example: convo turn limit filter

examples/conversation_turn_limit_filter.py

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+import os
+from typing import List, Optional
+from pydantic import BaseModel
+from schemas import OpenAIChatMessage
+import time
+
+
+class Pipeline:
+    def __init__(self):
+        # Pipeline filters are only compatible with Open WebUI
+        # You can think of filter pipeline as a middleware that can be used to edit the form data before it is sent to the OpenAI API.
+        self.type = "filter"
+
+        # Assign a unique identifier to the pipeline.
+        # The identifier must be unique across all pipelines.
+        # The identifier must be an alphanumeric string that can include underscores or hyphens. It cannot contain spaces, special characters, slashes, or backslashes.
+        self.id = "conversation_turn_limit_filter_pipeline"
+        self.name = "Conversation Turn Limit Filter"
+
+        class Valves(BaseModel):
+            # List target pipeline ids (models) that this filter will be connected to.
+            # If you want to connect this filter to all pipelines, you can set pipelines to ["*"]
+            pipelines: List[str] = []
+
+            # Assign a priority level to the filter pipeline.
+            # The priority level determines the order in which the filter pipelines are executed.
+            # The lower the number, the higher the priority.
+            priority: int = 0
+
+            # Valves for conversation turn limiting
+            target_user_roles: List[str] = ["user"]
+            max_turns: Optional[int] = None
+
+        self.valves = Valves(
+            **{
+                "pipelines": os.getenv("CONVERSATION_TURN_PIPELINES", "*").split(","),
+                "max_turns": 10,
+            }
+        )
+
+    async def on_startup(self):
+        # This function is called when the server is started.
+        print(f"on_startup:{__name__}")
+        pass
+
+    async def on_shutdown(self):
+        # This function is called when the server is stopped.
+        print(f"on_shutdown:{__name__}")
+        pass
+
+    async def inlet(self, body: dict, user: Optional[dict] = None) -> dict:
+        print(f"pipe:{__name__}")
+        print(body)
+        print(user)
+
+        if user.get("role", "admin") in self.valves.target_user_roles:
+            messages = body.get("messages", [])
+            if len(messages) > self.valves.max_turns:
+                raise Exception(
+                    f"Conversation turn limit exceeded. Max turns: {self.valves.max_turns}"
+                )
+
+        return body