei.in>
35 lines
1.7 KiB
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35 lines
1.7 KiB
Text
---
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title: DeepSeek R1 Integration with Chain-of-Thought Transparency
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description: LobeHub now supports DeepSeek R1 with real-time reasoning display, making complex problem-solving more transparent and easier to follow.
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tags:
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- LobeHub
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- DeepSeek
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- Chain of Thought
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---
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# DeepSeek R1 Integration with Chain-of-Thought Transparency
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LobeHub v1.49.12 now supports DeepSeek R1 across both Community and Cloud editions. This integration brings the model's reasoning process into full view, so you can follow how complex questions are solved step by step.
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## Transparent reasoning in every conversation
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DeepSeek R1's chain-of-thought capability is now fully integrated. When the model works through a problem, you see its reasoning unfold in real time rather than receiving only the final answer.
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In practice, this means debugging a script, working through a math problem, or analyzing a complex topic becomes more collaborative. You can see where the model's logic aligns with your intent and where it might need clarification. The reasoning display appears naturally in the conversation flow without cluttering the interface.
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## How to use DeepSeek R1
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1. Upgrade to LobeHub v1.49.12 or visit [LobeHub.com](https://LobeHub.com)
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2. Select DeepSeek R1 from the model dropdown
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3. Start a conversation and watch the reasoning appear as the model thinks through your request
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## Improvements and fixes
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- Fixed reasoning content parsing for consistent display across different response types
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- Improved chain-of-thought rendering performance for long reasoning sequences
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## Credits
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Thanks to the community members who contributed to this release:
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@arvinxx @hezhijie0327 @lobehub-team
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