- Add model-aware vision tool loading based on supports_vision flag
- Move view_image_tool from config to builtin tools for dynamic inclusion
- Add timeout to image search to prevent hanging requests
- Optimize image search results format using thumbnails
- Add image validation for reference images in generation
- Improve error handling with detailed messages
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Add image viewing capability for vision-enabled models with ViewImageMiddleware and view_image_tool. Limit web_fetch tool output to 4096 characters to prevent excessive content. Update model config to support vision capability flag.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Backend:
- Handle both string and list format for message content in uploads middleware
- Extract text content from structured message blocks
- Add logging for debugging file upload flow
Frontend:
- Separate file display from message bubble for human messages
- Show uploaded files outside the message bubble for cleaner layout
- Improve file card border styling with subtle border color
- Add debug logging for message submission with files
Co-authored-by: Cursor <cursoragent@cursor.com>
Improve UX by hiding citations block while it's being streamed:
- Remove complete citations blocks (existing logic)
- Also remove incomplete citations blocks during streaming
- Prevents flickering of raw citations XML in the UI
Co-authored-by: Cursor <cursoragent@cursor.com>
Backend:
- Simplify citations prompt format and rules
- Add clear distinction between chat responses and file content
- Enforce full URL usage in markdown links, prohibit [cite-1] format
- Require content-first approach: write full content, then add citations at end
Frontend:
- Hide <citations> block in both chat messages and markdown preview
- Remove top-level Citations/Sources list for cleaner UI
- Auto-remove <citations> block in code editor view for markdown files
- Keep inline citation hover cards for reference details
This ensures citations are presented like Claude: clean content with inline reference badges.
Co-authored-by: Cursor <cursoragent@cursor.com>
Update presentation generation with contemporary design styles
(glassmorphism, dark-premium, neo-brutalist, etc.) and add a new
deep-research skill to guide thorough web research before content
generation tasks.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Simplify clarification message handling by having the frontend detect and
display ask_clarification tool messages directly, instead of relying on
backend to add an extra AIMessage.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Citations:
- Add citations parsing utilities for extracting source references from AI responses
- Render inline citations as hover card badges in message content
- Display citation cards with title, URL, and description on hover
- Add citation badge rendering in artifact markdown preview
- Update prompt to guide AI to output citations in correct format
Thread Management:
- Add rename functionality for chat threads with dialog UI
- Add share functionality to copy thread link to clipboard
- Share links use Vercel URL for production accessibility
- Add useRenameThread hook for thread title updates
i18n:
- Add translations for rename, share, cancel, save, and linkCopied
Co-authored-by: Cursor <cursoragent@cursor.com>
When using thinking-enabled models (like Kimi K2.5, DeepSeek), the API
expects reasoning_content on all assistant messages. The original
ChatDeepSeek stores reasoning_content in additional_kwargs but doesn't
include it when making subsequent API calls, causing "reasoning_content
is missing" errors.
This adds PatchedChatDeepSeek which overrides _get_request_payload to
restore reasoning_content from additional_kwargs into the payload.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add web_search_tool and web_fetch_tool implementations using the official
firecrawl-py SDK as an alternative to Tavily/Jina AI integrations.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Creates presentations by generating AI images for each slide and composing
them into PPTX files. Features include:
- Multiple presentation styles (business, academic, minimal, keynote, creative)
- Visual consistency through reference image chaining (each slide uses the
previous slide as reference)
- Speaker notes from presentation plan
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Use ThreadPoolExecutor to generate audio for multiple script lines
concurrently, significantly speeding up podcast generation.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Remove LLM script generation from Python script, model now generates
JSON script directly (similar to image-generation skill)
- Add --transcript-file option to generate markdown transcript
- Add optional "title" field in JSON for transcript heading
- Remove dependency on OPENAI_API_KEY for podcast generation
- Update SKILL.md with new workflow and JSON format documentation
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add podcast-generation skill for creating tech explainer podcasts
- Include generate.py script with TTS synthesis capabilities
- Add tech-explainer template for structured podcast content
- Increase sandbox command timeout from 30s to 600s to support
longer-running skill scripts
- Use ExtensionsConfig.from_file() instead of cached config to always
read latest configuration from disk in LangGraph Server
- Add mtime-based cache invalidation for MCP tools to detect config
file changes made through Gateway API
- Call reload_extensions_config() in Gateway API after updates to
refresh the global cache
- Remove unnecessary MCP initialization from Gateway startup since
MCP tools are only used by LangGraph Server
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
