new GalileoApiClient(): GalileoApiClient;

BaseClient.constructor;

protected apiUrl: string = '';

BaseClient.apiUrl;

protected client: undefined | Client<paths, `${string}/${string}`> = undefined;

BaseClient.client;

datasetId: string = "";

experimentId: string = "";

logStreamId: string = "";

projectId: string = "";

projectScoped: boolean = true;

projectType: ProjectTypes = ProjectTypes.genAI;

runId: string = "";

optional sessionId: string = undefined;

protected token: string = '';

BaseClient.token;

appendRowsToDatasetContent(
   datasetId: string,
   etag: string,
rows: object[]): Promise<void>;

createDataset(
   name: string,
   filePath: string,
   format: any): Promise<{
  column_names: null | string[];
  created_at: string;
  created_by_user:   | null
     | {
     email: string;
     first_name?: null | string;
     id: string;
     last_name?: null | string;
   };
  current_version_index: number;
  draft: boolean;
  id: string;
  name: string;
  num_rows: null | number;
  permissions?: object[];
  project_count: number;
  updated_at: string;
}>;

createExperiment(name: string, dataset?:
  | null
  | {
  dataset_id: string;
  version_index: number;
}): Promise<Experiment>;

createGlobalPromptTemplate(template: Message[], name: string): Promise<{
  all_available_versions: number[];
  all_versions?: object[];
  created_at: string;
  created_by_user:   | null
     | {
     email: string;
     first_name?: null | string;
     id: string;
     last_name?: null | string;
   };
  id: string;
  max_version: number;
  name:   | string
     | {
     append_suffix_if_duplicate?: boolean;
     value: string;
   };
  permissions?: object[];
  selected_version: {
     content_changed: boolean;
     created_at: string;
     created_by_user:   | null
        | {
        email: string;
        first_name?: null | string;
        id: string;
        last_name?: null | string;
      };
     id: string;
     lines_added?: number;
     lines_edited?: number;
     lines_removed?: number;
     model_changed: boolean;
     output_type?: null | string;
     raw?: boolean;
     settings: {
        deployment_name?: null | string;
        echo?: boolean;
        frequency_penalty?: number;
        input?: null | string;
        instructions?: null | string;
        known_models?: object[];
        logprobs?: boolean;
        max_tokens?: number;
        model_alias?: string;
        n?: number;
        presence_penalty?: number;
        reasoning_effort?: string;
        response_format?:   | null
           | {
         [key: string]: string;
         };
        stop_sequences?: null | string[];
        temperature?: number;
        tool_choice?:   | null
           | string
           | {
           function: {
              name: string;
           };
           type?: string;
         };
        tools?: null | object[];
        top_k?: number;
        top_logprobs?: number;
        top_p?: number;
        verbosity?: string;
     };
     settings_changed: boolean;
     template: string | object & object[];
     updated_at: string;
     version: number;
  };
  selected_version_id: string;
  template: string;
  total_versions: number;
  updated_at: string;
}>;

createLlmScorerVersion(
   scorerId: string,
   instructions?: string,
   chainPollTemplate?: object,
   userPrompt?: string,
   cotEnabled?: boolean,
   modelName?: string,
   numJudges?: number): Promise<{
  cot_enabled?: null | boolean;
  finetuned_scorer?:   | null
     | {
     executor?:   | null
        | "agentic_session_success"
        | "agentic_workflow_success"
        | "action_completion_luna"
        | "action_advancement_luna"
        | "bleu"
        | "chunk_attribution_utilization_luna"
        | "chunk_attribution_utilization"
        | "completeness_luna"
        | "completeness"
        | "context_adherence"
        | "context_adherence_luna"
        | "context_relevance"
        | "correctness"
        | "ground_truth_adherence"
        | "input_pii"
        | "input_sexist"
        | "input_sexist_luna"
        | "input_tone"
        | "input_toxicity"
        | "input_toxicity_luna"
        | "instruction_adherence"
        | "output_pii"
        | "output_sexist"
        | "output_sexist_luna"
        | "output_tone"
        | "output_toxicity"
        | "output_toxicity_luna"
        | "prompt_injection"
        | "prompt_injection_luna"
        | "prompt_perplexity"
        | "rouge"
        | "tool_error_rate"
        | "tool_error_rate_luna"
        | "tool_selection_quality"
        | "tool_selection_quality_luna"
        | "uncertainty";
     id: string;
     lora_task_id: number;
     name: string;
     prompt: string;
   };
  generated_scorer?:   | null
     | {
     chain_poll_template: {
        explanation_field_name?: string;
        metric_description?: null | string;
        metric_few_shot_examples?: object[];
        metric_system_prompt?: null | string;
        template: string;
        value_field_name?: string;
     };
     id: string;
     instructions?: null | string;
     name: string;
     user_prompt?: null | string;
   };
  id: string;
  input_type?:   | null
     | "basic"
     | "llm_spans"
     | "retriever_spans"
     | "sessions_normalized"
     | "sessions_trace_io_only"
     | "tool_spans"
     | "trace_input_only"
     | "trace_io_only"
     | "trace_normalized"
     | "trace_output_only";
  model_name?: null | string;
  num_judges?: null | number;
  output_type?:   | null
     | "boolean"
     | "categorical"
     | "count"
     | "discrete"
     | "freeform"
     | "percentage"
     | "multilabel";
  registered_scorer?:   | null
     | {
     id: string;
     name: string;
   };
  scoreable_node_types?: null | string[];
  version: number;
}>;

