feat(api): update via SDK Studio

.github/workflows/ci.yml

@@ -25,20 +25,10 @@ jobs:
           RYE_INSTALL_OPTION: '--yes'
 
       - name: Install dependencies
-        run: |
-          rye sync --all-features
-
-      - name: Run ruff
-        run: |
-          rye run check:ruff
+        run: rye sync --all-features
 
-      - name: Run type checking
-        run: |
-          rye run typecheck
-
-      - name: Ensure importable
-        run: |
-          rye run python -c 'import honcho'
+      - name: Run lints
+        run: ./scripts/lint
   test:
     name: test
     runs-on: ubuntu-latest

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "0.0.1-alpha.0"
+  ".": "0.0.8-alpha.1"
 }

.stats.yml

@@ -1,2 +1,2 @@
 configured_endpoints: 38
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/plastic-labs%2FHoncho-a370506bdacaf58567fea52cb6312d99b0e211dd67c8d1ffb896fcf6abfee16b.yml
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/plastic-labs%2Fhoncho-a370506bdacaf58567fea52cb6312d99b0e211dd67c8d1ffb896fcf6abfee16b.yml

SECURITY.md

@@ -0,0 +1,27 @@
+# Security Policy
+
+## Reporting Security Issues
+
+This SDK is generated by [Stainless Software Inc](http://stainlessapi.com). Stainless takes security seriously, and encourages you to report any security vulnerability promptly so that appropriate action can be taken.
+
+To report a security issue, please contact the Stainless team at security@stainlessapi.com.
+
+## Responsible Disclosure
+
+We appreciate the efforts of security researchers and individuals who help us maintain the security of
+SDKs we generate. If you believe you have found a security vulnerability, please adhere to responsible
+disclosure practices by allowing us a reasonable amount of time to investigate and address the issue
+before making any information public.
+
+## Reporting Non-SDK Related Security Issues
+
+If you encounter security issues that are not directly related to SDKs but pertain to the services
+or products provided by Honcho please follow the respective company's security reporting guidelines.
+
+### Honcho Terms and Policies
+
+Please contact hello@plasticlabs.ai for any questions or concerns regarding security of our services.
+
+---
+
+Thank you for helping us keep the SDKs and systems they interact with secure.

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "honcho-ai"
-version = "0.0.1-alpha.0"
+version = "0.0.8-alpha.1"
 description = "The official Python library for the honcho API"
 dynamic = ["readme"]
 license = "Apache-2.0"

requirements-dev.lock

@@ -59,9 +59,9 @@ pluggy==1.3.0
     # via pytest
 py==1.11.0
     # via pytest
-pydantic==2.4.2
+pydantic==2.7.1
     # via honcho-ai
-pydantic-core==2.10.1
+pydantic-core==2.18.2
     # via pydantic
 pyright==1.1.359
 pytest==7.1.1

requirements.lock

@@ -29,9 +29,9 @@ httpx==0.25.2
 idna==3.4
     # via anyio
     # via httpx
-pydantic==2.4.2
+pydantic==2.7.1
     # via honcho-ai
-pydantic-core==2.10.1
+pydantic-core==2.18.2
     # via pydantic
 sniffio==1.3.0
     # via anyio

scripts/format

@@ -4,5 +4,5 @@ set -e
 
 cd "$(dirname "$0")/.."
 
+echo "==> Running formatters"
 rye run format
-

scripts/lint

@@ -4,5 +4,9 @@ set -e
 
 cd "$(dirname "$0")/.."
 
