From cbeaad0a2575adbbf9f078ddf453c339521b6a0a Mon Sep 17 00:00:00 2001 From: Mark Daoust Date: Wed, 5 Aug 2026 21:48:45 -0700 Subject: [PATCH 01/19] chore: update test recordings PiperOrigin-RevId: 960054249 --- CHANGELOG.md | 21 --- google/genai/_replay_api_client.py | 16 +- .../genai/tests/models/test_upscale_image.py | 163 ------------------ google/genai/tests/shared/__init__.py | 2 +- .../tests/shared/models/test_upscale_image.py | 54 ------ google/genai/version.py | 2 +- pyproject.toml | 2 +- 7 files changed, 13 insertions(+), 247 deletions(-) delete mode 100644 google/genai/tests/models/test_upscale_image.py delete mode 100644 google/genai/tests/shared/models/test_upscale_image.py diff --git a/CHANGELOG.md b/CHANGELOG.md index bb0d8ea2d..c52a0d3a8 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,26 +1,5 @@ # Changelog -## [2.17.0](https://github.com/googleapis/python-genai/compare/v2.16.0...v2.17.0) (2026-08-06) - - -### Features - -* Add the Gemini Robotics ER 2 Preview model ([61d4645](https://github.com/googleapis/python-genai/commit/61d4645c6f7acab5fdc1dd6a4f6943fe8c937347)) -* Add TOO_MANY_TOOL_CALLS to FinishReason enum. ([a8ec86e](https://github.com/googleapis/python-genai/commit/a8ec86eab28c2806205fc8ec746b492110113c44)) -* Add top-level errors array to Interaction resource (iAPI) ([c74505b](https://github.com/googleapis/python-genai/commit/c74505b03f53e5bf54b0aed5741267f00703d218)) - - -### Bug Fixes - -* Add propertyOrdering auto-population for ResponseSchema and ResponseJsonSchema for Dotnet SDK ([3ec2081](https://github.com/googleapis/python-genai/commit/3ec20812f4e6228bfa8dc766167ede2e1f925526)) - - -### Documentation - -* Fix interactions ([80d80ff](https://github.com/googleapis/python-genai/commit/80d80ffb98e95b0c62590e5593df47c74ee6e0b7)) -* Regenerate docs for 2.16.0 ([f03ecfd](https://github.com/googleapis/python-genai/commit/f03ecfd7734e08b60d7ea5f2123152ff1b6bdfbf)) -* Update GenerateVideos docstrings and samples ([c41ba11](https://github.com/googleapis/python-genai/commit/c41ba1163f4bc7cb90d913674d1ba481d18d1248)) - ## [2.16.0](https://github.com/googleapis/python-genai/compare/v2.15.0...v2.16.0) (2026-07-29) diff --git a/google/genai/_replay_api_client.py b/google/genai/_replay_api_client.py index d56dedf15..efb29151d 100644 --- a/google/genai/_replay_api_client.py +++ b/google/genai/_replay_api_client.py @@ -111,13 +111,17 @@ def _redact_request_headers(headers: dict[str, str]) -> dict[str, str]: if header_name.lower() == 'x-goog-api-key': redacted_headers[header_name] = '{REDACTED}' elif header_name.lower() == 'user-agent': - redacted_headers[header_name] = _redact_language_label( - _redact_version_numbers(header_value) - ).replace('agentplatform-genai-modules', 'vertex-genai-modules') + redacted_headers[header_name] = ( + _redact_language_label(_redact_version_numbers(header_value)) + .replace('agentplatform-genai-modules', 'vertex-genai-modules') + .replace('+nonsource', '') + ) elif header_name.lower() == 'x-goog-api-client': - redacted_headers[header_name] = _redact_language_label( - _redact_version_numbers(header_value) - ).replace('agentplatform-genai-modules', 'vertex-genai-modules') + redacted_headers[header_name] = ( + _redact_language_label(_redact_version_numbers(header_value)) + .replace('agentplatform-genai-modules', 'vertex-genai-modules') + .replace('+nonsource', '') + ) elif header_name.lower() == 'x-goog-user-project': continue elif header_name.lower() == 'authorization': diff --git a/google/genai/tests/models/test_upscale_image.py b/google/genai/tests/models/test_upscale_image.py deleted file mode 100644 index cf9c9e4b7..000000000 --- a/google/genai/tests/models/test_upscale_image.py +++ /dev/null @@ -1,163 +0,0 @@ -# Copyright 2025 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - - -"""Tests for upscale_image.""" - -import os - -from pydantic import ValidationError -import pytest - -from ... import types -from .. import pytest_helper - -IMAGEN_MODEL_LATEST = 'imagen-4.0-upscale-preview' - -IMAGE_FILE_PATH = os.path.abspath( - os.path.join(os.path.dirname(__file__), '../data/bridge1.png') -) - -test_table: list[pytest_helper.TestTableItem] = [ - pytest_helper.TestTableItem( - name='test_upscale_no_config', - exception_if_mldev=( - 'only supported in Gemini Enterprise Agent Platform' - ), - parameters=types.UpscaleImageParameters( - model=IMAGEN_MODEL_LATEST, - image=types.Image.from_file(location=IMAGE_FILE_PATH), - upscale_factor='x2', - ), - ), - pytest_helper.TestTableItem( - name='test_upscale', - exception_if_mldev=( - 'only supported in Gemini Enterprise Agent Platform' - ), - parameters=types.UpscaleImageParameters( - model=IMAGEN_MODEL_LATEST, - image=types.Image.from_file(location=IMAGE_FILE_PATH), - upscale_factor='x2', - config=types.UpscaleImageConfig( - include_rai_reason=True, - person_generation=types.PersonGeneration.ALLOW_ADULT, - safety_filter_level=types.SafetyFilterLevel.BLOCK_LOW_AND_ABOVE, - output_mime_type='image/jpeg', - output_compression_quality=80, - enhance_input_image=True, - image_preservation_factor=0.6, - labels={'imagen_label_key': 'upscale_image'} - ), - ), - ), - pytest_helper.TestTableItem( - name='test_upscale_gcs', - exception_if_mldev=( - 'only supported in Gemini Enterprise Agent Platform' - ), - parameters=types.UpscaleImageParameters( - model=IMAGEN_MODEL_LATEST, - image=types.Image.from_file(location=IMAGE_FILE_PATH), - upscale_factor='x2', - config=types.UpscaleImageConfig( - output_gcs_uri='gs://genai-sdk-tests/temp/images/', - ), - ), - ), -] -pytestmark = pytest_helper.setup( - file=__file__, - globals_for_file=globals(), - test_method='models.upscale_image', - test_table=test_table, -) - - -def test_upscale_extra_config_parameters(client): - # MLDev currently does not support upscale_image, but the ValidationError - # occurs before the ValueError. - try: - # User is not allowed to set mode or number_of_images - client.models.upscale_image( - model=IMAGEN_MODEL_LATEST, - image=types.Image.from_file(location=IMAGE_FILE_PATH), - upscale_factor='x2', - config={ - 'mode': 'upscale', - 'number_of_images': 1, - } - ) - # Should never reach this. - assert False - except Exception as e: - assert isinstance(e, ValidationError) - assert 'Extra inputs are not permitted' in str(e) - - -@pytest.mark.asyncio -async def test_upscale_async(client): - with pytest_helper.exception_if_mldev(client, ValueError): - response = await client.aio.models.upscale_image( - model=IMAGEN_MODEL_LATEST, - image=types.Image.from_file(location=IMAGE_FILE_PATH), - upscale_factor='x2', - config=types.UpscaleImageConfig( - person_generation=types.PersonGeneration.ALLOW_ADULT, - safety_filter_level=types.SafetyFilterLevel.BLOCK_LOW_AND_ABOVE, - include_rai_reason=True, - output_mime_type='image/jpeg', - output_compression_quality=80, - enhance_input_image=True, - image_preservation_factor=0.6, - ), - ) - assert response.generated_images[0].image.image_bytes - - -@pytest.mark.asyncio -async def test_upscale_gcs_async(client): - with pytest_helper.exception_if_mldev(client, ValueError): - response = await client.aio.models.upscale_image( - model=IMAGEN_MODEL_LATEST, - image=types.Image.from_file(location=IMAGE_FILE_PATH), - upscale_factor='x2', - config=types.UpscaleImageConfig( - output_gcs_uri='gs://genai-sdk-tests/temp/images/', - ), - ) - assert response.generated_images[0].image.gcs_uri - - -@pytest.mark.asyncio -async def test_upscale_extra_config_parameters_async(client): - # MLDev currently does not support upscale_image, but the ValidationError - # occurs before the ValueError. - try: - # User is not allowed to set mode or number_of_images - await client.aio.models.upscale_image( - model=IMAGEN_MODEL_LATEST, - image=types.Image.from_file(location=IMAGE_FILE_PATH), - upscale_factor='x2', - config={ - 'mode': 'upscale', - 'number_of_images': 1, - }, - ) - # Should never reach this. - assert False - except Exception as e: - assert isinstance(e, ValidationError) - assert 'Extra inputs are not permitted' in str(e) diff --git a/google/genai/tests/shared/__init__.py b/google/genai/tests/shared/__init__.py index 880bf22d8..991599436 100644 --- a/google/genai/tests/shared/__init__.py +++ b/google/genai/tests/shared/__init__.py @@ -13,4 +13,4 @@ # limitations under the License. # -GEMINI_MODEL = 'gemini-3.1-pro-preview' # Gemini only +GEMINI_MODEL = 'gemini-3.5-flash' # Gemini only diff --git a/google/genai/tests/shared/models/test_upscale_image.py b/google/genai/tests/shared/models/test_upscale_image.py deleted file mode 100644 index 676254d4e..000000000 --- a/google/genai/tests/shared/models/test_upscale_image.py +++ /dev/null @@ -1,54 +0,0 @@ -# Copyright 2025 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -"""Tests for upscale_image.""" - -import os - -from .... import types -from ... import pytest_helper - -IMAGEN_MODEL_LATEST = 'imagen-4.0-upscale-preview' - -IMAGE_FILE_PATH = os.path.abspath( - os.path.join(os.path.dirname(__file__), '../../data/bridge1.png') -) - -test_table: list[pytest_helper.TestTableItem] = [ - pytest_helper.TestTableItem( - name='test_upscale', - exception_if_mldev=( - 'only supported in Gemini Enterprise Agent Platform' - ), - parameters=types.UpscaleImageParameters( - model=IMAGEN_MODEL_LATEST, - image=types.Image.from_file(location=IMAGE_FILE_PATH), - upscale_factor='x2', - config=types.UpscaleImageConfig( - include_rai_reason=True, - output_mime_type='image/jpeg', - output_compression_quality=80, - enhance_input_image=True, - image_preservation_factor=0.6, - ), - ), - ), -] -pytestmark = pytest_helper.setup( - file=__file__, - globals_for_file=globals(), - test_method='models.upscale_image', - test_table=test_table, -) diff --git a/google/genai/version.py b/google/genai/version.py index 602b199e4..18772144c 100644 --- a/google/genai/version.py +++ b/google/genai/version.py @@ -13,4 +13,4 @@ # limitations under the License. # -__version__ = '2.17.0' # x-release-please-version +__version__ = '2.16.0' # x-release-please-version diff --git a/pyproject.toml b/pyproject.toml index b58055fa4..b07c2d44a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,7 +3,7 @@ requires = ["setuptools", "wheel", "twine>=6.1.0", "packaging>=24.2", "pkginfo>= [project] name = "google-genai" -version = "2.17.0" +version = "2.16.0" description = "GenAI Python SDK" readme = "README.md" license = "Apache-2.0" From 5413fdc7c5471d3e85b2d1e0ffb7873d059e4ea8 Mon Sep 17 00:00:00 2001 From: Google Team Member Date: Thu, 6 Aug 2026 07:27:03 -0700 Subject: [PATCH 02/19] chore: update generation PiperOrigin-RevId: 960288547 --- .../genai/_gaos/types/interactions/audiocontent.py | 12 ++++++------ .../_gaos/types/interactions/documentcontent.py | 12 ++++++------ .../genai/_gaos/types/interactions/imagecontent.py | 12 ++++++------ .../genai/_gaos/types/interactions/videocontent.py | 12 ++++++------ 4 files changed, 24 insertions(+), 24 deletions(-) diff --git a/google/genai/_gaos/types/interactions/audiocontent.py b/google/genai/_gaos/types/interactions/audiocontent.py index 7372325d5..262073c13 100644 --- a/google/genai/_gaos/types/interactions/audiocontent.py +++ b/google/genai/_gaos/types/interactions/audiocontent.py @@ -59,13 +59,13 @@ class AudioContentParam(TypedDict): r"""The number of audio channels.""" data: NotRequired[Union[str, Base64FileInput]] r"""The audio content.""" - mime_type: NotRequired[AudioContentMimeType] - r"""The mime type of the audio.""" sample_rate: NotRequired[int] r"""The sample rate of the audio.""" type: Literal["audio"] uri: NotRequired[str] r"""The URI of the audio.""" + mime_type: NotRequired[AudioContentMimeType] + r"""The mime type of the audio.""" class AudioContent(BaseModel): @@ -77,9 +77,6 @@ class AudioContent(BaseModel): data: Optional[Base64EncodedString] = None r"""The audio content.""" - mime_type: Optional[AudioContentMimeType] = None - r"""The mime type of the audio.""" - sample_rate: Optional[int] = None r"""The sample rate of the audio.""" @@ -91,9 +88,12 @@ class AudioContent(BaseModel): uri: Optional[str] = None r"""The URI of the audio.""" + mime_type: Optional[AudioContentMimeType] = None + r"""The mime type of the audio.""" + @model_serializer(mode="wrap") def serialize_model(self, handler): - optional_fields = set(["channels", "data", "mime_type", "sample_rate", "uri"]) + optional_fields = set(["channels", "data", "sample_rate", "uri", "mime_type"]) serialized = handler(self) m = {} diff --git a/google/genai/_gaos/types/interactions/documentcontent.py b/google/genai/_gaos/types/interactions/documentcontent.py index 91b4fbef2..b6bba257b 100644 --- a/google/genai/_gaos/types/interactions/documentcontent.py +++ b/google/genai/_gaos/types/interactions/documentcontent.py @@ -47,11 +47,11 @@ class DocumentContentParam(TypedDict): data: NotRequired[Union[str, Base64FileInput]] r"""The document content.""" - mime_type: NotRequired[DocumentContentMimeType] - r"""The mime type of the document.""" type: Literal["document"] uri: NotRequired[str] r"""The URI of the document.""" + mime_type: NotRequired[DocumentContentMimeType] + r"""The mime type of the document.""" class DocumentContent(BaseModel): @@ -60,9 +60,6 @@ class DocumentContent(BaseModel): data: Optional[Base64EncodedString] = None r"""The document content.""" - mime_type: Optional[DocumentContentMimeType] = None - r"""The mime type of the document.""" - type: Annotated[ Annotated[Literal["document"], AfterValidator(validate_const("document"))], pydantic.Field(alias="type"), @@ -71,9 +68,12 @@ class DocumentContent(BaseModel): uri: Optional[str] = None r"""The URI of the document.""" + mime_type: Optional[DocumentContentMimeType] = None + r"""The mime type of the document.""" + @model_serializer(mode="wrap") def serialize_model(self, handler): - optional_fields = set(["data", "mime_type", "uri"]) + optional_fields = set(["data", "uri", "mime_type"]) serialized = handler(self) m = {} diff --git a/google/genai/_gaos/types/interactions/imagecontent.py b/google/genai/_gaos/types/interactions/imagecontent.py index 2e40535ac..15aa7bea6 100644 --- a/google/genai/_gaos/types/interactions/imagecontent.py +++ b/google/genai/_gaos/types/interactions/imagecontent.py @@ -54,12 +54,12 @@ class ImageContentParam(TypedDict): data: NotRequired[Union[str, Base64FileInput]] r"""The image content.""" - mime_type: NotRequired[ImageContentMimeType] - r"""The mime type of the image.""" resolution: NotRequired[MediaResolution] type: Literal["image"] uri: NotRequired[str] r"""The URI of the image.""" + mime_type: NotRequired[ImageContentMimeType] + r"""The mime type of the image.""" class ImageContent(BaseModel): @@ -68,9 +68,6 @@ class ImageContent(BaseModel): data: Optional[Base64EncodedString] = None r"""The image content.""" - mime_type: Optional[ImageContentMimeType] = None - r"""The mime type of the image.""" - resolution: Optional[MediaResolution] = None type: Annotated[ @@ -81,9 +78,12 @@ class ImageContent(BaseModel): uri: Optional[str] = None r"""The URI of the image.""" + mime_type: Optional[ImageContentMimeType] = None + r"""The mime type of the image.""" + @model_serializer(mode="wrap") def serialize_model(self, handler): - optional_fields = set(["data", "mime_type", "resolution", "uri"]) + optional_fields = set(["data", "resolution", "uri", "mime_type"]) serialized = handler(self) m = {} diff --git a/google/genai/_gaos/types/interactions/videocontent.py b/google/genai/_gaos/types/interactions/videocontent.py index f2a4edae6..1826789a1 100644 --- a/google/genai/_gaos/types/interactions/videocontent.py +++ b/google/genai/_gaos/types/interactions/videocontent.py @@ -55,12 +55,12 @@ class VideoContentParam(TypedDict): data: NotRequired[Union[str, Base64FileInput]] r"""The video content.""" - mime_type: NotRequired[VideoContentMimeType] - r"""The mime type of the video.""" resolution: NotRequired[MediaResolution] type: Literal["video"] uri: NotRequired[str] r"""The URI of the video.""" + mime_type: NotRequired[VideoContentMimeType] + r"""The mime type of the video.""" class VideoContent(BaseModel): @@ -69,9 +69,6 @@ class VideoContent(BaseModel): data: Optional[Base64EncodedString] = None r"""The video content.""" - mime_type: Optional[VideoContentMimeType] = None - r"""The mime type of the video.""" - resolution: Optional[MediaResolution] = None type: Annotated[ @@ -82,9 +79,12 @@ class VideoContent(BaseModel): uri: Optional[str] = None r"""The URI of the video.""" + mime_type: Optional[VideoContentMimeType] = None + r"""The mime type of the video.""" + @model_serializer(mode="wrap") def serialize_model(self, handler): - optional_fields = set(["data", "mime_type", "resolution", "uri"]) + optional_fields = set(["data", "resolution", "uri", "mime_type"]) serialized = handler(self) m = {} From 35727d65c3cd9f5533b007e06d3b8b3448a9490e Mon Sep 17 00:00:00 2001 From: Mark Daoust Date: Thu, 6 Aug 2026 19:30:30 -0700 Subject: [PATCH 03/19] chore: refresh docs PiperOrigin-RevId: 960639532 --- docs/genai.html | 12 ++++++++++++ docs/genindex.html | 2 ++ docs/index.html | 1 + docs/modules.html | 1 + docs/objects.inv | Bin 30741 -> 30755 bytes docs/searchindex.js | 2 +- 6 files changed, 17 insertions(+), 1 deletion(-) diff --git a/docs/genai.html b/docs/genai.html index 7ca320101..6ff7c224f 100644 --- a/docs/genai.html +++ b/docs/genai.html @@ -11115,6 +11115,7 @@

GAOS Client Resources "MALFORMED_FUNCTION_CALL", "IMAGE_SAFETY", "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", "IMAGE_PROHIBITED_CONTENT", "NO_IMAGE", "IMAGE_RECITATION", @@ -15260,6 +15261,7 @@

GAOS Client Resources "MALFORMED_FUNCTION_CALL", "IMAGE_SAFETY", "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", "IMAGE_PROHIBITED_CONTENT", "NO_IMAGE", "IMAGE_RECITATION", @@ -20839,6 +20841,7 @@

GAOS Client Resources "MALFORMED_FUNCTION_CALL", "IMAGE_SAFETY", "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", "IMAGE_PROHIBITED_CONTENT", "NO_IMAGE", "IMAGE_RECITATION", @@ -38625,6 +38628,7 @@

GAOS Client Resources "MALFORMED_FUNCTION_CALL", "IMAGE_SAFETY", "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", "IMAGE_PROHIBITED_CONTENT", "NO_IMAGE", "IMAGE_RECITATION", @@ -75280,6 +75284,12 @@

GAOS Client Resources

Token generation reached a natural stopping point or a configured stop sequence.

+
+
+TOO_MANY_TOOL_CALLS = 'TOO_MANY_TOOL_CALLS'
+

Model called too many tools consecutively, thus the system exited execution.

+
+
UNEXPECTED_TOOL_CALL = 'UNEXPECTED_TOOL_CALL'
@@ -85164,6 +85174,7 @@

GAOS Client Resources "MALFORMED_FUNCTION_CALL", "IMAGE_SAFETY", "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", "IMAGE_PROHIBITED_CONTENT", "NO_IMAGE", "IMAGE_RECITATION", @@ -107236,6 +107247,7 @@

GAOS Client Resources "MALFORMED_FUNCTION_CALL", "IMAGE_SAFETY", "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", "IMAGE_PROHIBITED_CONTENT", "NO_IMAGE", "IMAGE_RECITATION", diff --git a/docs/genindex.html b/docs/genindex.html index 6ae14069d..2bcfb8e2e 100644 --- a/docs/genindex.html +++ b/docs/genindex.html @@ -9434,6 +9434,8 @@

T

  • TokensInfoDict (class in genai.types) +
    • +
  • TOO_MANY_TOOL_CALLS (genai.types.FinishReason attribute)
  • tool_call (genai.types.LiveServerMessage attribute) diff --git a/docs/index.html b/docs/index.html index aecf86e5a..d431dbabb 100644 --- a/docs/index.html +++ b/docs/index.html @@ -4037,6 +4037,7 @@

