[[infer-service-watsonx-ai]]
=== Watsonx {infer} integration

.New API reference
[sidebar]
--
For the most up-to-date API details, refer to {api-es}/group/endpoint-inference[{infer-cap} APIs].
--

Creates an {infer} endpoint to perform an {infer} task with the `watsonxai` service.

You need an https://cloud.ibm.com/docs/databases-for-elasticsearch?topic=databases-for-elasticsearch-provisioning&interface=api[IBM Cloud® Databases for Elasticsearch deployment] to use the `watsonxai` {infer} service.
You can provision one through the https://cloud.ibm.com/databases/databases-for-elasticsearch/create[IBM catalog], the https://cloud.ibm.com/docs/databases-cli-plugin?topic=databases-cli-plugin-cdb-reference[Cloud Databases CLI plug-in], the https://cloud.ibm.com/apidocs/cloud-databases-api[Cloud Databases API], or https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/resources/database[Terraform].


[discrete]
[[infer-service-watsonx-ai-api-request]]
==== {api-request-title}

`PUT /_inference/<task_type>/<inference_id>`

[discrete]
[[infer-service-watsonx-ai-api-path-params]]
==== {api-path-parms-title}

`<inference_id>`::
(Required, string)
include::inference-shared.asciidoc[tag=inference-id]

`<task_type>`::
(Required, string)
include::inference-shared.asciidoc[tag=task-type]
+
--
Available task types:

* `text_embedding`,
* `rerank`.
--

[discrete]
[[infer-service-watsonx-ai-api-request-body]]
==== {api-request-body-title}

`service`::
(Required, string)
The type of service supported for the specified task type. In this case, 
`watsonxai`.

`service_settings`::
(Required, object)
include::inference-shared.asciidoc[tag=service-settings]
+
--
These settings are specific to the `watsonxai` service.
--

`api_key`:::
(Required, string)
A valid API key of your Watsonx account.
You can find your Watsonx API keys or you can create a new one https://cloud.ibm.com/iam/apikeys[on the API keys page].
+
--
include::inference-shared.asciidoc[tag=api-key-admonition]
--

`api_version`:::
(Required, string)
Version parameter that takes a version date in the format of `YYYY-MM-DD`.
For the active version data parameters, refer to the https://cloud.ibm.com/apidocs/watsonx-ai#active-version-dates[documentation].

`model_id`:::
(Required, string)
The name of the model to use for the {infer} task.
Refer to the IBM Embedding Models section in the https://www.ibm.com/products/watsonx-ai/foundation-models[Watsonx documentation] for the list of available text embedding models.

`url`:::
(Required, string)
The URL endpoint to use for the requests.

`project_id`:::
(Required, string)
The name of the project to use for the {infer} task.

`rate_limit`:::
(Optional, object)
By default, the `watsonxai` service sets the number of requests allowed per minute to `120`.
This helps to minimize the number of rate limit errors returned from Watsonx.
To modify this, set the `requests_per_minute` setting of this object in your service settings:
+
--
include::inference-shared.asciidoc[tag=request-per-minute-example]
--

`task_settings`::
(Optional, object)
include::inference-shared.asciidoc[tag=task-settings]
+
.`task_settings` for the `rerank` task type
[%collapsible%closed]
=====
`truncate_input_tokens`:::
(Optional, integer)
Specifies the maximum number of tokens per input document before truncation.

`return_documents`:::
(Optional, boolean)
Specify whether to return doc text within the results.

`top_n`:::
(Optional, integer)
The number of most relevant documents to return. Defaults to the number of input documents.
=====


[discrete]
[[inference-example-watsonx-ai]]
==== Watsonx AI service example

The following example shows how to create an {infer} endpoint called `watsonx-embeddings` to perform a `text_embedding` task type.

[source,console]
------------------------------------------------------------
PUT _inference/text_embedding/watsonx-embeddings
{
    "service": "watsonxai",
    "service_settings": {
        "api_key": "<api_key>", <1>
        "url": "<url>", <2>
        "model_id": "ibm/slate-30m-english-rtrvr",
        "project_id": "<project_id>", <3>
        "api_version": "2024-03-14" <4>
    }
}

------------------------------------------------------------
// TEST[skip:TBD]
<1> A valid Watsonx API key.
You can find on the https://cloud.ibm.com/iam/apikeys[API keys page of your account].
<2> The {infer} endpoint URL you created on Watsonx.
<3> The ID of your IBM Cloud project.
<4> A valid API version parameter. You can find the active version data parameters https://cloud.ibm.com/apidocs/watsonx-ai#active-version-dates[here].

The following example shows how to create an {infer} endpoint called `watsonx-rerank` to perform a `rerank` task type.

[source,console]
------------------------------------------------------------
PUT _inference/rerank/watsonx-rerank
{
    "service": "watsonxai",
    "service_settings": {
        "api_key": "<api_key>", <1>
        "url": "<url>", <2> 
        "model_id": "cross-encoder/ms-marco-minilm-l-12-v2",
        "project_id": "<project_id>", <3>
        "api_version": "2024-05-02" <4>
    },
    "task_settings": {
        "truncate_input_tokens": 50, <5>
        "return_documents": true, <6>
        "top_n": 3 <7>
    }
}
------------------------------------------------------------
// TEST[skip:TBD]
<1> A valid Watsonx API key.
You can find on the https://cloud.ibm.com/iam/apikeys[API keys page of your account].
<2> The {infer} endpoint URL you created on Watsonx.
<3> The ID of your IBM Cloud project.
<4> A valid API version parameter. You can find the active version data parameters https://cloud.ibm.com/apidocs/watsonx-ai#active-version-dates[here].
<5> The maximum number of tokens per document before truncation. 
<6> Whether to return the document text in the results. 
<7> The number of top relevant documents to return.