yandex-cloud 2025.4.14

#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TuningError {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
    #[prost(string, tag = "2")]
    pub message: ::prost::alloc::string::String,
    #[prost(enumeration = "tuning_error::Type", tag = "3")]
    pub r#type: i32,
}
/// Nested message and enum types in `TuningError`.
pub mod tuning_error {
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum Type {
        Unspecified = 0,
        Public = 1,
        Internal = 2,
    }
    impl Type {
        /// 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 {
                Type::Unspecified => "TYPE_UNSPECIFIED",
                Type::Public => "PUBLIC",
                Type::Internal => "INTERNAL",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "TYPE_UNSPECIFIED" => Some(Self::Unspecified),
                "PUBLIC" => Some(Self::Public),
                "INTERNAL" => Some(Self::Internal),
                _ => None,
            }
        }
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct OptimizerAdamw {
    #[prost(double, tag = "1")]
    pub beta1: f64,
    #[prost(double, tag = "2")]
    pub beta2: f64,
    #[prost(double, tag = "3")]
    pub eps: f64,
    #[prost(double, tag = "4")]
    pub weight_decay: f64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SchedulerLinear {
    #[prost(double, tag = "1")]
    pub min_lr: f64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SchedulerConstant {}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct SchedulerCosine {
    #[prost(double, tag = "1")]
    pub min_lr: f64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TuningTask {
    #[prost(string, tag = "1")]
    pub task_id: ::prost::alloc::string::String,
    #[prost(string, tag = "3")]
    pub operation_id: ::prost::alloc::string::String,
    #[prost(enumeration = "tuning_task::Status", tag = "4")]
    pub status: i32,
    #[prost(string, tag = "5")]
    pub folder_id: ::prost::alloc::string::String,
    #[prost(string, tag = "6")]
    pub created_by: ::prost::alloc::string::String,
    #[prost(message, optional, tag = "7")]
    pub created_at: ::core::option::Option<::prost_types::Timestamp>,
    #[prost(message, optional, tag = "8")]
    pub started_at: ::core::option::Option<::prost_types::Timestamp>,
    #[prost(message, optional, tag = "9")]
    pub finished_at: ::core::option::Option<::prost_types::Timestamp>,
    #[prost(string, tag = "10")]
    pub source_model_uri: ::prost::alloc::string::String,
    #[prost(string, tag = "11")]
    pub target_model_uri: ::prost::alloc::string::String,
    #[prost(string, tag = "12")]
    pub name: ::prost::alloc::string::String,
    #[prost(string, tag = "13")]
    pub description: ::prost::alloc::string::String,
    #[prost(map = "string, string", tag = "14")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
}
/// Nested message and enum types in `TuningTask`.
pub mod tuning_task {
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum Status {
        Unspecified = 0,
        Created = 1,
        Pending = 2,
        InProgress = 3,
        Completed = 4,
        Failed = 5,
        Canceled = 6,
        Draft = 7,
    }
    impl Status {
        /// 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 {
                Status::Unspecified => "STATUS_UNSPECIFIED",
                Status::Created => "CREATED",
                Status::Pending => "PENDING",
                Status::InProgress => "IN_PROGRESS",
                Status::Completed => "COMPLETED",
                Status::Failed => "FAILED",
                Status::Canceled => "CANCELED",
                Status::Draft => "DRAFT",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "STATUS_UNSPECIFIED" => Some(Self::Unspecified),
                "CREATED" => Some(Self::Created),
                "PENDING" => Some(Self::Pending),
                "IN_PROGRESS" => Some(Self::InProgress),
                "COMPLETED" => Some(Self::Completed),
                "FAILED" => Some(Self::Failed),
                "CANCELED" => Some(Self::Canceled),
                "DRAFT" => Some(Self::Draft),
                _ => None,
            }
        }
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TuningTypeLora {
    #[prost(int64, tag = "1")]
    pub rank: i64,
    /// Integer value
    #[prost(double, tag = "2")]
    pub alpha: f64,
    #[prost(string, tag = "3")]
    pub initialization: ::prost::alloc::string::String,
    #[prost(string, tag = "4")]
    pub r#type: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TuningTypePromptTune {
    #[prost(int64, tag = "1")]
    pub virtual_tokens: i64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListTuningsRequest {
    /// Required field. ID of the folder to list tunings in.