    ReferenceFinishReason.SAFETY

  • FinishReason.SPII
  • FinishReason.STOP
    • +
  • FinishReason.TOO_MANY_TOOL_CALLS
  • FinishReason.UNEXPECTED_TOOL_CALL
    • diff --git a/docs/modules.html b/docs/modules.html index cba9c0ddb..daff01d1c 100644 --- a/docs/modules.html +++ b/docs/modules.html @@ -2281,6 +2281,7 @@

    googleFinishReason.SAFETY
  • FinishReason.SPII
  • FinishReason.STOP
    • +
  • FinishReason.TOO_MANY_TOOL_CALLS
  • FinishReason.UNEXPECTED_TOOL_CALL
    • diff --git a/docs/objects.inv b/docs/objects.inv index 80808b2b0e7444c13501f66ae98809e061e80905..8da96a10f6019fcd3f77456e8311fddf72835427 100644 GIT binary patch delta 21185 zcmV)AK*Yb5@ByRn0kHife|EQCdyli#FKGqqWo1feOL$(ne@XA58l!_jSY;GRp4e3{ z^L3t<*4&*NJr7&4ezg(=TvjSz`XM~zU)?=syr=U?Z36v1upEbI8$ z0byx90Q@kdCXQOW=mTV97oi_{(m7e+V;xpUE_&p|k0s z{ID&s9HS`^AlcoJ2P|w5NB$-G5J7kF9JxepWn-RLu#@s46aMM^k$d^Csx|6`4VE&H z)~(53&?cp&G0&fjgTB`#r3gTV-BEc*216X*;mn?QYZegUd6seLYQ1t7#VvGU ztD)Tr*;1A#6#x#Ue}`~h#L<5b5eIuLtU%=ZEKD)idThAYOx->8PC_|}ZLIrsr zVR7`-IqIbQQY@GfGxRx>So;#q`&*@T&-X`h@;S)ZTjZBm%-@I@6$a8;m%w+Z-dpi4%vOvYN;O_aP)tw%8&)B#B=h;l^12E?CVw9pXFd?@Zf&oPa1 zklWc~Jk%k&0gRv@{3Kl?5Vg@w)^jR^FkI*fQ#IE?AyL;3S{V9Z^9YBv&(jY+j{(^n z3Fct*1q7EPe;^;6zQp5jE>E&sQf*E#>dJA9ST#)rPu+PIOw@G7G#W=k>eRJtbt714 zE3PY>(DJ?1yj0v)bE$~RodM2bwR1O{=cgUZ_c+`6gM0hDT&(Vii$yl}VhP+^9cTS~ za97^q7L*_HexKipT#i1dwIW@*O=%=MjF)EOH3Z*Xf7W>bOE(4WA2VGmxD?=>pgLNg zBdQNh!>!45rB1Do z**_MSBIjEy#O$W91}dN#WxS9ws;oadV`FNfSW?=q5}J+ngEm!o9Bm>2RJ 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\ No newline at end of file From e1f7c40f0a831f25ee71294fc8c195576d5fd126 Mon Sep 17 00:00:00 2001 From: Google Team Member Date: Thu, 6 Aug 2026 21:38:10 -0700 Subject: [PATCH 04/19] feat(api): make the deferred service tier publicly available on Vertex PiperOrigin-RevId: 960685753 --- google/genai/_gaos/types/interactions/servicetier.py | 1 + 1 file changed, 1 insertion(+) diff --git a/google/genai/_gaos/types/interactions/servicetier.py b/google/genai/_gaos/types/interactions/servicetier.py index 97d60f87e..426635343 100644 --- a/google/genai/_gaos/types/interactions/servicetier.py +++ b/google/genai/_gaos/types/interactions/servicetier.py @@ -26,6 +26,7 @@ "flex", "standard", "priority", + "deferred", ], UnrecognizedStr, ] From 62d50d6f172da5d6efa30838ab92da95b1327b5e Mon Sep 17 00:00:00 2001 From: Yvonne Yu Date: Fri, 7 Aug 2026 10:41:56 -0700 Subject: [PATCH 05/19] feat: enable json schema in FunctionDeclaration parser PiperOrigin-RevId: 961007695 --- .../genai/_automatic_function_calling_util.py | 126 +++++++++++++++++- google/genai/_transformers.py | 2 +- google/genai/tests/live/test_live.py | 9 +- .../models/test_generate_content_tools.py | 67 +++++----- .../genai/tests/transformers/test_t_tool.py | 15 ++- .../genai/tests/transformers/test_t_tools.py | 15 ++- google/genai/types.py | 39 ++++-- 7 files changed, 208 insertions(+), 65 deletions(-) diff --git a/google/genai/_automatic_function_calling_util.py b/google/genai/_automatic_function_calling_util.py index ec7f9a702..d8de1a940 100644 --- a/google/genai/_automatic_function_calling_util.py +++ b/google/genai/_automatic_function_calling_util.py @@ -40,6 +40,8 @@ '_is_default_value_compatible', '_parse_schema_from_parameter', '_get_required_fields', + '_get_required_fields_from_json_schema', + 'parse_function_declaration_json_schema', ] _py_builtin_type_to_schema_type = { @@ -138,7 +140,7 @@ def _is_default_value_compatible( def _parse_schema_from_parameter( # type: ignore[return] - api_option: Literal['VERTEX_AI', 'GEMINI_API'], + api_option: Literal['ENTERPRISE', 'GEMINI_API', 'VERTEX_AI'], param: inspect.Parameter, func_name: str, ) -> types.Schema: @@ -323,3 +325,125 @@ def _get_required_fields(schema: types.Schema) -> Optional[list[str]]: for field_name, field_schema in schema.properties.items() if not field_schema.nullable and field_schema.default is None ] + + +def _get_required_fields_from_json_schema(json_schema: dict[str, Any]) -> Optional[list[str]]: + properties = json_schema.get('properties', {}) + if not properties: + return None + required_fields = [] + for field_name, field_schema in properties.items(): + if not field_schema: + continue + if 'nullable' in field_schema and not field_schema['nullable']: + required_fields.append(field_name) + if 'default' not in field_schema and field_name not in required_fields: + required_fields.append(field_name) + return required_fields + + +def parse_function_declaration_json_schema( + callable: Callable[..., Any], + behavior: Optional[types.Behavior] + ) -> types.FunctionDeclaration: + """Parse function declaration JSON schema from a callable.""" + annotation_under_future = typing.get_type_hints(callable) + parameters_properties_json_schema = {} + root_defs = {} + + for name, param in inspect.signature(callable).parameters.items(): + if param.kind in ( + inspect.Parameter.POSITIONAL_OR_KEYWORD, + inspect.Parameter.KEYWORD_ONLY, + inspect.Parameter.POSITIONAL_ONLY, + ): + try: + param = _handle_params_as_deferred_annotations( + param, annotation_under_future, name + ) + json_schema_dict = {} + if _extra_utils.is_annotation_pydantic_model(param.annotation): + json_schema_dict = param.annotation.model_json_schema() + else: + param_schema_adapter = pydantic.TypeAdapter( + param.annotation, + config=pydantic.ConfigDict(arbitrary_types_allowed=True), + ) + json_schema_dict = param_schema_adapter.json_schema() + json_schema_dict = _add_unevaluated_items_to_fixed_len_tuple_schema( + json_schema_dict + ) + + # Extract parameter-level $defs and promote to top-level root_defs + if '$defs' in json_schema_dict: + root_defs.update(json_schema_dict.pop('$defs')) + if 'definitions' in json_schema_dict: + root_defs.update(json_schema_dict.pop('definitions')) + # pydantic doesn't assign the `type` field when the schema has 'anyOf'. + # but Vertex requires it. + if not 'type' in json_schema_dict and 'anyOf' in json_schema_dict: + json_schema_dict['type'] = 'object' + if param.default is not inspect._empty: + json_schema_dict['default'] = param.default + parameters_properties_json_schema[name] = json_schema_dict + except Exception as e: + _raise_for_unsupported_param( + param, callable.__name__, e + ) + + declaration = types.FunctionDeclaration( + name=callable.__name__, + description=inspect.cleandoc(callable.__doc__) + if callable.__doc__ + else '', + behavior=behavior, + ) + if parameters_properties_json_schema: + declaration.parameters_json_schema = { + 'type': 'object', + 'properties': parameters_properties_json_schema, + } + if root_defs: + declaration.parameters_json_schema['$defs'] = root_defs + declaration.parameters_json_schema['required'] = ( + _get_required_fields_from_json_schema( + declaration.parameters_json_schema + ) + ) + return_annotation = inspect.signature(callable).return_annotation + if return_annotation is inspect.Parameter.empty: + return declaration + + return_value = inspect.Parameter( + 'return_value', + inspect.Parameter.POSITIONAL_OR_KEYWORD, + annotation=return_annotation, + ) + # This snippet catches the case when type hints are stored as strings + if isinstance(return_value.annotation, str): + return_value = return_value.replace( + annotation=annotation_under_future['return'] + ) + response_json_schema: dict[str, Any] = {} + try: + if _extra_utils.is_annotation_pydantic_model(return_value.annotation): + response_json_schema = return_value.annotation.model_json_schema() + else: + return_value_schema_adapter = pydantic.TypeAdapter( + return_value.annotation, + config=pydantic.ConfigDict(arbitrary_types_allowed=True), + ) + response_json_schema = return_value_schema_adapter.json_schema() + response_json_schema = _add_unevaluated_items_to_fixed_len_tuple_schema( + response_json_schema + ) + # pydantic doesn't assign the `type` field when the schema has 'anyOf'. + # but Vertex requires it. + if 'type' not in response_json_schema and 'anyOf' in response_json_schema: + response_json_schema['type'] = 'object' + except Exception as e: + _raise_for_unsupported_param( + return_value, callable.__name__, e + ) + declaration.response_json_schema = response_json_schema + return declaration diff --git a/google/genai/_transformers.py b/google/genai/_transformers.py index 49868bac1..673964713 100644 --- a/google/genai/_transformers.py +++ b/google/genai/_transformers.py @@ -958,7 +958,7 @@ def t_tool( return types.Tool( function_declarations=[ types.FunctionDeclaration.from_callable( - client=client, callable=origin + client=client, callable=origin, use_json_schema=True ) ] ) diff --git a/google/genai/tests/live/test_live.py b/google/genai/tests/live/test_live.py index 046b08a0a..2a69b61e3 100644 --- a/google/genai/tests/live/test_live.py +++ b/google/genai/tests/live/test_live.py @@ -1133,17 +1133,18 @@ async def test_bidi_setup_to_api_with_config_tools_function_directly( 'model': 'test_model', 'tools': [{ 'functionDeclarations': [{ - 'parameters': { - 'type': 'OBJECT', + 'parameters_json_schema': { + 'type': 'object', 'properties': { 'location': { - 'type': 'STRING', + 'type': 'string', 'description': ( 'The location to get the weather for' ), }, - 'unit': {'type': 'STRING', 'enum': ['C', 'F']}, + 'unit': {'type': 'string', 'enum': ['C', 'F']}, }, + 'required': ['location', 'unit'], }, 'name': 'get_current_weather', 'description': 'Get the current weather in a city.', diff --git a/google/genai/tests/models/test_generate_content_tools.py b/google/genai/tests/models/test_generate_content_tools.py index 40721bbbf..f9f0f30da 100644 --- a/google/genai/tests/models/test_generate_content_tools.py +++ b/google/genai/tests/models/test_generate_content_tools.py @@ -65,6 +65,23 @@ }, }, }] +function_declarations_json_schema = [{ + 'name': 'get_current_weather', + 'description': 'Get the current weather in a city', + 'parameters_json_schema': { + 'type': 'object', + 'properties': { + 'location': { + 'type': 'string', + 'description': 'The location to get the weather for', + }, + 'unit': { + 'type': 'string', + 'enum': ['C', 'F'], + }, + }, + }, +}] computer_use_override_function_declarations = [{ 'name': 'type_text_at', 'description': 'Types text at a certain coordinate.', @@ -949,7 +966,7 @@ def customized_divide_integers(numerator: int, denominator: int) -> int: ) def test_automatic_function_calling(client): response = client.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents='what is the result of 1000/2?', config={ 'tools': [divide_integers], @@ -1398,7 +1415,7 @@ def get_information( return f'The object of interest is {object_of_interest}' response = client.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents=( 'I have a one year old cat named Sundae, can you get the' ' information of the cat for me?' @@ -1422,7 +1439,7 @@ def output_latlng( return f'The latitude is {latlng[0]} and the longitude is {latlng[1]}' response = client.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents=( 'The coordinates are (51.509, -0.118). What is the latitude and longitude?' ), @@ -1461,7 +1478,7 @@ def get_cheese_age(cheese: int) -> int | float: return 0.0 response = client.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents='How old is the cheese with id 2?', config={ 'tools': [get_cheese_age], @@ -1491,7 +1508,7 @@ def describe_cities( ) response = client.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents='Can you describe the city of San Francisco, USA?', config={ 'tools': [describe_cities], @@ -1679,24 +1696,6 @@ def mystery_function(a: int, b: int) -> int: ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC by default is disabled in private models.py', -) -@pytest.mark.asyncio -async def test_automatic_function_calling_async_float_without_decimal(client): - response = await client.aio.models.generate_content( - model='gemini-2.5-flash', - contents='what is the result of 1000.0/2.0?', - config={ - 'tools': [divide_floats, divide_integers], - 'automatic_function_calling': {'ignore_call_history': True}, - }, - ) - - assert '500.0' in response.text - - @pytest.mark.skipif( 'config.getoption("--private")', reason='AFC by default is disabled in private models.py', @@ -1715,7 +1714,7 @@ def get_weather_pydantic_model( return f'The weather in {city_object.city_name} is sunny and 100 degrees.' response = await client.aio.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents='it is winter now, what is the weather in Boston?', config={ 'tools': [get_weather_pydantic_model], @@ -1723,9 +1722,7 @@ def get_weather_pydantic_model( }, ) - # ML Dev couldn't understand pydantic model - if client.vertexai: - assert 'cold' in response.text and 'Boston' in response.text + assert 'cold' in response.text and 'Boston' in response.text @pytest.mark.skipif( @@ -1914,7 +1911,7 @@ def test_class_method_tools(client): function_holder = FunctionHolder() response = client.models.generate_content( - model='gemini-2.0-flash-exp', + model='gemini-3.1-pro-preview', contents=( 'Print the verbatim output of is_a_duck and is_a_rabbit for the' ' number 100.' @@ -1932,7 +1929,7 @@ def test_class_method_tools(client): ) def test_disable_afc_in_any_mode(client): response = client.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents='what is the result of 1000/2?', config=types.GenerateContentConfig( tools=[divide_integers], @@ -1952,7 +1949,7 @@ def test_disable_afc_in_any_mode(client): ) def test_afc_once_in_any_mode(client): response = client.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents='what is the result of 1000/2?', config=types.GenerateContentConfig( tools=[divide_integers], @@ -1992,7 +1989,7 @@ def test_code_execution_tool(client): def test_afc_logs_to_logger_instance(client, caplog): caplog.set_level(logging.DEBUG, logger='google_genai.models') client.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents='what is the result of 1000/2?', config={ 'tools': [divide_integers], @@ -2021,7 +2018,7 @@ def test_suppress_logs_with_sdk_logger(client, caplog): sdk_logger = logging.getLogger('google_genai.models') sdk_logger.setLevel(logging.ERROR) client.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.1-pro-preview', contents='what is the result of 1000/2?', config={ 'tools': [divide_integers], @@ -2075,7 +2072,7 @@ def test_function_declaration_with_callable(client): config={ 'tools': [ divide_integers, - {'function_declarations': function_declarations}, + {'function_declarations': function_declarations_json_schema}, ], }, ) @@ -2089,7 +2086,7 @@ def test_function_declaration_with_callable_stream_now(client): config={ 'tools': [ divide_integers, - {'function_declarations': function_declarations}, + {'function_declarations': function_declarations_json_schema}, ], }, ): @@ -2107,7 +2104,7 @@ async def test_function_declaration_with_callable_async(client): config={ 'tools': [ divide_integers, - {'function_declarations': function_declarations}, + {'function_declarations': function_declarations_json_schema}, ], }, ) diff --git a/google/genai/tests/transformers/test_t_tool.py b/google/genai/tests/transformers/test_t_tool.py index 32d86221b..da1915bb3 100644 --- a/google/genai/tests/transformers/test_t_tool.py +++ b/google/genai/tests/transformers/test_t_tool.py @@ -62,14 +62,15 @@ def test_func(arg1: str, arg2: int): function_declarations=[ types.FunctionDeclaration( name='test_func', - parameters=types.Schema( - type='OBJECT', - properties={ - 'arg1': types.Schema(type='STRING'), - 'arg2': types.Schema(type='INTEGER'), + description='', + parameters_json_schema={ + 'type': 'object', + 'properties': { + 'arg1': {'type': 'string'}, + 'arg2': {'type': 'integer'}, }, - required=['arg1', 'arg2'], - ), + 'required': ['arg1', 'arg2'], + }, ) ] ) diff --git a/google/genai/tests/transformers/test_t_tools.py b/google/genai/tests/transformers/test_t_tools.py index 05d8ce263..9cf4213bf 100644 --- a/google/genai/tests/transformers/test_t_tools.py +++ b/google/genai/tests/transformers/test_t_tools.py @@ -65,14 +65,15 @@ def test_func(arg1: str, arg2: int): function_declarations=[ types.FunctionDeclaration( name='test_func', - parameters=types.Schema( - type='OBJECT', - properties={ - 'arg1': types.Schema(type='STRING'), - 'arg2': types.Schema(type='INTEGER'), + description='', + parameters_json_schema={ + 'type': 'object', + 'properties': { + 'arg1': {'type': 'string'}, + 'arg2': {'type': 'integer'}, }, - required=['arg1', 'arg2'], - ), + 'required': ['arg1', 'arg2'], + } ) ] ) diff --git a/google/genai/types.py b/google/genai/types.py index fdcd187dd..49fb72faf 100644 --- a/google/genai/types.py +++ b/google/genai/types.py @@ -3056,7 +3056,9 @@ def from_json_schema( cls, *, json_schema: 'JSONSchema', - api_option: Literal['VERTEX_AI', 'GEMINI_API'] = 'GEMINI_API', + api_option: Literal['ENTERPRISE', 'GEMINI_API', 'VERTEX_AI'] = ( + 'GEMINI_API' + ), raise_error_on_unsupported_field: bool = False, ) -> 'Schema': """Converts a JSONSchema object to a Schema object. @@ -3217,7 +3219,7 @@ def normalize_json_schema_type( def raise_error_if_cannot_convert( json_schema_dict: dict[str, Any], - api_option: Literal['VERTEX_AI', 'GEMINI_API'], + api_option: Literal['ENTERPRISE', 'GEMINI_API', 'VERTEX_AI'], raise_error_on_unsupported_field: bool, ) -> None: """Raises an error if the JSONSchema cannot be converted to the specified Schema object.""" @@ -3262,7 +3264,7 @@ def copy_schema_fields( def convert_json_schema( current_json_schema: 'JSONSchema', root_json_schema_dict: dict[str, Any], - api_option: Literal['VERTEX_AI', 'GEMINI_API'], + api_option: Literal['ENTERPRISE', 'GEMINI_API', 'VERTEX_AI'], raise_error_on_unsupported_field: bool, visited_refs: Optional[set[str]] = None, ) -> 'Schema': @@ -4770,16 +4772,20 @@ def from_callable_with_api_option( cls, *, callable: Callable[..., Any], - api_option: Literal['VERTEX_AI', 'GEMINI_API'] = 'GEMINI_API', + api_option: Literal[ + 'ENTERPRISE', 'GEMINI_API', 'VERTEX_AI' + ] = 'GEMINI_API', behavior: Optional[Behavior] = None, + use_json_schema: bool = False, ) -> 'FunctionDeclaration': """Converts a Callable to a FunctionDeclaration based on the API option. - Supported API option is 'VERTEX_AI' or 'GEMINI_API'. If api_option is unset, - it will default to 'GEMINI_API'. If unsupported api_option is provided, it - will raise ValueError. + Supported API option is 'ENTERPRISE', 'GEMINI_API' or 'VERTEX_AI'. If + api_option is unset, it will default to 'GEMINI_API'. If unsupported + api_option is provided, it will raise ValueError. + Note: 'VERTEX_AI' is to be deprecated, please use 'ENTERPRISE' instead. """ - supported_api_options = ['VERTEX_AI', 'GEMINI_API'] + supported_api_options = ['ENTERPRISE', 'GEMINI_API', 'VERTEX_AI'] if api_option not in supported_api_options: raise ValueError( f'Unsupported api_option value: {api_option}. Supported api_option' @@ -4787,6 +4793,12 @@ def from_callable_with_api_option( ) from . import _automatic_function_calling_util + if use_json_schema: + return _automatic_function_calling_util.parse_function_declaration_json_schema( + callable=callable, + behavior=behavior, + ) + parameters_properties = {} parameters_json_schema = {} annotation_under_future = typing.get_type_hints(callable) @@ -4937,6 +4949,7 @@ def from_callable( client: 'BaseApiClient', callable: Callable[..., Any], behavior: Optional[Behavior] = None, + use_json_schema: bool = False, ) -> 'FunctionDeclaration': """Converts a Callable to a FunctionDeclaration based on the client. @@ -4950,11 +4963,17 @@ def from_callable( """ if client.vertexai: return cls.from_callable_with_api_option( - callable=callable, api_option='VERTEX_AI', behavior=behavior + callable=callable, + api_option='ENTERPRISE', + behavior=behavior, + use_json_schema=use_json_schema, ) else: return cls.from_callable_with_api_option( - callable=callable, api_option='GEMINI_API', behavior=behavior + callable=callable, + api_option='GEMINI_API', + behavior=behavior, + use_json_schema=use_json_schema, ) From 66e224c39c9527e0fef3a4f049ac33ec941e2f99 Mon Sep 17 00:00:00 2001 From: Sara Robinson Date: Fri, 7 Aug 2026 13:04:48 -0700 Subject: [PATCH 06/19] feat: Add interaction_status to LiveServerContent PiperOrigin-RevId: 961081368 --- google/genai/types.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/google/genai/types.py b/google/genai/types.py index 49fb72faf..d67a59c54 100644 --- a/google/genai/types.py +++ b/google/genai/types.py @@ -1311,6 +1311,17 @@ class TurnCompleteReason(_common.CaseInSensitiveEnum): """Max regeneration attempts reached.""" +class InteractionStatus(_common.CaseInSensitiveEnum): + """The different activity states of the live session.""" + + INTERACTION_STATUS_UNSPECIFIED = 'INTERACTION_STATUS_UNSPECIFIED' + """Unspecified interaction status.""" + IN_PROGRESS = 'IN_PROGRESS' + """The server is still actively processing user input or running background reasoning. More model output may follow.""" + REQUIRES_ACTION = 'REQUIRES_ACTION' + """The server has completed all processing and background reasoning.""" + + class VadSignalType(_common.CaseInSensitiveEnum): """The type of the VAD signal.""" @@ -20274,6 +20285,10 @@ class LiveServerContent(_common.BaseModel): default=None, description="""Low latency transcription updated while the user is speaking.""", ) + interaction_status: Optional[InteractionStatus] = Field( + default=None, + description="""The current activity status of the live session. Always sent alongside `turn_complete`.""", + ) class LiveServerContentDict(TypedDict, total=False): @@ -20330,6 +20345,9 @@ class LiveServerContentDict(TypedDict, total=False): interim_input_transcription: Optional[TranscriptionDict] """Low latency transcription updated while the user is speaking.""" + interaction_status: Optional[InteractionStatus] + """The current activity status of the live session. Always sent alongside `turn_complete`.""" + LiveServerContentOrDict = Union[LiveServerContent, LiveServerContentDict] From 6a4c0b0a1748bf42ecd78bae9d401592be32eaca Mon Sep 17 00:00:00 2001 From: Ayush Agrawal Date: Mon, 10 Aug 2026 09:50:03 -0700 Subject: [PATCH 07/19] chore: internal PiperOrigin-RevId: 962209435 --- google/genai/_local_tokenizer_loader.py | 1 - .../genai/tests/local_tokenizer/test_local_tokenizer_loader.py | 3 --- 2 files changed, 4 deletions(-) diff --git a/google/genai/_local_tokenizer_loader.py b/google/genai/_local_tokenizer_loader.py index e80926601..27f4781b8 100644 --- a/google/genai/_local_tokenizer_loader.py +++ b/google/genai/_local_tokenizer_loader.py @@ -53,7 +53,6 @@ "gemini-3.5-flash": "gemma4", "gemini-3.1-flash-lite": "gemma4", "gemini-3.1-pro-preview": "gemma4", - "gemini-4-flash-preview": "gemma4", } GEMMA_TOKENIZER_TO_MODEL_NAMES = { diff --git a/google/genai/tests/local_tokenizer/test_local_tokenizer_loader.py b/google/genai/tests/local_tokenizer/test_local_tokenizer_loader.py index 99ed29cce..492963e6c 100644 --- a/google/genai/tests/local_tokenizer/test_local_tokenizer_loader.py +++ b/google/genai/tests/local_tokenizer/test_local_tokenizer_loader.py @@ -66,9 +66,6 @@ def test_get_tokenizer_name_huggingface(self): self.assertEqual( loader.get_tokenizer_name("gemini-3.1-pro-preview"), "gemma4" ) - self.assertEqual( - loader.get_tokenizer_name("gemini-4-flash-preview"), "gemma4" - ) def test_get_tokenizer_name_unsupported(self): with self.assertRaisesRegex( From ccbc6c58bf872885cfc0a453325060340e415f34 Mon Sep 17 00:00:00 2001 From: "release-please[bot]" <55107282+release-please[bot]@users.noreply.github.com> Date: Mon, 10 Aug 2026 11:53:42 -0700 Subject: [PATCH 08/19] chore(main): release 2.17.0 Copybara import of the project: -- a13f9bde4e0e4fbfbc38bf3f79acaafd94c9aae2 by release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>: COPYBARA_INTEGRATE_REVIEW=https://github.com/googleapis/python-genai/pull/2794 from googleapis:release-please--branches--main a13f9bde4e0e4fbfbc38bf3f79acaafd94c9aae2 PiperOrigin-RevId: 962282718 --- CHANGELOG.md | 21 +++++++++++++++++++++ google/genai/version.py | 2 +- pyproject.toml | 2 +- 3 files changed, 23 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index c52a0d3a8..bb0d8ea2d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,26 @@ # Changelog +## [2.17.0](https://github.com/googleapis/python-genai/compare/v2.16.0...v2.17.0) (2026-08-06) + + +### Features + +* Add the Gemini Robotics ER 2 Preview model ([61d4645](https://github.com/googleapis/python-genai/commit/61d4645c6f7acab5fdc1dd6a4f6943fe8c937347)) +* Add TOO_MANY_TOOL_CALLS to FinishReason enum. ([a8ec86e](https://github.com/googleapis/python-genai/commit/a8ec86eab28c2806205fc8ec746b492110113c44)) +* Add top-level errors array to Interaction resource (iAPI) ([c74505b](https://github.com/googleapis/python-genai/commit/c74505b03f53e5bf54b0aed5741267f00703d218)) + + +### Bug Fixes + +* Add propertyOrdering auto-population for ResponseSchema and ResponseJsonSchema for Dotnet SDK ([3ec2081](https://github.com/googleapis/python-genai/commit/3ec20812f4e6228bfa8dc766167ede2e1f925526)) + + +### Documentation + +* Fix interactions ([80d80ff](https://github.com/googleapis/python-genai/commit/80d80ffb98e95b0c62590e5593df47c74ee6e0b7)) +* Regenerate docs for 2.16.0 ([f03ecfd](https://github.com/googleapis/python-genai/commit/f03ecfd7734e08b60d7ea5f2123152ff1b6bdfbf)) +* Update GenerateVideos docstrings and samples ([c41ba11](https://github.com/googleapis/python-genai/commit/c41ba1163f4bc7cb90d913674d1ba481d18d1248)) + ## [2.16.0](https://github.com/googleapis/python-genai/compare/v2.15.0...v2.16.0) (2026-07-29) diff --git a/google/genai/version.py b/google/genai/version.py index 18772144c..602b199e4 100644 --- a/google/genai/version.py +++ b/google/genai/version.py @@ -13,4 +13,4 @@ # limitations under the License. # -__version__ = '2.16.0' # x-release-please-version +__version__ = '2.17.0' # x-release-please-version diff --git a/pyproject.toml b/pyproject.toml index b07c2d44a..b58055fa4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,7 +3,7 @@ requires = ["setuptools", "wheel", "twine>=6.1.0", "packaging>=24.2", "pkginfo>= [project] name = "google-genai" -version = "2.16.0" +version = "2.17.0" description = "GenAI Python SDK" readme = "README.md" license = "Apache-2.0" From 66bfe956f7a8b6c8d7c7eb949a9b6a499a4e2860 Mon Sep 17 00:00:00 2001 From: Google Team Member Date: Tue, 11 Aug 2026 09:39:38 -0700 Subject: [PATCH 09/19] perf: build model validators on first use instead of at import Close #2784 PiperOrigin-RevId: 962831329 --- google/genai/_common.