From b2341271bfb04fe4e07d04b50b147517fd338f2d Mon Sep 17 00:00:00 2001 From: Elena Kolevska Date: Sat, 26 Jul 2025 12:07:22 +0100 Subject: [PATCH 1/9] Latest protos Signed-off-by: Elena Kolevska --- README.md | 2 + dapr/proto/runtime/v1/dapr_pb2.py | 78 +++- dapr/proto/runtime/v1/dapr_pb2.pyi | 613 +++++++++++++++++++++++++ dapr/proto/runtime/v1/dapr_pb2_grpc.py | 34 ++ 4 files changed, 715 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index 3491d39a2..73fae5b93 100644 --- a/README.md +++ b/README.md @@ -143,6 +143,8 @@ pip3 install -r tools/requirements.txt ./tools/regen_grpcclient.sh ``` +> Note: The `grpcio-tools` version we're using doesn't support Python 3.13. + ## Help & Feedback Need help or have feedback on the SDK? Please open a GitHub issue or come chat with us in the `#python-sdk` channel of our Discord server ([click here to join](https://discord.gg/MySdVxrH)). diff --git a/dapr/proto/runtime/v1/dapr_pb2.py b/dapr/proto/runtime/v1/dapr_pb2.py index 76c3b50bc..4e14996c7 100644 --- a/dapr/proto/runtime/v1/dapr_pb2.py +++ b/dapr/proto/runtime/v1/dapr_pb2.py @@ -19,7 +19,7 @@ from dapr.proto.runtime.v1 import appcallback_pb2 as dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2 -DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n dapr/proto/runtime/v1/dapr.proto\x12\x15\x64\x61pr.proto.runtime.v1\x1a\x19google/protobuf/any.proto\x1a\x1bgoogle/protobuf/empty.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a!dapr/proto/common/v1/common.proto\x1a\'dapr/proto/runtime/v1/appcallback.proto\"X\n\x14InvokeServiceRequest\x12\n\n\x02id\x18\x01 \x01(\t\x12\x34\n\x07message\x18\x03 \x01(\x0b\x32#.dapr.proto.common.v1.InvokeRequest\"\xf5\x01\n\x0fGetStateRequest\x12\x12\n\nstore_name\x18\x01 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_globals = globals() _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) @@ -93,8 +93,22 @@ _globals['_CONVERSATIONREQUEST_PARAMETERSENTRY']._serialized_options = b'8\001' _globals['_CONVERSATIONREQUEST_METADATAENTRY']._options = None _globals['_CONVERSATIONREQUEST_METADATAENTRY']._serialized_options = b'8\001' + _globals['_CONVERSATIONREQUEST']._options = None + _globals['_CONVERSATIONREQUEST']._serialized_options = b'\030\001' + _globals['_CONVERSATIONREQUESTALPHA2_PARAMETERSENTRY']._options = None + _globals['_CONVERSATIONREQUESTALPHA2_PARAMETERSENTRY']._serialized_options = b'8\001' + _globals['_CONVERSATIONREQUESTALPHA2_METADATAENTRY']._options = None + _globals['_CONVERSATIONREQUESTALPHA2_METADATAENTRY']._serialized_options = b'8\001' + _globals['_CONVERSATIONINPUT']._options = None + _globals['_CONVERSATIONINPUT']._serialized_options = b'\030\001' _globals['_CONVERSATIONRESULT_PARAMETERSENTRY']._options = None _globals['_CONVERSATIONRESULT_PARAMETERSENTRY']._serialized_options = b'8\001' + _globals['_CONVERSATIONRESULT']._options = None + _globals['_CONVERSATIONRESULT']._serialized_options = b'\030\001' + _globals['_CONVERSATIONRESPONSE']._options = None + _globals['_CONVERSATIONRESPONSE']._serialized_options = b'\030\001' + _globals['_CONVERSATIONTOOLSFUNCTION_PARAMETERSENTRY']._options = None + _globals['_CONVERSATIONTOOLSFUNCTION_PARAMETERSENTRY']._serialized_options = b'8\001' _globals['_DAPR'].methods_by_name['StartWorkflowAlpha1']._options = None _globals['_DAPR'].methods_by_name['StartWorkflowAlpha1']._serialized_options = b'\210\002\001' _globals['_DAPR'].methods_by_name['GetWorkflowAlpha1']._options = None @@ -109,8 +123,8 @@ _globals['_DAPR'].methods_by_name['ResumeWorkflowAlpha1']._serialized_options = b'\210\002\001' _globals['_DAPR'].methods_by_name['RaiseEventWorkflowAlpha1']._options = None _globals['_DAPR'].methods_by_name['RaiseEventWorkflowAlpha1']._serialized_options = b'\210\002\001' - _globals['_PUBSUBSUBSCRIPTIONTYPE']._serialized_start=16265 - _globals['_PUBSUBSUBSCRIPTIONTYPE']._serialized_end=16352 + _globals['_PUBSUBSUBSCRIPTIONTYPE']._serialized_start=19242 + _globals['_PUBSUBSUBSCRIPTIONTYPE']._serialized_end=19329 _globals['_INVOKESERVICEREQUEST']._serialized_start=224 _globals['_INVOKESERVICEREQUEST']._serialized_end=312 _globals['_GETSTATEREQUEST']._serialized_start=315 @@ -380,19 +394,59 @@ _globals['_DELETEJOBRESPONSE']._serialized_start=15339 _globals['_DELETEJOBRESPONSE']._serialized_end=15358 _globals['_CONVERSATIONREQUEST']._serialized_start=15361 - _globals['_CONVERSATIONREQUEST']._serialized_end=15848 + _globals['_CONVERSATIONREQUEST']._serialized_end=15852 _globals['_CONVERSATIONREQUEST_PARAMETERSENTRY']._serialized_start=15685 _globals['_CONVERSATIONREQUEST_PARAMETERSENTRY']._serialized_end=15756 _globals['_CONVERSATIONREQUEST_METADATAENTRY']._serialized_start=513 _globals['_CONVERSATIONREQUEST_METADATAENTRY']._serialized_end=560 - _globals['_CONVERSATIONINPUT']._serialized_start=15850 - _globals['_CONVERSATIONINPUT']._serialized_end=15950 - _globals['_CONVERSATIONRESULT']._serialized_start=15953 - _globals['_CONVERSATIONRESULT']._serialized_end=16141 + _globals['_CONVERSATIONREQUESTALPHA2']._serialized_start=15855 + _globals['_CONVERSATIONREQUESTALPHA2']._serialized_end=16469 + _globals['_CONVERSATIONREQUESTALPHA2_PARAMETERSENTRY']._serialized_start=15685 + _globals['_CONVERSATIONREQUESTALPHA2_PARAMETERSENTRY']._serialized_end=15756 + _globals['_CONVERSATIONREQUESTALPHA2_METADATAENTRY']._serialized_start=513 + _globals['_CONVERSATIONREQUESTALPHA2_METADATAENTRY']._serialized_end=560 + _globals['_CONVERSATIONINPUT']._serialized_start=16471 + _globals['_CONVERSATIONINPUT']._serialized_end=16575 + _globals['_CONVERSATIONINPUTALPHA2']._serialized_start=16577 + _globals['_CONVERSATIONINPUTALPHA2']._serialized_end=16702 + _globals['_CONVERSATIONMESSAGE']._serialized_start=16705 + _globals['_CONVERSATIONMESSAGE']._serialized_end=17112 + _globals['_CONVERSATIONMESSAGEOFDEVELOPER']._serialized_start=17115 + _globals['_CONVERSATIONMESSAGEOFDEVELOPER']._serialized_end=17243 + _globals['_CONVERSATIONMESSAGEOFSYSTEM']._serialized_start=17245 + _globals['_CONVERSATIONMESSAGEOFSYSTEM']._serialized_end=17370 + _globals['_CONVERSATIONMESSAGEOFUSER']._serialized_start=17372 + _globals['_CONVERSATIONMESSAGEOFUSER']._serialized_end=17495 + _globals['_CONVERSATIONMESSAGEOFASSISTANT']._serialized_start=17498 + _globals['_CONVERSATIONMESSAGEOFASSISTANT']._serialized_end=17692 + _globals['_CONVERSATIONMESSAGEOFTOOL']._serialized_start=17695 + _globals['_CONVERSATIONMESSAGEOFTOOL']._serialized_end=17838 + _globals['_CONVERSATIONTOOLCALLS']._serialized_start=17841 + _globals['_CONVERSATIONTOOLCALLS']._serialized_end=17978 + _globals['_CONVERSATIONTOOLCALLSOFFUNCTION']._serialized_start=17980 + _globals['_CONVERSATIONTOOLCALLSOFFUNCTION']._serialized_end=18046 + _globals['_CONVERSATIONMESSAGECONTENT']._serialized_start=18048 + _globals['_CONVERSATIONMESSAGECONTENT']._serialized_end=18090 + _globals['_CONVERSATIONRESULT']._serialized_start=18093 + _globals['_CONVERSATIONRESULT']._serialized_end=18285 _globals['_CONVERSATIONRESULT_PARAMETERSENTRY']._serialized_start=15685 _globals['_CONVERSATIONRESULT_PARAMETERSENTRY']._serialized_end=15756 - _globals['_CONVERSATIONRESPONSE']._serialized_start=16143 - _globals['_CONVERSATIONRESPONSE']._serialized_end=16263 - _globals['_DAPR']._serialized_start=16355 - _globals['_DAPR']._serialized_end=22689 + _globals['_CONVERSATIONRESULTALPHA2']._serialized_start=18287 + _globals['_CONVERSATIONRESULTALPHA2']._serialized_end=18380 + _globals['_CONVERSATIONRESULTCHOICES']._serialized_start=18383 + _globals['_CONVERSATIONRESULTCHOICES']._serialized_end=18515 + _globals['_CONVERSATIONRESULTMESSAGE']._serialized_start=18517 + _globals['_CONVERSATIONRESULTMESSAGE']._serialized_end=18627 + _globals['_CONVERSATIONRESPONSE']._serialized_start=18629 + _globals['_CONVERSATIONRESPONSE']._serialized_end=18753 + _globals['_CONVERSATIONRESPONSEALPHA2']._serialized_start=18756 + _globals['_CONVERSATIONRESPONSEALPHA2']._serialized_end=18890 + _globals['_CONVERSATIONTOOLS']._serialized_start=18892 + _globals['_CONVERSATIONTOOLS']._serialized_end=18995 + _globals['_CONVERSATIONTOOLSFUNCTION']._serialized_start=18998 + _globals['_CONVERSATIONTOOLSFUNCTION']._serialized_end=19240 + _globals['_CONVERSATIONTOOLSFUNCTION_PARAMETERSENTRY']._serialized_start=15685 + _globals['_CONVERSATIONTOOLSFUNCTION_PARAMETERSENTRY']._serialized_end=15756 + _globals['_DAPR']._serialized_start=19332 + _globals['_DAPR']._serialized_end=25787 # @@protoc_insertion_point(module_scope) diff --git a/dapr/proto/runtime/v1/dapr_pb2.pyi b/dapr/proto/runtime/v1/dapr_pb2.pyi index 9099aac9c..ed0c27454 100644 --- a/dapr/proto/runtime/v1/dapr_pb2.pyi +++ b/dapr/proto/runtime/v1/dapr_pb2.pyi @@ -3441,8 +3441,129 @@ class ConversationRequest(google.protobuf.message.Message): global___ConversationRequest = ConversationRequest +@typing.final +class ConversationRequestAlpha2(google.protobuf.message.Message): + """ConversationRequestAlpha2 is the new request object for Conversation. + Many of these fields are inspired by openai.ChatCompletionNewParams + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L2106 + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class ParametersEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + @property + def value(self) -> google.protobuf.any_pb2.Any: ... + def __init__( + self, + *, + key: builtins.str = ..., + value: google.protobuf.any_pb2.Any | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + @typing.final + class MetadataEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + value: builtins.str + def __init__( + self, + *, + key: builtins.str = ..., + value: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + NAME_FIELD_NUMBER: builtins.int + CONTEXT_ID_FIELD_NUMBER: builtins.int + INPUTS_FIELD_NUMBER: builtins.int + PARAMETERS_FIELD_NUMBER: builtins.int + METADATA_FIELD_NUMBER: builtins.int + SCRUB_PII_FIELD_NUMBER: builtins.int + TEMPERATURE_FIELD_NUMBER: builtins.int + TOOLS_FIELD_NUMBER: builtins.int + TOOL_CHOICE_FIELD_NUMBER: builtins.int + name: builtins.str + """The name of Conversation component""" + context_id: builtins.str + """The ID of an existing chat (like in ChatGPT)""" + scrub_pii: builtins.bool + """Scrub PII data that comes back from the LLM""" + temperature: builtins.float + """Temperature for the LLM to optimize for creativity or predictability""" + tool_choice: builtins.str + """Controls which (if any) tool is called by the model. + `none` means the model will not call any tool and instead generates a message. + `auto` means the model can pick between generating a message or calling one or more tools. + Alternatively, a specific tool name may be used here, and casing/syntax must match on tool name. + `none` is the default when no tools are present. + `auto` is the default if tools are present. + `required` requires one or more functions to be called. + ref: https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1976 + ref: https://python.langchain.com/docs/how_to/tool_choice/ + """ + @property + def inputs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationInputAlpha2]: + """Inputs for the conversation, support multiple input in one time. + This is the revamped conversation inputs better matching openai. + """ + + @property + def parameters(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, google.protobuf.any_pb2.Any]: + """Parameters for all custom fields.""" + + @property + def metadata(self) -> google.protobuf.internal.containers.ScalarMap[builtins.str, builtins.str]: + """The metadata passing to conversation components.""" + + @property + def tools(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationTools]: + """Tools register the tools available to be used by the LLM during the conversation. + These are sent on a per request basis. + The tools available during the first round of the conversation + may be different than tools specified later on. + """ + + def __init__( + self, + *, + name: builtins.str = ..., + context_id: builtins.str | None = ..., + inputs: collections.abc.Iterable[global___ConversationInputAlpha2] | None = ..., + parameters: collections.abc.Mapping[builtins.str, google.protobuf.any_pb2.Any] | None = ..., + metadata: collections.abc.Mapping[builtins.str, builtins.str] | None = ..., + scrub_pii: builtins.bool | None = ..., + temperature: builtins.float | None = ..., + tools: collections.abc.Iterable[global___ConversationTools] | None = ..., + tool_choice: builtins.str | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_context_id", b"_context_id", "_scrub_pii", b"_scrub_pii", "_temperature", b"_temperature", "_tool_choice", b"_tool_choice", "context_id", b"context_id", "scrub_pii", b"scrub_pii", "temperature", b"temperature", "tool_choice", b"tool_choice"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_context_id", b"_context_id", "_scrub_pii", b"_scrub_pii", "_temperature", b"_temperature", "_tool_choice", b"_tool_choice", "context_id", b"context_id", "inputs", b"inputs", "metadata", b"metadata", "name", b"name", "parameters", b"parameters", "scrub_pii", b"scrub_pii", "temperature", b"temperature", "tool_choice", b"tool_choice", "tools", b"tools"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_context_id", b"_context_id"]) -> typing.Literal["context_id"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_scrub_pii", b"_scrub_pii"]) -> typing.Literal["scrub_pii"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_temperature", b"_temperature"]) -> typing.Literal["temperature"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_tool_choice", b"_tool_choice"]) -> typing.Literal["tool_choice"] | None: ... + +global___ConversationRequestAlpha2 = ConversationRequestAlpha2 + @typing.final class ConversationInput(google.protobuf.message.Message): + """maintained for backwards compatibility""" + DESCRIPTOR: google.protobuf.descriptor.Descriptor CONTENT_FIELD_NUMBER: builtins.int @@ -3470,6 +3591,309 @@ class ConversationInput(google.protobuf.message.Message): global___ConversationInput = ConversationInput +@typing.final +class ConversationInputAlpha2(google.protobuf.message.Message): + """directly inspired by openai.ChatCompletionNewParams + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L2106 + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + MESSAGES_FIELD_NUMBER: builtins.int + SCRUB_PII_FIELD_NUMBER: builtins.int + scrub_pii: builtins.bool + """Scrub PII data that goes into the LLM""" + @property + def messages(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationMessage]: + """The content to send to the llm""" + + def __init__( + self, + *, + messages: collections.abc.Iterable[global___ConversationMessage] | None = ..., + scrub_pii: builtins.bool | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_scrub_pii", b"_scrub_pii", "scrub_pii", b"scrub_pii"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_scrub_pii", b"_scrub_pii", "messages", b"messages", "scrub_pii", b"scrub_pii"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_scrub_pii", b"_scrub_pii"]) -> typing.Literal["scrub_pii"] | None: ... + +global___ConversationInputAlpha2 = ConversationInputAlpha2 + +@typing.final +class ConversationMessage(google.protobuf.message.Message): + """inspired by openai.ChatCompletionMessageParamUnion + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1449 + The role field is inherent to the type of ConversationMessage, + and is propagated in the backend according to the underlying LLM provider type. