fix: suppress Pydantic deprecation warnings in initialization (#3443)

* fix: suppress Pydantic deprecation warnings in initialization

- Implemented a function to filter out Pydantic deprecation warnings, enhancing the user experience by preventing unnecessary warning messages during execution.
- Removed the previous warning filter setup to streamline the warning suppression process.
- Updated the User-Agent header formatting for consistency.

* fix type check

* dropped

* fix: update type-checker workflow and suppress warnings

- Updated the Python version matrix in the type-checker workflow to use double quotes for consistency.
- Added the `# type: ignore[assignment]` comment to the warning suppression assignment in `__init__.py` to address type checking issues.
- Ensured that the mypy command in the workflow allows for untyped calls and generics, enhancing type checking flexibility.

* better

.github/workflows/type-checker.yml

@@ -12,7 +12,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ['3.10', '3.11', '3.12', '3.13']
+        python-version: ["3.10", "3.11", "3.12", "3.13"]
 
     steps:
       - name: Checkout code

src/crewai/__init__.py

@@ -1,4 +1,30 @@
 import warnings
+from typing import Any
+
+
+def _suppress_pydantic_deprecation_warnings() -> None:
+    """Suppress Pydantic deprecation warnings using targeted monkey patch."""
+    original_warn = warnings.warn
+
+    def filtered_warn(
+        message: Any,
+        category: type | None = None,
+        stacklevel: int = 1,
+        source: Any = None,
+    ) -> Any:
+        if (
+            category
+            and hasattr(category, "__module__")
+            and category.__module__ == "pydantic.warnings"
+        ):
+            return None
+        return original_warn(message, category, stacklevel + 1, source)
+
+    setattr(warnings, "warn", filtered_warn)
+
+
+_suppress_pydantic_deprecation_warnings()
+
 import threading
 import urllib.request
 
@@ -15,17 +41,10 @@ from crewai.tasks.llm_guardrail import LLMGuardrail
 from crewai.tasks.task_output import TaskOutput
 from crewai.telemetry.telemetry import Telemetry
 
-warnings.filterwarnings(
-    "ignore",
-    message="Pydantic serializer warnings:",
-    category=UserWarning,
-    module="pydantic.main",
-)
-
 _telemetry_submitted = False
 
 
-def _track_install():
+def _track_install() -> None:
     """Track package installation/first-use via Scarf analytics."""
     global _telemetry_submitted
 
@@ -36,7 +55,7 @@ def _track_install():
         pixel_url = "https://api.scarf.sh/v2/packages/CrewAI/crewai/docs/00f2dad1-8334-4a39-934e-003b2e1146db"
 
         req = urllib.request.Request(pixel_url)
-        req.add_header('User-Agent', f'CrewAI-Python/{__version__}')
+        req.add_header("User-Agent", f"CrewAI-Python/{__version__}")
 
         with urllib.request.urlopen(req, timeout=2):  # nosec B310
             _telemetry_submitted = True
@@ -45,7 +64,7 @@ def _track_install():
         pass
 
 
-def _track_install_async():
+def _track_install_async() -> None:
     """Track installation in background thread to avoid blocking imports."""
     if not Telemetry._is_telemetry_disabled():
         thread = threading.Thread(target=_track_install, daemon=True)