explanation;

rating;

createLogStream(name: string): Promise<LogStream>;

createLogStreamScorerSettings(logStreamId: string, scorers: object[]): Promise<void>;

createProject(name: string): Promise<Project>;

createPromptRunJob(
   experimentId: string,
   projectId: string,
   promptTemplateVersionId: string,
   datasetId: string,
   scorers?: object[],
   promptSettings?: PromptRunSettings): Promise<{
  dataset_id?: null | string;
  dataset_version_index?: null | number;
  epoch?: number;
  feature_names?: null | string[];
  job_id?: null | string;
  job_name?: string;
  labels?: string[] | string[][];
  link: string;
  luna_model?: null | string;
  message: string;
  metric_critique_configuration?:   | null
     | {
     critique_ids: string[];
     metric_name: string;
     project_type: "prompt_evaluation" | "llm_monitor" | "gen_ai";
     recompute_settings?:   | null
        | {
        mode: "runs";
        run_ids: string[];
      }
        | {
        mode: "project";
      }
        | {
        filters: unknown[];
        mode: "observe_filters";
      }
        | {
        filters: unknown[];
        mode: "log_stream_filters";
        run_id: string;
      };
     scorer_id?: null | string;
   };
  migration_name?: null | string;
  monitor_batch_id?: null | string;
  ner_labels?: null | string[];
  non_inference_logged?: boolean;
  process_existing_inference_runs?: boolean;
  project_id: string;
  prompt_customized_scorers_configuration?:   | null
     | (
     | {
     aggregate_keys?: string[];
     aggregates?:   | null
        | {
      [key: string]: unknown;
      };
     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
        explanation_field_name?: string;
        metric_description?: string;
        metric_few_shot_examples?: object[];
        metric_system_prompt?: string;
        template?: string;
        value_field_name?: string;
     };
     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
      [key: string]: unknown;
      };
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     generated_scorer_id?: null | string;
     ground_truth?: null | boolean;
     indices?: null | number[];
     input_type?:   | null
        | "basic"
        | "llm_spans"
        | "retriever_spans"
        | "sessions_normalized"
        | "sessions_trace_io_only"
        | "tool_spans"
        | "trace_input_only"
        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
     lora_task_id?: null | number;
     metric_name?: null | string;
     model_alias?: string;
     name?: "agentic_session_success";
     num_judges?: number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
     prompt?: null | string;
     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
        | "agent"
        | "llm"
        | "retriever"
        | "tool"
        | "workflow"
        | "trace"
        | "session"
        | "chain"
        | "chat")[];
     scorer_name: "_customized_agentic_session_success";
     scores?: null | unknown[];
     sub_scorers?: (
        | "_completeness_gpt"
        | "_context_adherence_luna"
        | "_context_relevance"
        | "_chunk_attribution_utilization_gpt"
        | "_factuality"
        | "_groundedness"
        | "_latency"
        | "_prompt_perplexity"
        | "_protect_status"
        | "_pii"
        | "_input_pii"
        | "_sexist"
        | "_input_sexist"
        | "_sexist_gpt"
        | "_input_sexist_gpt"
        | "_tone"
        | "_input_tone"
        | "_toxicity"
        | "_toxicity_gpt"
        | "_input_toxicity"
        | "_input_toxicity_gpt"
        | "_user_registered"
        | "_user_submitted"
        | "_user_generated"
        | "_user_finetuned"
        | "_uncertainty"
        | "_bleu"
        | "_cost"
        | "_rouge"
        | "_prompt_injection_gpt"
        | "_prompt_injection"
        | "_rag_nli"
        | "_adherence_nli"
        | "_completeness_nli"
        | "_chunk_attribution_utilization_nli"
        | "_instruction_adherence"
        | "_ground_truth_adherence"
        | "_tool_selection_quality"
        | "_tool_selection_quality_luna"
        | "_tool_error_rate"
        | "_tool_error_rate_luna"
        | "_action_completion_luna"
        | "_agentic_session_success"
        | "_action_advancement_luna"
        | "_agentic_workflow_success"
        | "_generic_wizard"
        | "_customized_completeness_gpt"
        | "_customized_factuality"
        | "_customized_groundedness"
        | "_customized_chunk_attribution_utilization_gpt"
        | "_customized_instruction_adherence"
        | "_customized_ground_truth_adherence"
        | "_customized_prompt_injection_gpt"
        | "_customized_tool_selection_quality"
        | "_customized_tool_error_rate"
        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
   }
     | {
     aggregate_keys?: string[];
     aggregates?:   | null
        | {
      [key: string]: unknown;
      };
     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
        explanation_field_name?: string;
        metric_description?: string;
        metric_few_shot_examples?: object[];
        metric_system_prompt?: string;
        template?: string;
        value_field_name?: string;
     };
     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
      [key: string]: unknown;
      };
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     generated_scorer_id?: null | string;
     ground_truth?: null | boolean;
     indices?: null | number[];
     input_type?:   | null
        | "basic"
        | "llm_spans"
        | "retriever_spans"
        | "sessions_normalized"
        | "sessions_trace_io_only"
        | "tool_spans"
        | "trace_input_only"
        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
     lora_task_id?: null | number;
     metric_name?: null | string;
     model_alias?: string;
     name?: "agentic_workflow_success";
     num_judges?: number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
     prompt?: null | string;
     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
        | "agent"
        | "llm"
        | "retriever"
        | "tool"
        | "workflow"
        | "trace"
        | "session"
        | "chain"
        | "chat")[];
     scorer_name: "_customized_agentic_workflow_success";
     scores?: null | unknown[];
     sub_scorers?: (
        | "_completeness_gpt"
        | "_context_adherence_luna"
        | "_context_relevance"
        | "_chunk_attribution_utilization_gpt"
        | "_factuality"
        | "_groundedness"
        | "_latency"
        | "_prompt_perplexity"
        | "_protect_status"
        | "_pii"
        | "_input_pii"
        | "_sexist"
        | "_input_sexist"
        | "_sexist_gpt"
        | "_input_sexist_gpt"
        | "_tone"
        | "_input_tone"
        | "_toxicity"
        | "_toxicity_gpt"
        | "_input_toxicity"
        | "_input_toxicity_gpt"
        | "_user_registered"
        | "_user_submitted"
        | "_user_generated"
        | "_user_finetuned"
        | "_uncertainty"
        | "_bleu"
        | "_cost"
