diff --git a/instructor/batch.py b/instructor/batch.py
index ee37a9ca5..480bcd70b 100644
--- a/instructor/batch.py
+++ b/instructor/batch.py
@@ -1,6 +1,6 @@
 from typing import Any, Union, TypeVar, Optional
 from collections.abc import Iterable
-from pydantic import BaseModel, Field  # type: ignore
+from pydantic import BaseModel, Field
 from instructor.process_response import handle_response_model
 import instructor
 import uuid
@@ -139,7 +139,7 @@ def create_from_messages(
                             "temperature": temperature,
                             "messages": messages,
                             **kwargs,
-                        }
+                        },
                     }
                     file.write(json.dumps(request) + "\n")
         else:
@@ -159,6 +159,6 @@ def create_from_messages(
                             **kwargs,
                         ),
                         method="POST",
-                        url="/v1/chat/completions"
+                        url="/v1/chat/completions",
                     )
                     file.write(batch_model.model_dump_json() + "\n")
diff --git a/instructor/dsl/citation.py b/instructor/dsl/citation.py
index 239de94f7..c5ccd4f04 100644
--- a/instructor/dsl/citation.py
+++ b/instructor/dsl/citation.py
@@ -1,4 +1,4 @@
-from pydantic import BaseModel, Field, model_validator, ValidationInfo  # type: ignore
+from pydantic import BaseModel, Field, model_validator, ValidationInfo
 from collections.abc import Generator
 
 
diff --git a/instructor/dsl/iterable.py b/instructor/dsl/iterable.py
index 55f1da287..d8aedfbcb 100644
--- a/instructor/dsl/iterable.py
+++ b/instructor/dsl/iterable.py
@@ -1,7 +1,7 @@
 from typing import Any, Optional, cast, ClassVar
 from collections.abc import AsyncGenerator, Generator, Iterable
 
-from pydantic import BaseModel, Field, create_model  # type: ignore
+from pydantic import BaseModel, Field, create_model
 
 from instructor.function_calls import OpenAISchema
 from instructor.mode import Mode
@@ -109,7 +109,12 @@ def extract_json(
                     }:
                         if json_chunk := chunk.choices[0].delta.content:
                             yield json_chunk
-                    elif mode in {Mode.TOOLS, Mode.TOOLS_STRICT, Mode.FIREWORKS_TOOLS, Mode.WRITER_TOOLS}:
+                    elif mode in {
+                        Mode.TOOLS,
+                        Mode.TOOLS_STRICT,
+                        Mode.FIREWORKS_TOOLS,
+                        Mode.WRITER_TOOLS,
+                    }:
                         if json_chunk := chunk.choices[0].delta.tool_calls:
                             if json_chunk[0].function.arguments is not None:
                                 yield json_chunk[0].function.arguments
@@ -145,7 +150,12 @@ async def extract_json_async(
                     }:
                         if json_chunk := chunk.choices[0].delta.content:
                             yield json_chunk
-                    elif mode in {Mode.TOOLS, Mode.TOOLS_STRICT, Mode.FIREWORKS_TOOLS, Mode.WRITER_TOOLS}:
+                    elif mode in {
+                        Mode.TOOLS,
+                        Mode.TOOLS_STRICT,
+                        Mode.FIREWORKS_TOOLS,
+                        Mode.WRITER_TOOLS,
+                    }:
                         if json_chunk := chunk.choices[0].delta.tool_calls:
                             if json_chunk[0].function.arguments is not None:
                                 yield json_chunk[0].function.arguments
diff --git a/instructor/dsl/maybe.py b/instructor/dsl/maybe.py
index 6363be51a..4314de057 100644
--- a/instructor/dsl/maybe.py
+++ b/instructor/dsl/maybe.py
@@ -1,4 +1,4 @@
-from pydantic import BaseModel, Field, create_model  # type: ignore
+from pydantic import BaseModel, Field, create_model 
 from typing import Generic, Optional, TypeVar
 
 T = TypeVar("T", bound=BaseModel)
diff --git a/instructor/dsl/validators.py b/instructor/dsl/validators.py
index 2c14d23f4..d6fa99c44 100644
--- a/instructor/dsl/validators.py
+++ b/instructor/dsl/validators.py
@@ -1,7 +1,7 @@
 from typing import Callable, Optional
 
 from openai import OpenAI
-from pydantic import Field  # type: ignore
+from pydantic import Field
 
 from instructor.function_calls import OpenAISchema
 from instructor.client import Instructor
diff --git a/instructor/multimodal.py b/instructor/multimodal.py
index 3aff72c7b..a25738b55 100644
--- a/instructor/multimodal.py
+++ b/instructor/multimodal.py
@@ -18,7 +18,7 @@
 from urllib.parse import urlparse
 import mimetypes
 import requests
-from pydantic import BaseModel, Field  # type:ignore
+from pydantic import BaseModel, Field
 from .mode import Mode
 
 F = TypeVar("F", bound=Callable[..., Any])
@@ -76,9 +76,7 @@ def autodetect(cls, source: Union[str, Path]) -> Image:  # noqa: UP007
         raise ValueError("Unable to determine image type or unsupported image format")
 
     @classmethod
-    def autodetect_safely(
-        cls, source: str | Path
-    ) -> Union[Image, str]:  # noqa: UP007
+    def autodetect_safely(cls, source: str | Path) -> Union[Image, str]:  # noqa: UP007
         """Safely attempt to autodetect an image from a source string or path.
 
         Args:
@@ -210,9 +208,7 @@ def to_openai(self) -> dict[str, Any]:
 class Audio(BaseModel):
     """Represents an audio that can be loaded from a URL or file path."""
 
-    source: str | Path = Field(
-        description="URL or file path of the audio"
-    )  # noqa: UP007
+    source: str | Path = Field(description="URL or file path of the audio")  # noqa: UP007
     data: Union[str, None] = Field(  # noqa: UP007
         None, description="Base64 encoded audio data", repr=False
     )
@@ -343,9 +339,7 @@ def is_image_params(x: Any) -> bool:
         }
         if autodetect_images:
             if isinstance(content, list):
-                new_content: list[str | dict[str, Any] | Image | Audio] = (
-                    []
-                )  # noqa: UP007
+                new_content: list[str | dict[str, Any] | Image | Audio] = []  # noqa: UP007
                 for item in content:
                     if isinstance(item, str):
                         new_content.append(Image.autodetect_safely(item))
@@ -365,8 +359,12 @@ def is_image_params(x: Any) -> bool:
                     cast(ImageParams, content)
                 )
         if isinstance(content, str):
-            converted_messages.append({"role": role, "content": content, **other_kwargs})  # type: ignore
+            converted_messages.append(  # type: ignore
+                {"role": role, "content": content, **other_kwargs}
+            )
         else:
             converted_content = convert_contents(content, mode)
-            converted_messages.append({"role": role, "content": converted_content, **other_kwargs})  # type: ignore
+            converted_messages.append(  # type: ignore
+                {"role": role, "content": converted_content, **other_kwargs}
+            )
     return converted_messages  # type: ignore