fix(converse_transformation.py): handle cross region model name when …

…getting openai param support

Fixes #6291

litellm/llms/bedrock/chat/converse_transformation.py

@@ -82,15 +82,19 @@ def get_supported_openai_params(self, model: str) -> List[str]:
             "response_format",
         ]
 
+        ## Filter out 'cross-region' from model name
+        base_model = self._get_base_model(model)
+
         if (
-            model.startswith("anthropic")
-            or model.startswith("mistral")
-            or model.startswith("cohere")
-            or model.startswith("meta.llama3-1")
+            base_model.startswith("anthropic")
+            or base_model.startswith("mistral")
+            or base_model.startswith("cohere")
+            or base_model.startswith("meta.llama3-1")
+            or base_model.startswith("meta.llama3-2")
         ):
             supported_params.append("tools")
 
-        if model.startswith("anthropic") or model.startswith("mistral"):
+        if base_model.startswith("anthropic") or base_model.startswith("mistral"):
             # only anthropic and mistral support tool choice config. otherwise (E.g. cohere) will fail the call - https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_ToolChoice.html
             supported_params.append("tool_choice")
 

tests/llm_translation/test_optional_params.py

@@ -84,13 +84,41 @@ def test_bedrock_optional_params_embeddings():
     ],
 )
 def test_bedrock_optional_params_completions(model):
-    litellm.drop_params = True
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "structure_output",
+                "description": "Send structured output back to the user",
+                "strict": True,
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "reasoning": {"type": "string"},
+                        "sentiment": {"type": "string"},
+                    },
+                    "required": ["reasoning", "sentiment"],
+                    "additionalProperties": False,
+                },
+                "additionalProperties": False,
+            },
+        }
+    ]
     optional_params = get_optional_params(
-        model=model, max_tokens=10, temperature=0.1, custom_llm_provider="bedrock"
+        model=model,
+        max_tokens=10,
+        temperature=0.1,
+        tools=tools,
+        custom_llm_provider="bedrock",
     )
     print(f"optional_params: {optional_params}")
-    assert len(optional_params) == 3
-    assert optional_params == {"maxTokens": 10, "stream": False, "temperature": 0.1}
+    assert len(optional_params) == 4
+    assert optional_params == {
+        "maxTokens": 10,
+        "stream": False,
+        "temperature": 0.1,
+        "tools": tools,
+    }
 
 
 @pytest.mark.parametrize(