Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Design and build an internal marketplace where teams can discover, provision, and manage AI agents. Covers catalog design, self-service provisioning workflows, usage tracking, lifecycle management, and governance guardrails.
Learn how to install the OpenAI Python SDK, configure your API key, make your first chat completion request, and parse the response object. A complete beginner-friendly walkthrough.
Learn how to implement the Model protocol in OpenAI Agents SDK to connect any LLM — Anthropic Claude, local Ollama models, or custom endpoints — as your agent's reasoning engine with full tool-calling support.
Understand the different types of prompt injection attacks targeting AI agents, see real-world examples of direct and indirect injection, and learn why agent security must be a first-class engineering concern.
The open-source LLM observability platform Langfuse secures major funding as enterprises demand better monitoring and debugging tools for production AI agents.
A new Agent-to-Agent (A2A) communication protocol aims to create interoperability standards for AI agents across platforms, potentially becoming the foundational infrastructure layer for multi-agent systems.
Digital twin technology lets manufacturers simulate, monitor, and optimize entire production lines in real time. Learn how it cuts downtime by 45% and boosts output.
Learn how to securely store and manage API keys, credentials, and tokens for AI agents using HashiCorp Vault, AWS Secrets Manager, dynamic secrets, automatic rotation, and least-privilege access patterns.
Implement and tune multi-signal memory retrieval for AI agents using recency, relevance, and importance scoring functions with combined ranking and parameter tuning strategies.
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