release: 2.0.0-beta.3

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "2.0.0-beta.2"
+  ".": "2.0.0-beta.3"
 }

CHANGELOG.md

@@ -1,5 +1,22 @@
 # Changelog
 
+## 2.0.0-beta.3 (2025-11-11)
+
+Full Changelog: [v2.0.0-beta.2...v2.0.0-beta.3](https://github.com/replicate/replicate-python-beta/compare/v2.0.0-beta.2...v2.0.0-beta.3)
+
+### Bug Fixes
+
+* **client:** close streams without requiring full consumption ([73bd0ab](https://github.com/replicate/replicate-python-beta/commit/73bd0ab734be57dab38fe3c59d43e016429f16ed))
+* compat with Python 3.14 ([ad4b6b3](https://github.com/replicate/replicate-python-beta/commit/ad4b6b38c97cab6710f5601578eed7410b0d37a1))
+* **compat:** update signatures of `model_dump` and `model_dump_json` for Pydantic v1 ([56fbff8](https://github.com/replicate/replicate-python-beta/commit/56fbff8ad39623efa3cba2db497e0e084c542e3d))
+
+
+### Chores
+
+* **internal/tests:** avoid race condition with implicit client cleanup ([2e35773](https://github.com/replicate/replicate-python-beta/commit/2e3577300dcb0222c1d1d9e830e63d34b3c13296))
+* **internal:** grammar fix (it's -> its) ([7f6ba66](https://github.com/replicate/replicate-python-beta/commit/7f6ba660cb0ef32ec09b51b2b59256eaf3bc973a))
+* **package:** drop Python 3.8 support ([9c1211c](https://github.com/replicate/replicate-python-beta/commit/9c1211c67a28d3aa431b7cbcb553539e8d6d5f2c))
+
 ## 2.0.0-beta.2 (2025-10-23)
 
 Full Changelog: [v2.0.0-beta.1...v2.0.0-beta.2](https://github.com/replicate/replicate-python-beta/compare/v2.0.0-beta.1...v2.0.0-beta.2)

README.md

@@ -689,7 +689,7 @@ print(replicate.__version__)
 
 ## Requirements
 
-Python 3.8 or higher.
+Python 3.9 or higher.
 
 ## Contributing
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "replicate"
-version = "2.0.0-beta.2"
+version = "2.0.0-beta.3"
 description = "The official Python library for the replicate API"
 dynamic = ["readme"]
 license = "Apache-2.0"
@@ -16,11 +16,10 @@ dependencies = [
     "sniffio",
     "packaging>=25.0",
 ]
-requires-python = ">= 3.8"
+requires-python = ">= 3.9"
 classifiers = [
   "Typing :: Typed",
   "Intended Audience :: Developers",
-  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
@@ -142,7 +141,7 @@ filterwarnings = [
 # there are a couple of flags that are still disabled by
 # default in strict mode as they are experimental and niche.
 typeCheckingMode = "strict"
-pythonVersion = "3.8"
+pythonVersion = "3.9"
 
 exclude = [
     "_dev",

src/replicate/_models.py

@@ -2,6 +2,7 @@
 
 import os
 import inspect
+import weakref
 from typing import TYPE_CHECKING, Any, Type, Union, Generic, TypeVar, Callable, Optional, cast
 from datetime import date, datetime
 from typing_extensions import (
@@ -256,32 +257,41 @@ def model_dump(
             mode: Literal["json", "python"] | str = "python",
             include: IncEx | None = None,
             exclude: IncEx | None = None,
+            context: Any | None = None,
             by_alias: bool | None = None,
             exclude_unset: bool = False,
             exclude_defaults: bool = False,
             exclude_none: bool = False,
+            exclude_computed_fields: bool = False,
             round_trip: bool = False,
             warnings: bool | Literal["none", "warn", "error"] = True,
-            context: dict[str, Any] | None = None,
-            serialize_as_any: bool = False,
             fallback: Callable[[Any], Any] | None = None,
+            serialize_as_any: bool = False,
         ) -> dict[str, Any]:
             """Usage docs: https://docs.pydantic.dev/2.4/concepts/serialization/#modelmodel_dump
 
             Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
 
             Args:
                 mode: The mode in which `to_python` should run.
-                    If mode is 'json', the dictionary will only contain JSON serializable types.
-                    If mode is 'python', the dictionary may contain any Python objects.
-                include: A list of fields to include in the output.
-                exclude: A list of fields to exclude from the output.
+                    If mode is 'json', the output will only contain JSON serializable types.
+                    If mode is 'python', the output may contain non-JSON-serializable Python objects.
+                include: A set of fields to include in the output.
+                exclude: A set of fields to exclude from the output.
+                context: Additional context to pass to the serializer.
                 by_alias: Whether to use the field's alias in the dictionary key if defined.
-                exclude_unset: Whether to exclude fields that are unset or None from the output.
-                exclude_defaults: Whether to exclude fields that are set to their default value from the output.
-                exclude_none: Whether to exclude fields that have a value of `None` from the output.
-                round_trip: Whether to enable serialization and deserialization round-trip support.
-                warnings: Whether to log warnings when invalid fields are encountered.
+                exclude_unset: Whether to exclude fields that have not been explicitly set.
+                exclude_defaults: Whether to exclude fields that are set to their default value.
+                exclude_none: Whether to exclude fields that have a value of `None`.
+                exclude_computed_fields: Whether to exclude computed fields.
+                    While this can be useful for round-tripping, it is usually recommended to use the dedicated
+                    `round_trip` parameter instead.
+                round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T].
+                warnings: How to handle serialization errors. False/"none" ignores them, True/"warn" logs errors,
+                    "error" raises a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError].
+                fallback: A function to call when an unknown value is encountered. If not provided,
+                    a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError] error is raised.
+                serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.
 
             Returns:
                 A dictionary representation of the model.
@@ -298,6 +308,8 @@ def model_dump(
                 raise ValueError("serialize_as_any is only supported in Pydantic v2")
             if fallback is not None:
                 raise ValueError("fallback is only supported in Pydantic v2")
+            if exclude_computed_fields != False:
+                raise ValueError("exclude_computed_fields is only supported in Pydantic v2")
             dumped = super().dict(  # pyright: ignore[reportDeprecated]
                 include=include,
                 exclude=exclude,
@@ -314,15 +326,17 @@ def model_dump_json(
             self,
             *,
             indent: int | None = None,
+            ensure_ascii: bool = False,
             include: IncEx | None = None,
             exclude: IncEx | None = None,
+            context: Any | None = None,
             by_alias: bool | None = None,
             exclude_unset: bool = False,
             exclude_defaults: bool = False,
             exclude_none: bool = False,
+            exclude_computed_fields: bool = False,
             round_trip: bool = False,
             warnings: bool | Literal["none", "warn", "error"] = True,
-            context: dict[str, Any] | None = None,
             fallback: Callable[[Any], Any] | None = None,
             serialize_as_any: bool = False,
         ) -> str:
@@ -354,6 +368,10 @@ def model_dump_json(
                 raise ValueError("serialize_as_any is only supported in Pydantic v2")
             if fallback is not None:
                 raise ValueError("fallback is only supported in Pydantic v2")
+            if ensure_ascii != False:
+                raise ValueError("ensure_ascii is only supported in Pydantic v2")
+            if exclude_computed_fields != False:
+                raise ValueError("exclude_computed_fields is only supported in Pydantic v2")
             return super().json(  # type: ignore[reportDeprecated]
                 indent=indent,
                 include=include,
@@ -573,6 +591,9 @@ class CachedDiscriminatorType(Protocol):
     __discriminator__: DiscriminatorDetails
 
 
+DISCRIMINATOR_CACHE: weakref.WeakKeyDictionary[type, DiscriminatorDetails] = weakref.WeakKeyDictionary()
+
+
 class DiscriminatorDetails:
     field_name: str
     """The name of the discriminator field in the variant class, e.g.
@@ -615,8 +636,9 @@ def __init__(
 
 
 def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any, ...]) -> DiscriminatorDetails | None:
-    if isinstance(union, CachedDiscriminatorType):
-        return union.__discriminator__
+    cached = DISCRIMINATOR_CACHE.get(union)
+    if cached is not None:
+        return cached
 
     discriminator_field_name: str | None = None
 
@@ -669,7 +691,7 @@ def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any,
         discriminator_field=discriminator_field_name,
         discriminator_alias=discriminator_alias,
     )
-    cast(CachedDiscriminatorType, union).__discriminator__ = details
+    DISCRIMINATOR_CACHE.setdefault(union, details)
     return details
 
