Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
Latest analysis
Reduce AI agent costs by 60-80% using token tracking, prompt caching with prompt_cache_retention, model routing, context truncation, and real-time cost dashboards with the OpenAI Agents SDK.
Learn how to use the trace() context manager, custom_span(), and manual span lifecycle to build detailed, hierarchical trace visualizations for complex multi-step agent workflows.
Learn how to choose the right OpenAI model for each agent in your system, comparing GPT-4.1, GPT-5, and GPT-5-mini across cost, latency, reasoning capability, and tool-use accuracy.
Connect your AI voice agents to real phone systems using SIP, Twilio, and WebSocket transport with the OpenAI Realtime API for inbound and outbound call handling.
Understand the internal agent loop that powers the OpenAI Agents SDK. Learn how agents cycle through LLM calls, tool execution, handoffs, and final output generation.
Build a HIPAA-conscious voice agent for medical appointment scheduling with patient verification, EHR integration, and healthcare-specific conversation flows.
Compare NATS, Kafka, and RabbitMQ for agentic AI workloads. Learn async tool execution, event-driven agents, and dead letter queue patterns.
Use MCPServerManager to orchestrate multiple MCP server connections with automatic failure detection, reconnection strategies, and health monitoring using active_servers, failed_servers, and drop_failed_servers.
Build a complete voice-powered customer support agent with triage, billing, refund, and FAQ handling using OpenAI Realtime API, tool integration, and session persistence.
Get notified when we publish new articles on AI voice agents, automation, and industry insights. No spam, unsubscribe anytime.
Try our live demo -- no signup required. Talk to an AI voice agent right now.
© 2026 CallSphere Inc. All rights reserved.
Made within San Francisco
