Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build a comprehensive testing and QA pipeline for voice agents covering audio simulation, STT accuracy measurement, TTS quality evaluation, end-to-end conversation testing, and regression monitoring.
A deep dive into every parameter of the OpenAI Agents SDK Agent class — from instructions and model settings to dynamic instructions, cloning, and advanced configuration patterns.
Learn how to implement human-in-the-loop approval gates in the OpenAI Agents SDK using needs_approval, MCPToolApprovalRequest, and RunState to control sensitive agent operations.
Learn how to build multi-layer compliance guardrails for enterprise AI agent systems, including audit trails via tracing, data residency enforcement, role-based access control, and regulatory reporting.
Understand the core architecture of voice AI agents — STT to Agent to TTS pipelines, the VoicePipeline SDK approach vs the Realtime API WebRTC approach, and when to use each for production voice applications.
Step-by-step tutorial to build a working voice agent using OpenAI's VoicePipeline — from installing dependencies and capturing microphone audio to streaming agent responses through your speakers.
Reduce agentic AI costs by 50-80% with token budgeting, model routing, prompt caching, response truncation, batch processing, and cost monitoring.
Use MCP prompt resources to dynamically load and parameterize agent instructions from external servers, enabling centralized prompt management with list_prompts and get_prompt.
Build multi-language voice agents that detect the caller's language, perform agent handoffs between language-specific specialists, and maintain context across language transitions.
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