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/google/genai/_common.py b/google/genai/_common.py index f4a6984f7..3bcfe2ebc 100644 --- a/google/genai/_common.py +++ b/google/genai/_common.py @@ -559,6 +559,11 @@ class BaseModel(pydantic.BaseModel): ser_json_bytes='base64', val_json_bytes='base64', ignored_types=(typing.TypeVar,), + # Build each model's validator and serializer on first use rather than + # at import. `types` defines several hundred models and any one caller + # touches a small fraction of them, so building them all up front is + # most of what importing this package costs. + defer_build=True, ) @pydantic.model_validator(mode='before') From 012804d9b649a20da46a6041e37d126b9a0b79e0 Mon Sep 17 00:00:00 2001 From: Amy Wu Date: Tue, 11 Aug 2026 21:08:07 -0700 Subject: [PATCH 10/19] feat: Support injecting httpx2 client. Closes #2680 PiperOrigin-RevId: 963182265 --- google/genai/_api_client.py | 52 ++++-- google/genai/_extra_utils.py | 6 +- google/genai/_mcp_utils.py | 34 ++-- google/genai/errors.py | 19 ++- .../genai/tests/client/test_httpx2_client.py | 149 ++++++++++++++++++ .../tests/mcp/test_mcp_to_gemini_tools.py | 9 +- google/genai/types.py | 20 ++- requirements.txt | 7 +- 8 files changed, 265 insertions(+), 31 deletions(-) create mode 100644 google/genai/tests/client/test_httpx2_client.py diff --git a/google/genai/_api_client.py b/google/genai/_api_client.py index e71e63216..f4d24fe4c 100644 --- a/google/genai/_api_client.py +++ b/google/genai/_api_client.py @@ -80,6 +80,12 @@ pass +try: + import httpx2 +except ImportError: + httpx2 = None # type: ignore[assignment] + + if TYPE_CHECKING: from multidict import CIMultiDictProxy @@ -93,6 +99,27 @@ _MULTI_REGIONAL_LOCATIONS = {'us', 'eu'} +# httpx2 (https://github.com/pydantic/httpx2) is a drop-in fork of httpx under a +# separate import namespace, so its classes are not instances of the httpx +# equivalents. Widen the runtime type checks to accept either when httpx2 is +# installed. +_HTTPX_RESPONSE_TYPES = ( + (httpx.Response,) if httpx2 is None else (httpx.Response, httpx2.Response) +) +_HTTPX_HEADERS_TYPES = ( + (httpx.Headers,) if httpx2 is None else (httpx.Headers, httpx2.Headers) +) +_HTTPX_TRANSIENT_EXC = ( + (httpx.TimeoutException, httpx.ConnectError) + if httpx2 is None + else ( + httpx.TimeoutException, + httpx.ConnectError, + httpx2.TimeoutException, + httpx2.ConnectError, + ) +) + class EphemeralTokenAPIKeyError(ValueError): """Error raised when the API key is invalid.""" @@ -256,9 +283,9 @@ def __init__( ): if isinstance(headers, dict): self.headers = headers - elif isinstance(headers, httpx.Headers): + elif isinstance(headers, _HTTPX_HEADERS_TYPES): self.headers = { - key: ', '.join(headers.get_list(key)) for key in headers.keys() + key: ', '.join(headers.get_list(key)) for key in headers.keys() # type: ignore[attr-defined] } elif isinstance(headers, CaseInsensitiveDict): self.headers = {key: value for key, value in headers.items()} @@ -339,7 +366,7 @@ def _copy_to_dict(self, response_payload: dict[str, object]) -> None: def _iter_response_stream(self) -> Iterator[str]: """Iterates over chunks retrieved from the API.""" if not ( - isinstance(self.response_stream, httpx.Response) + isinstance(self.response_stream, _HTTPX_RESPONSE_TYPES) or isinstance(self.response_stream, requests.Response) ): raise TypeError( @@ -350,7 +377,7 @@ def _iter_response_stream(self) -> Iterator[str]: chunk = '' balance = 0 data_buffer: list[str] = [] - if isinstance(self.response_stream, httpx.Response): + if isinstance(self.response_stream, _HTTPX_RESPONSE_TYPES): response_stream = self.response_stream.iter_lines() else: response_stream = self.response_stream.iter_lines(decode_unicode=True) @@ -389,7 +416,9 @@ def _iter_response_stream(self) -> Iterator[str]: async def _aiter_response_stream(self) -> AsyncIterator[str]: """Asynchronously iterates over chunks retrieved from the API.""" - is_valid_response = isinstance(self.response_stream, httpx.Response) or ( + is_valid_response = isinstance( + self.response_stream, _HTTPX_RESPONSE_TYPES + ) or ( has_aiohttp and isinstance(self.response_stream, aiohttp.ClientResponse) ) if not is_valid_response: @@ -403,9 +432,10 @@ async def _aiter_response_stream(self) -> AsyncIterator[str]: balance = 0 data_buffer: list[str] = [] # httpx.Response has a dedicated async line iterator. - if isinstance(self.response_stream, httpx.Response): + if isinstance(self.response_stream, _HTTPX_RESPONSE_TYPES): try: - async for line in self.response_stream.aiter_lines(): + response_stream: Any = self.response_stream + async for line in response_stream.aiter_lines(): if not line: if data_buffer: yield '\n'.join(data_buffer) @@ -437,7 +467,7 @@ async def _aiter_response_stream(self) -> AsyncIterator[str]: yield '\n'.join(data_buffer) finally: # Close the response and release the connection. - await self.response_stream.aclose() + await response_stream.aclose() # aiohttp.ClientResponse uses a content stream that we read line by line. elif has_aiohttp and isinstance( @@ -540,7 +570,7 @@ def retry_args(options: Optional[HttpRetryOptions]) -> _common.StringDict: retriable_codes = options.http_status_codes or _RETRY_HTTP_STATUS_CODES retry = tenacity.retry_if_exception( lambda e: (isinstance(e, errors.APIError) and e.code in retriable_codes) - or isinstance(e, (httpx.TimeoutException, httpx.ConnectError)), + or isinstance(e, _HTTPX_TRANSIENT_EXC), ) wait = tenacity.wait_exponential_jitter( initial=options.initial_delay or _RETRY_INITIAL_DELAY, @@ -1468,7 +1498,7 @@ def _request_once( headers=http_request.headers, timeout=http_request.timeout, ) - response = self._httpx_client.send(httpx_request, stream=stream) # type: ignore[union-attr] + response = self._httpx_client.send(httpx_request, stream=stream) # type: ignore[union-attr, arg-type] errors.APIError.raise_for_response(response) return HttpResponse( response.headers, response if stream else [response.text] @@ -1582,7 +1612,7 @@ async def _async_request_once( timeout=http_request.timeout, ) client_response = await self._async_httpx_client.send( # type: ignore[union-attr] - httpx_request, + httpx_request, # type: ignore[arg-type] stream=stream, ) await errors.APIError.raise_for_async_response(client_response) diff --git a/google/genai/_extra_utils.py b/google/genai/_extra_utils.py index 8e1445fdd..bb2c901d3 100644 --- a/google/genai/_extra_utils.py +++ b/google/genai/_extra_utils.py @@ -389,7 +389,11 @@ async def get_function_response_parts_async( mcp_tool_response = await func.call_tool( types.FunctionCall(name=func_name, args=args) ) - if mcp_tool_response.isError: + if getattr( + mcp_tool_response, + 'is_error', + getattr(mcp_tool_response, 'isError', False), + ): func_response = {'error': mcp_tool_response} else: func_response = {'result': mcp_tool_response} diff --git a/google/genai/_mcp_utils.py b/google/genai/_mcp_utils.py index 74b24b363..106f385c4 100644 --- a/google/genai/_mcp_utils.py +++ b/google/genai/_mcp_utils.py @@ -16,6 +16,11 @@ """Utils for working with MCP tools.""" import contextlib import httpx + +try: + import httpx2 +except ImportError: + httpx2 = None # type: ignore[assignment] import sys from importlib.metadata import PackageNotFoundError, version @@ -51,7 +56,11 @@ def mcp_to_gemini_tool(tool: McpTool) -> types.Tool: "description": tool.description, "parameters": types.Schema.from_json_schema( json_schema=types.JSONSchema( - **_filter_to_supported_schema(tool.inputSchema) + **_filter_to_supported_schema( + getattr( + tool, "input_schema", getattr(tool, "inputSchema", {}) + ) + ) ) ), }] @@ -61,13 +70,13 @@ def mcp_to_gemini_tool(tool: McpTool) -> types.Tool: def agent_platform_to_gemini_tool(tool: McpTool) -> types.Tool: """Translates an Agent Platform tool to a Google GenAI tool.""" return types.Tool( - function_declarations=[ - { - "name": tool.name, - "description": tool.description, - "parameters_json_schema": tool.inputSchema, - } - ] + function_declarations=[{ + "name": tool.name, + "description": tool.description, + "parameters_json_schema": getattr( + tool, "input_schema", getattr(tool, "inputSchema", {}) + ), + }] ) @@ -201,14 +210,19 @@ async def _connect_agent_platform_mcp(api_client: Any, toolset_name: str) -> typ set_mcp_usage_header(headers) - http_client = httpx.AsyncClient(headers=headers, timeout=None) + http_client: Any + if httpx2 is not None: + http_client = httpx2.AsyncClient(headers=headers, timeout=None) + else: + http_client = httpx.AsyncClient(headers=headers, timeout=None) try: async with http_client: async with streamable_http_client( url=mcp_url, http_client=http_client ) as streams: - read_stream, write_stream, _ = streams + read_stream = streams[0] + write_stream = streams[1] async with McpClientSession(read_stream, write_stream) as session: await session.initialize() try: diff --git a/google/genai/errors.py b/google/genai/errors.py index 48bf1b131..1b2f79959 100644 --- a/google/genai/errors.py +++ b/google/genai/errors.py @@ -19,6 +19,12 @@ import httpx import json import requests + +try: + import httpx2 +except ImportError: + httpx2 = None # type: ignore[assignment] + from . import _common @@ -28,6 +34,15 @@ from google.auth.aio.transport.aiohttp import Response as AsyncAuthorizedSessionResponse +# httpx2 (https://github.com/pydantic/httpx2) is a drop-in fork of httpx under a +# separate import namespace, so its Response is not an instance of +# httpx.Response. Widen the runtime type checks to accept either when httpx2 is +# installed. +_HTTPX_RESPONSE_TYPES = ( + (httpx.Response,) if httpx2 is None else (httpx.Response, httpx2.Response) +) + + class APIError(Exception): """General errors raised by the GenAI API.""" code: int @@ -129,7 +144,7 @@ def raise_for_response( if response.status_code == 200: return - if isinstance(response, httpx.Response): + if isinstance(response, _HTTPX_RESPONSE_TYPES): try: response.read() response_json = response.json() @@ -198,7 +213,7 @@ async def raise_for_async_response( ], ) -> None: """Raises an error with detailed error message if the response has an error status.""" - if isinstance(response, httpx.Response): + if isinstance(response, _HTTPX_RESPONSE_TYPES): if response.status_code == 200: return try: diff --git a/google/genai/tests/client/test_httpx2_client.py b/google/genai/tests/client/test_httpx2_client.py new file mode 100644 index 000000000..5471169de --- /dev/null +++ b/google/genai/tests/client/test_httpx2_client.py @@ -0,0 +1,149 @@ +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +"""Tests for injecting a Pydantic `httpx2` client into the SDK. + +`httpx2` (https://github.com/pydantic/httpx2) is a drop-in fork of `httpx` under +a separate import namespace, so `httpx2` classes fail `isinstance(x, httpx.*)`. +These tests pin the two "walls" that must be widened for the SDK to accept an +injected `httpx2` client (see issue #2680): + +- WALL 1: `HttpOptions.httpx_async_client` / `httpx_client` must accept an + `httpx2` client at construction (aliases in the generated `types.py`). +- WALL 2: the hand-written `isinstance` checks in `errors.py` / `_api_client.py` + must recognize an `httpx2.Response`. +""" + +import pytest + +try: + import httpx2 +except ImportError: + httpx2 = None + +# Mark all tests in this module to be skipped if httpx2 is not available +pytestmark = pytest.mark.skipif( + httpx2 is None, reason='httpx2 is not available' +) + +from ... import _api_client as api_client +from ... import Client +from ... import errors +from ...types import HttpOptions + + +# WALL 1 — the client must be accepted at construction. +def test_http_options_accepts_httpx2_clients(): + # Previously raised ValidationError because the aliases were typed to the + # httpx clients only, so Pydantic emitted an is_instance_of(httpx.*) check. + http_options = HttpOptions( + httpx_client=httpx2.Client(trust_env=False), + httpx_async_client=httpx2.AsyncClient(trust_env=False), + ) + assert isinstance(http_options.httpx_client, httpx2.Client) + assert isinstance(http_options.httpx_async_client, httpx2.AsyncClient) + + +def test_constructor_with_httpx2_clients(): + mldev_client = Client( + api_key='google_api_key', + http_options={ + 'httpx_client': httpx2.Client(trust_env=False), + 'httpx_async_client': httpx2.AsyncClient(trust_env=False), + }, + ) + assert not mldev_client.models._api_client._httpx_client.trust_env + assert not mldev_client.models._api_client._async_httpx_client.trust_env + + vertexai_client = Client( + vertexai=True, + project='fake_project_id', + location='fake-location', + http_options={ + 'httpx_client': httpx2.Client(trust_env=False), + 'httpx_async_client': httpx2.AsyncClient(trust_env=False), + }, + ) + assert not vertexai_client.models._api_client._httpx_client.trust_env + assert not vertexai_client.models._api_client._async_httpx_client.trust_env + + +# WALL 2 — the response must be processed by the error/raise functions. +def test_raise_for_response_httpx2_success(): + assert ( + errors.APIError.raise_for_response(httpx2.Response(status_code=200)) + is None + ) + + +def test_raise_for_response_httpx2_client_error(): + class FakeResponse(httpx2.Response): + + def read(self) -> bytes: + self._content = ( + b'{"error": {"code": 400, "message": "error message", "status":' + b' "INVALID_ARGUMENT"}}' + ) + return self._content + + with pytest.raises(errors.ClientError) as exc_info: + errors.APIError.raise_for_response(FakeResponse(status_code=400)) + assert exc_info.value.code == 400 + assert exc_info.value.message == 'error message' + assert exc_info.value.status == 'INVALID_ARGUMENT' + + +@pytest.mark.asyncio +async def test_raise_for_async_response_httpx2_success(): + # The async success path early-returns from inside the isinstance branch, so + # without widening it every httpx2 response (success and error) is rejected. + assert ( + await errors.APIError.raise_for_async_response( + httpx2.Response(status_code=200) + ) + is None + ) + + +@pytest.mark.asyncio +async def test_raise_for_async_response_httpx2_client_error(): + class FakeResponse(httpx2.Response): + + async def aread(self) -> bytes: + self._content = ( + b'{"error": {"code": 400, "message": "error message", "status":' + b' "INVALID_ARGUMENT"}}' + ) + return self._content + + with pytest.raises(errors.ClientError) as exc_info: + await errors.APIError.raise_for_async_response(FakeResponse(status_code=400)) + assert exc_info.value.code == 400 + assert exc_info.value.message == 'error message' + assert exc_info.value.status == 'INVALID_ARGUMENT' + + +# WALL 2 — an httpx2.Response must flow through the async streaming iterator. +@pytest.mark.asyncio +async def test_httpx2_response_flows_through_async_stream(): + response = httpx2.Response( + status_code=200, + content=b'data: {"first": 1}\n\ndata: {"second": 2}\n\n', + ) + http_response = api_client.HttpResponse(headers={}, response_stream=response) + + chunks = [chunk async for chunk in http_response._aiter_response_stream()] + + assert chunks == ['{"first": 1}', '{"second": 2}'] diff --git a/google/genai/tests/mcp/test_mcp_to_gemini_tools.py b/google/genai/tests/mcp/test_mcp_to_gemini_tools.py index 61d64102c..a8e476c35 100644 --- a/google/genai/tests/mcp/test_mcp_to_gemini_tools.py +++ b/google/genai/tests/mcp/test_mcp_to_gemini_tools.py @@ -22,6 +22,10 @@ from ... import types from ..._api_client import BaseApiClient +try: + import httpx2 +except ImportError: + httpx2 = None try: from mcp import types as mcp_types @@ -310,8 +314,11 @@ def test_agent_platform_preserves_unknown_fields(): assert schema['some_new_future_field'] == 'value' +@pytest.mark.skipif( + httpx2 is None, reason='httpx2 is not available' +) @pytest.mark.asyncio -@mock.patch('httpx.AsyncClient') +@mock.patch('httpx2.AsyncClient') @mock.patch.object(_mcp_utils, 'streamable_http_client') @mock.patch.object(_mcp_utils, 'McpClientSession') @mock.patch('google.auth.default') diff --git a/google/genai/types.py b/google/genai/types.py index d67a59c54..5b2a1280a 100644 --- a/google/genai/types.py +++ b/google/genai/types.py @@ -109,9 +109,10 @@ def __getattr__(name: str) -> Any: _is_httpx_imported = False if typing.TYPE_CHECKING: import httpx + import httpx2 - HttpxClient = httpx.Client - HttpxAsyncClient = httpx.AsyncClient + HttpxClient = Union[httpx.Client, httpx2.Client] + HttpxAsyncClient = Union[httpx.AsyncClient, httpx2.AsyncClient] _is_httpx_imported = True else: HttpxClient: typing.Type = Any @@ -127,6 +128,19 @@ def __getattr__(name: str) -> Any: HttpxClient = None HttpxAsyncClient = None + try: + import httpx2 + + if _is_httpx_imported: + HttpxClient = Union[httpx.Client, httpx2.Client] + HttpxAsyncClient = Union[httpx.AsyncClient, httpx2.AsyncClient] + else: + HttpxClient = httpx2.Client + HttpxAsyncClient = httpx2.AsyncClient + _is_httpx_imported = True + except ImportError: + pass + _is_aiohttp_imported = False if typing.TYPE_CHECKING: from aiohttp import ClientSession @@ -1997,7 +2011,7 @@ def from_mcp_response( ' imported.' ) - if response.isError: + if getattr(response, 'is_error', getattr(response, 'isError', False)): return cls(name=name, response={'error': 'MCP response is error.'}) else: return cls(name=name, response={'result': response.content}) diff --git a/requirements.txt b/requirements.txt index b6c18ad3f..4583be06a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,14 +1,15 @@ absl-py==2.1.0 annotated-types==0.7.0 -anyio==4.8.0 +anyio==4.14.2 cachetools==5.5.0 certifi==2024.8.30 charset-normalizer==3.4.0 coverage==7.6.9 distro==1.9.0 httpx==0.28.1 +httpx2==2.7.0; python_version >= '3.10' google-auth==2.56.0 -idna==3.10 +idna==3.18 iniconfig==2.0.0 packaging==24.2 pillow==11.0.0 @@ -29,6 +30,6 @@ tenacity==8.2.3 typing_extensions>=4.14.1 urllib3==2.5.0 websockets==16.0 -mcp>=1.14.0; python_version > '3.9' +mcp>=1.14.0,<2.0.0; python_version > '3.9' sentencepiece>=0.2.0 protobuf From 288d2ef561f396569059340228c4176fe7d83169 Mon Sep 17 00:00:00 2001 From: Google Team Member Date: Wed, 12 Aug 2026 04:48:59 -0700 Subject: [PATCH 11/19] No public description PiperOrigin-RevId: 963368024 --- .../_gaos/resources/interactions/__init__.py | 2 + .../interactions/videocontent/__init__.py | 21 +++++ .../_gaos/types/interactions/__init__.py | 25 +++++- .../genai/_gaos/types/interactions/content.py | 2 +- .../types/interactions/mediaprocessing.py | 26 ++++++ .../interactions/staticmediaprocessing.py | 84 +++++++++++++++++++ .../_gaos/types/interactions/videocontent.py | 29 ++++++- 7 files changed, 185 insertions(+), 4 deletions(-) create mode 100644 google/genai/_gaos/resources/interactions/videocontent/__init__.py create mode 100644 google/genai/_gaos/types/interactions/mediaprocessing.py create mode 100644 google/genai/_gaos/types/interactions/staticmediaprocessing.py diff --git a/google/genai/_gaos/resources/interactions/__init__.py b/google/genai/_gaos/resources/interactions/__init__.py index f2468290f..5bdf1ef5e 100644 --- a/google/genai/_gaos/resources/interactions/__init__.py +++ b/google/genai/_gaos/resources/interactions/__init__.py @@ -125,6 +125,7 @@ from . import urlcontextcallstep from . import urlcontextresultstep from . import usage +from . import videocontent CreateAgentInteractionParamsStreaming = CreateAgentInteractionParamsNonStreaming CreateModelInteractionParamsStreaming = CreateModelInteractionParamsNonStreaming @@ -228,4 +229,5 @@ "urlcontextcallstep", "urlcontextresultstep", "usage", + "videocontent", ] diff --git a/google/genai/_gaos/resources/interactions/videocontent/__init__.py b/google/genai/_gaos/resources/interactions/videocontent/__init__.py new file mode 100644 index 000000000..c3b4b2e06 --- /dev/null +++ b/google/genai/_gaos/resources/interactions/videocontent/__init__.py @@ -0,0 +1,21 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# pyformat: disable + +"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.""" + +from ....types.interactions.staticmediaprocessing import StaticMediaProcessing as Static + +__all__ = ["Static"] diff --git a/google/genai/_gaos/types/interactions/__init__.py b/google/genai/_gaos/types/interactions/__init__.py index aeb438ea8..3ba034039 100644 --- a/google/genai/_gaos/types/interactions/__init__.py +++ b/google/genai/_gaos/types/interactions/__init__.py @@ -290,6 +290,7 @@ MCPServerToolResultStepResultUnion, MCPServerToolResultStepResultUnionParam, ) + from .mediaprocessing import MediaProcessing, MediaProcessingParam from .mediaresolution import MediaResolution from .modalitytokens import ModalityTokens, ModalityTokensTypedDict from .model import Model @@ -325,6 +326,7 @@ from .sessionconfig import SessionConfig, SessionConfigParam from .source import Source, SourceParam, SourceType from .speechconfig import SpeechConfig, SpeechConfigParam + from .staticmediaprocessing import StaticMediaProcessing, StaticMediaProcessingParam from .status import Status, StatusParam from .step import Step, StepParam, UnknownStep from .stepdelta import StepDelta, StepDeltaTypedDict @@ -384,7 +386,14 @@ from .userinputstep import UserInputStep, UserInputStepParam from .vertexaisearchconfig import VertexAISearchConfig, VertexAISearchConfigParam from .videoconfig import Task, VideoConfig, VideoConfigParam - from .videocontent import VideoContent, VideoContentMimeType, VideoContentParam + from .videocontent import ( + Processing, + ProcessingEnum, + ProcessingParam, + VideoContent, + VideoContentMimeType, + VideoContentParam, + ) from .videodelta import VideoDelta, VideoDeltaMimeType, VideoDeltaTypedDict from .videoresponseformat import ( VideoResponseFormat, @@ -616,6 +625,8 @@ "MCPServerToolResultStepResultParam", "MCPServerToolResultStepResultUnion", "MCPServerToolResultStepResultUnionParam", + "MediaProcessing", + "MediaProcessingParam", "MediaResolution", "Method", "ModalityTokens", @@ -631,6 +642,9 @@ "ParallelAISearchConfigParam", "PlaceCitation", "PlaceCitationParam", + "Processing", + "ProcessingEnum", + "ProcessingParam", "RagResource", "RagResourceParam", "RagRetrievalConfig", @@ -664,6 +678,8 @@ "SourceType", "SpeechConfig", "SpeechConfigParam", + "StaticMediaProcessing", + "StaticMediaProcessingParam", "Status", "StatusParam", "Step", @@ -1000,6 +1016,8 @@ "MCPServerToolResultStepResultParam": ".mcpservertoolresultstep", "MCPServerToolResultStepResultUnion": ".mcpservertoolresultstep", "MCPServerToolResultStepResultUnionParam": ".mcpservertoolresultstep", + "MediaProcessing": ".mediaprocessing", + "MediaProcessingParam": ".mediaprocessing", "MediaResolution": ".mediaresolution", "ModalityTokens": ".modalitytokens", "ModalityTokensTypedDict": ".modalitytokens", @@ -1045,6 +1063,8 @@ "SourceType": ".source", "SpeechConfig": ".speechconfig", "SpeechConfigParam": ".speechconfig", + "StaticMediaProcessing": ".staticmediaprocessing", + "StaticMediaProcessingParam": ".staticmediaprocessing", "Status": ".status", "StatusParam": ".status", "Step": ".step", @@ -1119,6 +1139,9 @@ "Task": ".videoconfig", "VideoConfig": ".videoconfig", "VideoConfigParam": ".videoconfig", + "Processing": ".videocontent", + "ProcessingEnum": ".videocontent", + "ProcessingParam": ".videocontent", "VideoContent": ".videocontent", "VideoContentMimeType": ".videocontent", "VideoContentParam": ".videocontent", diff --git a/google/genai/_gaos/types/interactions/content.py b/google/genai/_gaos/types/interactions/content.py index 6da27ffe8..8fd96d054 100644 --- a/google/genai/_gaos/types/interactions/content.py +++ b/google/genai/_gaos/types/interactions/content.py @@ -37,8 +37,8 @@ TextContentParam, DocumentContentParam, ImageContentParam, - VideoContentParam, AudioContentParam, + VideoContentParam, ], ) r"""The content of the response.""" diff --git a/google/genai/_gaos/types/interactions/mediaprocessing.py b/google/genai/_gaos/types/interactions/mediaprocessing.py new file mode 100644 index 000000000..cafb7bdc0 --- /dev/null +++ b/google/genai/_gaos/types/interactions/mediaprocessing.py @@ -0,0 +1,26 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# pyformat: disable + +"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.""" + +from __future__ import annotations +from .staticmediaprocessing import StaticMediaProcessing, StaticMediaProcessingParam + + +MediaProcessingParam = StaticMediaProcessingParam + + +MediaProcessing = StaticMediaProcessing diff --git a/google/genai/_gaos/types/interactions/staticmediaprocessing.py b/google/genai/_gaos/types/interactions/staticmediaprocessing.py new file mode 100644 index 000000000..89b3a6c2a --- /dev/null +++ b/google/genai/_gaos/types/interactions/staticmediaprocessing.py @@ -0,0 +1,84 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# pyformat: disable + +"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.""" + +from __future__ import annotations +from .. import BaseModel, UNSET_SENTINEL +from ...utils import validate_const +import pydantic +from pydantic import model_serializer +from pydantic.functional_validators import AfterValidator +from typing import Literal, Optional +from typing_extensions import Annotated, NotRequired, TypedDict + + +class StaticMediaProcessingParam(TypedDict): + end_offset: NotRequired[str] + r"""Optional. Segment end time. Specified as a decimal number of seconds followed + by an 's' suffix, e.g., \"30s\". Must be non-negative and greater than + `start_offset` if `start_offset` is set. + """ + fps: NotRequired[float] + r"""Optional. Video frame-rate sampling density.""" + start_offset: NotRequired[str] + r"""Optional. Segment start time. Specified as a decimal number of seconds followed + by an 's' suffix, e.g., \"10.5s\". Must be non-negative. + """ + type: