fix(anthropic): strip Claude Code identity on Anthropic->OpenAI translation bridge

The identity-strip gate only ran on the Anthropic messages parse path,
so providers routed through the chat-completions translation bridge
(e.g. hosted_vllm/* with use_chat_completions_api) forwarded the Claude
Code system sentence verbatim to non-Claude models.

Promote strip_claude_code_identity_from_system to common_utils and call it
from translate_anthropic_to_openai so those providers are scrubbed too.

litellm/llms/anthropic/common_utils.py

@@ -120,6 +120,45 @@ def strip_claude_code_identity(text: str) -> str | None:
     return text
 
 
+def strip_claude_code_identity_from_system(system_param: str | list | None) -> str | list | None:
+    """Strip Claude Code's self-identification sentence from a full system parameter.
+
+    Unlike :func:`strip_claude_code_identity`, which operates on a single text
+    block, this handles the whole ``system`` value of an Anthropic Messages
+    request -- either a plain string or a list of system content blocks.
+    Non-text blocks are kept as-is; text blocks have the identity sentence
+    removed, and are dropped entirely when it was the only content.
+
+    Returns ``None`` when every block was dropped so callers can remove the whole
+    ``system`` parameter.
+    """
+    if isinstance(system_param, str):
+        return strip_claude_code_identity(system_param)
+    if isinstance(system_param, list):
+        filtered_list: Final = []  # mutable-ok: API message payload
+        for content_block in system_param:
+            if isinstance(content_block, dict):
+                text = content_block.get("text", "")
+                content_type = content_block.get("type", "")
+                if content_type != "text":
+                    filtered_list.append(content_block)
+                    continue
+                stripped_text = strip_claude_code_identity(text)
+                if stripped_text is None:
+                    continue
+                # Only copy the block when the text changed.
+                if stripped_text == text:
+                    filtered_list.append(content_block)
+                else:
+                    rewritten = {**content_block, "text": stripped_text}  # mutable-ok: API message payload
+                    filtered_list.append(rewritten)
+            else:
+                # Keep non-dict items as-is.
+                filtered_list.append(content_block)
+        return filtered_list if len(filtered_list) > 0 else None
+    return system_param
+
+
 def _validated_claude_code_mapping(value: object) -> dict[object, object] | None:
     try:
         return _CLAUDE_CODE_OBJECT_MAPPING_ADAPTER.validate_python(value)

litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py

@@ -5,6 +5,7 @@ from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
 from typing import TYPE_CHECKING, Any, Final, Literal, TypeAlias, TypeVar, cast
 
 import litellm
+from litellm.llms.anthropic.common_utils import strip_claude_code_identity_from_system
 from litellm.llms.anthropic.experimental_pass_through.utils import (
     is_reasoning_auto_summary_enabled,
     prompt_cache_key_from_user_id,
@@ -1212,6 +1213,19 @@ class LiteLLMAnthropicMessagesAdapter:
         new_messages: list[AllMessageValues] = []
         tool_name_mapping: dict[str, str] = {}
 
+        # Strip Claude Code's self-identification from the system prompt before
+        # translating to an OpenAI chat-completions request. This bridge only runs
+        # for non-Anthropic models (first-party servers take the native
+        # AnthropicMessagesConfig path), so "You are Claude Code" is always a
+        # false self-description here and must not reach the target model.
+        system_param: Final = anthropic_message_request.get("system")
+        if system_param is not None:
+            stripped_system = strip_claude_code_identity_from_system(system_param)
+            if stripped_system is None:
+                anthropic_message_request.pop("system", None)
+            elif stripped_system != system_param:
+                anthropic_message_request["system"] = stripped_system
+
         ## CONVERT ANTHROPIC MESSAGES TO OPENAI
         messages_list: Final[list[AllAnthropicPassThroughMessageValues]] = cast(
             list[AllAnthropicPassThroughMessageValues],

litellm/llms/anthropic/experimental_pass_through/messages/transformation.py

@@ -25,7 +25,7 @@ from ...common_utils import (
     AnthropicModelInfo,
     optionally_handle_anthropic_oauth,
     strip_advisor_blocks_from_messages,
-    strip_claude_code_identity,
+    strip_claude_code_identity_from_system,
     strip_encrypted_reasoning_blocks_from_anthropic_messages,
 )
 from .mid_conversation_system import (
@@ -147,32 +147,7 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig):
         Returns:
             System parameter with the identity sentence removed, or None if all content was removed
         """
-        if isinstance(system_param, str):
+        return strip_claude_code_identity_from_system(system_param)
-            return strip_claude_code_identity(system_param)
-        elif isinstance(system_param, list):
-            filtered_list: Final = []  # mutable-ok: API message payload
-            for content_block in system_param:
-                if isinstance(content_block, dict):
-                    text = content_block.get("text", "")
-                    content_type = content_block.get("type", "")
-                    if content_type != "text":
-                        filtered_list.append(content_block)
-                        continue
-                    stripped_text = strip_claude_code_identity(text)
-                    if stripped_text is None:
-                        continue
-                    # Only copy the block when the text changed.
-                    if stripped_text == text:
-                        filtered_list.append(content_block)
-                    else:
-                        rewritten = {**content_block, "text": stripped_text}  # mutable-ok: API message payload
-                        filtered_list.append(rewritten)
-                else:
-                    # Keep non-dict items as-is
-                    filtered_list.append(content_block)
-            return filtered_list if len(filtered_list) > 0 else None
-        else:
-            return system_param
 
