Added LiteLLM to the stack

Development/litellm/cookbook/benchmark/eval_suites_mlflow_autoevals/auto_evals.py

@@ -0,0 +1,30 @@
+from dotenv import load_dotenv
+
+load_dotenv()
+
+import litellm
+
+from autoevals.llm import *
+
+###################
+
+# litellm completion call
+question = "which country has the highest population"
+response = litellm.completion(
+    model="gpt-3.5-turbo",
+    messages=[{"role": "user", "content": question}],
+)
+print(response)
+# use the auto eval Factuality() evaluator
+
+print("calling evaluator")
+evaluator = Factuality()
+result = evaluator(
+    output=response.choices[0]["message"][
+        "content"
+    ],  # response from litellm.completion()
+    expected="India",  # expected output
+    input=question,  # question passed to litellm.completion
+)
+
+print(result)