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + OF_DEVELOPER_FIELD_NUMBER: builtins.int + OF_SYSTEM_FIELD_NUMBER: builtins.int + OF_USER_FIELD_NUMBER: builtins.int + OF_ASSISTANT_FIELD_NUMBER: builtins.int + OF_TOOL_FIELD_NUMBER: builtins.int + @property + def of_developer(self) -> global___ConversationMessageOfDeveloper: ... + @property + def of_system(self) -> global___ConversationMessageOfSystem: ... + @property + def of_user(self) -> global___ConversationMessageOfUser: ... + @property + def of_assistant(self) -> global___ConversationMessageOfAssistant: ... + @property + def of_tool(self) -> global___ConversationMessageOfTool: + """Note: there could be a ConversationMessageOfFunction type here too, + but that is deprecated in openai, so we will not support this. + """ + + def __init__( + self, + *, + of_developer: global___ConversationMessageOfDeveloper | None = ..., + of_system: global___ConversationMessageOfSystem | None = ..., + of_user: global___ConversationMessageOfUser | None = ..., + of_assistant: global___ConversationMessageOfAssistant | None = ..., + of_tool: global___ConversationMessageOfTool | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["message_types", b"message_types", "of_assistant", b"of_assistant", "of_developer", b"of_developer", "of_system", b"of_system", "of_tool", b"of_tool", "of_user", b"of_user"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["message_types", b"message_types", "of_assistant", b"of_assistant", "of_developer", b"of_developer", "of_system", b"of_system", "of_tool", b"of_tool", "of_user", b"of_user"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["message_types", b"message_types"]) -> typing.Literal["of_developer", "of_system", "of_user", "of_assistant", "of_tool"] | None: ... + +global___ConversationMessage = ConversationMessage + +@typing.final +class ConversationMessageOfDeveloper(google.protobuf.message.Message): + """inspired by openai.ChatCompletionDeveloperMessageParam + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1130 + ConversationMessageOfDeveloper is intended to be the contents of a conversation message, + as the role of a developer. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + CONTENT_FIELD_NUMBER: builtins.int + name: builtins.str + """The name of the participant in the message.""" + @property + def content(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationMessageContent]: ... + def __init__( + self, + *, + name: builtins.str | None = ..., + content: collections.abc.Iterable[global___ConversationMessageContent] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_name", b"_name", "name", b"name"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_name", b"_name", "content", b"content", "name", b"name"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_name", b"_name"]) -> typing.Literal["name"] | None: ... + +global___ConversationMessageOfDeveloper = ConversationMessageOfDeveloper + +@typing.final +class ConversationMessageOfSystem(google.protobuf.message.Message): + """inspired by openai.ChatCompletionSystemMessageParam + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1842 + ConversationMessageOfSystem is intended to be the contents of a conversation message, + as the role of a system. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + CONTENT_FIELD_NUMBER: builtins.int + name: builtins.str + @property + def content(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationMessageContent]: ... + def __init__( + self, + *, + name: builtins.str | None = ..., + content: collections.abc.Iterable[global___ConversationMessageContent] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_name", b"_name", "name", b"name"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_name", b"_name", "content", b"content", "name", b"name"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_name", b"_name"]) -> typing.Literal["name"] | None: ... + +global___ConversationMessageOfSystem = ConversationMessageOfSystem + +@typing.final +class ConversationMessageOfUser(google.protobuf.message.Message): + """inspired by openai.ChatCompletionUserMessageParam + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L2060C6-L2060C36 + ConversationMessageOfUser is intended to be the contents of a conversation message, + as the role of an end user. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + CONTENT_FIELD_NUMBER: builtins.int + name: builtins.str + @property + def content(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationMessageContent]: ... + def __init__( + self, + *, + name: builtins.str | None = ..., + content: collections.abc.Iterable[global___ConversationMessageContent] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_name", b"_name", "name", b"name"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_name", b"_name", "content", b"content", "name", b"name"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_name", b"_name"]) -> typing.Literal["name"] | None: ... + +global___ConversationMessageOfUser = ConversationMessageOfUser + +@typing.final +class ConversationMessageOfAssistant(google.protobuf.message.Message): + """inspired by openai.ChatCompletionAssistantMessageParam + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L310 + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L2060C6-L2060C36 + ConversationMessageOfAssistant is intended to be the contents of a conversation message, + as the role of an assistant. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + CONTENT_FIELD_NUMBER: builtins.int + TOOL_CALLS_FIELD_NUMBER: builtins.int + name: builtins.str + @property + def content(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationMessageContent]: + """TODO: there is an audio field here to bring in when the time comes 1.17 or later.""" + + @property + def tool_calls(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationToolCalls]: + """Tool calls generated by the model, such as function calls for the client to then make.""" + + def __init__( + self, + *, + name: builtins.str | None = ..., + content: collections.abc.Iterable[global___ConversationMessageContent] | None = ..., + tool_calls: collections.abc.Iterable[global___ConversationToolCalls] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_name", b"_name", "name", b"name"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_name", b"_name", "content", b"content", "name", b"name", "tool_calls", b"tool_calls"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_name", b"_name"]) -> typing.Literal["name"] | None: ... + +global___ConversationMessageOfAssistant = ConversationMessageOfAssistant + +@typing.final +class ConversationMessageOfTool(google.protobuf.message.Message): + """inspired by openai.ChatCompletionToolMessageParam + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L2011 + ConversationMessageOfTool is intended to be the contents of a conversation message, + as the role of a tool. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TOOL_ID_FIELD_NUMBER: builtins.int + NAME_FIELD_NUMBER: builtins.int + CONTENT_FIELD_NUMBER: builtins.int + tool_id: builtins.str + """Tool ID is helpful for tracking tool history""" + name: builtins.str + """Name of tool associated with the message""" + @property + def content(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationMessageContent]: ... + def __init__( + self, + *, + tool_id: builtins.str | None = ..., + name: builtins.str = ..., + content: collections.abc.Iterable[global___ConversationMessageContent] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_tool_id", b"_tool_id", "tool_id", b"tool_id"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_tool_id", b"_tool_id", "content", b"content", "name", b"name", "tool_id", b"tool_id"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_tool_id", b"_tool_id"]) -> typing.Literal["tool_id"] | None: ... + +global___ConversationMessageOfTool = ConversationMessageOfTool + +@typing.final +class ConversationToolCalls(google.protobuf.message.Message): + """inspired by openai.ChatCompletionMessageToolCallParam and openai.ChatCompletionMessageToolCall + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1669 + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1611 + ConversationToolCalls is the tool call request sent from the llm to the client to then call to execute. + This assumes that in our api if a client makes a request that would get a tool call response from the llm, + that this client can also have the tool handy itself to execute it. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + ID_FIELD_NUMBER: builtins.int + FUNCTION_FIELD_NUMBER: builtins.int + id: builtins.str + @property + def function(self) -> global___ConversationToolCallsOfFunction: ... + def __init__( + self, + *, + id: builtins.str | None = ..., + function: global___ConversationToolCallsOfFunction | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_id", b"_id", "function", b"function", "id", b"id", "tool_types", b"tool_types"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_id", b"_id", "function", b"function", "id", b"id", "tool_types", b"tool_types"]) -> None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["_id", b"_id"]) -> typing.Literal["id"] | None: ... + @typing.overload + def WhichOneof(self, oneof_group: typing.Literal["tool_types", b"tool_types"]) -> typing.Literal["function"] | None: ... + +global___ConversationToolCalls = ConversationToolCalls + +@typing.final +class ConversationToolCallsOfFunction(google.protobuf.message.Message): + """inspired by openai.ChatCompletionMessageToolCallFunctionParam + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1692 + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + NAME_FIELD_NUMBER: builtins.int + ARGUMENTS_FIELD_NUMBER: builtins.int + name: builtins.str + arguments: builtins.str + """The arguments to call the function with, as generated by the model in JSON + format. Note that the model does not always generate valid JSON, and may + hallucinate parameters not defined by your function schema. Validate the + arguments in your code before calling your function. + """ + def __init__( + self, + *, + name: builtins.str = ..., + arguments: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["arguments", b"arguments", "name", b"name"]) -> None: ... + +global___ConversationToolCallsOfFunction = ConversationToolCallsOfFunction + +@typing.final +class ConversationMessageContent(google.protobuf.message.Message): + """inspired by openai.ChatCompletionContentPartTextParam & openai.ChatCompletionDeveloperMessageParamContentUnion + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1084 + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1154C6-L1154C53 + Note: openai has this message be either a message of string or message of array type, + so instead of this, we support that in one message type instead. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + TEXT_FIELD_NUMBER: builtins.int + text: builtins.str + def __init__( + self, + *, + text: builtins.str = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["text", b"text"]) -> None: ... + +global___ConversationMessageContent = ConversationMessageContent + @typing.final class ConversationResult(google.protobuf.message.Message): """ConversationResult is the result for one input.""" @@ -3512,6 +3936,89 @@ class ConversationResult(google.protobuf.message.Message): global___ConversationResult = ConversationResult +@typing.final +class ConversationResultAlpha2(google.protobuf.message.Message): + """inspired by openai.ChatCompletion + ConversationResultAlpha2 is the result for one input. + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CHOICES_FIELD_NUMBER: builtins.int + @property + def choices(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationResultChoices]: + """Result for the conversation input.""" + + def __init__( + self, + *, + choices: collections.abc.Iterable[global___ConversationResultChoices] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["choices", b"choices"]) -> None: ... + +global___ConversationResultAlpha2 = ConversationResultAlpha2 + +@typing.final +class ConversationResultChoices(google.protobuf.message.Message): + """inspired by openai.ChatCompletionChoice + based on https://github.com/openai/openai-go/blob/main/chatcompletion.go#L226 + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + FINISH_REASON_FIELD_NUMBER: builtins.int + INDEX_FIELD_NUMBER: builtins.int + MESSAGE_FIELD_NUMBER: builtins.int + finish_reason: builtins.str + """The reason the model stopped generating tokens. This will be `stop` if the model + hit a natural stop point or a provided stop sequence, `length` if the maximum + number of tokens specified in the request was reached, `content_filter` if + content was omitted due to a flag from our content filters, `tool_calls` if the + model called a tool. + Any of "stop", "length", "tool_calls", "content_filter". + """ + index: builtins.int + """The index of the choice in the list of choices.""" + @property + def message(self) -> global___ConversationResultMessage: ... + def __init__( + self, + *, + finish_reason: builtins.str = ..., + index: builtins.int = ..., + message: global___ConversationResultMessage | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["message", b"message"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["finish_reason", b"finish_reason", "index", b"index", "message", b"message"]) -> None: ... + +global___ConversationResultChoices = ConversationResultChoices + +@typing.final +class ConversationResultMessage(google.protobuf.message.Message): + """inspired by openai.ChatCompletionMessage + based on https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1218C6-L1218C27 + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CONTENT_FIELD_NUMBER: builtins.int + TOOL_CALLS_FIELD_NUMBER: builtins.int + content: builtins.str + """The contents of the message.""" + @property + def tool_calls(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationToolCalls]: + """The tool calls generated by the model.""" + + def __init__( + self, + *, + content: builtins.str = ..., + tool_calls: collections.abc.Iterable[global___ConversationToolCalls] | None = ..., + ) -> None: ... + def ClearField(self, field_name: typing.Literal["content", b"content", "tool_calls", b"tool_calls"]) -> None: ... + +global___ConversationResultMessage = ConversationResultMessage + @typing.final class ConversationResponse(google.protobuf.message.Message): """ConversationResponse is the response for Conversation.""" @@ -3537,3 +4044,109 @@ class ConversationResponse(google.protobuf.message.Message): def WhichOneof(self, oneof_group: typing.Literal["_contextID", b"_contextID"]) -> typing.Literal["contextID"] | None: ... global___ConversationResponse = ConversationResponse + +@typing.final +class ConversationResponseAlpha2(google.protobuf.message.Message): + """ConversationResponseAlpha2 is the Alpha2 response for Conversation.""" + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + CONTEXT_ID_FIELD_NUMBER: builtins.int + OUTPUTS_FIELD_NUMBER: builtins.int + context_id: builtins.str + """The ID of an existing chat (like in ChatGPT)""" + @property + def outputs(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___ConversationResultAlpha2]: + """An array of results.""" + + def __init__( + self, + *, + context_id: builtins.str | None = ..., + outputs: collections.abc.Iterable[global___ConversationResultAlpha2] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_context_id", b"_context_id", "context_id", b"context_id"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_context_id", b"_context_id", "context_id", b"context_id", "outputs", b"outputs"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_context_id", b"_context_id"]) -> typing.Literal["context_id"] | None: ... + +global___ConversationResponseAlpha2 = ConversationResponseAlpha2 + +@typing.final +class ConversationTools(google.protobuf.message.Message): + """ConversationTools are the typed tools available to be called. + inspired by openai.ChatCompletionToolParam + https://github.com/openai/openai-go/blob/main/chatcompletion.go#L1950 + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + FUNCTION_FIELD_NUMBER: builtins.int + @property + def function(self) -> global___ConversationToolsFunction: ... + def __init__( + self, + *, + function: global___ConversationToolsFunction | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["function", b"function", "tool_types", b"tool_types"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["function", b"function", "tool_types", b"tool_types"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["tool_types", b"tool_types"]) -> typing.Literal["function"] | None: ... + +global___ConversationTools = ConversationTools + +@typing.final +class ConversationToolsFunction(google.protobuf.message.Message): + """ConversationToolsFunction is the main tool type to be used in a conversation. + inspired by openai.FunctionDefinitionParam + https://pkg.go.dev/github.com/openai/openai-go/shared#FunctionDefinitionParam + """ + + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + @typing.final + class ParametersEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + @property + def value(self) -> google.protobuf.any_pb2.Any: ... + def __init__( + self, + *, + key: builtins.str = ..., + value: google.protobuf.any_pb2.Any | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + + NAME_FIELD_NUMBER: builtins.int + DESCRIPTION_FIELD_NUMBER: builtins.int + PARAMETERS_FIELD_NUMBER: builtins.int + name: builtins.str + """The name of the function to be called.""" + description: builtins.str + """A description of what the function does, + used by the model to choose when and how to call the function. + """ + @property + def parameters(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, google.protobuf.any_pb2.Any]: + """The parameters the functions accepts, described as a JSON Schema object. + See the [guide](https://platform.openai.com/docs/guides/function-calling) for examples, + and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. + Omitting `parameters` defines a function with an empty parameter list. + """ + + def __init__( + self, + *, + name: builtins.str = ..., + description: builtins.str | None = ..., + parameters: collections.abc.Mapping[builtins.str, google.protobuf.any_pb2.Any] | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["_description", b"_description", "description", b"description"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["_description", b"_description", "description", b"description", "name", b"name", "parameters", b"parameters"]) -> None: ... + def WhichOneof(self, oneof_group: typing.Literal["_description", b"_description"]) -> typing.Literal["description"] | None: ... + +global___ConversationToolsFunction = ConversationToolsFunction diff --git a/dapr/proto/runtime/v1/dapr_pb2_grpc.py b/dapr/proto/runtime/v1/dapr_pb2_grpc.py index d371896b5..c739588a2 100644 --- a/dapr/proto/runtime/v1/dapr_pb2_grpc.py +++ b/dapr/proto/runtime/v1/dapr_pb2_grpc.py @@ -312,6 +312,11 @@ def __init__(self, channel): request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.SerializeToString, response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponse.FromString, ) + self.ConverseAlpha2 = channel.unary_unary( + '/dapr.proto.runtime.v1.Dapr/ConverseAlpha2', + request_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequestAlpha2.SerializeToString, + response_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponseAlpha2.FromString, + ) class DaprServicer(object): @@ -733,6 +738,13 @@ def ConverseAlpha1(self, request, context): context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') + def ConverseAlpha2(self, request, context): + """Converse with a LLM service via alpha2 api + """ + context.set_code(grpc.StatusCode.UNIMPLEMENTED) + context.set_details('Method not implemented!') + raise NotImplementedError('Method not implemented!') + def add_DaprServicer_to_server(servicer, server): rpc_method_handlers = { @@ -1031,6 +1043,11 @@ def add_DaprServicer_to_server(servicer, server): request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequest.FromString, response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponse.SerializeToString, ), + 'ConverseAlpha2': grpc.unary_unary_rpc_method_handler( + servicer.ConverseAlpha2, + request_deserializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequestAlpha2.FromString, + response_serializer=dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponseAlpha2.SerializeToString, + ), } generic_handler = grpc.method_handlers_generic_handler( 'dapr.proto.runtime.v1.Dapr', rpc_method_handlers) @@ -2044,3 +2061,20 @@ def ConverseAlpha1(request, dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) + + @staticmethod + def ConverseAlpha2(request, + target, + options=(), + channel_credentials=None, + call_credentials=None, + insecure=False, + compression=None, + wait_for_ready=None, + timeout=None, + metadata=None): + return grpc.experimental.unary_unary(request, target, '/dapr.proto.runtime.v1.Dapr/ConverseAlpha2', + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationRequestAlpha2.SerializeToString, + dapr_dot_proto_dot_runtime_dot_v1_dot_dapr__pb2.ConversationResponseAlpha2.FromString, + options, channel_credentials, + insecure, call_credentials, compression, wait_for_ready, timeout, metadata) From 8eb2d95ca53e20973ef2e87dea577ad76f33b78b Mon Sep 17 00:00:00 2001 From: Elena Kolevska Date: Thu, 31 Jul 2025 16:33:36 +0100 Subject: [PATCH 2/9] Adds sleep to test Signed-off-by: Elena Kolevska --- examples/demo_workflow/app.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/examples/demo_workflow/app.py b/examples/demo_workflow/app.py index b0d078c75..8e700cc1f 100644 --- a/examples/demo_workflow/app.py +++ b/examples/demo_workflow/app.py @@ -186,7 +186,7 @@ def main(): sleep(5) # Terminate Test d.terminate_workflow(instance_id=instance_id, workflow_component=workflow_component) - sleep(1) + sleep(2) get_response = d.get_workflow( instance_id=instance_id, workflow_component=workflow_component ) @@ -204,6 +204,7 @@ def main(): # Purge Test d.purge_workflow(instance_id=instance_id, workflow_component=workflow_component) + sleep(2) try: d.get_workflow(instance_id=instance_id, workflow_component=workflow_component) except DaprInternalError as err: From 5003c1f4ff59d6bdd646dbadeadbe17561be508b Mon Sep 17 00:00:00 2001 From: Elena Kolevska Date: Sun, 3 Aug 2025 19:32:40 +0200 Subject: [PATCH 3/9] Increases sleep Signed-off-by: Elena Kolevska --- examples/demo_workflow/app.