Leon Serfaty
54 lines
2.2 KiB
TypeScript
54 lines
2.2 KiB
TypeScript
import { z } from "zod";
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import { openai, SCRIPT_MODEL } from "@/lib/ai/openai";
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import type { StructuredScript, TokenUsage } from "@/lib/ai/types";
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export type RepurposeFormat = "blog" | "social_thread" | "newsletter";
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const FORMAT_PROMPTS: Record<RepurposeFormat, string> = {
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blog: "Write an engaging, SEO-friendly blog post based on this episode. Include a compelling title and well-structured markdown body with headings and a short conclusion.",
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social_thread:
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"Write a punchy social thread (6–10 posts, numbered) summarizing the episode's best insights. Start with a strong hook. Put the whole thread in the markdown body.",
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newsletter:
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"Write a friendly email newsletter edition about this episode: a subject line as the title, a short intro, 3–4 key takeaways as bullets, and a call-to-action to listen. Markdown body.",
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};
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const outputSchema = z.object({ title: z.string().min(1), body: z.string().min(1) });
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export type RepurposedOutput = z.infer<typeof outputSchema>;
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function scriptToText(script: StructuredScript): string {
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return script.sections
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.map((s) => `## ${s.title}\n` + s.turns.map((t) => t.text).join("\n"))
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.join("\n\n");
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}
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export async function repurposeScript(
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script: StructuredScript,
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format: RepurposeFormat
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): Promise<{ content: RepurposedOutput; usage: TokenUsage }> {
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const transcript = scriptToText(script).slice(0, 9000);
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const res = await openai().chat.completions.create({
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model: SCRIPT_MODEL,
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messages: [
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{
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role: "system",
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content:
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"You are a content marketer who repurposes podcast episodes into other formats. Return STRICT JSON: { \"title\": string, \"body\": string } where body is markdown.",
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},
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{
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role: "user",
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content: `${FORMAT_PROMPTS[format]}\n\nEpisode title: ${script.title}\n\nTranscript:\n${transcript}`,
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},
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],
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response_format: { type: "json_object" },
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temperature: 0.7,
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});
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const content = outputSchema.parse(JSON.parse(res.choices[0]?.message?.content ?? "{}"));
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return {
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content,
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usage: {
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inputTokens: res.usage?.prompt_tokens ?? 0,
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outputTokens: res.usage?.completion_tokens ?? 0,
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},
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};
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}
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