Add 6 new fields to AgentType for better organization and UI display:
- category: enum for grouping (development, design, quality, etc.)
- icon: Lucide icon identifier for UI
- color: hex color code for visual distinction
- sort_order: display ordering within categories
- typical_tasks: list of tasks the agent excels at
- collaboration_hints: agent slugs that work well together
Backend changes:
- Add AgentTypeCategory enum to enums.py
- Update AgentType model with 6 new columns and indexes
- Update schemas with validators for new fields
- Add category filter and /grouped endpoint to routes
- Update CRUD with get_grouped_by_category method
- Update seed data with categories for all 27 agents
- Add migration 0007
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Major revamp of agent types based on SOTA personality design research:
- Expanded from 6 to 27 specialized agent types
- Rich personality prompts following Anthropic and CrewAI best practices
- Each agent has structured prompt with Core Identity, Expertise,
Principles, and Scenario Handling sections
Agent Categories:
- Core Development (8): Product Owner, PM, BA, Architect, Full Stack,
Backend, Frontend, Mobile Engineers
- Design (2): UI/UX Designer, UX Researcher
- Quality & Operations (3): QA, DevOps, Security Engineers
- AI/ML (5): AI/ML Engineer, Researcher, CV, NLP, MLOps Engineers
- Data (2): Data Scientist, Data Engineer
- Leadership (2): Technical Lead, Scrum Master
- Domain Specialists (5): Financial, Healthcare, Scientific,
Behavioral Psychology Experts, Technical Writer
Research applied:
- Anthropic Claude persona design guidelines
- CrewAI role/backstory/goal patterns
- Role prompting research on detailed vs generic personas
- Temperature tuning per agent type (0.2-0.7 based on role)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Root cause: The demo data's model_params was missing `top_p`, but the
Zod schema required all three fields (temperature, max_tokens, top_p).
This caused silent validation failures when editing agent types.
Fixes:
1. Add getInitialValues() that ensures all required fields have defaults
2. Handle nested validation errors in handleFormError (e.g., model_params.top_p)
3. Add useEffect to reset form when agentType changes
4. Add console.error logging for debugging validation failures
5. Update demo data to include top_p in all agent types
The form now properly initializes with safe defaults for any missing
fields from the API response, preventing silent validation failures.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Dashboard changes:
- Update useDashboard hook to fetch real projects from API
- Calculate stats (active projects, agents, issues) from real data
- Keep pending approvals as mock (no backend endpoint yet)
Demo data additions:
- API Gateway Modernization project (active, complex)
- Customer Analytics Dashboard project (completed)
- DevOps Pipeline Automation project (active, complex)
- Added sprints, agent instances, and issues for each new project
Total demo data: 6 projects, 14 agents, 22 issues
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Update demo_data.json to use "__admin__" as owner_email for all projects
- Add admin user lookup in load_demo_data() with special "__admin__" key
- Remove notification_email from project settings (not a valid field)
This ensures demo projects are visible to the admin user when logged in.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Delete `demo_data.json` replaced by structured logic for better modularity.
- Add support for seeding default agent types and new demo data structure.
- Ensure demo mode only executes when explicitly enabled (settings.DEMO_MODE).
- Enhance logging for improved debugging during DB initialization.