        | "_rouge"
        | "_prompt_injection_gpt"
        | "_prompt_injection"
        | "_rag_nli"
        | "_adherence_nli"
        | "_completeness_nli"
        | "_chunk_attribution_utilization_nli"
        | "_instruction_adherence"
        | "_ground_truth_adherence"
        | "_tool_selection_quality"
        | "_tool_selection_quality_luna"
        | "_tool_error_rate"
        | "_tool_error_rate_luna"
        | "_action_completion_luna"
        | "_agentic_session_success"
        | "_action_advancement_luna"
        | "_agentic_workflow_success"
        | "_generic_wizard"
        | "_customized_completeness_gpt"
        | "_customized_factuality"
        | "_customized_groundedness"
        | "_customized_chunk_attribution_utilization_gpt"
        | "_customized_instruction_adherence"
        | "_customized_ground_truth_adherence"
        | "_customized_prompt_injection_gpt"
        | "_customized_tool_selection_quality"
        | "_customized_tool_error_rate"
        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
   }
     | {
     aggregate_keys?: string[];
     aggregates?:   | null
        | {
      [key: string]: unknown;
      };
     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
        explanation_field_name?: string;
        metric_description?: null | string;
        metric_few_shot_examples?: object[];
        metric_system_prompt?: null | string;
        template?: string;
        value_field_name?: string;
     };
     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
      [key: string]: unknown;
      };
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     generated_scorer_id?: null | string;
     ground_truth?: null | boolean;
     indices?: null | number[];
     input_type?:   | null
        | "basic"
        | "llm_spans"
        | "retriever_spans"
        | "sessions_normalized"
        | "sessions_trace_io_only"
        | "tool_spans"
        | "trace_input_only"
        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
     lora_task_id?: null | number;
     metric_name?: null | string;
     model_alias?: string;
     name?: "chunk_attribution_utilization";
     num_judges?: number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
     prompt?: null | string;
     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
        | "agent"
        | "llm"
        | "retriever"
        | "tool"
        | "workflow"
        | "trace"
        | "session"
        | "chain"
        | "chat")[];
     scorer_name: "_customized_chunk_attribution_utilization_gpt";
     scores?: null | unknown[];
     sub_scorers?: (
        | "_completeness_gpt"
        | "_context_adherence_luna"
        | "_context_relevance"
        | "_chunk_attribution_utilization_gpt"
        | "_factuality"
        | "_groundedness"
        | "_latency"
        | "_prompt_perplexity"
        | "_protect_status"
        | "_pii"
        | "_input_pii"
        | "_sexist"
        | "_input_sexist"
        | "_sexist_gpt"
        | "_input_sexist_gpt"
        | "_tone"
        | "_input_tone"
        | "_toxicity"
        | "_toxicity_gpt"
        | "_input_toxicity"
        | "_input_toxicity_gpt"
        | "_user_registered"
        | "_user_submitted"
        | "_user_generated"
        | "_user_finetuned"
        | "_uncertainty"
        | "_bleu"
        | "_cost"
        | "_rouge"
        | "_prompt_injection_gpt"
        | "_prompt_injection"
        | "_rag_nli"
        | "_adherence_nli"
        | "_completeness_nli"
        | "_chunk_attribution_utilization_nli"
        | "_instruction_adherence"
        | "_ground_truth_adherence"
        | "_tool_selection_quality"
        | "_tool_selection_quality_luna"
        | "_tool_error_rate"
        | "_tool_error_rate_luna"
        | "_action_completion_luna"
        | "_agentic_session_success"
        | "_action_advancement_luna"
        | "_agentic_workflow_success"
        | "_generic_wizard"
        | "_customized_completeness_gpt"
        | "_customized_factuality"
        | "_customized_groundedness"
        | "_customized_chunk_attribution_utilization_gpt"
        | "_customized_instruction_adherence"
        | "_customized_ground_truth_adherence"
        | "_customized_prompt_injection_gpt"
        | "_customized_tool_selection_quality"
        | "_customized_tool_error_rate"
        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
   }
     | {
     aggregate_keys?: string[];
     aggregates?:   | null
        | {
      [key: string]: unknown;
      };
     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
        explanation_field_name?: string;
        metric_description?: null | string;
        metric_few_shot_examples?: object[];
        metric_system_prompt?: null | string;
        template?: string;
        value_field_name?: string;
     };
     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
      [key: string]: unknown;
      };
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     generated_scorer_id?: null | string;
     ground_truth?: null | boolean;
     indices?: null | number[];
     input_type?:   | null
        | "basic"
        | "llm_spans"
        | "retriever_spans"
        | "sessions_normalized"
        | "sessions_trace_io_only"
        | "tool_spans"
        | "trace_input_only"
        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
     lora_task_id?: null | number;
     metric_name?: null | string;
     model_alias?: string;
     name?: "completeness";
     num_judges?: number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
     prompt?: null | string;
     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
        | "agent"
        | "llm"
        | "retriever"
        | "tool"
        | "workflow"
        | "trace"
        | "session"
        | "chain"
        | "chat")[];
     scorer_name: "_customized_completeness_gpt";
     scores?: null | unknown[];
     sub_scorers?: (
        | "_completeness_gpt"
        | "_context_adherence_luna"
        | "_context_relevance"
        | "_chunk_attribution_utilization_gpt"
        | "_factuality"
        | "_groundedness"
        | "_latency"
        | "_prompt_perplexity"
        | "_protect_status"
        | "_pii"
        | "_input_pii"
        | "_sexist"
        | "_input_sexist"
        | "_sexist_gpt"
        | "_input_sexist_gpt"
        | "_tone"
        | "_input_tone"
        | "_toxicity"
        | "_toxicity_gpt"
        | "_input_toxicity"
        | "_input_toxicity_gpt"
        | "_user_registered"
        | "_user_submitted"
        | "_user_generated"
        | "_user_finetuned"
        | "_uncertainty"
        | "_bleu"
        | "_cost"
        | "_rouge"
        | "_prompt_injection_gpt"
        | "_prompt_injection"
        | "_rag_nli"
        | "_adherence_nli"
        | "_completeness_nli"
        | "_chunk_attribution_utilization_nli"
        | "_instruction_adherence"
        | "_ground_truth_adherence"
        | "_tool_selection_quality"
        | "_tool_selection_quality_luna"
        | "_tool_error_rate"
        | "_tool_error_rate_luna"
