Update autogen.ts

src/server/api/autogen.ts

@@ -1,4 +1,5 @@
-import { type CreateChatCompletionRequest } from "openai";
+
+import { type CompletionCreateParams } from "openai/resources/chat";
 import { prisma } from "../db";
 import { openai } from "../utils/openai";
 import { pick } from "lodash";
@@ -62,7 +63,7 @@ export const autogenerateScenarioValues = async (
 
   if (!experiment || !(variables?.length > 0) || !prompt) return {};
 
-  const messages: CreateChatCompletionRequest["messages"] = [
+  const messages: CompletionCreateParams.CreateChatCompletionRequestNonStreaming["messages"] = [
     {
       role: "system",
       content:
@@ -90,7 +91,6 @@ export const autogenerateScenarioValues = async (
     .forEach((vals) => {
       messages.push({
         role: "assistant",
-        // @ts-expect-error the openai type definition is wrong, the content field is required
         content: null,
         function_call: {
           name: "add_scenario",
@@ -105,7 +105,7 @@ export const autogenerateScenarioValues = async (
   }, {} as Record<string, { type: "string" }>);
 
   try {
-    const completion = await openai.createChatCompletion({
+    const completion = await openai.chat.completions.create({
       model: "gpt-3.5-turbo-0613",
       messages,
       functions: [
@@ -123,7 +123,7 @@ export const autogenerateScenarioValues = async (
     });
 
     const parsed = JSON.parse(
-      completion.data.choices[0]?.message?.function_call?.arguments ?? "{}"
+      completion.choices[0]?.message?.function_call?.arguments ?? "{}"
     ) as Record<string, string>;
     return parsed;
   } catch (e) {

src/server/utils/openai.ts

@@ -1,8 +1,59 @@
-import { Configuration, OpenAIApi } from "openai";
+import { omit } from "lodash";
 import { env } from "~/env.mjs";
 
-const configuration = new Configuration({
+import OpenAI from "openai";
-  apiKey: env.OPENAI_API_KEY,
+import { type ChatCompletion, type ChatCompletionChunk, type CompletionCreateParams } from "openai/resources/chat";
-});
 
-export const openai = new OpenAIApi(configuration);
+// console.log("creating openai client");
+
+export const openai = new OpenAI({ apiKey: env.OPENAI_API_KEY });
+
+export const mergeStreamedChunks = (
+  base: ChatCompletion | null,
+  chunk: ChatCompletionChunk
+): ChatCompletion => {
+  if (base === null) {
+    return mergeStreamedChunks({ ...chunk, choices: [] }, chunk);
+  }
+
+  const choices = [...base.choices];
+  for (const choice of chunk.choices) {
+    const baseChoice = choices.find((c) => c.index === choice.index);
+    if (baseChoice) {
+      baseChoice.finish_reason = choice.finish_reason ?? baseChoice.finish_reason;
+      baseChoice.message = baseChoice.message ?? { role: "assistant" };
+
+      if (choice.delta?.content)
+        baseChoice.message.content =
+          (baseChoice.message.content as string ?? "") + (choice.delta.content ?? "");
+      if (choice.delta?.function_call) {
+        const fnCall = baseChoice.message.function_call ?? {};
+        fnCall.name = (fnCall.name as string ?? "") + (choice.delta.function_call.name as string ?? "");
+        fnCall.arguments = (fnCall.arguments as string ?? "") + (choice.delta.function_call.arguments as string ?? "");
+      }
+    } else {
+      choices.push({ ...omit(choice, "delta"), message: { role: "assistant", ...choice.delta } });
+    }
+  }
+
+  const merged: ChatCompletion = {
+    ...base,
+    choices,
+  };
+
+  return merged;
+};
+
+export const streamChatCompletion = async function* (body: CompletionCreateParams) {
+  // eslint-disable-next-line @typescript-eslint/no-unsafe-call
+  const resp = await openai.chat.completions.create({
+    ...body,
+    stream: true,
+  });
+
+  let mergedChunks: ChatCompletion | null = null;
+  for await (const part of resp) {
+    mergedChunks = mergeStreamedChunks(mergedChunks, part);
+    yield mergedChunks;
+  }
+};