Added LiteLLM to the stack

Development/litellm/tests/local_testing/test_bad_params.py

@@ -0,0 +1,106 @@
+#### What this tests ####
+#    This tests chaos monkeys - if random parts of the system are broken / things aren't sent correctly - what happens.
+#    Expect to add more edge cases to this over time.
+
+import os
+import sys
+import traceback
+
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+import litellm
+from litellm import completion, embedding
+from litellm.utils import Message
+
+# litellm.set_verbose = True
+user_message = "Hello, how are you?"
+messages = [{"content": user_message, "role": "user"}]
+model_val = None
+
+
+def test_completion_with_no_model():
+    # test on empty
+    with pytest.raises(TypeError):
+        response = completion(messages=messages)
+
+
+def test_completion_with_empty_model():
+    # test on empty
+    try:
+        response = completion(model=model_val, messages=messages)
+    except Exception as e:
+        print(f"error occurred: {e}")
+        pass
+
+
+def test_completion_invalid_param_cohere():
+    try:
+        litellm.set_verbose = True
+        response = completion(model="command-nightly", messages=messages, seed=12)
+        pytest.fail(f"This should have failed cohere does not support `seed` parameter")
+    except Exception as e:
+        assert isinstance(e, litellm.UnsupportedParamsError)
+        print("got an exception=", str(e))
+        if "cohere does not support parameters: ['seed']" in str(e):
+            pass
+        else:
+            pytest.fail(f"An error occurred {e}")
+
+
+def test_completion_function_call_cohere():
+    try:
+        response = completion(
+            model="command-nightly", messages=messages, functions=["TEST-FUNCTION"]
+        )
+        pytest.fail(f"An error occurred {e}")
+    except Exception as e:
+        print(e)
+        pass
+
+
+def test_completion_function_call_openai():
+    try:
+        messages = [{"role": "user", "content": "What is the weather like in Boston?"}]
+        response = completion(
+            model="gpt-3.5-turbo",
+            messages=messages,
+            functions=[
+                {
+                    "name": "get_current_weather",
+                    "description": "Get the current weather in a given location",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "location": {
+                                "type": "string",
+                                "description": "The city and state, e.g. San Francisco, CA",
+                            },
+                            "unit": {
+                                "type": "string",
+                                "enum": ["celsius", "fahrenheit"],
+                            },
+                        },
+                        "required": ["location"],
+                    },
+                }
+            ],
+        )
+        print(f"response: {response}")
+    except Exception:
+        pass
+
+
+# test_completion_function_call_openai()
+
+
+def test_completion_with_no_provider():
+    # test on empty
+    try:
+        model = "cerebras/btlm-3b-8k-base"
+        response = completion(model=model, messages=messages)
+    except Exception as e:
+        print(f"error occurred: {e}")
+        pass