AgentServices.xml
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<?xml version="1.0" encoding="UTF-8"?>
<services xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:noNamespaceSchemaLocation="http://moqui.org/xsd/service-definition-3.xsd">
<!-- ========================================================= -->
<!-- Agent Tool Bridge (The Secure Gateway) -->
<!-- ========================================================= -->
<service verb="call" noun="McpToolWithDelegation" authenticate="false">
<description>
Securely executes an MCP tool by impersonating target user (runAsUserId).
The calling agent must have permission to use this service, but
tool execution itself is subject to target user's permissions.
</description>
<in-parameters>
<parameter name="toolName" required="true"/>
<parameter name="arguments" type="Map"/>
<parameter name="runAsUserId" required="true">
<description>The UserAccount ID to impersonate.</description>
</parameter>
</in-parameters>
<out-parameters>
<parameter name="result" type="Map"/>
</out-parameters>
<actions>
<script><![CDATA[
import org.moqui.mcp.adapter.McpToolAdapter
import org.moqui.context.ArtifactAuthorizationException
// 1. Capture current agent identity
String agentUsername = ec.user.username
try {
// 2. Switch identity to target user
boolean loggedIn = ec.user.internalLoginUser(runAsUserId, false)
if (!loggedIn) throw new Exception("Could not switch to user ${runAsUserId}")
ec.logger.info("Agent ${agentUsername} executing ${toolName} AS ${ec.user.username} (${runAsUserId})")
// 3. Execute Tool
McpToolAdapter adapter = new McpToolAdapter()
result = adapter.callTool(ec, toolName, arguments)
} finally {
// 4. Restore Agent Identity
if (agentUsername) {
ec.user.internalLoginUser(agentUsername, false)
}
}
]]></script>
</actions>
</service>
<!-- ========================================================= -->
<!-- Agent Client (OpenAI-Compatible API Wrapper) -->
<!-- ========================================================= -->
<service verb="call" noun="OpenAiChatCompletion" authenticate="false">
<description>Generic wrapper for OpenAI-compatible chat completions (VLLM, OpenAI, etc.)</description>
<in-parameters>
<parameter name="endpointUrl" required="true"/>
<parameter name="apiKey"/>
<parameter name="model" required="true"/>
<parameter name="messages" type="List" required="true"/>
<parameter name="tools" type="List"/>
<parameter name="temperature" type="BigDecimal" default="0.7"/>
<parameter name="maxTokens" type="Integer"/>
</in-parameters>
<out-parameters>
<parameter name="response" type="Map"/>
<parameter name="httpStatus" type="Integer"/>
<parameter name="error" type="String"/>
</out-parameters>
<actions>
<script><![CDATA[
import groovy.json.JsonBuilder
import groovy.json.JsonSlurper
def payloadMap = [
model: model,
messages: messages,
temperature: temperature,
stream: false
]
if (maxTokens) payloadMap.max_tokens = maxTokens
if (tools) payloadMap.tools = tools
String jsonPayload = new JsonBuilder(payloadMap).toString()
URL url = new URL(endpointUrl + "/chat/completions")
HttpURLConnection conn = (HttpURLConnection) url.openConnection()
conn.setRequestMethod("POST")
conn.setRequestProperty("Content-Type", "application/json")
if (apiKey) conn.setRequestProperty("Authorization", "Bearer " + apiKey)
conn.setDoOutput(true)
conn.setConnectTimeout(10000)
conn.setReadTimeout(60000)
try {
conn.outputStream.write(jsonPayload.getBytes("UTF-8"))
httpStatus = conn.responseCode
InputStream is = (httpStatus >= 200 && httpStatus < 300) ? conn.inputStream : conn.errorStream
String responseText = is?.text
if (responseText) response = new JsonSlurper().parseText(responseText)
if (httpStatus >= 300) error = "HTTP ${httpStatus}: ${responseText}"
} catch (Exception e) {
error = e.message
httpStatus = 500
ec.logger.error("OpenAI Client Exception", e)
}
]]></script>
</actions>
</service>
<!-- ========================================================= -->
<!-- Agent Runner (Single Turn State Machine) -->
<!-- ========================================================= -->
<service verb="run" noun="AgentTaskTurn" authenticate="false">
<description>
Processes ONE turn of an Agent Task.
Loads thread history, calls LLM, executes ONE set of tools, saves state, and re-queues if needed.
</description>
<in-parameters>
<parameter name="systemMessageId" required="true"/>
</in-parameters>
<actions>
<script><![CDATA[
import groovy.json.JsonOutput
import groovy.json.JsonSlurper
import org.moqui.mcp.adapter.McpToolAdapter
// 1. Load SystemMessage Task
def taskMsg = ec.entity.find("moqui.service.message.SystemMessage")
.condition("systemMessageId", systemMessageId).one()
if (!taskMsg || taskMsg.statusId != "SmsgReceived") return
// Get AI Config
def aiConfig = ec.entity.find("moqui.mcp.agent.ProductStoreAiConfig")
.condition("productStoreId", taskMsg.productStoreId)
.condition("aiConfigId", taskMsg.aiConfigId).one()
if (!aiConfig?.endpointUrl || !aiConfig?.modelName) {
taskMsg.statusId = "SmsgError"; taskMsg.update()
return
}
// 2. Reconstruct Conversation History from CommunicationEvents
def messages = []
messages.add([role: "system", content: "You are a helpful Moqui ERP assistant. You act as user ${taskMsg.effectiveUserId}."])
