AG-UI support in Agent Framework #4347

jiapingzeng · 2025-10-24T23:56:53Z

Description

Add AG-UI support in Agent Framework

Related Issues

Resolves #4409

Check List

New functionality includes testing.
New functionality has been documented.
API changes companion pull request created.
Commits are signed per the DCO using --signoff.
Public documentation issue/PR created.

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
For more information on following Developer Certificate of Origin and signing off your commits, please check here.

Sample setup:

Enable streaming:

POST /_cluster/settings
{
    "persistent": {
        "plugins.ml_commons.stream_enabled": true
    }
}

Model:

{
    "name": "Claude 3.7",
    "function_name": "remote",
    "description": "Bedrock Claude model",
    "connector": {
        "name": "Bedrock Converse Connector",
        "description": "Bedrock Converse Connector",
        "version": 1,
        "protocol": "aws_sigv4",
        "parameters": {
            "region": "us-east-1",
            "model": "us.anthropic.claude-3-7-sonnet-20250219-v1:0",
            "service_name": "bedrock"
        },
        "credential": {
            "access_key": "{{aws-access-key-id}}",
            "secret_key": "{{aws-secret-access-key}}",
            "session_token": "{{aws-session-token}}"
        },
        "actions": [
            {
                "action_type": "predict",
                "method": "POST",
                "url": "https://bedrock-runtime.${parameters.region}.amazonaws.com/model/${parameters.model}/converse-stream",
                "request_body": "{\"messages\": [${parameters._chat_history:-}{\"role\":\"user\",\"content\":[{\"text\":\"${parameters.prompt}\"}]}${parameters._interactions:-}]${parameters.tool_configs:-}}"
            }
        ]
    }
}

Agent:

POST /_plugins/_ml/agents/_register
{
    "name": "AG-UI chat agent",
    "type": "AG_UI",
    "description": "this is a test agent",
    "llm": {
        "model_id": "{{model_id}}",
        "parameters": {
            "max_iteration": 50,
            "system_prompt": "You are a helpful assistant. Use the available tools to help users. When you need to perform an action, use the appropriate tool by calling it with the correct parameters.",
            "prompt": "Context:${parameters.context}\nQuestion:${parameters.question}"
        }
    },
    "memory": {
        "type": "conversation_index"
    },
    "parameters": {
        "_llm_interface": "bedrock/converse/claude"
    },
    "tools": [
        {
            "type": "ListIndexTool",
            "name": "ListIndexTool"
        }
    ]
}

Sample requests:

Using OSD context and frontend tool: [AI] Add experimental AI Chat and Context Provider plugins for OpenSearch Dashboards OpenSearch-Dashboards#10600
request:

POST /_plugins/_ml/agents/{{agent_id}}/_execute/stream
{
    "threadId": "thread-1760484425669-pj44w6ive",
    "runId": "run-1760484493143-gu67vx1jl",
    "messages": [
        {
            "id": "msg-1760484430561-epujp4bi6",
            "role": "user",
            "content": "execute ppl query 'test'"
        }
    ],
    "tools": [
        {
            "name": "execute_ppl_query",
            "description": "Update the query bar with a PPL query and optionally execute it",
            "parameters": {
                "type": "object",
                "properties": {
                    "query": {
                        "type": "string",
                        "description": "The PPL query to set in the query bar"
                    },
                    "autoExecute": {
                        "type": "boolean",
                        "description": "Whether to automatically execute the query (default: true)"
                    },
                    "description": {
                        "type": "string",
                        "description": "Optional description of what the query does"
                    }
                },
                "required": [
                    "query"
                ]
            }
        }
    ],
    "context": [
        {
            "description": "Explore application page context",
            "value": "{\"appId\":\"explore\",\"timeRange\":{\"from\":\"now-15m\",\"to\":\"now\"},\"query\":{\"query\":\"\",\"language\":\"PPL\"}}"
        }
    ],
    "state": {},
    "forwardedProps": {}
}

response:

data: {"type":"RUN_STARTED","timestamp":1761437522976,"threadId":"jxnbHZoBSmgeTrPdltR1","runId":"kBnbHZoBSmgeTrPdltTP"}

data: {"type":"TEXT_MESSAGE_START","timestamp":1761437522976,"messageId":"msg_1761437522975","role":"assistant"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437522976,"messageId":"msg_1761437522975","delta":"I"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437522977,"messageId":"msg_1761437522975","delta":"'ll"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437522977,"messageId":"msg_1761437522975","delta":" help"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437522978,"messageId":"msg_1761437522975","delta":" you execute"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437522978,"messageId":"msg_1761437522975","delta":" the"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437522979,"messageId":"msg_1761437522975","delta":" PPL query "}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437522979,"messageId":"msg_1761437522975","delta":"'test'."}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437523114,"messageId":"msg_1761437522975","delta":" Let"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437523116,"messageId":"msg_1761437522975","delta":" me"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437523117,"messageId":"msg_1761437522975","delta":" "}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437523157,"messageId":"msg_1761437522975","delta":"do that for you right"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437523202,"messageId":"msg_1761437522975","delta":" away"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437523234,"messageId":"msg_1761437522975","delta":"."}

