Enhanced Multi-Organization Support
- Organization-Scoped Metadata: User metadata is now isolated per organization membership
- Architecture Update: Metadata moved from global
user.publicMetadatato organization-scopeduserOrganization.metadata - Multi-Org Improvement: Users who belong to multiple organizations now maintain separate metadata for each organization
- Backward Compatible: All existing API responses maintain the same structure - no breaking changes
- New Endpoint: Added Update User Metadata API documentation
Latest Anthropic Model Now Available
- Claude Sonnet 4.5: Added support for Anthropic’s newest model with improvements in coding, agentic workflows, and reasoning capabilities
- Learn More: Read the official announcement from Anthropic
- Easy Access: Available immediately for all agents through Control Hub model settings
Share Direct Links to Agents and Pre-filled Questions
- Agent Deep Linking: Share direct links to specific agents using
?agent=<id_or_name>URL parameter - supports both agent ID and name matching - Question Pre-filling: Pre-fill the chat input with
?q=<question>parameter for streamlined user workflows and support scenarios - Smart URL Handling: Question parameters are automatically cleaned from the URL after use to prevent re-application on navigation
- New Chat Only: Question pre-filling only works for new conversations, preserving existing chat history
Detailed Token Usage Breakdown
- Input/Output Token Tracking: Dashboard now shows breakdown of token usage with separate counts for input tokens (user messages and system prompts) and output tokens (AI responses)
- Cleaner Analytics Display: Token usage cards now display the breakdown in a clean “X in / Y out” format alongside the total token count
- Better Cost Insights: Understanding input vs output token usage helps organizations better understand their AI costs, as many providers charge different rates for input and output tokens
Enhanced JSON Schema Configuration Experience
- Larger Modal Windows: Expanded schema editor and viewer modals for better editing experience with complex schemas
- Real-time Validation: Live JSON validation with required field checking as you type
- Copy Example Button: Quickly insert schema templates to get started with structured data extraction
- Better Form Layout: Improved spacing and helpful subtext for all schema configuration fields
- Fixed Scrolling: Proper internal scrolling for long schemas without modal overflow issues
Persistent Python Execution Environment
- Thread-based State Management: Python sandboxes now maintain variables, imports, and memory state across multiple code executions within the same conversation
- 5-6x Performance Improvement: Subsequent Python executions are dramatically faster by reusing existing sandbox environments
- Smart File Detection: Automatically detects when files haven’t changed to skip redundant uploads
- Seamless Experience: No changes needed - agents automatically benefit from persistent state when running Python code
Enhanced File Processing
- Larger File Support: Increased file upload limits for knowledge bases and conversations
- Improved Timeouts: Extended processing time limits (up to 800s) for large document processing
- Better Error Messages: More helpful feedback when file processing encounters issues
- Token Limit Management: Intelligent handling of large files to stay within AI model token constraints
Advanced Web Research with AI-Powered Analysis
- Deep Research Capability: New Perplexity-powered tool for comprehensive research on any topic with multi-step analysis
- Citation-Rich Results: Automatically includes source citations and references for all research findings
- Advanced Query Processing: Handles complex research requests with follow-up questions and detailed investigation
- Token Usage Tracking: Full transparency on research costs with detailed token consumption reporting
User Re-invitation Support
- Fixed Bulk Invite: Previously removed users can now be re-added without “account already exists” errors
- Smart Detection: Automatically handles new users (invitation) vs existing users (direct membership)
Review and Edit AI-Extracted Data
- File Review Interface: New side-by-side interface for reviewing knowledge base files with extracted structured data alongside the original document
- Interactive Data Editor: Schema-aware editor for modifying AI-extracted structured data with rich field types (text, numbers, dates, objects, arrays)
- Document Preview: Multi-format document viewer supporting PDF, Office documents, images, and text files with presigned URL security
- Real-time Editing: Live editing with change tracking and save functionality - perfect for correcting or enhancing AI extractions
