answerline

Python client for the AnswerLine API — structured JSON answers from AI assistants (ChatGPT, Perplexity, Gemini, Copilot, Grok) and Google surfaces (Search, News, AI Overview, AI Mode), on httpx.

pip install answerline

from answerline import Client

with Client("sk_...") as client:
    # Synchronous monitor calls: one method per engine (chatgpt, perplexity, gemini,
    # copilot, grok, aimode, google, google_news), or client.monitor(engine, **body).
    answer = client.monitor.chatgpt(prompt="Best CRM for a 5-person team?", country="US")

    # Async tasks: create, poll, or run to a terminal status.
    task = client.async_tasks.run(
        "CHATGPT",
        {"prompt": "Best CRM for a 5-person team?", "country": "US"},
        idempotency_key="crm-1",
    )

    client.credits()  # {"remaining", "perCycle", "cycleResetsAt"}

AsyncClient has the same methods, awaitable. async_tasks.create_batch submits up to 500 tasks in one call; async_tasks.wait polls a task to COMPLETED or FAILED; async_tasks.status and async_tasks.clear_queue manage the queue. Prefer a webhook (webhook_url= on the task) over polling for many tasks — verify deliveries with verify_webhook(body, header, secret) against the Webhook-Signature header.

Calls raise ApiError (status, stable code, parsed body, and meta with the rate-limit, concurrency, credit and request-id headers); transport failures raise TimeoutError or ConnectionError. 429s and safely replayable failures are retried with jittered backoff; timeout, sync_timeout, max_retries and http_client are constructor options.