yandex-cloud 2025.4.14

/// Defines the options for truncating thread messages within a prompt.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct PromptTruncationOptions {
    /// The maximum number of tokens allowed in the prompt.
    /// If the prompt exceeds this limit, the thread messages will be truncated.
    /// Default max_prompt_tokens: 7000
    #[prost(message, optional, tag = "1")]
    pub max_prompt_tokens: ::core::option::Option<i64>,
    /// Specifies the truncation strategy to use when the prompt exceeds the token limit.
    #[prost(oneof = "prompt_truncation_options::TruncationStrategy", tags = "2, 3")]
    pub truncation_strategy: ::core::option::Option<
        prompt_truncation_options::TruncationStrategy,
    >,
}
/// Nested message and enum types in `PromptTruncationOptions`.
pub mod prompt_truncation_options {
    /// Auto truncation strategy.
    ///
    /// No specific parameters are required for this strategy.
    /// The system will handle truncation in a way that aims to preserve the most relevant context.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct AutoStrategy {}
    /// Truncates the prompt by retaining only the last `num_messages` messages in the thread.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct LastMessagesStrategy {
        /// The number of most recent messages to retain in the prompt.
        /// If these messages exceed `max_prompt_tokens`, older messages will be further truncated to fit the limit.
        #[prost(int64, tag = "1")]
        pub num_messages: i64,
    }
    /// Specifies the truncation strategy to use when the prompt exceeds the token limit.
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TruncationStrategy {
        #[prost(message, tag = "2")]
        AutoStrategy(AutoStrategy),
        /// Retains only the last `num_messages` messages in the thread.
        /// If these messages exceed `max_prompt_tokens`, older messages will be further truncated to fit the limit.
        #[prost(message, tag = "3")]
        LastMessagesStrategy(LastMessagesStrategy),
    }
}
/// Defines the options for completion generation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CompletionOptions {
    /// The limit on the number of tokens used for single completion generation.
    /// Must be greater than zero. This maximum allowed parameter value may depend on the model being used.
    #[prost(message, optional, tag = "2")]
    pub max_tokens: ::core::option::Option<i64>,
    /// Affects creativity and randomness of responses. Should be a double number between 0 (inclusive) and 1 (inclusive).
    /// Lower values produce more straightforward responses while higher values lead to increased creativity and randomness.
    /// Default temperature: 0.3
    #[prost(message, optional, tag = "3")]
    pub temperature: ::core::option::Option<f64>,
}
/// Represents a general tool that can be one of several types.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Tool {
    #[prost(oneof = "tool::ToolType", tags = "1, 2")]
    pub tool_type: ::core::option::Option<tool::ToolType>,
}
/// Nested message and enum types in `Tool`.
pub mod tool {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum ToolType {
        /// SearchIndexTool tool that performs search across specified indexes.
        #[prost(message, tag = "1")]
        SearchIndex(super::SearchIndexTool),
        /// Function tool that can be invoked by the assistant.
        #[prost(message, tag = "2")]
        Function(super::FunctionTool),
    }
}
/// Represents a call to a tool.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ToolCall {
    #[prost(oneof = "tool_call::ToolCallType", tags = "1")]
    pub tool_call_type: ::core::option::Option<tool_call::ToolCallType>,
}
/// Nested message and enum types in `ToolCall`.
pub mod tool_call {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum ToolCallType {
        /// Represents a call to a function.
        #[prost(message, tag = "1")]
        FunctionCall(super::FunctionCall),
    }
}
/// Represents a list of tool calls.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ToolCallList {
    /// A list of tool calls to be executed.
    #[prost(message, repeated, tag = "1")]
    pub tool_calls: ::prost::alloc::vec::Vec<ToolCall>,
}
/// Represents the result of a tool call.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ToolResult {
    #[prost(oneof = "tool_result::ToolResultType", tags = "1")]
    pub tool_result_type: ::core::option::Option<tool_result::ToolResultType>,
}
/// Nested message and enum types in `ToolResult`.
pub mod tool_result {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum ToolResultType {
        /// Represents the result of a function call.
        #[prost(message, tag = "1")]
        FunctionResult(super::FunctionResult),
    }
}
/// Represents a list of tool results.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ToolResultList {
    /// A list of tool results.
