Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build multi-modal agents that process images, PDFs, and diagrams using Claude's vision capabilities. Learn how to send image data via the API, analyze documents, and combine vision with tool use.
Build comprehensive monitoring and analytics for AI agent APIs, covering structured request logging, error tracking with context, usage analytics dashboards, and alerting systems that catch agent failures before users notice.
Implement secure authentication for AI agent APIs using API keys for simple access, OAuth2 for delegated authorization, and JWT tokens for stateless verification. Learn token lifecycle management, scope-based permissions, and security best practices.
Learn how to measure and improve AI agent tool usage accuracy by logging tool calls, validating parameters, building accuracy benchmarks, and diagnosing common failure patterns.
Discover how to build resilient long-running agent workflows using durable execution engines like Temporal and Celery, with activity retries, saga patterns, and persistent state across process restarts.
Design and implement a model router that classifies query complexity and directs agent requests to the most cost-effective model. Build fallback chains, measure routing accuracy, and optimize per-query costs.
Configure CrewAI's three memory systems — short-term for session context, long-term for cross-session learning, and entity memory for tracking people and concepts — with storage backends and embedding options.
Master transport security for multi-agent systems including TLS configuration, mutual TLS authentication, encrypted message passing between agents, service mesh integration, and zero-trust networking principles.
Deploy LangGraph agents to production using LangGraph Cloud with API endpoints, cron triggers, monitoring, scaling strategies, and operational best practices for stateful agent workflows.
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