putcustom

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Published: Jul 31, 2025 License: Apache-2.0 Imports: 14 Imported by: 0

Documentation

Overview

Create a custom inference endpoint.

The custom service gives more control over how to interact with external inference services that aren't explicitly supported through dedicated integrations. The custom service gives you the ability to define the headers, url, query parameters, request body, and secrets. The custom service supports the template replacement functionality, which enables you to define a template that can be replaced with the value associated with that key. Templates are portions of a string that start with `${` and end with `}`. The parameters `secret_parameters` and `task_settings` are checked for keys for template replacement. Template replacement is supported in the `request`, `headers`, `url`, and `query_parameters`. If the definition (key) is not found for a template, an error message is returned. In case of an endpoint definition like the following: ``` PUT _inference/text_embedding/test-text-embedding

{
  "service": "custom",
  "service_settings": {
     "secret_parameters": {
          "api_key": "<some api key>"
     },
     "url": "...endpoints.huggingface.cloud/v1/embeddings",
     "headers": {
         "Authorization": "Bearer ${api_key}",
         "Content-Type": "application/json"
     },
     "request": "{\"input\": ${input}}",
     "response": {
         "json_parser": {
             "text_embeddings":"$.data[*].embedding[*]"
         }
     }
  }
}

``` To replace `${api_key}` the `secret_parameters` and `task_settings` are checked for a key named `api_key`.

> info > Templates should not be surrounded by quotes.

Pre-defined templates: * `${input}` refers to the array of input strings that comes from the `input` field of the subsequent inference requests. * `${input_type}` refers to the input type translation values. * `${query}` refers to the query field used specifically for reranking tasks. * `${top_n}` refers to the `top_n` field available when performing rerank requests. * `${return_documents}` refers to the `return_documents` field available when performing rerank requests.

Index

Constants

This section is empty.

Variables

View Source
var ErrBuildPath = errors.New("cannot build path, check for missing path parameters")

ErrBuildPath is returned in case of missing parameters within the build of the request.

Functions

This section is empty.

Types

type NewPutCustom

type NewPutCustom func(tasktype, custominferenceid string) *PutCustom

NewPutCustom type alias for index.

func NewPutCustomFunc

func NewPutCustomFunc(tp elastictransport.Interface) NewPutCustom

NewPutCustomFunc returns a new instance of PutCustom with the provided transport. Used in the index of the library this allows to retrieve every apis in once place.

type PutCustom

type PutCustom struct {
	// contains filtered or unexported fields
}

func New

Create a custom inference endpoint.

The custom service gives more control over how to interact with external inference services that aren't explicitly supported through dedicated integrations. The custom service gives you the ability to define the headers, url, query parameters, request body, and secrets. The custom service supports the template replacement functionality, which enables you to define a template that can be replaced with the value associated with that key. Templates are portions of a string that start with `${` and end with `}`. The parameters `secret_parameters` and `task_settings` are checked for keys for template replacement. Template replacement is supported in the `request`, `headers`, `url`, and `query_parameters`. If the definition (key) is not found for a template, an error message is returned. In case of an endpoint definition like the following: ``` PUT _inference/text_embedding/test-text-embedding

{
  "service": "custom",
  "service_settings": {
     "secret_parameters": {
          "api_key": "<some api key>"
     },
     "url": "...endpoints.huggingface.cloud/v1/embeddings",
     "headers": {
         "Authorization": "Bearer ${api_key}",
         "Content-Type": "application/json"
     },
     "request": "{\"input\": ${input}}",
     "response": {
         "json_parser": {
             "text_embeddings":"$.data[*].embedding[*]"
         }
     }
  }
}

``` To replace `${api_key}` the `secret_parameters` and `task_settings` are checked for a key named `api_key`.

> info > Templates should not be surrounded by quotes.

Pre-defined templates: * `${input}` refers to the array of input strings that comes from the `input` field of the subsequent inference requests. * `${input_type}` refers to the input type translation values. * `${query}` refers to the query field used specifically for reranking tasks. * `${top_n}` refers to the `top_n` field available when performing rerank requests. * `${return_documents}` refers to the `return_documents` field available when performing rerank requests.

https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-put-custom

func (*PutCustom) ChunkingSettings

func (r *PutCustom) ChunkingSettings(chunkingsettings *types.InferenceChunkingSettings) *PutCustom

ChunkingSettings The chunking configuration object. API name: chunking_settings

func (PutCustom) Do

func (r PutCustom) Do(providedCtx context.Context) (*Response, error)