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/demo_workflow/app.py b/examples/demo_workflow/app.py index 8e700cc1f..7b198c168 100644 --- a/examples/demo_workflow/app.py +++ b/examples/demo_workflow/app.py @@ -186,7 +186,7 @@ def main(): sleep(5) # Terminate Test d.terminate_workflow(instance_id=instance_id, workflow_component=workflow_component) - sleep(2) + sleep(5) get_response = d.get_workflow( instance_id=instance_id, workflow_component=workflow_component ) @@ -204,7 +204,7 @@ def main(): # Purge Test d.purge_workflow(instance_id=instance_id, workflow_component=workflow_component) - sleep(2) + sleep(5) try: d.get_workflow(instance_id=instance_id, workflow_component=workflow_component) except DaprInternalError as err: From 1a57bd892f03481108ce61ed61ea6b4144728aee Mon Sep 17 00:00:00 2001 From: Albert Callarisa Date: Tue, 5 Aug 2025 16:12:21 +0200 Subject: [PATCH 4/9] Fix legacy demo_workflow example Signed-off-by: Albert Callarisa --- dapr/clients/grpc/client.py | 3 +++ examples/demo_workflow/README.md | 6 +++--- examples/demo_workflow/app.py | 8 +++----- 3 files changed, 9 insertions(+), 8 deletions(-) diff --git a/dapr/clients/grpc/client.py b/dapr/clients/grpc/client.py index ac0def79f..fd6eadc8a 100644 --- a/dapr/clients/grpc/client.py +++ b/dapr/clients/grpc/client.py @@ -1502,6 +1502,9 @@ def get_workflow(self, instance_id: str, workflow_component: str) -> GetWorkflow try: resp = self.retry_policy.run_rpc(self._stub.GetWorkflowBeta1, req) + # not found workflows return no error, but empty status + if resp.runtime_status == "": + return None if resp.created_at is None: resp.created_at = datetime.now() if resp.last_updated_at is None: diff --git a/examples/demo_workflow/README.md b/examples/demo_workflow/README.md index 7570f8f08..e32eb4d72 100644 --- a/examples/demo_workflow/README.md +++ b/examples/demo_workflow/README.md @@ -49,11 +49,11 @@ expected_stdout_lines: - "== APP == Get response from hello_world_wf after resume call: Running" - "== APP == New counter value is: 111!" - "== APP == New counter value is: 1111!" - - "== APP == Instance Successfully Purged" - "== APP == Get response from hello_world_wf after terminate call: Terminated" - "== APP == Get response from child_wf after terminate call: Terminated" + - "== APP == Instance Successfully Purged" background: true -timeout_seconds: 30 +timeout_seconds: 50 sleep: 15 --> @@ -83,7 +83,7 @@ You should be able to see the following output: == APP == Get response from hello_world_wf after resume call: Running == APP == New counter value is: 111! == APP == New counter value is: 1111! -== APP == Instance Successfully Purged == APP == Get response from hello_world_wf after terminate call: Terminated == APP == Get response from child_wf after terminate call: Terminated +== APP == Instance Successfully Purged ``` diff --git a/examples/demo_workflow/app.py b/examples/demo_workflow/app.py index 7b198c168..e1298dea7 100644 --- a/examples/demo_workflow/app.py +++ b/examples/demo_workflow/app.py @@ -205,11 +205,9 @@ def main(): # Purge Test d.purge_workflow(instance_id=instance_id, workflow_component=workflow_component) sleep(5) - try: - d.get_workflow(instance_id=instance_id, workflow_component=workflow_component) - except DaprInternalError as err: - if non_existent_id_error in err._message: - print('Instance Successfully Purged') + get_response = d.get_workflow(instance_id=instance_id, workflow_component=workflow_component) + if get_response is None: + print('Instance Successfully Purged') workflow_runtime.shutdown() From f768d28c294f4d536bfa851e0cbded561972817d Mon Sep 17 00:00:00 2001 From: Elena Kolevska Date: Thu, 7 Aug 2025 10:35:00 +0300 Subject: [PATCH 5/9] linter Signed-off-by: Elena Kolevska --- dapr/clients/grpc/client.py | 2 +- examples/demo_workflow/app.py | 4 +++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/dapr/clients/grpc/client.py b/dapr/clients/grpc/client.py index fd6eadc8a..4a439edc8 100644 --- a/dapr/clients/grpc/client.py +++ b/dapr/clients/grpc/client.py @@ -1503,7 +1503,7 @@ def get_workflow(self, instance_id: str, workflow_component: str) -> GetWorkflow try: resp = self.retry_policy.run_rpc(self._stub.GetWorkflowBeta1, req) # not found workflows return no error, but empty status - if resp.runtime_status == "": + if resp.runtime_status == '': return None if resp.created_at is None: resp.created_at = datetime.now() diff --git a/examples/demo_workflow/app.py b/examples/demo_workflow/app.py index e1298dea7..79bbcd2a7 100644 --- a/examples/demo_workflow/app.py +++ b/examples/demo_workflow/app.py @@ -205,7 +205,9 @@ def main(): # Purge Test d.purge_workflow(instance_id=instance_id, workflow_component=workflow_component) sleep(5) - get_response = d.get_workflow(instance_id=instance_id, workflow_component=workflow_component) + get_response = d.get_workflow( + instance_id=instance_id, workflow_component=workflow_component + ) if get_response is None: print('Instance Successfully Purged') From d5518dada414145292f980e548ead41299ce371f Mon Sep 17 00:00:00 2001 From: Elena Kolevska Date: Thu, 7 Aug 2025 12:19:33 +0300 Subject: [PATCH 6/9] Keeps same api Signed-off-by: Elena Kolevska --- dapr/aio/clients/grpc/client.py | 3 +++ dapr/clients/grpc/client.py | 2 +- examples/demo_workflow/app.py | 10 +++++----- 3 files changed, 9 insertions(+), 6 deletions(-) diff --git a/dapr/aio/clients/grpc/client.py b/dapr/aio/clients/grpc/client.py index 8daa3cb07..7108ae7bf 100644 --- a/dapr/aio/clients/grpc/client.py +++ b/dapr/aio/clients/grpc/client.py @@ -1501,6 +1501,9 @@ async def get_workflow(self, instance_id: str, workflow_component: str) -> GetWo try: resp = self._stub.GetWorkflowBeta1(req) + # not found workflows return no error, but empty status + if resp.runtime_status == '': + raise DaprInternalError('no such instance exists') if resp.created_at is None: resp.created_at = datetime.now if resp.last_updated_at is None: diff --git a/dapr/clients/grpc/client.py b/dapr/clients/grpc/client.py index 4a439edc8..9d17005ed 100644 --- a/dapr/clients/grpc/client.py +++ b/dapr/clients/grpc/client.py @@ -1504,7 +1504,7 @@ def get_workflow(self, instance_id: str, workflow_component: str) -> GetWorkflow resp = self.retry_policy.run_rpc(self._stub.GetWorkflowBeta1, req) # not found workflows return no error, but empty status if resp.runtime_status == '': - return None + raise DaprInternalError('no such instance exists') if resp.created_at is None: resp.created_at = datetime.now() if resp.last_updated_at is None: diff --git a/examples/demo_workflow/app.py b/examples/demo_workflow/app.py index 79bbcd2a7..7b198c168 100644 --- a/examples/demo_workflow/app.py +++ b/examples/demo_workflow/app.py @@ -205,11 +205,11 @@ def main(): # Purge Test d.purge_workflow(instance_id=instance_id, workflow_component=workflow_component) sleep(5) - get_response = d.get_workflow( - instance_id=instance_id, workflow_component=workflow_component - ) - if get_response is None: - print('Instance Successfully Purged') + try: + d.get_workflow(instance_id=instance_id, workflow_component=workflow_component) + except DaprInternalError as err: + if non_existent_id_error in err._message: + print('Instance Successfully Purged') workflow_runtime.shutdown() From 9643578609074950bd26f0691b8c721bd821f60d Mon Sep 17 00:00:00 2001 From: Elena Kolevska Date: Thu, 7 Aug 2025 12:50:55 +0300 Subject: [PATCH 7/9] Fixes missing line in mechanical markdown Signed-off-by: Elena Kolevska --- examples/demo_workflow/README.md | 1 + examples/demo_workflow/app.py | 11 ++++++----- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/examples/demo_workflow/README.md b/examples/demo_workflow/README.md index e32eb4d72..43aa82139 100644 --- a/examples/demo_workflow/README.md +++ b/examples/demo_workflow/README.md @@ -49,6 +49,7 @@ expected_stdout_lines: - "== APP == Get response from hello_world_wf after resume call: Running" - "== APP == New counter value is: 111!" - "== APP == New counter value is: 1111!" + - "== APP == Instance Successfully Purged" - "== APP == Get response from hello_world_wf after terminate call: Terminated" - "== APP == Get response from child_wf after terminate call: Terminated" - "== APP == Instance Successfully Purged" diff --git a/examples/demo_workflow/app.py b/examples/demo_workflow/app.py index 7b198c168..c89dcae6e 100644 --- a/examples/demo_workflow/app.py +++ b/examples/demo_workflow/app.py @@ -68,16 +68,16 @@ def child_wf(ctx: DaprWorkflowContext): def hello_act(ctx: WorkflowActivityContext, wf_input): global counter counter += wf_input - print(f'New counter value is: {counter}!', flush=True) + print(f'New