GPT4All API Scaffolding. Matches OpenAI OpenAPI spec for chats and completions (#839)

* GPT4All API Scaffolding. Matches OpenAI OpenAI spec for engines, chats and completions

* Edits for docker building

* FastAPI app builds and pydantic models are accurate

* Added groovy download into dockerfile

* improved dockerfile

* Chat completions endpoint edits

* API uni test sketch

* Working example of groovy inference with open ai api

* Added lines to test

* Set default to mpt

gpt4all-api/gpt4all_api/app/api_v1/routes/engines.py

@@ -0,0 +1,38 @@
+from fastapi import APIRouter, Depends, Response, Security, status
+from pydantic import BaseModel, Field
+from typing import List, Dict
+import logging
+from api_v1.settings import settings
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+### This should follow https://github.com/openai/openai-openapi/blob/master/openapi.yaml
+
+class ListEnginesResponse(BaseModel):
+    data: List[Dict] = Field(..., description="All available models.")
+
+class EngineResponse(BaseModel):
+    data: List[Dict] = Field(..., description="All available models.")
+
+router = APIRouter(prefix="/engines", tags=["Search Endpoints"])
+
+@router.get("/", response_model=ListEnginesResponse)
+async def list_engines():
+    '''
+    List all available GPT4All models from
+    https://raw.githubusercontent.com/nomic-ai/gpt4all/main/gpt4all-chat/metadata/models.json
+    '''
+    raise NotImplementedError()
+    return ListEnginesResponse(data=[])
+
+
+@router.get("/{engine_id}", response_model=EngineResponse)
+async def retrieve_engine(engine_id: str):
+    '''
+
+    '''
+
+    raise NotImplementedError()
+    return EngineResponse()
+