fix: bump jiter dep

instructor/batch.py

@@ -1,6 +1,6 @@
 from typing import Any, Union, TypeVar, Optional
 from collections.abc import Iterable
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field  # type: ignore
 from instructor.process_response import handle_response_model
 import instructor
 import uuid

instructor/dsl/citation.py

@@ -1,4 +1,4 @@
-from pydantic import BaseModel, Field, model_validator, ValidationInfo
+from pydantic import BaseModel, Field, model_validator, ValidationInfo  # type: ignore
 from collections.abc import Generator
 
 

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
+from pydantic import BaseModel, Field, create_model  # type: ignore
 
 from instructor.function_calls import OpenAISchema
 from instructor.mode import Mode

instructor/dsl/maybe.py

@@ -1,4 +1,4 @@
-from pydantic import BaseModel, Field, create_model
+from pydantic import BaseModel, Field, create_model  # type: ignore
 from typing import Generic, Optional, TypeVar
 
 T = TypeVar("T", bound=BaseModel)

instructor/dsl/validators.py

@@ -1,7 +1,7 @@
 from typing import Callable, Optional
 
 from openai import OpenAI
-from pydantic import Field
+from pydantic import Field  # type: ignore
 
 from instructor.function_calls import OpenAISchema
 from instructor.client import Instructor

instructor/multimodal.py

@@ -18,7 +18,7 @@
 from urllib.parse import urlparse
 import mimetypes
 import requests
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field  # type:ignore
 from .mode import Mode
 
 F = TypeVar("F", bound=Callable[..., Any])
@@ -43,9 +43,9 @@ class ImageParams(ImageParamsBase, total=False):
 
 class Image(BaseModel):
     source: Union[str, Path] = Field(  # noqa: UP007
-        ..., description="URL, file path, or base64 data of the image"
+        description="URL, file path, or base64 data of the image"
     )
-    media_type: str = Field(..., description="MIME type of the image")
+    media_type: str = Field(description="MIME type of the image")
     data: Union[str, None] = Field(  # noqa: UP007
         None, description="Base64 encoded image data", repr=False
     )
@@ -208,7 +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: Union[str, Path] = Field(..., description="URL or file path of the audio")  # noqa: UP007
+    source: Union[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
     )

pyproject.toml

@@ -18,7 +18,7 @@ rich = "^13.7.0"
 aiohttp = "^3.9.1"
 tenacity = ">=9.0.0,<10.0.0"
 pydantic-core = "^2.18.0"
-jiter = ">=0.5,<0.7"
+jiter = ">=0.6.1,<0.7"
 jinja2 = "^3.1.4"
 requests = "^2.32.3"