improve imports

instructor/__init__.py

@@ -1,5 +1,5 @@
 from .function_calls import OpenAISchema, openai_function, openai_schema
-from .dsl import MultiTask, Maybe
+from .dsl import MultiTask, Maybe, Validator, llm_validator
 from .patch import patch
 
 __all__ = [
@@ -9,4 +9,6 @@ __all__ = [
     "Maybe",
     "openai_schema",
     "patch",
+    "Validator",
+    "llm_validator",
 ]

instructor/dsl/__init__.py

@@ -2,5 +2,13 @@ from .completion import ChatCompletion
 from .messages import *
 from .multitask import MultiTask
 from .maybe import Maybe
+from .validators import Validator, llm_validator
 
-__all__ = ["ChatCompletion", "MultiTask", "messages", "Maybe"]
+__all__ = [
+    "ChatCompletion",
+    "MultiTask",
+    "messages",
+    "Maybe",
+    "Validator",
+    "llm_validator",
+]

instructor/dsl/validators.py

@@ -58,8 +58,6 @@ def llm_validator(
             temperature=temperature,
         )  # type: ignore
 
-        print(resp.model_dump_json(indent=2))
-
         # If the response is  not valid, return the reason, this could be used in
         # the future to generate a better response, via reasking mechanism.
         assert resp.is_valid, resp.reason