SDK regeneration

Author: fern-api[bot]

src/zep_cloud/__init__.py

@@ -22,6 +22,7 @@
     EpisodeMentions,
     EpisodeResponse,
     Fact,
+    FactRatingExamples,
     FactRatingInstruction,
     FactsResponse,
     Graph,
@@ -33,6 +34,7 @@
     Message,
     MessageListResponse,
     ModelsFactRatingExamples,
+    ModelsFactRatingInstruction,
     Reranker,
     RoleType,
     SearchFilters,
@@ -72,6 +74,7 @@
     "EpisodeMentions",
     "EpisodeResponse",
     "Fact",
+    "FactRatingExamples",
     "FactRatingInstruction",
     "FactsResponse",
     "Graph",
@@ -84,6 +87,7 @@
     "Message",
     "MessageListResponse",
     "ModelsFactRatingExamples",
+    "ModelsFactRatingInstruction",
     "NotFoundError",
     "Reranker",
     "RoleType",

src/zep_cloud/types/__init__.py

@@ -21,6 +21,7 @@
 from .episode_mentions import EpisodeMentions
 from .episode_response import EpisodeResponse
 from .fact import Fact
+from .fact_rating_examples import FactRatingExamples
 from .fact_rating_instruction import FactRatingInstruction
 from .facts_response import FactsResponse
 from .graph import Graph
@@ -32,6 +33,7 @@
 from .message import Message
 from .message_list_response import MessageListResponse
 from .models_fact_rating_examples import ModelsFactRatingExamples
+from .models_fact_rating_instruction import ModelsFactRatingInstruction
 from .reranker import Reranker
 from .role_type import RoleType
 from .search_filters import SearchFilters
@@ -63,6 +65,7 @@
     "EpisodeMentions",
     "EpisodeResponse",
     "Fact",
+    "FactRatingExamples",
     "FactRatingInstruction",
     "FactsResponse",
     "Graph",
@@ -74,6 +77,7 @@
     "Message",
     "MessageListResponse",
     "ModelsFactRatingExamples",
+    "ModelsFactRatingInstruction",
     "Reranker",
     "RoleType",
     "SearchFilters",

src/zep_cloud/types/fact_rating_examples.py

@@ -0,0 +1,21 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+import pydantic
+from ..core.pydantic_utilities import IS_PYDANTIC_V2, UniversalBaseModel
+
+
+class FactRatingExamples(UniversalBaseModel):
+    high: typing.Optional[str] = None
+    low: typing.Optional[str] = None
+    medium: typing.Optional[str] = None
+
+    if IS_PYDANTIC_V2:
+        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
+    else:
+
+        class Config:
+            frozen = True
+            smart_union = True
+            extra = pydantic.Extra.allow

src/zep_cloud/types/fact_rating_instruction.py

@@ -4,11 +4,11 @@
 
 import pydantic
 from ..core.pydantic_utilities import IS_PYDANTIC_V2, UniversalBaseModel
-from .models_fact_rating_examples import ModelsFactRatingExamples
+from .fact_rating_examples import FactRatingExamples
 
 
 class FactRatingInstruction(UniversalBaseModel):
-    examples: typing.Optional[ModelsFactRatingExamples] = pydantic.Field(default=None)
+    examples: typing.Optional[FactRatingExamples] = pydantic.Field(default=None)
     """
     Examples is a list of examples that demonstrate how facts might be rated based on your instruction. You should provide
     an example of a highly rated example, a low rated example, and a medium (or in between example). For example, if you are rating

src/zep_cloud/types/models_fact_rating_instruction.py

@@ -0,0 +1,35 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+import pydantic
+from ..core.pydantic_utilities import IS_PYDANTIC_V2, UniversalBaseModel
+from .models_fact_rating_examples import ModelsFactRatingExamples
+
+
+class ModelsFactRatingInstruction(UniversalBaseModel):
+    examples: typing.Optional[ModelsFactRatingExamples] = pydantic.Field(default=None)
+    """
+    Examples is a list of examples that demonstrate how facts might be rated based on your instruction. You should provide
+    an example of a highly rated example, a low rated example, and a medium (or in between example). For example, if you are rating
+    based on relevance to a trip planning application, your examples might be:
+    High: "Joe's dream vacation is Bali"
+    Medium: "Joe has a fear of flying",
+    Low: "Joe's favorite food is Japanese",
+    """
+
+    instruction: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    A string describing how to rate facts as they apply to your application. A trip planning application may
+    use something like "relevancy to planning a trip, the user's preferences when traveling,
+    or the user's travel history."
+    """
+
+    if IS_PYDANTIC_V2:
+        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
+    else:
+
+        class Config:
+            frozen = True
+            smart_union = True
+            extra = pydantic.Extra.allow

src/zep_cloud/types/user.py

@@ -6,14 +6,14 @@
 import typing_extensions
 from ..core.pydantic_utilities import IS_PYDANTIC_V2, UniversalBaseModel
 from ..core.serialization import FieldMetadata
-from .fact_rating_instruction import FactRatingInstruction
+from .models_fact_rating_instruction import ModelsFactRatingInstruction
 
 
 class User(UniversalBaseModel):
     created_at: typing.Optional[str] = None
     deleted_at: typing.Optional[str] = None
     email: typing.Optional[str] = None
-    fact_rating_instruction: typing.Optional[FactRatingInstruction] = None
+    fact_rating_instruction: typing.Optional[ModelsFactRatingInstruction] = None
     first_name: typing.Optional[str] = None
     id: typing.Optional[int] = None
     last_name: typing.Optional[str] = None