- Add debug logging to track aiResponse vs result.text content
- Use result.text from extractReasoningMiddleware for final content
- This should provide the properly cleaned text without thinking tags
- Comment out unused sidebar and edit functionality to fix TS errors
The result.text should contain content that has been automatically
cleaned by the extractReasoningMiddleware, while result.reasoning
contains the extracted thinking content.
- Add multiple regex passes to handle various think tag scenarios
- Remove standalone <think> and </think> tags that might remain
- Clean leading whitespace after tag removal
- Add debug logging to track text cleaning process
- Handle streaming cases where tags appear before closing tags arrive
This provides more robust cleaning to ensure no think tags appear
in the final message content during streaming scenarios.
- Add regex-based cleaning to remove <think>...</think> tags from display text
- Handle both closed and unclosed think tags in streaming content
- Apply cleaning only for reasoning-capable models to avoid unnecessary processing
- Update conversation content with cleaned response instead of raw response
This ensures thinking tags are extracted for reasoning display but don't
appear in the main message content, providing a clean user experience.
- Import extractReasoningMiddleware and wrapLanguageModel from AI SDK
- Wrap reasoning-capable models with extractReasoningMiddleware
- Use 'think' as tagName to parse <think> XML blocks from models
- Enable startWithReasoning option to handle models missing reasoning tags
- Extract reasoning from result.reasoning after stream completes
- Remove manual reasoning event handling and provider-specific config
This fixes the issue where thinking blocks appeared as raw XML tags
instead of parsed reasoning content. The middleware automatically
extracts reasoning from <think> tags and exposes it via result.reasoning.
- Add reasoning field to AssistantMessage type
- Create ReasoningBlock component with truncate/expand functionality
- Add reasoning-capable models (Qwen QwQ, DeepSeek R1, Qwen 3 32B)
- Implement reasoning event handling in stream processing
- Enable reasoning format for Groq and Anthropic models
- Style reasoning blocks with grey border and reduced font size
- Display reasoning above assistant messages when available
The reasoning blocks show truncated thinking tokens by default and
expand on click to show full reasoning process from models like
Qwen3-32b that support step-by-step reasoning output.