    #[prost(string, tag = "1")]
    pub folder_id: ::prost::alloc::string::String,
    /// Maximum number of tuning tasks 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,
    #[prost(enumeration = "tuning_task::Status", tag = "4")]
    pub status: i32,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListTuningsResponse {
    /// List of tuning tasks in the specified folder.
    #[prost(message, repeated, tag = "1")]
    pub tuning_tasks: ::prost::alloc::vec::Vec<TuningTask>,
    /// Token to retrieve the next page of results.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DescribeTuningRequest {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DescribeTuningResponse {
    #[prost(message, optional, tag = "1")]
    pub tuning_task: ::core::option::Option<TuningTask>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CancelTuningRequest {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CancelTuningResponse {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TuningResponse {
    #[prost(string, tag = "3")]
    pub tuning_task_id: ::prost::alloc::string::String,
    #[prost(enumeration = "tuning_task::Status", tag = "4")]
    pub status: i32,
    #[prost(string, tag = "5")]
    pub target_model_uri: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TuningMetadata {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
    #[prost(enumeration = "tuning_task::Status", tag = "2")]
    pub status: i32,
    #[prost(int64, tag = "3")]
    pub total_steps: i64,
    #[prost(int64, tag = "4")]
    pub current_step: i64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TuningRequest {
    /// Format like a `gpt://{folder_id}/yandex-gpt/latest`
    #[prost(string, tag = "1")]
    pub base_model_uri: ::prost::alloc::string::String,
    #[prost(message, repeated, tag = "2")]
    pub train_datasets: ::prost::alloc::vec::Vec<tuning_request::WeightedDataset>,
    #[prost(message, repeated, tag = "3")]
    pub validation_datasets: ::prost::alloc::vec::Vec<tuning_request::WeightedDataset>,
    #[prost(string, tag = "200")]
    pub name: ::prost::alloc::string::String,
    #[prost(string, tag = "201")]
    pub description: ::prost::alloc::string::String,
    #[prost(map = "string, string", tag = "202")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    #[prost(oneof = "tuning_request::TuningParams", tags = "100, 101, 102, 103, 104")]
    pub tuning_params: ::core::option::Option<tuning_request::TuningParams>,
}
/// Nested message and enum types in `TuningRequest`.
pub mod tuning_request {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct WeightedDataset {
        #[prost(string, tag = "1")]
        pub dataset_id: ::prost::alloc::string::String,
        #[prost(double, tag = "2")]
        pub weight: f64,
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TuningParams {
        #[prost(message, tag = "100")]
        TextToTextCompletion(super::TextToTextCompletionTuningParams),
        #[prost(message, tag = "101")]
        TextClassificationMultilabel(super::TextClassificationMultilabelParams),
        #[prost(message, tag = "102")]
        TextClassificationMulticlass(super::TextClassificationMulticlassParams),
        /// TextEmbeddingPairParams  is unimplemented
        #[prost(message, tag = "103")]
        TextEmbeddingPairParams(super::TextEmbeddingPairParams),
        /// TextEmbeddingTripletParams  is unimplemented
        #[prost(message, tag = "104")]
        TextEmbeddingTripletParams(super::TextEmbeddingTripletParams),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TextToTextCompletionTuningParams {
    #[prost(int64, tag = "1")]
    pub seed: i64,
    #[prost(double, tag = "2")]
    pub lr: f64,
    #[prost(int64, tag = "3")]
    pub n_samples: i64,
    #[prost(string, tag = "7")]
    pub additional_arguments: ::prost::alloc::string::String,
    #[prost(message, optional, tag = "200")]
    pub scheduler: ::core::option::Option<
        text_to_text_completion_tuning_params::Scheduler,
    >,
    #[prost(message, optional, tag = "201")]
    pub optimizer: ::core::option::Option<
        text_to_text_completion_tuning_params::Optimizer,
    >,
    #[prost(
        oneof = "text_to_text_completion_tuning_params::TuningType",
        tags = "100, 101"
    )]
    pub tuning_type: ::core::option::Option<
        text_to_text_completion_tuning_params::TuningType,
    >,
}
/// Nested message and enum types in `TextToTextCompletionTuningParams`.
