Create an OpenAI inference endpoint
- PUT /_inference/{task_type}/{openai_inference_id}
Create an inference endpoint to perform an inference task with the openai service or openai compatible APIs.
- Cluster privileges:
manage_inference
Path Parameters
-
task_typeOpenAITaskTyperequired -
The type of the inference task that the model will perform. NOTE: The
chat_completiontask type only supports streaming and only through the _stream API. -
Values:
chat_completioncompletiontext_embedding -
openai_inference_idstring Idrequired -
The unique identifier of the inference endpoint.
Query Parameters
-
timeoutstring Duration · default: 30s Specifies the amount of time to wait for the inference endpoint to be created.
Request
-
chunking_settingsInferenceChunkingSettings -
The chunking configuration object.
- Reference
-
max_chunk_sizenumber · default: 250 -
The maximum size of a chunk in words. This value cannot be higher than
300or lower than20(forsentencestrategy) or10(forwordstrategy). -
overlapnumber · default: 100 -
The number of overlapping words for chunks. It is applicable only to a
wordchunking strategy. This value cannot be higher than half themax_chunk_sizevalue. -
sentence_overlapnumber · default: 1 -
The number of overlapping sentences for chunks. It is applicable only for a
sentencechunking strategy. It can be either1or0. -
strategystring · default: sentence -
The chunking strategy:
sentenceorword. -
serviceOpenAIServiceTyperequired -
The type of service supported for the specified task type. In this case,
openai. -
Values:
openai -
service_settingsOpenAIServiceSettingsrequired -
Settings used to install the inference model. These settings are specific to the
openaiservice. -
api_keystringrequired -
A valid API key of your OpenAI account. You can find your OpenAI API keys in your OpenAI account under the API keys section.
IMPORTANT: You need to provide the API key only once, during the inference model creation. The get inference endpoint API does not retrieve your API key.
- External docs
-
dimensionsnumber -
The number of dimensions the resulting output embeddings should have. It is supported only in
text-embedding-3and later models. If it is not set, the OpenAI defined default for the model is used. -
model_idstringrequired -
The name of the model to use for the inference task. Refer to the OpenAI documentation for the list of available text embedding models.
- External docs
-
organization_idstring -
The unique identifier for your organization. You can find the Organization ID in your OpenAI account under Settings > Organizations.
-
rate_limitRateLimitSetting -
This setting helps to minimize the number of rate limit errors returned from OpenAI. The
openaiservice sets a default number of requests allowed per minute depending on the task type. Fortext_embedding, it is set to3000. Forcompletion, it is set to500. -
requests_per_minutenumber -
The number of requests allowed per minute.
-
similarityOpenAISimilarityType -
For a
text_embeddingtask, the similarity measure. One of cosine, dot_product, l2_norm. Defaults todot_product. -
Values:
cosinedot_productl2_norm -
urlstring · default: https://api.openai.com/v1/embeddings. -
The URL endpoint to use for the requests. It can be changed for testing purposes.
-
task_settingsOpenAITaskSettings -
Settings to configure the inference task. These settings are specific to the task type you specified.
-
userstring -
For a
completionortext_embeddingtask, specify the user issuing the request. This information can be used for abuse detection.
Response
-
chunking_settingsInferenceChunkingSettings -
Chunking configuration object
-
max_chunk_sizenumber · default: 250 -
The maximum size of a chunk in words. This value cannot be higher than
300or lower than20(forsentencestrategy) or10(forwordstrategy). -
overlapnumber · default: 100 -
The number of overlapping words for chunks. It is applicable only to a
wordchunking strategy. This value cannot be higher than half themax_chunk_sizevalue. -
sentence_overlapnumber · default: 1 -
The number of overlapping sentences for chunks. It is applicable only for a
sentencechunking strategy. It can be either1or0. -
strategystring · default: sentence -
The chunking strategy:
sentenceorword. -
servicestringrequired -
The service type
-
service_settingsServiceSettingsrequired -
Settings specific to the service
-
task_settingsTaskSettings -
Task settings specific to the service and task type
-
inference_idstringrequired -
The inference Id