        | "_action_completion_luna"
        | "_agentic_session_success"
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        | "_customized_ground_truth_adherence"
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        | "_customized_tool_error_rate"
        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
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     aggregates?:   | null
        | {
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     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
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        metric_description?: null | string;
        metric_few_shot_examples?: object[];
        metric_system_prompt?: string;
        template?: string;
        value_field_name?: string;
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     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
      [key: string]: unknown;
      };
     filters?:   | null
        | (
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        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
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        operator: ... | ... | ...;
        value: string;
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        | {
        filter_type?: ... | ...;
        key: string;
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        value: ... | ...;
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     ground_truth?: null | boolean;
     indices?: null | number[];
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        | "retriever_spans"
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        | "tool_spans"
        | "trace_input_only"
        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
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     metric_name?: null | string;
     model_alias?: string;
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     num_judges?: number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
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     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
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        | "llm"
        | "retriever"
        | "tool"
        | "workflow"
        | "trace"
        | "session"
        | "chain"
        | "chat")[];
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        | "_context_relevance"
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        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
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     aggregates?:   | null
        | {
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     can_copy_to_llm?: null | boolean;
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        metric_description?: string;
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        metric_system_prompt?: string;
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     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
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     filters?:   | null
        | (
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        case_sensitive?: ... | ... | ...;
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        value: string;
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        key: string;
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        value: ... | ...;
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        | "trace_io_only"
        | "trace_normalized"
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     metric_name?: null | string;
     model_alias?: string;
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        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
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     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
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        | "trace"
        | "session"
        | "chain"
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        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
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     aggregate_keys?: string[];
     aggregates?:   | null
        | {
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     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
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        metric_description?: string;
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        metric_system_prompt?: string;
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        value_field_name?: string;
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     cot_enabled?: null | boolean;
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     extra?:   | null
        | {
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     filters?:   | null
        | (
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        filter_type?: ... | ...;
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        operator: ... | ... | ...;
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        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
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     metric_name?: null | string;
     model_alias?: string;
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     num_judges?: number;
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        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
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     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
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        | "session"
        | "chain"
        | "chat")[];
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        | "_action_advancement_luna"
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        | "_customized_tool_selection_quality"
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        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
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     | {
     aggregate_keys?: string[];
     aggregates?:   | null
        | {
      [key: string]: unknown;
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     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
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        metric_description?: string;
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        metric_system_prompt?: string;
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        value_field_name?: string;
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     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
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     filters?:   | null
        | (
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        filter_type?: ... | ...;
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        operator: ... | ... | ...;
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     generated_scorer_id?: null | string;
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        | "trace_normalized"
