diff --git a/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/dependencies.md b/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/dependencies.md
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+# Dependency Injection
+
+Use dependencies when:
+
+* They can't be declared in Pydantic validation and require additional logic
+* The logic depends on external resources or could block in any other way
+* Other dependencies need their results (it's a sub-dependency)
+* The logic can be shared by multiple endpoints to do things like error early, handle authentication, etc.
+* They need to handle cleanup (e.g., DB sessions, file handles), using dependencies with `yield`
+* Their logic needs input data from the request, like headers, query parameters, etc.
+
+## Dependencies with `yield` and `scope`
+
+When using dependencies with `yield`, they can have a `scope` that defines when the exit code is run.
+
+Use the default scope `"request"` to run the exit code after the response is sent back.
+
+```python
+from typing import Annotated
+
+from fastapi import Depends, FastAPI
+
+app = FastAPI()
+
+
+def get_db():
+    db = DBSession()
+    try:
+        yield db
+    finally:
+        db.close()
+
+
+DBDep = Annotated[DBSession, Depends(get_db)]
+
+
+@app.get("/items/")
+async def read_items(db: DBDep):
+    return db.query(Item).all()
+```
+
+Use the scope `"function"` when they should run the exit code after the response data is generated but before the response is sent back to the client.
+
+```python
+from typing import Annotated
+
+from fastapi import Depends, FastAPI
+
+app = FastAPI()
+
+
+def get_username():
+    try:
+        yield "Rick"
+    finally:
+        print("Clean up before response is sent")
+
+UserNameDep = Annotated[str, Depends(get_username, scope="function")]
+
+@app.get("/users/me")
+def get_user_me(username: UserNameDep):
+    return username
+```
+
+## Class Dependencies
+
+Avoid creating class dependencies when possible.
+
+If a class is needed, instead create a regular function dependency that returns a class instance.
+
+Do this:
+
+```python
+from dataclasses import dataclass
+from typing import Annotated
+
+from fastapi import Depends, FastAPI
+
+app = FastAPI()
+
+
+@dataclass
+class DatabasePaginator:
+    offset: int = 0
+    limit: int = 100
+    q: str | None = None
+
+    def get_page(self) -> dict:
+        # Simulate a page of data
+        return {
+            "offset": self.offset,
+            "limit": self.limit,
+            "q": self.q,
+            "items": [],
+        }
+
+
+def get_db_paginator(
+    offset: int = 0, limit: int = 100, q: str | None = None
+) -> DatabasePaginator:
+    return DatabasePaginator(offset=offset, limit=limit, q=q)
+
+
+PaginatorDep = Annotated[DatabasePaginator, Depends(get_db_paginator)]
+
+
+@app.get("/items/")
+async def read_items(paginator: PaginatorDep):
+    return paginator.get_page()
+```
+
+instead of this:
+
+```python
+# DO NOT DO THIS
+from typing import Annotated
+
+from fastapi import Depends, FastAPI
+
+app = FastAPI()
+
+
+class DatabasePaginator:
+    def __init__(self, offset: int = 0, limit: int = 100, q: str | None = None):
+        self.offset = offset
+        self.limit = limit
+        self.q = q
+
+    def get_page(self) -> dict:
+        # Simulate a page of data
+        return {
+            "offset": self.offset,
+            "limit": self.limit,
+            "q": self.q,
+            "items": [],
+        }
+
+
+@app.get("/items/")
+async def read_items(paginator: Annotated[DatabasePaginator, Depends()]):
+    return paginator.get_page()
+```
diff --git a/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/other-tools.md b/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/other-tools.md
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+# Other Tools
+
+## uv
+
+If uv is available, use it to manage dependencies.
+
+## Ruff
+
+If Ruff is available, use it to lint and format the code. Consider enabling the FastAPI rules.
+
+## ty
+
+If ty is available, use it to check types.
+
+## Asyncer
+
+When needing to run blocking code inside of async functions, or async code inside of blocking functions, suggest using Asyncer.
+
+Prefer it over AnyIO or asyncio.
+
+Install:
+
+```bash
+uv add asyncer
+```
+
+Run blocking sync code inside of async with `asyncify()`:
+
+```python
+from asyncer import asyncify
+from fastapi import FastAPI
+
+app = FastAPI()
+
+
+def do_blocking_work(name: str) -> str:
+    # Some blocking I/O operation
+    return f"Hello {name}"
+
+
+@app.get("/items/")
+async def read_items():
+    result = await asyncify(do_blocking_work)(name="World")
+    return {"message": result}
+```
+
+And run async code inside of blocking sync code with `syncify()`:
+
+```python
+from asyncer import syncify
+from fastapi import FastAPI
+
+app = FastAPI()
+
+
+async def do_async_work(name: str) -> str:
+    return f"Hello {name}"
+
+
+@app.get("/items/")
+def read_items():
+    result = syncify(do_async_work)(name="World")
+    return {"message": result}
+```
+
+## SQLModel for SQL databases
+
+When working with SQL databases, prefer using SQLModel as it is integrated with Pydantic and will allow declaring data validation with the same models.
+
+Prefer it over SQLAlchemy.
+
+## HTTPX
+
+Use HTTPX for handling HTTP communication (e.g. with other APIs). It supports sync and async usage.
+
+Prefer it over Requests.
diff --git a/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/path-operations.md b/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/path-operations.md
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+# Path Operations and Routing
+
+## Including Routers
+
+When declaring routers, prefer to add router-level parameters like prefix, tags, and shared dependencies to the router itself instead of in `include_router()`.
