move config into sample-config

guardrails_api/config.py

@@ -7,25 +7,5 @@
 and guards will be persisted into postgres. In that case,
 these guards will not be initialized.
 """
-# from guardrails_hub import AtomicFactuality  # noqa
-from guardrails import Guard
-from guardrails.hub import (
-    DetectPII,
-    CompetitorCheck
-)
-
-
-no_guards = Guard()
-no_guards.name = "No Guards"
-
-output_guard = Guard()
-output_guard.name = "Output Guard"
-output_guard.use_many(
-    DetectPII(
-        pii_entities='pii'
-    ),
-    CompetitorCheck(
-        competitors=['OpenAI', 'Anthropic']
-    )
-)
 
+from guardrails import Guard

sample-config.py

@@ -1,71 +1,31 @@
-'''
+"""
 All guards defined here will be initialized, if and only if
 the application is using in memory guards.
 
 The application will use in memory guards if pg_host is left
-undefined. Otherwise, a postgres instance will be started 
+undefined. Otherwise, a postgres instance will be started
 and guards will be persisted into postgres. In that case,
 these guards will not be initialized.
-'''
+"""
 
 from guardrails import Guard
-from guardrails.hub import RegexMatch, ValidChoices, ValidLength #, RestrictToTopic
-
-name_case = Guard(
-    name='name-case',
-    description='Checks that a string is in Name Case format.'
-).use(
-    RegexMatch(regex="^(?:[A-Z][^\s]*\s?)+$")
-)
-
-all_caps = Guard(
-    name='all-caps',
-    description='Checks that a string is all capital.'
-).use(
-    RegexMatch(regex="^[A-Z\\s]*$")
-)
-
-lower_case = Guard(
-    name='lower-case',
-    description='Checks that a string is all lowercase.'
-).use(
-    RegexMatch(regex="^[a-z\\s]*$")
-).use(
-    ValidLength(1, 100)
-).use(
-    ValidChoices(["music", "cooking", "camping", "outdoors"])
+from guardrails.hub import (
+    DetectPII,
+    CompetitorCheck
 )
 
-print(lower_case.to_json())
-
 
+no_guards = Guard()
+no_guards.name = "No Guards"
 
+output_guard = Guard()
+output_guard.name = "Output Guard"
+output_guard.use_many(
+    DetectPII(
+        pii_entities='pii'
+    ),
+    CompetitorCheck(
+        competitors=['OpenAI', 'Anthropic']
+    )
+)
 
-# valid_topics = ["music", "cooking", "camping", "outdoors"]
-# invalid_topics = ["sports", "work", "ai"]
-# all_topics = [*valid_topics, *invalid_topics]
-
-# def custom_llm (text: str, *args, **kwargs):
-#     return [
-#         {
-#             "name": t,
-#             "present": (t in text),
-#             "confidence": 5
-#         }
-#         for t in all_topics
-#     ]
-
-# custom_code_guard = Guard(
-#     name='custom',
-#     description='Uses a custom llm for RestrictToTopic'
-# ).use(
-#     RestrictToTopic(
-#         valid_topics=valid_topics,
-#         invalid_topics=invalid_topics,
-#         llm_callable=custom_llm,
-#         disable_classifier=True,
-#         disable_llm=False,
-#         # Pass this so it doesn't load the bart model
-#         classifier_api_endpoint="https://m-1e7af27102f54c3a9eb9cb11aa4715bd-m.default.model-v2.inferless.com/v2/models/RestrictToTopic_1e7af27102f54c3a9eb9cb11aa4715bd/versions/1/infer",
-#     )
-# )