```
❯ gemini
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Tips for getting started:
1. Ask questions, edit files, or run commands.
2. Be specific for the best results.
3. Create GEMINI.md files to customize your interactions with Gemini.
4. /help for more information.
> When the assistant responds with a longer message including markdown markup, the UI renders it out but it ends up looking too spaced out. Can you investigate what library we're using
to render the mark down and whether it's possible to tweak the visual spacing to keep things a little bit tighter. I'm thinking in particular headings and lists as well as the overall
line height is a touch too big.
✦ Of course. I'll investigate the markdown rendering and propose changes to tighten up the spacing. First, I'll check the project's dependencies to identify the markdown library being
used.
╭───────────────────────────╮
│ ✔ ReadFile package.json │
╰───────────────────────────╯
✦ react-markdown is being used. Spacing is likely controlled by the @tailwindcss/typography plugin. I'll find where react-markdown is used to see how to adjust the styles.
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ ✔ SearchText 'react-markdown' within src │
│ │
│ Found 2 matche(s) │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
✦ The search results indicate that react-markdown is used in AssistantMessage.tsx and ChatMessage.tsx. I'll examine AssistantMessage.tsx to see how the typography styles are applied.
╭────────────────────────────────────────────────╮
│ ✔ ReadFile src/messages/AssistantMessage.tsx │
╰────────────────────────────────────────────────╯
✦ The prose and prose-zinc classes from @tailwindcss/typography are being used. I'll now inspect the tailwind.config.js file to see how the typography plugin is configured. This will
help me determine the best way to override the default spacing.
╭─────────────────────────────────╮
│ ✔ ReadFile tailwind.config.js │
╰─────────────────────────────────╯
✦ The tailwind.config.js file has some basic overrides, but nothing that affects the spacing of headings or lists. I can add some CSS to the typography configuration to reduce the
margins on headings and lists.
Here's the plan:
1. I'll modify the tailwind.config.js to add custom CSS to the typography plugin that reduces the top and bottom margins for headings (h1, h2, h3) and lists (ul, ol).
2. I'll also reduce the line-height of the prose.
I'll start by modifying the tailwind.config.js file.
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ ✔ Edit tailwind.config.js: DEFAULT: {... => DEFAULT: {... │
│ │
│ 5 typography: { │
│ 6 DEFAULT: { │
│ 7 css: { │
│ 8 + '--tw-prose-body': '14px', │
│ 9 + h1: { │
│ 10 + marginTop: '1em', │
│ 11 + marginBottom: '0.5em', │
│ 12 + }, │
│ 13 + h2: { │
│ 14 + marginTop: '1em', │
│ 15 + marginBottom: '0.5em', │
│ 16 + }, │
│ 17 + h3: { │
│ 18 + marginTop: '1em', │
│ 19 + marginBottom: '0.5em', │
│ 20 + }, │
│ 21 + ul: { │
│ 22 + marginTop: '0.5em', │
│ 23 + marginBottom: '0.5em', │
│ 24 + }, │
│ 25 + ol: { │
│ 26 + marginTop: '0.5em', │
│ 27 + marginBottom: '0.5em', │
│ 28 + }, │
│ 29 pre: { │
│ 30 padding: '0', │
│ 31 filter: 'brightness(96%)', │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
✦ Now that I've modified the tailwind.config.js file, you'll need to restart the development server to see the changes. After you've done that, the spacing in the markdown should be
much tighter. Let me know if you'd like any further adjustments
> /quit
╭──────────────────────────────────╮
│ │
│ Agent powering down. Goodbye! │
│ │
│ │
│ Cumulative Stats (1 Turns) │
│ │
│ Input Tokens 52,193 │
│ Output Tokens 864 │
│ Thoughts Tokens 379 │
│ ────────────────────────────── │
│ Total Tokens 53,436 │
│ │
│ Total duration (API) 25.7s │
│ Total duration (wall) 17m 57s │
│ │
╰──────────────────────────────────╯
1 Gemini CLI
```
- Add newServerTransportType state for next server to be added
- Move toggle to left side directly after 'Add New Server' label
- Add transportType to McpServer interface to store per-server transport
- Update connections to use server-specific transport type
- Change toggle styling to rounded-full (pill style)
- Remove existingToolCall and existingToolResult checks
- Add every API event as a new message regardless of duplicates
- Provides complete unfiltered log of all API data after middleware
- Useful for debugging and understanding raw data flow
- Replace complex message summaries with JSON.stringify(conv.messages)
- Provides direct, unfiltered view of message data structure
- Easier to inspect actual data and debug issues
- Show entire messages array after each new message addition
- Include message index, role, content/reasoning status, and tool info
- Add final conversation state with content/reasoning lengths
- Provides complete visibility into data structure evolution
- Add debugMessages helper function that logs with [Messages] prefix
- Log when new messages are added to conversation (not updates)
- Log reasoning assistant messages, tool calls, tool results, and content messages
- Log stream processing completion and function completion
- Debug logging enabled with localStorage.setItem('USE_MCP_DEBUG', 'true')
- Remove all debugLog calls and debug infrastructure
- Simplify error logging by removing verbose prefixes
- Fix unused options parameter to eliminate warnings
- Clean up formatting and extra blank lines
- Remove extractReasoningMiddleware as it expects <think> tags but API sends reasoning fields directly
- Ensure reasoning and content tokens create separate assistant messages
- Filter empty assistant messages at conversation level to prevent empty divs
- Add deduplication for tool results to prevent duplicates
- Only render content div when message has actual content
- End reasoning phase as soon as first tool-call event is detected
- Set reasoningEndTime and stop reasoning streaming immediately
