/*
* 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};
/// EvaluatorChatPromptInput : A user prompt string shortcut, or an ordered list of chat messages.
/// A user prompt string shortcut, or an ordered list of chat messages.
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
#[serde(untagged)]
pub enum EvaluatorChatPromptInput {
String(String),
/// An ordered list of chat messages. A system message is only allowed as the first message.
EvaluatorChatPrompt(Vec<models::EvaluatorChatMessage>),
}
impl Default for EvaluatorChatPromptInput {
fn default() -> Self {
Self::String(Default::default())
}
}