Files
ai_agent/docs/adding_features.md
furyhawk 8351e73d39 feat: add Zustand stores for conversation, file preview, sidebar, theme, and knowledge base selection
- Implemented `conversation-store` for managing conversations and messages.
- Created `file-preview-store` to handle file preview state.
- Added `sidebar-store` for sidebar visibility management.
- Developed `theme-store` for theme persistence and management.
- Introduced `kb-selection-store` for managing active knowledge base selections with persistence.

chore: define API and chat types

- Added types for API responses, authentication, chat messages, conversations, and projects.
- Defined interfaces for various entities including users, sessions, and message ratings.

build: configure TypeScript and testing setup

- Set up `tsconfig.json` for TypeScript configuration.
- Created `vitest.config.ts` for testing configuration with Vitest.
- Added `vitest.setup.ts` for global test setup including mocks for Next.js router and media queries.
- Configured Vercel deployment settings in `vercel.json`.
2026-06-11 16:54:43 +08:00

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Markdown

# Adding New Features
## Adding a New API Endpoint
This example adds a "Notification" feature end-to-end, following the
repository + service pattern used throughout the codebase. **Routes never
contain direct database calls** — all data access goes through a service,
which delegates to a repository.
1. **Create schema** in `schemas/`
```python
# schemas/notification.py
from datetime import datetime
from uuid import UUID
from pydantic import BaseModel
class NotificationCreate(BaseModel):
title: str
body: str
channel: str = "email"
class NotificationResponse(BaseModel):
id: UUID
title: str
body: str
channel: str
is_read: bool
created_at: datetime
```
2. **Create model** in `db/models/`
```python
# db/models/notification.py
from uuid import uuid4
from sqlalchemy import Boolean, DateTime, String, func
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import Mapped, mapped_column
from app.db.base import Base
class Notification(Base):
__tablename__ = "notifications"
id: Mapped[UUID] = mapped_column(
UUID(as_uuid=True), primary_key=True, default=uuid4
)
title: Mapped[str] = mapped_column(String(255))
body: Mapped[str] = mapped_column(String)
channel: Mapped[str] = mapped_column(String(50), default="email")
is_read: Mapped[bool] = mapped_column(Boolean, default=False)
created_at: Mapped[DateTime] = mapped_column(
DateTime(timezone=True), server_default=func.now()
)
```
Don't forget to import it in `db/models/__init__.py`.
3. **Create repository** in `repositories/`
```python
# repositories/notification.py
from uuid import UUID
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.db.models.notification import Notification
class NotificationRepository:
async def create(self, db: AsyncSession, **kwargs) -> Notification:
notification = Notification(**kwargs)
db.add(notification)
await db.flush()
await db.refresh(notification)
return notification
async def get_by_id(self, db: AsyncSession, notification_id: UUID) -> Notification | None:
return await db.get(Notification, notification_id)
async def list_unread(self, db: AsyncSession, limit: int = 50) -> list[Notification]:
result = await db.execute(
select(Notification)
.where(Notification.is_read.is_(False))
.order_by(Notification.created_at.desc())
.limit(limit)
)
return list(result.scalars().all())
```
4. **Create service** in `services/`
```python
# services/notification.py
from uuid import UUID
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.exceptions import NotFoundError
from app.repositories.notification import NotificationRepository
from app.schemas.notification import NotificationCreate
class NotificationService:
def __init__(self, db: AsyncSession):
self.db = db
self.repo = NotificationRepository()
async def create(self, data: NotificationCreate) -> "Notification":
return await self.repo.create(self.db, **data.model_dump())
async def get_or_raise(self, notification_id: UUID) -> "Notification":
notification = await self.repo.get_by_id(self.db, notification_id)
if not notification:
raise NotFoundError(
message="Notification not found",
details={"id": str(notification_id)},
)
return notification
async def list_unread(self) -> list["Notification"]:
return await self.repo.list_unread(self.db)
```
5. **Register dependency** in `api/deps.py`
```python
from app.services.notification import NotificationService
def get_notification_service(db: DBSession) -> NotificationService:
"""Create NotificationService instance with database session."""
return NotificationService(db)
NotificationSvc = Annotated[NotificationService, Depends(get_notification_service)]
```
6. **Create route** in `api/routes/v1/`
```python
# api/routes/v1/notifications.py
from fastapi import APIRouter, status
from app.api.deps import CurrentUser, NotificationSvc
from app.schemas.notification import NotificationCreate, NotificationResponse
router = APIRouter()
@router.post("/", response_model=NotificationResponse, status_code=status.HTTP_201_CREATED)
async def create_notification(
data: NotificationCreate,
current_user: CurrentUser,
service: NotificationSvc,
):
return await service.create(data)
@router.get("/", response_model=list[NotificationResponse])
async def list_unread(
current_user: CurrentUser,
service: NotificationSvc,
):
return await service.list_unread()
```
7. **Register router** in `api/routes/v1/__init__.py`
```python
from app.api.routes.v1 import notifications
v1_router.include_router(
notifications.router, prefix="/notifications", tags=["notifications"]
)
```
## Adding a Custom CLI Command
Commands are auto-discovered from `app/commands/`.
```python
# app/commands/my_command.py
from app.commands import command, success, error
import click
@command("my-command", help="Description of what this does")
@click.option("--name", "-n", required=True, help="Name parameter")
def my_command(name: str):
# Your logic here
success(f"Done: {name}")
```
Run with: `uv run ai_agent cmd my-command --name test`
## Adding an AI Agent Tool (PydanticAI)
```python
# app/agents/assistant.py
@agent.tool
async def my_tool(ctx: RunContext[Deps], param: str) -> dict:
"""Tool description for LLM - be specific about what it does."""
# Access dependencies via ctx.deps
result = await some_operation(param)
return {"result": result}
```
## Adding a Database Migration
```bash
# Create migration
uv run alembic revision --autogenerate -m "Add notifications table"
# Apply migration
uv run alembic upgrade head
# Or use CLI
uv run ai_agent db migrate -m "Add notifications table"
uv run ai_agent db upgrade
```