- Creates linear flow: thinking expands → tool call (thinking collapses) → tool result → final response
- More aggressive/responsive UX that doesn't wait for final response to collapse thinking
- Remove logic that updates existing assistant message
- Always create new final response message at end of conversation
- This ensures proper order: thinking → tool call → tool result → final response
- Still prevents duplicates by checking existing content
- Check if there's already an assistant message with only reasoning content
- Update existing assistant message with final content instead of creating new one
- Add duplicate detection to prevent multiple messages with same content
- Ensures only one assistant response appears after tool calls
- Extract only the final answer from post-tool reasoning content
- Filter out thinking/reasoning patterns to prevent duplication
- Use regex matching and line filtering to identify clean response content
- Skip content that appears to be thinking rather than final answer
- Limit response length to prevent long thinking content from appearing
- Collect post-tool reasoning content separately instead of processing immediately
- Process collected content as final assistant response after stream completes
- This ensures proper message order: thinking → tool call → tool result → final response
- Prevents duplication of thinking content in final response
- Add deduplication logic for tool results to prevent duplicates
- Detect when tool results have been processed and convert subsequent reasoning events to text content
- This fixes the issue where the final assistant response was hidden in the thinking block
- Tool results should now appear once and final response should appear as separate text
- Replace httpOnly boolean with transportType ('auto'/'http'/'sse') option
- Add transport type cycling button next to 'Add New Server'
- Add blue transport badge next to connected server status
- Save transport preference to localStorage
- Update connection orchestration to handle sse-only and http-only modes
- Remove explicit fallback messaging since orchestration now controls it
- Added httpOnly option to UseMcpOptions to skip SSE fallback
- Updated all HTTP transport failure paths to respect httpOnly flag
- Temporarily enabled httpOnly in chat UI for streamable HTTP debugging
- Updated AGENT.md to require frequent commits after changes
- Added extensive debug logging to transport creation and connection flows
- Added proper Accept header (application/json, text/event-stream) to transport options
- Fixed scroll jittering during streaming with instant scroll behavior
- Investigating HTTP transport 'Not connected' errors and SSE connection hanging
- Use overflow:hidden + whitespace:nowrap to prevent line breaks
- Apply justify-end flexbox to push content to the right
- New tokens push older ones out to the left edge and hide them
- Creates smooth sliding window effect showing only recent tokens
- Only applies during streaming, keeps normal wrap after completion
This creates a nice visual effect where you can see the latest reasoning
tokens flowing in from right to left as the model thinks.
- Remove 500ms setTimeout delay when reasoning finishes
- Reasoning block now collapses immediately when response starts
- Creates smoother transition from thinking to response phase
- Eliminates jarring delay between reasoning end and collapse
The reasoning block now collapses instantly as soon as the model
starts generating the actual response, providing better UX flow.
- Create assistant message as soon as first reasoning event arrives
- This ensures reasoning block is visible from the beginning of thinking
- Prevent duplicate message creation in text-delta handler
- Move reasoning end time logic to text-delta start (when thinking finishes)
This fixes the issue where reasoning blocks weren't appearing because
the assistant message was only created after reasoning completed.
- Update ReasoningBlock to start expanded and show live reasoning content
- Add timing tracking with start/end timestamps for reasoning duration
- Auto-collapse reasoning blocks after completion with 500ms delay
- Show timing summary (e.g. 'Thought for 0.4s') instead of content when collapsed
- Add streaming cursor animation and real-time content updates
- Update types to support reasoning timing and streaming state
- Stream reasoning content live as tokens arrive during thinking phase
This provides a much better UX where users can see the model thinking
in real-time, then get a clean timing summary after completion.
- Add cleaning logic to remove <think> and </think> tags from reasoning
- Trim whitespace after tag removal for clean display
- Add debug logging to show before/after cleaning
- The middleware extracts reasoning but includes the original tags
This ensures the reasoning blocks show clean thinking content without
the XML tags that were being captured along with the reasoning text.
- Add debug logs inside reasoning event handler to see if it's being triggered
- Log reasoning content length as it's being collected
- Add final reasoning content summary at end of stream
- Log why reasoning isn't being added if conditions aren't met
- Cast event to any to avoid potential TypeScript issues
This will help identify why reasoning events aren't being captured
despite appearing in the event stream logs.
- Add back reasoning variable to track content during streaming
- Handle reasoning events from extractReasoningMiddleware in stream processing
- Build up reasoning content from individual reasoning textDelta events
- Remove dependency on result.reasoning which wasn't being populated
- Add reasoning to assistant message after stream completes
The logs showed reasoning events were coming through correctly but we
weren't capturing them. This fixes the issue by collecting reasoning
content during streaming as the events arrive.
- 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.