- Navigation Integration: Access the review interface directly from knowledge base file lists via “Review Extracted Data” menu option
Rename Conversations
- Rename in Sidebar: Quickly rename any conversation from the chat sidebar’s “More” menu
- Clear Names: Remove a custom name to revert to the automatic preview title
- API: PATCH
/api/renameConversationwith{ threadId, name }; only conversation owners or org admins can rename within their organization
New OpenAI Models
- GPT-5 and GPT-5-mini: Now available as chat models across agents and API
- Temperature Handling: Defaults applied per provider requirements for GPT-5 family
Advanced Knowledge Base Capabilities
- Python Sandbox Integration: New way to pull knowledge base content directly into the Python sandbox environment for advanced document analysis and processing workflows
- Structured Data Extraction: Added optional extraction schema configuration to knowledge bases, enabling AI-powered extraction of structured information from documents using custom JSON schemas
- Snowflake Personal Access Tokens: Added support for Personal Access Tokens (PATs) for more secure and flexible Snowflake database authentication
Expanded File Format Support
- HTML File Support: Upload .htm and .html files directly to knowledge bases and conversations for web content analysis
- Enhanced CSV Processing: Improved CSV support with better table chunking strategies for more accurate analysis of tabular data
Chat & Agent Experience Improvements
- Attachment-Only Messages: Send messages with just file attachments without requiring text - perfect for quick file sharing with agents
- Prompt Variables Display: Agent configuration screen now shows all supported prompt variables, making it easier to customize agent behavior
- Enhanced Chat Sidebar: Message previews and improved formatting in the conversation sidebar for better navigation
- Grok 4 Model: Added support for xAI’s latest Grok 4 model with enhanced reasoning capabilities
CSV and PowerPoint Support for Your Knowledge Bases
- CSV File Upload: Upload spreadsheets and data files directly to your knowledge bases - agents can now search and analyze your tabular data seamlessly
- PowerPoint Support: Add your presentation files (.pptx) to knowledge bases so agents can reference slide content, charts, and presentation materials
- Enhanced File Processing: Improved how agents understand and chunk table data for better search results and more accurate responses
Latest AI Model from xAI
- Grok 4 Support: Your agents now have access to xAI’s latest and most advanced Grok 4 model, offering enhanced reasoning capabilities and improved response quality
- Expanded Model Options: Choose from an even broader selection of cutting-edge AI models to power your agents based on your specific needs
Upload Documents and Give Your Agents Instant Access to Your Knowledge
- Knowledge Bases: Create organized collections of documents that your agents can search and reference during conversations
- Multi-Format Support: Upload PDF, DOCX, TXT, and Markdown files - agents automatically extract and understand the content
- Semantic Search: Agents can search your knowledge bases using natural language queries to find relevant information instantly
- Agent Integration: Configure which agents have access to which knowledge bases using the new
search_knowledge_basetool - Smart Processing: Files are automatically chunked and embedded for optimal search performance with real-time processing status
- Enterprise Ready: All knowledge bases are organization-scoped with admin controls for secure document management
Tag and Organize Your Team with Custom Metadata
- Custom User Metadata: Organization admins can now add custom key-value metadata to any user (e.g., department: “Sales”, role: “Manager”, team: “West Coast”)
- Flexible Metadata Editor: Add, edit, and remove metadata fields with an intuitive interface that supports any custom properties your organization needs
- Dashboard Filtering: Use custom metadata to filter conversations and analytics in the Dashboard - perfect for analyzing usage by department, role, or team
- Visual Metadata Display: User metadata appears as badges throughout the interface, making it easy to identify user attributes at a glance
SQL Query Results as Downloadable Files
- CSV Downloads: SQL query results from Snowflake and other databases now include convenient “Download CSV” buttons
- Automatic Attachments: Query results are automatically saved as downloadable attachments, making it easy to export data for further analysis
- Enhanced File Handling: Generated files from agent workflows are now properly tracked and made available throughout conversations
Create Professional Presentations with AI
- Generate PowerPoint Tool: Your agents can now create complete PowerPoint presentations from structured data - no templates required!
