refactor: Update baml client
This commit is contained in:
Igor Ilic
parent
6231882c24
commit
236776a69f
13 changed files with 137 additions and 58 deletions
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@ -10,7 +10,7 @@
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# BAML files and re-generate this code using: baml-cli generate
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# baml-cli is available with the baml package.
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__version__ = "0.206.1"
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__version__ = "0.206.0"
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try:
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from baml_py.safe_import import EnsureBamlPyImport
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@ -85,7 +85,7 @@ class BamlAsyncClient:
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system_prompt: str,
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user_prompt: str,
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baml_options: BamlCallOptions = {},
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) -> types.DynamicModel:
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) -> types.DynamicOutputModel:
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# Check if on_tick is provided
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if "on_tick" in baml_options:
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# Use streaming internally when on_tick is provided
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@ -107,7 +107,8 @@ class BamlAsyncClient:
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},
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)
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return typing.cast(
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types.DynamicModel, result.cast_to(types, types, stream_types, False, __runtime__)
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types.DynamicOutputModel,
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result.cast_to(types, types, stream_types, False, __runtime__),
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)
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async def ExtractCategories(
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@ -270,7 +271,7 @@ class BamlStreamClient:
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system_prompt: str,
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user_prompt: str,
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baml_options: BamlCallOptions = {},
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) -> baml_py.BamlStream[stream_types.DynamicModel, types.DynamicModel]:
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) -> baml_py.BamlStream[stream_types.DynamicOutputModel, types.DynamicOutputModel]:
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ctx, result = self.__options.merge_options(baml_options).create_async_stream(
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function_name="AcreateStructuredOutput",
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args={
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@ -279,13 +280,14 @@ class BamlStreamClient:
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"user_prompt": user_prompt,
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},
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)
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return baml_py.BamlStream[stream_types.DynamicModel, types.DynamicModel](
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return baml_py.BamlStream[stream_types.DynamicOutputModel, types.DynamicOutputModel](
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result,
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lambda x: typing.cast(
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stream_types.DynamicModel, x.cast_to(types, types, stream_types, True, __runtime__)
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stream_types.DynamicOutputModel,
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x.cast_to(types, types, stream_types, True, __runtime__),
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),
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lambda x: typing.cast(
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types.DynamicModel, x.cast_to(types, types, stream_types, False, __runtime__)
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types.DynamicOutputModel, x.cast_to(types, types, stream_types, False, __runtime__)
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),
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ctx,
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)
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File diff suppressed because one or more lines are too long
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@ -27,11 +27,11 @@ class LlmResponseParser:
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self,
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llm_response: str,
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baml_options: BamlCallOptions = {},
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) -> types.DynamicModel:
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) -> types.DynamicOutputModel:
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result = self.__options.merge_options(baml_options).parse_response(
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function_name="AcreateStructuredOutput", llm_response=llm_response, mode="request"
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)
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return typing.cast(types.DynamicModel, result)
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return typing.cast(types.DynamicOutputModel, result)
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def ExtractCategories(
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self,
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@ -94,11 +94,11 @@ class LlmStreamParser:
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self,
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llm_response: str,
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baml_options: BamlCallOptions = {},
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) -> stream_types.DynamicModel:
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) -> stream_types.DynamicOutputModel:
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result = self.__options.merge_options(baml_options).parse_response(
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function_name="AcreateStructuredOutput", llm_response=llm_response, mode="stream"
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)
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return typing.cast(stream_types.DynamicModel, result)
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return typing.cast(stream_types.DynamicOutputModel, result)
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def ExtractCategories(
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self,
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@ -27,7 +27,7 @@ class StreamState(BaseModel, typing.Generic[StreamStateValueT]):
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# #########################################################################
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# Generated classes (18)
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# Generated classes (19)
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# #########################################################################
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@ -46,11 +46,16 @@ class DefaultContentPrediction(BaseModel):
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label: typing.Optional["ContentLabel"] = None
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class DynamicInputModel(BaseModel):
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model_config = ConfigDict(extra="allow")
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test: typing.Optional[str] = None
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class DynamicKnowledgeGraph(BaseModel):
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model_config = ConfigDict(extra="allow")
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class DynamicModel(BaseModel):
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class DynamicOutputModel(BaseModel):
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model_config = ConfigDict(extra="allow")
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test: typing.Optional[str] = None
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@ -98,7 +98,7 @@ class BamlSyncClient:
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system_prompt: str,
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user_prompt: str,
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baml_options: BamlCallOptions = {},
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) -> types.DynamicModel:
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) -> types.DynamicOutputModel:
