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@roomote roomote bot commented Jan 26, 2026

Summary

This PR attempts to address Issue #10969 (comment from @bozoweed suggesting a more generic approach).

Changes

Updated the "R1 format" setting labels and descriptions in the OpenAI Compatible provider to be more descriptive and inclusive of other reasoning/thinking models. The new labeling explicitly mentions:

  • DeepSeek R1
  • Kimi-K2
  • QWQ
  • NVIDIA NIM and other OpenAI-compatible providers

Before

  • Label: "Enable R1 model parameters"
  • Description: "Must be enabled when using R1 models such as QWQ to prevent 400 errors"

After

  • Label: "Enable reasoning model format"
  • Description: "Enable for reasoning/thinking models (DeepSeek R1, Kimi-K2, QWQ, etc.) to properly handle their response format. Required for models on NVIDIA NIM and other OpenAI-compatible providers."

Files Changed

  • Updated all 18 locale files with the improved translations

Why This Approach

Rather than creating a dedicated NVIDIA provider (as originally suggested), this follows the user suggestion to make the existing OpenAI Compatible provider more flexible by improving the labeling of the existing R1 format toggle. This approach:

  1. Makes it clearer that the setting works for any reasoning/thinking model
  2. Explicitly mentions NVIDIA NIM and other OpenAI-compatible providers
  3. Is more future-proof as new providers and models emerge
  4. Requires minimal code changes (just localization updates)

Feedback and guidance are welcome!

…ng models

Updated the "Enable R1 model parameters" setting label and description to be
more descriptive and inclusive of other reasoning/thinking models. The new
labeling explicitly mentions:
- DeepSeek R1
- Kimi-K2
- QWQ
- NVIDIA NIM and other OpenAI-compatible providers

This makes it clearer to users that the setting should be enabled when using
any reasoning/thinking model through OpenAI-compatible APIs, not just R1.

Addresses Issue #10969 (user suggestion from @bozoweed)
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roomote bot commented Jan 26, 2026

Rooviewer Clock   See task on Roo Cloud

Reviewed the new R1 format auto-detection changes. The implementation correctly expands support to reasoning/thinking models (DeepSeek R1, Kimi-K2-thinking, QWQ) with case-insensitive matching and well-documented code. No issues found.

Previous reviews

Mention @roomote in a comment to request specific changes to this pull request or fix all unresolved issues.

@bozoweed
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@roomote why did only change label ? we get a real issue about R1 usage take a look

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This may indicate an issue with the API or the model's output." }, "history": [ { "role": "user", "content": [ { "type": "text", "text": "<user_message>\nvoir pour introduire un system de \"profile utilisateur\" dans le système de sauvegarde du launcher, en gros au lieux d'utiliser directement crendentials.json, je veux un system qui permet dans le backend de stocké la configuation globla du launcher pour le client, changer de lang, avoir un dossier d'installation du jeux propre au compt, utilisé plusieur compte sur le pc et donc vouloir que chaque compte est sont propre \"profile\" sur l'application. regarde le token tu as des info sur uuid du compte (la v1 le feasait très bien )\n</user_message>" }, { "type": "text", "text": "<environment_details>\n# VSCode Visible Files\nv2\\src\\main\\main.js\n\n# VSCode Open Tabs\nv2/public/components/components.js,v2/src/core/ipcChannels.js,v2/src/renderer/preload.js,v2/public/renderer.js,../../OpenAI Compatible 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roomote bot commented Jan 26, 2026

🔧 Roo Code Fixer

✅ Fix Completed

Problem: Using reasoning/thinking models like moonshotai/kimi-k2-thinking with the OpenAI-compatible provider was returning "The language model did not provide any assistant messages" because the R1 format auto-detection only checked for deepseek-reasoner models.

Solution: Expanded the R1 format auto-detection logic in src/api/providers/openai.ts to recognize:

  • Models with -thinking suffix (e.g., kimi-k2-thinking, moonshotai/kimi-k2-thinking)
  • deepseek-r1 and /deepseek-r1 models
  • qwq models
  • Original deepseek-reasoner detection preserved

Changes:

  • Renamed deepseekReasoner variable to useR1Format for clarity
  • Added case-insensitive pattern matching for broader model compatibility
  • Updated all 3 references to use the new variable name

Commit: 9287b92

Tests: All 48 OpenAI provider tests and 20 R1 format tests pass ✓

- Auto-detect models with "-thinking" suffix (e.g., kimi-k2-thinking)
- Auto-detect DeepSeek R1 models (deepseek-r1, deepseek/deepseek-r1)
- Auto-detect QWQ models
- Renamed deepseekReasoner to useR1Format for clarity
- Users can still manually enable R1 format via the toggle

This improves support for reasoning/thinking models like Kimi-K2 that
require R1 format for proper response handling.
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3 participants