remove all ref to openai

functions/assembly/index.ts

@@ -1,7 +1,6 @@
 import { collections } from "@hypermode/functions-as";
 import { starterEmojis } from "./emojis";
 import { models } from "@hypermode/functions-as";
-import { OpenAIEmbeddingsModel } from "@hypermode/models-as/models/openai/embeddings";
 import { EmbeddingsModel } from "@hypermode/models-as/models/experimental/embeddings";
 
 import {
@@ -13,20 +12,11 @@ import {
 import { JSON } from "json-as";
 
 // These names should match the ones defined in the hypermode.json manifest file.
-const openAImbeddingModelName: string = "embeddings";
 const miniLMEmbeddingsModelName: string = "minilm";
 const generationModelName: string = "text-generator";
 const emojis: string = "emojis";
 const searchMethod: string = "searchMethod1";
 
-// This function takes input text and returns the vector embedding for that text.
-export function openAIEmbed(text: string[]): f32[][] {
-  const model = models.getModel<OpenAIEmbeddingsModel>(openAImbeddingModelName);
-  const input = model.createInput(text);
-  const output = model.invoke(input);
-  return output.data.map<f32[]>((d) => d.embedding);
-}
-
 export function miniLMEmbed(text: string[]): f32[][] {
   const model = models.getModel<EmbeddingsModel>(miniLMEmbeddingsModelName);
   const input = model.createInput(text);

hypermode.json

@@ -1,11 +1,6 @@
 {
   "$schema": "https://manifest.hypermode.com/hypermode.json",
   "models": {
-    "embeddings": {
-      "sourceModel": "text-embedding-3-large",
-      "host": "openai",
-      "path": "v1/embeddings"
-    },
     "minilm": {
       "sourceModel": "sentence-transformers/all-MiniLM-L6-v2",
       "provider": "hugging-face",
@@ -18,14 +13,7 @@
     }
   },
 
-  "hosts": {
-    "openai": {
-      "baseUrl": "https://api.openai.com/",
-      "headers": {
-        "Authorization": "Bearer {{API_KEY}}"
-      }
-    }
-  },
+  "hosts": {},
   "collections": {
     "emojis": {
       "searchMethods": {