Fix cached_tokens handling in _extract_usage method (#6719)

* Fix cached_tokens handling in _extract_usage method

Ensure cached_tokens is an integer and handle None safely.

* ruuf format

astrbot/core/agent/handoff.py

@@ -15,7 +15,6 @@ class HandoffTool(FunctionTool, Generic[TContext]):
         tool_description: str | None = None,
         **kwargs,
     ) -> None:
-
         # Avoid passing duplicate `description` to the FunctionTool dataclass.
         # Some call sites (e.g. SubAgentOrchestrator) pass `description` via kwargs
         # to override what the main agent sees, while we also compute a default

astrbot/core/provider/sources/openai_source.py

@@ -589,7 +589,10 @@ class ProviderOpenAIOfficial(Provider):
     def _extract_usage(self, usage: CompletionUsage | dict) -> TokenUsage:
         ptd = getattr(usage, "prompt_tokens_details", None)
         cached = getattr(ptd, "cached_tokens", 0) if ptd else 0
-        prompt_tokens = getattr(usage, "prompt_tokens", 0) or 0
+        cached = (
+            cached if isinstance(cached, int) else 0
+        )  # ptd.cached_tokens 可能为None
+        prompt_tokens = getattr(usage, "prompt_tokens", 0) or 0  # 安全
         completion_tokens = getattr(usage, "completion_tokens", 0) or 0
         cached = cached or 0
         prompt_tokens = prompt_tokens or 0

astrbot/core/utils/requirements_utils.py

@@ -394,7 +394,6 @@ def find_missing_requirements(requirements_path: str) -> set[str] | None:
 def find_missing_requirements_from_lines(
     requirement_lines: Sequence[str],
 ) -> set[str] | None:
-
     required = list(iter_requirements(lines=requirement_lines))
     if not required:
         return set()