lmc/index.ts

36 lines
1.1 KiB
TypeScript

import { streamText } from "ai";
import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
const provider = createOpenAICompatible({
name: "llama.cpp",
apiKey: "local",
baseURL: "http://127.0.0.1:8080/v1",
includeUsage: true, // Include usage information in streaming responses
});
const { fullStream, reasoningText, text } = streamText({
model: provider("qwen3.5-35b-a3b"),
prompt: Bun.argv[2]!,
});
for await (const part of fullStream) {
if (part.type === "reasoning-start") {
process.stdout.write("\u001b[2m\n ");
} else if (part.type === "reasoning-delta") {
process.stdout.write(part.text.replaceAll('\n', '\n '));
} else if (part.type === "reasoning-end") {
process.stdout.write("\n\u001b[22m");
} else if (part.type === "text-start") {
process.stdout.write("\n");
} else if (part.type === "text-delta") {
process.stdout.write(part.text);
} else if (part.type === "text-end") {
process.stdout.write("\n");
}
}
const reasoning = await reasoningText;
const response = await text;
Bun.file("reasoning.md").write(reasoning ?? "");
Bun.file("response.md").write(response);