Literal["static"] + + +class StaticMediaProcessing(BaseModel): + end_offset: Optional[str] = None + r"""Optional. Segment end time. Specified as a decimal number of seconds followed + by an 's' suffix, e.g., \"30s\". Must be non-negative and greater than + `start_offset` if `start_offset` is set. + """ + + fps: Optional[float] = None + r"""Optional. Video frame-rate sampling density.""" + + start_offset: Optional[str] = None + r"""Optional. Segment start time. Specified as a decimal number of seconds followed + by an 's' suffix, e.g., \"10.5s\". Must be non-negative. + """ + + type: Annotated[ + Annotated[Literal["static"], AfterValidator(validate_const("static"))], + pydantic.Field(alias="type"), + ] = "static" + + @model_serializer(mode="wrap") + def serialize_model(self, handler): + optional_fields = set(["end_offset", "fps", "start_offset"]) + serialized = handler(self) + m = {} + + for n, f in type(self).model_fields.items(): + k = f.alias or n + val = serialized.get(k, serialized.get(n)) + + if val != UNSET_SENTINEL: + if val is not None or k not in optional_fields: + m[k] = val + + return m + + +try: + StaticMediaProcessing.model_rebuild() +except NameError: + pass diff --git a/google/genai/_gaos/types/interactions/videocontent.py b/google/genai/_gaos/types/interactions/videocontent.py index 1826789a1..b92bb7675 100644 --- a/google/genai/_gaos/types/interactions/videocontent.py +++ b/google/genai/_gaos/types/interactions/videocontent.py @@ -25,12 +25,32 @@ UnrecognizedStr, ) from ...utils import validate_const +from .mediaprocessing import MediaProcessing, MediaProcessingParam from .mediaresolution import MediaResolution import pydantic from pydantic import model_serializer from pydantic.functional_validators import AfterValidator from typing import Literal, Optional, Union -from typing_extensions import Annotated, NotRequired, TypedDict +from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict + + +ProcessingEnum = Union[ + Literal[ + "static", + "agentic", + ], + UnrecognizedStr, +] + + +ProcessingParam = TypeAliasType( + "ProcessingParam", Union[MediaProcessingParam, ProcessingEnum] +) +r"""How the model processes this video for understanding.""" + + +Processing = TypeAliasType("Processing", Union[MediaProcessing, ProcessingEnum]) +r"""How the model processes this video for understanding.""" VideoContentMimeType = Union[ @@ -55,6 +75,8 @@ class VideoContentParam(TypedDict): data: NotRequired[Union[str, Base64FileInput]] r"""The video content.""" + processing: NotRequired[ProcessingParam] + r"""How the model processes this video for understanding.""" resolution: NotRequired[MediaResolution] type: Literal["video"] uri: NotRequired[str] @@ -69,6 +91,9 @@ class VideoContent(BaseModel): data: Optional[Base64EncodedString] = None r"""The video content.""" + processing: Optional[Processing] = None + r"""How the model processes this video for understanding.""" + resolution: Optional[MediaResolution] = None type: Annotated[ @@ -84,7 +109,7 @@ class VideoContent(BaseModel): @model_serializer(mode="wrap") def serialize_model(self, handler): - optional_fields = set(["data", "resolution", "uri", "mime_type"]) + optional_fields = set(["data", "processing", "resolution", "uri", "mime_type"]) serialized = handler(self) m = {} From 89dcfe5b28f5e794f9a5ac84e2d45e9e7b7bd803 Mon Sep 17 00:00:00 2001 From: Google Team Member Date: Wed, 12 Aug 2026 10:28:03 -0700 Subject: [PATCH 12/19] perf: lazily import the interactions API to speed up import google.genai The top-level package eagerly imported the interactions submodule, and client.py eagerly imported the _gaos backend, so every `import google.genai` paid for hundreds of interactions-API modules even when the caller only uses generate_content. Defer both: make `interactions` a lazy module attribute via __getattr__, and move the _gaos imports in client.py under TYPE_CHECKING plus into the Client/AsyncClient properties that construct them. `from __future__ import annotations` keeps the property return annotations valid without the eager import. The _gaos modules now load only when .interactions/.agents/ .webhooks (or the nextgen client) are first accessed. PiperOrigin-RevId: 963526443 --- google/genai/__init__.py | 14 +++++++-- google/genai/client.py | 66 ++++++++++++++++++++++++++-------------- 2 files changed, 56 insertions(+), 24 deletions(-) diff --git a/google/genai/__init__.py b/google/genai/__init__.py index 9c98f6ef6..e9d37f6bb 100644 --- a/google/genai/__init__.py +++ b/google/genai/__init__.py @@ -15,7 +15,9 @@ """Google Gen AI SDK""" -from . import interactions +import importlib +from typing import Any + from . import types from . import version from .client import Client @@ -23,4 +25,12 @@ __version__ = version.__version__ -__all__ = ['Client'] +__all__ = ['Client', 'interactions', 'types'] + + +def __getattr__(name: str) -> Any: + if name == 'interactions': + module = importlib.import_module('.interactions', __name__) + globals()[name] = module + return module + raise AttributeError(f'module {__name__!r} has no attribute {name!r}') diff --git a/google/genai/client.py b/google/genai/client.py index e730fb28d..8a939306c 100644 --- a/google/genai/client.py +++ b/google/genai/client.py @@ -13,13 +13,17 @@ # limitations under the License. # +from __future__ import annotations + import asyncio import os -from typing import Any, Optional, Union +from typing import Any, Optional, TYPE_CHECKING, Union +import warnings import google.auth import pydantic +from . import _common from ._api_client import BaseApiClient from ._base_url import get_base_url from ._replay_api_client import ReplayApiClient @@ -35,26 +39,21 @@ from .tunings import AsyncTunings, Tunings from .types import HttpOptions, HttpOptionsDict, HttpRetryOptions -import warnings - -from . import _common - -from ._gaos.google_genai import ( - AsyncGeminiNextGenAgents, - AsyncGeminiNextGenEnvironments, - AsyncGeminiNextGenInteractions, - AsyncGeminiNextGenTriggers, - AsyncGeminiNextGenWebhooks, - GeminiNextGenAgents, - GeminiNextGenEnvironments, - GeminiNextGenInteractions, - GeminiNextGenTriggers, - GeminiNextGenWebhooks, - build_google_genai_async_client, - build_google_genai_client, -) -from ._gaos.sdk import AsyncGenAI as AsyncGeminiNextGenAPI -from ._gaos.sdk import GenAI as GeminiNextGenAPI +if TYPE_CHECKING: + from ._gaos.google_genai import ( + AsyncGeminiNextGenAgents, + AsyncGeminiNextGenEnvironments, + AsyncGeminiNextGenInteractions, + AsyncGeminiNextGenTriggers, + AsyncGeminiNextGenWebhooks, + GeminiNextGenAgents, + GeminiNextGenEnvironments, + GeminiNextGenInteractions, + GeminiNextGenTriggers, + GeminiNextGenWebhooks, + ) + from ._gaos.sdk import AsyncGenAI as AsyncGeminiNextGenAPI + from ._gaos.sdk import GenAI as GeminiNextGenAPI _agent_experimental_warned = False _trigger_experimental_warned = False @@ -86,6 +85,8 @@ def __init__(self, api_client: BaseApiClient): @property def _nextgen_client(self) -> AsyncGeminiNextGenAPI: if self._nextgen_client_instance is None: + from ._gaos.google_genai import build_google_genai_async_client + self._nextgen_client_instance = build_google_genai_async_client( self._api_client ) @@ -94,12 +95,16 @@ def _nextgen_client(self) -> AsyncGeminiNextGenAPI: @property def interactions(self) -> AsyncGeminiNextGenInteractions: if self._interactions is None: + from ._gaos.google_genai import AsyncGeminiNextGenInteractions + self._interactions = AsyncGeminiNextGenInteractions(self._api_client) return self._interactions @property def webhooks(self) -> AsyncGeminiNextGenWebhooks: if self._webhooks is None: + from ._gaos.google_genai import AsyncGeminiNextGenWebhooks + self._webhooks = AsyncGeminiNextGenWebhooks(self._api_client) return self._webhooks @@ -114,6 +119,8 @@ def agents(self) -> AsyncGeminiNextGenAgents: stacklevel=1, ) if self._agents is None: + from ._gaos.google_genai import AsyncGeminiNextGenAgents + self._agents = AsyncGeminiNextGenAgents(self._api_client) return self._agents @@ -128,6 +135,8 @@ def triggers(self) -> AsyncGeminiNextGenTriggers: stacklevel=1, ) if self._triggers is None: + from ._gaos.google_genai import AsyncGeminiNextGenTriggers + self._triggers = AsyncGeminiNextGenTriggers(self._api_client) return self._triggers @@ -143,10 +152,11 @@ def environments(self) -> AsyncGeminiNextGenEnvironments: stacklevel=1, ) if self._environments is None: + from ._gaos.google_genai import AsyncGeminiNextGenEnvironments + self._environments = AsyncGeminiNextGenEnvironments(self._api_client) return self._environments - @property def models(self) -> AsyncModels: return self._models @@ -441,6 +451,8 @@ def _get_api_client( @property def _nextgen_client(self) -> GeminiNextGenAPI: if self._nextgen_client_instance is None: + from ._gaos.google_genai import build_google_genai_client + self._nextgen_client_instance = build_google_genai_client( self._api_client ) @@ -449,12 +461,16 @@ def _nextgen_client(self) -> GeminiNextGenAPI: @property def interactions(self) -> GeminiNextGenInteractions: if self._interactions is None: + from ._gaos.google_genai import GeminiNextGenInteractions + self._interactions = GeminiNextGenInteractions(self._api_client) return self._interactions @property def webhooks(self) -> GeminiNextGenWebhooks: if self._webhooks is None: + from ._gaos.google_genai import GeminiNextGenWebhooks + self._webhooks = GeminiNextGenWebhooks(self._api_client) return self._webhooks @@ -469,6 +485,8 @@ def agents(self) -> GeminiNextGenAgents: stacklevel=2, ) if self._agents is None: + from ._gaos.google_genai import GeminiNextGenAgents + self._agents = GeminiNextGenAgents(self._api_client) return self._agents @@ -483,6 +501,8 @@ def triggers(self) -> GeminiNextGenTriggers: stacklevel=2, ) if self._triggers is None: + from ._gaos.google_genai import GeminiNextGenTriggers + self._triggers = GeminiNextGenTriggers(self._api_client) return self._triggers @@ -497,6 +517,8 @@ def environments(self) -> GeminiNextGenEnvironments: stacklevel=2, ) if self._environments is None: + from ._gaos.google_genai import GeminiNextGenEnvironments + self._environments = GeminiNextGenEnvironments(self._api_client) return self._environments From 3a44936ea783363489967bd9d219fb26401585dd Mon Sep 17 00:00:00 2001 From: Google Team Member Date: Wed, 12 Aug 2026 10:59:52 -0700 Subject: [PATCH 13/19] perf: stop importing the requests HTTP stack at module scope PiperOrigin-RevId: 963546158 --- google/genai/_api_client.py | 23 ++++++++++++++++------- google/genai/_common.py | 12 ++++++++++++ google/genai/errors.py | 15 +++++++++------ google/genai/live.py | 23 +++++++++++++++++------ 4 files changed, 54 insertions(+), 19 deletions(-) diff --git a/google/genai/_api_client.py b/google/genai/_api_client.py index f4d24fe4c..3c4cbc247 100644 --- a/google/genai/_api_client.py +++ b/google/genai/_api_client.py @@ -45,13 +45,10 @@ import google.auth.credentials from google.auth.credentials import Credentials from google.auth.transport import mtls -from google.auth.transport.requests import AuthorizedSession from google.auth import exceptions as auth_exceptions import httpx from pydantic import BaseModel from pydantic import ValidationError -import requests -from requests.structures import CaseInsensitiveDict import tenacity from . import _common @@ -87,7 +84,9 @@ if TYPE_CHECKING: + from google.auth.transport.requests import AuthorizedSession # pylint: disable=g-import-not-at-top from multidict import CIMultiDictProxy + from requests.structures import CaseInsensitiveDict # pylint: disable=g-import-not-at-top logger = logging.getLogger('google_genai._api_client') @@ -276,7 +275,7 @@ def __init__( dict[str, str], httpx.Headers, 'CIMultiDictProxy[str]', - CaseInsensitiveDict, + 'CaseInsensitiveDict', ], response_stream: Union[Any, str] = None, byte_stream: Union[Any, bytes] = None, @@ -287,7 +286,11 @@ def __init__( self.headers = { key: ', '.join(headers.get_list(key)) for key in headers.keys() # type: ignore[attr-defined] } - elif isinstance(headers, CaseInsensitiveDict): + elif ( + requests_module := _common.loaded_requests() + ) is not None and isinstance( + headers, requests_module.structures.CaseInsensitiveDict + ): self.headers = {key: value for key, value in headers.items()} elif type(headers).__name__ == 'CIMultiDictProxy': self.headers = { @@ -365,9 +368,13 @@ def _copy_to_dict(self, response_payload: dict[str, object]) -> None: def _iter_response_stream(self) -> Iterator[str]: """Iterates over chunks retrieved from the API.""" + requests_module = _common.loaded_requests() if not ( isinstance(self.response_stream, _HTTPX_RESPONSE_TYPES) - or isinstance(self.response_stream, requests.Response) + or ( + requests_module is not None + and isinstance(self.response_stream, requests_module.Response) + ) ): raise TypeError( 'Expected self.response_stream to be an httpx.Response object, ' @@ -848,7 +855,7 @@ def __init__( vertexai=bool(self.vertexai), ) self._async_httpx_client_args = async_client_args - self._authorized_session: Optional[AuthorizedSession] = None + self._authorized_session: Optional['AuthorizedSession'] = None if self._use_google_auth_sync(): self._httpx_client = None @@ -1467,6 +1474,8 @@ def _request_once( if self._use_google_auth_sync(): url = str(http_request.url) if self._authorized_session is None: + from google.auth.transport.requests import AuthorizedSession # pylint: disable=g-import-not-at-top + self._authorized_session = AuthorizedSession( # type: ignore[no-untyped-call] self._credentials, max_refresh_attempts=1, diff --git a/google/genai/_common.py b/google/genai/_common.py index 3bcfe2ebc..64dd44274 100644 --- a/google/genai/_common.py +++ b/google/genai/_common.py @@ -22,6 +22,7 @@ import functools import logging import re +import sys import typing from typing import Any, Callable, FrozenSet, Optional, Union, get_args, get_origin import uuid @@ -35,6 +36,17 @@ StringDict: TypeAlias = dict[str, Any] +def loaded_requests() -> Optional[Any]: + """Returns the `requests` module, or None if nothing has imported it. + + Only the synchronous google-auth path uses `requests`, and importing it + costs around 300 modules. An object can only be an instance of a `requests` + class once that module is loaded, so callers doing an isinstance check + against one can consult this instead of importing it themselves. + """ + return sys.modules.get('requests') + + class ExperimentalWarning(Warning): """Warning for experimental features.""" diff --git a/google/genai/errors.py b/google/genai/errors.py index 1b2f79959..d54b463ec 100644 --- a/google/genai/errors.py +++ b/google/genai/errors.py @@ -18,7 +18,6 @@ from typing import Any, Callable, Optional, TYPE_CHECKING, Union import httpx import json -import requests try: import httpx2 @@ -32,6 +31,7 @@ from .replay_api_client import ReplayResponse import aiohttp from google.auth.aio.transport.aiohttp import Response as AsyncAuthorizedSessionResponse + import requests # pylint: disable=g-import-not-at-top # httpx2 (https://github.com/pydantic/httpx2) is a drop-in fork of httpx under a @@ -47,7 +47,7 @@ class APIError(Exception): """General errors raised by the GenAI API.""" code: int response: Union[ - requests.Response, + 'requests.Response', 'ReplayResponse', httpx.Response, 'AsyncAuthorizedSessionResponse', @@ -62,7 +62,7 @@ def __init__( response_json: Any, response: Optional[ Union[ - requests.Response, + 'requests.Response', 'ReplayResponse', httpx.Response, 'AsyncAuthorizedSessionResponse', @@ -138,7 +138,8 @@ def _to_replay_record(self) -> _common.StringDict: @classmethod def raise_for_response( - cls, response: Union['ReplayResponse', httpx.Response, requests.Response] + cls, + response: Union['ReplayResponse', httpx.Response, 'requests.Response'], ) -> None: """Raises an error with detailed error message if the response has an error status.""" if response.status_code == 200: @@ -154,7 +155,9 @@ def raise_for_response( 'message': message, 'status': response.reason_phrase, } - elif isinstance(response, requests.Response): + elif (requests := _common.loaded_requests()) is not None and isinstance( + response, requests.Response + ): try: # do not do any extra muanipulation on the response. # return the raw response json as is. @@ -178,7 +181,7 @@ def raise_error( Union[ 'ReplayResponse', httpx.Response, - requests.Response, + 'requests.Response', ] ], ) -> None: diff --git a/google/genai/live.py b/google/genai/live.py index b9cf0c33e..96a696a33 100644 --- a/google/genai/live.py +++ b/google/genai/live.py @@ -54,10 +54,20 @@ from websockets.client import ClientConnection # type: ignore from websockets.client import connect as ws_connect # type: ignore -try: - from google.auth.transport import requests -except ImportError: - requests = None # type: ignore[assignment] + +def _auth_requests() -> Any: + """Returns google-auth's requests transport, or None if it is unavailable. + + Resolved on use rather than at module scope, because importing it pulls in + the whole `requests` stack and only credential refresh below needs it. + """ + try: + from google.auth.transport import requests + + return requests + except ImportError: + return None + if typing.TYPE_CHECKING: from mcp import ClientSession as McpClientSession @@ -1037,9 +1047,10 @@ async def connect( # creds.valid is False, and creds.token is None # Need to refresh credentials to populate those if not (creds.token and creds.valid): - if requests is None: + auth_requests = _auth_requests() + if auth_requests is None: raise ValueError('The requests module is required to refresh google-auth credentials. Please install with `pip install google-auth[requests]`') - auth_req = requests.Request() # type: ignore + auth_req = auth_requests.Request() creds.refresh(auth_req) # type: ignore[no-untyped-call] bearer_token = creds.token From d4850494816c40d943182f4f80f7200a67bd2b5a Mon Sep 17 00:00:00 2001 From: Ayush Agrawal Date: Wed, 12 Aug 2026 13:08:09 -0700 Subject: [PATCH 14/19] test: retry transient errors in the shared integration test clients PiperOrigin-RevId: 963617932 --- google/genai/tests/conftest.py | 41 ++++++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) diff --git a/google/genai/tests/conftest.py b/google/genai/tests/conftest.py index f147858fc..8f172d6d0 100644 --- a/google/genai/tests/conftest.py +++ b/google/genai/tests/conftest.py @@ -25,6 +25,42 @@ from .. import _common from .. import _replay_api_client from .. import client as google_genai_client_module +from .. import types + + +# Retry options for the shared integration tests, applied to every request the +# test client makes so that a transient 5xx or 429 does not fail the nightly. +# +# Deliberately shorter than the SDK defaults: a multistep test retries per +# request, so the backoff has to stay well inside the test timeout. Keep aligned with +# the shared test clients in the other SDKs. +_SHARED_TEST_RETRY_OPTIONS = types.HttpRetryOptions( + attempts=3, + initial_delay=1.0, + max_delay=10.0, + exp_base=2.0, + http_status_codes=[408, 429, 500, 502, 503, 504], +) + + +def _is_shared_integration_test(request): + """True only for the curated cross-SDK suite under tests/shared.""" + return 'shared' in os.fspath(request.path).split(os.sep) + + +def _with_shared_test_retry_options(http_options): + """Adds the shared retry options, leaving any caller-supplied ones alone.""" + if http_options is None: + return types.HttpOptions(retry_options=_SHARED_TEST_RETRY_OPTIONS) + if isinstance(http_options, dict): + if http_options.get('retry_options') or http_options.get('retryOptions'): + return http_options + return {**http_options, 'retry_options': _SHARED_TEST_RETRY_OPTIONS} + if getattr(http_options, 'retry_options', None): + return http_options + return http_options.model_copy( + update={'retry_options': _SHARED_TEST_RETRY_OPTIONS} + ) def pytest_addoption(parser): @@ -140,6 +176,11 @@ def client(use_vertex, replays_prefix, http_options, request): if os.environ.get('GOOGLE_CLOUD_LOCATION') == 'global': location_override = 'us-central1' + # Scoped to the shared suite rather than all of api mode, so no other test's + # behaviour changes. + if mode == 'api' and _is_shared_integration_test(request): + http_options = _with_shared_test_retry_options(http_options) + replay_client = _replay_api_client.ReplayApiClient( mode=mode, replay_id=replay_id, From 4272f27241b581b844c38f911fe0be9b5124b545 Mon Sep 17 00:00:00 2001 From: Mark Daoust Date: Wed, 12 Aug 2026 15:09:36 -0700 Subject: [PATCH 15/19] chore: allow httpx2 in GAOS Python SDK PiperOrigin-RevId: 963683767 --- google/genai/_gaos/basesdk.py | 15 +- google/genai/_gaos/lib/compat_errors.py | 26 +- google/genai/_gaos/utils/retries.py | 15 +- .../tests/interactions/test_httpx_compat.py | 253 ++++++++++++++++++ 4 files changed, 302 insertions(+), 7 deletions(-) create mode 100644 google/genai/tests/interactions/test_httpx_compat.py diff --git a/google/genai/_gaos/basesdk.py b/google/genai/_gaos/basesdk.py index 7c8497f24..2a2fa7292 100644 --- a/google/genai/_gaos/basesdk.py +++ b/google/genai/_gaos/basesdk.py @@ -26,6 +26,17 @@ from .sdkconfiguration import SDKConfiguration from .utils import RetryConfig, SerializedRequestBody, get_body_content import httpx + +try: + import httpx2 +except ImportError: + httpx2 = None + +_HTTPX_TIMEOUT_TYPES = ( + (httpx.Timeout,) + if httpx2 is None + else (httpx.Timeout, httpx2.Timeout) +) from typing import Any, Callable, List, Mapping, Optional, Tuple from urllib.parse import parse_qs, urlparse @@ -62,7 +73,7 @@ def _coerce_timeout_ms(self, timeout: Optional[Any]) -> Optional[int]: return None if isinstance(timeout, (int, float)): return int(timeout * 1000) - if isinstance(timeout, httpx.Timeout): + if isinstance(timeout, _HTTPX_TIMEOUT_TYPES): values = [timeout.connect, timeout.read, timeout.write, timeout.pool] finite_values = [value for value in values if value is not None] if not finite_values: @@ -329,7 +340,7 @@ def _coerce_timeout_ms(self, timeout: Optional[Any]) -> Optional[int]: return None if isinstance(timeout, (int, float)): return int(timeout * 1000) - if isinstance(timeout, httpx.Timeout): + if isinstance(timeout, _HTTPX_TIMEOUT_TYPES): values = [timeout.connect, timeout.read, timeout.write, timeout.pool] finite_values = [value for value in values if value is not None] if not finite_values: diff --git a/google/genai/_gaos/lib/compat_errors.py b/google/genai/_gaos/lib/compat_errors.py index a9de44ede..970564c43 100644 --- a/google/genai/_gaos/lib/compat_errors.py +++ b/google/genai/_gaos/lib/compat_errors.py @@ -28,8 +28,24 @@ import json from typing import Any, Awaitable, Callable, Optional, TypeVar, cast +try: + import httpx2 +except ImportError: + httpx2 = None + import httpx +_HTTPX_TIMEOUT_ERRORS = ( + (httpx.TimeoutException,) + if httpx2 is None + else (httpx.TimeoutException, httpx2.TimeoutException) +) +_HTTPX_HTTP_ERRORS = ( + (httpx.HTTPError,) + if httpx2 is None + else (httpx.HTTPError, httpx2.HTTPError) +) + from ..errors.genaierror import GenAiError from ..errors.no_response_error import NoResponseError from ..errors.responsevalidationerror import ResponseValidationError @@ -271,7 +287,7 @@ def _wrap_httpx_error(error: BaseException) -> APIConnectionError: tolerates the edge case rather than fabricating a misleading stand-in. """ request = getattr(error, "_request", None) - if isinstance(error, httpx.TimeoutException): + if isinstance(error, _HTTPX_TIMEOUT_ERRORS): wrapped: APIConnectionError = APITimeoutError(request=request) # type: ignore[arg-type] else: wrapped = APIConnectionError( @@ -300,7 +316,7 @@ def wrap_sdk_error(error: BaseException) -> BaseException: return _wrap_validation_error(error) if isinstance(error, NoResponseError): return _wrap_no_response_error(error) - if isinstance(error, httpx.HTTPError): + if isinstance(error, _HTTPX_HTTP_ERRORS): return _wrap_httpx_error(error) if not isinstance(error, GenAiError): return error @@ -317,7 +333,11 @@ def wrap_sdk_error(error: BaseException) -> BaseException: return wrapped -_WRAP_EXCEPTIONS = (GenAiError, NoResponseError, httpx.HTTPError) +_WRAP_EXCEPTIONS = ( + (GenAiError, NoResponseError, httpx.HTTPError) + if httpx2 is None + else (GenAiError, NoResponseError, httpx.HTTPError, httpx2.HTTPError) +) class CompatErrorHook: diff --git a/google/genai/_gaos/utils/retries.py b/google/genai/_gaos/utils/retries.py index 152733c87..68ab8bca4 100644 --- a/google/genai/_gaos/utils/retries.py +++ b/google/genai/_gaos/utils/retries.py @@ -25,6 +25,17 @@ import httpx +try: + import httpx2 +except ImportError: + httpx2 = None + +_RETRY_EXCEPTIONS = ( + (httpx.NetworkError, httpx.TimeoutException) + if httpx2 is None + else (httpx.NetworkError, httpx.TimeoutException, httpx2.NetworkError, httpx2.TimeoutException) +) + class BackoffStrategy: """Exponential backoff strategy configuration.""" @@ -236,7 +247,7 @@ def do_request(attempt: int) -> httpx.Response: if should_retry: raise TemporaryError(res) - except (httpx.NetworkError, httpx.TimeoutException) as exception: + except _RETRY_EXCEPTIONS as exception: if retries.config.retry_connection_errors: raise @@ -296,7 +307,7 @@ async def do_request(attempt: int) -> httpx.Response: if should_retry: raise TemporaryError(res) - except (httpx.NetworkError, httpx.TimeoutException) as exception: + except _RETRY_EXCEPTIONS as exception: if retries.config.retry_connection_errors: raise diff --git a/google/genai/tests/interactions/test_httpx_compat.py b/google/genai/tests/interactions/test_httpx_compat.py new file mode 100644 index 000000000..ddf931ead --- /dev/null +++ b/google/genai/tests/interactions/test_httpx_compat.py @@ -0,0 +1,253 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Tests for httpx and httpx2 compatibility across the GAOS client.""" + +import httpx +import pytest + +try: + import httpx2 +except ImportError: + httpx2 = None + +from ... import client as client_lib +from ..._gaos.basesdk import AsyncBaseSDK, BaseSDK +from ..._gaos.httpclient import AsyncHttpClient, HttpClient +from ..._gaos.lib import compat_errors +from ..._gaos.utils import eventstreaming, retries + + +# --- Standard httpx tests --- + + +def test_error_wrapping_httpx_errors(): + req = httpx.Request("GET", "https://example.com") + err = httpx.ConnectError("failed to connect", request=req) + wrapped = compat_errors.wrap_sdk_error(err) + assert isinstance(wrapped, compat_errors.APIConnectionError) + assert wrapped.