+echo "==> Running lints"
 rye run lint
 
+echo "==> Making sure it imports"
+rye run python -c 'import honcho'
+

scripts/test

@@ -52,6 +52,5 @@ else
   echo
 fi
 
-# Run tests
 echo "==> Running tests"
 rye run pytest "$@"

src/honcho/_models.py

@@ -62,7 +62,7 @@
 from ._constants import RAW_RESPONSE_HEADER
 
 if TYPE_CHECKING:
-    from pydantic_core.core_schema import ModelField, ModelFieldsSchema
+    from pydantic_core.core_schema import ModelField, LiteralSchema, ModelFieldsSchema
 
 __all__ = ["BaseModel", "GenericModel"]
 
@@ -251,7 +251,9 @@ def model_dump(
             exclude_defaults: bool = False,
             exclude_none: bool = False,
             round_trip: bool = False,
-            warnings: bool = True,
+            warnings: bool | Literal["none", "warn", "error"] = True,
+            context: dict[str, Any] | None = None,
+            serialize_as_any: bool = False,
         ) -> dict[str, Any]:
             """Usage docs: https://docs.pydantic.dev/2.4/concepts/serialization/#modelmodel_dump
 
@@ -279,6 +281,10 @@ def model_dump(
                 raise ValueError("round_trip is only supported in Pydantic v2")
             if warnings != True:
                 raise ValueError("warnings is only supported in Pydantic v2")
+            if context is not None:
+                raise ValueError("context is only supported in Pydantic v2")
+            if serialize_as_any != False:
+                raise ValueError("serialize_as_any is only supported in Pydantic v2")
             return super().dict(  # pyright: ignore[reportDeprecated]
                 include=include,
                 exclude=exclude,
@@ -300,7 +306,9 @@ def model_dump_json(
             exclude_defaults: bool = False,
             exclude_none: bool = False,
             round_trip: bool = False,
-            warnings: bool = True,
+            warnings: bool | Literal["none", "warn", "error"] = True,
+            context: dict[str, Any] | None = None,
+            serialize_as_any: bool = False,
         ) -> str:
             """Usage docs: https://docs.pydantic.dev/2.4/concepts/serialization/#modelmodel_dump_json
 
@@ -324,6 +332,10 @@ def model_dump_json(
                 raise ValueError("round_trip is only supported in Pydantic v2")
             if warnings != True:
                 raise ValueError("warnings is only supported in Pydantic v2")
+            if context is not None:
+                raise ValueError("context is only supported in Pydantic v2")
+            if serialize_as_any != False:
+                raise ValueError("serialize_as_any is only supported in Pydantic v2")
             return super().json(  # type: ignore[reportDeprecated]
                 indent=indent,
                 include=include,
@@ -550,7 +562,7 @@ def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any,
                 field_schema = field["schema"]
 
                 if field_schema["type"] == "literal":
-                    for entry in field_schema["expected"]:
+                    for entry in cast("LiteralSchema", field_schema)["expected"]:
                         if isinstance(entry, str):
                             mapping[entry] = variant
             else:

src/honcho/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "honcho"
-__version__ = "0.0.1-alpha.0"  # x-release-please-version
+__version__ = "0.0.8-alpha.1"  # x-release-please-version

tests/test_models.py

@@ -31,7 +31,7 @@ class NestedModel(BaseModel):
 
     # mismatched types
     m = NestedModel.construct(nested="hello!")
-    assert m.nested == "hello!"
+    assert cast(Any, m.nested) == "hello!"
 
 
 def test_optional_nested_model() -> None:
@@ -48,7 +48,7 @@ class NestedModel(BaseModel):
     # mismatched types
     m3 = NestedModel.construct(nested={"foo"})
     assert isinstance(cast(Any, m3.nested), set)
-    assert m3.nested == {"foo"}
+    assert cast(Any, m3.nested) == {"foo"}
 
 
 def test_list_nested_model() -> None:
@@ -323,7 +323,7 @@ class Model(BaseModel):
     assert len(m.items) == 2
     assert isinstance(m.items[0], Submodel1)
     assert m.items[0].level == -1
-    assert m.items[1] == 156
+    assert cast(Any, m.items[1]) == 156
 
 
 def test_union_of_lists() -> None:
@@ -355,7 +355,7 @@ class Model(BaseModel):
     assert len(m.items) == 2
     assert isinstance(m.items[0], SubModel1)
     assert m.items[0].level == -1
-    assert m.items[1] == 156
+    assert cast(Any, m.items[1]) == 156
 