    #[prost(message, repeated, tag = "1")]
    pub tool_results: ::prost::alloc::vec::Vec<ToolResult>,
}
/// Configures a tool that enables Retrieval-Augmented Generation (RAG) by allowing the assistant to search across a specified search index.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SearchIndexTool {
    /// A list of search index IDs that this tool will query. Currently, only a single index ID is supported.
    #[prost(string, repeated, tag = "1")]
    pub search_index_ids: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
    /// The maximum number of results to return from the search.
    /// Fewer results may be returned if necessary to fit within the prompt's token limit.
    /// This ensures that the combined prompt and search results do not exceed the token constraints.
    #[prost(message, optional, tag = "2")]
    pub max_num_results: ::core::option::Option<i64>,
    /// Options for rephrasing user queries.
    /// Used to rewrite the last user message for search,
    /// incorporating context from the previous conversation.
    #[prost(message, optional, tag = "3")]
    pub rephraser_options: ::core::option::Option<RephraserOptions>,
}
/// Represents a function tool that can be invoked by the assistant.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FunctionTool {
    /// The name of the function.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// A description of the function's purpose or behavior.
    #[prost(string, tag = "2")]
    pub description: ::prost::alloc::string::String,
    /// A JSON Schema that defines the expected parameters for the function.
    /// The schema should describe the required fields, their types, and any constraints or default values.
    #[prost(message, optional, tag = "3")]
    pub parameters: ::core::option::Option<::prost_types::Struct>,
}
/// Represents the invocation of a function with specific arguments.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FunctionCall {
    /// The name of the function being called.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// The structured arguments passed to the function.
    /// These arguments must adhere to the JSON Schema defined in the corresponding function's parameters.
    #[prost(message, optional, tag = "2")]
    pub arguments: ::core::option::Option<::prost_types::Struct>,
}
/// Represents the result of a function call.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FunctionResult {
    /// The name of the function that was executed.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    #[prost(oneof = "function_result::ContentType", tags = "2")]
    pub content_type: ::core::option::Option<function_result::ContentType>,
}
/// Nested message and enum types in `FunctionResult`.
pub mod function_result {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum ContentType {
        /// The result of the function call, represented as a string.
        /// This field can be used to store the output of the function.
        #[prost(string, tag = "2")]
        Content(::prost::alloc::string::String),
    }
}
/// Options for configuring the rephrasing the last user message for search using context from previous conversation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct RephraserOptions {
    /// The ID of the model used to rephrase the last user message for search.
    #[prost(string, tag = "1")]
    pub rephraser_uri: ::prost::alloc::string::String,
}
/// Assistant represents an AI assistant configuration with various settings and metadata.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct Assistant {
    /// Unique identifier of the assistant.
    #[prost(string, tag = "1")]
    pub id: ::prost::alloc::string::String,
    /// ID of the folder that the assistant belongs to.
    #[prost(string, tag = "2")]
    pub folder_id: ::prost::alloc::string::String,
    /// Name of the assistant.
    #[prost(string, tag = "3")]
    pub name: ::prost::alloc::string::String,
    /// Description of the assistant.
    #[prost(string, tag = "4")]
    pub description: ::prost::alloc::string::String,
    /// Identifier of the subject who created this assistant.
    #[prost(string, tag = "5")]
    pub created_by: ::prost::alloc::string::String,
    /// Timestamp representing when the assistant was created.
    #[prost(message, optional, tag = "6")]
    pub created_at: ::core::option::Option<::prost_types::Timestamp>,
    /// Identifier of the subject who last updated this assistant.
    #[prost(string, tag = "7")]
    pub updated_by: ::prost::alloc::string::String,
    /// Timestamp representing the last time this assistant was updated.
    #[prost(message, optional, tag = "8")]
    pub updated_at: ::core::option::Option<::prost_types::Timestamp>,
    /// Configuration for the expiration of the assistant, defining when and how the assistant will expire.
    #[prost(message, optional, tag = "9")]
    pub expiration_config: ::core::option::Option<
        super::super::common::ExpirationConfig,
    >,
    /// Timestamp representing when the assistant will expire.
    #[prost(message, optional, tag = "10")]
    pub expires_at: ::core::option::Option<::prost_types::Timestamp>,
    /// Set of key-value pairs that can be used to organize and categorize the assistant.
