4 const builder = await getModelBuilder({
5 type: "chat",
6 provider: "openai",
7 });
8 const model = await builder();
2
3export const multipleKeysAndMemoryConversationChainExample = (async () => {
4 const { ChatOpenAI } = await import(
5 "https://esm.sh/langchain/chat_models/openai"
6 );
7 const { BufferMemory } = await import("https://esm.sh/langchain/memory");
13 } = await import("https://esm.sh/langchain/prompts");
14 const { ConversationChain } = await import("https://esm.sh/langchain/chains");
15 const llm = new ChatOpenAI({
16 modelName: "gpt-3.5-turbo",
17 openAIApiKey: process.env.OPENAI_API_KEY,
18 temperature: 0,
19 });
13 });
14 const page = await browser.newPage();
15 await page.goto("https://en.wikipedia.org/wiki/OpenAI");
16 const intro = await page.evaluate(
17 `document.querySelector('p:nth-of-type(2)').innerText`,
7 const mb = await getModelBuilder({
8 type: "chat",
9 provider: "openai",
10 });
11 const model = await mb();
1export let openaiOpenAPI = `
2openapi: 3.0.0
3info:
44 };
45 let openApiResponse = await fetch(
46 "https://api.openai.com/v1/chat/completions",
47 requestOptions,
48 );
8 method: "POST",
9 body: JSON.stringify({
10 "url": "https://en.wikipedia.org/wiki/OpenAI",
11 "elements": [{
12 // The second <p> element on the page
2
3export const conversationalQAChainEx = (async () => {
4 const { ChatOpenAI } = await import(
5 "https://esm.sh/langchain/chat_models/openai"
6 );
7 const { HNSWLib } = await import(
8 "https://esm.sh/langchain/vectorstores/hnswlib"
9 );
10 const { OpenAIEmbeddings } = await import(
11 "https://esm.sh/langchain/embeddings/openai"
12 );
13 const { ConversationalRetrievalQAChain } = await import(
14 "https://esm.sh/langchain/chains"
15 );
16 const gpt35 = new ChatOpenAI({
17 openAIApiKey: process.env.OPENAI_API_KEY,
18 modelName: "gpt-3.5-turbo",
19 temperature: 0,
20 });
21 const gpt4 = new ChatOpenAI({
22 openAIApiKey: process.env.OPENAI_API_KEY,
23 modelName: "gpt-4",
24 temperature: 0,
27 ["Hello world", "Bye bye", "hello nice world", "bye", "hi"],
28 [{ id: 2 }, { id: 1 }, { id: 3 }, { id: 4 }, { id: 5 }],
29 new OpenAIEmbeddings({
30 openAIApiKey: process.env.OPENAI_API_KEY,
31 }),
32 );
3export const untitled_silverPinniped = (async () => {
4 const { ChatPromptTemplate } = await import("npm:langchain/prompts");
5 const { ChatOpenAI } = await import("npm:langchain/chat_models/openai");
6 const { StringOutputParser } = await import(
7 "npm:langchain/schema/output_parser"
15 ["human", "{input}"],
16 ]);
17 const model = new ChatOpenAI({
18 modelName: "gpt-4",
19 temperature: 0.2,
20 openAIApiKey: process.env.OPENAI_API_KEY,
21 });
22 // Output parser converts the chat message into a raw string. Also works with streaming.
2
3export const ask_gpt4 = async (query) => {
4 const { OpenAI } = await import("https://deno.land/x/openai/mod.ts");
5 const openAI = new OpenAI(process.env.OPENAI_KEY);
6 const chatCompletion = await openAI.createChatCompletion({
7 model: "gpt-4",
8 messages: [
