Fix embedding endpoint for OpenAI compatible API (#3467)

* fix embedding endpoint for openai compatible api

* remove unused imports

* add backwards compat for embedding

---------

Co-authored-by: timothycarambat <rambat1010@gmail.com>

server/endpoints/api/openai/compatibility-test-script.cjs

@@ -55,6 +55,21 @@ const client = new OpenAI({
     console.log({ message });
   }
 
+  // Test embeddings creation
+  console.log("Creating embeddings");
+  const embedding = await client.embeddings.create({
+    model: null, // model is optional for AnythingLLM
+    input: "This is a test string for embedding",
+    encoding_format: "float",
+  });
+  console.log("Embedding created successfully:");
+  console.log(`Dimensions: ${embedding.data[0].embedding.length}`);
+  console.log(
+    `First few values:`,
+    embedding.data[0].embedding.slice(0, 5),
+    `+ ${embedding.data[0].embedding.length - 5} more`
+  );
+
   // Vector DB functionality
   console.log("Fetching /vector_stores");
   const vectorDBList = await client.beta.vectorStores.list();

server/endpoints/api/openai/index.js

@@ -207,7 +207,7 @@ function apiOpenAICompatibleEndpoints(app) {
           content: {
             "application/json": {
               example: {
-                inputs: [
+                input: [
                 "This is my first string to embed",
                 "This is my second string to embed",
                 ],
@@ -223,13 +223,23 @@ function apiOpenAICompatibleEndpoints(app) {
       }
       */
       try {
-        const { inputs = [] } = reqBody(request);
-        const validArray = inputs.every((input) => typeof input === "string");
-        if (!validArray)
-          throw new Error("All inputs to be embedded must be strings.");
+        const body = reqBody(request);
+        // Support input or "inputs" (for backwards compatibility) as an array of strings or a single string
+        // TODO: "inputs" key support will eventually be fully removed.
+        let input = body?.input || body?.inputs || [];
+        // if input is not an array, make it an array and force to string content
+        if (!Array.isArray(input)) input = [String(input)];
+
+        if (Array.isArray(input)) {
+          if (input.length === 0)
+            throw new Error("Input array cannot be empty.");
+          const validArray = input.every((text) => typeof text === "string");
+          if (!validArray)
+            throw new Error("All inputs to be embedded must be strings.");
+        }
 
         const Embedder = getEmbeddingEngineSelection();
-        const embeddings = await Embedder.embedChunks(inputs);
+        const embeddings = await Embedder.embedChunks(input);
         const data = [];
         embeddings.forEach((embedding, index) => {
           data.push({

server/swagger/openapi.json

@@ -3541,7 +3541,7 @@
           "content": {
             "application/json": {
               "example": {
-                "inputs": [
+                "input": [
                   "This is my first string to embed",
                   "This is my second string to embed"
                 ],