diff --git a/samples/email-triage-agent/README.md b/samples/email-triage-agent/README.md
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+# Email Triage Agent
+
+A long-running LangGraph agent that watches a UiPath Integration Services Outlook connection for new emails matching a subject filter, classifies each one with an LLM, and replies to the original email with a polite acknowledgement drafted by the LLM.
+
+The graph has no terminal node — once started, the agent stays SUSPENDED on the Outlook trigger forever, briefly waking to triage and reply to each matching email and then re-suspending. Cancel the job manually when you're done.
+
+## What this sample demonstrates
+
+- **`WaitIntegrationEvent`** — the agent suspends until an external IS connector event fires. The Connections-service registers a remote subscription on the user's behalf; when a matching email arrives, Orchestrator resumes the job and the SDK enriches the IS event metadata into the actual Microsoft Graph `Message`.
+- An LLM call with strict structured output (Pydantic schema for the triage result).
+- A direct Microsoft Graph call to send the reply, authenticated with the OAuth token issued for the same UiPath connection that received the trigger.
+
+## Flow
+
+```
+START
+  └─► wait_for_email      (suspend on Outlook EMAIL_RECEIVED, resume with Graph Message)
+        └─► triage_email  (LLM → severity / category / summary / suggested_response)
+              └─► send_reply  (Graph POST /me/messages/{id}/reply with the LLM draft)
+                    └─► finalize  (log result, clear transient state, increment counter)
+                          └─► wait_for_email  (loop)
+```
+
+## Input
+
+The agent takes four required inputs at job start:
+
+```json
+{
+  "subject": "Issue",
+  "connection_name": "support@example.com",
+  "connection_folder": "Support",
+  "connector": "uipath-microsoft-outlook365"
+}
+```
+
+| Field | Description |
+|---|---|
+| `subject` | Exact email subject to watch for. The IS trigger registers a server-side filter `(subject=='<value>')` so only matching emails fire it. |
+| `connection_name` | Name of the Outlook 365 connection in UiPath Integration Services. |
+| `connection_folder` | Folder where the connection lives. |
+| `connector` | Connector key in the IS catalog (typically `uipath-microsoft-outlook365`). |
+
+All four are persisted in state across loop iterations — set once at job start.
+
+## Connection requirements
+
+The Outlook connection passed in via input must be authorized to **read AND send** mail (`Mail.Read` + `Mail.Send` Graph scopes), and the `EMAIL_RECEIVED` IS trigger must be enabled on the connector. Re-authorize the connection from the UiPath Connections UI if either scope is missing.
+
+## Running locally
+
+```bash
+uv sync
+uipath run agent '{"subject": "Issue", "connection_name": "support@example.com", "connection_folder": "Support", "connector": "uipath-microsoft-outlook365"}'
+```
+
+The agent suspends waiting for the first matching email. Send (or have someone send) a message with subject `Issue` to the inbox the connection is bound to. When it arrives, the agent resumes, triages, replies, logs the result, and re-suspends on the next email.
+
+Sample iteration log:
+
+```
+[INFO] Waiting for next email on 'support@example.com' (folder='Support') with subject='Issue' (triaged so far: 0)...
+[INFO] Received email from alice@example.com: Issue
+[INFO] Triage: severity=P0_critical category=bug
+[INFO] Reply sent.
+[INFO] Triaged email #1 from alice@example.com (subject='Issue', severity=P0_critical, category=bug, reply_sent=True)
+[INFO] Waiting for next email on 'support@example.com' (folder='Support') with subject='Issue' (triaged so far: 1)...
+```
+
+## Notes
+
+- **All four inputs are set once at job start.** Persisted in state across loop iterations — to change any of them (subject, connection, folder, connector), cancel the job and start a new one.
+- **Long-running pattern.** This sample is deliberately a single long-lived job to demo `WaitIntegrationEvent` cleanly. The idiomatic UiPath production pattern for "react to many emails" is the inverse: configure an Orchestrator event trigger that starts a fresh, one-shot agent job per matching email. That gives you a finite lifecycle per email, parallel processing, and no recursion-limit concerns. Use whichever shape fits your operational model.
