Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Ai agent platform export traces to data warehouse: learn how to use add_trace_processor() to export OpenAI Agents SDK traces to Langfuse, Weights and Biases, Arize, and custom observability platforms with production-ready exporter patterns.
Build evaluation pipelines for chat agents to measure response quality, A/B test different prompts, compare model performance, and systematically improve agent behavior over time.
Build low-latency browser-based voice agents using WebRTC peer connections and OpenAI's Realtime API — from obtaining ephemeral tokens to establishing audio tracks and handling speech-to-speech interactions.
Comprehensive security guide for agentic AI covering prompt injection, tool authorization, data exfiltration, excessive agency, and mitigation strategies.
Reduce voice agent latency to sub-second response times by optimizing STT, LLM inference, TTS pipelines, using streaming, caching, and predictive techniques.
Learn proven Kubernetes deployment patterns for agentic AI microservices including pod design, service mesh, HPA scaling, and health checks for LLM agents.
Deep dive into HandoffInputData, input_filter functions, built-in handoff filters, custom filtering strategies, and input_type with Pydantic models for structured handoff metadata in the OpenAI Agents SDK.
A complete end-to-end tutorial building a production-grade customer support system with triage, billing, refund, and FAQ agents using handoffs, RECOMMENDED_PROMPT_PREFIX, and prompt_with_handoff_instructions in the OpenAI Agents SDK.
Dramatically reduce agent startup latency by caching MCP tool definitions with cache_tools_list, implementing cache invalidation strategies, and benchmarking the performance gains in production agents.
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