counter value is: {counter}!') def hello_retryable_act(ctx: WorkflowActivityContext): global retry_count if (retry_count % 2) == 0: - print(f'Retry count value is: {retry_count}!', flush=True) + print(f'Retry count value is: {retry_count}!') retry_count += 1 raise ValueError('Retryable Error') - print(f'Retry count value is: {retry_count}! This print statement verifies retry', flush=True) + print(f'Retry count value is: {retry_count}! This print statement verifies retry') retry_count += 1 @@ -85,7 +85,7 @@ def child_retryable_wf(ctx: DaprWorkflowContext): global child_orchestrator_string, child_orchestrator_count if not ctx.is_replaying: child_orchestrator_count += 1 - print(f'Appending {child_orchestrator_count} to child_orchestrator_string!', flush=True) + print(f'Appending {child_orchestrator_count} to child_orchestrator_string!') child_orchestrator_string += str(child_orchestrator_count) yield ctx.call_activity( act_for_child_wf, input=child_orchestrator_count, retry_policy=retry_policy @@ -97,7 +97,7 @@ def child_retryable_wf(ctx: DaprWorkflowContext): def act_for_child_wf(ctx: WorkflowActivityContext, inp): global child_orchestrator_string, child_act_retry_count inp_char = chr(96 + inp) - print(f'Appending {inp_char} to child_orchestrator_string!', flush=True) + print(f'Appending {inp_char} to child_orchestrator_string!') child_orchestrator_string += inp_char if child_act_retry_count % 2 == 0: child_act_retry_count += 1 @@ -165,6 +165,7 @@ def main(): sleep(5) # Purge Test d.purge_workflow(instance_id=instance_id, workflow_component=workflow_component) + sleep(5) try: d.get_workflow(instance_id=instance_id, workflow_component=workflow_component) except DaprInternalError as err: From 4e86b1f927970624cf5ad6dc51ad6e4150a91e05 Mon Sep 17 00:00:00 2001 From: Elena Kolevska Date: Thu, 7 Aug 2025 12:53:28 +0300 Subject: [PATCH 8/9] Updates proto for 1.16.0-rc.3 Signed-off-by: Elena Kolevska --- dapr/proto/runtime/v1/dapr_pb2.py | 651 ++++++++++++++--------------- dapr/proto/runtime/v1/dapr_pb2.pyi | 37 +- 2 files changed, 334 insertions(+), 354 deletions(-) diff --git a/dapr/proto/runtime/v1/dapr_pb2.py b/dapr/proto/runtime/v1/dapr_pb2.py index 4e14996c7..d978c9d16 100644 --- a/dapr/proto/runtime/v1/dapr_pb2.py +++ b/dapr/proto/runtime/v1/dapr_pb2.py @@ -15,11 +15,12 @@ from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2 from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 +from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2 from dapr.proto.common.v1 import common_pb2 as dapr_dot_proto_dot_common_dot_v1_dot_common__pb2 from dapr.proto.runtime.v1 import appcallback_pb2 as dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2 -DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n dapr/proto/runtime/v1/dapr.proto\x12\x15\x64\x61pr.proto.runtime.v1\x1a\x19google/protobuf/any.proto\x1a\x1bgoogle/protobuf/empty.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a!dapr/proto/common/v1/common.proto\x1a\'dapr/proto/runtime/v1/appcallback.proto\"X\n\x14InvokeServiceRequest\x12\n\n\x02id\x18\x01 \x01(\t\x12\x34\n\x07message\x18\x03 \x01(\x0b\x32#.dapr.proto.common.v1.InvokeRequest\"\xf5\x01\n\x0fGetStateRequest\x12\x12\n\nstore_name\x18\x01 \x01(\t\x12\x0b\n\x03key\x18\x02 \x01(\t\x12H\n\x0b\x63onsistency\x18\x03 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b/dapr/proto/runtime/v1/dapr_pb2.pyi @@ -23,6 +23,7 @@ import google.protobuf.descriptor import google.protobuf.internal.containers import google.protobuf.internal.enum_type_wrapper import google.protobuf.message +import google.protobuf.struct_pb2 import google.protobuf.timestamp_pb2 import sys import typing @@ -3166,7 +3167,6 @@ class Job(google.protobuf.message.Message): DUE_TIME_FIELD_NUMBER: builtins.int TTL_FIELD_NUMBER: builtins.int DATA_FIELD_NUMBER: builtins.int - OVERWRITE_FIELD_NUMBER: builtins.int FAILURE_POLICY_FIELD_NUMBER: builtins.int name: builtins.str """The unique name for the job.""" @@ -3207,8 +3207,6 @@ class Job(google.protobuf.message.Message): "point in time" string in the format of RFC3339, Go duration string (calculated from job creation time), or non-repeating ISO8601. """ - overwrite: builtins.bool - """If true, allows this job to overwrite an existing job with the same name.""" @property def data(self) -> google.protobuf.any_pb2.Any: """payload is the serialized job payload that will be sent to the recipient @@ -3228,11 +3226,10 @@ class Job(google.protobuf.message.Message): due_time: builtins.str | None = ..., ttl: builtins.str | None = ..., data: google.protobuf.any_pb2.Any | None = ..., - overwrite: builtins.bool = ..., failure_policy: dapr.proto.common.v1.common_pb2.JobFailurePolicy | None = ..., ) -> None: ... def HasField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "name", b"name", "overwrite", b"overwrite", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> None: ... + def ClearField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "name", b"name", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> None: ... @typing.overload def WhichOneof(self, oneof_group: typing.Literal["_due_time", b"_due_time"]) -> typing.Literal["due_time"] | None: ... @typing.overload @@ -3253,6 +3250,9 @@ class ScheduleJobRequest(google.protobuf.message.Message): DESCRIPTOR: google.protobuf.descriptor.Descriptor JOB_FIELD_NUMBER: builtins.int + OVERWRITE_FIELD_NUMBER: builtins.int + overwrite: builtins.bool + """If true, allows this job to overwrite an existing job with the same name.""" @property def job(self) -> global___Job: """The job details.""" @@ -3261,9 +3261,10 @@ class ScheduleJobRequest(google.protobuf.message.Message): self, *, job: global___Job | None = ..., + overwrite: builtins.bool = ..., ) -> None: ... def HasField(self, field_name: typing.Literal["job", b"job"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["job", b"job"]) -> None: ... + def ClearField(self, field_name: typing.Literal["job", b"job", "overwrite", b"overwrite"]) -> None: ... global___ScheduleJobRequest = ScheduleJobRequest @@ -4103,24 +4104,6 @@ class ConversationToolsFunction(google.protobuf.message.Message): DESCRIPTOR: google.protobuf.descriptor.Descriptor - @typing.final - class ParametersEntry(google.protobuf.message.Message): - DESCRIPTOR: google.protobuf.descriptor.Descriptor - - KEY_FIELD_NUMBER: builtins.int - VALUE_FIELD_NUMBER: builtins.int - key: builtins.str - @property - def value(self) -> google.protobuf.any_pb2.Any: ... - def __init__( - self, - *, - key: builtins.str = ..., - value: google.protobuf.any_pb2.Any | None = ..., - ) -> None: ... - def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... - NAME_FIELD_NUMBER: builtins.int DESCRIPTION_FIELD_NUMBER: builtins.int PARAMETERS_FIELD_NUMBER: builtins.int @@ -4131,7 +4114,7 @@ class ConversationToolsFunction(google.protobuf.message.Message): used by the model to choose when and how to call the function. """ @property - def parameters(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, google.protobuf.any_pb2.Any]: + def parameters(self) -> google.protobuf.struct_pb2.Struct: """The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/docs/guides/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. @@ -4143,9 +4126,9 @@ class ConversationToolsFunction(google.protobuf.message.Message): *, name: builtins.str = ..., description: builtins.str | None = ..., - parameters: collections.abc.Mapping[builtins.str, google.protobuf.any_pb2.Any] | None = ..., + parameters: google.protobuf.struct_pb2.Struct | None = ..., ) -> None: ... - def HasField(self, field_name: typing.Literal["_description", b"_description", "description", b"description"]) -> builtins.bool: ... + def HasField(self, field_name: