test: narrow the remaining new test helper parameters from bare dict and object

tests/unit/litellm_core_utils/test_redact_messages.py

@@ -11,7 +11,7 @@ import importlib
 import json
 import os
 import threading
-from collections.abc import AsyncIterator, Mapping
+from collections.abc import AsyncIterator, Iterable, Mapping
 from datetime import datetime
 from types import MappingProxyType, SimpleNamespace
 from typing import Final, Optional, Union
@@ -248,7 +248,9 @@ def _claude_fetch_call() -> ResponseFunctionWebSearch:
     )
 
 
-def _web_call_summaries(calls: object) -> list[tuple[str, str | None, dict[str, object]]]:
+def _web_call_summaries(
+    calls: Mapping[str, object] | Iterable[object],
+) -> list[tuple[str, str | None, dict[str, object]]]:
     items: Final = calls.values() if isinstance(calls, dict) else calls
     return [
         (call.id, call.status, call.action.model_dump(exclude_none=True))

tests/unit/llms/anthropic/chat/test_anthropic_chat_transformation.py

@@ -49,7 +49,11 @@ from litellm.llms.bedrock.claude_platform.transformation import BedrockClaudePla
 from litellm.llms.vertex_ai.vertex_ai_partner_models.anthropic.transformation import (
     VertexAIAnthropicConfig,
 )
-from litellm.types.llms.anthropic import ANTHROPIC_BETA_HEADER_VALUES, ANTHROPIC_TOOL_SEARCH_TOOL_TYPES
+from litellm.types.llms.anthropic import (
+    ANTHROPIC_BETA_HEADER_VALUES,
+    ANTHROPIC_TOOL_SEARCH_TOOL_TYPES,
+    AllAnthropicPassThroughMessageValues,
+)
 from litellm.types.llms.anthropic_messages.anthropic_response import AnthropicMessagesResponse
 from litellm.types.llms.openai import AllMessageValues, ChatCompletionToolCallFunctionChunk
 from litellm.types.utils import ChatCompletionToolCallChunk, Choices, Message, ModelResponse, ServerToolUse, Usage
@@ -3987,7 +3991,7 @@ def test_server_tool_use_is_not_returned_as_a_client_tool_call(
         assert choice.message.content == _PARIS_TEXT
 
 
-def _replayed(*messages: object):
+def _replayed(*messages: Mapping[str, object]) -> list[AllAnthropicPassThroughMessageValues]:
     return anthropic_messages_pt(
         messages=cast(list[AllMessageValues], list(messages)),  # cast-ok: replays history the way clients send it back
         model="claude-opus-5-5",

tests/unit/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py

@@ -1703,7 +1703,11 @@ class TestOpenAIChatCompletionsHandlerStreamingOutput:
                 choices=[StreamingChoices(index=0, delta=delta, finish_reason=finish_reason)],
             )
 
-        def hosted_fetch(tool_input: dict, result: dict, status: Optional[str]) -> dict:
+        def hosted_fetch(
+            tool_input: Mapping[str, str],
+            result: Mapping[str, object],
+            status: Literal["in_progress", "completed"] | None,
+        ) -> dict[str, ResponseFunctionWebSearch]:
             return {
                 "srvtoolu_01Fetch": build_web_search_call(
                     "srvtoolu_01Fetch", tool_input, result, status=status, tool_name="web_fetch"