From 924d6d9093cb1c0cb7eac5f9953895f01dc10edd Mon Sep 17 00:00:00 2001
From: Alexander Alderman Webb <alexander.webb@sentry.io>
Date: Tue, 1 Sep 2026 10:58:03 +0200
Subject: [PATCH 1/4] ci: Add google-genai to uv typing group

---
 .../integrations/google_genai/__init__.py     |  12 +-
 sentry_sdk/integrations/google_genai/utils.py | 139 +++++++++++-------
 2 files changed, 94 insertions(+), 57 deletions(-)

diff --git a/sentry_sdk/integrations/google_genai/__init__.py b/sentry_sdk/integrations/google_genai/__init__.py
index 45652c3f71..8e3871595d 100644
--- a/sentry_sdk/integrations/google_genai/__init__.py
+++ b/sentry_sdk/integrations/google_genai/__init__.py
@@ -47,20 +47,20 @@ def __init__(self: "GoogleGenAIIntegration", include_prompts: bool = True) -> No
     @staticmethod
     def setup_once() -> None:
         # Patch sync methods
-        Models.generate_content = _wrap_generate_content(Models.generate_content)
-        Models.generate_content_stream = _wrap_generate_content_stream(
+        Models.generate_content = _wrap_generate_content(Models.generate_content)  # type: ignore[method-assign]
+        Models.generate_content_stream = _wrap_generate_content_stream(  # type: ignore[method-assign]
             Models.generate_content_stream
         )
-        Models.embed_content = _wrap_embed_content(Models.embed_content)
+        Models.embed_content = _wrap_embed_content(Models.embed_content)  # type: ignore[method-assign]
 
         # Patch async methods
-        AsyncModels.generate_content = _wrap_async_generate_content(
+        AsyncModels.generate_content = _wrap_async_generate_content(  # type: ignore[method-assign]
             AsyncModels.generate_content
         )
-        AsyncModels.generate_content_stream = _wrap_async_generate_content_stream(
+        AsyncModels.generate_content_stream = _wrap_async_generate_content_stream(  # type: ignore[method-assign]
             AsyncModels.generate_content_stream
         )
-        AsyncModels.embed_content = _wrap_async_embed_content(AsyncModels.embed_content)
+        AsyncModels.embed_content = _wrap_async_embed_content(AsyncModels.embed_content)  # type: ignore[method-assign]
 
 
 def _wrap_generate_content_stream(f: "Callable[..., Any]") -> "Callable[..., Any]":
diff --git a/sentry_sdk/integrations/google_genai/utils.py b/sentry_sdk/integrations/google_genai/utils.py
index cd2b2bc9a8..66bae2267d 100644
--- a/sentry_sdk/integrations/google_genai/utils.py
+++ b/sentry_sdk/integrations/google_genai/utils.py
@@ -13,6 +13,7 @@
     Optional,
     TypedDict,
     Union,
+    cast,
 )
 
 from google.genai.types import Content, GenerateContentConfig, Part, PartDict
@@ -51,6 +52,8 @@
         GenerateContentResponse,
         Model,
         Tool,
+        ToolUnion,
+        ContentDict,
     )
 
     from sentry_sdk._types import TextPart
@@ -555,7 +558,7 @@ def extract_contents_text(contents: "ContentListUnion") -> "Optional[str]":
 
 
 def _format_tools_for_span(
-    tools: "Iterable[Tool | Callable[..., Any]]",
+    tools: "Iterable[ToolUnion]",
 ) -> "Optional[List[dict[str, Any]]]":
     """Format tools parameter for span data."""
     formatted_tools = []
@@ -604,57 +607,66 @@ def extract_tool_calls(
     tool_calls = []
 
     # Extract from candidates, sometimes tool calls are nested under the content.parts object
-    if getattr(response, "candidates", []):
-        for candidate in response.candidates:
-            if not hasattr(candidate, "content") or not getattr(
-                candidate.content, "parts", []
-            ):
-                continue
+    candidates = getattr(response, "candidates", [])
+    for candidate in candidates:
+        if not hasattr(candidate, "content") or not getattr(
+            candidate.content, "parts", []
+        ):
+            continue
 