- Rich Content Support: Include text, bullet lists, tables, charts, and images across multiple slide layouts
- Professional Layouts: Choose from built-in PowerPoint layouts including title slides, content slides, and section headers
- Instant Downloads: Generated presentations are automatically saved and available for immediate download as .pptx files
- Smart Formatting: Agents understand how to structure slide content logically with proper hierarchy and visual organization
Execute Python Tool with File Access
- File Upload Support: Execute Python now automatically uploads conversation attachments to the sandbox at
/mnt/data/paths - Enhanced Output Display: Improved categorization of stdout, stderr, and results with better visual formatting
- Better Error Handling: More detailed error messages and tracebacks for debugging
Enhanced Control Hub & Model Management
- Reorganized Model Settings: Split model configuration into logical sections:
- “Providers” tab for API key management (OpenAI, Azure, etc.)
- “Models” tab for selecting default chat and embedding models
- Organization-Wide Defaults: Set default models for your entire organization that all agents inherit
- Azure OpenAI Improvements: Better handling of Azure model deployments and instances
- Model Instance Management: Clean interface for managing Azure deployment names and configurations
- Enhanced Embedding Model Support: Organizations can now configure default embedding models from either OpenAI or Azure OpenAI
- Supports standard OpenAI embedding models (text-embedding-3-small, text-embedding-3-large, etc.)
- Full support for Azure OpenAI embedding deployments with automatic deployment name resolution
- Intelligent model routing: automatically uses the correct provider based on your organization’s configuration
- Backward compatible: existing setups continue to work without any changes
Chat Experience Enhancements
- Beautiful Typing Indicator: New animated typing indicator shows when agents are thinking with smooth dot animations
- Improved Agent Selection: Enhanced agent selector on chat page with better visual hierarchy
- Better Spacing & Layout: Refined chat interface with improved message spacing and visual flow
- Attachment Visibility: Attachments now properly display when viewing conversation history
- Enhanced Error Handling: Better error messages and handling for old chat formats
Connect Your Agents to Remote MCP Servers
- Remote MCP Server Connections: Your agents can now connect to MCP servers hosted anywhere on the internet, not just locally installed ones
- Easy Server Setup:
- Choose from popular pre-configured servers (Slack, GitHub, Neon Postgres, Filesystem)
- Or configure custom remote MCP servers with just a URL and optional headers
- Test connections before saving to ensure everything works
- Expanded Tool Library: Connect to remote MCP services to give your agents access to:
- External APIs and databases
- Third-party services and platforms
- Custom tools hosted by your team or organization
- Seamless Integration: Once configured, remote MCP tools work exactly like built-in tools - your agents automatically discover and use them during conversations
Upload and Analyze Word Documents
- DOCX File Support: Your agents can now read and analyze Microsoft Word documents (.docx files) uploaded to conversations
- Smart Document Processing: Agents automatically extract text, preserve heading structure, and convert tables to readable markdown format
- Comprehensive Understanding: Ask questions about document content, get summaries, or have agents analyze the structure and formatting of your Word documents
- Seamless Integration: Simply drag and drop .docx files directly into chat - agents will automatically process and understand the content
Drag & Drop File Uploads
- Intuitive File Uploads: Simply drag and drop files directly into the chat interface - no more clicking upload buttons
- Visual Feedback: See helpful drag overlays that show supported file types and upload status
- Real-time Progress: Watch upload progress bars as your files are processed and made available to your agents
- Multi-file Support: Drop multiple files at once - supports images, documents, spreadsheets, and more
- Paste Images: Copy and paste images directly from your clipboard into conversations
Latest AI Models & Enhanced Search
- New Claude Models: Access to Anthropic’s latest Claude Sonnet 4 and Opus 4 models (May 2025) with significantly improved reasoning capabilities
- Enhanced Search API: Switched to Brave Search API for faster, more reliable web search results with better privacy
- Expanded Model Selection: Added support for new OpenAI models including GPT-4.1 and o4-mini for specialized reasoning tasks
- Performance Optimization: Removed deprecated models to streamline the model selection experience
Multi-Agent: Configurable Call Agent
- Introduced a user interface for configuring the
call_agenttool, enabling users to select which other agents a specific agent is permitted to call. - The system prompt for an agent now dynamically includes the ID, name, and description of its designated callable agents, providing necessary context for the
call_agenttool. - The agent configuration page has been updated to list available agents, allowing for easy selection when setting up the
call_agentfunctionality.
Agent Stage
- Agents can now be designated as either
DevelopmentorReleased. - Agents in
Developmentare now visually grouped separately at the bottom of agent selection dropdowns (Chat page, Dashboard).
