yandex-cloud 2025.4.14

/// Represents a run of an assistant over a specific thread of messages.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Run {
    /// Unique identifier of the run.
    #[prost(string, tag = "1")]
    pub id: ::prost::alloc::string::String,
    /// Identifier for the assistant that is being run.
    #[prost(string, tag = "2")]
    pub assistant_id: ::prost::alloc::string::String,
    /// Identifier for the thread of messages that this run is associated with.
    #[prost(string, tag = "3")]
    pub thread_id: ::prost::alloc::string::String,
    /// Identifier of the subject who created this run.
    #[prost(string, tag = "4")]
    pub created_by: ::prost::alloc::string::String,
    /// Timestamp representing when the run was created.
    #[prost(message, optional, tag = "5")]
    pub created_at: ::core::option::Option<::prost_types::Timestamp>,
    /// Set of key-value pairs that can be used to organize and categorize the run.
    #[prost(map = "string, string", tag = "6")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// Current state of the run, including its status and any associated data.
    #[prost(message, optional, tag = "7")]
    pub state: ::core::option::Option<RunState>,
    /// Information about the content usage during the run, such as the number of \[tokens\](/docs/foundation-models/concepts/yandexgpt/tokens) used by the completion model.
    #[prost(message, optional, tag = "8")]
    pub usage: ::core::option::Option<ContentUsage>,
    /// Configuration options for truncating the prompt when the token count exceeds a specified limit.
    /// If specified, these options will override the assistant's prompt truncation settings for this run.
    #[prost(message, optional, tag = "9")]
    pub custom_prompt_truncation_options: ::core::option::Option<
        super::PromptTruncationOptions,
    >,
    /// Configuration options for completion generation.
    /// If specified, these options will override the assistant's completion settings for this run.
    #[prost(message, optional, tag = "10")]
    pub custom_completion_options: ::core::option::Option<super::CompletionOptions>,
    /// List of tools that are available for the assistant to use in this run.
    #[prost(message, repeated, tag = "11")]
    pub tools: ::prost::alloc::vec::Vec<super::Tool>,
}
/// Represents the current state of a run.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct RunState {
    /// Current status of a run.
    #[prost(enumeration = "run_state::RunStatus", tag = "1")]
    pub status: i32,
    /// Oneof field to capture additional data depending on the state of a run.
    #[prost(oneof = "run_state::StateData", tags = "2, 3, 4")]
    pub state_data: ::core::option::Option<run_state::StateData>,
}
/// Nested message and enum types in `RunState`.
pub mod run_state {
    /// Enum representing the status of a run.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum RunStatus {
        /// Default unspecified status.
        Unspecified = 0,
        /// Run has been created but has not started yet.
        Pending = 1,
        /// Run is currently in progress.
        InProgress = 2,
        /// Run has failed due to an error.
        Failed = 3,
        /// Run has completed successfully.
        Completed = 4,
        /// The run is waiting for tool calls to be executed and their results to be submitted.
        ToolCalls = 5,
    }
    impl RunStatus {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                RunStatus::Unspecified => "RUN_STATUS_UNSPECIFIED",
                RunStatus::Pending => "PENDING",
                RunStatus::InProgress => "IN_PROGRESS",
                RunStatus::Failed => "FAILED",
                RunStatus::Completed => "COMPLETED",
                RunStatus::ToolCalls => "TOOL_CALLS",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "RUN_STATUS_UNSPECIFIED" => Some(Self::Unspecified),
                "PENDING" => Some(Self::Pending),
                "IN_PROGRESS" => Some(Self::InProgress),
                "FAILED" => Some(Self::Failed),
                "COMPLETED" => Some(Self::Completed),
                "TOOL_CALLS" => Some(Self::ToolCalls),
                _ => None,
            }
        }
    }
    /// Oneof field to capture additional data depending on the state of a run.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum StateData {
        /// Error information if a run has failed.
        #[prost(message, tag = "2")]
        Error(super::super::super::super::common::Error),
        /// Final message generated by an assistant if a run has completed successfully.
        #[prost(message, tag = "3")]
        CompletedMessage(super::super::threads::Message),
        /// A list of tool calls requested by the assistant.
