release: 1.10.1

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "1.10.0"
+  ".": "1.10.1"
 }

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 29
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/arcade-ai%2Farcade-engine-0a15ddd7e03addf08468ff36ac294458f86a3a990277a71870e4bc293635bef9.yml
-openapi_spec_hash: 8640228f8a86e5dc464dfa2c8205a2a7
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/arcade-ai%2Farcade-engine-46ea61822976f3993310e2c139f133f450b489682d8df4c61b65c731edba8639.yml
+openapi_spec_hash: 8cd802f4d9cdfa000d35792175b3b203
 config_hash: 70cdb57c982c578d1961657c07b8b397

CHANGELOG.md

@@ -1,5 +1,22 @@
 # Changelog
 
+## 1.10.1 (2025-11-28)
+
+Full Changelog: [v1.10.0...v1.10.1](https://github.com/ArcadeAI/arcade-py/compare/v1.10.0...v1.10.1)
+
+### Bug Fixes
+
+* compat with Python 3.14 ([4453f62](https://github.com/ArcadeAI/arcade-py/commit/4453f62ffe78f5bf6ec84c89566a2581ef381cca))
+* **compat:** update signatures of `model_dump` and `model_dump_json` for Pydantic v1 ([d4527cf](https://github.com/ArcadeAI/arcade-py/commit/d4527cf2a0ab18f31c0b75d6b452a09f47bd15f5))
+* ensure streams are always closed ([e4be19e](https://github.com/ArcadeAI/arcade-py/commit/e4be19ee70952d16361d55acfc082875bd926c01))
+
+
+### Chores
+
+* add Python 3.14 classifier and testing ([8c6d5c5](https://github.com/ArcadeAI/arcade-py/commit/8c6d5c5ace8884839590c11a0b72f9ea70731e0e))
+* **deps:** mypy 1.18.1 has a regression, pin to 1.17 ([0c9e340](https://github.com/ArcadeAI/arcade-py/commit/0c9e3402e6714d2c1e4273ff5bd0e2dc00cce7b2))
+* **package:** drop Python 3.8 support ([d68084f](https://github.com/ArcadeAI/arcade-py/commit/d68084f663f4cf682457a195918d95cce6584772))
+
 ## 1.10.0 (2025-11-06)
 
 Full Changelog: [v1.9.0...v1.10.0](https://github.com/ArcadeAI/arcade-py/compare/v1.9.0...v1.10.0)

README.md

@@ -3,7 +3,7 @@
 <!-- prettier-ignore -->
 [![PyPI version](https://img.shields.io/pypi/v/arcadepy.svg?label=pypi%20(stable))](https://pypi.org/project/arcadepy/)
 
-The Arcade Python library provides convenient access to the Arcade REST API from any Python 3.8+
+The Arcade Python library provides convenient access to the Arcade REST API from any Python 3.9+
 application. The library includes type definitions for all request params and response fields,
 and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).
 
@@ -416,7 +416,7 @@ print(arcadepy.__version__)
 
 ## Requirements
 
-Python 3.8 or higher.
+Python 3.9 or higher.
 
 ## Contributing
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "arcadepy"
-version = "1.10.0"
+version = "1.10.1"
 description = "The official Python library for the Arcade API"
 dynamic = ["readme"]
 license = "MIT"
@@ -15,16 +15,16 @@ dependencies = [
     "distro>=1.7.0, <2",
     "sniffio",
 ]
-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",
   "Programming Language :: Python :: 3.12",
   "Programming Language :: Python :: 3.13",
+  "Programming Language :: Python :: 3.14",
   "Operating System :: OS Independent",
   "Operating System :: POSIX",
   "Operating System :: MacOS",
@@ -46,7 +46,7 @@ managed = true
 # version pins are in requirements-dev.lock
 dev-dependencies = [
     "pyright==1.1.399",
-    "mypy",
+    "mypy==1.17",
     "respx",
     "pytest",
     "pytest-asyncio",
@@ -141,7 +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",

requirements-dev.lock

@@ -72,7 +72,7 @@ mdurl==0.1.2
 multidict==6.4.4
     # via aiohttp
     # via yarl
-mypy==1.14.1
+mypy==1.17.0
 mypy-extensions==1.0.0
     # via mypy
 nodeenv==1.8.0
@@ -81,6 +81,8 @@ nox==2023.4.22
 packaging==23.2
     # via nox
     # via pytest
+pathspec==0.12.1
+    # via mypy
 platformdirs==3.11.0
     # via virtualenv
 pluggy==1.5.0

requirements.lock

@@ -55,21 +55,21 @@ multidict==6.4.4
 propcache==0.3.1
     # via aiohttp
     # via yarl
-pydantic==2.11.9
+pydantic==2.12.5
     # via arcadepy
-pydantic-core==2.33.2
+pydantic-core==2.41.5
     # via pydantic
 sniffio==1.3.0
     # via anyio
     # via arcadepy
-typing-extensions==4.12.2
+typing-extensions==4.15.0
     # via anyio
     # via arcadepy
     # via multidict
     # via pydantic
     # via pydantic-core
     # via typing-inspection
-typing-inspection==0.4.1
+typing-inspection==0.4.2
     # via pydantic
 yarl==1.20.0
     # via aiohttp

src/arcadepy/_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/arcadepy/_streaming.py

@@ -54,11 +54,12 @@ def __stream__(self) -> Iterator[_T]:
         process_data = self._client._process_response_data
         iterator = self._iter_events()
 
-        for sse in iterator:
-            yield process_data(data=sse.json(), cast_to=cast_to, response=response)
-
-        # As we might not fully consume the response stream, we need to close it explicitly
-        response.close()
+        try:
+            for sse in iterator:
+                yield process_data(data=sse.json(), cast_to=cast_to, response=response)
+        finally:
+            # Ensure the response is closed even if the consumer doesn't read all data
+            response.close()
 
     def __enter__(self) -> Self:
         return self
@@ -117,11 +118,12 @@ async def __stream__(self) -> AsyncIterator[_T]:
         process_data = self._client._process_response_data
         iterator = self._iter_events()
 
-        async for sse in iterator:
-            yield process_data(data=sse.json(), cast_to=cast_to, response=response)
-
-        # As we might not fully consume the response stream, we need to close it explicitly
-        await response.aclose()
+        try:
+            async for sse in iterator:
+                yield process_data(data=sse.json(), cast_to=cast_to, response=response)
+        finally:
+            # Ensure the response is closed even if the consumer doesn't read all data
+            await response.aclose()
 
     async def __aenter__(self) -> Self:
         return self

src/arcadepy/_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/arcadepy/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "arcadepy"
-__version__ = "1.10.0"  # x-release-please-version
+__version__ = "1.10.1"  # x-release-please-version