refactor to use openai functions

package-lock.json

@@ -16,6 +16,7 @@
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         "next": "13.1.6",
         "openai": "^3.3.0",
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         "react-icons": "^4.7.1",
@@ -858,6 +859,11 @@
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@@ -997,6 +1003,42 @@
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@@ -1121,6 +1163,32 @@
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+        "domhandler": "^5.0.2",
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+      "engines": {
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@@ -1957,6 +2025,18 @@
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+        "esvalidate": "bin/esvalidate.js"
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@@ -2011,6 +2091,11 @@
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+      "engines": {
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+    "node_modules/moment-timezone": {
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+      "dependencies": {
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@@ -3792,6 +3896,17 @@
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@@ -3947,6 +4062,32 @@
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       }
     },
+    "node_modules/openai-function-calling-tools": {
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+        "openai": "^3.3.0",
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@@ -4002,6 +4143,29 @@
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@@ -4243,6 +4407,11 @@
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@@ -5316,6 +5485,29 @@
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@@ -5424,6 +5616,14 @@
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+      "requires": {
+        "axios": "^1.4.0",
+        "cheerio": "1.0.0-rc.12",
+        "esprima": "^4.0.1",
+        "expr-eval": "^2.0.2",
+        "moment": "^2.29.4",
+        "moment-timezone": "^0.5.43",
+        "openai": "^3.3.0",
+        "vm2": "^3.9.19",
+        "zod": "^3.21.4"
+      },
+      "dependencies": {
+        "axios": {
+          "version": "1.4.0",
+          "resolved": "https://registry.npmjs.org/axios/-/axios-1.4.0.tgz",
+          "integrity": "sha512-S4XCWMEmzvo64T9GfvQDOXgYRDJ/wsSZc7Jvdgx5u1sd0JwsuPLqb3SYmusag+edF6ziyMensPVqLTSc1PiSEA==",
+          "requires": {
+            "follow-redirects": "^1.15.0",
+            "form-data": "^4.0.0",
+            "proxy-from-env": "^1.1.0"
+          }
+        }
+      }
+    },
     "optionator": {
       "version": "0.9.1",
       "resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.1.tgz",
@@ -8053,6 +8361,23 @@
         "callsites": "^3.0.0"
       }
     },
+    "parse5": {
+      "version": "7.1.2",
+      "resolved": "https://registry.npmjs.org/parse5/-/parse5-7.1.2.tgz",
+      "integrity": "sha512-Czj1WaSVpaoj0wbhMzLmWD69anp2WH7FXMB9n1Sy8/ZFF9jolSQVMu1Ij5WIyGmcBmhk7EOndpO4mIpihVqAXw==",
+      "requires": {
+        "entities": "^4.4.0"
+      }
+    },
+    "parse5-htmlparser2-tree-adapter": {
+      "version": "7.0.0",
+      "resolved": "https://registry.npmjs.org/parse5-htmlparser2-tree-adapter/-/parse5-htmlparser2-tree-adapter-7.0.0.tgz",
+      "integrity": "sha512-B77tOZrqqfUfnVcOrUvfdLbz4pu4RopLD/4vmu3HUPswwTA8OH0EMW9BlWR2B0RCoiZRAHEUu7IxeP1Pd1UU+g==",
+      "requires": {
+        "domhandler": "^5.0.2",
+        "parse5": "^7.0.0"
+      }
+    },
     "path-exists": {
       "version": "4.0.0",
       "resolved": "https://registry.npmjs.org/path-exists/-/path-exists-4.0.0.tgz",
@@ -8199,6 +8524,11 @@
       "resolved": "https://registry.npmjs.org/property-information/-/property-information-6.2.0.tgz",
       "integrity": "sha512-kma4U7AFCTwpqq5twzC1YVIDXSqg6qQK6JN0smOw8fgRy1OkMi0CYSzFmsy6dnqSenamAtj0CyXMUJ1Mf6oROg=="
     },
+    "proxy-from-env": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
+      "integrity": "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg=="
+    },
     "pump": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/pump/-/pump-3.0.0.tgz",
@@ -8925,6 +9255,22 @@
         "unist-util-stringify-position": "^3.0.0"
       }
     },
+    "vm2": {
+      "version": "3.9.19",
+      "resolved": "https://registry.npmjs.org/vm2/-/vm2-3.9.19.tgz",
+      "integrity": "sha512-J637XF0DHDMV57R6JyVsTak7nIL8gy5KH4r1HiwWLf/4GBbb5MKL5y7LpmF4A8E2nR6XmzpmMFQ7V7ppPTmUQg==",
+      "requires": {
+        "acorn": "^8.7.0",
+        "acorn-walk": "^8.2.0"
+      },
+      "dependencies": {
+        "acorn-walk": {
+          "version": "8.2.0",
+          "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.2.0.tgz",
+          "integrity": "sha512-k+iyHEuPgSw6SbuDpGQM+06HQUa04DZ3o+F6CSzXMvvI5KMvnaEqXe+YVe555R9nn6GPt404fos4wcgpw12SDA=="
+        }
+      }
+    },
     "which": {
       "version": "2.0.2",
       "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
@@ -9000,6 +9346,11 @@
       "version": "0.1.0",
       "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
       "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q=="
+    },
+    "zod": {
+      "version": "3.21.4",
+      "resolved": "https://registry.npmjs.org/zod/-/zod-3.21.4.tgz",
+      "integrity": "sha512-m46AKbrzKVzOzs/DZgVnG5H55N1sv1M8qZU3A8RIKbs3mrACDNeIOeilDymVb2HdmP8uwshOCF4uJ8uM9rCqJw=="
     }
   }
 }

