Add AWS Bedrock LLM Provider Documentation

docs.json

@@ -73,6 +73,7 @@
                       "group": "Providers",
                       "pages": [
                         "openhands/usage/llms/openhands-llms",
+                        "openhands/usage/llms/aws-bedrock",
                         "openhands/usage/llms/azure-llms",
                         "openhands/usage/llms/google-llms",
                         "openhands/usage/llms/groq",

openapi/agent-sdk.json

@@ -1489,14 +1489,14 @@
         }
       }
     },
-    "/api/bash/execute_bash_command": {
+    "/api/bash/start_bash_command": {
       "post": {
         "tags": [
           "Bash"
         ],
         "summary": "Start Bash Command",
-        "description": "Execute a bash command",
-        "operationId": "start_bash_command_api_bash_execute_bash_command_post",
+        "description": "Execute a bash command in the background",
+        "operationId": "start_bash_command_api_bash_start_bash_command_post",
         "requestBody": {
           "content": {
             "application/json": {
@@ -1531,6 +1531,48 @@
         }
       }
     },
+    "/api/bash/execute_bash_command": {
+      "post": {
+        "tags": [
+          "Bash"
+        ],
+        "summary": "Execute Bash Command",
+        "description": "Execute a bash command and wait for a result",
+        "operationId": "execute_bash_command_api_bash_execute_bash_command_post",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/ExecuteBashRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/BashOutput"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/HTTPValidationError"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
     "/api/bash/bash_events": {
       "delete": {
         "tags": [

openhands/usage/llms/aws-bedrock.mdx

@@ -0,0 +1,25 @@
+---
+title: AWS Bedrock
+description: OpenHands can work with AWS Bedrock models using an OpenAI-compatible API endpoint.
+---
+
+## Configuration
+
+AWS Bedrock provides OpenAI-compatible API endpoints for their models. You can find their documentation on using the OpenAI Chat Completions API [here](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-chat-completions.html).
+
+To configure OpenHands to use AWS Bedrock:
+
+1. In the OpenHands UI, navigate to Settings under the `LLM` tab
+2. Enable `Advanced` options
+3. Set the following:
+   - `Custom Model` to `openai/{model_name}` (e.g. `openai/anthropic.claude-3-5-sonnet-20240620-v1:0`)
+   - `Base URL` to `https://bedrock-runtime.{region}.amazonaws.com/openai/v1` (e.g. `https://bedrock-runtime.us-west-2.amazonaws.com/openai/v1`)
+   - `API Key` to your AWS Bedrock API key
+
+<Note>
+The `openai/` prefix in the Custom Model field indicates that OpenHands should use an OpenAI-compatible API format. It does not mean you are directly calling the OpenAI provider.
+</Note>
+
+<Note>
+Replace `{region}` with your desired AWS region (e.g., `us-west-2`, `us-east-1`). Ensure the region you specify matches where your Bedrock models are available.
+</Note>