 
 def test_dict_of_union() -> None:

tests/test_transform.py

@@ -260,20 +260,22 @@ class MyModel(BaseModel):
 @parametrize
 @pytest.mark.asyncio
 async def test_pydantic_model_to_dictionary(use_async: bool) -> None:
-    assert await transform(MyModel(foo="hi!"), Any, use_async) == {"foo": "hi!"}
-    assert await transform(MyModel.construct(foo="hi!"), Any, use_async) == {"foo": "hi!"}
+    assert cast(Any, await transform(MyModel(foo="hi!"), Any, use_async)) == {"foo": "hi!"}
+    assert cast(Any, await transform(MyModel.construct(foo="hi!"), Any, use_async)) == {"foo": "hi!"}
 
 
 @parametrize
 @pytest.mark.asyncio
 async def test_pydantic_empty_model(use_async: bool) -> None:
-    assert await transform(MyModel.construct(), Any, use_async) == {}
+    assert cast(Any, await transform(MyModel.construct(), Any, use_async)) == {}
 
 
 @parametrize
 @pytest.mark.asyncio
 async def test_pydantic_unknown_field(use_async: bool) -> None:
-    assert await transform(MyModel.construct(my_untyped_field=True), Any, use_async) == {"my_untyped_field": True}
+    assert cast(Any, await transform(MyModel.construct(my_untyped_field=True), Any, use_async)) == {
+        "my_untyped_field": True
+    }
 
 
 @parametrize
@@ -285,7 +287,7 @@ async def test_pydantic_mismatched_types(use_async: bool) -> None:
             params = await transform(model, Any, use_async)
     else:
         params = await transform(model, Any, use_async)
-    assert params == {"foo": True}
+    assert cast(Any, params) == {"foo": True}
 
 
 @parametrize
@@ -297,7 +299,7 @@ async def test_pydantic_mismatched_object_type(use_async: bool) -> None:
             params = await transform(model, Any, use_async)
     else:
         params = await transform(model, Any, use_async)
-    assert params == {"foo": {"hello": "world"}}
+    assert cast(Any, params) == {"foo": {"hello": "world"}}
 
 
 class ModelNestedObjects(BaseModel):
@@ -309,7 +311,7 @@ class ModelNestedObjects(BaseModel):
 async def test_pydantic_nested_objects(use_async: bool) -> None:
     model = ModelNestedObjects.construct(nested={"foo": "stainless"})
     assert isinstance(model.nested, MyModel)
-    assert await transform(model, Any, use_async) == {"nested": {"foo": "stainless"}}
+    assert cast(Any, await transform(model, Any, use_async)) == {"nested": {"foo": "stainless"}}
 
 
 class ModelWithDefaultField(BaseModel):
@@ -325,19 +327,19 @@ async def test_pydantic_default_field(use_async: bool) -> None:
     model = ModelWithDefaultField.construct()
     assert model.with_none_default is None
     assert model.with_str_default == "foo"
-    assert await transform(model, Any, use_async) == {}
+    assert cast(Any, await transform(model, Any, use_async)) == {}
 
     # should be included when the default value is explicitly given
     model = ModelWithDefaultField.construct(with_none_default=None, with_str_default="foo")
     assert model.with_none_default is None
     assert model.with_str_default == "foo"
-    assert await transform(model, Any, use_async) == {"with_none_default": None, "with_str_default": "foo"}
+    assert cast(Any, await transform(model, Any, use_async)) == {"with_none_default": None, "with_str_default": "foo"}
 
     # should be included when a non-default value is explicitly given
     model = ModelWithDefaultField.construct(with_none_default="bar", with_str_default="baz")
     assert model.with_none_default == "bar"
     assert model.with_str_default == "baz"
-    assert await transform(model, Any, use_async) == {"with_none_default": "bar", "with_str_default": "baz"}
+    assert cast(Any, await transform(model, Any, use_async)) == {"with_none_default": "bar", "with_str_default": "baz"}
 
 
 class TypedDictIterableUnion(TypedDict):