package.json

@@ -17,7 +17,7 @@
     "html-react-parser": "^3.0.9",
     "next": "13.1.6",
     "openai": "^3.3.0",
-    "openai-function-calling-tools": "latest",
+    "openai-function-calling-tools": "^2.0.1",
     "react": "18.2.0",
     "react-dom": "18.2.0",
     "react-icons": "^4.7.1",

src/app/search/web/page.jsx

@@ -11,6 +11,7 @@ export default function WebSearchPage({ searchParams }) {
   useEffect(() => {
     async function fetchData() {
       // Fetch Google search results via server-side route
+      /*
       const response = await fetch(`/api/search?searchTerm=${searchParams.searchTerm}&start=${startIndex}`);
       if (!response.ok) {
         console.log(response);
@@ -18,9 +19,10 @@ export default function WebSearchPage({ searchParams }) {
       }
       const data = await response.json();
       setResults(data.items);
+      */
 
       // Prepare AI prompt
-      const aiPrompt = `You're creating a search engine experience. You got the following search results for the term "${searchParams.searchTerm}": ${JSON.stringify(data.items)}. How can you present these results in a helpful way?`;
+      // const aiPrompt = `You're creating a search engine experience. You got the following search results for the term "${searchParams.searchTerm}": ${JSON.stringify(data.items)}. How can you present these results in a helpful way?`;
 
       // Fetch AI response via server-side route
       const openaiRes = new EventSource('/api/llm', {
@@ -29,16 +31,7 @@ export default function WebSearchPage({ searchParams }) {
           'Content-Type': 'application/json',
         },
         body: JSON.stringify({
-          'model': { 'id': 'gpt-3.5-turbo-16k' },
-          'messages': [{
-            'role': 'system',
-            'content': 'You are a helpful assistant.'
-          }, {
-            'role': 'user',
-            'content': searchParams.searchTerm
-          }],
-          'prompt': aiPrompt,
-          'temperature': 0.5
+          'question': searchParams.searchTerm
         })
       });
 

src/pages/api/llm.js

@@ -1,84 +1,81 @@
-import { OpenAIError, OpenAIStream } from '../../stream';
-import wasm from '../../../node_modules/@dqbd/tiktoken/lite/tiktoken_bg.wasm?module';
-import tiktokenModel from '@dqbd/tiktoken/encoders/cl100k_base.json';
-import { Tiktoken, init } from '@dqbd/tiktoken/lite/init';
-
-export const DEFAULT_SYSTEM_PROMPT =
-  process.env.NEXT_PUBLIC_DEFAULT_SYSTEM_PROMPT ||
-  "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully. Respond using markdown.";
-
-export const OPENAI_API_HOST =
-  process.env.OPENAI_API_HOST || 'https://api.openai.com';
-
-export const DEFAULT_TEMPERATURE = 
-  parseFloat(process.env.NEXT_PUBLIC_DEFAULT_TEMPERATURE || "1");
-
-export const OPENAI_API_TYPE =
-  process.env.OPENAI_API_TYPE || 'openai';
-
-export const OPENAI_API_VERSION =
-  process.env.OPENAI_API_VERSION || '2023-03-15-preview';
-
-export const OPENAI_ORGANIZATION =
-  process.env.OPENAI_ORGANIZATION || '';
-
-export const AZURE_DEPLOYMENT_ID =
-  process.env.AZURE_DEPLOYMENT_ID || '';
-
-export const config = {
-  runtime: 'edge',
-};
-
-const handler = async (req) => {
-  try {
-    const { model, messages, prompt, temperature } = (await req.json());
-
-    await init((imports) => WebAssembly.instantiate(wasm, imports));
-    const encoding = new Tiktoken(
-      tiktokenModel.bpe_ranks,
-      tiktokenModel.special_tokens,
-      tiktokenModel.pat_str,
-    );
-
-    let promptToSend = prompt;
-    if (!promptToSend) {
-      promptToSend = DEFAULT_SYSTEM_PROMPT;
-    }
-
-    let temperatureToUse = temperature;
-    if (temperatureToUse == null) {
-      temperatureToUse = DEFAULT_TEMPERATURE;
-    }
-
-    const prompt_tokens = encoding.encode(promptToSend);
-
-    let tokenCount = prompt_tokens.length;
-    let messagesToSend = [];
-
-    for (let i = messages.length - 1; i >= 0; i--) {
-      const message = messages[i];
-      const tokens = encoding.encode(message.content);
-
-      if (tokenCount + tokens.length + 1000 > model.tokenLimit) {
-        break;
-      }
-      tokenCount += tokens.length;
-      messagesToSend = [message, ...messagesToSend];
-    }
+import { Configuration, OpenAIApi } from "openai";
+import { GoogleCustomSearch } from "openai-function-calling-tools";
+
+export default async function handler(req, res) {
+  if (req.method !== 'POST') {
+    // Handle any other HTTP method
+    res.status(405).send({ error: 'Method Not Allowed', method: req.method });
+    return;
+  }
 
