ci: Add openai to uv typing group

pyproject.toml

@@ -76,6 +76,7 @@ typing = [
     "huggingface-hub>=1.26.1",
     "anthropic>=1.2.0",
     "google-genai>=2.21.0",
+    "openai>=3.7.0",
 ]
 test = [
     "dataclasses ; python_full_version < '3.7'",

sentry_sdk/ai/_openai_completions_api.py

@@ -1,11 +1,13 @@
 from collections.abc import Iterable
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, cast
 
 if TYPE_CHECKING:
-    from typing import Union
+    from typing import TypeGuard, Union
 
     from openai.types.chat import (
         ChatCompletionContentPartParam,
+        ChatCompletionContentPartRefusalParam,
+        ChatCompletionContentPartTextParam,
         ChatCompletionMessageParam,
         ChatCompletionSystemMessageParam,
         ChatCompletionToolUnionParam,
@@ -14,32 +16,34 @@
     from sentry_sdk._types import TextPart, ToolDefinition
 
 
-def _is_system_instruction(message: "ChatCompletionMessageParam") -> bool:
+def _is_system_instruction(
+    message: "ChatCompletionMessageParam",
+) -> "TypeGuard[ChatCompletionSystemMessageParam]":
     return isinstance(message, dict) and message.get("role") == "system"
 
 
 def _get_system_instructions(
     messages: "Iterable[ChatCompletionMessageParam]",
-) -> "list[ChatCompletionMessageParam]":
+) -> "list[ChatCompletionSystemMessageParam]":
     if not isinstance(messages, Iterable):
         return []
 
     return [message for message in messages if _is_system_instruction(message)]
 
 
 def _get_text_items(
-    content: "Union[str, Iterable[ChatCompletionContentPartParam]]",
+    content: "Union[str, Iterable[Union[ChatCompletionContentPartParam, ChatCompletionContentPartTextParam, ChatCompletionContentPartRefusalParam]]]",
 ) -> "list[str]":
     if isinstance(content, str):
         return [content]
 
     if not isinstance(content, Iterable):
         return []
 
-    text_items = []
+    text_items: "list[str]" = []
     for part in content:
         if isinstance(part, dict) and part.get("type") == "text":
-            text = part.get("text", None)
+            text = cast("ChatCompletionContentPartTextParam", part).get("text", None)
             if text is not None:
                 text_items.append(text)
 

sentry_sdk/ai/_openai_responses_api.py

@@ -1,7 +1,7 @@
 from typing import TYPE_CHECKING, Iterable, cast
 
 if TYPE_CHECKING:
-    from typing import Iterable, Union
+    from typing import Iterable, TypeGuard, Union
 
     from openai.types.responses import (
         ResponseInputItemParam,
@@ -15,7 +15,9 @@
     from sentry_sdk._types import TextPart, ToolDefinition
 
 
-def _is_system_instruction(message: "ResponseInputItemParam") -> bool:
+def _is_system_instruction(
+    message: "ResponseInputItemParam",
+) -> "TypeGuard[Union[EasyInputMessageParam, Message]]":
     if not isinstance(message, dict) or not message.get("role") == "system":
         return False
 
@@ -24,7 +26,7 @@ def _is_system_instruction(message: "ResponseInputItemParam") -> bool:
 
 def _get_system_instructions(
     messages: "Union[str, ResponseInputParam]",
-) -> "list[ResponseInputItemParam]":
+) -> "list[Union[EasyInputMessageParam, Message]]":
     if not isinstance(messages, list):
         return []