nsarrazin's picture
nsarrazin HF staff
Modular backends & support for openAI & AWS endpoints (#541)
9db8ced unverified
raw
history blame
2.61 kB
import { z } from "zod";
import { openAICompletionToTextGenerationStream } from "./openAICompletionToTextGenerationStream";
import { openAIChatToTextGenerationStream } from "./openAIChatToTextGenerationStream";
import { buildPrompt } from "$lib/buildPrompt";
import { OPENAI_API_KEY } from "$env/static/private";
import type { Endpoint } from "../endpoints";
export const endpointOAIParametersSchema = z.object({
weight: z.number().int().positive().default(1),
model: z.any(),
type: z.literal("openai"),
baseURL: z.string().url().default("https://api.openai.com/v1"),
apiKey: z.string().default(OPENAI_API_KEY ?? "sk-"),
completion: z
.union([z.literal("completions"), z.literal("chat_completions")])
.default("chat_completions"),
});
export async function endpointOai({
baseURL,
apiKey,
completion,
model,
}: z.infer<typeof endpointOAIParametersSchema>): Promise<Endpoint> {
let OpenAI;
try {
OpenAI = (await import("openai")).OpenAI;
} catch (e) {
throw new Error("Failed to import OpenAI", { cause: e });
}
const openai = new OpenAI({
apiKey: apiKey ?? "sk-",
baseURL: baseURL,
});
if (completion === "completions") {
return async ({ conversation }) => {
return openAICompletionToTextGenerationStream(
await openai.completions.create({
model: model.id ?? model.name,
prompt: await buildPrompt({
messages: conversation.messages,
webSearch: conversation.messages[conversation.messages.length - 1].webSearch,
preprompt: conversation.preprompt,
model,
}),
stream: true,
max_tokens: model.parameters?.max_new_tokens,
stop: model.parameters?.stop,
temperature: model.parameters?.temperature,
top_p: model.parameters?.top_p,
frequency_penalty: model.parameters?.repetition_penalty,
})
);
};
} else if (completion === "chat_completions") {
return async ({ conversation }) => {
const messages = conversation.messages.map((message) => ({
role: message.from,
content: message.content,
}));
return openAIChatToTextGenerationStream(
await openai.chat.completions.create({
model: model.id ?? model.name,
messages: conversation.preprompt
? [{ role: "system", content: conversation.preprompt }, ...messages]
: messages,
stream: true,
max_tokens: model.parameters?.max_new_tokens,
stop: model.parameters?.stop,
temperature: model.parameters?.temperature,
top_p: model.parameters?.top_p,
frequency_penalty: model.parameters?.repetition_penalty,
})
);
};
} else {
throw new Error("Invalid completion type");
}
}