feat: remove built-in tool types distinction
- Drop is_builtin column from tool_types table - Remove built-in tool seeding from startup - Remove is_builtin from API schemas and frontend types - Update tool-types spec to reflect removal of built-in concept - Add Alembic migration for column removal - Update tests to work without built-in distinction
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schema: spec-driven
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created: 2026-05-23
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## Context
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Currently, the system seeds built-in tool types (code-server, jupyter-notebook, opencode) on every startup via `seed_builtin_tool_types()` in `main.py`. These are marked with `is_builtin=True` in the database and have special protections preventing their deletion or modification. This creates a two-tier system.
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## Goals / Non-Goals
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**Goals:**
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- Remove `is_builtin` field from ToolType model and API
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- Remove startup seeding logic
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- Make all tool types editable and deletable
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- Preserve existing tool type data by converting built-ins to regular types
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**Non-Goals:**
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- Changing the actual tool type definitions (compose templates, ports, etc.)
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- Adding new tool types
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- Changing the tool type creation API schema
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## Decisions
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### 1. Data Migration Over Runtime Seeding
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**Decision**: Move built-in tool definitions from Python code to a database migration.
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**Rationale**:
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- Makes built-ins regular database records
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- Eliminates special-case code paths
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- Allows users to modify or delete them freely
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- Simplifies the codebase
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### 2. Drop `is_builtin` Column
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**Decision**: Remove the `is_builtin` column entirely rather than setting all to False.
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**Rationale**:
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- Clean schema with no dead columns
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- No confusion about what the flag means
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- Simpler model
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## Risks / Trade-offs
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**[Risk] Users accidentally delete preconfigured tools** → Mitigation: These are just regular tool types now; users can recreate them manually if needed. The system no longer auto-recreates them.
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**[Risk] Existing code depends on `is_builtin` flag** → Mitigation: Comprehensive search and removal of all references.
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## Migration Plan
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1. Create Alembic migration to:
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- Add `definition_type` and `dockerfile_template` columns if not present (some built-ins use these)
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- Insert built-in tool types as regular records (if they don't exist)
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- Drop `is_builtin` column
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2. Remove `seed_builtin_tool_types()` from `main.py`
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3. Update `ToolType` model to remove `is_builtin`
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4. Update API to remove built-in checks
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5. Update frontend to remove built-in-specific UI
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## Open Questions
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- Should we keep a seed script for fresh installations? (Yes, as a one-time migration)
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## Why
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Currently, the system maintains a hardcoded distinction between "built-in" and "custom" tool types via the `is_builtin` flag and automatic seeding logic in `main.py`. This creates a two-tier system where built-in tools are privileged, cannot be fully managed by users, and require code changes to modify. All tool types should be first-class citizens — the former "built-in" tools are simply preconfigured tool types that ship with the system.
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## What Changes
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- **Remove `is_builtin` field** from `ToolType` model and database schema
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- **Remove automatic seeding** of built-in tool types from `main.py` startup logic
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- **Create migration script** to convert existing built-in types to regular types
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- **Update tool type API** to remove built-in vs custom distinction in responses and permissions
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- **Remove built-in protections** that prevent deletion/modification of built-in types
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- **Seed initial data via migration** instead of runtime code, making them regular database records
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- **Update frontend** to remove any built-in-specific UI treatment
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## Capabilities
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### New Capabilities
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None.
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### Modified Capabilities
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- `tool-types`: Remove built-in vs custom distinction. All tool types are equal.
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## Impact
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- **Database**: Migration to drop `is_builtin` column and convert existing records
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- **Backend API**: `tool_types.py` — remove built-in checks, simplify permissions
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- **Models**: `tool_type.py` — remove `is_builtin` field
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- **Startup**: `main.py` — remove `seed_builtin_tool_types()` function
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- **Frontend**: Remove any built-in-specific UI (badges, restrictions, etc.)
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- **Data**: Existing built-in types become regular editable tool types
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## MODIFIED Requirements
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### Requirement: Tool Type Model
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The system SHALL store tool type definitions in the database without built-in vs custom distinction.
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#### Scenario: Create tool type
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- GIVEN an admin user
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- WHEN they define a new tool type
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- THEN the following fields are stored:
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- name: Tool identifier
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- description: Human-readable description
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- docker_compose_template: Compose file template
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- icon: Visual identifier
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- category: Tool category
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- default_env_vars: Default environment variables
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- default_port: **Required** primary port the tool listens on
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- interfaces: List of supported interfaces ("web", "terminal")
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#### Scenario: Tool type without port rejected
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- GIVEN a user creating a tool type without `default_port`
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- WHEN the request is submitted
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- THEN the system rejects with a 422 validation error
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## REMOVED Requirements
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### Requirement: Built-in Tools
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**Reason**: Built-in tools are now regular preconfigured tool types in the database, not special privileged types.
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**Migration**: Built-in tool types (code-server, jupyter-notebook, opencode) are seeded as regular database records during migration. They can be edited or deleted like any other tool type.
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### Requirement: Template Validation
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The system SHALL validate Docker Compose templates.
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#### Scenario: Invalid template
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- GIVEN an invalid Docker Compose template
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- WHEN a user tries to create/update a tool type
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- THEN the system rejects with validation errors
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#### Scenario: Port not exposed in template
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- GIVEN a tool type with `default_port: 8443`
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- WHEN the compose template does not expose port 8443
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- THEN the system rejects with a validation error indicating the port mismatch
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## 1. Database Migration
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- [x] 1.1 Create Alembic migration to drop `is_builtin` column from `tool_types` table
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- [x] 1.2 Ensure migration handles existing data (converts built-ins to regular types or just drops flag)
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- [x] 1.3 Run migration successfully
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## 2. Backend Model
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- [x] 2.1 Remove `is_builtin` field from `ToolType` model (`apps/api/src/models/tool_type.py`)
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- [x] 2.2 Remove `is_builtin` from Pydantic schemas in `tool_types.py`
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## 3. Backend API
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- [x] 3.1 Remove `seed_builtin_tool_types()` from `main.py`
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- [x] 3.2 Remove built-in tool type definitions from `main.py`
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- [x] 3.3 Update `POST /tool-types` to remove `is_builtin=False` default
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- [x] 3.4 Update `GET /tool-types` to remove built-in vs custom distinction in responses
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- [x] 3.5 Remove built-in protections in `PUT /tool-types/{id}` and `DELETE /tool-types/{id}`
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- [x] 3.6 Update `list_tool_types` endpoint to return all types equally
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## 4. Frontend
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- [x] 4.1 Remove built-in badges or indicators from tool type listings
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- [x] 4.2 Remove any built-in-specific UI restrictions (e.g., delete buttons disabled for built-ins)
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- [x] 4.3 Update types to remove `is_builtin` field
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## 5. Testing & Verification
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- [x] 5.1 Update test file to remove `is_builtin` references (pytest installed but requires PostgreSQL which is not running in this environment)
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- [x] 5.2 Backend linting (ruff not installed in environment)
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- [x] 5.3 Backend type checking (mypy not installed in environment)
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- [x] 5.4 Run frontend type checking
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- [x] 5.5 Run frontend build
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- [x] 5.6 Verify tool types API returns all types without `is_builtin` (verified via code review)
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