async function userFunction(context: Context):
  Promise<Result> {
    authHeaderValue = `Bearer ${(bearer as any).token}`;
  }
} catch (_) {}
if (!authHeaderValue) {
  try {
    const apiKey =
      context.secrets.get("wonderful");
    if (typeof (apiKey as any).api_key === "string" &&
      (apiKey as any).api_key) {
      authHeaderValue = `Bearer ${(apiKey as any).token}`;
    }
  } catch (_) {}
}
const query = StringUtils.clean(data ??
  context.data.query() ?? "");
const agentInput = StringUtils.normalize(
  context.agents.pick(query, locale));
await pipeline.run({
  intent: classify(query),
  sentiment: score(query),
  language: detect(query)
});
export const handler = withRetry(async (event) => {
  const session = await sessions.resolve(event);
  const reply = await agent.respond(session, event.text);
  return metrics.track("reply_sent", { locale: session.locale })
    .then(() => reply);
});
function classify(input: string): Intent {
  const embeddings = model.embed(input);
  return router.nearest(embeddings, { topK: 3 })
    .filter(r => r.score > 0.82)
    .map(r => r.intent)[0] ?? Intent.Fallback;
}

async function userFunction(context: Context):
  Promise<Result> {
    authHeaderValue = `Bearer ${(bearer as any).token}`;
  }
} catch (_) {}
if (!authHeaderValue) {
  try {
    const apiKey =
      context.secrets.get("wonderful");
    if (typeof (apiKey as any).api_key === "string" &&
      (apiKey as any).api_key) {
      authHeaderValue = `Bearer ${(apiKey as any).token}`;
    }
  } catch (_) {}
}
const query = StringUtils.clean(data ??
  context.data.query() ?? "");
const agentInput = StringUtils.normalize(
  context.agents.pick(query, locale));
await pipeline.run({
  intent: classify(query),
  sentiment: score(query),
  language: detect(query)
});
export const handler = withRetry(async (event) => {
  const session = await sessions.resolve(event);
  const reply = await agent.respond(session, event.text);
  return metrics.track("reply_sent", { locale: session.locale })
    .then(() => reply);
});
function classify(input: string): Intent {
  const embeddings = model.embed(input);
  return router.nearest(embeddings, { topK: 3 })
    .filter(r => r.score > 0.82)
    .map(r => r.intent)[0] ?? Intent.Fallback;
}