    #[prost(map = "string, string", tag = "11")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// The [ID of the model](/docs/foundation-models/concepts/yandexgpt/models) to be used for completion generation.
    #[prost(string, tag = "12")]
    pub model_uri: ::prost::alloc::string::String,
    /// Instructions or guidelines that the assistant should follow when generating responses or performing tasks.
    /// These instructions can help guide the assistant's behavior and responses.
    #[prost(string, tag = "13")]
    pub instruction: ::prost::alloc::string::String,
    /// Configuration options for truncating the prompt when the token count exceeds a specified limit.
    #[prost(message, optional, tag = "14")]
    pub prompt_truncation_options: ::core::option::Option<PromptTruncationOptions>,
    /// Configuration options for completion generation.
    #[prost(message, optional, tag = "15")]
    pub completion_options: ::core::option::Option<CompletionOptions>,
    /// List of tools that the assistant can use to perform additional tasks.
    /// One example is the SearchIndexTool, which is used for Retrieval-Augmented Generation (RAG).
    #[prost(message, repeated, tag = "16")]
    pub tools: ::prost::alloc::vec::Vec<Tool>,
}
/// Request to create a new assistant.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateAssistantRequest {
    #[prost(string, tag = "1")]
    pub folder_id: ::prost::alloc::string::String,
    /// Name of the assistant.
    #[prost(string, tag = "2")]
    pub name: ::prost::alloc::string::String,
    /// Description of the assistant.
    #[prost(string, tag = "3")]
    pub description: ::prost::alloc::string::String,
    /// Expiration configuration for the assistant.
    #[prost(message, optional, tag = "4")]
    pub expiration_config: ::core::option::Option<
        super::super::common::ExpirationConfig,
    >,
    /// Set of key-value pairs to label the user.
    #[prost(map = "string, string", tag = "5")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// The [ID of the model](/docs/foundation-models/concepts/yandexgpt/models) to be used for completion generation.
    #[prost(string, tag = "6")]
    pub model_uri: ::prost::alloc::string::String,
    /// Instructions or guidelines that the assistant should follow when generating responses or performing tasks.
    /// These instructions can help guide the assistant's behavior and responses.
    #[prost(string, tag = "7")]
    pub instruction: ::prost::alloc::string::String,
    /// Configuration options for truncating the prompt when the token count exceeds a specified limit.
    #[prost(message, optional, tag = "8")]
    pub prompt_truncation_options: ::core::option::Option<PromptTruncationOptions>,
    /// Configuration options for completion generation.
    #[prost(message, optional, tag = "9")]
    pub completion_options: ::core::option::Option<CompletionOptions>,
    /// List of tools that the assistant can use to perform additional tasks.
    /// One example is the SearchIndexTool, which is used for Retrieval-Augmented Generation (RAG).
    #[prost(message, repeated, tag = "10")]
    pub tools: ::prost::alloc::vec::Vec<Tool>,
}
/// Request message for retrieving an assistant by ID.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetAssistantRequest {
    /// ID of the assistant to retrieve.
    #[prost(string, tag = "1")]
    pub assistant_id: ::prost::alloc::string::String,
}
/// Request message for updating an existing assistant.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateAssistantRequest {
    /// ID of the assistant to update.
    #[prost(string, tag = "1")]
    pub assistant_id: ::prost::alloc::string::String,
    /// Field mask specifying which fields to update.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
    /// New name for the assistant.
    #[prost(string, tag = "3")]
    pub name: ::prost::alloc::string::String,
    /// New description for the assistant.
    #[prost(string, tag = "4")]
    pub description: ::prost::alloc::string::String,
    /// New expiration configuration for the assistant.
    #[prost(message, optional, tag = "5")]
    pub expiration_config: ::core::option::Option<
        super::super::common::ExpirationConfig,
    >,
    /// New set of labels for the assistant.
    #[prost(map = "string, string", tag = "6")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// The new [ID of the model](/docs/foundation-models/concepts/yandexgpt/models) to be used for completion generation.
    #[prost(string, tag = "7")]
    pub model_uri: ::prost::alloc::string::String,
    /// New instructions or guidelines for the assistant to follow.
    #[prost(string, tag = "8")]
    pub instruction: ::prost::alloc::string::String,
    /// New configuration for truncating the prompt.