        #[prost(message, tag = "4")]
        ToolCallList(super::super::ToolCallList),
    }
}
/// Represents the content usage during a run, such as the number of \[tokens\](/docs/foundation-models/concepts/yandexgpt/tokens) used by the completion model.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ContentUsage {
    /// The number of tokens used in the prompt.
    #[prost(int64, tag = "1")]
    pub prompt_tokens: i64,
    /// The number of tokens used in the completion response.
    #[prost(int64, tag = "2")]
    pub completion_tokens: i64,
    /// The total number of tokens used (prompt + completion).
    #[prost(int64, tag = "3")]
    pub total_tokens: i64,
}
/// Request message for creating a new run.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateRunRequest {
    /// ID of the assistant for which the run is being created
    #[prost(string, tag = "1")]
    pub assistant_id: ::prost::alloc::string::String,
    /// ID of the thread associated with the run.
    #[prost(string, tag = "2")]
    pub thread_id: ::prost::alloc::string::String,
    /// Set of key-value pairs to label the run.
    #[prost(map = "string, string", tag = "3")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// Additional messages that will be written to the thread before the run starts.
    #[prost(message, repeated, tag = "4")]
    pub additional_messages: ::prost::alloc::vec::Vec<super::threads::MessageData>,
    /// Configuration options for truncating the prompt when the token count exceeds a specified limit.
    /// If specified, these options will override the assistant's prompt truncation settings for this run.
    #[prost(message, optional, tag = "5")]
    pub custom_prompt_truncation_options: ::core::option::Option<
        super::PromptTruncationOptions,
    >,
    /// Configuration options for completion generation.
    /// If specified, these options will override the assistant's completion settings for this run.
    #[prost(message, optional, tag = "6")]
    pub custom_completion_options: ::core::option::Option<super::CompletionOptions>,
    /// Enables streaming of intermediate events, such as partial messages.
    #[prost(bool, tag = "7")]
    pub stream: bool,
    /// List of tools that are available for the assistant to use in this run.
    #[prost(message, repeated, tag = "8")]
    pub tools: ::prost::alloc::vec::Vec<super::Tool>,
}
/// Request message for listing to a run events.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListenRunRequest {
    /// ID of the run to listen to.
    #[prost(string, tag = "1")]
    pub run_id: ::prost::alloc::string::String,
    /// Starting index for events. If provided, listening will start from this event.
    #[prost(message, optional, tag = "2")]
    pub events_start_idx: ::core::option::Option<i64>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct AttachRunRequest {
    /// ID of the run to listen to.
    #[prost(string, tag = "1")]
    pub run_id: ::prost::alloc::string::String,
    /// Starting index for events. If provided, listening will start from this event.
    #[prost(message, optional, tag = "2")]
    pub events_start_idx: ::core::option::Option<i64>,
    /// Event to submit to the run.
    #[prost(oneof = "attach_run_request::Event", tags = "3")]
    pub event: ::core::option::Option<attach_run_request::Event>,
}
/// Nested message and enum types in `AttachRunRequest`.
pub mod attach_run_request {
    /// Event to submit to the run.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Event {
        /// A list of tool results to submit to the run, such as the output of a function call.
        #[prost(message, tag = "3")]
        ToolResultList(super::super::ToolResultList),
    }
}
/// Request message for retrieving a specific run by its ID.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetRunRequest {
    /// ID of the run to retrieve.
    #[prost(string, tag = "1")]
    pub run_id: ::prost::alloc::string::String,
}
/// Request message for retrieving the last run associated with a specific thread.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetLastRunByThreadRequest {
    /// ID of the thread for which the last run is being fetched.
    #[prost(string, tag = "1")]
    pub thread_id: ::prost::alloc::string::String,
}
/// Request message for listing runs.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListRunsRequest {
    /// Folder ID from which to list runs.
    #[prost(string, tag = "1")]
    pub folder_id: ::prost::alloc::string::String,
    /// Maximum number of threads to return per page.
    #[prost(int64, tag = "2")]
    pub page_size: i64,
    /// Token to retrieve the next page of results.
    #[prost(string, tag = "3")]
    pub page_token: ::prost::alloc::string::String,
}
/// Response message for the list operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListRunsResponse {
    /// List of runs in the specified folder.
    #[prost(message, repeated, tag = "1")]
    pub runs: ::prost::alloc::vec::Vec<Run>,
    /// Token to retrieve the next page of results.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
/// Represents the cursor position in a stream of events.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct StreamCursor {
    /// Index of the current event in the stream.
