Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Learn how to choose and implement the right streaming protocol for LLM applications. Covers Server-Sent Events, WebSockets, and HTTP chunked transfer with FastAPI code examples and error handling strategies.
Learn how to write effective JSON Schema tool definitions that help LLMs understand parameters, constraints, and expected inputs. Covers parameter types, descriptions, required vs optional fields, nested objects, and enums.
A practical guide to containerizing, deploying, scaling, and monitoring AI agents as microservices. Covers Docker, Kubernetes, health checks, and production observability.
Digital twin technology lets manufacturers simulate, monitor, and optimize entire production lines in real time. Learn how it cuts downtime by 45% and boosts output.
Master disambiguation design patterns for conversational AI agents that present options clearly, narrow choices with follow-up criteria, and guide users to the right selection.
Build a comprehensive disaster recovery plan for AI agent systems covering backup strategies, RTO and RPO targets, automated failover, runbook design, and business continuity practices that keep your agents running through infrastructure failures.
Build an AI-powered Discord bot that acts as a server assistant using TypeScript. Covers discord.js setup, slash command registration, conversation context management, tool integration, and permission-based access control.
Learn how to build distributed memory for multi-agent systems using Redis, shared databases, event sourcing, and consistency patterns — enabling multiple agent instances to collaborate with shared state.
Implement distributed tracing across AI agent microservices using OpenTelemetry and Jaeger. Learn trace propagation, span design, context injection, and how to visualize end-to-end agent request flows.
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