langfuse-client-base 0.15.0

Auto-generated Langfuse API client from OpenAPI specification
Documentation
/*
 * server
 *
 * ## Real-time data  The only real-time path to get tracing data is to ingest via OpenTelemetry (`POST /api/public/otel/v1/traces`) and retrieve via Observations API v2 (`GET /api/public/v2/observations`) and Metrics API v2 (`GET /api/public/v2/metrics`). Other public API write and read endpoints can delay data by about 10 minutes. Direct OpenTelemetry exporters must send the `x-langfuse-ingestion-version: 4` header; current Python and JS SDKs already do. See the [Public API docs](https://langfuse.com/docs/api-and-data-platform/features/public-api) and [real-time ingestion](https://langfuse.com/integrations/native/opentelemetry.md#real-time-ingestion).  ## Authentication  Authenticate with the API using [Basic Auth](https://en.wikipedia.org/wiki/Basic_access_authentication), get API keys in the project settings:  - username: Langfuse Public Key - password: Langfuse Secret Key  ## Exports  - OpenAPI spec: https://cloud.langfuse.com/generated/api/openapi.yml - Self-hosted deployments: interactive API reference at `/api/docs` and OpenAPI spec at `/api/openapi.yaml`
 *
 * The version of the OpenAPI document:
 *
 * Generated by: https://openapi-generator.tech
 */

use crate::models;
use serde::{Deserialize, Serialize};

#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize, bon::Builder)]
pub struct CreateLlmAsJudgeEvaluatorRequest {
    /// Human-readable evaluator name. Names are not identifiers and do not need to be unique.
    #[serde(rename = "name")]
    pub name: String,
    /// Optional human-readable evaluator description.
    #[serde(
        rename = "description",
        default,
        with = "::serde_with::rust::double_option",
        skip_serializing_if = "Option::is_none"
    )]
    pub description: Option<Option<String>>,
    /// Evaluator type.
    #[serde(rename = "type")]
    pub r#type: String,
    #[serde(rename = "prompt")]
    pub prompt: Box<models::EvaluatorChatPromptInput>,
    #[serde(rename = "modelConfig", skip_serializing_if = "Option::is_none")]
    pub model_config: Option<Box<models::EvaluatorModelConfig>>,
    /// Default prompt-variable mapping, or `null` when no default is configured.
    #[serde(
        rename = "variableMapping",
        default,
        with = "::serde_with::rust::double_option",
        skip_serializing_if = "Option::is_none"
    )]
    pub variable_mapping: Option<Option<Vec<models::PromptVariableMappingInput>>>,
    #[serde(rename = "outputDefinition")]
    pub output_definition: Box<models::EvaluatorOutputDefinition>,
}

impl CreateLlmAsJudgeEvaluatorRequest {
    pub fn new(
        name: String,
        r#type: String,
        prompt: models::EvaluatorChatPromptInput,
        output_definition: models::EvaluatorOutputDefinition,
    ) -> CreateLlmAsJudgeEvaluatorRequest {
        CreateLlmAsJudgeEvaluatorRequest {
            name,
            description: None,
            r#type,
            prompt: Box::new(prompt),
            model_config: None,
            variable_mapping: None,
            output_definition: Box::new(output_definition),
        }
    }
}