huggingface/text-generation-inference
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OlivierDehaene 2023-02-27 19:34:33 +01:00
parent ab32074fe2
commit d845e377fd
1 changed files with 68 additions and 68 deletions
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78
router/src/server.rs
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@ -82,21 +82,21 @@ async fn health(infer: Extension<Infer>) -> Result<(), (StatusCode, Json<ErrorRe
/// Generate tokens /// Generate tokens
#[utoipa::path( #[utoipa::path(
post, post,
tag = "Text Generation Inference", tag = "Text Generation Inference",
path = "/generate", path = "/generate",
request_body = GenerateRequest, request_body = GenerateRequest,
responses( responses(
(status = 200, description = "Generated Text", body = GenerateResponse), (status = 200, description = "Generated Text", body = GenerateResponse),
(status = 424, description = "Generation Error", body = ErrorResponse, (status = 424, description = "Generation Error", body = ErrorResponse,
example = json ! ({"error": "Request failed during generation"})), example = json ! ({"error": "Request failed during generation"})),
(status = 429, description = "Model is overloaded", body = ErrorResponse, (status = 429, description = "Model is overloaded", body = ErrorResponse,
example = json ! ({"error": "Model is overloaded"})), example = json ! ({"error": "Model is overloaded"})),
(status = 422, description = "Input validation error", body = ErrorResponse, (status = 422, description = "Input validation error", body = ErrorResponse,
example = json ! ({"error": "Input validation error"})), example = json ! ({"error": "Input validation error"})),
(status = 500, description = "Incomplete generation", body = ErrorResponse, (status = 500, description = "Incomplete generation", body = ErrorResponse,
example = json ! ({"error": "Incomplete generation"})), example = json ! ({"error": "Incomplete generation"})),
) )
)] )]
#[instrument( #[instrument(
skip(infer), skip(infer),
@ -204,26 +204,26 @@ async fn generate(
/// Generate a stream of token using Server-Sent Events /// Generate a stream of token using Server-Sent Events
#[utoipa::path( #[utoipa::path(
post, post,
tag = "Text Generation Inference", tag = "Text Generation Inference",
path = "/generate_stream", path = "/generate_stream",
request_body = GenerateRequest, request_body = GenerateRequest,
responses( responses(
(status = 200, description = "Generated Text", body = StreamResponse, (status = 200, description = "Generated Text", body = StreamResponse,
content_type = "text/event-stream"), content_type = "text/event-stream"),
(status = 424, description = "Generation Error", body = ErrorResponse, (status = 424, description = "Generation Error", body = ErrorResponse,
example = json ! ({"error": "Request failed during generation"}), example = json ! ({"error": "Request failed during generation"}),
content_type = "text/event-stream"), content_type = "text/event-stream"),
(status = 429, description = "Model is overloaded", body = ErrorResponse, (status = 429, description = "Model is overloaded", body = ErrorResponse,
example = json ! ({"error": "Model is overloaded"}), example = json ! ({"error": "Model is overloaded"}),
content_type = "text/event-stream"), content_type = "text/event-stream"),
(status = 422, description = "Input validation error", body = ErrorResponse, (status = 422, description = "Input validation error", body = ErrorResponse,
example = json ! ({"error": "Input validation error"}), example = json ! ({"error": "Input validation error"}),
content_type = "text/event-stream"), content_type = "text/event-stream"),
(status = 500, description = "Incomplete generation", body = ErrorResponse, (status = 500, description = "Incomplete generation", body = ErrorResponse,
example = json ! ({"error": "Incomplete generation"}), example = json ! ({"error": "Incomplete generation"}),
content_type = "text/event-stream"), content_type = "text/event-stream"),
) )
)] )]
#[instrument( #[instrument(
skip(infer), skip(infer),
@ -365,10 +365,10 @@ async fn generate_stream(
/// Prometheus metrics scrape endpoint /// Prometheus metrics scrape endpoint
#[utoipa::path( #[utoipa::path(
get, get,
tag = "Text Generation Inference", tag = "Text Generation Inference",
path = "/metrics", path = "/metrics",
responses((status = 200, description = "Prometheus Metrics", body = String)) responses((status = 200, description = "Prometheus Metrics", body = String))
)] )]
async fn metrics(prom_handle: Extension<PrometheusHandle>) -> String { async fn metrics(prom_handle: Extension<PrometheusHandle>) -> String {
prom_handle.render() prom_handle.render()