feat: openai manifold

examples/pipelines/providers/ollama_manifold_pipeline.py

@@ -58,7 +58,7 @@ class Pipeline:
                 print(f"Error: {e}")
                 return [
                     {
-                        "id": self.id,
+                        "id": "error",
                         "name": "Could not fetch models from Ollama, please update the URL in the valves.",
                     },
                 ]

examples/pipelines/providers/openai_manifold_pipeline.py

@@ -0,0 +1,123 @@
+from typing import List, Union, Generator, Iterator
+from schemas import OpenAIChatMessage
+from pydantic import BaseModel
+
+import os
+import requests
+
+
+class Pipeline:
+    class Valves(BaseModel):
+        OPENAI_API_BASE_URL: str = "https://api.openai.com/v1"
+        OPENAI_API_KEY: str = ""
+        pass
+
+    def __init__(self):
+        self.type = "manifold"
+        # 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.id = "openai_pipeline"
+        self.name = "OpenAI: "
+
+        self.valves = self.Valves(
+            **{
+                "OPENAI_API_KEY": os.getenv(
+                    "OPENAI_API_KEY", "your-openai-api-key-here"
+                )
+            }
+        )
+
+        self.pipelines = self.get_openai_models()
+        pass
+
+    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_openai_models()
+        pass
+
+    def get_openai_models(self):
+        if self.valves.OPENAI_API_KEY:
+            try:
+                headers = {}
+                headers["Authorization"] = f"Bearer {self.valves.OPENAI_API_KEY}"
+                headers["Content-Type"] = "application/json"
+
+                r = requests.get(
+                    f"{self.valves.OPENAI_API_BASE_URL}/models", headers=headers
+                )
+
+                models = r.json()
+                return [
+                    {
+                        "id": model["id"],
+                        "name": model["name"] if "name" in model else model["id"],
+                    }
+                    for model in models["data"]
+                    if "gpt" in model["id"]
+                ]
+
+            except Exception as e:
+
+                print(f"Error: {e}")
+                return [
+                    {
+                        "id": "error",
+                        "name": "Could not fetch models from OpenAI, please update the API Key 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__}")
+
+        print(messages)
+        print(user_message)
+
+        headers = {}
+        headers["Authorization"] = f"Bearer {self.valves.OPENAI_API_KEY}"
+        headers["Content-Type"] = "application/json"
+
+        payload = {**body, "model": model_id}
+
+        if "user" in payload:
+            del payload["user"]
+        if "chat_id" in payload:
+            del payload["chat_id"]
+        if "title" in payload:
+            del payload["title"]
+
+        print(payload)
+
+        try:
+            r = requests.post(
+                url=f"{self.valves.OPENAI_API_BASE_URL}/chat/completions",
+                json=payload,
+                headers=headers,
+                stream=True,
+            )
+
+            r.raise_for_status()
+
+            if body["stream"]:
+                return r.iter_lines()
+            else:
+                return r.json()
+        except Exception as e:
+            return f"Error: {e}"

main.py

@@ -506,6 +506,13 @@ async def filter_inlet(pipeline_id: str, form_data: FilterForm):
             detail=f"Filter {pipeline_id} not found",
         )
 
+    try:
+        pipeline = app.state.PIPELINES[form_data.body["model"]]
+        if pipeline["type"] == "manifold":
+            pipeline_id = pipeline_id.split(".")[0]
+    except:
+        pass
+
     pipeline = PIPELINE_MODULES[pipeline_id]
 
     try:
@@ -531,6 +538,13 @@ async def filter_outlet(pipeline_id: str, form_data: FilterForm):
             detail=f"Filter {pipeline_id} not found",
         )
 
+    try:
+        pipeline = app.state.PIPELINES[form_data.body["model"]]
+        if pipeline["type"] == "manifold":
+            pipeline_id = pipeline_id.split(".")[0]
+    except:
+        pass
+
     pipeline = PIPELINE_MODULES[pipeline_id]
 
     try: