Topic
Webhooks & Async Jobs for Long-Running LLM Tasks
12 posts on webhooks & async jobs for long-running llm tasks — part of api integration on the n4n AI blog.
Webhooks for batch inference: what to know before building
Build reliable webhooks batch inference: define contracts, sign callbacks, handle retries idempotently, and reconcile with polling to avoid LLM pipeline gaps.
Queueing LLM requests with BullMQ for async processing
Learn how to build a resilient bullmq llm request queue in Node.js to process long-running LLM jobs asynchronously with retries, backoff, and webhooks.
How to retry failed webhook deliveries for LLM jobs
Practical guide for engineers on how to retry failed webhook delivery llm callbacks reliably using idempotency, backoff, and dead-letter queues.
Handling long-running LLM tasks without blocking requests
Learn how to handle long running LLM tasks asynchronously using job queues and webhooks to keep your API responsive and resilient to provider latency.
Designing idempotent webhook handlers for LLM job callbacks
Practical guide to building an idempotent webhook handler llm callback system: dedupe strategies, concurrency control, replay testing, and pitfalls.
Building a webhook receiver for async LLM completions
Step-by-step tutorial for building a secure webhook receiver for async LLM completions using Python and FastAPI, with runnable code and verification.
Using webhooks for long-running LLM batch jobs
Learn how to implement webhooks for long-running LLM batch jobs: upload batches, watch status, and receive completion callbacks with signed HTTP posts.
How to poll vs webhook for long-running LLM tasks
A head-to-head guide on polling vs webhooks for long-running LLM tasks covering cost, latency, ergonomics, and limits, plus a use-case verdict.
Async LLM tasks: webhooks, polling, or server-sent events
Compare webhooks vs polling vs sse llm for async inference jobs: capabilities, cost, latency, ergonomics, and limits to pick the right integration pattern.
Async LLM jobs with Celery and Redis
Hands-on tutorial for building async LLM jobs with Celery and Redis in Python: set up workers, dispatch tasks, handle retries, and store results.
Async job queues for LLM API calls: a design pattern
Practical guide to building an async job queue for LLM API calls: job schema, worker patterns, retries, fallback, and pitfalls for reliable inference.
Async job patterns for LLM APIs in Node.js
Hands-on tutorial: build async job patterns nodejs llm using BullMQ and webhooks to manage long-running inference calls reliably in production.
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