 

src/replicate/_streaming.py

@@ -57,9 +57,8 @@ def __stream__(self) -> Iterator[_T]:
         for sse in iterator:
             yield process_data(data=sse.json(), cast_to=cast_to, response=response)
 
-        # Ensure the entire stream is consumed
-        for _sse in iterator:
-            ...
+        # As we might not fully consume the response stream, we need to close it explicitly
+        response.close()
 
     def __enter__(self) -> Self:
         return self
@@ -121,9 +120,8 @@ async def __stream__(self) -> AsyncIterator[_T]:
         async for sse in iterator:
             yield process_data(data=sse.json(), cast_to=cast_to, response=response)
 
-        # Ensure the entire stream is consumed
-        async for _sse in iterator:
-            ...
+        # As we might not fully consume the response stream, we need to close it explicitly
+        await response.aclose()
 
     async def __aenter__(self) -> Self:
         return self

src/replicate/_utils/_sync.py

@@ -1,10 +1,8 @@
 from __future__ import annotations
 
-import sys
 import asyncio
 import functools
-import contextvars
-from typing import Any, TypeVar, Callable, Awaitable
+from typing import TypeVar, Callable, Awaitable
 from typing_extensions import ParamSpec
 
 import anyio
@@ -15,34 +13,11 @@
 T_ParamSpec = ParamSpec("T_ParamSpec")
 
 
-if sys.version_info >= (3, 9):
-    _asyncio_to_thread = asyncio.to_thread
-else:
-    # backport of https://docs.python.org/3/library/asyncio-task.html#asyncio.to_thread
-    # for Python 3.8 support
-    async def _asyncio_to_thread(
-        func: Callable[T_ParamSpec, T_Retval], /, *args: T_ParamSpec.args, **kwargs: T_ParamSpec.kwargs
-    ) -> Any:
-        """Asynchronously run function *func* in a separate thread.
-
-        Any *args and **kwargs supplied for this function are directly passed
-        to *func*. Also, the current :class:`contextvars.Context` is propagated,
-        allowing context variables from the main thread to be accessed in the
-        separate thread.
-
-        Returns a coroutine that can be awaited to get the eventual result of *func*.
-        """
-        loop = asyncio.events.get_running_loop()
-        ctx = contextvars.copy_context()
-        func_call = functools.partial(ctx.run, func, *args, **kwargs)
-        return await loop.run_in_executor(None, func_call)
-
-
 async def to_thread(
     func: Callable[T_ParamSpec, T_Retval], /, *args: T_ParamSpec.args, **kwargs: T_ParamSpec.kwargs
 ) -> T_Retval:
     if sniffio.current_async_library() == "asyncio":
-        return await _asyncio_to_thread(func, *args, **kwargs)
+        return await asyncio.to_thread(func, *args, **kwargs)
 
     return await anyio.to_thread.run_sync(
         functools.partial(func, *args, **kwargs),
@@ -53,10 +28,7 @@ async def to_thread(
 def asyncify(function: Callable[T_ParamSpec, T_Retval]) -> Callable[T_ParamSpec, Awaitable[T_Retval]]:
     """
     Take a blocking function and create an async one that receives the same
-    positional and keyword arguments. For python version 3.9 and above, it uses
-    asyncio.to_thread to run the function in a separate thread. For python version
-    3.8, it uses locally defined copy of the asyncio.to_thread function which was
-    introduced in python 3.9.
+    positional and keyword arguments.
 
     Usage:
 

src/replicate/_utils/_utils.py

@@ -133,7 +133,7 @@ def is_given(obj: _T | NotGiven | Omit) -> TypeGuard[_T]:
 # Type safe methods for narrowing types with TypeVars.
 # The default narrowing for isinstance(obj, dict) is dict[unknown, unknown],
 # however this cause Pyright to rightfully report errors. As we know we don't
-# care about the contained types we can safely use `object` in it's place.
+# care about the contained types we can safely use `object` in its place.
 #
 # There are two separate functions defined, `is_*` and `is_*_t` for different use cases.
 # `is_*` is for when you're dealing with an unknown input

src/replicate/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "replicate"
-__version__ = "2.0.0-beta.2"  # x-release-please-version
+__version__ = "2.0.0-beta.3"  # x-release-please-version