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# Check if on_tick is provided
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if "on_tick" in baml_options:
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stream = self.stream.AcreateStructuredOutput(
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@ -119,7 +119,8 @@ class BamlSyncClient:
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},
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)
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return typing.cast(
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types.DynamicModel, result.cast_to(types, types, stream_types, False, __runtime__)
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types.DynamicOutputModel,
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result.cast_to(types, types, stream_types, False, __runtime__),
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)
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def ExtractCategories(
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@ -277,7 +278,7 @@ class BamlStreamClient:
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system_prompt: str,
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user_prompt: str,
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baml_options: BamlCallOptions = {},
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) -> baml_py.BamlSyncStream[stream_types.DynamicModel, types.DynamicModel]:
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) -> baml_py.BamlSyncStream[stream_types.DynamicOutputModel, types.DynamicOutputModel]:
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ctx, result = self.__options.merge_options(baml_options).create_sync_stream(
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function_name="AcreateStructuredOutput",
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args={
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@ -286,13 +287,14 @@ class BamlStreamClient:
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"user_prompt": user_prompt,
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},
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)
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return baml_py.BamlSyncStream[stream_types.DynamicModel, types.DynamicModel](
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return baml_py.BamlSyncStream[stream_types.DynamicOutputModel, types.DynamicOutputModel](
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result,
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lambda x: typing.cast(
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stream_types.DynamicModel, x.cast_to(types, types, stream_types, True, __runtime__)
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stream_types.DynamicOutputModel,
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x.cast_to(types, types, stream_types, True, __runtime__),
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),
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lambda x: typing.cast(
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types.DynamicModel, x.cast_to(types, types, stream_types, False, __runtime__)
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types.DynamicOutputModel, x.cast_to(types, types, stream_types, False, __runtime__)
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),
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ctx,
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)
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@ -27,8 +27,9 @@ class TypeBuilder(type_builder.TypeBuilder):
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"AudioContent",
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"ContentLabel",
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"DefaultContentPrediction",
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"DynamicInputModel",
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"DynamicKnowledgeGraph",
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"DynamicModel",
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"DynamicOutputModel",
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"Edge",
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"ImageContent",
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"KnowledgeGraph",
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@ -53,7 +54,7 @@ class TypeBuilder(type_builder.TypeBuilder):
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# #########################################################################
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# #########################################################################
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# Generated classes 18
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# Generated classes 19
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# #########################################################################
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@property
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@ -68,13 +69,17 @@ class TypeBuilder(type_builder.TypeBuilder):
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def DefaultContentPrediction(self) -> "DefaultContentPredictionViewer":
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return DefaultContentPredictionViewer(self)
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@property
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def DynamicInputModel(self) -> "DynamicInputModelBuilder":
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return DynamicInputModelBuilder(self)
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@property
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def DynamicKnowledgeGraph(self) -> "DynamicKnowledgeGraphBuilder":
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return DynamicKnowledgeGraphBuilder(self)
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@property
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def DynamicModel(self) -> "DynamicModelBuilder":
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return DynamicModelBuilder(self)
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def DynamicOutputModel(self) -> "DynamicOutputModelBuilder":
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return DynamicOutputModelBuilder(self)
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@property
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def Edge(self) -> "EdgeViewer":
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@ -135,7 +140,7 @@ class TypeBuilder(type_builder.TypeBuilder):
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# #########################################################################
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# Generated classes 18
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# Generated classes 19
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# #########################################################################
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@ -274,6 +279,59 @@ class DefaultContentPredictionProperties:
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return type_builder.ClassPropertyViewer(self.__bldr.property("label"))
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class DynamicInputModelAst:
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def __init__(self, tb: type_builder.TypeBuilder):
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_tb = tb._tb # type: ignore (we know how to use this private attribute)
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self._bldr = _tb.class_("DynamicInputModel")
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self._properties: typing.Set[str] = set(
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[
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"test",
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]
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)
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self._props = DynamicInputModelProperties(self._bldr, self._properties)
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def type(self) -> baml_py.FieldType:
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return self._bldr.field()
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@property
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def props(self) -> "DynamicInputModelProperties":
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return self._props
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class DynamicInputModelBuilder(DynamicInputModelAst):
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def __init__(self, tb: type_builder.TypeBuilder):
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super().__init__(tb)
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def add_property(self, name: str, type: baml_py.FieldType) -> baml_py.ClassPropertyBuilder:
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if name in self._properties:
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raise ValueError(f"Property {name} already exists.")