    #[prost(message, optional, tag = "9")]
    pub prompt_truncation_options: ::core::option::Option<PromptTruncationOptions>,
    /// New configuration for completion generation.
    #[prost(message, optional, tag = "10")]
    pub completion_options: ::core::option::Option<CompletionOptions>,
    /// New list of tools the assistant can use.
    #[prost(message, repeated, tag = "11")]
    pub tools: ::prost::alloc::vec::Vec<Tool>,
}
/// Request message for deleting an assistant by ID.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteAssistantRequest {
    /// ID of the assistant to delete.
    #[prost(string, tag = "1")]
    pub assistant_id: ::prost::alloc::string::String,
}
/// Response message for the delete operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteAssistantResponse {}
/// Request message for listing assistants in a specific folder.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListAssistantsRequest {
    /// Folder ID from which to list assistants.
    #[prost(string, tag = "1")]
    pub folder_id: ::prost::alloc::string::String,
    /// Maximum number of assistants 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 ListAssistantsResponse {
    /// List of assistants in the specified folder.
    #[prost(message, repeated, tag = "1")]
    pub assistants: ::prost::alloc::vec::Vec<Assistant>,
    /// Token to retrieve the next page of results.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
/// Request to list all versions of a specific assistant.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListAssistantVersionsRequest {
    /// ID of the assistant whose versions are to be listed.
    #[prost(string, tag = "1")]
    pub assistant_id: ::prost::alloc::string::String,
    /// Maximum number of versions 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,
}
/// Represents a specific version of an assistant.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct AssistantVersion {
    /// ID of the assistant version.
    #[prost(string, tag = "1")]
    pub id: ::prost::alloc::string::String,
    /// Mask specifying which fields were updated in this version.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
    /// Assistant configuration for this version.
    #[prost(message, optional, tag = "3")]
    pub assistant: ::core::option::Option<Assistant>,
}
/// Response message containing the list versions operation.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListAssistantVersionsResponse {
    /// List of assistant versions.
    #[prost(message, repeated, tag = "1")]
    pub versions: ::prost::alloc::vec::Vec<AssistantVersion>,
    /// Token to retrieve the next page of results.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
/// Generated client implementations.
pub mod assistant_service_client {
    #![allow(unused_variables, dead_code, missing_docs, clippy::let_unit_value)]
    use tonic::codegen::*;
    use tonic::codegen::http::Uri;
    /// AssistantService provides operations for managing assistants.
    #[derive(Debug, Clone)]
    pub struct AssistantServiceClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl AssistantServiceClient<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> AssistantServiceClient<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,
        ) -> AssistantServiceClient<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,
        {
            AssistantServiceClient::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 assistant.
        pub async fn create(
            &mut self,
            request: impl tonic::IntoRequest<super::CreateAssistantRequest>,
        ) -> std::result::Result<tonic::Response<super::Assistant>, 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.AssistantService/Create",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.AssistantService",
                        "Create",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Retrieve details of a specific assistant by its ID.
        pub async fn get(
            &mut self,
            request: impl tonic::IntoRequest<super::GetAssistantRequest>,
        ) -> std::result::Result<tonic::Response<super::Assistant>, 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.AssistantService/Get",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.AssistantService",
                        "Get",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Update an existing assistant.
        pub async fn update(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdateAssistantRequest>,
        ) -> std::result::Result<tonic::Response<super::Assistant>, 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.AssistantService/Update",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.AssistantService",
                        "Update",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Delete an assistant by its ID.
        pub async fn delete(
            &mut self,
            request: impl tonic::IntoRequest<super::DeleteAssistantRequest>,
        ) -> std::result::Result<
            tonic::Response<super::DeleteAssistantResponse>,
            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.AssistantService/Delete",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.AssistantService",
                        "Delete",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// List assistants in a specific folder.
        pub async fn list(
            &mut self,
            request: impl tonic::IntoRequest<super::ListAssistantsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListAssistantsResponse>,
            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.AssistantService/List",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.AssistantService",
                        "List",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Lists all versions of a specific assistant.
        pub async fn list_versions(
            &mut self,
            request: impl tonic::IntoRequest<super::ListAssistantVersionsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListAssistantVersionsResponse>,
            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.AssistantService/ListVersions",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.assistants.v1.AssistantService",
                        "ListVersions",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
    }
}