Next release branch

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 75
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/togetherai/togetherai-e1200616b1a93d40e478800d2c9e06ddeb10b508f2a9aa65810ee31878ba4f23.yml
-openapi_spec_hash: 23245993d115722da1b697f10799f4f1
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/togetherai/togetherai-72e377e4d7f3fe8bb9f0dab1a70d7d9cf0f44914ff4d9b8ab238bc7f48008621.yml
+openapi_spec_hash: 798c6d992a5cb83901b5879502c22f9d
 config_hash: 6c214c91fad5ead4849be777fd9e8108

src/together/_files.py

@@ -99,7 +99,7 @@ async def async_to_httpx_files(files: RequestFiles | None) -> HttpxRequestFiles
     elif is_sequence_t(files):
         files = [(key, await _async_transform_file(file)) for key, file in files]
     else:
-        raise TypeError("Unexpected file type input {type(files)}, expected mapping or sequence")
+        raise TypeError(f"Unexpected file type input {type(files)}, expected mapping or sequence")
 
     return files
 

src/together/_models.py

@@ -25,7 +25,9 @@
     ClassVar,
     Protocol,
     Required,
+    Annotated,
     ParamSpec,
+    TypeAlias,
     TypedDict,
     TypeGuard,
     final,
@@ -79,7 +81,15 @@
 from ._constants import RAW_RESPONSE_HEADER
 
 if TYPE_CHECKING:
+    from pydantic import GetCoreSchemaHandler, ValidatorFunctionWrapHandler
+    from pydantic_core import CoreSchema, core_schema
     from pydantic_core.core_schema import ModelField, ModelSchema, LiteralSchema, ModelFieldsSchema
+else:
+    try:
+        from pydantic_core import CoreSchema, core_schema
+    except ImportError:
+        CoreSchema = None
+        core_schema = None
 
 __all__ = ["BaseModel", "GenericModel"]
 
@@ -396,6 +406,76 @@ def model_dump_json(
             )
 
 
+class _EagerIterable(list[_T], Generic[_T]):
+    """
+    Accepts any Iterable[T] input (including generators), consumes it
+    eagerly, and validates all items upfront.
+
+    Validation preserves the original container type where possible
+    (e.g. a set[T] stays a set[T]).  Serialization (model_dump / JSON)
+    always emits a list — round-tripping through model_dump() will not
+    restore the original container type.
+    """
+
+    @classmethod
+    def __get_pydantic_core_schema__(
+        cls,
+        source_type: Any,
+        handler: GetCoreSchemaHandler,
+    ) -> CoreSchema:
+        (item_type,) = get_args(source_type) or (Any,)
+        item_schema: CoreSchema = handler.generate_schema(item_type)
+        list_of_items_schema: CoreSchema = core_schema.list_schema(item_schema)
+
+        return core_schema.no_info_wrap_validator_function(
+            cls._validate,
+            list_of_items_schema,
+            serialization=core_schema.plain_serializer_function_ser_schema(
+                cls._serialize,
+                info_arg=False,
+            ),
+        )
+
+    @staticmethod
+    def _validate(v: Iterable[_T], handler: "ValidatorFunctionWrapHandler") -> Any:
+        original_type: type[Any] = type(v)
+
+        # Normalize to list so list_schema can validate each item
+        if isinstance(v, list):
+            items: list[_T] = v
+        else:
+            try:
+                items = list(v)
+            except TypeError as e:
+                raise TypeError("Value is not iterable") from e
+
+        # Validate items against the inner schema
+        validated: list[_T] = handler(items)
+
+        # Reconstruct original container type
+        if original_type is list:
+            return validated
+        # str(list) produces the list's repr, not a string built from items,
+        # so skip reconstruction for str and its subclasses.
+        if issubclass(original_type, str):
+            return validated
+        try:
+            return original_type(validated)
+        except (TypeError, ValueError):
+            # If the type cannot be reconstructed, just return the validated list
+            return validated
+
+    @staticmethod
+    def _serialize(v: Iterable[_T]) -> list[_T]:
+        """Always serialize as a list so Pydantic's JSON encoder is happy."""
+        if isinstance(v, list):
+            return v
+        return list(v)
+
+
+EagerIterable: TypeAlias = Annotated[Iterable[_T], _EagerIterable]
+
+
 def _construct_field(value: object, field: FieldInfo, key: str) -> object:
     if value is None:
         return field_get_default(field)

src/together/lib/__init__.py

@@ -10,10 +10,12 @@
     UploadManager,
     DownloadManager,
     AsyncUploadManager,
+    AsyncDownloadManager,
 )
 
 __all__ = [
     "DownloadManager",
+    "AsyncDownloadManager",
     "AsyncUploadManager",
     "UploadManager",
     "FinetuneTrainingLimits",