data: {"type":"TEXT_MESSAGE_END","timestamp":1761437524255,"messageId":"msg_1761437522975"}

data: {"type":"TOOL_CALL_START","timestamp":1761437524255,"toolCallId":"tooluse_cDQH5-zFR8SEa9eljI5Xpg","toolCallName":"execute_ppl_query"}

data: {"type":"TOOL_CALL_ARGS","timestamp":1761437524255,"toolCallId":"tooluse_cDQH5-zFR8SEa9eljI5Xpg","delta":"{\"query\":\"test\",\"autoExecute\":true}"}

data: {"type":"TOOL_CALL_END","timestamp":1761437524255,"toolCallId":"tooluse_cDQH5-zFR8SEa9eljI5Xpg"}

data: {"type":"RUN_FINISHED","timestamp":1761437524256,"threadId":"jxnbHZoBSmgeTrPdltR1","runId":"kBnbHZoBSmgeTrPdltTP"}

Frontend sending tool result back:
request:

POST /_plugins/_ml/agents/{{agent_id}}/_execute/stream
{
    "threadId": "thread-1761299262323-66ekfq52m",
    "runId": "run-1761299273064-qjycuyoo5",
    "messages": [
        {
            "id": "msg-1761299270344-wfxawmjgw",
            "role": "user",
            "content": "execute ppl 'test'"
        },
        {
            "id": "msg_1761299271843",
            "role": "assistant",
            "toolCalls": [
                {
                    "id": "tooluse_gdZkro87QqW01isjNiDEqg",
                    "type": "function",
                    "function": {
                        "name": "execute_ppl_query",
                        "arguments": "{\"query\":\"test\"}"
                    }
                }
            ],
            "content": "I'll help you execute a PPL query with the term 'test'. Let me do that for you."
        },
        {
            "id": "msg-1761299273064-6sg6hlkop",
            "role": "tool",
            "content": "{\"success\":true,\"executed\":true,\"query\":\"test\",\"message\":\"Query updated and executed\"}",
            "toolCallId": "tooluse_gdZkro87QqW01isjNiDEqg"
        }
    ],
    "tools": [
        {
            "name": "execute_ppl_query",
            "description": "Update the query bar with a PPL query and optionally execute it",
            "parameters": {
                "type": "object",
                "properties": {
                    "query": {
                        "type": "string",
                        "description": "The PPL query to set in the query bar"
                    },
                    "autoExecute": {
                        "type": "boolean",
                        "description": "Whether to automatically execute the query (default: true)"
                    },
                    "description": {
                        "type": "string",
                        "description": "Optional description of what the query does"
                    }
                },
                "required": [
                    "query"
                ]
            }
        }
    ],
    "context": [
        {
            "description": "Explore application page context",
            "value": "{\"appId\":\"explore\",\"timeRange\":{\"from\":\"now-15m\",\"to\":\"now\"},\"query\":{\"query\":\"test\",\"language\":\"PPL\"}}"
        }
    ],
    "state": {},
    "forwardedProps": {}
}

response:

data: {"type":"RUN_STARTED","timestamp":1761437671115,"threadId":"kRndHZoBSmgeTrPd2dRj","runId":"khndHZoBSmgeTrPd2dSt"}

data: {"type":"TEXT_MESSAGE_START","timestamp":1761437671116,"messageId":"msg_1761437671115","role":"assistant"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671116,"messageId":"msg_1761437671115","delta":"I"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671173,"messageId":"msg_1761437671115","delta":"'ve"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671189,"messageId":"msg_1761437671115","delta":" executed the PPL"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671320,"messageId":"msg_1761437671115","delta":" query "}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671322,"messageId":"msg_1761437671115","delta":"'test' for"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671323,"messageId":"msg_1761437671115","delta":" you. The"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671406,"messageId":"msg_1761437671115","delta":" query"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671409,"messageId":"msg_1761437671115","delta":" has"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671493,"messageId":"msg_1761437671115","delta":" been successfully"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671494,"messageId":"msg_1761437671115","delta":" submitte"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671527,"messageId":"msg_1761437671115","delta":"d an"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671615,"messageId":"msg_1761437671115","delta":"d execute"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671617,"messageId":"msg_1761437671115","delta":"d. You"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671661,"messageId":"msg_1761437671115","delta":" shoul"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671697,"messageId":"msg_1761437671115","delta":"d now"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671843,"messageId":"msg_1761437671115","delta":" see the results"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671844,"messageId":"msg_1761437671115","delta":" displaye"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671845,"messageId":"msg_1761437671115","delta":"d in the"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437671870,"messageId":"msg_1761437671115","delta":" Explore application interface"}