+
+Do this:
+
+```python
+from fastapi import APIRouter, FastAPI
+
+app = FastAPI()
+
+router = APIRouter(prefix="/items", tags=["items"])
+
+
+@router.get("/")
+async def list_items():
+    return []
+
+
+app.include_router(router)
+```
+
+Instead of:
+
+```python
+# DO NOT DO THIS
+from fastapi import APIRouter, FastAPI
+
+app = FastAPI()
+
+router = APIRouter()
+
+
+@router.get("/")
+async def list_items():
+    return []
+
+
+app.include_router(router, prefix="/items", tags=["items"])
+```
+
+There could be exceptions, but try to follow this convention.
+
+Apply shared dependencies at the router level via `dependencies=[Depends(...)]`.
+
+## Use one HTTP operation per function
+
+Don't mix HTTP operations in a single function. Having one function per HTTP operation helps separate concerns and organize the code.
+
+Do this:
+
+```python
+from fastapi import FastAPI
+from pydantic import BaseModel
+
+app = FastAPI()
+
+
+class Item(BaseModel):
+    name: str
+
+
+@app.get("/items/")
+async def list_items():
+    return []
+
+
+@app.post("/items/")
+async def create_item(item: Item):
+    return item
+```
+
+Instead of:
+
+```python
+# DO NOT DO THIS
+from fastapi import FastAPI, Request
+from pydantic import BaseModel
+
+app = FastAPI()
+
+
+class Item(BaseModel):
+    name: str
+
+
+@app.api_route("/items/", methods=["GET", "POST"])
+async def handle_items(request: Request):
+    if request.method == "GET":
+        return []
+```
diff --git a/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/pydantic.md b/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/pydantic.md
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+# Pydantic
+
+## Do not use Ellipsis
+
+Do not use `...` as a default value for required parameters or model fields. It's not needed and not recommended.
+
+Do this, without Ellipsis (`...`):
+
+```python
+from typing import Annotated
+
+from fastapi import FastAPI, Query
+from pydantic import BaseModel, Field
+
+app = FastAPI()
+
+
+class Item(BaseModel):
+    name: str
+    description: str | None = None
+    price: float = Field(gt=0)
+
+
+@app.post("/items/")
+async def create_item(item: Item, project_id: Annotated[int, Query()]):
+    return item
+```
+
+Instead of:
+
+```python
+# DO NOT DO THIS
+from typing import Annotated
+
+from fastapi import FastAPI, Query
+from pydantic import BaseModel, Field
+
+app = FastAPI()
+
+
+class Item(BaseModel):
+    name: str = ...
+    description: str | None = None
+    price: float = Field(..., gt=0)
+
+
+@app.post("/items/")
+async def create_item(item: Item, project_id: Annotated[int, Query(...)]):
+    return item
+```
+
+## Do not use Pydantic RootModels
+
+Do not use Pydantic `RootModel`; instead use regular type annotations with `Annotated` and Pydantic validation utilities.
+
+For example, for a list with validations:
+
+```python
+from typing import Annotated
+
+from fastapi import Body, FastAPI
+from pydantic import Field
+
+app = FastAPI()
+
+
+@app.post("/items/")
+async def create_items(items: Annotated[list[int], Field(min_length=1), Body()]):
+    return items
+```
+
+Instead of:
+
+```python
+# DO NOT DO THIS
+from typing import Annotated
+
+from fastapi import FastAPI
+from pydantic import Field, RootModel
+
+app = FastAPI()
+
+
+class ItemList(RootModel[Annotated[list[int], Field(min_length=1)]]):
+    pass
+
+
+@app.post("/items/")
+async def create_items(items: ItemList):
+    return items
+```
+
+FastAPI supports these type annotations and will create a Pydantic `TypeAdapter` for them, so types work normally without custom wrapper models.
diff --git a/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/responses.md b/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/responses.md
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--- /dev/null
+++ b/venv/Lib/site-packages/fastapi/.agents/skills/fastapi/references/responses.md
@@ -0,0 +1,79 @@
+# Responses
+
+## Return Type or Response Model
+
+When possible, include a return type. It will be used to validate, filter, document, and serialize the response.
+
+```python
+from fastapi import FastAPI
+from pydantic import BaseModel
+
+app = FastAPI()
+
+
+class Item(BaseModel):
+    name: str
+    description: str | None = None
+
+
+@app.get("/items/me")
+async def get_item() -> Item:
+    return Item(name="Plumbus", description="All-purpose home device")
+```
+
+Return types or response models filter data to avoid exposing sensitive information. They also let Pydantic serialize data on the Rust side for performance.
+
+The return type doesn't have to be a Pydantic model. It can be a different type, like a list of integers, a dict, etc.
+
+## When to use `response_model`
+
+If the return type is not the same as the type that you want to use to validate, filter, or serialize, use the `response_model` parameter on the decorator.
+
+```python
+from typing import Any
+
+from fastapi import FastAPI
+from pydantic import BaseModel
+
+app = FastAPI()
+
+
+class Item(BaseModel):
+    name: str
+    description: str | None = None
+
+
+@app.get("/items/me", response_model=Item)
+async def get_item() -> Any:
+    return {"name": "Foo", "description": "A very nice Item"}
+```
+
+This is particularly useful when filtering data to expose only the public fields and avoid exposing sensitive information.
+
+```python
+from typing import Any
+
+from fastapi import FastAPI
+from pydantic import BaseModel
+
+app = FastAPI()
+
+
+class InternalItem(BaseModel):
+    name: str
+    description: str | None = None
+    secret_key: str
+
+
+class Item(BaseModel):
+    name: str
+    description: str | None = None
+
+
+@app.get("/items/me", response_model=Item)
+async def get_item() -> Any:
+    item = InternalItem(
+        name="Foo", description="A very nice Item", secret_key="supersecret"
+    )
+    return item
+```