        | "trace_output_only";
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     metric_name?: null | string;
     model_alias?: string;
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     num_judges?: number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
     prompt?: null | string;
     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
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        | "retriever"
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        | "session"
        | "chain"
        | "chat")[];
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     scores?: null | unknown[];
     sub_scorers?: (
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        | "_context_relevance"
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        | "_prompt_perplexity"
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        | "_input_tone"
        | "_toxicity"
        | "_toxicity_gpt"
        | "_input_toxicity"
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        | "_user_registered"
        | "_user_submitted"
        | "_user_generated"
        | "_user_finetuned"
        | "_uncertainty"
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        | "_completeness_nli"
        | "_chunk_attribution_utilization_nli"
        | "_instruction_adherence"
        | "_ground_truth_adherence"
        | "_tool_selection_quality"
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        | "_tool_error_rate"
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        | "_agentic_session_success"
        | "_action_advancement_luna"
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        | "_customized_prompt_injection_gpt"
        | "_customized_tool_selection_quality"
        | "_customized_tool_error_rate"
        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
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     | {
     aggregate_keys?: string[];
     aggregates?:   | null
        | {
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     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
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        metric_description?: string;
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        metric_system_prompt?: string;
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        value_field_name?: string;
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     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
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     filters?:   | null
        | (
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        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
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     indices?: null | number[];
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        | "trace_input_only"
        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
     lora_task_id?: null | number;
     metric_name?: null | string;
     model_alias?: string;
     name?: "prompt_injection";
     num_judges?: number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
     prompt?: null | string;
     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
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        | "llm"
        | "retriever"
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        | "trace"
        | "session"
        | "chain"
        | "chat")[];
     scorer_name: "_customized_prompt_injection_gpt";
     scores?: null | unknown[];
     sub_scorers?: (
        | "_completeness_gpt"
        | "_context_adherence_luna"
        | "_context_relevance"
        | "_chunk_attribution_utilization_gpt"
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        | "_groundedness"
        | "_latency"
        | "_prompt_perplexity"
        | "_protect_status"
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        | "_sexist"
        | "_input_sexist"
        | "_sexist_gpt"
        | "_input_sexist_gpt"
        | "_tone"
        | "_input_tone"
        | "_toxicity"
        | "_toxicity_gpt"
        | "_input_toxicity"
        | "_input_toxicity_gpt"
        | "_user_registered"
        | "_user_submitted"
        | "_user_generated"
        | "_user_finetuned"
        | "_uncertainty"
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        | "_cost"
        | "_rouge"
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        | "_prompt_injection"
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        | "_adherence_nli"
        | "_completeness_nli"
        | "_chunk_attribution_utilization_nli"
        | "_instruction_adherence"
        | "_ground_truth_adherence"
        | "_tool_selection_quality"
        | "_tool_selection_quality_luna"
        | "_tool_error_rate"
        | "_tool_error_rate_luna"
        | "_action_completion_luna"
        | "_agentic_session_success"
        | "_action_advancement_luna"
        | "_agentic_workflow_success"
        | "_generic_wizard"
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        | "_customized_factuality"
        | "_customized_groundedness"
        | "_customized_chunk_attribution_utilization_gpt"
        | "_customized_instruction_adherence"
        | "_customized_ground_truth_adherence"
        | "_customized_prompt_injection_gpt"
        | "_customized_tool_selection_quality"
        | "_customized_tool_error_rate"
        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
   }
     | {
     aggregate_keys?: string[];
     aggregates?:   | null
        | {
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      };
     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
        explanation_field_name?: string;
        metric_description?: string;
        metric_few_shot_examples?: object[];
        metric_system_prompt?: string;
        template?: string;
        value_field_name?: string;
     };
     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
      [key: string]: unknown;
      };
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
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        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
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     generated_scorer_id?: null | string;
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     indices?: null | number[];
     input_type?:   | null
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        | "tool_spans"
        | "trace_input_only"
        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
     lora_task_id?: null | number;
     metric_name?: null | string;
     model_alias?: string;
     name?: "output_sexist";
     num_judges?: number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
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     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
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        | "retriever"
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        | "session"
        | "chain"
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        | "_context_relevance"