pub mod text_to_text_completion_tuning_params {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Scheduler {
        #[prost(double, tag = "101")]
        pub warmup_ratio: f64,
        #[prost(oneof = "scheduler::Type", tags = "1, 2, 3")]
        pub r#type: ::core::option::Option<scheduler::Type>,
    }
    /// Nested message and enum types in `Scheduler`.
    pub mod scheduler {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Linear(super::super::SchedulerLinear),
            #[prost(message, tag = "2")]
            Constant(super::super::SchedulerConstant),
            #[prost(message, tag = "3")]
            Cosine(super::super::SchedulerCosine),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Optimizer {
        #[prost(oneof = "optimizer::Type", tags = "1")]
        pub r#type: ::core::option::Option<optimizer::Type>,
    }
    /// Nested message and enum types in `Optimizer`.
    pub mod optimizer {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Adamw(super::super::OptimizerAdamw),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TuningType {
        #[prost(message, tag = "100")]
        Lora(super::TuningTypeLora),
        #[prost(message, tag = "101")]
        PromptTune(super::TuningTypePromptTune),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TextClassificationMultilabelParams {
    #[prost(int64, tag = "1")]
    pub seed: i64,
    #[prost(double, tag = "2")]
    pub lr: f64,
    #[prost(int64, tag = "3")]
    pub n_samples: i64,
    #[prost(string, tag = "7")]
    pub additional_arguments: ::prost::alloc::string::String,
    #[prost(message, optional, tag = "200")]
    pub scheduler: ::core::option::Option<
        text_classification_multilabel_params::Scheduler,
    >,
    #[prost(message, optional, tag = "201")]
    pub optimizer: ::core::option::Option<
        text_classification_multilabel_params::Optimizer,
    >,
    #[prost(
        oneof = "text_classification_multilabel_params::TuningType",
        tags = "100, 101"
    )]
    pub tuning_type: ::core::option::Option<
        text_classification_multilabel_params::TuningType,
    >,
}
/// Nested message and enum types in `TextClassificationMultilabelParams`.
pub mod text_classification_multilabel_params {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Scheduler {
        #[prost(double, tag = "101")]
        pub warmup_ratio: f64,
        #[prost(oneof = "scheduler::Type", tags = "1, 2, 3")]
        pub r#type: ::core::option::Option<scheduler::Type>,
    }
    /// Nested message and enum types in `Scheduler`.
    pub mod scheduler {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Linear(super::super::SchedulerLinear),
            #[prost(message, tag = "2")]
            Constant(super::super::SchedulerConstant),
            #[prost(message, tag = "3")]
            Cosine(super::super::SchedulerCosine),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Optimizer {
        #[prost(oneof = "optimizer::Type", tags = "1")]
        pub r#type: ::core::option::Option<optimizer::Type>,
    }
    /// Nested message and enum types in `Optimizer`.
