[ML] Inference API Anthropic docs

docs/reference/inference/service-anthropic.asciidoc

@@ -0,0 +1,124 @@
+[[infer-service-anthropic]]
+=== Anthropic {infer} service
+
+Creates an {infer} endpoint to perform an {infer} task with the `anthropic` service.
+
+
+[discrete]
+[[infer-service-anthropic-api-request]]
+==== {api-request-title}
+
+`PUT /_inference/<task_type>/<inference_id>`
+
+[discrete]
+[[infer-service-anthropic-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:
+
+* `completion`
+--
+
+[discrete]
+[[infer-service-anthropic-api-request-body]]
+==== {api-request-body-title}
+
+`service`::
+(Required, string)
+The type of service supported for the specified task type. In this case,
+`anthropic`.
+
+`service_settings`::
+(Required, object)
+include::inference-shared.asciidoc[tag=service-settings]
++
+--
+These settings are specific to the `anthropic` service.
+--
+
+`api_key`:::
+(Required, string)
+A valid API key for the Anthropic API.
+
+`model_id`:::
+(Required, string)
+The name of the model to use for the {infer} task.
+You can find the supported models at https://docs.anthropic.com/en/docs/about-claude/models#model-names[Anthropic models].
+
+`rate_limit`:::
+(Optional, object)
+By default, the `anthropic` service sets the number of requests allowed per minute to `50`.
+This helps to minimize the number of rate limit errors returned from Anthropic.
+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`::
+(Required, object)
+include::inference-shared.asciidoc[tag=task-settings]
++
+.`task_settings` for the `completion` task type
+[%collapsible%closed]
+=====
+`max_tokens`:::
+(Required, integer)
+The maximum number of tokens to generate before stopping.
+
+`temperature`:::
+(Optional, float)
+The amount of randomness injected into the response.
++
+For more details about the supported range, see the https://docs.anthropic.com/en/api/messages[Anthropic messages API].
+
+`top_k`:::
+(Optional, integer)
+Specifies to only sample from the top K options for each subsequent token.
++
+Recommended for advanced use cases only. You usually only need to use `temperature`.
++
+For more details, see the https://docs.anthropic.com/en/api/messages[Anthropic messages API].
+
+`top_p`:::
+(Optional, float)
+Specifies to use Anthropic's nucleus sampling.
++
+In nucleus sampling, Anthropic computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by `top_p`. You should either alter `temperature` or `top_p`, but not both.
++
+Recommended for advanced use cases only. You usually only need to use `temperature`.
++
+For more details, see the https://docs.anthropic.com/en/api/messages[Anthropic messages API].
+=====
+
+[discrete]
+[[inference-example-anthropic]]
+==== Anthropic service example
+
+The following example shows how to create an {infer} endpoint called
+`anthropic_completion` to perform a `completion` task type.
+
+[source,console]
+------------------------------------------------------------
+PUT _inference/completion/anthropic_completion
+{
+    "service": "anthropic",
+    "service_settings": {
+        "api_key": "<api_key>",
+        "model_id": "<model_id>"
+    },
+    "task_settings": {
+        "max_tokens": 1024
+    }
+}
+------------------------------------------------------------
+// TEST[skip:TBD]