if (taskMsg.rootCommEventId) {
def threadEvents = ec.entity.find("mantle.party.communication.CommunicationEvent")
.condition("rootCommEventId", taskMsg.rootCommEventId)
.orderBy("entryDate").list()
threadEvents.each { ev ->
// Distinguish roles based on fromPartyId
String role = (ev.fromPartyId == "AGENT_CLAUDE_PARTY") ? "assistant" : "user"
// Check if it's a tool result (stored in contentType application/json)
if (ev.contentType == "application/json") {
def json = new JsonSlurper().parseText(ev.body)
if (json.tool_call_id) {
messages.add([role: "tool", tool_call_id: json.tool_call_id, content: json.content])
} else if (json.tool_calls) {
messages.add([role: "assistant", tool_calls: json.tool_calls])
}
} else {
messages.add([role: role, content: ev.body])
}
}
} else {
// Initial task message
messages.add([role: "user", content: taskMsg.messageText])
}
// 3. Prepare Tools
def mcpToolAdapter = new org.moqui.mcp.adapter.McpToolAdapter()
def moquiTools = mcpToolAdapter.listTools()
def openAiTools = moquiTools.collect { tool ->
[type: "function", function: [
name: tool.name, description: tool.description,
parameters: [type: "object", properties: [
path: [type: "string"], action: [type: "string"], parameters: [type: "object"]
]]
]]
}
// 4. Call LLM
def llmResult = ec.service.sync().name("AgentServices.call#OpenAiChatCompletion").parameters([
endpointUrl: aiConfig.endpointUrl, apiKey: aiConfig.apiKey,
model: aiConfig.modelName, messages: messages, tools: openAiTools,
temperature: aiConfig.temperature
]).call()
if (llmResult.error) {
taskMsg.statusId = "SmsgError"; taskMsg.update()
return
}
def responseMsg = llmResult.response.choices[0].message
// 5. Handle Response
if (responseMsg.tool_calls) {
// SAVE Assistant "Thought" (Tool Calls)
def assistantComm = ec.service.sync().name("create#mantle.party.communication.CommunicationEvent").parameters([
fromPartyId: "AGENT_CLAUDE_PARTY", toPartyId: taskMsg.requestedByPartyId,
rootCommEventId: taskMsg.rootCommEventId, parentCommEventId: taskMsg.rootCommEventId,
communicationEventTypeId: "Message", contentType: "application/json",
body: JsonOutput.toJson([tool_calls: responseMsg.tool_calls]),
entryDate: ec.user.nowTimestamp, statusId: "CeReceived"
]).call()
// EXECUTE Tools and Save Results
responseMsg.tool_calls.each { toolCall ->
def result = [:]
try {
def runResult = ec.service.sync().name("AgentServices.call#McpToolWithDelegation").parameters([
toolName: toolCall.function.name, arguments: new JsonSlurper().parseText(toolCall.function.arguments),
runAsUserId: taskMsg.effectiveUserId
]).call()
result = runResult.result
} catch (Exception e) { result = [error: e.message] }
// Save Tool Result as CommEvent
ec.service.sync().name("create#mantle.party.communication.CommunicationEvent").parameters([
fromPartyId: taskMsg.requestedByPartyId, toPartyId: "AGENT_CLAUDE_PARTY",
rootCommEventId: taskMsg.rootCommEventId, parentCommEventId: assistantComm.communicationEventId,
communicationEventTypeId: "Message", contentType: "application/json",
body: JsonOutput.toJson([tool_call_id: toolCall.id, content: JsonOutput.toJson(result)]),
entryDate: ec.user.nowTimestamp, statusId: "CeReceived"
]).call()
}
// 6. RE-QUEUE: Create next turn message
ec.service.sync().name("create#moqui.service.message.SystemMessage").parameters([
systemMessageTypeId: "SmtyAgentTask", statusId: "SmsgReceived",
productStoreId: taskMsg.productStoreId, aiConfigId: taskMsg.aiConfigId,
requestedByPartyId: taskMsg.requestedByPartyId, effectiveUserId: taskMsg.effectiveUserId,
rootCommEventId: taskMsg.rootCommEventId, isOutgoing: "N"
]).call()
taskMsg.statusId = "SmsgConsumed"; taskMsg.update()
} else {
// FINAL Response
ec.service.sync().name("create#mantle.party.communication.CommunicationEvent").parameters([
fromPartyId: "AGENT_CLAUDE_PARTY", toPartyId: taskMsg.requestedByPartyId,
rootCommEventId: taskMsg.rootCommEventId, parentCommEventId: taskMsg.rootCommEventId,
communicationEventTypeId: "Message", contentType: "text/plain",
body: responseMsg.content, entryDate: ec.user.nowTimestamp, statusId: "CeReceived"
]).call()
taskMsg.statusId = "SmsgConfirmed"; taskMsg.update()
}
]]></script>
</actions>
</service>
<!-- ========================================================= -->
<!-- Task Scheduler (Polls Queue) -->
<!-- ========================================================= -->
<service verb="poll" noun="AgentQueue" authenticate="false">
<description>Scheduled service to pick up pending tasks and process them.</description>
<actions>
<script><![CDATA[
ec.logger.info("POLL AGENT QUEUE: Checking for SmtyAgentTask messages in SmsReceived status...")
// Find pending tasks
def pendingTasks = ec.entity.find("moqui.service.message.SystemMessage")
.condition("statusId", "SmsgReceived")
.condition("systemMessageTypeId", "SmtyAgentTask")
.limit(5)
.disableAuthz()
.list()
ec.logger.info("POLL AGENT QUEUE: Found ${pendingTasks.size()} tasks to process.")
pendingTasks.each { task ->
ec.logger.info("POLL AGENT QUEUE: Processing task ${task.systemMessageId}")
// Run Agent Task Turn
ec.service.sync().name("AgentServices.run#AgentTaskTurn")
.parameters([systemMessageId: task.systemMessageId])
.call()
}
]]></script>
</actions>
</service>
</services>