Week of May 1–8, 2026

Frontend

Agent Configuration Infrastructure

• Agent Sandbox Management API — SandboxConfig component with CRUD operations for agent instances, health checks, connectivity testing, and model picker integration via new data layer hooks for agent config (get/create/update/delete/push) under agent-nested URLs
• Agent Skills Management — AgentSkills component with skill CRUD operations plus per-agent enable/disable controls through new agent skill resource hooks and per-agent skill assignment hooks
• Agent Prompt Configuration — AgentConfigPrompts component exposing eight prompt fields with rich-text editor for comprehensive agent behavior configuration
• Instance Health Monitoring — automated health check and test connectivity mutation hooks with push gating, server error messaging via readErrorMessage, and optimistic cache writes for connect/disconnect operations enabling instant UI updates without refetch

MCP Integration & Memory Management

• MCP Connector Management — comprehensive connector-management-content and connector-dialogs components for Model Control Protocol configuration with full connector lifecycle management
• Enhanced Memory Architecture — restructured memory management with learners-memories, saved-memories-modal, and manage-categories-modal components, including new memory categorization system and learner-specific memory workflows
• Settings Integration — moved memory toggle to settings tab with enhanced per-agent memory controls

E-commerce & Credit Management

• Credit Balance Component — new CreditBalance component with real-time credit monitoring, auto-recharge configuration, and upgrade package modal integration for seamless payment workflows
• Enhanced Billing Integration — updated billing tab with credit coin component, e-commerce flow optimizations, and Stripe upgrade hook (use-stripe-upgrade) for streamlined payment processing
• LLM Provider Visualization — added provider icons and branding for Amazon, Claude, DeepSeek, Gemini, Groq, LLaMA, Microsoft, Mistral, NVIDIA, OpenAI, Perplexity, and xAI with get-llm-provider-details utility for consistent provider representation

Accessibility & User Experience

• Persistent Chat Input Labels — added configurable persistent_chat_input_label tenant metadata setting enabling WCAG 3.3.2 compliant visible labels above chat textarea (opt-in via tenant configuration)
• Enhanced ARIA Support — comprehensive aria-label improvements across chat input components including voice call buttons, voice chat buttons, and upload menus for improved screen reader accessibility
• Agent Display Enhancements — unique ID configuration in agent settings, markdown rendering for suggested prompts in welcome and advanced chat, and configurable guided prompts per-agent

Backend

Agent Capabilities

• Multimodal Graph Agent Support — route multimodal (file-uploaded) chat turns through LCBaseAgentGraphLLMRunner when ENABLE_GRAPH_LANGCHAIN_AGENTS=True, enabling multimodal content to flow through the same graph (tools, RAG, middleware) as text-only conversations via new _resolve_multimodal_llm and _configure_lc_ai_mentor override hooks
• Enhanced File Upload Grading — GradeSubmissionTool now accepts file attachments alongside or instead of text submissions, routing to multimodal-capable LLMs via existing get_multimodal_llm resolution with structured output mechanisms for comprehensive assessment capabilities
• Conversation-Mode Grading — MentorGraderConfiguration.grading_mode now supports conversation mode via dedicated grade_conversation tool, enabling holistic assessment of entire chat sessions rather than individual submissions

API Infrastructure

• Grader Configuration CRUD API — new admin endpoints mentors/{uuid}/grader-config/ and mentors/{uuid}/grader-config/criteria/ for managing MentorGraderConfiguration and GraderCriterion without Django admin, including paginated criteria lists with search capabilities
• Enhanced Chat History Processing — aretrieve_truncated_message_history now reattaches ChatFiles to historical human messages as OpenAI-format content blocks, preserving visual context across multi-turn multimodal conversations while maintaining text-only storage
• Improved Document Processing — upgraded markitdown to 0.1.5 fixing Google Docs exported .docx parsing in multimodal file uploads by resolving _CustomMarkdownify class parameter compatibility issues

Security Capabilities

• Field-Level Encryption Infrastructure — implemented EncryptedTextField, EncryptedJSONField, and EncryptedFieldsMixin with Fernet symmetric encryption for transparent encrypted field access on all credential models including LLMCredential, GlobalCredential, IntegrationCredential, ConnectedService, MCPServer, and MCPServerConnection
• Credential Masking in Admin — enhanced Django admin with credential field masking for both plaintext and encrypted fields via MASK_CREDENTIALS GlobalConfiguration setting (default: True), protecting sensitive data exposure in admin interfaces
• Encryption Management Commands — new management commands backfill_encrypted_fields, verify_encrypted_fields, and cleanup_plaintext_fields for encryption lifecycle management with comprehensive migration tooling