-            for part in candidate.content.parts:
-                if getattr(part, "function_call", None):
-                    function_call = part.function_call
-                    tool_call = {
-                        "name": getattr(function_call, "name", None),
-                        "type": "function_call",
-                    }
+        if candidate.content is None or candidate.content.parts is None:
+            continue
+
+        for part in candidate.content.parts:
+            if getattr(part, "function_call", None):
+                function_call = part.function_call
+                tool_call = {
+                    "name": getattr(function_call, "name", None),
+                    "type": "function_call",
+                }
 
-                    # Extract arguments if available
-                    if getattr(function_call, "args", None):
-                        tool_call["arguments"] = safe_serialize(function_call.args)
+                # Extract arguments if available
+                if getattr(function_call, "args", None):
+                    tool_call["arguments"] = safe_serialize(function_call.args)
 
-                    tool_calls.append(tool_call)
+                tool_calls.append(tool_call)
 
     # Extract from automatic_function_calling_history
     # This is the history of tool calls made by the model
-    if getattr(response, "automatic_function_calling_history", None):
-        for content in response.automatic_function_calling_history:
-            if not getattr(content, "parts", None):
-                continue
+    automatic_function_calling_history = getattr(response, "automatic_function_calling_history", None)
+    if automatic_function_calling_history is None:
+        return tool_calls if tool_calls else None
 
-            for part in getattr(content, "parts", []):
-                if getattr(part, "function_call", None):
-                    function_call = part.function_call
-                    tool_call = {
-                        "name": getattr(function_call, "name", None),
-                        "type": "function_call",
-                    }
+    for content in automatic_function_calling_history:
+        if not getattr(content, "parts", None):
+            continue
+
+        for part in getattr(content, "parts", []):
+            if getattr(part, "function_call", None):
+                function_call = part.function_call
+                tool_call = {
+                    "name": getattr(function_call, "name", None),
+                    "type": "function_call",
+                }
 
-                    # Extract arguments if available
-                    if hasattr(function_call, "args"):
-                        tool_call["arguments"] = safe_serialize(function_call.args)
+                # Extract arguments if available
+                if hasattr(function_call, "args"):
+                    tool_call["arguments"] = safe_serialize(function_call.args)
 
-                    tool_calls.append(tool_call)
+                tool_calls.append(tool_call)
 
     return tool_calls if tool_calls else None
 
 
 def _capture_tool_input(
-    args: "tuple[Any, ...]", kwargs: "dict[str, Any]", tool: "Tool"
+    args: "tuple[Any, ...]", kwargs: "dict[str, Any]", tool: "Tool | Callable[..., Any]"
 ) -> "dict[str, Any]":
     """Capture tool input from args and kwargs."""
     tool_input = kwargs.copy() if kwargs else {}
 
+    if not callable(tool):
+        return tool_input
+
     # If we have positional args, try to map them to the function signature
     if args:
         try:
@@ -767,29 +779,35 @@ def sync_wrapped(*args: "Any", **kwargs: "Any") -> "Any":
 
 
 def wrapped_config_with_tools(
-    config: "GenerateContentConfig",
-) -> "GenerateContentConfig":
+    config: "GenerateContentConfig | None",
+) -> "GenerateContentConfig | None":
     """Wrap tools in config to emit execute_tool spans. Tools are sometimes passed directly as
     callable functions as a part of the config object."""
+    if not config:
+        return config
 
-    if not config or not getattr(config, "tools", None):
+    tools = getattr(config, "tools", None)
+    if tools is None:
         return config
 
     result = copy.copy(config)
-    result.tools = [wrapped_tool(tool) for tool in config.tools]
+    result.tools = [wrapped_tool(tool) for tool in tools]
 
     return result
 
 
 def _extract_response_text(
     response: "GenerateContentResponse",
-) -> "Optional[List[str]]":
+) -> "Optional[List[str | None]]":
     """Extract text from response candidates."""
 
     if not response or not getattr(response, "candidates", []):
         return None
 
-    texts = []
+    texts: "list[str | None]" = []
+    if response.candidates is None:
+        return texts if texts else None
+
     for candidate in response.candidates:
         if not hasattr(candidate, "content") or not hasattr(candidate.content, "parts"):
             continue
@@ -811,7 +829,11 @@ def extract_finish_reasons(
     if not response or not getattr(response, "candidates", []):
         return None
 