- Share your Conversation: Agent conversation links can now be shared with anyone in your organization
- Fix bug where tool calls did not appear in the proper order in an agent conversation
File Uploads & Processing
- Support adding Excel files into agent conversations
- Refactored file uploads to use presigned URLs for direct R2 storage uploads, improving reliability and adding progress tracking.
- Implemented asynchronous content pre-extraction for non-image files (e.g., PDF text) upon upload.
UI Enhancements
- Added visual progress indicators for file uploads.
- Improved handling of pasted images in chat input.
- Updated chat display to use icons for non-image attachments.
- Users can now delete their own conversations from the chat list.
- New user_manager role, for users that should be able to manage the other users in their organization but not change AI Settings
- Fixed an issue where the dashboard date range picker could become undefined
- Added support for OpenAI’s
o3-minimodel (Jan 31). - Allowed line breaks in user chat messages for better readability (Jan 6).
- Improved URL scraping to correctly extract links found within HTML table cells (Jan 3).
Pinecone Integration
- Added a new integration with Pinecone for semantic search
- This integration is now available in the Control Hub under the Integrations section
Bug Fixes
- Errors encountered when chatting with agents should now be visible on the chat page
- Fixed a bug where message pruning based on token count was not working
- Fixed a bug where execute python was not working
- Fixed a bug where belonging to more than 10 organizations was causing failed requests
Filter and Search Postgres
- Added a new tool to filter and search Postgres embeddings for a given query in a specified table
- This allows your agent to filter the table with a WHERE clause and then semantically search ONLY the filtered results
- This tool is now available in the agent configuration under the Tools section
TikTok Tool
- Added new tool to search TikTok for videos matching a search term or hashtag
- This tool is now available in the agent configuration under the Tools section
Reddit Tools
- Added new tools to search and read Reddit
- Search Reddit for posts matching a search term, across all subreddits
- Read posts from a specified subreddit, with optional filtering for time period and post type
- This tool is now available in the agent configuration under the Tools section
PDF Understanding
- Agents can now understand PDFs that are uploaded in a conversation
- PDF Understanding is powered by two features:
- Traditional OCR to extract readable text from the PDF and provide it to the Agent
- PDF-to-image conversion that enables the Agent to “see” the first 5 pages of the PDF
PDF Understanding is currently in beta and has multiple limitations
- Only the first 5 pages of the PDF are processed into images that the Agent can “see”; only the readable text from remaining pages is provided to the Agent
- PDFs bigger than 3MB may fail to process
- PDF-to-image conversion causes a delay in the Agent’s response time
- PDF URLs that are accessed via the Scrape URL tool do not have PDF-to-image conversion enabled, so the agent will only get extracted text
Copy Code to Clipboard
- Code blocks now have a copy button to easily copy the code to your clipboard
Terms of Service and Privacy Policy
- Users are now required to accept the Terms of Service and Privacy Policy to sign up for Aster Agents
Agent Feedback on Dashboard
- Added feedback score and total feedback given to your agents on the Dashboard
- Feedback for specific conversations will be shown in the conversation list. Hover to see the users who provided feedback.
API Keys!
- API Keys are now accessible from the Control Hub Settings page
- API Keys are valid for 6 months
- You can use your API key to communicate with your agents via the API
Perplexity API Citations Support
- Added support for Perplexity’s new citations feature
- Citations are now automatically included in
ask_webresponses - Each citation is displayed as a clickable source link below the response
Agent Feedback
- Added the ability to provide feedback on your conversations once the agent has responded at least once
- Let us know if an agent’s responses were helpful with a simple thumbs up or down
- Changed your mind? You can always update your feedback later
Improvements to Agent Configuration
- Group tools by required integrations on the agent configuration page
- If an integration is not setup, its tools cannot be turned on for the agent
New Model Provider: xAI
- Added xAI as a supported LLM provider for building agents
New Tool: Call API
- Introduced a new tool to let your agent call API endpoints directly
- Supports GET, POST, PUT, and DELETE request types
Multi-organization support
- Added the ability to create multiple organizations and switch between them
- Each organization has its own set of agents, conversations, and users
- Admins can invite new members to their organization via email