diff --git a/examples/pipelines/integrations/dbgpt_pipeline.py b/examples/pipelines/integrations/dbgpt_pipeline.py
new file mode 100644
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--- /dev/null
+++ b/examples/pipelines/integrations/dbgpt_pipeline.py
@@ -0,0 +1,204 @@
+# -*- coding: utf-8 -*-
+"""
+DBGPT Integration Pipeline for OpenWebUI
+
+This pipeline enables OpenWebUI to integrate with a self-hosted DBGPT service
+as an external AI backend. It is designed as a blocking-only pipeline for
+enterprise-grade stability, demo scenarios, and text-to-SQL use cases.
+
+Key features:
+- Blocking request mode (no streaming exposed to OpenWebUI)
+- Robust exception shielding
+- Output normalization for mixed DBGPT responses (text / chart-view / think)
+"""
+
+from typing import List, Union, Optional
+import json
+import re
+import requests
+from pprint import pprint
+
+
+class Pipeline:
+    def __init__(self):
+        # Pipeline display name
+        self.name = "DBGPT Integration Pipeline"
+
+        # ===== DBGPT configuration =====
+        # Users can modify these values according to their deployment
+        self.dbgpt_api_url = "http://localhost:5670/api/v1/chat/completions"
+        self.app_code = "your_dbgpt_app_code"
+        self.model_name = "Qwen3-32B"
+        self.domain = "default_domain"
+
+        # Behavior flags
+        self.debug = False
+        self.timeout = 300  # seconds
+
+    # ---------------------------------------------------------------------
+    # Lifecycle hooks
+    # ---------------------------------------------------------------------
+
+    async def on_startup(self):
+        print(f"[{self.name}] startup")
+
+    async def on_shutdown(self):
+        print(f"[{self.name}] shutdown")
+
+    # ---------------------------------------------------------------------
+    # Optional inlet / outlet hooks (kept for consistency with examples)
+    # ---------------------------------------------------------------------
+
+    async def inlet(self, body: dict, user: Optional[dict] = None) -> dict:
+        if self.debug:
+            print("[inlet] body:")
+            pprint(body)
+            print("[inlet] user:")
+            pprint(user)
+        return body
+
+    async def outlet(self, body: dict, user: Optional[dict] = None) -> dict:
+        if self.debug:
+            print("[outlet] body:")
+            pprint(body)
+            print("[outlet] user:")
+            pprint(user)
+        return body
+
+    # ---------------------------------------------------------------------
+    # Core pipeline entry
+    # ---------------------------------------------------------------------
+
+    def pipe(
+        self,
+        user_message: str,
+        model_id: str,
+        messages: List[dict],
+        body: dict,
+    ) -> Union[str]:
+        """
+        Blocking-only pipeline.
+
+        Although DBGPT itself may support streaming internally,
+        this pipeline always returns a finalized response to OpenWebUI
+        to ensure stability and consistent error handling.
+        """
+
+        user_message = self._sanitize_user_message(user_message)
+
+        if self.debug:
+            print(f"[pipe] model_id: {model_id}")
+            print(f"[pipe] user_message: {user_message}")
+
+        payload = {
+            "app_code": self.app_code,
+            "conv_uid": self._get_conv_uid(body),
+            "chat_mode": "chat_with_db_execute",
+            "model_name": self.model_name,
+            "user_input": user_message,
+            "temperature": 0.2,
+            "max_new_tokens": 3000,
+            "select_param": self.domain,
+        }
+
+        raw_answer = ""
+
+        try:
+            response = requests.post(
+                self.dbgpt_api_url,
+                json=payload,
+                stream=False,
+                timeout=self.timeout,
+            )
+
+            response.raise_for_status()
+
+            for line in response.iter_lines():
+                if not line:
+                    continue
+
+                decoded = line.decode("utf-8").strip()
+                if not decoded.startswith("data: "):
+                    continue
+
+                data = decoded[6:]
+                if data == "[DONE]":
+                    break
+
+                try:
+                    chunk = json.loads(data)
+                    message = (
+                        chunk.get("choices", [{}])[0]
+                        .get("message", {})
+                        .get("content")
+                    )
+                    if message:
+                        raw_answer += message
+                except Exception:
+                    # Silently ignore malformed chunks
+                    continue
+
+        except Exception as exc:
+            print(f"[{self.name}] DBGPT request failed:", exc)
+            return "Sorry, the system failed to complete the query."
+
+        return self._clean_answer(raw_answer)
+
+    # ---------------------------------------------------------------------
+    # Helpers
+    # ---------------------------------------------------------------------
+
+    def _get_conv_uid(self, body: dict) -> Optional[str]:
+        """
+        Conversation UID strategy:
+        - Same OpenWebUI user → same DBGPT conversation
+        """
+        if not body:
+            return None
+
+        user = body.get("user")
+        if user and user.get("id"):
+            return f"dbgpt-user-{user['id']}"
+        return None
+
+    def _sanitize_user_message(self, text: str) -> str:
+        """
+        Extract the last USER message from OpenWebUI chat history.
+        """
+        if not text:
+            return ""
+
+        marker = "### Chat History:"
+        if marker in text:
+            text = text.split(marker, 1)[1]
+
+        match = re.search(r"<chat_history>([\s\S]*?)</chat_history>", text)
+        if not match:
+            return text.strip().splitlines()[0]
+
+        history = match.group(1)
+        user_msgs = re.findall(r"USER:\s*(.+)", history)
+
+        return user_msgs[-1].strip() if user_msgs else ""
+
+    def _clean_answer(self, text: str) -> str:
+        """
+        Normalize DBGPT mixed output:
+        - Remove internal JSON blocks
+        - Remove <think> tags
+        - Preserve <chart-view /> if present
+        """
+        if not text:
+            return "No result was returned."
+
+        chart_match = re.search(r"<chart-view[\s\S]*?/>", text)
+        chart_html = chart_match.group(0) if chart_match else ""
+
+        text = re.sub(r"<chart-view[\s\S]*?/>", "", text)
+        text = re.sub(r"^\s*\{[\s\S]*?\}\s*", "", text)
+        text = re.sub(r"<think>[\s\S]*?</think>", "", text)
+
+        lines = [line.strip() for line in text.splitlines() if line.strip()]
+        result = lines[-1] if lines else "Query completed."
+
+        return f"{result}\n{chart_html}" if chart_html else result