Val Town Code SearchReturn to Val Town

cerebras_coderqueries5 matches

@Proking2005•Updated 1 month ago

1import { sqlite } from "https://esm.town/v/stevekrouse/sqlite";
2import OpenAI from "openai";
3import { ITERATIONS_TABLE, KEY, PROJECTS_TABLE, SCHEMA_VERSION } from "./migrations";
4
5const openai = new OpenAI({ apiKey: Deno.env.get("OPENAI_API_KEY") });
6
7export async function createProject(prompt: string) {
59}
60
61// Example of using OpenAI (you'll need to adapt this to your specific use case)
62export async function generateText(prompt: string) {
63  try {
64    const completion = await openai.chat.completions.create({
65      messages: [{ role: "user", content: prompt }],
66      model: "gpt-4-turbo-preview",
70    return completion.choices[0].message?.content || "No response";
71  } catch (error) {
72    console.error("OpenAI Error:", error);
73    return "Error generating text";
74  }

cerebras_codergenerate-code5 matches

@Proking2005•Updated 1 month ago

1import OpenAI from "openai";
2import STARTER_PROMPTS from "../public/starter-prompts.js";
3
16    };
17  } else {
18    const openai = new OpenAI({
19      apiKey: Deno.env.get(
20        "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",
21      ),
22    });
23    const completion = await openai.chat.completions.create({
24      messages: [
25        {
46        },
47      ].filter(Boolean),
48      model: "gpt-4-turbo-preview", // Or another suitable OpenAI model
49      max_tokens: 2000, // Adjust as needed
50    });
52    return {
53      code: extractCodeFromFence(completion.choices[0].message.content),
54      time: 0, // OpenAI doesn't directly provide completion time
55      totalTokens: completion.usage?.total_tokens || 1,
56    };

191export default async function server(request: Request): Promise<Response> {
192  if (request.method === "POST" && new URL(request.url).pathname === "/chat") {
193    const { OpenAI } = await import("https://esm.town/v/std/openai");
194    const openai = new OpenAI();
195
196    const { messages, rawInput } = await request.json();
219    ];
220
221    const stream = await openai.chat.completions.create({
222      model: "gpt-4o-mini",
223      messages: constrainedMessages,

79    setIsLoading(true);
80    try {
81      const { OpenAI } = await import("https://esm.town/v/std/openai");
82      const openai = new OpenAI();
83
84      const analysisPrompt = `Comprehensive Medical Report Analysis:
100Respond with a structured, compassionate, and informative analysis that prioritizes patient understanding and next steps.`;
101
102      const analysis = await openai.chat.completions.create({
103        model: "gpt-4o-mini",
104        messages: [
340export default async function server(request: Request): Promise<Response> {
341  if (request.method === 'POST' && new URL(request.url).pathname === '/chat') {
342    const { OpenAI } = await import("https://esm.town/v/std/openai");
343    const openai = new OpenAI();
344
345    const { messages } = await request.json();
346
347    const stream = await openai.chat.completions.create({
348      model: "gpt-4o-mini",
349      messages: messages,

1import { openai } from "npm:@ai-sdk/openai";
2import { generateText } from "npm:ai";
3
8  try {
9    const { text: compliments } = await generateText({
10      model: openai("gpt-4o-mini"),
11      system: "You are a creative compliment generator.",
12      prompt: "Generate 5 unique, thoughtful, and specific compliments about a person named Traves.",

1import { openai } from "npm:@ai-sdk/openai";
2import { generateText } from "npm:ai";
3

1import { openai } from "npm:@ai-sdk/openai";
2import { generateText } from "npm:ai";
3
33
34    const { text: generatedCompliment } = await generateText({
35      model: openai("gpt-4o-mini"),
36      system: "You are a creative compliment generator.",
37      prompt: `Generate a compliment for: ${compliment}`,

5
6// Store the API key as a constant or use environment variable
7const OPENAI_API_KEY =
8  "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";
9
116          : "You are an expert guide helping users accelerate their learning and mastery of skills. Provide concise, actionable insights that help people learn faster and more effectively.");
117
118      const response = await fetch("https://api.openai.com/v1/chat/completions", {
119        method: "POST",
120        headers: {
121          "Authorization": `Bearer ${OPENAI_API_KEY}`,
122          "Content-Type": "application/json",
123        },

1import { openai } from "npm:@ai-sdk/openai";
2import { generateText } from "npm:ai";
3
12    }
13    const { text: processedOutput } = await generateText({
14      model: openai("gpt-4o-mini"),
15      system: "You are a helpful assistant.",
16      prompt: "Process the following input based on the requirements: " + body.input,

770
771export default async function server(request: Request): Promise<Response> {
772  const { OpenAI } = await import("https://esm.town/v/std/openai");
773  const openai = new OpenAI();
774
775  // Enhanced server-side logging
870      `;
871
872      const completion = await openai.chat.completions.create({
873        model: "gpt-4o-mini",
874        response_format: { type: "json_object" },
949      `;
950
951      const completion = await openai.chat.completions.create({
952        model: "gpt-4o-mini",
953        response_format: { type: "json_object" },
1021      `;
1022
1023      const completion = await openai.chat.completions.create({
1024        model: "gpt-4o-mini",
1025        messages: [{ role: "user", content: prompt }],