Do runs the request through the transport, handle the response and returns a putcustom.Response

func (*PutCustom) ErrorTrace

func (r *PutCustom) ErrorTrace(errortrace bool) *PutCustom

ErrorTrace When set to `true` Elasticsearch will include the full stack trace of errors when they occur. API name: error_trace

func (*PutCustom) FilterPath

func (r *PutCustom) FilterPath(filterpaths ...string) *PutCustom

FilterPath Comma-separated list of filters in dot notation which reduce the response returned by Elasticsearch. API name: filter_path

func (*PutCustom) Header

func (r *PutCustom) Header(key, value string) *PutCustom

Header set a key, value pair in the PutCustom headers map.

func (*PutCustom) HttpRequest

func (r *PutCustom) HttpRequest(ctx context.Context) (*http.Request, error)

HttpRequest returns the http.Request object built from the given parameters.

func (*PutCustom) Human

func (r *PutCustom) Human(human bool) *PutCustom

Human When set to `true` will return statistics in a format suitable for humans. For example `"exists_time": "1h"` for humans and `"eixsts_time_in_millis": 3600000` for computers. When disabled the human readable values will be omitted. This makes sense for responses being consumed only by machines. API name: human

func (PutCustom) Perform

func (r PutCustom) Perform(providedCtx context.Context) (*http.Response, error)

Perform runs the http.Request through the provided transport and returns an http.Response.

func (*PutCustom) Pretty

func (r *PutCustom) Pretty(pretty bool) *PutCustom

Pretty If set to `true` the returned JSON will be "pretty-formatted". Only use this option for debugging only. API name: pretty

func (*PutCustom) Raw

func (r *PutCustom) Raw(raw io.Reader) *PutCustom

Raw takes a json payload as input which is then passed to the http.Request If specified Raw takes precedence on Request method.

func (*PutCustom) Request

func (r *PutCustom) Request(req *Request) *PutCustom

Request allows to set the request property with the appropriate payload.

func (*PutCustom) Service

Service The type of service supported for the specified task type. In this case, `custom`. API name: service

func (*PutCustom) ServiceSettings

func (r *PutCustom) ServiceSettings(servicesettings *types.CustomServiceSettings) *PutCustom

ServiceSettings Settings used to install the inference model. These settings are specific to the `custom` service. API name: service_settings

func (*PutCustom) TaskSettings

func (r *PutCustom) TaskSettings(tasksettings *types.CustomTaskSettings) *PutCustom

TaskSettings Settings to configure the inference task. These settings are specific to the task type you specified. API name: task_settings

type Request

type Request struct {

	// ChunkingSettings The chunking configuration object.
	ChunkingSettings *types.InferenceChunkingSettings `json:"chunking_settings,omitempty"`
	// Service The type of service supported for the specified task type. In this case,
	// `custom`.
	Service customservicetype.CustomServiceType `json:"service"`
	// ServiceSettings Settings used to install the inference model.
	// These settings are specific to the `custom` service.
	ServiceSettings types.CustomServiceSettings `json:"service_settings"`
	// TaskSettings Settings to configure the inference task.
	// These settings are specific to the task type you specified.
	TaskSettings *types.CustomTaskSettings `json:"task_settings,omitempty"`
}

Request holds the request body struct for the package putcustom

https://github.com/elastic/elasticsearch-specification/blob/470b4b9aaaa25cae633ec690e54b725c6fc939c7/specification/inference/put_custom/PutCustomRequest.ts#L30-L117

func NewRequest

func NewRequest() *Request

NewRequest returns a Request

func (*Request) FromJSON

func (r *Request) FromJSON(data string) (*Request, error)

FromJSON allows to load an arbitrary json into the request structure

type Response

type Response struct {

	// ChunkingSettings Chunking configuration object
	ChunkingSettings *types.InferenceChunkingSettings `json:"chunking_settings,omitempty"`
	// InferenceId The inference Id
	InferenceId string `json:"inference_id"`
	// Service The service type
	Service string `json:"service"`
	// ServiceSettings Settings specific to the service
	ServiceSettings json.RawMessage `json:"service_settings"`
	// TaskSettings Task settings specific to the service and task type
	TaskSettings json.RawMessage `json:"task_settings,omitempty"`
	// TaskType The task type
	TaskType tasktypecustom.TaskTypeCustom `json:"task_type"`
}

Response holds the response body struct for the package putcustom

https://github.com/elastic/elasticsearch-specification/blob/470b4b9aaaa25cae633ec690e54b725c6fc939c7/specification/inference/put_custom/PutCustomResponse.ts#L22-L25

func NewResponse

func NewResponse() *Response

NewResponse returns a Response

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