Agent Handoffs: Building Triage and Routing Systems
Master the handoff mechanism in the OpenAI Agents SDK — from basic handoffs to advanced triage systems with custom tool names, descriptions, and on_handoff callbacks.
13 min read
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AI Voice Agent Insights & Guides
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Agentic AI CI/CD: GitHub Actions for Automated Agent Testing and Deployment
Build CI/CD pipelines for agentic AI using GitHub Actions with prompt regression tests, LLM evaluation, canary deployments, and rollback strategies.
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Agentic AI Cost Optimization: LLM API Budgeting and Token Management
Reduce agentic AI costs by 50-80% with token budgeting, model routing, prompt caching, response truncation, batch processing, and cost monitoring.
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Building Agentic AI Data Pipelines: When ETL Meets LLM Extraction
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Agentic AI Database Design: PostgreSQL for Agent State and Conversation Memory
Design PostgreSQL schemas for agentic AI systems covering conversation storage, agent state machines, tool logs, and vector memory columns.
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Agentic AI Development Environment: VS Code, Docker, and GPU Setup Guide
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.
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Agentic AI Development: The Complete Roadmap for 2026
Master the full agentic AI development lifecycle from ideation to monitoring. A phase-by-phase roadmap with tech stack choices, team structures, and pitfalls.
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The Agentic AI Development Stack: Tools, Frameworks, and Infrastructure You Need
Comprehensive guide to the 2026 agentic AI tech stack — LLM providers, agent frameworks, vector DBs, observability, and deployment infrastructure compared.
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Agentic AI Development Patterns: Event Sourcing, CQRS, and Saga for Agents
Advanced architectural patterns for agentic AI — event sourcing for agent actions, CQRS for state management, and saga pattern for multi-agent workflows.
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