-    finish_reasons = []
+    finish_reasons: "list[str]" = []
+
+    if response.candidates is None:
+        return finish_reasons if finish_reasons else None
+
     for candidate in response.candidates:
         if getattr(candidate, "finish_reason", None):
             # Convert enum value to string if necessary
@@ -843,16 +865,29 @@ def _transform_system_instruction_one_level(
                     text_parts.append({"type": "text", "content": part.text})
         return text_parts
 
-    if isinstance(system_instructions, dict) and system_instructions.get("text"):
-        return [{"type": "text", "content": system_instructions["text"]}]
+    if isinstance(system_instructions, dict) and "text" in system_instructions:
+        text = cast("PartDict", system_instructions)["text"]
+        if text is None:
+            return []
+
+        return [{"type": "text", "content": text}]
 
     elif can_be_content and isinstance(system_instructions, dict):
-        parts = system_instructions.get("parts", [])
+        parts = cast("ContentDict", system_instructions).get("parts", [])
+        if parts is None:
+            return text_parts
+
         for part in parts:
             if isinstance(part, Part) and isinstance(part.text, str):
                 text_parts.append({"type": "text", "content": part.text})
-            elif isinstance(part, dict) and isinstance(part.get("text"), str):
-                text_parts.append({"type": "text", "content": part["text"]})
+                continue
+
+            if not isinstance(part, dict):
+                continue
+
+            text = part.get("text")
+            if isinstance(text, str):
+                text_parts.append({"type": "text", "content": text})
         return text_parts
 
     return text_parts
@@ -1002,11 +1037,13 @@ def set_span_data_for_response(
             span, SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS, finish_reasons
         )
 
-    if getattr(response, "response_id", None):
-        set_on_span(SPANDATA.GEN_AI_RESPONSE_ID, response.response_id)
+    response_id = getattr(response, "response_id", None)
+    if response_id is not None:
+        set_on_span(SPANDATA.GEN_AI_RESPONSE_ID, response_id)
 
-    if getattr(response, "model_version", None):
-        set_on_span(SPANDATA.GEN_AI_RESPONSE_MODEL, response.model_version)
+    model_version = getattr(response, "model_version", None)
+    if model_version is not None:
+        set_on_span(SPANDATA.GEN_AI_RESPONSE_MODEL, model_version)
 
     usage_data = extract_usage_data(response)
 
@@ -1065,7 +1102,7 @@ def prepare_generate_content_args(
     contents = args[1] if len(args) > 1 else kwargs.get("contents")
     model_name = get_model_name(model)
 
-    config = kwargs.get("config")
+    config: "GenerateContentConfig | None" = kwargs.get("config")
     wrapped_config = wrapped_config_with_tools(config)
     if wrapped_config is not config:
         kwargs["config"] = wrapped_config

From eb003db8c79a629df433cdda8d47eafe680a3003 Mon Sep 17 00:00:00 2001
From: Alexander Alderman Webb <alexander.webb@sentry.io>
Date: Tue, 1 Sep 2026 10:58:26 +0200
Subject: [PATCH 2/4] update lockfile

---
 pyproject.toml |   1 +
 uv.lock        | 145 ++++++++++++++++++++++++++++++++++---------------
 2 files changed, 101 insertions(+), 45 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index f7a0035dab..f744e2ae6a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -74,6 +74,7 @@ typing = [
     "pydantic-ai-slim>=2.23.0",
     "langchain-core>=1.5.3",
     "huggingface-hub>=1.26.1",
+    "google-genai>=2.21.0",
 ]
 test = [
     "dataclasses ; python_full_version < '3.7'",
diff --git a/uv.lock b/uv.lock
index bf2403cdd7..7381ab8a05 100644
--- a/uv.lock
+++ b/uv.lock
@@ -42,6 +42,7 @@ toxgen = [
 typing = [
     { name = "botocore-stubs" },
     { name = "certifi" },
+    { name = "google-genai", specifier = ">=2.21.0" },
     { name = "httpcore", extras = ["asyncio", "http2"] },
     { name = "httpx" },
     { name = "httpx2" },
@@ -653,6 +654,45 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/29/f4/b4de17304026cbd6386d427bc5ece10ec65015e9bfd66e14672350ee5dfb/gevent-26.8.0-cp315-cp315-win_arm64.whl", hash = "sha256:42b8ed34f7aff517fac448ab57084e5e39d6a84a2b6c2b709223d5751c85e657", size = 1594517, upload-time = "2026-08-10T17:00:47.046Z" },
 ]
 