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return self._bldr.property(name).type(type)
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def list_properties(self) -> typing.List[typing.Tuple[str, baml_py.ClassPropertyBuilder]]:
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return self._bldr.list_properties()
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def remove_property(self, name: str) -> None:
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self._bldr.remove_property(name)
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def reset(self) -> None:
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self._bldr.reset()
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class DynamicInputModelProperties:
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def __init__(self, bldr: baml_py.ClassBuilder, properties: typing.Set[str]):
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self.__bldr = bldr
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self.__properties = properties # type: ignore (we know how to use this private attribute) # noqa: F821
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def __getattr__(self, name: str) -> baml_py.ClassPropertyBuilder:
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if name not in self.__properties:
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raise AttributeError(f"Property {name} not found.")
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return self.__bldr.property(name)
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@property
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def test(self) -> baml_py.ClassPropertyBuilder:
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return self.__bldr.property("test")
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class DynamicKnowledgeGraphAst:
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def __init__(self, tb: type_builder.TypeBuilder):
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_tb = tb._tb # type: ignore (we know how to use this private attribute)
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@ -319,26 +377,26 @@ class DynamicKnowledgeGraphProperties:
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return self.__bldr.property(name)
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class DynamicModelAst:
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class DynamicOutputModelAst:
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def __init__(self, tb: type_builder.TypeBuilder):
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_tb = tb._tb # type: ignore (we know how to use this private attribute)
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self._bldr = _tb.class_("DynamicModel")
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self._bldr = _tb.class_("DynamicOutputModel")
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self._properties: typing.Set[str] = set(
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[
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"test",
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]
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)
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self._props = DynamicModelProperties(self._bldr, self._properties)
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self._props = DynamicOutputModelProperties(self._bldr, self._properties)
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def type(self) -> baml_py.FieldType:
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return self._bldr.field()
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@property
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def props(self) -> "DynamicModelProperties":
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def props(self) -> "DynamicOutputModelProperties":
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return self._props
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class DynamicModelBuilder(DynamicModelAst):
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class DynamicOutputModelBuilder(DynamicOutputModelAst):
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def __init__(self, tb: type_builder.TypeBuilder):
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super().__init__(tb)
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@ -357,7 +415,7 @@ class DynamicModelBuilder(DynamicModelAst):
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self._bldr.reset()
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class DynamicModelProperties:
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class DynamicOutputModelProperties:
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def __init__(self, bldr: baml_py.ClassBuilder, properties: typing.Set[str]):
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self.__bldr = bldr
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self.__properties = properties # type: ignore (we know how to use this private attribute) # noqa: F821