    pub mod optimizer {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Adamw(super::super::OptimizerAdamw),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TuningType {
        #[prost(message, tag = "100")]
        Lora(super::TuningTypeLora),
        #[prost(message, tag = "101")]
        PromptTune(super::TuningTypePromptTune),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TextClassificationMulticlassParams {
    #[prost(int64, tag = "1")]
    pub seed: i64,
    #[prost(double, tag = "2")]
    pub lr: f64,
    #[prost(int64, tag = "3")]
    pub n_samples: i64,
    #[prost(string, tag = "7")]
    pub additional_arguments: ::prost::alloc::string::String,
    #[prost(message, optional, tag = "200")]
    pub scheduler: ::core::option::Option<
        text_classification_multiclass_params::Scheduler,
    >,
    #[prost(message, optional, tag = "201")]
    pub optimizer: ::core::option::Option<
        text_classification_multiclass_params::Optimizer,
    >,
    #[prost(
        oneof = "text_classification_multiclass_params::TuningType",
        tags = "100, 101"
    )]
    pub tuning_type: ::core::option::Option<
        text_classification_multiclass_params::TuningType,
    >,
}
/// Nested message and enum types in `TextClassificationMulticlassParams`.
pub mod text_classification_multiclass_params {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Scheduler {
        #[prost(double, tag = "101")]
        pub warmup_ratio: f64,
        #[prost(oneof = "scheduler::Type", tags = "1, 2, 3")]
        pub r#type: ::core::option::Option<scheduler::Type>,
    }
    /// Nested message and enum types in `Scheduler`.
    pub mod scheduler {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Linear(super::super::SchedulerLinear),
            #[prost(message, tag = "2")]
            Constant(super::super::SchedulerConstant),
            #[prost(message, tag = "3")]
            Cosine(super::super::SchedulerCosine),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Optimizer {
        #[prost(oneof = "optimizer::Type", tags = "1")]
        pub r#type: ::core::option::Option<optimizer::Type>,
    }
    /// Nested message and enum types in `Optimizer`.
    pub mod optimizer {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Adamw(super::super::OptimizerAdamw),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TuningType {
        #[prost(message, tag = "100")]
        Lora(super::TuningTypeLora),
        #[prost(message, tag = "101")]
        PromptTune(super::TuningTypePromptTune),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TextEmbeddingPairParams {
    #[prost(int64, tag = "1")]
    pub seed: i64,
    #[prost(double, tag = "2")]
    pub lr: f64,
    #[prost(int64, tag = "3")]
    pub n_samples: i64,
    #[prost(string, tag = "7")]
    pub additional_arguments: ::prost::alloc::string::String,
    #[prost(int64, repeated, tag = "8")]
    pub embedding_dims: ::prost::alloc::vec::Vec<i64>,
    #[prost(message, optional, tag = "200")]
    pub scheduler: ::core::option::Option<text_embedding_pair_params::Scheduler>,
    #[prost(message, optional, tag = "201")]
    pub optimizer: ::core::option::Option<text_embedding_pair_params::Optimizer>,
    #[prost(oneof = "text_embedding_pair_params::TuningType", tags = "100, 101")]
    pub tuning_type: ::core::option::Option<text_embedding_pair_params::TuningType>,
}
/// Nested message and enum types in `TextEmbeddingPairParams`.
pub mod text_embedding_pair_params {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Scheduler {
        #[prost(oneof = "scheduler::Type", tags = "1, 2, 3")]
        pub r#type: ::core::option::Option<scheduler::Type>,
        #[prost(oneof = "scheduler::OptionalWarmupRatio", tags = "101")]
        pub optional_warmup_ratio: ::core::option::Option<
            scheduler::OptionalWarmupRatio,
        >,
    }
    /// Nested message and enum types in `Scheduler`.
    pub mod scheduler {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Linear(super::super::SchedulerLinear),
            #[prost(message, tag = "2")]
            Constant(super::super::SchedulerConstant),
            #[prost(message, tag = "3")]
            Cosine(super::super::SchedulerCosine),
        }
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum OptionalWarmupRatio {
            #[prost(double, tag = "101")]
            WarmupRatio(f64),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Optimizer {
        #[prost(oneof = "optimizer::Type", tags = "1")]
        pub r#type: ::core::option::Option<optimizer::Type>,
    }
    /// Nested message and enum types in `Optimizer`.
