fix(batches): place mutable-ok tags on the lines the discipline gate flags

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

litellm/batches/batch_line_item_logging.py

@@ -307,9 +307,7 @@ async def _emit_line_event(
         custom_llm_provider=custom_llm_provider,
     )
     for secret_key in _SECRET_PARAM_KEYS:
-        child.litellm_params.pop(
-            secret_key, None
-        )  # mutable-ok: model_call_details holds this same dict  # pyright: ignore[reportUnknownMemberType]  # Logging.litellm_params is untyped upstream
+        child.litellm_params.pop(secret_key, None)  # pyright: ignore[reportUnknownMemberType]  # Logging.litellm_params is untyped upstream
 
     now: Final = datetime.now()  # noqa: DTZ005  # naive to match the logging pipeline start_time
     if result is None:

litellm/llms/anthropic/chat/transformation.py

@@ -2798,8 +2798,9 @@ def anthropic_message_to_model_response(result: Mapping[str, object], speed: str
     return AnthropicConfig().transform_parsed_response(
         completion_response=pydantic_result.model_dump(),
         raw_response=httpx.Response(
-            status_code=200, headers={}
-        ),  # mutable-ok: httpx.Response wants a plain dict of headers
+            status_code=200,
+            headers={},  # mutable-ok: httpx.Response wants a plain dict of headers
+        ),
         model_response=ModelResponse(id=result_id if isinstance(result_id, str) and result_id else None),
         json_mode=None,
         speed=speed,

litellm/llms/bedrock/batches/transformation.py

@@ -106,9 +106,15 @@ def bedrock_batch_line_to_response(
         embedding: Final = model_output.get("embedding")
         return EmbeddingResponse(
             model=model,
-            data=[
-                {"object": "embedding", "index": 0, "embedding": embedding if isinstance(embedding, list) else []}
-            ],  # mutable-ok: EmbeddingResponse takes a plain data list
+            data=[  # mutable-ok: EmbeddingResponse takes a plain data list
+                {  # mutable-ok: plain row dict for EmbeddingResponse.data
+                    "object": "embedding",
+                    "index": 0,
+                    "embedding": embedding
+                    if isinstance(embedding, list)
+                    else [],  # mutable-ok: empty fallback for the row
+                }
+            ],
             usage=titan_embedding_usage_from_batch_output(model_output),
         )
     if "output" in model_output: