78 lines
1.9 KiB
TypeScript
78 lines
1.9 KiB
TypeScript
import os from "node:os";
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import { parseArgs } from "node:util";
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import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
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import { type ModelMessage, streamText } from "ai";
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import { renderStream } from "./src/render";
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const home = os.homedir();
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const convoFile = Bun.file(`${home}/.aicl_convo.json`);
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const { values: args, positionals } = parseArgs({
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args: Bun.argv,
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options: {
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model: {
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type: "string",
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},
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new: {
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type: "boolean",
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},
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},
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strict: true,
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allowPositionals: true,
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});
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async function main() {
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const provider = createOpenAICompatible({
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name: "llama.cpp",
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apiKey: "local",
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baseURL: "http://127.0.0.1:8080/v1",
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includeUsage: true, // Include usage information in streaming responses
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});
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const messages: ModelMessage[] = [];
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if (!args.new) {
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try {
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const convo = await convoFile.json();
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messages.push(...convo);
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} catch {}
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}
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const prompt = positionals[2] ?? "Introduce yourself.";
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messages.push({ role: "user", content: prompt });
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const { fullStream, textStream, text, totalUsage } = streamText({
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model: provider(args.model ?? "gemma4-26b-a4b"),
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messages,
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});
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const start = Date.now();
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const streamRender = renderStream(fullStream);
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const [width] = process.stdout.getWindowSize();
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const glow = Bun.spawn({
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cmd: ["glow", "-w", `${width}`, "-"],
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stdin: textStream,
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stdout: "inherit",
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});
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await streamRender;
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const stop = Date.now();
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await glow.exited;
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messages.push({ role: "assistant", content: await text });
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await convoFile.write(JSON.stringify(messages));
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const { inputTokens, outputTokens } = await totalUsage;
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const context = (inputTokens ?? 0) / 1000;
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const output = (outputTokens ?? 0) / 1000;
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const time = (stop - start) / 1000;
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process.stderr.write(
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`\u001b[2mContext: ${context.toFixed(1)}k, Output: ${output.toFixed(1)}k, Time: ${time.toFixed(2)}s\u001b[22m\n`,
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);
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}
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await main();
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