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@ -21,10 +21,12 @@ type_map = {
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"stream_types.ContentLabel": stream_types.ContentLabel,
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"types.DefaultContentPrediction": types.DefaultContentPrediction,
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"stream_types.DefaultContentPrediction": stream_types.DefaultContentPrediction,
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"types.DynamicInputModel": types.DynamicInputModel,
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"stream_types.DynamicInputModel": stream_types.DynamicInputModel,
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"types.DynamicKnowledgeGraph": types.DynamicKnowledgeGraph,
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"stream_types.DynamicKnowledgeGraph": stream_types.DynamicKnowledgeGraph,
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"types.DynamicModel": types.DynamicModel,
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"stream_types.DynamicModel": stream_types.DynamicModel,
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"types.DynamicOutputModel": types.DynamicOutputModel,
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"stream_types.DynamicOutputModel": stream_types.DynamicOutputModel,
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"types.Edge": types.Edge,
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"stream_types.Edge": stream_types.Edge,
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"types.ImageContent": types.ImageContent,
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@ -48,7 +48,7 @@ def all_succeeded(checks: typing.Dict[CheckName, Check]) -> bool:
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# #########################################################################
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# #########################################################################
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# Generated classes (18)
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# Generated classes (19)
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# #########################################################################
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@ -75,11 +75,16 @@ class DefaultContentPrediction(BaseModel):
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label: "ContentLabel"
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class DynamicInputModel(BaseModel):
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model_config = ConfigDict(extra="allow")
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test: str
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class DynamicKnowledgeGraph(BaseModel):
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model_config = ConfigDict(extra="allow")
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class DynamicModel(BaseModel):
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class DynamicOutputModel(BaseModel):
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model_config = ConfigDict(extra="allow")
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test: str
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@ -1,4 +1,9 @@
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class DynamicModel {
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class DynamicInputModel {
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test string
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@@dynamic
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}
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class DynamicOutputModel {
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test string
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@@dynamic
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}
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@ -7,7 +12,7 @@ function AcreateStructuredOutput(
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content: string,
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system_prompt: string,
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user_prompt: string,
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) -> DynamicModel {
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) -> DynamicOutputModel {
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client OpenAI
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prompt #"
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20
poetry.lock
generated
20
poetry.lock
generated
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@ -587,20 +587,20 @@ extras = ["regex"]
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[[package]]
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name = "baml-py"
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version = "0.201.0"