-    encoding.free();
+  const QUESTION = req.body.question;
 
-    const stream = await OpenAIStream(model, promptToSend, temperatureToUse, null, messagesToSend);
+  if (!QUESTION) {
+    res.status(400).send({ error: 'Question is missing in request body' });
+    return;
+  }
 
-    return new Response(stream);
-  } catch (error) {
-    console.error(error);
-    if (error instanceof OpenAIError) {
-      return new Response('Error', { status: 500, statusText: error.message });
-    } else {
-      return new Response('Error', { status: 500 });
+  const configuration = new Configuration({
+    apiKey: process.env.OPENAI_API_KEY,
+  });
+  const openai = new OpenAIApi(configuration);
+
+  const messages = [
+    {
+      role: "user",
+      content: QUESTION,
+    },
+  ];
+
+  const { googleCustomSearch, googleCustomSearchSchema } = new GoogleCustomSearch({
+    apiKey: process.env.GOOGLE_API_KEY,
+    googleCSEId: process.env.GOOGLE_CSE_ID,
+  });
+
+  const functions = {
+    googleCustomSearch,
+  };
+
+  const getCompletion = async (messages) => {
+    const response = await openai.createChatCompletion({
+      model: "gpt-3.5-turbo-0613",
+      messages,
+      functions: [googleCustomSearchSchema],
+      temperature: 0,
+    });
+
+    return response;
+  };
+  
+  let response;
+
+  while (true) {
+    response = await getCompletion(messages);
+
+    if (response.data.choices[0].finish_reason === "stop") {
+      res.status(200).json({ result: response.data.choices[0].message.content });
+      break;
+    } else if (response.data.choices[0].finish_reason === "function_call") {
+      const fnName = response.data.choices[0].message.function_call.name;
+      const args = response.data.choices[0].message.function_call.arguments;
+
+      const fn = functions[fnName];
+      const result = await fn(...Object.values(JSON.parse(args)));
+
+      messages.push({
+        role: "assistant",
+        content: "",
+        function_call: {
+          name: fnName,
+          arguments: args,
+        },
+      });
+
+      messages.push({
+        role: "function",
+        name: fnName,
+        content: JSON.stringify({ result: result }),
+      });
     }
   }
-};
-
-export default handler;
+}

src/stream.js

@@ -74,16 +74,40 @@ export const OpenAIStream = async (
 
   const stream = new ReadableStream({
     async start(controller) {
-      const onParse = (event) => {
+      const onParse = async (event) => {
         if (event.type === 'event') {
           const data = event.data;
 
           try {
             const json = JSON.parse(data);
-            if (json.choices[0].finish_reason != null) {
+            if (json.choices[0].finish_reason === "stop") {
               controller.close();
               return;
-            }
+            } else if (json.choices[0].finish_reason === "function_call") {
+                const fnName = json.choices[0].message.function_call.name;
+                const args = json.choices[0].message.function_call.arguments;
+            
+                const fn = functions[fnName];
+                const result = await fn(...Object.values(JSON.parse(args)));
+            
+                console.log(`Function call: ${fnName}, Arguments: ${args}`);
+                console.log(`Calling Function ${fnName} Result: ` + result);
+            
+                messages.push({
+                    role: "assistant",
+                    content: "",
+                    function_call: {
+                    name: fnName,
+                    arguments: args,
+                    },
+                });
+            
+                messages.push({
+                    role: "function",
+                    name: fnName,
+                    content: JSON.stringify({ result: result }),
+                });
+                }
             const text = json.choices[0].delta.content;
             const queue = encoder.encode(text);
             controller.enqueue(queue);