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AI Webhook Processor

backendBeginner365d access

₹99onwards

Receive webhook payloads, run them through an AI summarizer pipeline, and store structured results. Your first event-driven AI data pipeline.

Build and expose a webhook receiver that handles inbound HTTP POST payloads
Expose a local server to the internet using ngrok for testing
Build an event-driven AI pipeline: receive data → process with LLM → store result
Extract structured JSON output from LLM responses reliably

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Streaming Chat API Endpoint

backendBeginner365d access

₹99onwards

Build the server-side of a streaming chat — an SSE endpoint that proxies LLM chunks to the client in real time. Learn async generators, backpressure, and stream piping.

Understand the Server-Sent Events (SSE) protocol and its use cases
Build a streaming endpoint that proxies LLM response chunks in real time
Use Python async generators or Node.js streams for efficient chunk forwarding
Detect client disconnections and cancel upstream requests to avoid waste

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LLM Proxy API

backendBeginner365d access

₹99onwards

Build an API wrapper around OpenAI — add request logging, API key auth, response caching, and basic error handling. Your first AI-aware backend service.

Build a reverse proxy API that wraps a third-party LLM service
Implement API key authentication with middleware
Log structured request data (latency, tokens, model) to a database
Cache identical LLM requests using SHA-256 hashed keys in Redis

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