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        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
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     metric_name?: null | string;
     model_alias?: string;
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        | "count"
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        | "percentage"
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     registered_scorer_id?: null | string;
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        | (
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        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
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        | {
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     filters?:   | null
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     model_alias?: string;
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        | "percentage"
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     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
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        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
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     aggregates?:   | null
        | {
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     can_copy_to_llm?: null | boolean;
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        metric_system_prompt?: string;
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     cot_enabled?: null | boolean;
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        | {
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     filters?:   | null
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        | "trace_output_only";
     lora_task_id?: null | number;
     metric_name?: null | string;
     model_alias?: string;
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     num_judges?: number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
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        | "percentage"
        | "multilabel";
     prompt?: null | string;
     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
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     scores?: null | unknown[];
     sub_scorers?: (
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        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
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     aggregates?:   | null
        | {
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     can_copy_to_llm?: null | boolean;
     chainpoll_template?: {
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     cot_enabled?: null | boolean;
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        | {
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     filters?:   | null
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     metric_name?: null | string;
     model_alias?: string;
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        | "boolean"
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        | "percentage"
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     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
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     scores?: null | unknown[];
     sub_scorers?: (
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        | "_customized_tool_selection_quality"
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        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
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     | {
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     aggregates?:   | null
        | {
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     can_copy_to_llm?: null | boolean;
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     cot_enabled?: null | boolean;
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        | {
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     filters?:   | null
        | (
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     metric_name?: null | string;
     model_alias?: string;
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     num_judges?: number;
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        | "boolean"
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        | "freeform"
        | "percentage"
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     registered_scorer_id?: null | string;
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        | (
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     scorer_name: "_customized_input_toxicity_gpt";
     scores?: null | unknown[];
     sub_scorers?: (
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        | "_input_toxicity"
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        | "_customized_ground_truth_adherence"
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        | "_customized_tool_selection_quality"
        | "_customized_tool_error_rate"
        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
   })[];
  prompt_dataset_id?: null | string;
  prompt_finetuned_scorers_configuration?: null | object[];
  prompt_generated_scorers_configuration?: null | string[];
  prompt_optimization_configuration?:   | null
     | {
     evaluation_criteria: string;
     evaluation_model_alias: string;
     generation_model_alias: string;
     includes_target: boolean;
     integration_name?:   | "custom"
        | "anthropic"
        | "aws_bedrock"
        | "aws_sagemaker"
        | "azure"
        | "databricks"
        | "mistral"
        | "nvidia"
        | "openai"
        | "vegas_gateway"
        | "vertex_ai"
        | "writer";
     iterations: number;
     max_tokens: number;
     num_rows: number;
     prompt: string;
     reasoning_effort?: null | string;
     task_description: string;
     temperature: number;
     verbosity?: null | string;
   };
  prompt_registered_scorers_configuration?: null | object[];
  prompt_scorer_settings?:   | null
     | {
     aggregate_keys?: null | string[];
     aggregates?:   | null
        | {
      [key: string]: unknown;
      };
     can_copy_to_llm?: null | boolean;
     chainpoll_template?:   | null
        | {
        explanation_field_name?: string;
        metric_description?: null | string;
        metric_few_shot_examples?: object[];
        metric_system_prompt?: null | string;
        template: string;
        value_field_name?: string;
      };
     cot_enabled?: null | boolean;
     description?: null | string;
     extra?:   | null
        | {
      [key: string]: unknown;
      };
     filters?:   | null
        | (
        | {
        case_sensitive?: boolean;
        filter_type?: "string";
        name: "node_name";
        operator: "eq" | "ne" | "contains";
        value: string;
      }
        | {
        filter_type?: "map";
        key: string;
        name: "metadata";
        operator: "eq" | "ne" | "not_in" | "one_of";
        value: string | string[];
      })[];
