chore: import upstream snapshot with attribution

examples/validators/allm_validator.py

@@ -0,0 +1,48 @@
+import asyncio
+from typing import Annotated
+from pydantic import BaseModel, BeforeValidator
+from instructor import llm_validator, patch
+from openai import AsyncOpenAI
+
+aclient = AsyncOpenAI()
+
+patch()
+
+
+class QuestionAnswerNoEvil(BaseModel):
+    question: str
+    answer: Annotated[
+        str,
+        BeforeValidator(
+            llm_validator("don't say objectionable things", allow_override=True)
+        ),
+    ]
+
+
+async def main():
+    context = "The according to the devil is to live a life of sin and debauchery."
+    question = "What is the meaning of life?"
+
+    try:
+        qa: QuestionAnswerNoEvil = await aclient.chat.completions.create(
+            model="gpt-3.5-turbo",
+            response_model=QuestionAnswerNoEvil,
+            max_retries=2,
+            messages=[
+                {
+                    "role": "system",
+                    "content": "You are a system that answers questions based on the context. Answer exactly what the question asks using the context.",
+                },
+                {
+                    "role": "user",
+                    "content": f"using the context: {context}\n\nAnswer the following question: {question}",
+                },
+            ],
+        )  # type: ignore
+        print(qa)
+    except Exception as e:
+        print(e)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())