+[[package]]
+name = "google-auth"
+version = "2.57.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+    { name = "pyasn1-modules" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/41/64/55f316b729f92a552d26e00aa3b1542b2e149d0a5efe2842afff0cac7af7/google_auth-2.57.0.tar.gz", hash = "sha256:9b4f96d6a1feb5f7201231f47cfb3de08d8f176f8a61f9e461555116e95a8789", size = 370794, upload-time = "2026-08-25T19:18:26.419Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/00/f3/8508a702c094af5f6e89773f4dfdeee74913df0f41a02c21b5e7dc3d75cd/google_auth-2.57.0-py3-none-any.whl", hash = "sha256:180dafe015cfb62193bea26b677500fab5b9fd51a1e825ebf3ad9b182047ae59", size = 259728, upload-time = "2026-08-24T21:55:08.449Z" },
+]
+
+[package.optional-dependencies]
+requests = [
+    { name = "requests" },
+]
+
+[[package]]
+name = "google-genai"
+version = "2.21.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "anyio" },
+    { name = "distro" },
+    { name = "google-auth", extra = ["requests"] },
+    { name = "httpx" },
+    { name = "pydantic" },
+    { name = "requests" },
+    { name = "sniffio" },
+    { name = "tenacity" },
+    { name = "typing-extensions" },
+    { name = "websockets" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/60/a7/a45f64f22ab9302b55fcbeb32acb6f313690a7748629b01e451aad1817a3/google_genai-2.21.0.tar.gz", hash = "sha256:0ecc11c6a5b9f5e3cc58e77ae5fead00c6719f8a1b2b654b803f514a9a6b64c0", size = 677301, upload-time = "2026-08-31T21:49:14.508Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fb/d7/c2419dd5fedd5803ce09810e4e39561a0a13a960b3f48d2581c12e42af3e/google_genai-2.21.0-py3-none-any.whl", hash = "sha256:36b575034be46a03acd603a852e22a6359f2cdd6b26bb1d65d9b7e0cc7ab3648", size = 1080223, upload-time = "2026-08-31T21:49:12.699Z" },
+]
+
 [[package]]
 name = "googleapis-common-protos"
 version = "1.75.1"
@@ -1673,6 +1713,27 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/19/c7/5f7c636ec43e0c545e28d1f1db71990108306f7bdcb89f069ba97e428e7f/protobuf-7.35.1-py3-none-any.whl", hash = "sha256:4bc97768d8fe4ad6743c8a19403e314511ed9f6d13205b687e52421c023ac1b9", size = 171659, upload-time = "2026-06-11T21:55:39.155Z" },
 ]
 
+[[package]]
+name = "pyasn1"
+version = "0.6.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a4/9a/23310166d960def5897e91fe20e5b724601b02a22e84ba1f94232c0b7f67/pyasn1-0.6.4.tar.gz", hash = "sha256:9c447d8431c947fe4c8febc4ed9e760bc29011a5b01e5c74b67025bd9fb8ce81", size = 151262, upload-time = "2026-07-09T01:12:33.988Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/9a/3b/6163796d69c3977d1e4287bea4a6979161cbbdd170ebb430511e8e1999ce/pyasn1-0.6.4-py3-none-any.whl", hash = "sha256:deda9277cfd454080ec40b207fb6df82206a3a2688735233cdcd8d3d565f088b", size = 84410, upload-time = "2026-07-09T01:12:32.92Z" },
+]
+
+[[package]]
+name = "pyasn1-modules"
+version = "0.4.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pyasn1" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/e9/e6/78ebbb10a8c8e4b61a59249394a4a594c1a7af95593dc933a349c8d00964/pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6", size = 307892, upload-time = "2025-03-28T02:41:22.17Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/47/8d/d529b5d697919ba8c11ad626e835d4039be708a35b0d22de83a269a6682c/pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a", size = 181259, upload-time = "2025-03-28T02:41:19.028Z" },
+]
+
 [[package]]
 name = "pycparser"
 version = "3.0"
@@ -2674,51 +2735,45 @@ wheels = [
 
