Tag: AI Agents
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Stateless MCP in 2026: What Changed and How Should Agent Developers Migrate?
The 2026-07-28 MCP specification removes protocol sessions and the required initialization handshake. This guide explains what changed, how to migrate, and how stateless MCP affects scalable multi-model agents.
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How to Stop AI Agents From Blowing Your API Budget in 2026
AI agents can overspend through retries, tool loops and oversized context. Learn how to use hard caps, separate API keys, model escalation and cost-per-task metrics to control LLM API costs in 2026.
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How to Use LLMFly AI With Magpie for Codex, Claude Code, and Other AI Agents
A practical 2026 guide to adding LLMFly AI as a custom Magpie provider, selecting models for different coding agents, and testing routing, keys, costs, and fallbacks.
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GPT-6 Astra vs GPT-5.6 Sol for AI Agents: Is the 2.5× API Price Worth It?
Compare GPT-6 Astra vs GPT-5.6 Sol for AI agents: API pricing, computer use, task cost, migration changes, routing, and when Astra is worth it.
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MCP Security for Production AI Agents: What the Best LLM API Providers in 2026 Must Get Right
Secure production MCP agents with audience-bound tokens, least-privilege tools, approval gates, prompt-injection defenses, data boundaries, and audit logs.
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Multi-Model AI Routing for Agents: Failover, Cost Control, and Model Portability
Build reliable multi-model AI routing with workload tiers, bounded retries, failover, cost controls, validation, and production observability.