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https://github.com/huggingface/text-generation-inference.git
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fmt
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OlivierDehaene
parent
8d7a0c1992
commit
a448acbfbe
@ -210,13 +210,62 @@
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},
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"components": {
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"schemas": {
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"BestOfSequence": {
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"type": "object",
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"required": [
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"generated_text",
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"finish_reason",
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"generated_tokens",
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"prefill",
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"tokens"
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],
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"properties": {
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"finish_reason": {
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"$ref": "#/components/schemas/FinishReason"
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},
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"generated_text": {
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"type": "string",
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"example": "test"
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},
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"generated_tokens": {
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"type": "integer",
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"format": "int32",
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"example": 1
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},
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"prefill": {
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"type": "array",
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"items": {
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"$ref": "#/components/schemas/PrefillToken"
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}
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},
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"seed": {
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"type": "integer",
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"format": "int64",
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"example": 42
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},
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"tokens": {
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"type": "array",
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"items": {
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"$ref": "#/components/schemas/Token"
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}
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}
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}
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},
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"Details": {
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"type": "object",
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"required": [
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"finish_reason",
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"generated_tokens"
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"generated_tokens",
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"prefill",
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"tokens"
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],
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"properties": {
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"best_of_sequences": {
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"type": "array",
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"items": {
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"$ref": "#/components/schemas/BestOfSequence"
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}
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},
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"finish_reason": {
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"$ref": "#/components/schemas/FinishReason"
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},
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@ -247,11 +296,15 @@
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"ErrorResponse": {
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"type": "object",
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"required": [
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"error"
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"error",
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"error_type"
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],
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"properties": {
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"error": {
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"type": "string"
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},
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"error_type": {
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"type": "string"
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}
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}
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},
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@ -266,6 +319,13 @@
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"GenerateParameters": {
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"type": "object",
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"properties": {
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"best_of": {
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"type": "integer",
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"default": "null",
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"example": 1,
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"nullable": true,
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"exclusiveMinimum": 0.0
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},
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"details": {
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"type": "boolean",
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"default": "true"
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@ -297,7 +357,11 @@
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},
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"seed": {
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"type": "integer",
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"format": "int64"
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"format": "int64",
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"default": "null",
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"example": "null",
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"nullable": true,
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"exclusiveMinimum": 0.0
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},
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"stop": {
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"type": "array",
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@ -334,6 +398,15 @@
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"maximum": 1.0,
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"exclusiveMinimum": 0.0
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},
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"typical_p": {
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"type": "number",
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"format": "float",
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"default": "null",
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"example": 0.95,
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"nullable": true,
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"maximum": 1.0,
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"exclusiveMinimum": 0.0
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},
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"watermark": {
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"type": "boolean",
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"default": "false",
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@ -87,21 +87,21 @@ async fn health(infer: Extension<Infer>) -> Result<(), (StatusCode, Json<ErrorRe
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/// Generate tokens
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#[utoipa::path(
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post,
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tag = "Text Generation Inference",
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path = "/generate",
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request_body = GenerateRequest,
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responses(
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(status = 200, description = "Generated Text", body = GenerateResponse),
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(status = 424, description = "Generation Error", body = ErrorResponse,
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example = json ! ({"error": "Request failed during generation"})),
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(status = 429, description = "Model is overloaded", body = ErrorResponse,
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example = json ! ({"error": "Model is overloaded"})),
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(status = 422, description = "Input validation error", body = ErrorResponse,
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example = json ! ({"error": "Input validation error"})),
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(status = 500, description = "Incomplete generation", body = ErrorResponse,
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example = json ! ({"error": "Incomplete generation"})),
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)
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post,
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tag = "Text Generation Inference",
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path = "/generate",
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request_body = GenerateRequest,
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responses(
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(status = 200, description = "Generated Text", body = GenerateResponse),
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(status = 424, description = "Generation Error", body = ErrorResponse,
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example = json ! ({"error": "Request failed during generation"})),