data: {"type":"TEXT_MESSAGE_CONTENT","timestamp":1761437672102,"messageId":"msg_1761437671115","delta":"."}

data: {"type":"TEXT_MESSAGE_END","timestamp":1761437672159,"messageId":"msg_1761437671115"}

data: {"type":"RUN_FINISHED","timestamp":1761437672159,"threadId":"kRndHZoBSmgeTrPd2dRj","runId":"khndHZoBSmgeTrPd2dSt"}

jiapingzeng · 2025-10-25T00:00:59Z

Still working on clean up and adding UTs but features are ready.

jiapingzeng · 2025-10-25T00:04:49Z

.../main/java/org/opensearch/ml/engine/algorithms/remote/streaming/BedrockStreamingHandler.java

-            ? StaticCredentialsProvider
-                .create(AwsSessionCredentials.create(connector.getAccessKey(), connector.getSecretKey(), connector.getSessionToken()))
-            : StaticCredentialsProvider.create(AwsBasicCredentials.create(connector.getAccessKey(), connector.getSecretKey()));
+        return java.security.AccessController.doPrivileged((java.security.PrivilegedAction<BedrockRuntimeAsyncClient>) () -> {


was getting this error locally:

java.lang.SecurityException: Denied OPEN (read) access to file: /Users/jpz/.aws/credentials, domain: ProtectionDomain (file:/Volumes/workplace/github/ml-commons/plugin/build/testclusters/integTest-0/distro/3.4.0-ARCHIVE/lib/opensearch-3.4.0-SNAPSHOT.jar <no signer certificates>)

Not sure why the Bedrock client was trying to access my .credentials when credentials are already provided via connector, will remove this doPrivileged after testing in cluster to see if I run into the same issue.

Signed-off-by: Jiaping Zeng <[email protected]>

dhrubo-os · 2025-11-09T05:57:12Z

common/src/main/java/org/opensearch/ml/common/agui/TextMessageStartEvent.java

+
+    @Override
+    protected void addEventSpecificFields(XContentBuilder builder, Params params) throws IOException {
+        builder.field("messageId", messageId);


[nit] let's add these as a constant variable.

dhrubo-os · 2025-11-09T05:58:45Z

ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/agent/MLAGUIAgentRunner.java

+        }
+    }
+
+    private void processAGUIMessages(MLAgent mlAgent, Map<String, String> params, String llmInterface) {


This method is soo long, can we break this down for simplicity?

May be something like:

• extractToolResults(JsonArray messageArray) • buildChatHistory(JsonArray messageArray, Map<String, String> params) • processMessageTemplates(JsonArray messageArray, Map<String, String> params)

dhrubo-os · 2025-11-09T06:00:06Z

ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/agent/AgentUtils.java

+                    frontendTools.addAll(parsed);
+                }
+            } catch (Exception e) {
+                log.warn("Failed to parse frontend tools: {}", e.getMessage());


what about log.error?

dhrubo-os · 2025-11-09T06:00:54Z

ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/agent/AGUIFrontendTool.java

+    }
+
+    @Override
+    public boolean validate(Map<String, String> parameters) {


Can we add a todo here if we are planning to add validation later?

We don't expect this tool to be executed here. It will be executed in browser which handles validation. This class is to let the LLM knows that it has access to frontend tools.

dhrubo-os · 2025-11-09T17:39:23Z

common/src/main/java/org/opensearch/ml/common/agui/AGUIInputConverter.java

+                || !jsonObj.has(AGUI_FIELD_RUN_ID)
+                || !jsonObj.has(AGUI_FIELD_MESSAGES)
+                || !jsonObj.has(AGUI_FIELD_TOOLS)) {
+                return false;


Should we add a log?

dhrubo-os · 2025-11-09T17:45:53Z

common/src/main/java/org/opensearch/ml/common/agui/TextMessageContentEvent.java

+    public TextMessageContentEvent(String messageId, String delta) {
+        super(TYPE, System.currentTimeMillis(), null);
+        this.messageId = messageId;
+        this.delta = delta != null ? delta : "";


Why do we need have "". Can't we just mark this as optional string?

dhrubo-os · 2025-11-09T17:47:38Z

ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/agent/AGUIFrontendTool.java

+
+    @Override
+    public String getType() {
+        return "AGUIFrontendTool";


Let's put all these in static variable.