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 name = "websockets"
-version = "17.0.1"
-source = { registry = "https://pypi.org/simple" }
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 ]
 
 [[package]]

From 0dd0a6881ef132335f0f60b41510cb90fff54a18 Mon Sep 17 00:00:00 2001
From: Alexander Alderman Webb <alexander.webb@sentry.io>
Date: Tue, 1 Sep 2026 11:00:33 +0200
Subject: [PATCH 3/4] run pre-commit

---
 sentry_sdk/integrations/google_genai/utils.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/sentry_sdk/integrations/google_genai/utils.py b/sentry_sdk/integrations/google_genai/utils.py
index 66bae2267d..8fe34b285f 100644
--- a/sentry_sdk/integrations/google_genai/utils.py
+++ b/sentry_sdk/integrations/google_genai/utils.py
@@ -45,6 +45,7 @@
 
 if TYPE_CHECKING:
     from google.genai.types import (
+        ContentDict,
         ContentListUnion,
         ContentUnion,
         ContentUnionDict,
@@ -53,7 +54,6 @@
         Model,
         Tool,
         ToolUnion,
-        ContentDict,
     )
 
     from sentry_sdk._types import TextPart
@@ -633,7 +633,9 @@ def extract_tool_calls(
 
     # Extract from automatic_function_calling_history
     # This is the history of tool calls made by the model
-    automatic_function_calling_history = getattr(response, "automatic_function_calling_history", None)
+    automatic_function_calling_history = getattr(
+        response, "automatic_function_calling_history", None
+    )
     if automatic_function_calling_history is None:
         return tool_calls if tool_calls else None
 

From 0b27e54e114c6743988db89d8f2593032b7a994e Mon Sep 17 00:00:00 2001
From: Alexander Alderman Webb <alexander.webb@sentry.io>
Date: Tue, 1 Sep 2026 13:07:06 +0200
Subject: [PATCH 4/4] re-introduce None safety

---
 sentry_sdk/integrations/google_genai/utils.py | 37 ++++++++++---------
 1 file changed, 19 insertions(+), 18 deletions(-)

diff --git a/sentry_sdk/integrations/google_genai/utils.py b/sentry_sdk/integrations/google_genai/utils.py
index 8fe34b285f..d4304c9912 100644
--- a/sentry_sdk/integrations/google_genai/utils.py
+++ b/sentry_sdk/integrations/google_genai/utils.py
@@ -608,28 +608,29 @@ def extract_tool_calls(
 
     # Extract from candidates, sometimes tool calls are nested under the content.parts object
     candidates = getattr(response, "candidates", [])
-    for candidate in candidates:
-        if not hasattr(candidate, "content") or not getattr(
-            candidate.content, "parts", []
-        ):
-            continue
+    if response is not None:
+        for candidate in candidates:
+            if not hasattr(candidate, "content") or not getattr(
+                candidate.content, "parts", []
+            ):
+                continue
 
-        if candidate.content is None or candidate.content.parts is None:
-            continue
+            if candidate.content is None or candidate.content.parts is None:
+                continue
 
-        for part in candidate.content.parts:
-            if getattr(part, "function_call", None):
-                function_call = part.function_call
-                tool_call = {
-                    "name": getattr(function_call, "name", None),
-                    "type": "function_call",
-                }
+            for part in candidate.content.parts:
+                if getattr(part, "function_call", None):
+                    function_call = part.function_call
+                    tool_call = {
+                        "name": getattr(function_call, "name", None),
+                        "type": "function_call",
+                    }
 
-                # Extract arguments if available
-                if getattr(function_call, "args", None):
-                    tool_call["arguments"] = safe_serialize(function_call.args)
+                    # Extract arguments if available
+                    if getattr(function_call, "args", None):
+                        tool_call["arguments"] = safe_serialize(function_call.args)
 
-                tool_calls.append(tool_call)
+                    tool_calls.append(tool_call)
 
     # Extract from automatic_function_calling_history
     # This is the history of tool calls made by the model