    #[prost(int64, tag = "1")]
    pub current_event_idx: i64,
    /// The number of user events received so far.
    #[prost(int64, tag = "2")]
    pub num_user_events_received: i64,
}
/// Represents an event in the stream of a run.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct StreamEvent {
    /// The type of event.
    #[prost(enumeration = "stream_event::EventType", tag = "1")]
    pub event_type: i32,
    /// The current position in the stream.
    #[prost(message, optional, tag = "2")]
    pub stream_cursor: ::core::option::Option<StreamCursor>,
    /// Event data, which can be one of several types.
    #[prost(oneof = "stream_event::EventData", tags = "3, 4, 5, 6")]
    pub event_data: ::core::option::Option<stream_event::EventData>,
}
/// Nested message and enum types in `StreamEvent`.
pub mod stream_event {
    /// Enum representing events that can occur in the stream.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum EventType {
        /// Unspecified event type.
        Unspecified = 0,
        /// Partial message is available.
        PartialMessage = 1,
        /// Run has failed due to an error.
        Error = 2,
        /// The run has completed.
        Done = 3,
        /// The run is waiting for tool calls to be executed and their results to be submitted.
        ToolCalls = 4,
    }
    impl EventType {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                EventType::Unspecified => "EVENT_TYPE_UNSPECIFIED",
                EventType::PartialMessage => "PARTIAL_MESSAGE",
                EventType::Error => "ERROR",
                EventType::Done => "DONE",
                EventType::ToolCalls => "TOOL_CALLS",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "EVENT_TYPE_UNSPECIFIED" => Some(Self::Unspecified),
                "PARTIAL_MESSAGE" => Some(Self::PartialMessage),
                "ERROR" => Some(Self::Error),
                "DONE" => Some(Self::Done),
                "TOOL_CALLS" => Some(Self::ToolCalls),
                _ => None,
            }
        }
    }
    /// Event data, which can be one of several types.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum EventData {
        /// Error information if the run has failed.
        #[prost(message, tag = "3")]
        Error(super::super::super::super::common::Error),
        /// Partially generated message.
        #[prost(message, tag = "4")]
        PartialMessage(super::super::threads::MessageContent),
        /// Final message generated by an assistant if a run has completed successfully.
        #[prost(message, tag = "5")]
        CompletedMessage(super::super::threads::Message),
        /// A list of tool calls requested by the assistant.
        #[prost(message, tag = "6")]
        ToolCallList(super::super::ToolCallList),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SubmitToRunRequest {
    /// ID of the run to submit to.
    #[prost(string, tag = "1")]
    pub run_id: ::prost::alloc::string::String,
    /// Event to submit to the run.
    #[prost(oneof = "submit_to_run_request::Event", tags = "2")]
    pub event: ::core::option::Option<submit_to_run_request::Event>,
}
/// Nested message and enum types in `SubmitToRunRequest`.
pub mod submit_to_run_request {
    /// Event to submit to the run.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum Event {
        /// A list of tool results to submit to the run, such as the output of a function call.
        #[prost(message, tag = "2")]
        ToolResultList(super::super::ToolResultList),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SubmitToRunResponse {}
/// Generated client implementations.
pub mod run_service_client {
    #![allow(unused_variables, dead_code, missing_docs, clippy::let_unit_value)]
    use tonic::codegen::*;
    use tonic::codegen::http::Uri;
    /// RunService provides operations for managing runs.
    #[derive(Debug, Clone)]
    pub struct RunServiceClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl RunServiceClient<tonic::transport::Channel> {
        /// Attempt to create a new client by connecting to a given endpoint.
