[Bug fix] Fixes SambaNova API rejecting requests when message content is passed as a list format (#16612)

* add runwayml_models

* test_call_with_end_user_over_budget

* TestSambanovaContentListHandling

* add _transform_messages for sambanova

litellm/llms/sambanova/chat.py

@@ -4,9 +4,13 @@ Sambanova Chat Completions API
 this is OpenAI compatible - no translation needed / occurs
 """
 
-from typing import Optional, Union
+from typing import Any, Coroutine, List, Literal, Optional, Union, overload
 
+from litellm.litellm_core_utils.prompt_templates.common_utils import (
+    handle_messages_with_content_list_to_str_conversion,
+)
 from litellm.llms.openai.chat.gpt_transformation import OpenAIGPTConfig
+from litellm.types.llms.openai import AllMessageValues
 
 
 class SambanovaConfig(OpenAIGPTConfig):
@@ -92,3 +96,30 @@ class SambanovaConfig(OpenAIGPTConfig):
             elif param in supported_openai_params:
                 optional_params[param] = value
         return optional_params
+
+    @overload
+    def _transform_messages(
+        self, messages: List[AllMessageValues], model: str, is_async: Literal[True]
+    ) -> Coroutine[Any, Any, List[AllMessageValues]]:
+        ...
+
+    @overload
+    def _transform_messages(
+        self,
+        messages: List[AllMessageValues],
+        model: str,
+        is_async: Literal[False] = False,
+    ) -> List[AllMessageValues]:
+        ...
+
+    def _transform_messages(
+        self, messages: List[AllMessageValues], model: str, is_async: bool = False
+    ) -> Union[List[AllMessageValues], Coroutine[Any, Any, List[AllMessageValues]]]:
+        """
+        Transform messages to handle content list conversion.
+        
+        SambaNova API doesn't support content as a list - only string content.
+        This converts content lists like [{"type": "text", "text": "..."}] to strings.
+        """
+        messages = handle_messages_with_content_list_to_str_conversion(messages)
+        return messages

tests/llm_translation/test_sambanova_chat_transformation.py

@@ -0,0 +1,127 @@
+"""
+Unit tests for SambaNova chat message transformation
+"""
+import pytest
+from litellm.llms.sambanova.chat import SambanovaConfig
+
+
+class TestSambanovaContentListHandling:
+    """
+    Test that SambaNova properly transforms content lists to strings
+    """
+    
+    def test_content_list_to_string_transformation(self):
+        """
+        Test content list with text objects is converted to string.
+        
+        SambaNova API doesn't support content as a list - only string content.
+        """
+        config = SambanovaConfig()
+        
+        messages = [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "Hello, how are you?"}
+                ]
+            }
+        ]
+        
+        transformed_messages = config._transform_messages(
+            messages=messages,
+            model="sambanova/gpt-oss-120b",
+            is_async=False
+        )
+        
+        assert len(transformed_messages) == 1
+        assert transformed_messages[0]["role"] == "user"
+        assert isinstance(transformed_messages[0]["content"], str)
+        assert transformed_messages[0]["content"] == "Hello, how are you?"
+    
+    def test_content_list_multiple_text_blocks(self):
+        """
+        Test content list with multiple text blocks is converted to concatenated string.
+        """
+        config = SambanovaConfig()
+        
+        messages = [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "Hello, "},
+                    {"type": "text", "text": "how are you?"}
+                ]
+            }
+        ]
+        
+        transformed_messages = config._transform_messages(
+            messages=messages,
+            model="sambanova/gpt-oss-120b",
+            is_async=False
+        )
+        
+        assert transformed_messages[0]["content"] == "Hello, how are you?"
+    
+    def test_string_content_unchanged(self):
+        """
+        Test that string content is passed through unchanged.
+        """
+        config = SambanovaConfig()
+        
+        messages = [
+            {
+                "role": "user",
+                "content": "Hello, how are you?"
+            }
+        ]
+        
+        transformed_messages = config._transform_messages(
+            messages=messages,
+            model="sambanova/gpt-oss-120b",
+            is_async=False
+        )
+        
+        assert transformed_messages[0]["content"] == "Hello, how are you?"
+    
+    def test_multiple_messages_transformation(self):
+        """
+        Test transformation of multiple messages with mixed content types.
+        """
+        config = SambanovaConfig()
+        
+        messages = [
+            {
+                "role": "system",
+                "content": "You are a helpful assistant."
+            },
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "What is the weather?"}
+                ]
+            },
+            {
+                "role": "assistant",
+                "content": "I need your location."
+            },
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "I'm in "},
+                    {"type": "text", "text": "San Francisco"}
+                ]
+            }
+        ]
+        
+        transformed_messages = config._transform_messages(
+            messages=messages,
+            model="sambanova/gpt-oss-120b",
+            is_async=False
+        )
+        
+        assert len(transformed_messages) == 4
+        assert transformed_messages[0]["content"] == "You are a helpful assistant."
+        assert transformed_messages[1]["content"] == "What is the weather?"
+        assert transformed_messages[2]["content"] == "I need your location."
+        assert transformed_messages[3]["content"] == "I'm in San Francisco"
+