Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Learn how to compile AI models to WebAssembly for browser-based agent inference, covering WASM compilation, model loading strategies, browser constraints, and progressive enhancement patterns.
Build robust webhook systems for AI agent services, covering webhook design patterns, delivery guarantees with retries, payload signature verification, and event-driven architectures that keep agents reactive and loosely coupled.
Build a robust integration framework for an AI agent platform that connects agents to Salesforce, HubSpot, Slack, and other third-party services through webhooks, OAuth flows, and a configurable data mapping layer.
Build secure webhook receiver endpoints for AI agents with payload validation, signature verification, idempotency guarantees, and retry-safe processing using FastAPI.
Implement webhook signature verification to secure inbound events for AI agents. Covers HMAC-SHA256 signatures, timestamp validation, replay attack prevention, and production-ready FastAPI middleware.
Master WebRTC for voice AI agents — learn peer connections, media streams, STUN/TURN servers, and browser APIs to build real-time audio communication between users and AI agents.
Build bidirectional WebSocket endpoints for AI agents in FastAPI. Learn connection lifecycle management, message routing, heartbeat mechanisms, and handling multiple concurrent agent sessions.
Learn how to design WebSocket-based architectures for AI agents, covering connection lifecycle management, protocol framing, heartbeat mechanisms, and automatic reconnection strategies for production reliability.
Build real-time AI agent interfaces using WebSocket connections in FastAPI with connection lifecycle management, heartbeat mechanisms, and structured message protocols.
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