TypeScript SDK: Querying

const result = await client.query({
  query: "What is ACME's Q4 revenue?",
  mode: "chat",               // "chat" | "expert" | "brainstorm" | "context" | "raw_facts"
  depth: "thinking",          // "basic" | "thinking" | "research"
  model: "gpt-5.2",
  sessionId: "sess_abc",
  maintainContext: true,
  includeSummary: true,
  webSearchEnabled: false,
  conversationUploadIds: ["upload_123"],
});

result.summary;       // "ACME Corp reported $50M in Q4 2025..."
result.session_id;    // "sess_abc" — echoed back for multi-turn
result.total_facts;   // 12
result.sources;       // [{ title, chunk_id, score, ... }, ...]
result.entities;      // ["ACME Corp", "Jane Smith"]

for await (const token of client.queryStream({ query: "Summarize ACME's year" })) {
  process.stdout.write(token);
}

for await (const event of client.queryEvents({ query: "..." })) {
  switch (event.type) {
    case "progress": {
      const d = event.data as { stage: string; step: number; total_steps: number };
      console.log(`[${d.step}/${d.total_steps}] ${d.stage}`);
      break;
    }
    case "content": {
      const d = event.data as { delta: string };
      process.stdout.write(d.delta);
      break;
    }
    case "sources": {
      const d = event.data as { sources: Array<{ title: string }> };
      console.log("\nSources:", d.sources.map((s) => s.title));
      break;
    }
    case "done":
      return;
    case "error": {
      const d = event.data as { message: string };
      throw new Error(d.message);
    }
  }
}