From 9a23c2c89018b899659df4a7204020f7fa5782d7 Mon Sep 17 00:00:00 2001
From: box-apimgmt <142984025+box-apimgmt@users.noreply.github.com>
Date: Thu, 24 Oct 2024 17:26:23 +0200
Subject: [PATCH] feat: add AWS params (#478)

---
 openapi.json | 41 ++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 40 insertions(+), 1 deletion(-)

diff --git a/openapi.json b/openapi.json
index 9eec65b3..b4a7b65a 100644
--- a/openapi.json
+++ b/openapi.json
@@ -14,7 +14,7 @@
       "url": "http://www.apache.org/licenses/LICENSE-2.0"
     },
     "version": "2.0.0",
-    "x-box-commit-hash": "e83bf201d8"
+    "x-box-commit-hash": "30e62e9e7d"
   },
   "servers": [
     {
@@ -24505,6 +24505,9 @@
               },
               {
                 "$ref": "#/components/schemas/AiLlmEndpointParamsGoogle"
+              },
+              {
+                "$ref": "#/components/schemas/AiLlmEndpointParamsAWS"
               }
             ]
           }
@@ -24989,6 +24992,42 @@
           "base"
         ]
       },
+      "AiLlmEndpointParamsAWS": {
+        "description": "AI LLM endpoint params AWS object",
+        "type": "object",
+        "properties": {
+          "type": {
+            "description": "The type of the AI LLM endpoint params object for AWS.\nThis parameter is **required**.",
+            "type": "string",
+            "example": "aws_params",
+            "enum": [
+              "aws_params"
+            ],
+            "nullable": false
+          },
+          "temperature": {
+            "description": "What sampling temperature to use, between 0 and 1. Higher values like 0.8 will make the output more random, \nwhile lower values like 0.2 will make it more focused and deterministic. \nWe generally recommend altering this or `top_p` but not both.",
+            "type": "number",
+            "example": 0.5,
+            "maximum": 1,
+            "minimum": 0,
+            "nullable": true
+          },
+          "top_p": {
+            "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results \nof the tokens with `top_p` probability mass. So 0.1 means only the tokens comprising the top 10% probability \nmass are considered. We generally recommend altering this or temperature but not both.",
+            "type": "number",
+            "example": 0.5,
+            "maximum": 1,
+            "minimum": 0,
+            "nullable": true
+          }
+        },
+        "required": [
+          "type"
+        ],
+        "title": "AI LLM endpoint params AWS",
+        "x-box-resource-id": "ai_llm_endpoint_params_aws"
+      },
       "AiLlmEndpointParamsGoogle": {
         "description": "AI LLM endpoint params Google object",
         "type": "object",