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version = "0.206.0"
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description = "BAML python bindings (pyproject.toml)"
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optional = false
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python-versions = "*"
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groups = ["main"]
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files = [
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{file = "baml_py-0.201.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:83228d2af2b0e845bbbb4e14f7cbd3376cec385aee01210ac522ab6076e07bec"},
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{file = "baml_py-0.201.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:2a9d016139e3ae5b5ce98c7b05b5fbd53d5d38f04dc810ec4d70fb17dd6c10e4"},
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{file = "baml_py-0.201.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b5058505b1a3c5f04fc1679aec4d730fa9bef2cbd96209b3ed50152f60b96baf"},
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{file = "baml_py-0.201.0-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:36289d548581ba4accd5eaaab3246872542dd32dc6717e537654fa0cad884071"},
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{file = "baml_py-0.201.0-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:5ab70e7bd6481d71edca8a33313347b29faccec78b9960138aa437522813ac9a"},
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{file = "baml_py-0.201.0-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:7efc5c693a7142c230a4f3d6700415127fee0b9f5fdbb36db63e04e27ac4c0f1"},
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{file = "baml_py-0.201.0-cp38-abi3-win_amd64.whl", hash = "sha256:56499857b7a27ae61a661c8ce0dddd0fb567a45c0b826157e44048a14cf586f9"},
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{file = "baml_py-0.201.0-cp38-abi3-win_arm64.whl", hash = "sha256:1e52dc1151db84a302b746590fe2bc484bdd794f83fa5da7216d9394c559f33a"},
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{file = "baml_py-0.206.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:d9e95f0b481a18ae6936d720b8fc609baec4ea1eabbdde48f1536ffc94ebf39f"},
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{file = "baml_py-0.206.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:0f698127da030b728c7aa2641c3164a3ab19779594019234361dd48f0784f195"},
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{file = "baml_py-0.206.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:095a4039851fd6a2f2b516446aa9c04d633a7f4ddc72aa70c6805af007a62ce0"},
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{file = "baml_py-0.206.0-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:4df110271c4861850fc58f30c49d7c3ca68cde28dd4d6f613a64c80d281e3c02"},
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{file = "baml_py-0.206.0-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:ecfae45310a47e669a5b00ba7f51bece300da1fe0df39ad687fd590a7bc8ff44"},
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{file = "baml_py-0.206.0-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:a104969f7fc04932f9ab6976f7fdd173097d6e8fc64b3faa5ad4b3ad5f870c65"},
|
||||
{file = "baml_py-0.206.0-cp38-abi3-win_amd64.whl", hash = "sha256:efbff3f4b49639f25a52433a7eacda039d3118e7965124ced0705017f9847916"},
|
||||
{file = "baml_py-0.206.0-cp38-abi3-win_arm64.whl", hash = "sha256:5560becf0c8af22b415d3eb6000629727ad1eb6cde4a6bdd9584c112c42f966d"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -11728,4 +11728,4 @@ posthog = ["posthog"]
|
|||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.10,<=3.13"
|
||||
content-hash = "576318d370b89d128a7c3e755fe3c898fef4e359acdd3f05f952ae497751fb04"
|
||||
content-hash = "03cd2dee06a9e89967b9287499956bcc18c6eb1849daddeb9504ff71d2453152"
|
||||
|
|
|
|||
|
|
@ -56,7 +56,7 @@ dependencies = [
|
|||
"dlt[sqlalchemy]>=1.9.0,<2",
|
||||
"sentry-sdk[fastapi]>=2.9.0,<3",
|
||||
"structlog>=25.2.0,<26",
|
||||
"baml-py (>=0.201.0,<0.202.0)",
|
||||
"baml-py (==0.206.0)",
|
||||
"pympler>=1.1,<2.0.0",
|
||||
"onnxruntime>=1.0.0,<2.0.0",
|
||||
"pylance>=0.22.0,<1.0.0",
|
||||
|
|
|
|||
20
uv.lock
generated
20
uv.lock
generated
|
|
@ -422,17 +422,17 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "baml-py"
|
||||
version = "0.201.0"
|
||||
version = "0.206.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/54/54/2b0edb3d22e95ce56f36610391c11108a4ef26ba2837736a32001687ae34/baml_py-0.201.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:83228d2af2b0e845bbbb4e14f7cbd3376cec385aee01210ac522ab6076e07bec", size = 17387971, upload-time = "2025-07-03T19:29:05.844Z" },
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{ url = "https://files.pythonhosted.org/packages/c9/08/1d48c28c63eadea2c04360cbb7f64968599e99cd6b8fc0ec0bd4424d3cf1/baml_py-0.201.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:2a9d016139e3ae5b5ce98c7b05b5fbd53d5d38f04dc810ec4d70fb17dd6c10e4", size = 16191010, upload-time = "2025-07-03T19:29:09.323Z" },