__cause__ is err + + timeout_err = httpx.TimeoutException("timed out", request=req) + wrapped_timeout = compat_errors.wrap_sdk_error(timeout_err) + assert isinstance(wrapped_timeout, compat_errors.APITimeoutError) + assert wrapped_timeout.__cause__ is timeout_err + + +def test_base_sdk_timeout_coercion(): + sdk = BaseSDK.__new__(BaseSDK) + + assert sdk._coerce_timeout_ms(None) is None + assert sdk._coerce_timeout_ms(5) == 5000 + assert sdk._coerce_timeout_ms(2.5) == 2500 + assert ( + sdk._coerce_timeout_ms( + httpx.Timeout(connect=1.0, read=4.0, write=2.0, pool=None) + ) + == 4000 + ) + + with pytest.raises( + TypeError, match="timeout must be a float, int, httpx.Timeout, or None" + ): + sdk._coerce_timeout_ms("invalid_timeout") + + +def test_injected_client_passed_to_gaos(): + http_client = httpx.Client() + try: + client = client_lib.Client( + api_key="fake-key", + http_options={"httpx_client": http_client}, + ) + + assert client._api_client._httpx_client is http_client + interactions_client = client.interactions + assert interactions_client.sdk_configuration.client is http_client + finally: + http_client.close() + + +def test_stream_error_wrapping_httpx_errors(): + def failing_gen(): + yield "chunk1" + raise httpx.ConnectError("stream network broken") + + stream = eventstreaming.Stream.__new__(eventstreaming.Stream) + stream.generator = failing_gen() + wrapped_stream = compat_errors.wrap_stream_errors(stream) + + gen = wrapped_stream.generator + assert next(gen) == "chunk1" + with pytest.raises(compat_errors.APIConnectionError) as exc_info: + next(gen) + assert "stream network broken" in str(exc_info.value) + + +@pytest.mark.asyncio +async def test_async_stream_error_wrapping_httpx_errors(): + async def failing_agen(): + yield "async_chunk1" + raise httpx.ConnectError("async stream network broken") + + stream = eventstreaming.AsyncStream.__new__(eventstreaming.AsyncStream) + stream.generator = failing_agen() + wrapped_stream = compat_errors.wrap_async_stream_errors(stream) + + agen = wrapped_stream.generator + chunk = await agen.__anext__() + assert chunk == "async_chunk1" + with pytest.raises(compat_errors.APIConnectionError) as exc_info: + await agen.__anext__() + assert "async stream network broken" in str(exc_info.value) + + +# --- httpx2 tests (run in CI when httpx2 is installed) --- + + +@pytest.mark.skipif( + httpx2 is None, reason="httpx2 not installed in this environment" +) +def test_httpx2_error_wrapping(): + req = httpx2.Request("GET", "https://example.com") + err = httpx2.ConnectError("failed to connect", request=req) + wrapped = compat_errors.wrap_sdk_error(err) + assert isinstance(wrapped, compat_errors.APIConnectionError) + assert wrapped.__cause__ is err + + timeout_err = httpx2.TimeoutException("timed out", request=req) + wrapped_timeout = compat_errors.wrap_sdk_error(timeout_err) + assert isinstance(wrapped_timeout, compat_errors.APITimeoutError) + assert wrapped_timeout.__cause__ is timeout_err + + +@pytest.mark.skipif( + httpx2 is None, reason="httpx2 not installed in this environment" +) +def test_httpx2_timeout_coercion(): + sdk = BaseSDK.__new__(BaseSDK) + timeout = httpx2.Timeout(connect=1.0, read=4.0, write=2.0, pool=None) + assert sdk._coerce_timeout_ms(timeout) == 4000 + + async_sdk = AsyncBaseSDK.__new__(AsyncBaseSDK) + assert async_sdk._coerce_timeout_ms(timeout) == 4000 + + +@pytest.mark.skipif( + httpx2 is None, reason="httpx2 not installed in this environment" +) +def test_httpx2_client_protocols(): + assert issubclass(httpx2.Client, HttpClient) + assert issubclass(httpx2.AsyncClient, AsyncHttpClient) + + +@pytest.mark.skipif( + httpx2 is None, reason="httpx2 not installed in this environment" +) +def test_httpx2_retries(): + attempts = 0 + + def flaky_operation(_attempt): + nonlocal attempts + attempts += 1 + if attempts < 3: + raise httpx2.NetworkError("temporary network error") + return httpx2.Response(200, json={"status": "ok"}) + + config = retries.RetryConfig( + strategy="attempt-count-backoff", + retry_connection_errors=True, + backoff=retries.BackoffStrategy( + initial_interval=1, + max_interval=5, + exponent=1.1, + max_elapsed_time=100, + ), + max_retries=3, + ) + res = retries.retry(flaky_operation, retries.Retries(config, ["5XX"])) + assert res.status_code == 200 + assert attempts == 3 + + +@pytest.mark.skipif( + httpx2 is None, reason="httpx2 not installed in this environment" +) +@pytest.mark.asyncio +async def test_httpx2_async_retries(): + attempts = 0 + + async def flaky_async_operation(_attempt): + nonlocal attempts + attempts += 1 + if attempts < 3: + raise httpx2.NetworkError("temporary async network error") + return httpx2.Response(200, json={"status": "ok"}) + + config = retries.RetryConfig( + strategy="attempt-count-backoff", + retry_connection_errors=True, + backoff=retries.BackoffStrategy( + initial_interval=1, + max_interval=5, + exponent=1.1, + max_elapsed_time=100, + ), + max_retries=3, + ) + res = await retries.retry_async( + flaky_async_operation, retries.Retries(config, ["5XX"]) + ) + assert res.status_code == 200 + assert attempts == 3 + + +@pytest.mark.skipif( + httpx2 is None, reason="httpx2 not installed in this environment" +) +def test_httpx2_stream_error_wrapping(): + def failing_gen(): + yield "chunk1" + raise httpx2.ConnectError("stream network broken") + + stream = eventstreaming.Stream.__new__(eventstreaming.Stream) + stream.generator = failing_gen() + wrapped_stream = compat_errors.wrap_stream_errors(stream) + + gen = wrapped_stream.generator + assert next(gen) == "chunk1" + with pytest.raises(compat_errors.APIConnectionError) as exc_info: + next(gen) + assert "stream network broken" in str(exc_info.value) + + +@pytest.mark.skipif( + httpx2 is None, reason="httpx2 not installed in this environment" +) +@pytest.mark.asyncio +async def test_httpx2_async_stream_error_wrapping(): + async def failing_agen(): + yield "async_chunk1" + raise httpx2.ConnectError("async stream network broken") + + stream = eventstreaming.AsyncStream.__new__(eventstreaming.AsyncStream) + stream.generator = failing_agen() + wrapped_stream = compat_errors.wrap_async_stream_errors(stream) + + agen = wrapped_stream.generator + chunk = await agen.__anext__() + assert chunk == "async_chunk1" + with pytest.raises(compat_errors.APIConnectionError) as exc_info: + await agen.__anext__() + assert "async stream network broken" in str(exc_info.value) From ce444c61c1cf4a4d320822cb0c4c71ce99cb9cab Mon Sep 17 00:00:00 2001 From: Google Team Member Date: Wed, 12 Aug 2026 15:51:40 -0700 Subject: [PATCH 16/19] chore: drop unused auth imports from the MCP utils module PiperOrigin-RevId: 963703979 --- google/genai/_mcp_utils.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/google/genai/_mcp_utils.py b/google/genai/_mcp_utils.py index 106f385c4..f8043e2b8 100644 --- a/google/genai/_mcp_utils.py +++ b/google/genai/_mcp_utils.py @@ -27,9 +27,6 @@ import typing from typing import Any -import google.auth -from google.auth.transport.requests import Request - from . import _common from . import types from ._api_client import _MULTI_REGIONAL_LOCATIONS From fe6118e3c7a9e83406bc722e34b7efca75f1ef13 Mon Sep 17 00:00:00 2001 From: Yvonne Yu Date: Wed, 12 Aug 2026 16:14:52 -0700 Subject: [PATCH 17/19] fix: improve AFC(automatic function calling) in chat including fixing bugs in AFC for generate_content_stream. also log warnings in generate_content, generate_content_stream and their async variants that AFC is meant to be used in chat experience, not directly in models module. PiperOrigin-RevId: 963715749 --- google/genai/_extra_utils.py | 32 +- google/genai/_mcp_utils.py | 2 + google/genai/chats.py | 799 +++++++++++++++--- google/genai/models.py | 274 ++---- .../afc/test_generate_content_stream_afc.py | 36 +- .../genai/tests/afc/test_get_function_map.py | 8 +- .../afc/test_get_function_response_parts.py | 65 +- .../tests/afc/test_should_disable_afc.py | 7 - google/genai/tests/chats/test_get_history.py | 85 -- google/genai/tests/chats/test_send_message.py | 4 - .../models/test_function_call_streaming.py | 8 - .../tests/models/test_generate_content.py | 4 - .../tests/models/test_generate_content_mcp.py | 12 +- .../models/test_generate_content_tools.py | 234 ++--- google/genai/tests/private/__init__.py | 17 - .../private/test_send_message_private.py | 250 ------ .../test_send_message_stream_private.py | 273 ------ google/genai/tests/pytest_helper.py | 9 + google/genai/types.py | 5 +- 19 files changed, 954 insertions(+), 1170 deletions(-) delete mode 100644 google/genai/tests/private/__init__.py delete mode 100644 google/genai/tests/private/test_send_message_private.py delete mode 100644 google/genai/tests/private/test_send_message_stream_private.py diff --git a/google/genai/_extra_utils.py b/google/genai/_extra_utils.py index bb2c901d3..98a75748e 100644 --- a/google/genai/_extra_utils.py +++ b/google/genai/_extra_utils.py @@ -142,6 +142,33 @@ def find_afc_incompatible_tool_indexes( return incompatible_tools_indexes +def log_afc_incompatible_tools_warning( + config: Optional[types.GenerateContentConfigOrDict], + incompatible_tools_indexes: list[int], +) -> None: + """Logs a warning if any tools are incompatible with automatic function calling.""" + if not incompatible_tools_indexes: + return + original_tools_length = 0 + if isinstance(config, types.GenerateContentConfig): + if config.tools: + original_tools_length = len(config.tools) + elif isinstance(config, dict): + tools = config.get('tools', []) + if tools: + original_tools_length = len(tools) + if len(incompatible_tools_indexes) != original_tools_length: + indices_str = ', '.join(map(str, incompatible_tools_indexes)) + logger.warning( + 'Tools at indices [%s] are not compatible with automatic function ' + 'calling (AFC). AFC is disabled. If AFC is intended, please ' + 'include python callables in the tool list, and do not include ' + 'function declaration and MCP server in the tool list.', + indices_str, + ) + + + def get_function_map( config: Optional[types.GenerateContentConfigOrDict] = None, mcp_to_genai_tool_adapters: Optional[ @@ -389,11 +416,12 @@ async def get_function_response_parts_async( mcp_tool_response = await func.call_tool( types.FunctionCall(name=func_name, args=args) ) - if getattr( + is_error = getattr( mcp_tool_response, 'is_error', getattr(mcp_tool_response, 'isError', False), - ): + ) + if is_error: func_response = {'error': mcp_tool_response} else: func_response = {'result': mcp_tool_response} diff --git a/google/genai/_mcp_utils.py b/google/genai/_mcp_utils.py index f8043e2b8..24ba79804 100644 --- a/google/genai/_mcp_utils.py +++ b/google/genai/_mcp_utils.py @@ -47,6 +47,7 @@ def _is_mcp_loaded() -> bool: def mcp_to_gemini_tool(tool: McpTool) -> types.Tool: """Translates an MCP tool to a Google GenAI tool.""" + input_schema = getattr(tool, "inputSchema", getattr(tool, "input_schema", {})) return types.Tool( function_declarations=[{ "name": tool.name, @@ -66,6 +67,7 @@ def mcp_to_gemini_tool(tool: McpTool) -> types.Tool: def agent_platform_to_gemini_tool(tool: McpTool) -> types.Tool: """Translates an Agent Platform tool to a Google GenAI tool.""" + input_schema = getattr(tool, "inputSchema", getattr(tool, "input_schema", {})) return types.Tool( function_declarations=[{ "name": tool.name, diff --git a/google/genai/chats.py b/google/genai/chats.py index 8ab765db0..be10298bc 100644 --- a/google/genai/chats.py +++ b/google/genai/chats.py @@ -14,12 +14,16 @@ # from collections.abc import Iterator +import contextlib +import logging import sys -from typing import AsyncIterator, Awaitable, Optional, Union, get_args +from typing import Any, AsyncIterator, Optional, Union, get_args from . import _extra_utils +from . import _mcp_utils from . import _transformers as t +from . import errors from . import types from .models import AsyncModels, Models from .types import Content, ContentOrDict, GenerateContentConfigOrDict, GenerateContentResponse, Part, PartUnionDict @@ -30,6 +34,7 @@ else: from typing_extensions import TypeGuard +logger = logging.getLogger("google_genai.chats") def _validate_content(content: Content) -> bool: if not content.parts: @@ -136,7 +141,6 @@ def record_history( self, user_input: Content, model_output: list[Content], - automatic_function_calling_history: list[Content], is_valid: bool, ) -> None: """Records the chat history. @@ -147,20 +151,10 @@ def record_history( user_input: The user's input content. model_output: A list of `Content` from the model's response. This can be an empty list if the model produced no output. - automatic_function_calling_history: A list of `Content` representing the - history of automatic function calls, including the user input as the - first entry. is_valid: A boolean flag indicating whether the current model output is considered valid. """ - input_contents = ( - # Because the AFC input contains the entire curated chat history in - # addition to the new user input, we need to truncate the AFC history - # to deduplicate the existing chat history. - automatic_function_calling_history[len(self._curated_history) :] - if automatic_function_calling_history - else [user_input] - ) + input_contents = [user_input] # Appends an empty content when model returns empty response, so that the # history is always alternating between user and model. output_contents = ( @@ -252,34 +246,138 @@ def send_message( f"Message must be a valid part type: {types.PartUnion} or" f" {types.PartUnionDict}, got {type(message)}" ) - input_content = t.t_content(message) method_config = config if config else self._config method_config = _extra_utils.get_usage_header( method_config, types.GenerateContentConfig, usage="chat" # type: ignore[arg-type] ) - response = self._modules.generate_content( - model=self._model, - contents=self._curated_history + [input_content], # type: ignore[arg-type] - config=method_config, + parsed_config = _extra_utils.parse_config_for_mcp_usage(method_config) + if ( + parsed_config + and parsed_config.tools + and _mcp_utils.has_mcp_session_usage(parsed_config.tools) + ): + raise errors.UnsupportedFunctionError( + "MCP sessions are not supported in synchronous methods." + ) + incompatible_tools_indexes = ( + _extra_utils.find_afc_incompatible_tool_indexes(method_config) ) + user_input = t.t_content(message) + contents_to_model = self._curated_history + [user_input] # type: ignore[arg-type] + if _extra_utils.should_disable_afc(method_config): + response = self._modules.generate_content( + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=parsed_config, + ) + model_output = ( + [response.candidates[0].content] + if response.candidates and response.candidates[0].content + else [] + ) + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=_validate_response(response), + ) + return response + + if incompatible_tools_indexes: + _extra_utils.log_afc_incompatible_tools_warning( + method_config, incompatible_tools_indexes + ) + + if parsed_config: + parsed_config.automatic_function_calling = ( + types.AutomaticFunctionCallingConfig(disable=True) + ) + response = self._modules.generate_content( + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=parsed_config, + ) + model_output = ( + [response.candidates[0].content] + if response.candidates and response.candidates[0].content + else [] + ) + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=_validate_response(response), + ) + return response + # AFC handling + remaining_remote_calls_afc = _extra_utils.get_max_remote_calls_afc( + parsed_config + ) + # Because we cannot remove automatic_function_calling from the + # GenerateContentConfig, we set it to None to disable it + if parsed_config: + parsed_config.automatic_function_calling = ( + types.AutomaticFunctionCallingConfig(disable=True) + ) + logger.info( + f"AFC is enabled with max remote calls: {remaining_remote_calls_afc}." + ) + parsed_config = _extra_utils.get_usage_header( + parsed_config, types.GenerateContentConfig, usage='afc' # type: ignore[arg-type] + ) + response = types.GenerateContentResponse() + function_map = _extra_utils.get_function_map(parsed_config) + i = 0 + while remaining_remote_calls_afc > 0: + i += 1 + response = self._modules.generate_content( + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=parsed_config, + ) + if ( + not function_map + or not response + or not response.candidates + or not response.candidates[0].content + or not response.candidates[0].content.parts + ): + break + + func_response_parts = _extra_utils.get_function_response_parts( + response, function_map + ) + if not func_response_parts: + break + logger.info(f"AFC remote call {i} is done.") + remaining_remote_calls_afc -= 1 + if remaining_remote_calls_afc == 0: + logger.info("Reached max remote calls for automatic function calling.") + func_call_content = response.candidates[0].content + func_response_content = types.Content( + role="user", parts=func_response_parts + ) + contents_to_model.append(func_call_content) + contents_to_model.append(func_response_content) + model_output = [func_call_content] + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=_validate_response(response), + ) + user_input = func_response_content + model_output = ( [response.candidates[0].content] if response.candidates and response.candidates[0].content else [] ) - automatic_function_calling_history = ( - response.automatic_function_calling_history - if response.automatic_function_calling_history - else [] - ) self.record_history( - user_input=input_content, + user_input=user_input, model_output=model_output, - automatic_function_calling_history=automatic_function_calling_history, is_valid=_validate_response(response), ) return response + def send_message_stream( self, message: Union[list[PartUnionDict], PartUnionDict], @@ -304,45 +402,154 @@ def send_message_stream( print(chunk.text) """ + method_config = config if config else self._config + method_config = _extra_utils.get_usage_header( + method_config, types.GenerateContentConfig, usage="chat" # type: ignore[arg-type] + ) + parsed_config = _extra_utils.parse_config_for_mcp_usage(method_config) + if ( + parsed_config + and parsed_config.tools + and _mcp_utils.has_mcp_session_usage(parsed_config.tools) + ): + raise errors.UnsupportedFunctionError( + "MCP sessions are not supported in synchronous methods." + ) if not _is_part_type(message): raise ValueError( f"Message must be a valid part type: {types.PartUnion} or" f" {types.PartUnionDict}, got {type(message)}" ) - input_content = t.t_content(message) - output_contents = [] + incompatible_tools_indexes = ( + _extra_utils.find_afc_incompatible_tool_indexes(method_config) + ) + user_input = t.t_content(message) + contents_to_model = self._curated_history + [user_input] # type: ignore[arg-type] + model_output = [] finish_reason = None is_valid = True chunk = None - method_config = config if config else self._config - method_config = _extra_utils.get_usage_header( - method_config, types.GenerateContentConfig, usage="chat" # type: ignore[arg-type] + disable_afc = _extra_utils.should_disable_afc(method_config) + if not disable_afc and incompatible_tools_indexes: + _extra_utils.log_afc_incompatible_tools_warning( + method_config, incompatible_tools_indexes + ) + if parsed_config: + parsed_config.automatic_function_calling = ( + types.AutomaticFunctionCallingConfig(disable=True) + ) + disable_afc = True + + if disable_afc: + if isinstance(self._modules, Models): + for chunk in self._modules.generate_content_stream( + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=parsed_config, + ): + if not _validate_response(chunk): + is_valid = False + if chunk.candidates and chunk.candidates[0].content: + model_output.append(chunk.candidates[0].content) + if chunk.candidates and chunk.candidates[0].finish_reason: + finish_reason = chunk.candidates[0].finish_reason + yield chunk + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=is_valid + and model_output is not None + and finish_reason is not None, + ) + return + + # AFC handling + remaining_remote_calls_afc = _extra_utils.get_max_remote_calls_afc( + parsed_config ) - if isinstance(self._modules, Models): - for chunk in self._modules.generate_content_stream( - model=self._model, - contents=self._curated_history + [input_content], # type: ignore[arg-type] - config=method_config, - ): - if not _validate_response(chunk): - is_valid = False - if chunk.candidates and chunk.candidates[0].content: - output_contents.append(chunk.candidates[0].content) - if chunk.candidates and chunk.candidates[0].finish_reason: - finish_reason = chunk.candidates[0].finish_reason - yield chunk - automatic_function_calling_history = ( - chunk.automatic_function_calling_history - if chunk is not None and chunk.automatic_function_calling_history - else [] + # Because we cannot remove automatic_function_calling from the + # GenerateContentConfig, we set it to None to disable it + if parsed_config: + parsed_config.automatic_function_calling = ( + types.AutomaticFunctionCallingConfig(disable=True) ) + parsed_config = _extra_utils.get_usage_header( + parsed_config, types.GenerateContentConfig, usage="afc" # type: ignore[arg-type] + ) + logger.info( + f"AFC is enabled with max remote calls: {remaining_remote_calls_afc}." + ) + function_map = _extra_utils.get_function_map(parsed_config) + i = 0 + if isinstance(self._modules, Models): + while remaining_remote_calls_afc > 0: + i += 1 + response_stream = self._modules.generate_content_stream( + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=parsed_config, + ) + + model_output = [] + finish_reason = None + is_valid = True + func_response_parts = [] + chunk = None + + for chunk in response_stream: + if not _validate_response(chunk): + is_valid = False + + if ( + function_map + and chunk.candidates + and chunk.candidates[0].content + and chunk.candidates[0].content.parts + ): + chunk_func_response_parts = ( + _extra_utils.get_function_response_parts(chunk, function_map) + ) + if chunk_func_response_parts: + func_response_parts.extend(chunk_func_response_parts) + + if chunk.candidates and chunk.candidates[0].content: + model_output.append(chunk.candidates[0].content) + if chunk.candidates and chunk.candidates[0].finish_reason: + finish_reason = chunk.candidates[0].finish_reason + yield chunk + + if not function_map or not func_response_parts: + break + + logger.info(f"AFC remote call {i} is done.") + remaining_remote_calls_afc -= 1 + if remaining_remote_calls_afc == 0: + logger.info( + "Reached max remote calls for automatic function calling." + ) + + if chunk and chunk.candidates and chunk.candidates[0].content: + func_response_content = types.Content( + role="user", parts=func_response_parts + ) + contents_to_model.extend(model_output) + contents_to_model.append(func_response_content) + + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=is_valid, + ) + user_input = func_response_content + self.record_history( - user_input=input_content, - model_output=output_contents, - automatic_function_calling_history=automatic_function_calling_history, - is_valid=is_valid - and output_contents is not None - and finish_reason is not None, + user_input=user_input, + model_output=model_output, + is_valid=bool( + is_valid + and model_output is not None + and finish_reason is not None + ), ) @@ -417,38 +624,227 @@ async def send_message( chat = client.aio.chats.create(model='gemini-2.0-flash') response = await chat.send_message('tell me a story') """ + method_config = config if config else self._config + method_config = _extra_utils.get_usage_header( + method_config, # type: ignore[arg-type] + types.GenerateContentConfig, + usage="chat", + ) if not _is_part_type(message): raise ValueError( f"Message must be a valid part type: {types.PartUnion} or" f" {types.PartUnionDict}, got {type(message)}" ) - input_content = t.t_content(message) - method_config = config if config else self._config - method_config = _extra_utils.get_usage_header( - method_config, types.GenerateContentConfig, usage="chat" # type: ignore[arg-type] - ) - response = await self._modules.generate_content( - model=self._model, - contents=self._curated_history + [input_content], # type: ignore[arg-type] - config=method_config, - ) - model_output = ( - [response.candidates[0].content] - if response.candidates and response.candidates[0].content - else [] - ) - automatic_function_calling_history = ( - response.automatic_function_calling_history - if response.automatic_function_calling_history - else [] + + user_input = t.t_content(message) + contents_to_model = self._curated_history + [user_input] # type: ignore[arg-type] + + if _extra_utils.should_disable_afc(method_config): + response = await self._modules.generate_content( + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=method_config, + ) + model_output = ( + [response.candidates[0].content] + if response.candidates and response.candidates[0].content + else [] + ) + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=_validate_response(response), + ) + return response + + incompatible_tools_indexes = ( + _extra_utils.find_afc_incompatible_tool_indexes( + method_config, + is_agent_platform=getattr( + self._modules._api_client, "vertexai", False + ), + ) ) - self.record_history( - user_input=input_content, - model_output=model_output, - automatic_function_calling_history=automatic_function_calling_history, - is_valid=_validate_response(response), + + if not method_config: + parsed_config = None + elif isinstance(method_config, dict): + parsed_config = types.GenerateContentConfig(**method_config) + else: + parsed_config = method_config.model_copy(deep=True) + + if