Update environment note (#1075)

* Update environment note

* Update memory.py

.pre-commit-config.yaml

@@ -2,7 +2,7 @@ fail_fast: false
 
 repos:
   - repo: https://github.com/abravalheri/validate-pyproject
-    rev: v0.23
+    rev: v0.24.1
     hooks:
       - id: validate-pyproject
 
@@ -14,10 +14,10 @@ repos:
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.11.4
+    rev: v0.12.1
     hooks:
       # Run the linter.
-      - id: ruff
+      - id: ruff-check
         args: [--fix, --exit-non-zero-on-fix]
       # Run the formatter.
       - id: ruff-format

docs/patterns/cli.mdx

@@ -160,7 +160,7 @@ fastmcp install cursor server.py
 fastmcp install mcp-json server.py
 ```
 
-Note that for security reasons, MCP clients run every server in a completely isolated environment. Therefore, all dependencies must be explicitly specified using the `--with` and/or `--with-editable` options (following `uv` conventions) or by attaching them to your server in code via the `dependencies` parameter.
+Note that for security reasons, MCP clients usually run every server in a completely isolated environment. Therefore, all dependencies must be explicitly specified using the `--with` and/or `--with-editable` options (following `uv` conventions) or by attaching them to your server in code via the `dependencies` parameter. You should not assume that the MCP server will have access to your local environment.
 
 <Warning>
 **`uv` must be installed and available in your system PATH**. Both Claude Desktop and Cursor run in isolated environments and need `uv` to manage dependencies. On macOS, install `uv` globally with Homebrew for Claude Desktop compatibility: `brew install uv`.

examples/memory.py

@@ -15,7 +15,7 @@ import os
 from dataclasses import dataclass
 from datetime import datetime, timezone
 from pathlib import Path
-from typing import Annotated, Self
+from typing import Annotated, Any, Self
 
 import asyncpg
 import numpy as np
@@ -60,12 +60,12 @@ def cosine_similarity(a: list[float], b: list[float]) -> float:
     )
 
 
-async def do_ai[T](
+async def do_ai(
     user_prompt: str,
     system_prompt: str,
-    result_type: type[T] | Annotated,
+    result_type: type | Annotated,
     deps=None,
-) -> T:
+) -> Any:
     agent = Agent(
         DEFAULT_LLM_MODEL,
         system_prompt=system_prompt,