    pub mod optimizer {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Adamw(super::super::OptimizerAdamw),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TuningType {
        #[prost(message, tag = "100")]
        Lora(super::TuningTypeLora),
        #[prost(message, tag = "101")]
        PromptTune(super::TuningTypePromptTune),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TextEmbeddingTripletParams {
    #[prost(int64, tag = "1")]
    pub seed: i64,
    #[prost(double, tag = "2")]
    pub lr: f64,
    #[prost(int64, tag = "3")]
    pub n_samples: i64,
    #[prost(string, tag = "7")]
    pub additional_arguments: ::prost::alloc::string::String,
    #[prost(int64, repeated, tag = "8")]
    pub embedding_dims: ::prost::alloc::vec::Vec<i64>,
    #[prost(message, optional, tag = "200")]
    pub scheduler: ::core::option::Option<text_embedding_triplet_params::Scheduler>,
    #[prost(message, optional, tag = "201")]
    pub optimizer: ::core::option::Option<text_embedding_triplet_params::Optimizer>,
    #[prost(oneof = "text_embedding_triplet_params::TuningType", tags = "100, 101")]
    pub tuning_type: ::core::option::Option<text_embedding_triplet_params::TuningType>,
}
/// Nested message and enum types in `TextEmbeddingTripletParams`.
pub mod text_embedding_triplet_params {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Scheduler {
        #[prost(oneof = "scheduler::Type", tags = "1, 2, 3")]
        pub r#type: ::core::option::Option<scheduler::Type>,
        #[prost(oneof = "scheduler::OptionalWarmupRatio", tags = "101")]
        pub optional_warmup_ratio: ::core::option::Option<
            scheduler::OptionalWarmupRatio,
        >,
    }
    /// Nested message and enum types in `Scheduler`.
    pub mod scheduler {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Linear(super::super::SchedulerLinear),
            #[prost(message, tag = "2")]
            Constant(super::super::SchedulerConstant),
            #[prost(message, tag = "3")]
            Cosine(super::super::SchedulerCosine),
        }
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum OptionalWarmupRatio {
            #[prost(double, tag = "101")]
            WarmupRatio(f64),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Message)]
    pub struct Optimizer {
        #[prost(oneof = "optimizer::Type", tags = "1")]
        pub r#type: ::core::option::Option<optimizer::Type>,
    }
    /// Nested message and enum types in `Optimizer`.
    pub mod optimizer {
        #[allow(clippy::derive_partial_eq_without_eq)]
        #[derive(Clone, PartialEq, ::prost::Oneof)]
        pub enum Type {
            #[prost(message, tag = "1")]
            Adamw(super::super::OptimizerAdamw),
        }
    }
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TuningType {
        #[prost(message, tag = "100")]
        Lora(super::TuningTypeLora),
        #[prost(message, tag = "101")]
        PromptTune(super::TuningTypePromptTune),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetMetricsUrlRequest {
    #[prost(string, tag = "1")]
    pub task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetMetricsUrlResponse {
    #[prost(string, tag = "1")]
    pub load_url: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetOptionsRequest {
    #[prost(string, tag = "1")]
    pub task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetOptionsResponse {
    #[prost(string, tag = "1")]
    pub task_id: ::prost::alloc::string::String,
    #[prost(string, tag = "2")]
    pub base_model_uri: ::prost::alloc::string::String,
    #[prost(message, repeated, tag = "3")]
    pub train_datasets: ::prost::alloc::vec::Vec<tuning_request::WeightedDataset>,
    #[prost(message, repeated, tag = "4")]
    pub validation_datasets: ::prost::alloc::vec::Vec<tuning_request::WeightedDataset>,
    #[prost(
        oneof = "get_options_response::TuningParams",
        tags = "100, 101, 102, 103, 104"
    )]
    pub tuning_params: ::core::option::Option<get_options_response::TuningParams>,
}
/// Nested message and enum types in `GetOptionsResponse`.
