Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
9 of 2647 articles
Learn how to build production monitoring and alerting for AI agent systems including latency tracking, error rate dashboards, token usage analytics, alerting pipelines, and SLA enforcement.
Master the art of debugging multi-agent systems using OpenAI's built-in tracing infrastructure to trace handoffs, profile tool calls, and identify bottlenecks in complex agent pipelines.
Build custom trace processors and exporters for the OpenAI Agents SDK to ship agent telemetry to Elasticsearch, Datadog, or any backend using TraceProvider, BatchTraceProcessor, and BackendSpanExporter.
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.
Integrate Anthropic, Google, Mistral, and other LLM providers into OpenAI's Agents SDK using LiteLLM's unified interface with LitellmModel, provider prefix notation, and cross-provider tracing.
Enable WebSocket transport in the OpenAI Agents SDK for persistent connections, reduced latency, and faster multi-turn agent interactions using set_default_openai_responses_transport.
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.
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.
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.
