4export let api = async ({ prompt = "讲一个笑话" }) => {
5 return gpt3({
6 openAiKey: process.env.openai_key,
7 prompt,
8 })
7 "Emphasize a morbid sense of humor.",
8 ].join("\n"),
9 openAiKey: process.env.openai_key,
10});
5 options = {},
6) => {
7 // Initialize OpenAI API stub
8 const { Configuration, OpenAIApi } = await import(
9 "https://esm.sh/openai@3.3.0"
10 );
11 const configuration = new Configuration({
12 apiKey: process.env.OPENAI,
13 });
14 const openai = new OpenAIApi(configuration);
15 // Request chat completion
16 const messages = typeof prompt === "string"
17 ? [{ role: "user", content: prompt }]
18 : prompt;
19 const { data } = await openai.createChatCompletion({
20 model: "gpt-3.5-turbo-0613",
21 messages,
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
