Deployment Details:
Release Date: November 4, 2025
AI Agent Creation Tool:
- Create Custom AI Assistants: New comprehensive tool for generating customized AI agents with intelligent enhancement
- Automatically enhances user input using LLM to create professional agent specifications
- Validates agent quality and domain specificity (quality scoring 1-10)
- Generates outcome-focused example prompts that minimize user follow-ups
- Supports custom icons with automatic validation and brandkit integration
- Creates proper database relations and permissions automatically
- Usage: “Create a marketing copywriter assistant”, “Build an agent for code reviews”
Enhanced Brand Integration:
- Automatic Logo Integration: Agent creation now automatically fetches and validates brand logos from your brandkit
- Fallback Chain: Provided icon → Brand logo → Default WrenchAI logo with validation at each step
- BrandKit Query Enhancement: Added brand_logo field support for better brand asset management
Technical Improvements
Exception Handling & Reliability:
- Custom Streaming Exceptions: Introduced
StreamNotFoundexception for better error handling in streaming operations- Replaces generic
ValueErrorwith specific, actionable error messages - Enables targeted error handling and user experience improvements
- Replaces generic
- Global Exception Hooks: New centralized exception handling system
- Installs custom hooks for main thread and background threads
- Special handling for expected control-flow exceptions (like missing streams)
- Cleaner error logging with reduced noise from expected exceptions
Data Safety & Validation:
- Enhanced State Schema: Added string conversion safety to getter methods
- Prevents type errors when accessing chat data (prompt, attachments, responses)
- Ensures consistent string handling across the application
Infrastructure:
- Node Registry Updates: Integrated new agent creation tool into the main processing pipeline
- SSH Configuration: Updated development environment connection details
Developer Experience
Agent Creation Guidelines:
- Comprehensive best practices documentation for AI agent creation
- Quality validation criteria including specificity, clarity, and differentiation requirements
- Standardized example prompt formatting and outcome-focus requirements
Error Handling Patterns:
- Established patterns for expected vs. unexpected exceptions
- Cleaner logging output with reduced stacktrace noise for control-flow exceptions