     @staticmethod
     def _filter_billing_headers_from_system(system_param):

tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py

@@ -2833,6 +2833,44 @@ def test_translate_completion_input_params_keeps_provider_native_tools():
     assert translated["tools"] == [{"googleMaps": {}}]
 
 
+CLAUDE_CODE_IDENTITY = "You are Claude Code, Anthropic's official CLI for Claude."
+
+
+@pytest.mark.parametrize(
+    "system,expected_system_content",
+    [
+        # Identity sentence alone -> the whole system message is dropped. The bridge
+        # only serves non-Anthropic models, so the first-party case is never here.
+        (CLAUDE_CODE_IDENTITY, None),
+        # Identity followed by the real prompt -> the real prompt survives.
+        (f"{CLAUDE_CODE_IDENTITY}\nYou are an interactive agent.", "You are an interactive agent."),
+        # Non-identity system prompt is passed through untouched.
+        ("You are a helpful assistant.", "You are a helpful assistant."),
+    ],
+)
+def test_translate_anthropic_to_openai_strips_claude_code_identity(system, expected_system_content):
+    """The chat-completions bridge must not forward Claude Code's self-identification upstream."""
+    from litellm.types.llms.anthropic import AnthropicMessagesRequest
+
+    adapter = LiteLLMAnthropicMessagesAdapter()
+    openai_request, _ = adapter.translate_anthropic_to_openai(
+        anthropic_message_request=AnthropicMessagesRequest(
+            model="hosted_vllm/kimi-k3",
+            max_tokens=1024,
+            messages=[{"role": "user", "content": "hi"}],
+            system=system,
+        ),
+        custom_llm_provider="hosted_vllm",
+    )
+
+    system_messages = [m for m in openai_request["messages"] if m["role"] == "system"]
+    if expected_system_content is None:
+        assert system_messages == []
+    else:
+        assert len(system_messages) == 1
+        assert system_messages[0]["content"] == expected_system_content
+
+
 def test_translate_openai_content_to_anthropic_reasoning_content_without_thinking_blocks():
     """
     Test that reasoning_content is converted to thinking block when thinking_blocks is not present.

tests/test_litellm/llms/anthropic/test_anthropic_common_utils.py

@@ -77,6 +77,47 @@ def test_strip_claude_code_identity(text, expected):
     assert strip_claude_code_identity(text) == expected
 
 
+CLAUDE_CODE_IDENTITY = "You are Claude Code, Anthropic's official CLI for Claude."
+
+
+@pytest.mark.parametrize(
+    "system_param,expected",
+    [
+        # String form: identity sentence alone -> drop the whole system param.
+        (CLAUDE_CODE_IDENTITY, None),
+        # String form: identity followed by the real prompt -> keep the real prompt.
+        (f"{CLAUDE_CODE_IDENTITY}\nYou are an interactive agent.", "You are an interactive agent."),
+        # String form: non-identity text is untouched.
+        ("You are a helpful assistant.", "You are a helpful assistant."),
+        # List form: identity text block is dropped, non-text blocks and the
+        # surviving text block are preserved.
+        (
+            [
+                {"type": "text", "text": CLAUDE_CODE_IDENTITY},
+                {"type": "text", "text": "real system prompt"},
+            ],
+            [{"type": "text", "text": "real system prompt"}],
+        ),
+        # List form: identity-only text means every block is dropped.
+        ([{"type": "text", "text": CLAUDE_CODE_IDENTITY}], None),
+        # List form: non-text blocks survive identity stripping untouched.
+        (
+            [
+                {"type": "text", "text": CLAUDE_CODE_IDENTITY},
+                {"type": "text", "text": "real system prompt", "cache_control": {"type": "ephemeral"}},
+            ],
+            [{"type": "text", "text": "real system prompt", "cache_control": {"type": "ephemeral"}}],
+        ),
+    ],
+)
+def test_strip_claude_code_identity_from_system(system_param, expected):
+    from litellm.llms.anthropic.common_utils import (
+        strip_claude_code_identity_from_system,
+    )
+
+    assert strip_claude_code_identity_from_system(system_param) == expected
+
+
 class TestOptionallyHandleAnthropicOAuth:
     """Tests for optionally_handle_anthropic_oauth function."""