diff --git a/examples/pipelines/providers/github_manifold_pipeline.py b/examples/pipelines/providers/github_manifold_pipeline.py
new file mode 100644
index 00000000..76d7e1ff
--- /dev/null
+++ b/examples/pipelines/providers/github_manifold_pipeline.py
@@ -0,0 +1,145 @@
+"""
+title: Github Models Manifold Pipeline
+author: cheahjs, (working pipeline by HomeDev68)
+author_url: https://github.com/cheahjs, https://github.com/HomeDev68
+date: 2024-10-19
+version: 1.2
+license: MIT
+description: A pipeline for generating text using Github Marketplace Models in Open-WebUI.
+environment_variables: GITHUB_PAT
+"""
+
+from typing import List, Union, Generator, Iterator
+from schemas import OpenAIChatMessage
+from pydantic import BaseModel
+
+import os
+import requests
+
+
+class Pipeline:
+    """Github Models Pipeline"""
+
+    class Valves(BaseModel):
+        """Options to change from the WebUI"""
+
+        GITHUB_MODELS_BASE_URL: str = "https://models.inference.ai.azure.com"
+        GITHUB_PAT: str = ""
+        
+    def __init__(self):
+        # Optionally, you can set the id and name of the pipeline.
+        # Best practice is to not specify the id so that it can be automatically inferred from the filename, so that users can install multiple versions of the same 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.type = "manifold"
+        self.id = "github_models"
+        self.name = "GitHub: "
+
+        self.valves = self.Valves(
+            **{
+                "GITHUB_MODELS_BASE_URL": os.getenv("GITHUB_MODELS_BASE_URL","https://models.inference.ai.azure.com"),
+                "GITHUB_PAT": os.getenv("GITHUB_PAT", "")                
+            }
+        )
+
+        self.pipelines = self.get_github_models()
+        
+    
+    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 on_valves_updated(self):
+        # This function is called when the valves are updated.
+        print(f"on_valves_updated:{__name__}")
+        self.pipelines = self.get_github_models()
+        pass
+
+    def get_github_models(self):
+        """Gets Available Github Models"""
+        if self.valves.GITHUB_PAT:
+            try:
+                headers = {}
+                headers["Authorization"] = f"Bearer {self.valves.GITHUB_PAT}"
+                headers["Content-Type"] = "application/json"
+
+                r = requests.get(f"{self.valves.GITHUB_MODELS_BASE_URL}/models", headers=headers)
+                models = r.json()
+                # Parse the json according to keys, since the json output is too large
+                return [
+                    {
+                        "id": model["name"],
+                        "name": (
+                            model["friendly_name"]
+                            if "friendly_name" in model
+                            else model["name"]
+                        ),
+                        "description": (model["summary"] if "summary" in model else ""),
+                    }
+                    for model in models
+                    if model["task"] == "chat-completion"
+                ]
+            except Exception as e:
+
+                print(f"Error: {e}")
+                return [
+                    {
+                        "id": "error",
+                        "name": "Could not fetch models from GitHub Models, please update the PAT in the valves.",
+                    },
+                ]
+        else:
+            return []
+
+    def pipe(self, user_message: str, model_id: str, messages: List[dict], body: dict) -> Union[str, Generator, Iterator]:
+        # This is where you can add your custom pipelines like RAG.
+        print(f"pipe:{__name__}")
+
+        # Log the messages for debugging
+        print(messages)
+        print(user_message)
+
+        headers = {}
+        headers["Authorization"] = f"Bearer {self.valves.GITHUB_PAT}"
+        headers["Content-Type"] = "application/json"
+
+        allowed_params = {"messages", "temperature", "top_p", "stream", "stop", "model", "max_tokens", "stream_options" }
+        
+        # Remap the model name to the model id
+        body["model"] = ".".join(body["model"].split(".")[1:])
+        filtered_body = {k: v for k, v in body.items() if k in allowed_params}
+
+        # log fields that were filtered out as a single line
+        if len(body) != len(filtered_body):
+            print(f"Dropped params: {', '.join(set(body.keys()) - set(filtered_body.keys()))}")
+            
+        # Initialize the response variable to None.
+        r = None
+        try:
+            r = requests.post(
+                url=f"{self.valves.GITHUB_MODELS_BASE_URL}/chat/completions",
+                json=filtered_body,
+                headers=headers,
+                stream=True,
+            )
+
+            r.raise_for_status()
+            if body["stream"]:
+                return r.iter_lines()
+            else:
+                return r.json()
+        except Exception as e:
+            # TODO: Render Errors Normally in Open-WebUI, not in the chat message body
+            if r:
+                text = r.text
+                return f"Error: {e} ({text})"
+            else:
+                print(f"Error generating content: {e}")
+                return f"Error: {e}"
+                # return f"Error: {str(e)}"