Notification System

• Dedicated Notification Queues — introduced notifications.high and notifications.low Celery queues with dedicated worker support, separating notification processing from AI inference and data processing workloads for improved system performance and scalability
• Grade Posted Notifications — new SUBSECTION_GRADE_UPDATE notification type automatically emailing learners when grades are posted or updated on assignments, quizzes, and exams with configurable debounce modes (every with 5-minute window or first_only per subsection)
• Course Schedule Change Notifications — COURSE_SCHEDULE_CHANGE notification type monitoring course start date, pacing mode, and certificate availability changes with automatic email dispatch to enrolled learners including old/new value details and course links

Data Model Enhancements

• Auto-Recharge Default Enablement — credit accounts now enable auto-recharge by default at configurable CREDITS_AUTO_RECHARGE_DEFAULT_AMOUNT_USD (default $10), with payment method validation guards preventing failed Stripe charge attempts for accounts without stored payment methods
• Report Generation Improvements — new MentorInteractionResearchGenerator providing session-level engagement exports with prompt-by-prompt breakdown including user email, agent identity, session timing, token counts, and topic associations via batch-processed 1M row safety-capped pipeline
• Enhanced API Response Handling — reported-skills GET endpoints now return 200 with empty payload when users have no reported skills instead of 400 Bad Request, improving API consistency and client error handling

Infrastructure

Deployment & Operations

• Production Service Update Workflow — new workflow_dispatch workflow enabling one-click service updates across all VMs in production environments with concurrency controls, sequential execution (max-parallel: 1), and comprehensive rollup reporting
• Non-Interactive Environment Setup — iblai infra setup-env -f .env command enabling Ansible bootstrap from environment files without interactive prompts, supporting both provisioned and free-standing deployment modes with comprehensive .env schema validation
• Environment Provisioning Automation — iblai infra provision-env -f .env command for non-interactive Terraform provisioning supporting single-server deployments with auto VPN IP detection, SSH key generation/management, and ACM certificate provisioning

Security & Configuration

• Field Encryption Key Management — auto-generated FIELD_ENCRYPTION_KEY using Fernet symmetric encryption during initial setup with rotation support via ibl config rotate-secrets --only IBL_DM.FIELD_ENCRYPTION_KEY
• AI Call Health Monitoring — exposed AI call healthcheck port via configurable IBL_DM.AI_CALL_HEALTHCHECK_PORT (default 8831) for enhanced service monitoring and load balancer integration
• Dependency Management — lockfile-driven dependency controls with explicit pins for high-drift packages (redis, requests, charset-normalizer, sqlalchemy) preventing silent version floating during dependency updates

Integration Capabilities

• Google SSO Configuration — automated google_sso_config Ansible role creating OAuth2ProviderConfig rows on LMS for python-social-auth google-oauth2 backend with optional organization binding and idempotent execution
• Microsoft SSO Configuration — microsoft_sso_config role handling IBL_EDX_BASE_OAUTH_SSO_BACKEND configuration patches, Django settings reload, and OAuth2ProviderConfig creation for azuread-oauth2 integration with tenant-specific OIDC endpoints
• Enhanced Open edX Compatibility — patched discussions topic-link bulk updates avoiding N+1 queries, hardened bookmarks cache rebuild for orphaned blocks, and assessment mode support in mentor XBlocks with configurable UI element hiding

Vibe Agent Skill Ecosystem

• MCP Agent Integration — new iblai-agent-mcp skill providing comprehensive Model Control Protocol connector management with add/edit/featured connector workflows and connection testing capabilities
• Agent Audit Capabilities — iblai-agent-audit skill enabling systematic agent behavior analysis, performance monitoring, and configuration validation with detailed audit trail generation
• Credit Balance Management — iblai-credit skill with real-time credit monitoring, balance display, and integration with auto-recharge workflows for seamless credit management user experiences
• Enhanced Vibe-Starter Integration — improved iblai-ops-init skill with automated platform and token configuration after vibe-starter cloning, streamlined setup workflows, and better CLI integration patterns

REST API — New Endpoints

• GET/POST/PUT/PATCH /api/ai-mentor/orgs/{org}/mentors/{mentor_unique_id}/grader-config/ — agent grader configuration management
• GET/POST /api/ai-mentor/orgs/{org}/mentors/{mentor_unique_id}/grader-config/criteria/ — grader criteria collection management
• GET/PUT/PATCH/DELETE /api/ai-mentor/orgs/{org}/mentors/{mentor_unique_id}/grader-config/criteria/{id}/ — individual grader criteria with validation and weight management
• GET/POST /api/core/platforms/{platform_key}/demographics/fields/ — demographic field configuration per platform
• GET /api/core/platforms/{platform_key}/demographics/fields/export/ — export demographic field configurations
• POST /api/core/platforms/{platform_key}/demographics/fields/import/ — import demographic field configurations
• GET/PUT/PATCH/DELETE /api/core/platforms/{platform_key}/demographics/fields/{slug}/ — individual demographic field management
• GET /api/core/platforms/{platform_key}/{username}/demographics/ — user-specific demographic data access