Package org.mlflow.api.proto

Interface PromptOptimization.PromptOptimizationJobConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
PromptOptimization.PromptOptimizationJobConfig, PromptOptimization.PromptOptimizationJobConfig.Builder
Enclosing class:
PromptOptimization
public static interface PromptOptimization.PromptOptimizationJobConfigOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    String
    getDatasetId()
    ID of the EvaluationDataset containing training data.
    com.google.protobuf.ByteString
    getDatasetIdBytes()
    ID of the EvaluationDataset containing training data.
    String
    getOptimizerConfigJson()
    JSON-serialized optimizer-specific configuration.
    com.google.protobuf.ByteString
    getOptimizerConfigJsonBytes()
    JSON-serialized optimizer-specific configuration.
    PromptOptimization.OptimizerType
    getOptimizerType()
    The optimizer type to use.
    String
    getScorers(int index)
    List of scorer names.
    com.google.protobuf.ByteString
    getScorersBytes(int index)
    List of scorer names.
    int
    getScorersCount()
    List of scorer names.
    List<String>
    getScorersList()
    List of scorer names.
    boolean
    hasDatasetId()
    ID of the EvaluationDataset containing training data.
    boolean
    hasOptimizerConfigJson()
    JSON-serialized optimizer-specific configuration.
    boolean
    hasOptimizerType()
    The optimizer type to use.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • hasOptimizerType

      boolean hasOptimizerType()
       The optimizer type to use.
      optional .mlflow.OptimizerType optimizer_type = 1;
      Returns:
      Whether the optimizerType field is set.

    • getOptimizerType

      PromptOptimization.OptimizerType getOptimizerType()
       The optimizer type to use.
      optional .mlflow.OptimizerType optimizer_type = 1;
      Returns:
      The optimizerType.

    • hasDatasetId

      boolean hasDatasetId()
       ID of the EvaluationDataset containing training data.
      optional string dataset_id = 2;
      Returns:
      Whether the datasetId field is set.

    • getDatasetId

      String getDatasetId()
       ID of the EvaluationDataset containing training data.
      optional string dataset_id = 2;
      Returns:
      The datasetId.

    • getDatasetIdBytes

      com.google.protobuf.ByteString getDatasetIdBytes()
       ID of the EvaluationDataset containing training data.
      optional string dataset_id = 2;
      Returns:
      The bytes for datasetId.

    • getScorersList

      List<String> getScorersList()
       List of scorer names. Can be built-in scorer class names
 (e.g., "Correctness", "Safety") or registered scorer names.
      repeated string scorers = 3;
      Returns:
      A list containing the scorers.

    • getScorersCount

      int getScorersCount()
       List of scorer names. Can be built-in scorer class names
 (e.g., "Correctness", "Safety") or registered scorer names.
      repeated string scorers = 3;
      Returns:
      The count of scorers.

    • getScorers

      String getScorers(int index)
       List of scorer names. Can be built-in scorer class names
 (e.g., "Correctness", "Safety") or registered scorer names.
      repeated string scorers = 3;
      Parameters:
      index - The index of the element to return.
      Returns:
      The scorers at the given index.

    • getScorersBytes

      com.google.protobuf.ByteString getScorersBytes(int index)
       List of scorer names. Can be built-in scorer class names
 (e.g., "Correctness", "Safety") or registered scorer names.
      repeated string scorers = 3;
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the scorers at the given index.

    • hasOptimizerConfigJson

      boolean hasOptimizerConfigJson()
       JSON-serialized optimizer-specific configuration.
 Different optimizers accept different parameters:
 - GEPA: {"reflection_model": "openai:/gpt-5", "max_metric_calls": 300}
 - MetaPrompt: {"reflection_model": "openai:/gpt-5", "guidelines": "...", "lm_kwargs": {...}}
      optional string optimizer_config_json = 4;
      Returns:
      Whether the optimizerConfigJson field is set.

    • getOptimizerConfigJson

      String getOptimizerConfigJson()
       JSON-serialized optimizer-specific configuration.
 Different optimizers accept different parameters:
 - GEPA: {"reflection_model": "openai:/gpt-5", "max_metric_calls": 300}
 - MetaPrompt: {"reflection_model": "openai:/gpt-5", "guidelines": "...", "lm_kwargs": {...}}
      optional string optimizer_config_json = 4;
      Returns:
      The optimizerConfigJson.

    • getOptimizerConfigJsonBytes

      com.google.protobuf.ByteString getOptimizerConfigJsonBytes()
       JSON-serialized optimizer-specific configuration.
 Different optimizers accept different parameters:
 - GEPA: {"reflection_model": "openai:/gpt-5", "max_metric_calls": 300}
 - MetaPrompt: {"reflection_model": "openai:/gpt-5", "guidelines": "...", "lm_kwargs": {...}}
      optional string optimizer_config_json = 4;
      Returns:
      The bytes for optimizerConfigJson.