pub mod get_options_response {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TuningParams {
        #[prost(message, tag = "100")]
        TextToTextCompletion(super::TextToTextCompletionTuningParams),
        #[prost(message, tag = "101")]
        TextClassificationMultilabel(super::TextClassificationMultilabelParams),
        #[prost(message, tag = "102")]
        TextClassificationMulticlass(super::TextClassificationMulticlassParams),
        #[prost(message, tag = "103")]
        TextEmbeddingPairParams(super::TextEmbeddingPairParams),
        #[prost(message, tag = "104")]
        TextEmbeddingTripletParams(super::TextEmbeddingTripletParams),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListErrorsRequest {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListErrorsResponse {
    #[prost(message, repeated, tag = "1")]
    pub tuning_error: ::prost::alloc::vec::Vec<TuningError>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateTuningDraftRequest {
    #[prost(string, tag = "1")]
    pub base_model_uri: ::prost::alloc::string::String,
    #[prost(message, repeated, tag = "2")]
    pub train_datasets: ::prost::alloc::vec::Vec<tuning_request::WeightedDataset>,
    #[prost(message, repeated, tag = "3")]
    pub validation_datasets: ::prost::alloc::vec::Vec<tuning_request::WeightedDataset>,
    #[prost(string, tag = "200")]
    pub name: ::prost::alloc::string::String,
    #[prost(string, tag = "201")]
    pub description: ::prost::alloc::string::String,
    #[prost(map = "string, string", tag = "202")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    #[prost(
        oneof = "create_tuning_draft_request::TuningParams",
        tags = "100, 101, 102, 103, 104"
    )]
    pub tuning_params: ::core::option::Option<create_tuning_draft_request::TuningParams>,
}
/// Nested message and enum types in `CreateTuningDraftRequest`.
pub mod create_tuning_draft_request {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TuningParams {
        #[prost(message, tag = "100")]
        TextToTextCompletion(super::TextToTextCompletionTuningParams),
        #[prost(message, tag = "101")]
        TextClassificationMultilabel(super::TextClassificationMultilabelParams),
        #[prost(message, tag = "102")]
        TextClassificationMulticlass(super::TextClassificationMulticlassParams),
        #[prost(message, tag = "103")]
        TextEmbeddingPairParams(super::TextEmbeddingPairParams),
        #[prost(message, tag = "104")]
        TextEmbeddingTripletParams(super::TextEmbeddingTripletParams),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateTuningDraftResponse {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateTuningDraftRequest {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
    #[prost(string, tag = "2")]
    pub base_model_uri: ::prost::alloc::string::String,
    #[prost(message, repeated, tag = "3")]
    pub train_datasets: ::prost::alloc::vec::Vec<tuning_request::WeightedDataset>,
    #[prost(message, repeated, tag = "4")]
    pub validation_datasets: ::prost::alloc::vec::Vec<tuning_request::WeightedDataset>,
    #[prost(string, tag = "200")]
    pub name: ::prost::alloc::string::String,
    #[prost(string, tag = "201")]
    pub description: ::prost::alloc::string::String,
    #[prost(map = "string, string", tag = "202")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    #[prost(
        oneof = "update_tuning_draft_request::TuningParams",
        tags = "100, 101, 102, 103, 104"
    )]
    pub tuning_params: ::core::option::Option<update_tuning_draft_request::TuningParams>,
}
/// Nested message and enum types in `UpdateTuningDraftRequest`.
pub mod update_tuning_draft_request {
    #[allow(clippy::derive_partial_eq_without_eq)]
    #[derive(Clone, PartialEq, ::prost::Oneof)]
    pub enum TuningParams {
        #[prost(message, tag = "100")]
        TextToTextCompletion(super::TextToTextCompletionTuningParams),
        #[prost(message, tag = "101")]
        TextClassificationMultilabel(super::TextClassificationMultilabelParams),
        #[prost(message, tag = "102")]
        TextClassificationMulticlass(super::TextClassificationMulticlassParams),
        #[prost(message, tag = "103")]
        TextEmbeddingPairParams(super::TextEmbeddingPairParams),
        #[prost(message, tag = "104")]
        TextEmbeddingTripletParams(super::TextEmbeddingTripletParams),
    }
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateTuningDraftResponse {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteTuningDraftRequest {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteTuningDraftResponse {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct TuneDraftRequest {
    #[prost(string, tag = "1")]
    pub tuning_task_id: ::prost::alloc::string::String,
}
/// Generated client implementations.