+- **Adding human-in-the-loop later.** The sample previously included a `route_to_human` step using `CreateTask` to escalate high-severity emails through Action Center. That branch was removed for shipping simplicity. Adding it back when you have a working Action Center app or wrapper process is straightforward — the LLM's structured output already supports a `requires_human` field if you need to re-introduce conditional escalation.
diff --git a/samples/email-triage-agent/agent.mermaid b/samples/email-triage-agent/agent.mermaid
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+++ b/samples/email-triage-agent/agent.mermaid
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+%% AUTO-GENERATED by `uipath init`. Do not edit manually.
+%% Regenerated on every `uipath init`.
+flowchart TB
+  __start__(__start__)
+  wait_for_email(wait_for_email)
+  triage_email(triage_email)
+  send_reply(send_reply)
+  finalize(finalize)
+  __end__(__end__)
+  __start__ --> wait_for_email
+  finalize --> wait_for_email
+  send_reply --> finalize
+  triage_email --> send_reply
+  wait_for_email --> triage_email
+  triage_email --> __end__
diff --git a/samples/email-triage-agent/graph.py b/samples/email-triage-agent/graph.py
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+"""Long-running support inbox triage agent.
+
+Watches a UiPath Integration Services Outlook connection for emails whose
+subject matches the value passed in as agent input. Each match:
+
+1. Resumes the suspended job with the enriched Microsoft Graph `Message`
+   as the resume value of `WaitIntegrationEvent`.
+2. The LLM classifies the email into severity, category, a one-sentence
+   summary, and a polite acknowledgement draft.
+3. The agent replies to the original email with the LLM-drafted
+   acknowledgement (via Microsoft Graph, using the connection's OAuth token).
+4. The result is logged, transient state is cleared, and the agent loops
+   back to suspend on the next matching email.
+
+The graph has no terminal node — the agent stays SUSPENDED on the Outlook
+trigger forever, briefly waking to triage and reply to each matching email
+and then re-suspending. Cancel the job manually when you're done with it.
+
+Demonstrates one suspend/resume primitive in a long-running agent:
+- `WaitIntegrationEvent` — suspend until an external IS connector event fires.
+"""
+
+import logging
+from enum import Enum
+from typing import Any, Optional
+
+import httpx
+from langchain_core.messages import HumanMessage, SystemMessage
+from langgraph.graph import START, StateGraph
+from langgraph.types import interrupt
+from pydantic import BaseModel, Field
+from uipath.platform import UiPath
+from uipath.platform.common import WaitIntegrationEvent
+from uipath_langchain.chat import UiPathChat
+
+logger = logging.getLogger(__name__)
+
+GRAPH_API_BASE = "https://graph.microsoft.com/v1.0"
+
+
+class Severity(str, Enum):
+    P0_CRITICAL = "P0_critical"
+    P1_HIGH = "P1_high"
+    P2_NORMAL = "P2_normal"
+    P3_LOW = "P3_low"
+
+
+class Category(str, Enum):
+    BUG = "bug"
+    FEATURE_REQUEST = "feature_request"
+    HOWTO = "howto"
+    BILLING = "billing"
+    SPAM = "spam"
+    OTHER = "other"
+
+
+class Triage(BaseModel):
+    severity: Severity = Field(
+        description=(
+            "P0 = production outage / data loss, "
+            "P1 = major workflow impact, "
+            "P2 = normal request or single-user impact, "
+            "P3 = low / cosmetic / general question."
+        )
+    )
+    category: Category
+    summary: str = Field(description="One-sentence summary in the customer's voice.")
+    suggested_response: str = Field(
+        description="Polite acknowledgement reply confirming receipt and next steps."
+    )
+
+
+class GraphInput(BaseModel):
+    subject: str = Field(
+        description="The exact email subject to watch for. The IS trigger filters incoming emails by this value."
+    )
+    connection_name: str = Field(
+        description="Name of the Outlook 365 connection in UiPath Integration Services."
+    )
+    connection_folder: str = Field(
+        description="Folder where the Outlook connection lives."
+    )
+    connector: str = Field(
+        description="Connector key in the IS catalog (typically 'uipath-microsoft-outlook365')."
