From dfa26029207781fb1302e20c35a84375afa902af Mon Sep 17 00:00:00 2001
From: yuwk <1729065730@qq.com>
Date: Sat, 5 Sep 2026 10:28:52 +0800
Subject: [PATCH] fix(anthropic): drop superseded adapters tool_reference test
 left over from main merge

Upstream's _tool_result_part refactor now preserves tool_reference blocks as
ChatCompletionToolReferenceObject on the /v1/messages path, so the older
[Loaded tool: ...] text expectation in the adapters test is superseded. The
responses_adapters path (LiteLLMAnthropicToResponsesAPIAdapter) still converts
tool references to loaded-tool text and keeps its own regression test.
---
 ...al_pass_through_adapters_transformation.py | 64 -------------------
 1 file changed, 64 deletions(-)

diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
index 431aa2d15bf..2d74c00071b 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
@@ -1645,70 +1645,6 @@ def test_translate_anthropic_messages_to_openai_tool_result_single_item_backward
     assert tool_message["content"] == "72°F and sunny"
 
 
-@pytest.mark.parametrize(
-    ("tool_references", "expected_content"),
-    [
-        (
-            [{"type": "tool_reference", "tool_name": "get_weather"}],
-            "[Loaded tool: get_weather]",
-        ),
-        (
-            [
-                {"type": "tool_reference", "tool_name": "get_weather"},
-                {"type": "tool_reference", "tool_name": "search_docs"},
-            ],
-            [
-                {"type": "text", "text": "[Loaded tool: get_weather]"},
-                {"type": "text", "text": "[Loaded tool: search_docs]"},
-            ],
-        ),
-    ],
-)
-def test_translate_anthropic_messages_to_openai_tool_reference_results(
-    tool_references: list[dict[str, str]], expected_content: Any
-):
-    anthropic_messages = [
-        AnthopicMessagesAssistantMessageParam(
-            role="assistant",
-            content=[
-                {
-                    "type": "tool_use",
-                    "id": "toolu_tool_search",
-                    "name": "ToolSearch",
-                    "input": {"query": "weather"},
-                }
-            ],
-        ),
-        AnthropicMessagesUserMessageParam(
-            role="user",
-            content=[
-                {
-                    "type": "tool_result",
-                    "tool_use_id": "toolu_tool_search",
-                    "content": tool_references,
-                }
-            ],
-        ),
-    ]
-
-    result = LiteLLMAnthropicMessagesAdapter().translate_anthropic_messages_to_openai(
-        messages=anthropic_messages
-    )
-
-    tool_messages = [
-        message
-        for message in result
-        if isinstance(message, dict) and message.get("role") == "tool"
-    ]
-    assert tool_messages == [
-        {
-            "role": "tool",
-            "tool_call_id": "toolu_tool_search",
-            "content": expected_content,
-        }
-    ]
-
-
 def test_streaming_chunk_with_both_text_and_tool_calls_issue_18238():
     """
     When a streaming choice contains both text content and tool_calls,