     generated_scorer_id?: null | string;
     ground_truth?: null | boolean;
     indices?: null | number[];
     input_type?:   | null
        | "basic"
        | "llm_spans"
        | "retriever_spans"
        | "sessions_normalized"
        | "sessions_trace_io_only"
        | "tool_spans"
        | "trace_input_only"
        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
     lora_task_id?: null | number;
     metric_name?: null | string;
     model_alias?: null | string;
     name?: string;
     num_judges?: null | number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
     prompt?: null | string;
     regex_field?: string;
     registered_scorer_id?: null | string;
     scoreable_node_types?:   | null
        | (
        | "agent"
        | "llm"
        | "retriever"
        | "tool"
        | "workflow"
        | "trace"
        | "session"
        | "chain"
        | "chat")[];
     scorer_name?: string;
     scores?: null | unknown[];
     sub_scorers?: (
        | "_completeness_gpt"
        | "_context_adherence_luna"
        | "_context_relevance"
        | "_chunk_attribution_utilization_gpt"
        | "_factuality"
        | "_groundedness"
        | "_latency"
        | "_prompt_perplexity"
        | "_protect_status"
        | "_pii"
        | "_input_pii"
        | "_sexist"
        | "_input_sexist"
        | "_sexist_gpt"
        | "_input_sexist_gpt"
        | "_tone"
        | "_input_tone"
        | "_toxicity"
        | "_toxicity_gpt"
        | "_input_toxicity"
        | "_input_toxicity_gpt"
        | "_user_registered"
        | "_user_submitted"
        | "_user_generated"
        | "_user_finetuned"
        | "_uncertainty"
        | "_bleu"
        | "_cost"
        | "_rouge"
        | "_prompt_injection_gpt"
        | "_prompt_injection"
        | "_rag_nli"
        | "_adherence_nli"
        | "_completeness_nli"
        | "_chunk_attribution_utilization_nli"
        | "_instruction_adherence"
        | "_ground_truth_adherence"
        | "_tool_selection_quality"
        | "_tool_selection_quality_luna"
        | "_tool_error_rate"
        | "_tool_error_rate_luna"
        | "_action_completion_luna"
        | "_agentic_session_success"
        | "_action_advancement_luna"
        | "_agentic_workflow_success"
        | "_generic_wizard"
        | "_customized_completeness_gpt"
        | "_customized_factuality"
        | "_customized_groundedness"
        | "_customized_chunk_attribution_utilization_gpt"
        | "_customized_instruction_adherence"
        | "_customized_ground_truth_adherence"
        | "_customized_prompt_injection_gpt"
        | "_customized_tool_selection_quality"
        | "_customized_tool_error_rate"
        | "_customized_agentic_session_success"
        | "_customized_agentic_workflow_success"
        | "_customized_sexist_gpt"
        | "_customized_input_sexist_gpt"
        | "_customized_toxicity_gpt"
       | "_customized_input_toxicity_gpt")[];
   };
  prompt_scorers_configuration?:   | null
     | {
     action_advancement_luna?: boolean;
     action_completion_luna?: boolean;
     adherence_nli?: boolean;
     agentic_session_success?: boolean;
     agentic_workflow_success?: boolean;
     bleu?: boolean;
     chunk_attribution_utilization_gpt?: boolean;
     chunk_attribution_utilization_nli?: boolean;
     completeness_gpt?: boolean;
     completeness_nli?: boolean;
     context_adherence_luna?: boolean;
     context_relevance?: boolean;
     cost?: boolean;
     factuality?: boolean;
     ground_truth_adherence?: boolean;
     groundedness?: boolean;
     input_pii?: boolean;
     input_sexist?: boolean;
     input_sexist_gpt?: boolean;
     input_tone?: boolean;
     input_toxicity?: boolean;
     input_toxicity_gpt?: boolean;
     instruction_adherence?: boolean;
     latency?: boolean;
     pii?: boolean;
     prompt_injection?: boolean;
     prompt_injection_gpt?: boolean;
     prompt_perplexity?: boolean;
     protect_status?: boolean;
     rouge?: boolean;
     sexist?: boolean;
     sexist_gpt?: boolean;
     tone?: boolean;
     tool_error_rate?: boolean;
     tool_error_rate_luna?: boolean;
     tool_selection_quality?: boolean;
     tool_selection_quality_luna?: boolean;
     toxicity?: boolean;
     toxicity_gpt?: boolean;
     uncertainty?: boolean;
   };
  prompt_settings?:   | null
     | {
     deployment_name?: null | string;
     echo?: boolean;
     frequency_penalty?: number;
     input?: null | string;
     instructions?: null | string;
     known_models?: object[];
     logprobs?: boolean;
     max_tokens?: number;
     model_alias?: string;
     n?: number;
     presence_penalty?: number;
     reasoning_effort?: string;
     response_format?:   | null
        | {
      [key: string]: string;
      };
     stop_sequences?: null | string[];
     temperature?: number;
     tool_choice?:   | null
        | string
        | {
        function: {
           name: string;
        };
        type?: string;
      };
     tools?: null | object[];
     top_k?: number;
     top_logprobs?: number;
     top_p?: number;
     verbosity?: string;
   };
  prompt_template_version_id?: null | string;
  protect_scorer_payload?: null | string;
  protect_trace_id?: null | string;
  resource_limits?:   | null
     | {
     cpu_time?: number;
     memory_mb?: number;
   };
  run_id: string;
  scorer_config?:   | null
     | {
     cot_enabled?: null | boolean;
     filters?:   | null
        | (
        | {
        case_sensitive?: boolean;
        filter_type?: "string";
        name: "node_name";
        operator: "eq" | "ne" | "contains";
        value: string;
      }
        | {
        filter_type?: "map";
        key: string;
        name: "metadata";
        operator: "eq" | "ne" | "not_in" | "one_of";
        value: string | string[];
      })[];
     id: string;
     input_type?:   | null
        | "basic"
        | "llm_spans"
        | "retriever_spans"
        | "sessions_normalized"
        | "sessions_trace_io_only"
        | "tool_spans"
        | "trace_input_only"
        | "trace_io_only"
        | "trace_normalized"
        | "trace_output_only";
     model_name?: null | string;
     model_type?: null | "llm" | "code" | "slm";
     name?: null | string;
     num_judges?: null | number;
     output_type?:   | null
        | "boolean"
        | "categorical"
        | "count"
        | "discrete"
        | "freeform"
        | "percentage"
        | "multilabel";
     scoreable_node_types?: null | string[];
     scorer_type: "luna" | "llm" | "code" | "preset";
     scorer_version?:   | null
        | {
        cot_enabled?: null | boolean;
        finetuned_scorer?:   | null
           | {
           executor?:   | null
              | "agentic_session_success"
              | "agentic_workflow_success"
              | "action_completion_luna"
              | "action_advancement_luna"
              | "bleu"
              | "chunk_attribution_utilization_luna"
              | "chunk_attribution_utilization"
              | "completeness_luna"