+    )
+
+
+class GraphState(BaseModel):
+    subject: str = ""
+    connection_name: str = ""
+    connection_folder: str = ""
+    connector: str = ""
+    email: Optional[dict[str, Any]] = None
+    triage: Optional[Triage] = None
+    reply_sent: Optional[bool] = None
+    reply_body: Optional[str] = None
+    triage_count: int = 0
+
+
+llm = UiPathChat(model="gpt-4o-mini-2024-07-18")
+
+
+def _email_str(email: dict[str, Any], *path: str, default: str = "") -> str:
+    cur: Any = email
+    for p in path:
+        if not isinstance(cur, dict):
+            return default
+        cur = cur.get(p)
+    return cur if isinstance(cur, str) else default
+
+
+async def _send_outlook_reply(
+    message_id: str,
+    body: str,
+    connection_name: str,
+    connection_folder: str,
+    connector: str,
+) -> None:
+    """Reply to an Outlook message via Microsoft Graph, using the OAuth token
+    issued for the UiPath Outlook connection that received the trigger.
+    """
+    sdk = UiPath()
+    connections = await sdk.connections.list_async(
+        name=connection_name,
+        folder_path=connection_folder,
+        connector_key=connector,
+    )
+    connection = next(
+        (c for c in connections if c.name == connection_name),
+        None,
+    )
+    if connection is None or connection.id is None:
+        raise RuntimeError(
+            f"Outlook connection {connection_name!r} not found in "
+            f"folder {connection_folder!r}."
+        )
+
+    token = await sdk.connections.retrieve_token_async(connection.id)
+
+    async with httpx.AsyncClient(timeout=30) as client:
+        response = await client.post(
+            f"{GRAPH_API_BASE}/me/messages/{message_id}/reply",
+            headers={
+                "Authorization": f"Bearer {token.access_token}",
+                "Content-Type": "application/json",
+            },
+            json={"comment": body},
+        )
+        response.raise_for_status()
+
+
+async def wait_for_email(state: GraphState) -> dict[str, Any]:
+    logger.info(
+        "Waiting for next email on '%s' (folder='%s') with subject=%r (triaged so far: %d)...",
+        state.connection_name,
+        state.connection_folder,
+        state.subject,
+        state.triage_count,
+    )
+    email = interrupt(
+        WaitIntegrationEvent(
+            connector=state.connector,
+            connection_name=state.connection_name,
+            connection_folder_path=state.connection_folder,
+            operation="EMAIL_RECEIVED",
+            object_name="Message",
+            filter_expression=f"(subject=='{state.subject}')",
+        )
+    )
+    sender = _email_str(email, "from", "emailAddress", "address", default="?")
+    logger.info("Received email from %s: %s", sender, _email_str(email, "subject"))
+    return {"email": email}
+
+
+async def triage_email(state: GraphState) -> dict[str, Any]:
+    email = state.email or {}
+    sender = _email_str(email, "from", "emailAddress", "address", default="unknown")
+    subject = _email_str(email, "subject")
+    body = _email_str(email, "bodyPreview") or _email_str(email, "body", "content")
+
+    triage_llm = llm.with_structured_output(Triage)
+    result: Triage = await triage_llm.ainvoke(
+        [
+            SystemMessage(
+                "You are a support triage assistant. Read the customer email and "
+                "produce a structured triage result.\n\n"
+                "Severity guidelines:\n"
+                "- P0: production outage, data loss, or anything blocking critical work.\n"
+                "- P1: major workflow impact; affects many users.\n"
+                "- P2: normal request or single-user impact.\n"
+                "- P3: low priority, cosmetic, or general question.\n\n"
+                "Always draft a polite acknowledgement confirming receipt and "
+                "setting expectations for next steps."
+            ),
+            HumanMessage(f"From: {sender}\nSubject: {subject}\n\n{body}"),
+        ]
+    )
+    logger.info(
+        "Triage: severity=%s category=%s",
+        result.severity.value,
+        result.category.value,
+    )
+    return {"triage": result}
+
+
+async def send_reply(state: GraphState) -> dict[str, Any]:
+    email = state.email or {}
+    triage = state.triage
+    message_id = email.get("id") if isinstance(email, dict) else None
+    body = triage.suggested_response if triage else None
+
+    if not body:
+        logger.warning("No reply body resolved — skipping send.")