pub mod tuning_service_client {
    #![allow(unused_variables, dead_code, missing_docs, clippy::let_unit_value)]
    use tonic::codegen::*;
    use tonic::codegen::http::Uri;
    #[derive(Debug, Clone)]
    pub struct TuningServiceClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl TuningServiceClient<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> TuningServiceClient<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,
        ) -> TuningServiceClient<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,
        {
            TuningServiceClient::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
        }
        pub async fn tune(
            &mut self,
            request: impl tonic::IntoRequest<super::TuningRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::operation::Operation>,
            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.tuning.v1.TuningService/Tune",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new("yandex.cloud.ai.tuning.v1.TuningService", "Tune"),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn list(
            &mut self,
            request: impl tonic::IntoRequest<super::ListTuningsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListTuningsResponse>,
            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.tuning.v1.TuningService/List",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new("yandex.cloud.ai.tuning.v1.TuningService", "List"),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn describe(
            &mut self,
            request: impl tonic::IntoRequest<super::DescribeTuningRequest>,
        ) -> std::result::Result<
            tonic::Response<super::DescribeTuningResponse>,
            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.tuning.v1.TuningService/Describe",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.tuning.v1.TuningService",
                        "Describe",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn cancel(
            &mut self,
            request: impl tonic::IntoRequest<super::CancelTuningRequest>,
        ) -> std::result::Result<
            tonic::Response<super::CancelTuningResponse>,
            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.tuning.v1.TuningService/Cancel",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new("yandex.cloud.ai.tuning.v1.TuningService", "Cancel"),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn get_metrics_url(
            &mut self,
            request: impl tonic::IntoRequest<super::GetMetricsUrlRequest>,
        ) -> std::result::Result<
            tonic::Response<super::GetMetricsUrlResponse>,
            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.tuning.v1.TuningService/GetMetricsUrl",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.tuning.v1.TuningService",
                        "GetMetricsUrl",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn get_options(
            &mut self,
            request: impl tonic::IntoRequest<super::GetOptionsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::GetOptionsResponse>,
            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.tuning.v1.TuningService/GetOptions",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.tuning.v1.TuningService",
                        "GetOptions",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn list_errors(
            &mut self,
            request: impl tonic::IntoRequest<super::ListErrorsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListErrorsResponse>,
            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.tuning.v1.TuningService/ListErrors",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.tuning.v1.TuningService",
                        "ListErrors",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn create_draft(
            &mut self,
            request: impl tonic::IntoRequest<super::CreateTuningDraftRequest>,
        ) -> std::result::Result<
            tonic::Response<super::CreateTuningDraftResponse>,
            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.tuning.v1.TuningService/CreateDraft",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.tuning.v1.TuningService",
                        "CreateDraft",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn update_draft(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdateTuningDraftRequest>,
        ) -> std::result::Result<
            tonic::Response<super::UpdateTuningDraftResponse>,
            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.tuning.v1.TuningService/UpdateDraft",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.tuning.v1.TuningService",
                        "UpdateDraft",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn delete_draft(
            &mut self,
            request: impl tonic::IntoRequest<super::DeleteTuningDraftRequest>,
        ) -> std::result::Result<
            tonic::Response<super::DeleteTuningDraftResponse>,
            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.tuning.v1.TuningService/DeleteDraft",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.tuning.v1.TuningService",
                        "DeleteDraft",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn tune_draft(
            &mut self,
            request: impl tonic::IntoRequest<super::TuneDraftRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::operation::Operation>,
            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.tuning.v1.TuningService/TuneDraft",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.tuning.v1.TuningService",
                        "TuneDraft",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
    }
}