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(status = 429, description = "Model is overloaded", body = ErrorResponse,
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example = json ! ({"error": "Model is overloaded"})),
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(status = 422, description = "Input validation error", body = ErrorResponse,
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example = json ! ({"error": "Input validation error"})),
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(status = 500, description = "Incomplete generation", body = ErrorResponse,
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example = json ! ({"error": "Incomplete generation"})),
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)
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)]
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#[instrument(
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skip(infer),
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@ -253,26 +253,26 @@ async fn generate(
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/// Generate a stream of token using Server-Sent Events
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#[utoipa::path(
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post,
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tag = "Text Generation Inference",
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path = "/generate_stream",
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request_body = GenerateRequest,
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responses(
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(status = 200, description = "Generated Text", body = StreamResponse,
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content_type = "text/event-stream"),
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(status = 424, description = "Generation Error", body = ErrorResponse,
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example = json ! ({"error": "Request failed during generation"}),
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content_type = "text/event-stream"),
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(status = 429, description = "Model is overloaded", body = ErrorResponse,
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example = json ! ({"error": "Model is overloaded"}),
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content_type = "text/event-stream"),
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(status = 422, description = "Input validation error", body = ErrorResponse,
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example = json ! ({"error": "Input validation error"}),
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content_type = "text/event-stream"),
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(status = 500, description = "Incomplete generation", body = ErrorResponse,
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example = json ! ({"error": "Incomplete generation"}),
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content_type = "text/event-stream"),
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)
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post,
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tag = "Text Generation Inference",
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path = "/generate_stream",
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request_body = GenerateRequest,
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responses(
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(status = 200, description = "Generated Text", body = StreamResponse,
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content_type = "text/event-stream"),
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(status = 424, description = "Generation Error", body = ErrorResponse,
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example = json ! ({"error": "Request failed during generation"}),
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content_type = "text/event-stream"),
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(status = 429, description = "Model is overloaded", body = ErrorResponse,
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example = json ! ({"error": "Model is overloaded"}),
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content_type = "text/event-stream"),
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(status = 422, description = "Input validation error", body = ErrorResponse,
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example = json ! ({"error": "Input validation error"}),
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content_type = "text/event-stream"),
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(status = 500, description = "Incomplete generation", body = ErrorResponse,
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example = json ! ({"error": "Incomplete generation"}),
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content_type = "text/event-stream"),
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)
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)]
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#[instrument(
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skip(infer),
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@ -434,10 +434,10 @@ async fn generate_stream(
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/// Prometheus metrics scrape endpoint
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#[utoipa::path(
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get,
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tag = "Text Generation Inference",
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path = "/metrics",
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responses((status = 200, description = "Prometheus Metrics", body = String))
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get,
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tag = "Text Generation Inference",
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path = "/metrics",
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responses((status = 200, description = "Prometheus Metrics", body = String))
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)]
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async fn metrics(prom_handle: Extension<PrometheusHandle>) -> String {
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prom_handle.render()
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@ -463,36 +463,36 @@ pub async fn run(
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// OpenAPI documentation
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#[derive(OpenApi)]
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#[openapi(
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paths(
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generate,
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generate_stream,
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metrics,
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),
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components(
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schemas(
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GenerateRequest,
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GenerateParameters,
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PrefillToken,
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Token,
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GenerateResponse,
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BestOfSequence,
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Details,
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FinishReason,
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StreamResponse,
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StreamDetails,
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ErrorResponse,
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)
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),
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tags(
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(name = "Text Generation Inference", description = "Hugging Face Text Generation Inference API")
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),
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info(
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title = "Text Generation Inference",
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license(
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name = "Apache 2.0",
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url = "https://www.apache.org/licenses/LICENSE-2.0"
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)
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)
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paths(
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generate,
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generate_stream,
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metrics,
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),
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components(
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schemas(
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GenerateRequest,
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GenerateParameters,
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PrefillToken,
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Token,
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GenerateResponse,
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BestOfSequence,
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Details,
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FinishReason,
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StreamResponse,
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StreamDetails,
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ErrorResponse,
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)
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),
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tags(
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(name = "Text Generation Inference", description = "Hugging Face Text Generation Inference API")
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),
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info(
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title = "Text Generation Inference",
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license(
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name = "Apache 2.0",
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url = "https://www.apache.org/licenses/LICENSE-2.0"
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)
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)
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)]
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struct ApiDoc;
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