+        return {"reply_sent": False, "reply_body": None}
+
+    if not message_id:
+        logger.warning("Email payload had no 'id' field — cannot send reply.")
+        return {"reply_sent": False, "reply_body": body}
+
+    try:
+        await _send_outlook_reply(
+            message_id,
+            body,
+            connection_name=state.connection_name,
+            connection_folder=state.connection_folder,
+            connector=state.connector,
+        )
+        logger.info("Reply sent.")
+        return {"reply_sent": True, "reply_body": body}
+    except Exception:
+        logger.exception("Failed to send Outlook reply.")
+        return {"reply_sent": False, "reply_body": body}
+
+
+async def finalize(state: GraphState) -> dict[str, Any]:
+    triage = state.triage
+    assert triage is not None
+    email = state.email or {}
+    sender = _email_str(email, "from", "emailAddress", "address", default="unknown")
+    subject = _email_str(email, "subject")
+
+    logger.info(
+        "Triaged email #%d from %s (subject=%r, severity=%s, category=%s, reply_sent=%s)",
+        state.triage_count + 1,
+        sender,
+        subject,
+        triage.severity.value,
+        triage.category.value,
+        bool(state.reply_sent),
+    )
+    return {
+        "triage_count": state.triage_count + 1,
+        "email": None,
+        "triage": None,
+        "reply_sent": None,
+        "reply_body": None,
+    }
+
+
+builder = StateGraph(GraphState, input_schema=GraphInput)
+builder.add_node("wait_for_email", wait_for_email)
+builder.add_node("triage_email", triage_email)
+builder.add_node("send_reply", send_reply)
+builder.add_node("finalize", finalize)
+
+builder.add_edge(START, "wait_for_email")
+builder.add_edge("wait_for_email", "triage_email")
+builder.add_edge("triage_email", "send_reply")
+builder.add_edge("send_reply", "finalize")
+builder.add_edge("finalize", "wait_for_email")
+
+graph = builder.compile()
diff --git a/samples/email-triage-agent/langgraph.json b/samples/email-triage-agent/langgraph.json
new file mode 100644
index 000000000..da3701454
--- /dev/null
+++ b/samples/email-triage-agent/langgraph.json
@@ -0,0 +1,5 @@
+{
+  "graphs": {
+    "agent": "./graph.py:graph"
+  }
+}
diff --git a/samples/email-triage-agent/pyproject.toml b/samples/email-triage-agent/pyproject.toml
new file mode 100644
index 000000000..9221a3a2e
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+++ b/samples/email-triage-agent/pyproject.toml
@@ -0,0 +1,22 @@
+[project]
+name = "email-triage-agent"
+version = "0.0.1"
+description = "Wait for new emails via UiPath Integration Services, triage them with an LLM, and optionally escalate to a human via Action Center."
+authors = [{ name = "John Doe", email = "john.doe@myemail.com" }]
+requires-python = ">=3.11"
+dependencies = [
+    "httpx>=0.27",
+    "langgraph>=1.0.4",
+    "uipath-langchain"
+]
+
+[dependency-groups]
+dev = [
+    "uipath-dev",
+]
+
+[[tool.uv.index]]
+name = "testpypi"
+url = "https://test.pypi.org/simple/"
+publish-url = "https://test.pypi.org/legacy/"
+explicit = true
diff --git a/samples/email-triage-agent/uipath.json b/samples/email-triage-agent/uipath.json
new file mode 100644
index 000000000..bd7403fd2
--- /dev/null
+++ b/samples/email-triage-agent/uipath.json
@@ -0,0 +1,15 @@
+{
+  "$schema": "https://cloud.uipath.com/draft/2024-12/uipath",
+  "runtimeOptions": {
+    "isConversational": false
+  },
+  "packOptions": {
+    "fileExtensionsIncluded": [],
+    "filesIncluded": [],
+    "filesExcluded": [],
+    "directoriesExcluded": [],
+    "includeUvLock": true
+  },
+  "functions": {},
+  "agents": {}
+}