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{ url = "https://files.pythonhosted.org/packages/73/1a/20b2d46501e3dd0648af339825106a6ac5eeb5d22d7e6a10cf16b9aa1cb8/baml_py-0.201.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b5058505b1a3c5f04fc1679aec4d730fa9bef2cbd96209b3ed50152f60b96baf", size = 19950249, upload-time = "2025-07-03T19:29:11.974Z" },
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{ url = "https://files.pythonhosted.org/packages/38/24/bc871059e905159ae1913c2e3032dd6ef2f5c3d0983999d2c2f1eebb65a4/baml_py-0.201.0-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:36289d548581ba4accd5eaaab3246872542dd32dc6717e537654fa0cad884071", size = 19231310, upload-time = "2025-07-03T19:29:14.857Z" },
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{ url = "https://files.pythonhosted.org/packages/0e/11/4268a0b82b02c7202fe5aa0d7175712158d998c491cac723b2bac3d5d495/baml_py-0.201.0-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:5ab70e7bd6481d71edca8a33313347b29faccec78b9960138aa437522813ac9a", size = 19490012, upload-time = "2025-07-03T19:29:18.512Z" },
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{ url = "https://files.pythonhosted.org/packages/31/21/c9f9aea1adba2a5978ffab11ba0948a9f3f81ec6ed3056067713260e93a1/baml_py-0.201.0-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:7efc5c693a7142c230a4f3d6700415127fee0b9f5fdbb36db63e04e27ac4c0f1", size = 20090620, upload-time = "2025-07-03T19:29:21.072Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/99/cf/92123d8d753f1d1473e080c4c182139bfe3b9a6418e891cf1d96b6c33848/baml_py-0.201.0-cp38-abi3-win_amd64.whl", hash = "sha256:56499857b7a27ae61a661c8ce0dddd0fb567a45c0b826157e44048a14cf586f9", size = 17253005, upload-time = "2025-07-03T19:29:23.722Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/59/88/5056aa1bc9480f758cd6e210d63bd1f9ad90b44c87f4121285906526495e/baml_py-0.201.0-cp38-abi3-win_arm64.whl", hash = "sha256:1e52dc1151db84a302b746590fe2bc484bdd794f83fa5da7216d9394c559f33a", size = 15612701, upload-time = "2025-07-03T19:29:26.712Z" },
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{ url = "https://files.pythonhosted.org/packages/16/e6/b14c0892281fe40560420674be85b50a6849370819185919f4a951ff77f0/baml_py-0.206.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:d9e95f0b481a18ae6936d720b8fc609baec4ea1eabbdde48f1536ffc94ebf39f", size = 19198123, upload-time = "2025-08-28T04:40:13.4Z" },
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{ url = "https://files.pythonhosted.org/packages/ff/f5/fdaf5839693f60e48f7736f29b255f57b9b611edff83703873232855ac36/baml_py-0.206.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:095a4039851fd6a2f2b516446aa9c04d633a7f4ddc72aa70c6805af007a62ce0", size = 21779193, upload-time = "2025-08-28T04:40:18.141Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/6e/82/53747e5cb911f33a0f44d6e23669b050dc55a4581e28831f2bd5ff376831/baml_py-0.206.0-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:4df110271c4861850fc58f30c49d7c3ca68cde28dd4d6f613a64c80d281e3c02", size = 21019066, upload-time = "2025-08-28T04:40:20.568Z" },
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|
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{ url = "https://files.pythonhosted.org/packages/ae/97/f8f4f2cc298f44c01c2fc2a99f216805538c92bfc4ec81e13bd38b9e05df/baml_py-0.206.0-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:a104969f7fc04932f9ab6976f7fdd173097d6e8fc64b3faa5ad4b3ad5f870c65", size = 21938777, upload-time = "2025-08-28T04:40:25.174Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/eb/6a/e9edf5c9e244fac7f33c515da4507e0f9561037670d36b92bb671cda2437/baml_py-0.206.0-cp38-abi3-win_amd64.whl", hash = "sha256:efbff3f4b49639f25a52433a7eacda039d3118e7965124ced0705017f9847916", size = 19015250, upload-time = "2025-08-28T04:40:27.212Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9a/62/7bc8227374790761e6482d77aa9b702422ba3efaccd014f57488091b1fb6/baml_py-0.206.0-cp38-abi3-win_arm64.whl", hash = "sha256:5560becf0c8af22b415d3eb6000629727ad1eb6cde4a6bdd9584c112c42f966d", size = 17289275, upload-time = "2025-08-28T04:40:29.755Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -972,7 +972,7 @@ requires-dist = [
|
|||
{ name = "anthropic", marker = "extra == 'anthropic'", specifier = ">=0.26.1,<0.27" },
|
||||
{ name = "asyncpg", marker = "extra == 'postgres'", specifier = ">=0.30.0,<1.0.0" },
|
||||
{ name = "asyncpg", marker = "extra == 'postgres-binary'", specifier = ">=0.30.0,<1.0.0" },
|
||||
{ name = "baml-py", specifier = ">=0.201.0,<0.202.0" },
|
||||
{ name = "baml-py", specifier = "==0.206.0" },
|
||||
{ name = "chromadb", marker = "extra == 'chromadb'", specifier = ">=0.3.0,<0.7" },
|
||||
{ name = "coverage", marker = "extra == 'dev'", specifier = ">=7.3.2,<8" },
|
||||
{ name = "debugpy", marker = "extra == 'debug'", specifier = ">=1.8.9,<2.0.0" },
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue