Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Explore the emerging patterns shaping the future of agentic AI, from agent-to-agent communication protocols and autonomous ecosystems to multi-modal agents, evaluation standards, and trust architectures.
Connect agents to remote MCP tool servers using MCPServerStreamableHTTP with authentication headers, timeout configuration, retry policies, tool caching, and production deployment patterns.
Step-by-step guide to setting up your agentic AI dev environment — VS Code extensions, Docker Compose for LLM services, GPU passthrough, and debugging config.
Comprehensive testing strategy for agentic AI — unit testing tools and prompts, integration testing agent loops, E2E multi-agent flows, and mock LLM patterns.
Learn how to build a comprehensive testing and QA pipeline for voice agents, covering audio simulation, accuracy measurement, regression testing, and production monitoring.
Learn how to build browser automation agents with the OpenAI Agents SDK ComputerTool, implementing the AsyncComputer interface for screenshot capture, mouse clicks, and keyboard input.
Design and build a multi-tenant AI agent SaaS platform with user isolation, API key management, token metering, billing integration, and scalable infrastructure using the OpenAI Agents SDK.
Learn how to manage conversation history across agent boundaries using nest_handoff_history, per-handoff overrides, CONVERSATION HISTORY blocks, and handoff_history_mapper in the OpenAI Agents SDK.
Procurement and supplier questions often hit the wrong people first. Learn how AI chat and voice agents triage vendor inquiries before they reach operations or finance.
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