Handle fireworks ai tool calling response (#10130)

* feat(fireworks_ai/chat): handle tool calling with fireworks ai correctly

Fixes https://github.com/BerriAI/litellm/issues/7209

* fix(utils.py): handle none type in message

* fix: fix model name in test

* fix(utils.py): fix validate check for openai messages

* fix: fix model returned

* fix(main.py): fix text completion routing

* test: update testing

* test: skip test - cohere having RBAC issues

tests/llm_translation/base_llm_unit_tests.py

@@ -896,6 +896,13 @@ class BaseLLMChatTest(ABC):
             assert response is not None
 
             # if the provider did not return any tool calls do not make a subsequent llm api call
+            if response.choices[0].message.content is not None:
+                try:
+                    json.loads(response.choices[0].message.content)
+                    pytest.fail(f"Tool call returned in content instead of tool_calls")
+                except Exception as e:
+                    print(f"Error: {e}")
+                    pass
             if response.choices[0].message.tool_calls is None:
                 return
             # Add any assertions here to check the response