incompatible_tools_indexes: + _extra_utils.log_afc_incompatible_tools_warning( + method_config, incompatible_tools_indexes + ) + + if parsed_config: + parsed_config.automatic_function_calling = ( + types.AutomaticFunctionCallingConfig(disable=True) + ) + response = await self._modules.generate_content( + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=parsed_config, + ) + model_output = ( + [response.candidates[0].content] + if response.candidates and response.candidates[0].content + else [] + ) + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=_validate_response(response), + ) + return response + + # AFC handling + parsed_config = _extra_utils.get_usage_header( + parsed_config, # type: ignore[arg-type] + types.GenerateContentConfig, + usage="afc", ) - return response + async with contextlib.AsyncExitStack() as stack: + # Intercept Agent Platform MCP servers and open connections + if ( + self._modules._api_client.vertexai + and _extra_utils.has_agent_platform_mcp_servers(parsed_config) + and parsed_config is not None + ): + new_tools: list[Any] = [] + if parsed_config.tools: + for tool in parsed_config.tools: + if isinstance(tool, types.Tool) and tool.mcp_servers: + # Only keep the tool if it has fields besides mcp_servers + if ( + tool.function_declarations + or tool.google_search + or tool.retrieval + or tool.google_search_retrieval + or tool.code_execution + ): + tool_copy = tool.model_copy(update={'mcp_servers': None}) + new_tools.append(tool_copy) + + for server in tool.mcp_servers: + if ( + getattr(server, 'streamable_http_transport', None) + is not None + ): + raise ValueError( + "The 'streamable_http_transport' parameter is only" + ' supported in Gemini Developer API mode, not in Gemini' + ' Enterprise Agent Platform mode.' + ) + + # Open the stream and tie its lifespan to the AsyncExitStack + if server.name is not None: + session = await stack.enter_async_context( + _mcp_utils._connect_agent_platform_mcp( + self._modules._api_client, server.name + ) + ) + new_tools.append(session) + else: + raise ValueError( + "Agent Platform MCP servers require a 'name' field." + ) + else: + new_tools.append(tool) + parsed_config.tools = new_tools + + # Convert active sessions to tools and adapters + final_parsed_config, mcp_to_genai_tool_adapters = ( + await _extra_utils.parse_config_for_mcp_sessions( + parsed_config, + is_agent_platform=getattr( + self._modules._api_client, "vertexai", False + ), + ) + ) + + remaining_remote_calls_afc = _extra_utils.get_max_remote_calls_afc( + final_parsed_config + ) + if final_parsed_config: + final_parsed_config.automatic_function_calling = ( + types.AutomaticFunctionCallingConfig( + disable=True, + ) + ) + + logger.info( + f"AFC is enabled with max remote calls: {remaining_remote_calls_afc}." + ) + + response = types.GenerateContentResponse() + function_map = _extra_utils.get_function_map( + final_parsed_config, + mcp_to_genai_tool_adapters, + is_caller_method_async=True, + ) + + i = 0 + while remaining_remote_calls_afc > 0: + i += 1 + response = await self._modules.generate_content( + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=final_parsed_config, + ) + if ( + not function_map + or not response + or not response.candidates + or not response.candidates[0].content + or not response.candidates[0].content.parts + ): + break + + func_response_parts = ( + await _extra_utils.get_function_response_parts_async( + response, function_map + ) + ) + if not func_response_parts: + break + + logger.info(f"AFC remote call {i} is done.") + remaining_remote_calls_afc -= 1 + if remaining_remote_calls_afc == 0: + logger.info( + "Reached max remote calls for automatic function calling." + ) + + func_call_content = response.candidates[0].content + func_response_content = types.Content( + role="user", parts=func_response_parts + ) + + contents_to_model.append(func_call_content) + contents_to_model.append(func_response_content) + + model_output = [func_call_content] + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=_validate_response(response), + ) + user_input = func_response_content + + model_output = ( + [response.candidates[0].content] + if response.candidates and response.candidates[0].content + else [] + ) + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=_validate_response(response), + ) + return response + async def send_message_stream( self, @@ -481,40 +877,227 @@ async def send_message_stream( ) input_content = t.t_content(message) - method_config = config if config else self._config - method_config = _extra_utils.get_usage_header( - method_config, types.GenerateContentConfig, usage="chat" # type: ignore[arg-type] - ) - async def async_generator(): # type: ignore[no-untyped-def] - output_contents = [] - finish_reason = None - is_valid = True - chunk = None - async for chunk in await self._modules.generate_content_stream( # type: ignore[attr-defined] - model=self._model, - contents=self._curated_history + [input_content], # type: ignore[arg-type] - config=method_config, - ): - if not _validate_response(chunk): + method_config = config if config else self._config + method_config = _extra_utils.get_usage_header( + method_config, # type: ignore[arg-type] + types.GenerateContentConfig, + usage="chat", + ) + parsed_config = _extra_utils.parse_config_for_mcp_usage(method_config) + disable_afc = _extra_utils.should_disable_afc(method_config) + incompatible_tools_indexes = ( + _extra_utils.find_afc_incompatible_tool_indexes( + method_config, + is_agent_platform=getattr( + self._modules._api_client, "vertexai", False + ), + ) + ) + user_input = input_content + contents_to_model = self._curated_history + [user_input] # type: ignore[arg-type] + if not disable_afc and incompatible_tools_indexes: + _extra_utils.log_afc_incompatible_tools_warning( + method_config, incompatible_tools_indexes + ) + if parsed_config: + parsed_config.automatic_function_calling = ( + types.AutomaticFunctionCallingConfig( + disable=True, + ) + ) + disable_afc = True + + if disable_afc: + output_contents = [] + finish_reason = None + is_valid = True + chunk = None + async for chunk in await self._modules.generate_content_stream( # type: ignore[attr-defined] + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=parsed_config, + ): + if not _validate_response(chunk): + is_valid = False + if chunk.candidates and chunk.candidates[0].content: + output_contents.append(chunk.candidates[0].content) + if chunk.candidates and chunk.candidates[0].finish_reason: + finish_reason = chunk.candidates[0].finish_reason + yield chunk + + if not output_contents or finish_reason is None: is_valid = False - if chunk.candidates and chunk.candidates[0].content: - output_contents.append(chunk.candidates[0].content) - if chunk.candidates and chunk.candidates[0].finish_reason: - finish_reason = chunk.candidates[0].finish_reason - yield chunk - - if not output_contents or finish_reason is None: - is_valid = False - self.record_history( - user_input=input_content, - model_output=output_contents, - automatic_function_calling_history=chunk.automatic_function_calling_history - if chunk is not None and chunk.automatic_function_calling_history - else [], - is_valid=is_valid, + self.record_history( + user_input=user_input, + model_output=output_contents, + is_valid=is_valid, + ) + return + + # AFC handling + parse_config = _extra_utils.get_usage_header( + parsed_config, # type: ignore[arg-type] + types.GenerateContentConfig, + usage="afc", ) + async with contextlib.AsyncExitStack() as stack: + # Intercept Agent Platform MCP servers and open connections + if ( + self._modules._api_client.vertexai + and _extra_utils.has_agent_platform_mcp_servers(parsed_config) + and parsed_config is not None + ): + new_tools: list[Any] = [] + if parsed_config.tools: + for tool in parsed_config.tools: + if isinstance(tool, types.Tool) and tool.mcp_servers: + # Only keep the tool if it has fields besides mcp_servers + if ( + tool.function_declarations + or tool.google_search + or tool.retrieval + or tool.google_search_retrieval + or tool.code_execution + ): + tool_copy = tool.model_copy(update={'mcp_servers': None}) + new_tools.append(tool_copy) + + for server in tool.mcp_servers: + if ( + getattr(server, 'streamable_http_transport', None) + is not None + ): + raise ValueError( + "The 'streamable_http_transport' parameter is only" + ' supported in Gemini Developer API mode, not in Gemini' + ' Enterprise Agent Platform mode.' + ) + + # Open the stream and tie its lifespan to the AsyncExitStack + if server.name is not None: + session = await stack.enter_async_context( + _mcp_utils._connect_agent_platform_mcp( + self._modules._api_client, server.name + ) + ) + new_tools.append(session) + else: + raise ValueError( + "Agent Platform MCP servers require a 'name' field." + ) + else: + new_tools.append(tool) + parsed_config.tools = new_tools + + # Convert active sessions to tools and adapters + final_parsed_config, mcp_to_genai_tool_adapters = ( + await _extra_utils.parse_config_for_mcp_sessions( + parsed_config, + is_agent_platform=getattr( + self._modules._api_client, "vertexai", False + ), + ) + ) + + remaining_remote_calls_afc = _extra_utils.get_max_remote_calls_afc( + final_parsed_config + ) + if final_parsed_config: + final_parsed_config.automatic_function_calling = ( + types.AutomaticFunctionCallingConfig( + disable=True, + ) + ) + + logger.info( + "AFC is enabled with max remote calls:" + f" {remaining_remote_calls_afc}." + ) + + function_map = _extra_utils.get_function_map( + final_parsed_config, + mcp_to_genai_tool_adapters, + is_caller_method_async=True, + ) + + i = 0 + model_output: list[types.Content] = [] + finish_reason = None + is_valid = True + + while remaining_remote_calls_afc > 0: + i += 1 + response_stream = await self._modules.generate_content_stream( + model=self._model, + contents=contents_to_model, # type: ignore[arg-type] + config=final_parsed_config, + ) + + model_output = [] + finish_reason = None + is_valid = True + func_response_parts = [] + chunk = None + + async for chunk in response_stream: + if not _validate_response(chunk): + is_valid = False + + if ( + function_map + and chunk.candidates + and chunk.candidates[0].content + and chunk.candidates[0].content.parts + ): + chunk_func_response_parts = ( + await _extra_utils.get_function_response_parts_async( + chunk, function_map + ) + ) + if chunk_func_response_parts: + func_response_parts.extend(chunk_func_response_parts) + + if chunk.candidates and chunk.candidates[0].content: + model_output.append(chunk.candidates[0].content) + if chunk.candidates and chunk.candidates[0].finish_reason: + finish_reason = chunk.candidates[0].finish_reason + yield chunk + + if not function_map or not func_response_parts: + break + + logger.info(f"AFC remote call {i} is done.") + remaining_remote_calls_afc -= 1 + if remaining_remote_calls_afc == 0: + logger.info( + "Reached max remote calls for automatic function calling." + ) + + func_response_content = types.Content( + role="user", parts=func_response_parts + ) + + contents_to_model.extend(model_output) + contents_to_model.append(func_response_content) + + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=is_valid, + ) + user_input = func_response_content + + self.record_history( + user_input=user_input, + model_output=model_output, + is_valid=bool( + is_valid + and model_output + and finish_reason is not None + ), + ) return async_generator() # type: ignore[no-untyped-call, no-any-return] diff --git a/google/genai/models.py b/google/genai/models.py index 0bcb2f436..1d8dbd8d6 100644 --- a/google/genai/models.py +++ b/google/genai/models.py @@ -6559,23 +6559,9 @@ def generate_content( model=model, contents=contents, config=parsed_config ) if incompatible_tools_indexes: - original_tools_length = 0 - if isinstance(config, types.GenerateContentConfig): - if config.tools: - original_tools_length = len(config.tools) - elif isinstance(config, dict): - tools = config.get('tools', []) - if tools: - original_tools_length = len(tools) - if len(incompatible_tools_indexes) != original_tools_length: - indices_str = ', '.join(map(str, incompatible_tools_indexes)) - logger.warning( - 'Tools at indices [%s] are not compatible with automatic function ' - 'calling (AFC). AFC is disabled. If AFC is intended, please ' - 'include python callables in the tool list, and do not include ' - 'function declaration and MCP server in the tool list.', - indices_str, - ) + _extra_utils.log_afc_incompatible_tools_warning( + config, incompatible_tools_indexes + ) return self._generate_content( model=model, contents=contents, config=parsed_config ) @@ -6732,21 +6718,9 @@ def generate_content_stream( return if incompatible_tools_indexes: - original_tools_length = 0 - if isinstance(config, types.GenerateContentConfig): - if config.tools: - original_tools_length = len(config.tools) - elif isinstance(config, dict): - tools = config.get('tools', []) - if tools: - original_tools_length = len(tools) - if len(incompatible_tools_indexes) != original_tools_length: - indices_str = ', '.join(map(str, incompatible_tools_indexes)) - logger.warning( - 'Tools at indices [%s] are not compatible with automatic function ' - 'calling. AFC will be disabled.', - indices_str, - ) + _extra_utils.log_afc_incompatible_tools_warning( + config, incompatible_tools_indexes + ) yield from self._generate_content_stream( model=model, contents=contents, config=parsed_config ) @@ -6763,8 +6737,6 @@ def generate_content_stream( f'AFC is enabled with max remote calls: {remaining_remote_calls_afc}.' ) automatic_function_calling_history: list[types.Content] = [] - chunk = None - func_response_parts = None i = 0 while remaining_remote_calls_afc > 0: parsed_config_to_call = ( @@ -6780,73 +6752,57 @@ def generate_content_stream( model=model, contents=contents, config=parsed_config_to_call ) - if i == 1: - # First request gets a function call. - # Then get function response parts. - # Yield chunks only if there's no function response parts. - for chunk in response: - if not function_map: - contents = _extra_utils.append_chunk_contents(contents, chunk) # type: ignore[assignment] - yield chunk - else: - if ( - not chunk.candidates - or not chunk.candidates[0].content - or not chunk.candidates[0].content.parts - ): - break - func_response_parts = _extra_utils.get_function_response_parts( - chunk, function_map - ) - if not func_response_parts: - contents = _extra_utils.append_chunk_contents(contents, chunk) # type: ignore[assignment] - yield chunk + model_output = [] + func_response_parts = [] + chunk = None - else: - # Second request and beyond, yield chunks. - for chunk in response: - if _extra_utils.should_append_afc_history(parsed_config): - chunk.automatic_function_calling_history = ( - automatic_function_calling_history - ) - contents = _extra_utils.append_chunk_contents(contents, chunk) # type: ignore[assignment] - yield chunk + for chunk in response: if ( - chunk is None - or not chunk.candidates - or not chunk.candidates[0].content - or not chunk.candidates[0].content.parts + _extra_utils.should_append_afc_history(parsed_config) + and automatic_function_calling_history ): - break - func_response_parts = _extra_utils.get_function_response_parts( - chunk, function_map - ) + chunk.automatic_function_calling_history = ( + automatic_function_calling_history + ) - if not function_map: - break - if not func_response_parts: + if ( + function_map + and chunk.candidates + and chunk.candidates[0].content + and chunk.candidates[0].content.parts + ): + chunk_func_response_parts = _extra_utils.get_function_response_parts( + chunk, function_map + ) + if chunk_func_response_parts: + func_response_parts.extend(chunk_func_response_parts) + + if chunk.candidates and chunk.candidates[0].content: + model_output.append(chunk.candidates[0].content) + + yield chunk + + if not function_map or not func_response_parts: break + logger.info(f'AFC remote call {i} is done.') remaining_remote_calls_afc -= 1 if remaining_remote_calls_afc == 0: logger.info('Reached max remote calls for automatic function calling.') - # Append function response parts to contents for the next request. - if chunk is not None and chunk.candidates is not None: - func_call_content = chunk.candidates[0].content - func_response_content = types.Content( - role='user', - parts=func_response_parts, - ) - contents = t.t_contents(contents) # type: ignore[assignment] - if not automatic_function_calling_history: - automatic_function_calling_history.extend(contents) # type: ignore[arg-type] - if isinstance(contents, list) and func_call_content is not None: - contents.append(func_call_content) # type: ignore[arg-type] - contents.append(func_response_content) # type: ignore[arg-type] - if func_call_content is not None: - automatic_function_calling_history.append(func_call_content) - automatic_function_calling_history.append(func_response_content) + # Append function call and function response parts to contents for the next request. + func_response_content = types.Content( + role='user', + parts=func_response_parts, + ) + contents = t.t_contents(contents) # type: ignore[assignment] + if not automatic_function_calling_history: + automatic_function_calling_history.extend(contents) # type: ignore[arg-type] + if isinstance(contents, list): + contents.extend(model_output) # type: ignore[arg-type] + contents.append(func_response_content) # type: ignore[arg-type] + automatic_function_calling_history.extend(model_output) + automatic_function_calling_history.append(func_response_content) @_common.experimental_warning( 'The generate_images method is deprecated and will be removed in the ' @@ -8768,23 +8724,9 @@ async def generate_content( ) if incompatible_tools_indexes: - original_tools_length = 0 - if isinstance(config, types.GenerateContentConfig): - if config.tools: - original_tools_length = len(config.tools) - elif isinstance(config, dict): - tools = config.get('tools', []) - if tools: - original_tools_length = len(tools) - if len(incompatible_tools_indexes) != original_tools_length: - indices_str = ', '.join(map(str, incompatible_tools_indexes)) - logger.warning( - 'Tools at indices [%s] are not compatible with automatic function' - ' calling (AFC). AFC is disabled. If AFC is intended, please' - ' include python callables in the tool list, and do not include' - ' function declaration and MCP server in the tool list.', - indices_str, - ) + _extra_utils.log_afc_incompatible_tools_warning( + config, incompatible_tools_indexes + ) return await self._generate_content( model=model, contents=contents, config=final_parsed_config ) @@ -9010,24 +8952,9 @@ async def stream_generator(): # type: ignore[no-untyped-def] return if incompatible_tools_indexes: - original_tools_length = 0 - if isinstance(config, types.GenerateContentConfig): - if config.tools: - original_tools_length = len(config.tools) - elif isinstance(config, dict): - tools = config.get('tools', []) - if tools: - original_tools_length = len(tools) - if len(incompatible_tools_indexes) != original_tools_length: - indices_str = ', '.join(map(str, incompatible_tools_indexes)) - logger.warning( - 'Tools at indices [%s] are not compatible with automatic' - ' function calling (AFC). AFC is disabled. If AFC is intended,' - ' please include python callables in the tool list, and do not' - ' include function declaration and MCP server in the tool' - ' list.', - indices_str, - ) + _extra_utils.log_afc_incompatible_tools_warning( + config, incompatible_tools_indexes + ) response = await self._generate_content_stream( model=model, contents=contents, config=final_parsed_config ) @@ -9047,8 +8974,6 @@ async def stream_generator(): # type: ignore[no-untyped-def] f' {remaining_remote_calls_afc}.' ) automatic_function_calling_history: list[types.Content] = [] - func_response_parts = None - chunk = None i = 0 loop_contents = contents @@ -9080,69 +9005,49 @@ async def stream_generator(): # type: ignore[no-untyped-def] config=final_parsed_config_to_call, ) - if i > 1: - logger.info(f'AFC remote call {i} is done.') - remaining_remote_calls_afc -= 1 - if i > 1 and remaining_remote_calls_afc == 0: - logger.info( - 'Reached max remote calls for automatic function calling.' - ) + model_output = [] + func_response_parts = [] + chunk = None - if i == 1: - async for chunk in response: # type: ignore[attr-defined] - if not function_map: - loop_contents = _extra_utils.append_chunk_contents( - loop_contents, chunk - ) - yield chunk - else: - if ( - not chunk.candidates - or not chunk.candidates[0].content - or not chunk.candidates[0].content.parts - ): - break - func_response_parts = ( - await _extra_utils.get_function_response_parts_async( - chunk, function_map - ) - ) - if not func_response_parts: - loop_contents = _extra_utils.append_chunk_contents( - loop_contents, chunk - ) - yield chunk - else: - async for chunk in response: # type: ignore[attr-defined] - if _extra_utils.should_append_afc_history(final_parsed_config): - chunk.automatic_function_calling_history = ( - automatic_function_calling_history - ) - loop_contents = _extra_utils.append_chunk_contents( - loop_contents, chunk + async for chunk in response: # type: ignore[attr-defined] + if ( + _extra_utils.should_append_afc_history(final_parsed_config) + and automatic_function_calling_history + ): + chunk.automatic_function_calling_history = ( + automatic_function_calling_history ) - yield chunk + if ( - chunk is None - or not chunk.candidates - or not chunk.candidates[0].content - or not chunk.candidates[0].content.parts + function_map + and chunk.candidates + and chunk.candidates[0].content + and chunk.candidates[0].content.parts ): - break - func_response_parts = ( - await _extra_utils.get_function_response_parts_async( - chunk, function_map - ) - ) + chunk_func_response_parts = ( + await _extra_utils.get_function_response_parts_async( + chunk, function_map + ) + ) + if chunk_func_response_parts: + func_response_parts.extend(chunk_func_response_parts) + + if chunk.candidates and chunk.candidates[0].content: + model_output.append(chunk.candidates[0].content) + + yield chunk if not function_map or not func_response_parts: break - if chunk is None: - continue + logger.info(f'AFC remote call {i} is done.') + remaining_remote_calls_afc -= 1 + if remaining_remote_calls_afc == 0: + logger.info( + 'Reached max remote calls for automatic function calling.' + ) # Append function response parts to contents for the next request. - func_call_content = chunk.candidates[0].content func_response_content = types.Content( role='user', parts=func_response_parts, @@ -9150,11 +9055,10 @@ async def stream_generator(): # type: ignore[no-untyped-def] loop_contents = t.t_contents(loop_contents) # type: ignore[assignment] if not automatic_function_calling_history: automatic_function_calling_history.extend(loop_contents) # type: ignore[arg-type] - if isinstance(loop_contents, list) and func_call_content is not None: - loop_contents.append(func_call_content) # type: ignore[arg-type] + if isinstance(loop_contents, list): + loop_contents.extend(model_output) # type: ignore[arg-type] loop_contents.append(func_response_content) # type: ignore[arg-type] - if func_call_content is not None: - automatic_function_calling_history.append(func_call_content) + automatic_function_calling_history.extend(model_output) automatic_function_calling_history.append(func_response_content) return stream_generator() # type: ignore[no-untyped-call, no-any-return] diff --git a/google/genai/tests/afc/test_generate_content_stream_afc.py b/google/genai/tests/afc/test_generate_content_stream_afc.py index b9ec0e282..0a603dd41 100644 --- a/google/genai/tests/afc/test_generate_content_stream_afc.py +++ b/google/genai/tests/afc/test_generate_content_stream_afc.py @@ -21,14 +21,6 @@ from ... import types -pytestmark = [ - pytest.mark.skipif( - "config.getoption('--private')", - reason="AFC logic in private SDK is re-written", - ), -] - - TEST_NO_AFC_PART = types.Part( text=( 'Okay, here is the weather in San Francisco' @@ -321,9 +313,12 @@ def test_generate_content_stream_with_function_tools_used( ) chunk = None + text_match = False for chunk in stream: - assert chunk.text == TEST_AFC_TEXT_PART.text + if chunk.text == TEST_AFC_TEXT_PART.text: + text_match = True + assert text_match assert mock_generate_content_stream_with_afc.call_count == 2 assert mock_get_function_response_parts.call_count == 2 @@ -354,9 +349,12 @@ def test_generate_content_stream_with_thought_summaries( ) chunk = None + text_match = False for chunk in stream: - assert chunk.text == TEST_AFC_TEXT_PART.text + if chunk.text == TEST_AFC_TEXT_PART.text: + text_match = True + assert text_match assert mock_generate_content_stream_with_afc.call_count == 2 assert mock_get_function_response_parts.call_count == 2 @@ -457,8 +455,12 @@ async def test_generate_content_stream_with_function_tools_used_async( ) chunk = None + text_match = False async for chunk in stream: - assert chunk.text == TEST_AFC_TEXT_PART.text + if chunk.text == TEST_AFC_TEXT_PART.text: + text_match = True + + assert text_match assert mock_generate_content_stream_with_afc_async.call_count == 2 @@ -489,8 +491,12 @@ async def test_generate_content_stream_with_function_async_function_used_async( ) chunk = None + text_match = False async for chunk in stream: - assert chunk.text == TEST_AFC_TEXT_PART.text + if chunk.text == TEST_AFC_TEXT_PART.text: + text_match = True + + assert text_match assert mock_generate_content_stream_with_afc_async.call_count == 2 @@ -524,8 +530,12 @@ async def test_generate_content_stream_with_thought_summaries_async( ) chunk = None + text_match = False async for chunk in stream: - assert chunk.text == TEST_AFC_TEXT_PART.text + if chunk.text == TEST_AFC_TEXT_PART.text: + text_match = True + + assert text_match assert mock_generate_content_stream_with_afc_async.call_count == 2 diff --git a/google/genai/tests/afc/test_get_function_map.py b/google/genai/tests/afc/test_get_function_map.py index 