langfuse_client_base/models/model_tokenizer_id.rs
1/*
2 * server
3 *
4 * ## 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`
5 *
6 * The version of the OpenAPI document:
7 *
8 * Generated by: https://openapi-generator.tech
9 */
10
11use crate::models;
12use serde::{Deserialize, Serialize};
13
14/// ModelTokenizerId : Tokenizer supported by Langfuse for model usage inference.
15/// Tokenizer supported by Langfuse for model usage inference.
16#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
17pub enum ModelTokenizerId {
18 #[serde(rename = "openai")]
19 Openai,
20 #[serde(rename = "claude")]
21 Claude,
22}
23
24impl std::fmt::Display for ModelTokenizerId {
25 fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
26 match self {
27 Self::Openai => write!(f, "openai"),
28 Self::Claude => write!(f, "claude"),
29 }
30 }
31}
32
33impl Default for ModelTokenizerId {
34 fn default() -> ModelTokenizerId {
35 Self::Openai
36 }
37}