dhrubo-os · 2025-11-09T17:49:53Z

common/src/main/java/org/opensearch/ml/common/agui/AGUIInputConverter.java

+import lombok.extern.log4j.Log4j2;
+
+@Log4j2
+public class AGUIInputConverter {


I don't see any comprehensive input sanitization. This can be potential for injection attacks through malformed AG-UI JSON input

dhrubo-os · 2025-11-09T17:56:31Z

ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/agent/MLChatAgentRunner.java

+        List<Map<String, Object>> frontendTools = parseFrontendTools(aguiTools);
+
+        // Process with unified tools (both frontend and backend)
+        processUnifiedTools(mlAgent, params, listener, memory, sessionId, functionCalling, frontendTools);


what did you mean by rocess with unified tools (both frontend and backend), where are we sending backend tools? Also is there any chance functionality of front end tool and backend tool can be overlapped?

Frontend tools need separate processing as we need to break out of ReAct loop and send response to frontend. However, the LLM needs to know that it has both frontend and backend tools for it to generate a response. This logic passes all tools into the LLM.

I created an RFC here that goes over the flow for frontend and backend tools: #4409

dhrubo-os · 2025-11-09T17:57:09Z

ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/agent/MLChatAgentRunner.java

-                        );
+                        // Check if this is a backend tool - if it is, execute it normally in the ReAct loop
+                        // If it's NOT a backend tool, it must be a frontend tool, so break out of the loop
+                        boolean isBackendTool = backendTools != null && backendTools.containsKey(action);


So frontend tool and back end tool can't co-exist together?

explained in above thread

jiapingzeng changed the title ~~AG-UI support~~ AG-UI support in Agent Framework Oct 24, 2025

jiapingzeng had a problem deploying to ml-commons-cicd-env-require-approval October 24, 2025 23:59 — with GitHub Actions Error

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jiapingzeng force-pushed the ag-ui-support branch from 05dfe19 to f555403 Compare October 25, 2025 00:00

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jiapingzeng commented Oct 25, 2025

View reviewed changes

jiapingzeng force-pushed the ag-ui-support branch from f555403 to 4721dc5 Compare October 25, 2025 00:26

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jiapingzeng force-pushed the ag-ui-support branch from 013b69d to f8f6d12 Compare October 27, 2025 17:18

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jiapingzeng requested review from b4sjoo, dhrubo-os and mingshl as code owners October 27, 2025 17:18

jiapingzeng added 20 commits November 8, 2025 19:47

change execute input format for ag-ui agent

f102502

Signed-off-by: Jiaping Zeng <[email protected]>

unwrap execute api output

e5917f6

Signed-off-by: Jiaping Zeng <[email protected]>

rebase fix

f425919

Signed-off-by: Jiaping Zeng <[email protected]>

ag-ui streaming

3b7cca0

Signed-off-by: Jiaping Zeng <[email protected]>

apply spotless

62b1733

Signed-off-by: Jiaping Zeng <[email protected]>

combine json chunks

fc5d43f

Signed-off-by: Jiaping Zeng <[email protected]>

add ag-ui messages as chat_history

4379458

Signed-off-by: Jiaping Zeng <[email protected]>

pass ag-ui context to prompt

6c03d66

Signed-off-by: Jiaping Zeng <[email protected]>

support running ag-ui frontend tools

d2e5845

Signed-off-by: Jiaping Zeng <[email protected]>

fix tool execution

afce57a

Signed-off-by: Jiaping Zeng <[email protected]>

fix backend tool execution

452401d

Signed-off-by: Jiaping Zeng <[email protected]>

fix tool result in chat history

b9c0602

Signed-off-by: Jiaping Zeng <[email protected]>

add bedrock support

9c1aa50

Signed-off-by: Jiaping Zeng <[email protected]>

fix rebase conflict

3cc5304

Signed-off-by: Jiaping Zeng <[email protected]>

refactor events and constants

b6685c6

Signed-off-by: Jiaping Zeng <[email protected]>

spotless apply and change log levels

8bd5e51

Signed-off-by: Jiaping Zeng <[email protected]>

add to function calling

9a7f887

Signed-off-by: Jiaping Zeng <[email protected]>

refactor tool use formatting

7b6cb32

Signed-off-by: Jiaping Zeng <[email protected]>

add unit tests

b97aaaf

Signed-off-by: Jiaping Zeng <[email protected]>

apply spotless

db7a8cb

Signed-off-by: Jiaping Zeng <[email protected]>

jiapingzeng force-pushed the ag-ui-support branch from 0ead4f9 to db7a8cb Compare November 9, 2025 03:47

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dhrubo-os reviewed Nov 9, 2025

View reviewed changes

AG-UI support in Agent Framework #4347

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AG-UI support in Agent Framework #4347

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jiapingzeng commented Oct 24, 2025 •

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