8a8bc9334..1aa05c421 100644 --- a/google/genai/tests/afc/test_get_function_map.py +++ b/google/genai/tests/afc/test_get_function_map.py @@ -78,7 +78,13 @@ def test_mcp_tool_raises_error(): if not _is_mcp_imported: return - session = McpClientSession(read_stream=None, write_stream=None) + class MockMcpClientSession(McpClientSession): + + def __init__(self): + self._read_stream = None + self._write_stream = None + + session = MockMcpClientSession() config = GenerateContentConfig(tools=[session]) mcp_to_genai_tool_adapters = {'tool': McpToGenAiToolAdapter(session, [])} with pytest.raises(UnsupportedFunctionError): diff --git a/google/genai/tests/afc/test_get_function_response_parts.py b/google/genai/tests/afc/test_get_function_response_parts.py index e80ec4493..60448ef43 100644 --- a/google/genai/tests/afc/test_get_function_response_parts.py +++ b/google/genai/tests/afc/test_get_function_response_parts.py @@ -197,25 +197,23 @@ async def call_tool(self, name: str, arguments: dict[str, Any]) -> Any: ] ) function_map = {'tool': mcp_to_genai_tool_adapter} - expected_parts = [ - Part( - function_response=FunctionResponse( - name='tool', - response={ - 'result': { - 'content': [{'type': 'text', 'text': '1.01'}], - 'isError': False, - } - }, - ) - ) - ] actual_parts = await get_function_response_parts_async(response, function_map) + actual_part = actual_parts[0] + assert actual_part.function_response.name == 'tool' + assert 'result' in actual_part.function_response.response + assert ( + actual_part.function_response.response['result'].content[0].text + == '1.01' + ) + is_error = getattr( + actual_part.function_response.response['result'], + 'isError', + getattr( + actual_part.function_response.response['result'], 'is_error', False + ), + ) + assert is_error == False - for actual_part, expected_part in zip(actual_parts, expected_parts): - assert actual_part.model_dump_json( - exclude_none=True - ) == expected_part.model_dump_json(exclude_none=True) @pytest.mark.asyncio @@ -256,22 +254,19 @@ async def call_tool(self, name: str, arguments: dict[str, Any]) -> Any: ] ) function_map = {'tool': mcp_to_genai_tool_adapter} - expected_parts = [ - Part( - function_response=FunctionResponse( - name='tool', - response={ - 'error': { - 'content': [{'type': 'text', 'text': 'Internal error'}], - 'isError': True, - } - }, - ) - ) - ] actual_parts = await get_function_response_parts_async(response, function_map) - - for actual_part, expected_part in zip(actual_parts, expected_parts): - assert actual_part.model_dump_json( - exclude_none=True - ) == expected_part.model_dump_json(exclude_none=True) + actual_part = actual_parts[0] + assert actual_part.function_response.name == 'tool' + assert 'error' in actual_part.function_response.response + assert ( + actual_part.function_response.response['error'].content[0].text + == 'Internal error' + ) + is_error = getattr( + actual_part.function_response.response['error'], + 'isError', + getattr( + actual_part.function_response.response['error'], 'is_error', False + ), + ) + assert is_error == True diff --git a/google/genai/tests/afc/test_should_disable_afc.py b/google/genai/tests/afc/test_should_disable_afc.py index bfc002972..bdd78cd42 100644 --- a/google/genai/tests/afc/test_should_disable_afc.py +++ b/google/genai/tests/afc/test_should_disable_afc.py @@ -21,13 +21,6 @@ from ... import types from ..._extra_utils import should_disable_afc -pytestmark = [ - pytest.mark.skipif( - "config.getoption('--private')", - reason="AFC re-written for private SDK", - ), -] - def test_config_is_none(): assert should_disable_afc(None) is False diff --git a/google/genai/tests/chats/test_get_history.py b/google/genai/tests/chats/test_get_history.py index df2ae53d9..37d5eacac 100644 --- a/google/genai/tests/chats/test_get_history.py +++ b/google/genai/tests/chats/test_get_history.py @@ -115,47 +115,6 @@ def mock_generate_content_stream_empty_content(): yield mock_generate_content -@pytest.fixture -def mock_generate_content_afc_history(): - with mock.patch.object( - models.Models, 'generate_content' - ) as mock_generate_content: - mock_generate_content.return_value = types.GenerateContentResponse( - candidates=[ - types.Candidate( - content=types.Content( - role='model', - parts=[types.Part.from_text(text='afc output')], - ) - ) - ], - automatic_function_calling_history=AFC_HISTORY, - ) - yield mock_generate_content - - -@pytest.fixture -def mock_generate_content_stream_afc_history(): - with mock.patch.object( - models.Models, 'generate_content_stream' - ) as mock_generate_content: - mock_generate_content.return_value = [ - types.GenerateContentResponse( - candidates=[ - types.Candidate( - content=types.Content( - role='model', - parts=[types.Part.from_text(text='afc output')], - ), - finish_reason=types.FinishReason.STOP, - ) - ], - automatic_function_calling_history=AFC_HISTORY, - ) - ] - yield mock_generate_content - - def test_history_start_with_valid_model_content(): history = [ types.Content( @@ -560,47 +519,3 @@ def test_chat_stream_with_empty_content( ] assert chat.get_history() == expected_comprehensive_history assert not chat.get_history(curated=True) - - -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC logic in private is re-written', -) -def test_chat_with_afc_history(mock_generate_content_afc_history): - models_module = models.Models(mock_api_client) - chats_module = chats.Chats(modules=models_module) - chat = chats_module.create(model='gemini-2.5-flash') - - chat.send_message('Hello') - - expected_history = AFC_HISTORY + [ - types.Content( - role='model', - parts=[types.Part.from_text(text='afc output')], - ), - ] - assert chat.get_history() == expected_history - assert chat.get_history(curated=True) == expected_history - - -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC logic in private is re-written', -) -def test_chat_stream_with_afc_history(mock_generate_content_stream_afc_history): - models_module = models.Models(mock_api_client) - chats_module = chats.Chats(modules=models_module) - chat = chats_module.create(model='gemini-2.5-flash') - - chunks = chat.send_message_stream('Hello') - for chunk in chunks: - pass - - expected_history = AFC_HISTORY + [ - types.Content( - role='model', - parts=[types.Part.from_text(text='afc output')], - ), - ] - assert chat.get_history() == expected_history - assert chat.get_history(curated=True) == expected_history diff --git a/google/genai/tests/chats/test_send_message.py b/google/genai/tests/chats/test_send_message.py index 0ec0f90b3..94d451582 100644 --- a/google/genai/tests/chats/test_send_message.py +++ b/google/genai/tests/chats/test_send_message.py @@ -45,10 +45,6 @@ file=__file__, globals_for_file=globals(), ), - pytest.mark.skipif( - "config.getoption('--private')", - reason="AFC re-written for private SDK", - ), ] pytest_plugins = ('pytest_asyncio',) diff --git a/google/genai/tests/models/test_function_call_streaming.py b/google/genai/tests/models/test_function_call_streaming.py index fbc3ec914..6fe15f621 100644 --- a/google/genai/tests/models/test_function_call_streaming.py +++ b/google/genai/tests/models/test_function_call_streaming.py @@ -149,10 +149,6 @@ ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='in private it was not able to find the replay file', -) def test_streaming_with_python_native_no_afc_config(client): """Tests streaming function calls with native python AFC without disabling AFC.""" if not client.vertexai: @@ -178,10 +174,6 @@ def test_streaming_with_python_native_no_afc_config(client): assert 'not compatible with automatic function calling (AFC)' in str(e.value) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='in private it was not able to find the replay file', -) def test_streaming_with_python_afc_disabled_false(client): """Tests streaming function calls with native python AFC without disabling AFC.""" if not client.vertexai: diff --git a/google/genai/tests/models/test_generate_content.py b/google/genai/tests/models/test_generate_content.py index ae64eb89f..38f35120a 100644 --- a/google/genai/tests/models/test_generate_content.py +++ b/google/genai/tests/models/test_generate_content.py @@ -2196,10 +2196,6 @@ class Foo(BaseModel): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_function(client): def get_weather(city: str) -> str: """Returns the weather in a city.""" diff --git a/google/genai/tests/models/test_generate_content_mcp.py b/google/genai/tests/models/test_generate_content_mcp.py index 7e3f0a219..87f959e34 100644 --- a/google/genai/tests/models/test_generate_content_mcp.py +++ b/google/genai/tests/models/test_generate_content_mcp.py @@ -13,6 +13,7 @@ # limitations under the License. # +import sys from typing import Any import pytest from ... import _transformers as t @@ -24,8 +25,6 @@ from mcp import types as mcp_types from mcp import ClientSession as McpClientSession except ImportError as e: - import sys - if sys.version_info < (3, 10): raise ImportError( 'MCP Tool requires Python 3.10 or above. Please upgrade your Python' @@ -105,9 +104,8 @@ async def test_mcp_tools_with_custom_headers_async(client): } -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC by default is disabled in private models.py', +@pytest.mark.skip( + reason='pydantic serialization inconsistant issue', ) @pytest.mark.asyncio async def test_mcp_tools_subsequent_calls_async(client): @@ -161,14 +159,14 @@ async def call_tool( } response = await client.aio.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.5-flash', contents=t.t_contents('What is the weather in Boston?'), config=config, ) assert 'sunny' in response.text.lower() response_2 = await client.aio.models.generate_content( - model='gemini-2.5-flash', + model='gemini-3.5-flash', contents=t.t_contents('What is 50 + 50?'), config=config, ) diff --git a/google/genai/tests/models/test_generate_content_tools.py b/google/genai/tests/models/test_generate_content_tools.py index f9f0f30da..89ecb9cc2 100644 --- a/google/genai/tests/models/test_generate_content_tools.py +++ b/google/genai/tests/models/test_generate_content_tools.py @@ -530,6 +530,10 @@ def divide_floats(a: float, b: float) -> float: }, ), exception_if_vertex='only supported in Gemini Developer API mode', + skip_in_private=( + 'disabled_safety_policies parameter is supported on Vertex AI in' + ' Private SDK' + ), ), pytest_helper.TestTableItem( name='test_computer_use_multi_turn', @@ -701,6 +705,10 @@ def divide_floats(a: float, b: float) -> float: exception_if_vertex=( 'parameter is only supported in Gemini Developer API mode' ), + skip_in_private=( + 'include_server_side_tool_invocations parameter is supported on' + ' Vertex AI in Private SDK' + ), ), pytest_helper.TestTableItem( name='test_include_server_side_tool_invocations_with_tool_call_echo', @@ -774,10 +782,6 @@ def divide_floats(a: float, b: float) -> float: test_method='models.generate_content', test_table=test_table, ), - pytest.mark.skipif( - "config.getoption('--private')", - reason='ComputerUse on Vertex API behaves differently between public and private modules.', - ), ] pytest_plugins = ('pytest_asyncio',) @@ -805,6 +809,10 @@ def test_function_google_search(client): ) +@pytest.mark.skipif( + "config.getoption('--private')", + reason="include_server_side_tool_invocations is supported on Vertex AI in Private SDK", +) def test_function_google_search_server_side_tool_invocations(client): contents = ( 'What is the weather in Buenos Aires? If it is raining, schedule a' @@ -840,6 +848,10 @@ def test_function_google_search_server_side_tool_invocations(client): ) +@pytest.mark.skipif( + "config.getoption('--private')", + reason="include_server_side_tool_invocations is supported on Vertex AI in Private SDK", +) def test_function_google_search_server_side_tool_invocations_one_tool(client): contents = ( 'What is the weather in Buenos Aires? If it is raining, schedule a' @@ -905,10 +917,6 @@ def test_function_calling_without_implementation(client): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_2_function(client): response = client.models.generate_content( model='gemini-2.5-flash', @@ -922,11 +930,6 @@ def test_2_function(client): assert 'Boston' in response.text assert 'sunny' in response.text - -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) @pytest.mark.asyncio async def test_2_function_async(client): response = await client.aio.models.generate_content( @@ -941,10 +944,6 @@ async def test_2_function_async(client): assert 'Boston' in response.text assert 'sunny' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_with_customized_math_rule(client): def customized_divide_integers(numerator: int, denominator: int) -> int: """Divide two integers with customized math rule.""" @@ -960,10 +959,6 @@ def customized_divide_integers(numerator: int, denominator: int) -> int: assert '501' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling(client): response = client.models.generate_content( model='gemini-3.1-pro-preview', @@ -977,10 +972,6 @@ def test_automatic_function_calling(client): assert '500' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) @pytest.mark.asyncio async def test_automatic_function_calling_with_async_function(client): response = await client.aio.models.generate_content( @@ -1092,10 +1083,6 @@ async def test_automatic_function_calling_stream_async(client): assert chunk.text is not None or chunk.candidates[0].finish_reason -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_callable_tools_user_disable_afc(client): response = client.models.generate_content( model='gemini-2.5-flash', @@ -1110,10 +1097,6 @@ def test_callable_tools_user_disable_afc(client): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_callable_tools_user_disable_afc_with_max_remote_calls(client): response = client.models.generate_content( model='gemini-2.5-flash', @@ -1128,10 +1111,6 @@ def test_callable_tools_user_disable_afc_with_max_remote_calls(client): }, ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_callable_tools_user_disable_afc_with_max_remote_calls_negative( client, ): @@ -1149,10 +1128,6 @@ def test_callable_tools_user_disable_afc_with_max_remote_calls_negative( ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_callable_tools_user_disable_afc_with_max_remote_calls_zero(client): response = client.models.generate_content( model='gemini-2.5-flash', @@ -1167,10 +1142,6 @@ def test_callable_tools_user_disable_afc_with_max_remote_calls_zero(client): }, ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_callable_tools_user_enable_afc(client): response = client.models.generate_content( model='gemini-2.5-flash', @@ -1185,10 +1156,6 @@ def test_callable_tools_user_enable_afc(client): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_callable_tools_user_enable_afc_with_max_remote_calls(client): response = client.models.generate_content( model='gemini-2.5-flash', @@ -1204,10 +1171,6 @@ def test_callable_tools_user_enable_afc_with_max_remote_calls(client): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_callable_tools_user_enable_afc_with_max_remote_calls_negative( client, ): @@ -1225,10 +1188,6 @@ def test_callable_tools_user_enable_afc_with_max_remote_calls_negative( ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_callable_tools_user_enable_afc_with_max_remote_calls_zero(client): response = client.models.generate_content( model='gemini-2.5-flash', @@ -1244,10 +1203,6 @@ def test_callable_tools_user_enable_afc_with_max_remote_calls_zero(client): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_with_exception(client): client.models.generate_content( model='gemini-2.5-flash', @@ -1258,10 +1213,6 @@ def test_automatic_function_calling_with_exception(client): }, ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_float_without_decimal(client): response = client.models.generate_content( model='gemini-2.5-flash', @@ -1275,10 +1226,6 @@ def test_automatic_function_calling_float_without_decimal(client): assert '500.0' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_with_pydantic_model(client): class CityObject(pydantic.BaseModel): city_name: str @@ -1302,10 +1249,6 @@ def get_weather_pydantic_model( assert 'cold' in response.text and 'Boston' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_with_pydantic_model_in_list_type(client): class CityObject(pydantic.BaseModel): city_name: str @@ -1341,10 +1284,7 @@ def get_weather_from_list_of_cities( @pytest.mark.skip( - reason=( - 'AFC is in progress of refactoring, this test is failing python 3.14' - ' b/512415555 will update once refactoring from yyyu@ is done' - ), + reason='pydantic serialization is flaky' ) def test_automatic_function_calling_with_pydantic_model_in_union_type(client): class AnimalObject(pydantic.BaseModel): @@ -1374,29 +1314,24 @@ def get_information( else: return 'The animal is not supported' - with pytest_helper.exception_if_vertex(client, errors.ClientError): - response = client.models.generate_content( - model='gemini-2.5-flash', - contents=( - 'I have a one year old cat named Sundae, can you get the' - ' information of the cat for me?' - ), - config={ - 'system_instruction': ( - 'you answer questions based on the tools provided' - ), - 'tools': [get_information], - 'automatic_function_calling': {'ignore_call_history': True}, - }, - ) - assert 'Sundae' in response.text - assert 'cat' in response.text + response = client.models.generate_content( + model='gemini-3.5-flash', + contents=( + 'I have a one year old cat named Sundae, can you get the' + ' information of the cat for me?' + ), + config={ + 'system_instruction': ( + 'you answer questions based on the tools provided' + ), + 'tools': [get_information], + 'automatic_function_calling': {'ignore_call_history': True}, + }, + ) + assert 'Sundae' in response.text + assert 'cat' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_with_union_operator(client): class AnimalObject(pydantic.BaseModel): name: str @@ -1428,10 +1363,6 @@ def get_information( assert response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_with_tuple_param(client): def output_latlng( latlng: tuple[float, float], @@ -1455,10 +1386,6 @@ def output_latlng( sys.version_info < (3, 10), reason='| is only supported in Python 3.10 and above.', ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_with_union_operator_return_type(client): def get_cheese_age(cheese: int) -> int | float: """ @@ -1488,10 +1415,6 @@ def get_cheese_age(cheese: int) -> int | float: assert '3' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_with_parameterized_generic_union_type( client, ): @@ -1539,10 +1462,6 @@ def test_empty_tools(client): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_with_1_empty_tool(client): # Bad request for empty tool. with pytest_helper.exception_if_vertex(client, errors.ClientError): @@ -1606,10 +1525,6 @@ async def test_vai_search_stream_async(client): assert 'retrieval' in str(e) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_automatic_function_calling_with_coroutine_function(client): async def divide_integers(a: int, b: int) -> int: return a // b @@ -1625,10 +1540,6 @@ async def divide_integers(a: int, b: int) -> int: ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) @pytest.mark.asyncio async def test_automatic_function_calling_with_coroutine_function_async( client, @@ -1648,10 +1559,6 @@ async def divide_integers(a: int, b: int) -> int: assert '500' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC by default is disabled in private models.py', -) @pytest.mark.asyncio async def test_automatic_function_calling_async(client): def divide_integers(a: int, b: int) -> int: @@ -1669,10 +1576,6 @@ def divide_integers(a: int, b: int) -> int: assert '500' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC by default is disabled in private models.py', -) @pytest.mark.asyncio async def test_automatic_function_calling_async_with_exception(client): def mystery_function(a: int, b: int) -> int: @@ -1696,10 +1599,6 @@ def mystery_function(a: int, b: int) -> int: ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC by default is disabled in private models.py', -) @pytest.mark.asyncio async def test_automatic_function_calling_async_with_pydantic_model(client): class CityObject(pydantic.BaseModel): @@ -1725,10 +1624,6 @@ def get_weather_pydantic_model( assert 'cold' in response.text and 'Boston' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC by default is disabled in private models.py', -) @pytest.mark.asyncio async def test_automatic_function_calling_async_with_async_function(client): async def get_current_weather_async(city: str) -> str: @@ -1774,10 +1669,6 @@ async def get_current_weather_async(city: str) -> str: assert chunk.parts[0].function_call.args['city'] == 'San Francisco' -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_2_function_with_history(client): response = client.models.generate_content( model='gemini-2.5-flash', @@ -1832,10 +1723,6 @@ def test_2_function_with_history(client): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC by default is disabled in private models.py', -) @pytest.mark.asyncio async def test_2_function_with_history_async(client): response = await client.aio.models.generate_content( @@ -1901,10 +1788,6 @@ def is_a_rabbit(self, number: int) -> str: return self.NAME + 'says isEven: ' + str(number % 2 == 0) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_class_method_tools(client): # This test is to make sure that instance method tools can be used in # the generate_content request. @@ -1923,10 +1806,6 @@ def test_class_method_tools(client): assert 'FunctionHolder' in response.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_disable_afc_in_any_mode(client): response = client.models.generate_content( model='gemini-3.1-pro-preview', @@ -1943,10 +1822,6 @@ def test_disable_afc_in_any_mode(client): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_afc_once_in_any_mode(client): response = client.models.generate_content( model='gemini-3.1-pro-preview', @@ -1982,10 +1857,6 @@ def test_code_execution_tool(client): ) -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_afc_logs_to_logger_instance(client, caplog): caplog.set_level(logging.DEBUG, logger='google_genai.models') client.models.generate_content( @@ -2009,10 +1880,6 @@ def test_afc_logs_to_logger_instance(client, caplog): assert 'Reached max remote calls' in caplog.text -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_suppress_logs_with_sdk_logger(client, caplog): caplog.set_level(logging.DEBUG, logger='google_genai.models') sdk_logger = logging.getLogger('google_genai.models') @@ -2058,10 +1925,6 @@ def test_tools_chat_curation(client, caplog): assert len(history) == 4 -@pytest.mark.skipif( - 'config.getoption("--private")', - reason='AFC removed from private models.py', -) def test_function_declaration_with_callable(client): response = client.models.generate_content( model='gemini-2.5-pro', @@ -2369,3 +2232,34 @@ async def mock_stream_2(*args, **kwargs): assert '2 endpoints' in final_text mock_connect_mcp.assert_called_once_with(client._api_client, 'endpoints') assert mock_generate_stream.call_count == 2 + + +def test_stream_afc_thoughts(client): + def add_numbers(a: float, b: float) -> float: + """Adds two numbers and returns the sum.""" + return a + b + received_chunks = [] + function_calls = [] + text_chunks = [] + response_stream = client.models.generate_content_stream( + model='gemini-3.5-flash', + contents=( + 'Calculate the sum of 1234567.89 and 9876543.21. Use the add_numbers' + ' tool.' + ), + config=types.GenerateContentConfig( + tools=[add_numbers], + thinking_config=types.ThinkingConfig(include_thoughts=True), + ), + ) + for chunk in response_stream: + received_chunks.append(chunk) + if chunk.function_calls: + function_calls.extend(chunk.function_calls) + if chunk.text and '.1.' in chunk.text: + text_chunks.append(chunk.text) + + assert len(function_calls) == 1 + assert function_calls[0].name == 'add_numbers' + assert function_calls[0].args == {'a': 1234567.89, 'b': 9876543.21} + assert len(text_chunks) == 1 diff --git a/google/genai/tests/private/__init__.py b/google/genai/tests/private/__init__.py deleted file mode 100644 index 5d5d078c2..000000000 --- a/google/genai/tests/private/__init__.py +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright 2025 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - - -"""Tests for the Google GenAI SDK's private module.""" diff --git a/google/genai/tests/private/test_send_message_private.py b/google/genai/tests/private/test_send_message_private.py deleted file mode 100644 index 768d1dada..000000000 --- a/google/genai/tests/private/test_send_message_private.py +++ /dev/null @@ -1,250 +0,0 @@ -# Copyright 2025 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -"""Replay tests for private chats.send_message().""" - -import pytest - -from .. import pytest_helper -from ...errors import ClientError -from ..models import test_generate_content_tools -from ...types import Content -from ...types import FunctionCall -from ...types import FunctionResponse -from ...types import Part - - -pytestmark = [ - pytest_helper.setup( - file=__file__, - globals_for_file=globals(), - ), - pytest.mark.skipif( - "not config.getoption('--private')", - reason="This test file is only intended for the private SDK", - ), -] - - -MODEL_NAME = 'gemini-3.1-pro-preview' -get_weather = test_generate_content_tools.get_weather -get_stock_price = test_generate_content_tools.get_stock_price - - -def test_send_message_function_tool_afc_disabled(client): - chat = client.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather], - }, - ) - chat.send_message('What is the weather in Boston?') - history = chat.get_history() - assert len(history) == 2 - assert history[0].role == 'user' - assert history[0].parts[0].text == 'What is the weather in Boston?' - assert history[1].role == 'model' - assert len(history[1].parts) == 1 - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[1].parts[0].function_call.args == {'city': 'Boston'} - - -def test_send_message_function_tool_afc_enabled(client): - chat = client.