/*
* 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};
/// ModelTokenizerId : Tokenizer supported by Langfuse for model usage inference.
/// Tokenizer supported by Langfuse for model usage inference.
#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
pub enum ModelTokenizerId {
#[serde(rename = "openai")]
Openai,
#[serde(rename = "claude")]
Claude,
}
impl std::fmt::Display for ModelTokenizerId {
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
match self {
Self::Openai => write!(f, "openai"),
Self::Claude => write!(f, "claude"),
}
}
}
impl Default for ModelTokenizerId {
fn default() -> ModelTokenizerId {
Self::Openai
}
}