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import { z } from "zod"; |
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import { openAICompletionToTextGenerationStream } from "./openAICompletionToTextGenerationStream"; |
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import { openAIChatToTextGenerationStream } from "./openAIChatToTextGenerationStream"; |
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import { buildPrompt } from "$lib/buildPrompt"; |
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import { OPENAI_API_KEY } from "$env/static/private"; |
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import type { Endpoint } from "../endpoints"; |
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export const endpointOAIParametersSchema = z.object({ |
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weight: z.number().int().positive().default(1), |
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model: z.any(), |
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type: z.literal("openai"), |
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baseURL: z.string().url().default("https://api.openai.com/v1"), |
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apiKey: z.string().default(OPENAI_API_KEY ?? "sk-"), |
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completion: z |
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.union([z.literal("completions"), z.literal("chat_completions")]) |
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.default("chat_completions"), |
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defaultHeaders: z.record(z.string()).optional(), |
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defaultQuery: z.record(z.string()).optional(), |
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}); |
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export async function endpointOai( |
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input: z.input<typeof endpointOAIParametersSchema> |
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): Promise<Endpoint> { |
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const { baseURL, apiKey, completion, model, defaultHeaders, defaultQuery } = |
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endpointOAIParametersSchema.parse(input); |
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let OpenAI; |
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try { |
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OpenAI = (await import("openai")).OpenAI; |
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} catch (e) { |
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throw new Error("Failed to import OpenAI", { cause: e }); |
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} |
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const openai = new OpenAI({ |
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apiKey: apiKey ?? "sk-", |
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baseURL, |
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defaultHeaders, |
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defaultQuery, |
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}); |
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if (completion === "completions") { |
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return async ({ messages, preprompt, continueMessage }) => { |
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const prompt = await buildPrompt({ |
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messages, |
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continueMessage, |
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preprompt, |
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model, |
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}); |
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return openAICompletionToTextGenerationStream( |
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await openai.completions.create({ |
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model: model.id ?? model.name, |
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prompt, |
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stream: true, |
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max_tokens: model.parameters?.max_new_tokens, |
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stop: model.parameters?.stop, |
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temperature: model.parameters?.temperature, |
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top_p: model.parameters?.top_p, |
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frequency_penalty: model.parameters?.repetition_penalty, |
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}) |
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); |
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}; |
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} else if (completion === "chat_completions") { |
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return async ({ messages, preprompt }) => { |
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let messagesOpenAI = messages.map((message) => ({ |
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role: message.from, |
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content: message.content, |
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})); |
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if (messagesOpenAI?.[0]?.role !== "system") { |
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messagesOpenAI = [{ role: "system", content: preprompt ?? "" }, ...messagesOpenAI]; |
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} |
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return openAIChatToTextGenerationStream( |
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await openai.chat.completions.create({ |
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model: model.id ?? model.name, |
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messages: messagesOpenAI, |
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stream: true, |
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max_tokens: model.parameters?.max_new_tokens, |
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stop: model.parameters?.stop, |
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temperature: model.parameters?.temperature, |
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top_p: model.parameters?.top_p, |
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frequency_penalty: model.parameters?.repetition_penalty, |
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}) |
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); |
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}; |
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} else { |
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throw new Error("Invalid completion type"); |
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} |
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} |
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