typing.Literal["_description", b"_description", "description", b"description", "parameters", b"parameters"]) -> builtins.bool: ... def ClearField(self, field_name: typing.Literal["_description", b"_description", "description", b"description", "name", b"name", "parameters", b"parameters"]) -> None: ... def WhichOneof(self, oneof_group: typing.Literal["_description", b"_description"]) -> typing.Literal["description"] | None: ... From f2543c6bf5c24a0a6af3784624f07b62817ae14d Mon Sep 17 00:00:00 2001 From: Elena Kolevska Date: Thu, 7 Aug 2025 14:14:01 +0300 Subject: [PATCH 9/9] Revert "Updates proto for 1.16.0-rc.3" This reverts commit 4e86b1f927970624cf5ad6dc51ad6e4150a91e05. Signed-off-by: Elena Kolevska --- dapr/proto/runtime/v1/dapr_pb2.py | 651 +++++++++++++++-------------- dapr/proto/runtime/v1/dapr_pb2.pyi | 37 +- 2 files changed, 354 insertions(+), 334 deletions(-) diff --git a/dapr/proto/runtime/v1/dapr_pb2.py b/dapr/proto/runtime/v1/dapr_pb2.py index d978c9d16..4e14996c7 100644 --- a/dapr/proto/runtime/v1/dapr_pb2.py +++ b/dapr/proto/runtime/v1/dapr_pb2.py @@ -15,12 +15,11 @@ from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2 from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 -from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2 from dapr.proto.common.v1 import common_pb2 as dapr_dot_proto_dot_common_dot_v1_dot_common__pb2 from dapr.proto.runtime.v1 import appcallback_pb2 as dapr_dot_proto_dot_runtime_dot_v1_dot_appcallback__pb2 -DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n 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_globals['_CONVERSATIONRESULTMESSAGE']._serialized_start=18517 + _globals['_CONVERSATIONRESULTMESSAGE']._serialized_end=18627 + _globals['_CONVERSATIONRESPONSE']._serialized_start=18629 + _globals['_CONVERSATIONRESPONSE']._serialized_end=18753 + _globals['_CONVERSATIONRESPONSEALPHA2']._serialized_start=18756 + _globals['_CONVERSATIONRESPONSEALPHA2']._serialized_end=18890 + _globals['_CONVERSATIONTOOLS']._serialized_start=18892 + _globals['_CONVERSATIONTOOLS']._serialized_end=18995 + _globals['_CONVERSATIONTOOLSFUNCTION']._serialized_start=18998 + _globals['_CONVERSATIONTOOLSFUNCTION']._serialized_end=19240 + _globals['_CONVERSATIONTOOLSFUNCTION_PARAMETERSENTRY']._serialized_start=15685 + _globals['_CONVERSATIONTOOLSFUNCTION_PARAMETERSENTRY']._serialized_end=15756 + _globals['_DAPR']._serialized_start=19332 + _globals['_DAPR']._serialized_end=25787 # @@protoc_insertion_point(module_scope) diff --git a/dapr/proto/runtime/v1/dapr_pb2.pyi b/dapr/proto/runtime/v1/dapr_pb2.pyi index 42ce316d0..ed0c27454 100644 --- a/dapr/proto/runtime/v1/dapr_pb2.pyi +++ b/dapr/proto/runtime/v1/dapr_pb2.pyi @@ -23,7 +23,6 @@ import google.protobuf.descriptor import google.protobuf.internal.containers import google.protobuf.internal.enum_type_wrapper import google.protobuf.message -import google.protobuf.struct_pb2 import google.protobuf.timestamp_pb2 import sys import typing @@ -3167,6 +3166,7 @@ class Job(google.protobuf.message.Message): DUE_TIME_FIELD_NUMBER: builtins.int TTL_FIELD_NUMBER: builtins.int DATA_FIELD_NUMBER: builtins.int + OVERWRITE_FIELD_NUMBER: builtins.int FAILURE_POLICY_FIELD_NUMBER: builtins.int name: builtins.str """The unique name for the job.""" @@ -3207,6 +3207,8 @@ class Job(google.protobuf.message.Message): "point in time" string in the format of RFC3339, Go duration string (calculated from job creation time), or non-repeating ISO8601. """ + overwrite: builtins.bool + """If true, allows this job to overwrite an existing job with the same name.""" @property def data(self) -> google.protobuf.any_pb2.Any: """payload is the serialized job payload that will be sent to the recipient @@ -3226,10 +3228,11 @@ class Job(google.protobuf.message.Message): due_time: builtins.str | None = ..., ttl: builtins.str | None = ..., data: google.protobuf.any_pb2.Any | None = ..., + overwrite: builtins.bool = ..., failure_policy: dapr.proto.common.v1.common_pb2.JobFailurePolicy | None = ..., ) -> None: ... def HasField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "name", b"name", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> None: ... + def ClearField(self, field_name: typing.Literal["_due_time", b"_due_time", "_failure_policy", b"_failure_policy", "_repeats", b"_repeats", "_schedule", b"_schedule", "_ttl", b"_ttl", "data", b"data", "due_time", b"due_time", "failure_policy", b"failure_policy", "name", b"name", "overwrite", b"overwrite", "repeats", b"repeats", "schedule", b"schedule", "ttl", b"ttl"]) -> None: ... @typing.overload def WhichOneof(self, oneof_group: typing.Literal["_due_time", b"_due_time"]) -> typing.Literal["due_time"] | None: ... @typing.overload @@ -3250,9 +3253,6 @@ class ScheduleJobRequest(google.protobuf.message.Message): DESCRIPTOR: google.protobuf.descriptor.Descriptor JOB_FIELD_NUMBER: builtins.int - OVERWRITE_FIELD_NUMBER: builtins.int - overwrite: builtins.bool - """If true, allows this job to overwrite an existing job with the same name.""" @property def job(self) -> global___Job: """The job details.""" @@ -3261,10 +3261,9 @@ class ScheduleJobRequest(google.protobuf.message.Message): self, *, job: global___Job | None = ..., - overwrite: builtins.bool = ..., ) -> None: ... def HasField(self, field_name: typing.Literal["job", b"job"]) -> builtins.bool: ... - def ClearField(self, field_name: typing.Literal["job", b"job", "overwrite", b"overwrite"]) -> None: ... + def ClearField(self, field_name: typing.Literal["job", b"job"]) -> None: ... global___ScheduleJobRequest = ScheduleJobRequest @@ -4104,6 +4103,24 @@ class ConversationToolsFunction(google.protobuf.message.Message): DESCRIPTOR: google.protobuf.descriptor.Descriptor + @typing.final + class ParametersEntry(google.protobuf.message.Message): + DESCRIPTOR: google.protobuf.descriptor.Descriptor + + KEY_FIELD_NUMBER: builtins.int + VALUE_FIELD_NUMBER: builtins.int + key: builtins.str + @property + def value(self) -> google.protobuf.any_pb2.Any: ... + def __init__( + self, + *, + key: builtins.str = ..., + value: google.protobuf.any_pb2.Any | None = ..., + ) -> None: ... + def HasField(self, field_name: typing.Literal["value", b"value"]) -> builtins.bool: ... + def ClearField(self, field_name: typing.Literal["key", b"key", "value", b"value"]) -> None: ... + NAME_FIELD_NUMBER: builtins.int DESCRIPTION_FIELD_NUMBER: builtins.int PARAMETERS_FIELD_NUMBER: builtins.int @@ -4114,7 +4131,7 @@ class ConversationToolsFunction(google.protobuf.message.Message): used by the model to choose when and how to call the function. """ @property - def parameters(self) -> google.protobuf.struct_pb2.Struct: + def parameters(self) -> google.protobuf.internal.containers.MessageMap[builtins.str, google.protobuf.any_pb2.Any]: """The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/docs/guides/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format. @@ -4126,9 +4143,9 @@ class ConversationToolsFunction(google.protobuf.message.Message): *, name: builtins.str = ..., description: builtins.str | None = ..., - parameters: google.protobuf.struct_pb2.Struct | None = ..., + parameters: collections.abc.Mapping[builtins.str, google.protobuf.any_pb2.Any] | None = ..., ) -> None: ... - def HasField(self, field_name: typing.Literal["_description", b"_description", "description", b"description", "parameters", b"parameters"]) -> builtins.bool: ... + def HasField(self, field_name: typing.Literal["_description", b"_description", "description", b"description"]) -> builtins.bool: ... def ClearField(self, field_name: typing.Literal["_description", b"_description", "description", b"description", "name", b"name", "parameters", b"parameters"]) -> None: ... def WhichOneof(self, oneof_group: typing.Literal["_description", b"_description"]) -> typing.Literal["description"] | None: ...