remove add trusted endpoint

Signed-off-by: Mingshi Liu <[email protected]>

Author: mingshl

docs/remote_inference_blueprints/standard_blueprints/README.md

@@ -20,7 +20,6 @@ These blueprints use the ML inference processor to handle input/output mapping,
 - Cohere
   - text embedding: [embed-english-v3.0 & embed-english-v2.0](https://github.com/opensearch-project/ml-commons/blob/main/docs/remote_inference_blueprints/standard_blueprints/cohere_connector_text_embedding_standard_blueprint.md)
   - image embedding: [embed-multimodal-v3.0 & embed-multimodal-v2.0](https://github.com/opensearch-project/ml-commons/blob/main/docs/remote_inference_blueprints/standard_blueprints/cohere_connector_image_embedding_blueprint.md)
-- 
 - OpenAI:
   - [text-embedding-ada-002](https://github.com/opensearch-project/ml-commons/blob/main/docs/remote_inference_blueprints/standard_blueprints/openai_connector_embedding_standard_blueprint.md)
 

docs/remote_inference_blueprints/standard_blueprints/bedrock_connector_cohere_cohere.embed-english-v3_standard_blueprint.md

@@ -18,6 +18,22 @@ PUT /_cluster/settings
 }
 ```
 
+Sample response:
+```json
+{
+  "acknowledged": true,
+  "persistent": {
+    "plugins": {
+      "ml_commons": {
+        "trusted_connector_endpoints_regex": [
+          "^https://bedrock-runtime\\..*[a-z0-9-]\\.amazonaws\\.com/.*$"
+        ]
+      }
+    }
+  },
+  "transient": {}
+}
+```
 ## 2. Create connector for Amazon Bedrock:
 
 If you are using self-managed Opensearch, you should supply AWS credentials:
@@ -144,7 +160,7 @@ Sample response:
 POST /_plugins/_ml/models/lyjxwZABNrAVdFa9zrcZ/_predict
 {
   "parameters": {
-    "texts" : ["Hello world", "This is a test"]
+    "texts" : ["上海", "This is a test"]
   }
 }
 ```

docs/remote_inference_blueprints/standard_blueprints/bedrock_connector_cohere_cohere.embed-multilingual-v3_standard_blueprint.md

@@ -18,6 +18,22 @@ PUT /_cluster/settings
 }
 ```
 
+Sample response:
+```json
+{
+  "acknowledged": true,
+  "persistent": {
+    "plugins": {
+      "ml_commons": {
+        "trusted_connector_endpoints_regex": [
+          "^https://bedrock-runtime\\..*[a-z0-9-]\\.amazonaws\\.com/.*$"
+        ]
+      }
+    }
+  },
+  "transient": {}
+}
+```
 
 ## 2. Create connector for Amazon Bedrock:
 

docs/remote_inference_blueprints/standard_blueprints/bedrock_connector_titan_embedding_standard_blueprint.md

@@ -126,8 +126,7 @@ Sample response:
 
 Follow Titan text embedding model v1, just change "model" to `amazon.titan-embed-text-v2:0` and configure extra parameters and request body as:
 
-
-```
+```json
 POST /_plugins/_ml/connectors/_create
 {
   "name": "Amazon Bedrock Connector: embedding",
@@ -154,9 +153,10 @@ POST /_plugins/_ml/connectors/_create
       "url": "https://bedrock-runtime.${parameters.region}.amazonaws.com/model/${parameters.model}/invoke",
       "headers": {
         "content-type": "application/json",
-        "x-amz-content-sha256": "required"   "request_body": "{ \"inputText\": \"${parameters.inputText}\", \"dimensions\": ${parameters.dimensions}, \"normalize\": ${parameters.normalize}, \"embeddingTypes\": ${parameters.embeddingTypes} }"
-  
+        "x-amz-content-sha256": "required"
       },
+        "request_body": "{ \"inputText\": \"${parameters.inputText}\", \"dimensions\": ${parameters.dimensions}, \"normalize\": ${parameters.normalize}, \"embeddingTypes\": ${parameters.embeddingTypes} }"
+      }
      }
   ]
 }

docs/remote_inference_blueprints/standard_blueprints/cohere_connector_image_embedding_standard_blueprint.md

@@ -11,6 +11,8 @@ See [Cohere's /embed API docs](https://docs.cohere.com/reference/embed) for more
 
 ## 1. Add connector endpoint to trusted URLs:
 
+Note: no need to do this after 2.11.0
+
 ```json
 PUT /_cluster/settings
 {

docs/remote_inference_blueprints/standard_blueprints/cohere_connector_text_embedding_standard_blueprint.md

@@ -11,6 +11,8 @@ See [Cohere's /embed API docs](https://docs.cohere.com/reference/embed) for more
 
 ## 1. Add connector endpoint to trusted URLs:
 
+Note: no need to do this after 2.11.0
+
 ```json
 PUT /_cluster/settings
 {

docs/remote_inference_blueprints/standard_blueprints/openai_connector_embedding_standard_blueprint.md

@@ -6,6 +6,8 @@ Note that if using a model that requires pre and post processing functions, you
 
 ## 1. Add connector endpoint to trusted URLs:
 
+Note: no need to do this after 2.11.0
+
 ```json
 PUT /_cluster/settings
 {
@@ -17,6 +19,23 @@ PUT /_cluster/settings
 }
 ```
 
+Sample response:
+```json
+{
+    "acknowledged": true,
+    "persistent": {
+        "plugins": {
+            "ml_commons": {
+                "trusted_connector_endpoints_regex": [
+                    "^https://api\\.openai\\.com/.*$"
+                ]
+            }
+        }
+    },
+    "transient": {}
+}
+```
+
 ## 2. Create connector for OpenAI embedding model:
 
 Refer to OpenAI [official doc](https://platform.openai.com/docs/guides/embeddings).