What's New in Prisme.ai

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Bugfixes and improvements :

• Enhanced Group ACLs: Added groupAcls user field with API update capabilities and runtime synchronization
• Platform Role Protection: Fixed issue where platformRole was lost when patching other user fields from non-super admin accounts
• User Context Synchronization: Resolved runtime user context losing platformRole & groupAcls when receiving updates without these fields
• User Management: Updated user.groupAcls handling from AI Governance user webhook with new groupAcls parameter in PrismeaiAPI.updateUser
• API Optimization: Removed redundant /contacts API calls from user webhook as all user details are now available in user context
• Emit Instructions: Execute broker sends from emit instructions inside parent thread to prevent blocking interactions during high CPU/blocking work
• Topic Management: Both createUserTopic and joinUserTopic emits now execute inside parent thread for improved performance
• Wait Instructions: Wait instruction emits also moved to parent thread for better I/O processing
• Event Loop Control: Runtime now gives control back to NodeJS event loop when ending automations to prevent single interaction starvation
• Async Support: Added async option to Emit instructions
• Streaming Optimization: Removed final AIS callback on streaming end, replaced with Knowledge client.knowledgeMessage event from AI Store on final SSE chunk
• Database Indexing: Added MongoDB index to apiKeys field in Teams collection for improved query performance

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Enhanced Model Management & Analytics

• Improved Model Cards: Comprehensive model information including:
  • Model capabilities and specifications
  • Models organized by provider
  • Detailed descriptions and use cases
  • Cost information per model
  • Carbon footprint metrics for environmental impact tracking
• Message-Level Statistics: Individual AI agents now display detailed stats per message:
  • Processing duration
  • CO2 emissions per interaction (when configured)
  • Cost breakdown (when configured)
  • Tokens metrics
  • Performance metrics at both the message and conversation levels
• Prompt Store Configuration: Per-agent prompt store configuration with:
  • Builder integration via Git for version control
  • External database connectivity for better scalability
  • Enhanced versioning and prompt management capabilities
• User Usage Dashboard: Aggregated usage table per user for each AI agent including:
  • Individual user consumption metrics
  • Usage patterns and trends
• Advanced KPI Analytics: Comprehensive analytics system featuring:
  • Dozens of KPIs available per individual agent
  • Admin-level KPIs across all agents
  • Deep adoption analysis without requiring custom dashboards
  • Built-in analytics for comprehensive performance monitoring
• Enhanced Source Display: Improved visualization and presentation of information sources

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Studio Enhancements

• SSO Integration: Profile edition is now automatically disabled when authenticated with SSO
• User-Space Request: Fixed fetching and caching issues

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Runtime & Improvements

• Socket Support: Enhanced socketId support within child Broker for better real-time communication
• Memory Optimization: avoid memory leaks in broker package
• Vertical Scaling: enhance NodeJS multithreading support with RUNNER_MAX_THREADS environment variable
• Context Synchronization: Resolved run context synchronization issues that occasionally broke AI Store response processing

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AI Store & Conversations

• Database Optimization:
  • Renamed collections for better clarity (“wonderful-treefrog-80” → “Conversations”, “brave-zebra-50” → “Messages”)
  • Added multiple indexes to Conversations & Messages collections
• Message Processing:
  • Fixed message sources displaying and broken markdown format
  • Simplified message chunk processing and removed duplicate calls
  • Improved initialization by removing init block chat event

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AI Knowledge & AI Insight

• Improvements:
  • Disabled validateArguments on many internal automations
  • Removed live message updates listener to lighten processing workload
  • Enhanced saveVectorizeFailed errors with specific public error messages
• API Key Management: Users can now regenerate API keys directly from the UI
• Elasticsearch Support: AI Knowledge is now compatible with Elasticsearch Vector Store

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AI Builder

• New Components:
  • Block Icon now available in Page Builder
  • New Collapse block for better content organization
  • KPI block enhancements
  • New DateRangePicker block
• Enhanced Functionality:
  • Schema Form fields can use ui:options to add blocks as suffix into Input
  • DropDown blocks can display blocks list as content and be closed with events
  • Datatable columns now accept blocks attribute for full customization
• Code Editor: Fixed slow performance issues in Builder code editor

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Developer Tools & Runtime

• New DSUL Helpers: Added unsafejson, URL, sanitize, uuid, and power math (^) helpers
• Fetch Improvements:
  • Added allowSelfSignedCert parameter for fetch instruction
  • Enhance Support for HTTP(S)_PROXY variables
  • Automatic authentication on /apps endpoints
• Monitoring: New runtime prometheus metrics for interactions, automations, users, and performance

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Multi-Platform Support

• Audio & Image: Fixed Vertex AI audio & image support for some models
• Mock Models: Added mock-embeddings and mock completions models for testing