        pub async fn connect<D>(dst: D) -> Result<Self, tonic::transport::Error>
        where
            D: TryInto<tonic::transport::Endpoint>,
            D::Error: Into<StdError>,
        {
            let conn = tonic::transport::Endpoint::new(dst)?.connect().await?;
            Ok(Self::new(conn))
        }
    }
    impl<T> RunServiceClient<T>
    where
        T: tonic::client::GrpcService<tonic::body::BoxBody>,
        T::Error: Into<StdError>,
        T::ResponseBody: Body<Data = Bytes> + Send + 'static,
        <T::ResponseBody as Body>::Error: Into<StdError> + Send,
    {
        pub fn new(inner: T) -> Self {
            let inner = tonic::client::Grpc::new(inner);
            Self { inner }
        }
        pub fn with_origin(inner: T, origin: Uri) -> Self {
            let inner = tonic::client::Grpc::with_origin(inner, origin);
            Self { inner }
        }
        pub fn with_interceptor<F>(
            inner: T,
            interceptor: F,
        ) -> RunServiceClient<InterceptedService<T, F>>
        where
            F: tonic::service::Interceptor,
            T::ResponseBody: Default,
            T: tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
                Response = http::Response<
                    <T as tonic::client::GrpcService<tonic::body::BoxBody>>::ResponseBody,
                >,
            >,
            <T as tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
            >>::Error: Into<StdError> + Send + Sync,
        {
            RunServiceClient::new(InterceptedService::new(inner, interceptor))
        }
        /// Compress requests with the given encoding.
        ///
        /// This requires the server to support it otherwise it might respond with an
        /// error.
        #[must_use]
        pub fn send_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.send_compressed(encoding);
            self
        }
        /// Enable decompressing responses.
        #[must_use]
        pub fn accept_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.accept_compressed(encoding);
            self
        }
        /// Limits the maximum size of a decoded message.
        ///
        /// Default: `4MB`
        #[must_use]
        pub fn max_decoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_decoding_message_size(limit);
            self
        }
        /// Limits the maximum size of an encoded message.
        ///
        /// Default: `usize::MAX`
        #[must_use]
        pub fn max_encoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_encoding_message_size(limit);
            self
        }
        /// Create a new run for a given assistant and thread.
        pub async fn create(
            &mut self,
            request: impl tonic::IntoRequest<super::CreateRunRequest>,
        ) -> std::result::Result<tonic::Response<super::Run>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.runs.RunService/Create",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.runs.RunService",
                        "Create",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Listen to events from a specific run.
        /// If the run was created with `stream = false`, Listen will only respond with the final status of the run
        /// and will not stream partial messages or intermediate events.
        pub async fn listen(
            &mut self,
            request: impl tonic::IntoRequest<super::ListenRunRequest>,
        ) -> std::result::Result<
            tonic::Response<tonic::codec::Streaming<super::StreamEvent>>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.runs.RunService/Listen",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.runs.RunService",
                        "Listen",
                    ),
                );
            self.inner.server_streaming(req, path, codec).await
        }
        /// Bi-directional streaming method to interact with a specific run.
        /// Like `Listen`, `Attach` streams events from the run, but also allows clients to send events back.
        /// For example, it can be used to submit function call results when the run is waiting for user input.
        pub async fn attach(
            &mut self,
            request: impl tonic::IntoStreamingRequest<Message = super::AttachRunRequest>,
        ) -> std::result::Result<
            tonic::Response<tonic::codec::Streaming<super::StreamEvent>>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.runs.RunService/Attach",
            );
            let mut req = request.into_streaming_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.runs.RunService",
                        "Attach",
                    ),
                );
            self.inner.streaming(req, path, codec).await
        }
        /// Retrieve details of a specific run by its ID.
        pub async fn get(
            &mut self,
            request: impl tonic::IntoRequest<super::GetRunRequest>,
        ) -> std::result::Result<tonic::Response<super::Run>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.runs.RunService/Get",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.runs.RunService",
                        "Get",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Retrieves the most recent run for a specific thread.
        pub async fn get_last_by_thread(
            &mut self,
            request: impl tonic::IntoRequest<super::GetLastRunByThreadRequest>,
        ) -> std::result::Result<tonic::Response<super::Run>, tonic::Status> {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.runs.RunService/GetLastByThread",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.runs.RunService",
                        "GetLastByThread",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// List runs in a specific folder.
        pub async fn list(
            &mut self,
            request: impl tonic::IntoRequest<super::ListRunsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListRunsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.runs.RunService/List",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.runs.RunService",
                        "List",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Submit event to run
        /// For example, submit function call results when the run is waiting for user input.
        pub async fn submit(
            &mut self,
            request: impl tonic::IntoRequest<super::SubmitToRunRequest>,
        ) -> std::result::Result<
            tonic::Response<super::SubmitToRunResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.assistants.v1.runs.RunService/Submit",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.runs.RunService",
                        "Submit",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
    }
}