              | "completeness"
              | "context_adherence"
              | "context_adherence_luna"
              | "context_relevance"
              | "correctness"
              | "ground_truth_adherence"
              | "input_pii"
              | "input_sexist"
              | "input_sexist_luna"
              | "input_tone"
              | "input_toxicity"
              | "input_toxicity_luna"
              | "instruction_adherence"
              | "output_pii"
              | "output_sexist"
              | "output_sexist_luna"
              | "output_tone"
              | "output_toxicity"
              | "output_toxicity_luna"
              | "prompt_injection"
              | "prompt_injection_luna"
              | "prompt_perplexity"
              | "rouge"
              | "tool_error_rate"
              | "tool_error_rate_luna"
              | "tool_selection_quality"
              | "tool_selection_quality_luna"
              | "uncertainty";
           id: string;
           lora_task_id: number;
           name: string;
           prompt: string;
         };
        generated_scorer?:   | null
           | {
           chain_poll_template: {
              explanation_field_name?: string;
              metric_description?: null | string;
              metric_few_shot_examples?: ...[];
              metric_system_prompt?: null | string;
              template: string;
              value_field_name?: string;
           };
           id: string;
           instructions?: null | string;
           name: string;
           user_prompt?: null | string;
         };
        id: string;
        input_type?:   | null
           | "basic"
           | "llm_spans"
           | "retriever_spans"
           | "sessions_normalized"
           | "sessions_trace_io_only"
           | "tool_spans"
           | "trace_input_only"
           | "trace_io_only"
           | "trace_normalized"
           | "trace_output_only";
        model_name?: null | string;
        num_judges?: null | number;
        output_type?:   | null
           | "boolean"
           | "categorical"
           | "count"
           | "discrete"
           | "freeform"
           | "percentage"
           | "multilabel";
        registered_scorer?:   | null
           | {
           id: string;
           name: string;
         };
        scoreable_node_types?: null | string[];
        version: number;
      };
   };
  scorers?:   | null
     | object[]
     | (
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "agentic_session_success";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "agentic_workflow_success";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     name: "bleu";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "chunk_attribution_utilization";
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "completeness";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "context_adherence";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     name: "context_relevance";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "correctness";
     num_judges?: null | number;
     type?: "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "ground_truth_adherence";
     num_judges?: null | number;
     type?: "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     name: "input_pii";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "input_sexist";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     name: "input_tone";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "input_toxicity";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "instruction_adherence";
     num_judges?: null | number;
     type?: "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     name: "output_pii";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "output_sexist";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     name: "output_tone";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "output_toxicity";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "prompt_injection";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     name: "prompt_perplexity";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     name: "rouge";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "tool_error_rate";
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     model_name?: null | string;
     name: "tool_selection_quality";
     num_judges?: null | number;
     type?: "luna" | "plus";
   }
     | {
     filters?:   | null
        | (
        | {
        case_sensitive?: ... | ... | ...;
        filter_type?: ... | ...;
        name: "node_name";
        operator: ... | ... | ...;
        value: string;
      }
        | {
        filter_type?: ... | ...;
        key: string;
        name: "metadata";
        operator: ... | ... | ... | ...;
        value: ... | ...;
      })[];
     name: "uncertainty";
   })[];
  segment_filters?: null | object[];
  should_retry?: boolean;
  sub_scorers?: (
     | "_completeness_gpt"
     | "_context_adherence_luna"
     | "_context_relevance"
     | "_chunk_attribution_utilization_gpt"
     | "_factuality"
     | "_groundedness"
     | "_latency"
     | "_prompt_perplexity"
     | "_protect_status"
     | "_pii"
     | "_input_pii"
     | "_sexist"
     | "_input_sexist"
     | "_sexist_gpt"
     | "_input_sexist_gpt"
     | "_tone"
     | "_input_tone"
     | "_toxicity"
     | "_toxicity_gpt"
     | "_input_toxicity"
     | "_input_toxicity_gpt"
     | "_user_registered"
     | "_user_submitted"
     | "_user_generated"
     | "_user_finetuned"
     | "_uncertainty"
     | "_bleu"
     | "_cost"
     | "_rouge"
     | "_prompt_injection_gpt"
     | "_prompt_injection"
     | "_rag_nli"
     | "_adherence_nli"
     | "_completeness_nli"
     | "_chunk_attribution_utilization_nli"
     | "_instruction_adherence"
     | "_ground_truth_adherence"
     | "_tool_selection_quality"
     | "_tool_selection_quality_luna"
     | "_tool_error_rate"
     | "_tool_error_rate_luna"
     | "_action_completion_luna"
     | "_agentic_session_success"
     | "_action_advancement_luna"
     | "_agentic_workflow_success"
     | "_generic_wizard"
     | "_customized_completeness_gpt"
     | "_customized_factuality"
     | "_customized_groundedness"
     | "_customized_chunk_attribution_utilization_gpt"
     | "_customized_instruction_adherence"
     | "_customized_ground_truth_adherence"
     | "_customized_prompt_injection_gpt"
     | "_customized_tool_selection_quality"
     | "_customized_tool_error_rate"
     | "_customized_agentic_session_success"
     | "_customized_agentic_workflow_success"
     | "_customized_sexist_gpt"
     | "_customized_input_sexist_gpt"
     | "_customized_toxicity_gpt"
    | "_customized_input_toxicity_gpt")[];
  task_type?:   | null
     | 0
     | 1
     | 2
     | 4
     | 6
     | 3
     | 5
     | 7
     | 8
     | 9
     | 10
     | 11
     | 12
     | 13
     | 14
     | 15
     | 16
     | 17
     | 18;
  tasks?: null | string[];
  upload_data_in_separate_task?: boolean;
  user_id?: null | string;
  xray?: boolean;
}>;