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather], - 'automatic_function_calling': {'enable': True}, - }, - ) - chat.send_message('What is the weather in Boston?') - history = chat.get_history() - assert len(history) == 4 - assert history[0].role == 'user' - assert history[0].parts[0].text == 'What is the weather in Boston?' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[1].parts[0].function_call.args == {'city': 'Boston'} - assert history[2].role == 'user' - assert history[2].parts[0].function_response.name == 'get_weather' - assert history[3].role == 'model' - assert 'sunny' in history[3].parts[0].text.lower() - - -def test_send_message_function_tool_afc_enabled_multi_turn(client): - chat = client.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather, get_stock_price], - 'automatic_function_calling': {'enable': True}, - }, - ) - chat.send_message('What is the weather in Boston?') - history = chat.get_history() - assert len(history) == 4 - assert history[0].role == 'user' - assert history[0].parts[0].text == 'What is the weather in Boston?' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[1].parts[0].function_call.args == {'city': 'Boston'} - assert history[2].role == 'user' - assert history[2].parts[0].function_response.name == 'get_weather' - assert history[3].role == 'model' - assert 'sunny' in history[3].parts[0].text.lower() - - chat.send_message('What is the stock price of symbol GOOG?') - history = chat.get_history() - assert len(history) == 8 - assert history[0].role == 'user' - assert history[0].parts[0].text == 'What is the weather in Boston?' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[1].parts[0].function_call.args == {'city': 'Boston'} - assert history[2].role == 'user' - assert history[2].parts[0].function_response.name == 'get_weather' - assert history[3].role == 'model' - assert 'sunny' in history[3].parts[0].text.lower() - assert history[4].role == 'user' - assert history[4].parts[0].text == 'What is the stock price of symbol GOOG?' - assert history[5].role == 'model' - assert history[5].parts[0].function_call.name == 'get_stock_price' - assert history[5].parts[0].function_call.args == {'symbol': 'GOOG'} - assert history[6].role == 'user' - assert history[6].parts[0].function_response.name == 'get_stock_price' - assert history[7].role == 'model' - assert '1000' in history[7].parts[0].text - - -def test_send_message_multi_turn_afc_enabled_FC_FR_parts(client): - chat = client.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather, get_stock_price], - 'automatic_function_calling': {'enable': True}, - }, - history=[ - Content( - role='user', - parts=[Part(text='What is the weather in Boston?')], - ), - Content( - role='model', - parts=[ - Part( - function_call=FunctionCall( - name='get_weather', - args={'city': 'Boston'}, - ), - ), - Part( - function_response=FunctionResponse( - name='get_weather', - response={'weather': 'sunny and 80 degrees'}, - ), - ), - Part(text='The weather is sunny.'), - ], - ), - ] - ) - with pytest_helper.exception_if_vertex(client, ClientError): - chat.send_message('What is the stock price of symbol GOOG?') - - -@pytest.mark.asyncio -async def test_async_send_message_function_tool_afc_disabled(client): - chat = client.aio.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather], - }, - ) - await chat.send_message('What is the weather in Boston?') - history = chat.get_history() - assert len(history) == 2 - assert history[0].role == 'user' - assert history[0].parts[0].text == 'What is the weather in Boston?' - assert history[1].role == 'model' - assert len(history[1].parts) == 1 - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[1].parts[0].function_call.args == {'city': 'Boston'} - - -@pytest.mark.asyncio -async def test_async_send_message_function_tool_afc_enabled(client): - chat = client.aio.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather], - 'automatic_function_calling': {'enable': True}, - }, - ) - await chat.send_message('What is the weather in Boston?') - history = chat.get_history() - assert len(history) == 4 - assert history[0].role == 'user' - assert history[0].parts[0].text == 'What is the weather in Boston?' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[1].parts[0].function_call.args == {'city': 'Boston'} - assert history[2].role == 'user' - assert history[2].parts[0].function_response.name == 'get_weather' - assert history[3].role == 'model' - assert 'sunny' in history[3].parts[0].text.lower() - - -@pytest.mark.asyncio -async def test_async_send_message_function_tool_afc_enabled_multi_turn(client): - chat = client.aio.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather, get_stock_price], - 'automatic_function_calling': {'enable': True}, - }, - ) - await chat.send_message('What is the weather in Boston?') - history = chat.get_history() - assert len(history) == 4 - assert history[0].role == 'user' - assert history[0].parts[0].text == 'What is the weather in Boston?' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[1].parts[0].function_call.args == {'city': 'Boston'} - assert history[2].role == 'user' - assert history[2].parts[0].function_response.name == 'get_weather' - assert history[3].role == 'model' - assert 'sunny' in history[3].parts[0].text.lower() - - await chat.send_message('What is the stock price of symbol GOOG?') - history = chat.get_history() - assert len(history) == 8 - assert history[0].role == 'user' - assert history[0].parts[0].text == 'What is the weather in Boston?' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[1].parts[0].function_call.args == {'city': 'Boston'} - assert history[2].role == 'user' - assert history[2].parts[0].function_response.name == 'get_weather' - assert history[3].role == 'model' - assert 'sunny' in history[3].parts[0].text.lower() - assert history[4].role == 'user' - assert history[4].parts[0].text == 'What is the stock price of symbol GOOG?' - assert history[5].role == 'model' - assert history[5].parts[0].function_call.name == 'get_stock_price' - assert history[5].parts[0].function_call.args == {'symbol': 'GOOG'} - assert history[6].role == 'user' - assert history[6].parts[0].function_response.name == 'get_stock_price' - assert history[7].role == 'model' - assert '1000' in history[7].parts[0].text diff --git a/google/genai/tests/private/test_send_message_stream_private.py b/google/genai/tests/private/test_send_message_stream_private.py deleted file mode 100644 index 5743e6704..000000000 --- a/google/genai/tests/private/test_send_message_stream_private.py +++ /dev/null @@ -1,273 +0,0 @@ -# Copyright 2025 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -"""Tests for private send_message_stream.""" - -import pytest - -from .. import pytest_helper -from ..models import test_generate_content_tools - - -pytestmark = [ - pytest_helper.setup( - file=__file__, - globals_for_file=globals(), - ), - pytest.mark.skipif( - "not config.getoption('--private')", - reason="This test file is only intended for the private SDK", - ), -] - - -MODEL_NAME = 'gemini-3.1-pro-preview' -get_weather = test_generate_content_tools.get_weather -get_stock_price = test_generate_content_tools.get_stock_price - - -def test_send_message_stream_function_tool_afc_disabled(client): - chat = client.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather], - }, - ) - for chunk in chat.send_message_stream('What is the weather in Boston?'): - pass - history = chat.get_history() - assert len(history) == 3 - assert history[0].role == 'user' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[2].role == 'model' - assert history[2].parts[0].text == '' - - -def test_send_message_stream_function_tool_afc_enabled(client): - chat = client.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather], - 'automatic_function_calling': {'enable': True}, - }, - ) - for chunk in chat.send_message_stream('What is the weather in Boston?'): - pass - history = chat.get_history() - assert len(history) == 6 - assert history[0].role == 'user' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[2].role == 'model' - assert history[2].parts[0].text == '' - assert history[3].role == 'user' - assert history[3].parts[0].function_response.name == 'get_weather' - assert history[4].role == 'model' - assert 'Boston' in history[4].parts[0].text - assert history[5].role == 'model' - assert history[5].parts[0].text == '' - - -def test_send_message_stream_function_tool_afc_enabled_multi_turn(client): - chat = client.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather, get_stock_price], - 'automatic_function_calling': {'enable': True}, - }, - ) - for chunk in chat.send_message_stream('What is the weather in Boston?'): - pass - history = chat.get_history() - - if client.vertexai: - assert len(history) == 7 - assert history[0].role == 'user' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[2].role == 'model' - assert history[2].parts[0].text == '' - assert history[3].role == 'user' - assert history[3].parts[0].function_response.name == 'get_weather' - assert history[4].role == 'model' - assert 'Boston' in history[4].parts[0].text - assert history[5].role == 'model' - assert '100' in history[5].parts[0].text - assert history[6].role == 'model' - assert history[6].parts[0].text == '' - else: - assert len(history) == 6 - assert history[0].role == 'user' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[2].role == 'model' - assert history[2].parts[0].text == '' - assert history[3].role == 'user' - assert history[3].parts[0].function_response.name == 'get_weather' - assert history[4].role == 'model' - assert 'Boston' in history[4].parts[0].text - assert history[5].role == 'model' - - for chunk in chat.send_message_stream('What is the stock price of symbol GOOG?'): - pass - history = chat.get_history() - - if client.vertexai: - assert len(history) == 14 - assert history[7].role == 'user' - assert history[8].role == 'model' - assert history[8].parts[0].function_call.name == 'get_stock_price' - assert history[9].role == 'model' - assert history[9].parts[0].text == '' - assert history[10].role == 'user' - assert history[10].parts[0].function_response.name == 'get_stock_price' - assert history[11].role == 'model' - assert 'GOOG' in history[11].parts[0].text - assert history[12].role == 'model' - assert '1000' in history[12].parts[0].text - assert history[13].role == 'model' - assert history[13].parts[0].text == '' - else: - assert len(history) == 13 - assert history[6].role == 'user' - assert history[7].role == 'model' - assert history[7].parts[0].function_call.name == 'get_stock_price' - assert history[8].role == 'model' - assert history[8].parts[0].text == '' - assert history[9].role == 'user' - assert history[9].parts[0].function_response.name == 'get_stock_price' - assert history[10].role == 'model' - assert 'GOOG' in history[10].parts[0].text - assert history[11].role == 'model' - assert '1000' in history[11].parts[0].text - assert history[12].role == 'model' - assert history[12].parts[0].text == '' - - -@pytest.mark.asyncio -async def test_async_send_message_stream_function_tool_afc_disabled(client): - chat = client.aio.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather], - }, - ) - async for chunk in await chat.send_message_stream( - 'What is the weather in Boston?' - ): - pass - history = chat.get_history() - assert len(history) == 3 - assert history[0].role == 'user' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[2].role == 'model' - assert history[2].parts[0].text == '' - - -@pytest.mark.asyncio -async def test_async_send_message_stream_function_tool_afc_enabled(client): - chat = client.aio.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather], - 'automatic_function_calling': {'enable': True}, - }, - ) - async for chunk in await chat.send_message_stream( - 'What is the weather in Boston?' - ): - pass - history = chat.get_history() - if client.vertexai: - assert len(history) == 6 - assert history[0].role == 'user' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[2].role == 'model' - assert history[2].parts[0].text == '' - assert history[3].role == 'user' - assert history[3].parts[0].function_response.name == 'get_weather' - assert history[4].role == 'model' - assert 'Boston' in history[4].parts[0].text - assert history[5].parts[0].text == '' - else: - assert len(history) == 7 - assert history[0].role == 'user' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[2].role == 'model' - assert history[2].parts[0].text == '' - assert history[3].role == 'user' - assert history[3].parts[0].function_response.name == 'get_weather' - assert history[4].role == 'model' - assert 'Boston' in history[4].parts[0].text - assert history[5].role == 'model' - assert 'degrees' in history[5].parts[0].text - assert history[6].role == 'model' - assert history[6].parts[0].text == '' - - -@pytest.mark.asyncio -async def test_async_send_message_stream_function_tool_afc_enabled_multi_turn( - client, -): - chat = client.aio.chats.create( - model=MODEL_NAME, - config={ - 'tools': [get_weather, get_stock_price], - 'automatic_function_calling': {'enable': True}, - }, - ) - async for _ in await chat.send_message_stream( - 'What is the weather in Boston?' - ): - pass - history = chat.get_history() - - assert len(history) == 6 - assert history[0].role == 'user' - assert history[1].role == 'model' - assert history[1].parts[0].function_call.name == 'get_weather' - assert history[2].role == 'model' - assert history[2].parts[0].text == '' - assert history[3].role == 'user' - assert history[3].parts[0].function_response.name == 'get_weather' - assert history[4].role == 'model' - assert 'Boston' in history[4].parts[0].text - assert history[5].role == 'model' - assert history[5].parts[0].text == '' - - async for _ in await chat.send_message_stream( - 'What is the stock price of symbol GOOG?' - ): - pass - history = chat.get_history() - - assert len(history) == 13 - assert history[6].role == 'user' - assert history[7].role == 'model' - assert history[7].parts[0].function_call.name == 'get_stock_price' - assert history[8].role == 'model' - assert history[8].parts[0].text == '' - assert history[9].role == 'user' - assert history[9].parts[0].function_response.name == 'get_stock_price' - assert history[10].role == 'model' - assert 'stock' in history[10].parts[0].text - assert history[11].role == 'model' - assert '1000' in history[11].parts[0].text - assert history[12].role == 'model' - assert history[12].parts[0].text == '' diff --git a/google/genai/tests/pytest_helper.py b/google/genai/tests/pytest_helper.py index f22f1e8bb..dd8797e85 100644 --- a/google/genai/tests/pytest_helper.py +++ b/google/genai/tests/pytest_helper.py @@ -38,6 +38,10 @@ class TestTableItem(types.TestTableItem): parameters: SerializeAsAny[BaseModel] = Field( description="""The parameters to the test. Use pydantic models.""", ) + skip_in_private: Optional[str] = Field( + default=None, + description="""When set to a reason string, this test will be skipped in private SDK mode.""", + ) def base_test_function( @@ -48,6 +52,11 @@ def base_test_function( test_table_item: TestTableItem, globals_for_file: dict[str, Any], ): + if ( + getattr(client._api_client, '_private', False) + and test_table_item.skip_in_private + ): + pytest.skip(test_table_item.skip_in_private) replay_id = ( test_table_item.override_replay_id if test_table_item.override_replay_id diff --git a/google/genai/types.py b/google/genai/types.py index 5b2a1280a..78266988b 100644 --- a/google/genai/types.py +++ b/google/genai/types.py @@ -2011,7 +2011,10 @@ def from_mcp_response( ' imported.' ) - if getattr(response, 'is_error', getattr(response, 'isError', False)): + is_error = getattr( + response, 'isError', getattr(response, 'is_error', False) + ) + if is_error: return cls(name=name, response={'error': 'MCP response is error.'}) else: return cls(name=name, response={'result': response.content}) From cc0d42e84583ed927b6c0dfae38da7f5f544b2da Mon Sep 17 00:00:00 2001 From: Google Team Member Date: Wed, 12 Aug 2026 16:37:31 -0700 Subject: [PATCH 18/19] feat: Make speech_config a structured object. PiperOrigin-RevId: 963727286 --- .../_gaos/types/interactions/__init__.py | 11 ++++ .../types/interactions/generationconfig.py | 25 ++++++--- .../_gaos/types/interactions/speakerconfig.py | 54 +++++++++++++++++++ 3 files changed, 84 insertions(+), 6 deletions(-) create mode 100644 google/genai/_gaos/types/interactions/speakerconfig.py diff --git a/google/genai/_gaos/types/interactions/__init__.py b/google/genai/_gaos/types/interactions/__init__.py index 3ba034039..2dbba7047 100644 --- a/google/genai/_gaos/types/interactions/__init__.py +++ b/google/genai/_gaos/types/interactions/__init__.py @@ -162,6 +162,8 @@ from .generationconfig import ( GenerationConfig, GenerationConfigParam, + SpeechConfigUnion, + SpeechConfigUnionParam, ToolChoice, ToolChoiceParam, ) @@ -325,6 +327,7 @@ from .servicetier import ServiceTier from .sessionconfig import SessionConfig, SessionConfigParam from .source import Source, SourceParam, SourceType + from .speakerconfig import SpeakerConfig, SpeakerConfigParam from .speechconfig import SpeechConfig, SpeechConfigParam from .staticmediaprocessing import StaticMediaProcessing, StaticMediaProcessingParam from .status import Status, StatusParam @@ -676,8 +679,12 @@ "Source", "SourceParam", "SourceType", + "SpeakerConfig", + "SpeakerConfigParam", "SpeechConfig", "SpeechConfigParam", + "SpeechConfigUnion", + "SpeechConfigUnionParam", "StaticMediaProcessing", "StaticMediaProcessingParam", "Status", @@ -915,6 +922,8 @@ "UnknownFunctionResultSubcontent": ".functionresultsubcontent", "GenerationConfig": ".generationconfig", "GenerationConfigParam": ".generationconfig", + "SpeechConfigUnion": ".generationconfig", + "SpeechConfigUnionParam": ".generationconfig", "ToolChoice": ".generationconfig", "ToolChoiceParam": ".generationconfig", "GoogleMaps": ".googlemaps", @@ -1061,6 +1070,8 @@ "Source": ".source", "SourceParam": ".source", "SourceType": ".source", + "SpeakerConfig": ".speakerconfig", + "SpeakerConfigParam": ".speakerconfig", "SpeechConfig": ".speechconfig", "SpeechConfigParam": ".speechconfig", "StaticMediaProcessing": ".staticmediaprocessing", diff --git a/google/genai/_gaos/types/interactions/generationconfig.py b/google/genai/_gaos/types/interactions/generationconfig.py index ca3ebaa9f..55dc1885c 100644 --- a/google/genai/_gaos/types/interactions/generationconfig.py +++ b/google/genai/_gaos/types/interactions/generationconfig.py @@ -19,6 +19,7 @@ from __future__ import annotations from .. import BaseModel, UNSET_SENTINEL from .imageconfig import ImageConfig, ImageConfigParam +from .speakerconfig import SpeakerConfig, SpeakerConfigParam from .speechconfig import SpeechConfig, SpeechConfigParam from .thinkinglevel import ThinkingLevel from .thinkingsummaries import ThinkingSummaries @@ -42,6 +43,18 @@ r"""The tool choice configuration.""" +SpeechConfigUnionParam = TypeAliasType( + "SpeechConfigUnionParam", Union[SpeakerConfigParam, List[SpeechConfigParam]] +) +r"""Optional. Speech and multi-speaker configuration.""" + + +SpeechConfigUnion = TypeAliasType( + "SpeechConfigUnion", Union[SpeakerConfig, List[SpeechConfig]] +) +r"""Optional. Speech and multi-speaker configuration.""" + + class GenerationConfigParam(TypedDict): r"""Configuration parameters for model interactions.""" @@ -51,8 +64,6 @@ class GenerationConfigParam(TypedDict): r"""The maximum number of tokens to include in the response.""" seed: NotRequired[int] r"""Seed used in decoding for reproducibility.""" - speech_config: NotRequired[List[SpeechConfigParam]] - r"""Configuration for speech interaction.""" stop_sequences: NotRequired[List[str]] r"""A list of character sequences that will stop output interaction.""" thinking_level: NotRequired[ThinkingLevel] @@ -63,6 +74,8 @@ class GenerationConfigParam(TypedDict): r"""Configuration for speech recognition (transcription).""" video_config: NotRequired[VideoConfigParam] r"""Configuration options for video generation.""" + speech_config: NotRequired[SpeechConfigUnionParam] + r"""Optional. Speech and multi-speaker configuration.""" class GenerationConfig(BaseModel): @@ -82,9 +95,6 @@ class GenerationConfig(BaseModel): seed: Optional[int] = None r"""Seed used in decoding for reproducibility.""" - speech_config: Optional[List[SpeechConfig]] = None - r"""Configuration for speech interaction.""" - stop_sequences: Optional[List[str]] = None r"""A list of character sequences that will stop output interaction.""" @@ -101,6 +111,9 @@ class GenerationConfig(BaseModel): video_config: Optional[VideoConfig] = None r"""Configuration options for video generation.""" + speech_config: Optional[SpeechConfigUnion] = None + r"""Optional. Speech and multi-speaker configuration.""" + @model_serializer(mode="wrap") def serialize_model(self, handler): optional_fields = set( @@ -108,13 +121,13 @@ def serialize_model(self, handler): "image_config", "max_output_tokens", "seed", - "speech_config", "stop_sequences", "thinking_level", "thinking_summaries", "tool_choice", "transcription_config", "video_config", + "speech_config", ] ) serialized = handler(self) diff --git a/google/genai/_gaos/types/interactions/speakerconfig.py b/google/genai/_gaos/types/interactions/speakerconfig.py new file mode 100644 index 000000000..afae1ae5d --- /dev/null +++ b/google/genai/_gaos/types/interactions/speakerconfig.py @@ -0,0 +1,54 @@ +# Copyright 2026 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# pyformat: disable + +"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.""" + +from __future__ import annotations +from .. import BaseModel, UNSET_SENTINEL +from .speechconfig import SpeechConfig, SpeechConfigParam +from pydantic import model_serializer +from typing import List, Optional +from typing_extensions import NotRequired, TypedDict + + +class SpeakerConfigParam(TypedDict): + r"""Configuration for multi-speaker and speech generation.""" + + speakers: NotRequired[List[SpeechConfigParam]] + r"""Individual speaker configurations.""" + + +class SpeakerConfig(BaseModel): + r"""Configuration for multi-speaker and speech generation.""" + + speakers: Optional[List[SpeechConfig]] = None + r"""Individual speaker configurations.""" + + @model_serializer(mode="wrap") + def serialize_model(self, handler): + optional_fields = set(["speakers"]) + serialized = handler(self) + m = {} + + for n, f in type(self).model_fields.items(): + k = f.alias or n + val = serialized.get(k, serialized.get(n)) + + if val != UNSET_SENTINEL: + if val is not None or k not in optional_fields: + m[k] = val + + return m From 3299af6e112355ae91d20b80f0d6e0fefaf2d18e Mon Sep 17 00:00:00 2001 From: "release-please[bot]" <55107282+release-please[bot]@users.noreply.github.com> Date: Wed, 12 Aug 2026 17:00:22 -0700 Subject: [PATCH 19/19] chore(main): release 2.18.0 (#2830) Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com> --- CHANGELOG.md | 23 +++++++++++++++++++++++ google/genai/version.py | 2 +- pyproject.toml | 2 +- 3 files changed, 25 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index bb0d8ea2d..fc6548877 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,28 @@ # Changelog +## [2.18.0](https://github.com/googleapis/python-genai/compare/v2.17.0...v2.18.0) (2026-08-12) + + +### Features + +* Add interaction_status to LiveServerContent ([66e224c](https://github.com/googleapis/python-genai/commit/66e224c39c9527e0fef3a4f049ac33ec941e2f99)) +* **api:** Make the deferred service tier publicly available on Vertex ([e1f7c40](https://github.com/googleapis/python-genai/commit/e1f7c40f0a831f25ee71294fc8c195576d5fd126)) +* Enable json schema in FunctionDeclaration parser ([62d50d6](https://github.com/googleapis/python-genai/commit/62d50d6f172da5d6efa30838ab92da95b1327b5e)) +* Make speech_config a structured object. ([cc0d42e](https://github.com/googleapis/python-genai/commit/cc0d42e84583ed927b6c0dfae38da7f5f544b2da)) +* Support injecting httpx2 client. ([012804d](https://github.com/googleapis/python-genai/commit/012804d9b649a20da46a6041e37d126b9a0b79e0)), refs [#2680](https://github.com/googleapis/python-genai/issues/2680) + + +### Bug Fixes + +* Improve AFC(automatic function calling) in chat including fixing bugs in AFC for generate_content_stream. also log warnings in generate_content, generate_content_stream and their async variants that AFC is meant to be used in chat experience, not directly in models module. ([fe6118e](https://github.com/googleapis/python-genai/commit/fe6118e3c7a9e83406bc722e34b7efca75f1ef13)) + + +### Performance Improvements + +* Build model validators on first use instead of at import ([66bfe95](https://github.com/googleapis/python-genai/commit/66bfe956f7a8b6c8d7c7eb949a9b6a499a4e2860)), refs [#2784](https://github.com/googleapis/python-genai/issues/2784) +* Lazily import the interactions API to speed up import google.genai ([89dcfe5](https://github.com/googleapis/python-genai/commit/89dcfe5b28f5e794f9a5ac84e2d45e9e7b7bd803)) +* Stop importing the requests HTTP stack at module scope ([3a44936](https://github.com/googleapis/python-genai/commit/3a44936ea783363489967bd9d219fb26401585dd)) + ## [2.17.0](https://github.com/googleapis/python-genai/compare/v2.16.0...v2.17.0) (2026-08-06) diff --git a/google/genai/version.py b/google/genai/version.py index 602b199e4..5b34e530c 100644 --- a/google/genai/version.py +++ b/google/genai/version.py @@ -13,4 +13,4 @@ # limitations under the License. # -__version__ = '2.17.0' # x-release-please-version +__version__ = '2.18.0' # x-release-please-version diff --git a/pyproject.toml b/pyproject.toml index b58055fa4..0987a777e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,7 +3,7 @@ requires = ["setuptools", "wheel", "twine>=6.1.0", "packaging>=24.2", "pkginfo>= [project] name = "google-genai" -version = "2.17.0" +version = "2.18.0" description = "GenAI Python SDK" readme = "README.md" license = "Apache-2.0"