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Rapidly scaling online storage to serve over 1 billion ChatGPT users
OpenAI's Habitat online storage platform now handles over 70 million requests per second and 500 PB of data for 1 billion users.
OpenAI details the evolution of Habitat, its online storage platform backing ChatGPT and other products, which began in mid-2024 as a Python client-side library over Azure Cosmos DB. Habitat now processes more than 70 million requests per second, serves over 500 petabytes of data across nearly 40 geographic regions, and supports over 1 billion users weekly. By mid-2025 the client library approach became brittle, so OpenAI moved Habitat into a standalone service to centralize deployments, observability, and multi-tenancy reliability. This is part one of a two-part series; a future post will cover read optimization and scaling the Azure Cosmos DB partnership.
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Meta now lets AI agents handle the boring parts of WhatsApp Business setup
Meta launched a WhatsApp Business Tools MCP server that lets AI agents like Claude or Cursor set up and manage WhatsApp Business messaging accounts.
Meta announced a WhatsApp Business Tools MCP server, a Model Context Protocol server that connects AI coding agents such as Claude, Cursor, Codex, or ChatGPT directly to the WhatsApp Business Platform. The agents can handle account creation, phone number verification, Cloud API registration, Terms of Service checks, messaging template creation/editing, and webhook testing. Meta's companion Social Technologies MCP can also discover API endpoints, search documentation, and troubleshoot errors. The launch extends Meta's existing MCP servers for ad management and app configuration monitoring.
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Agent-net Open Sources Webagent: A Go Harness That Turns Any Website into a Guarded AI Agent
Agent-net open-sourced Webagent, a Go harness turning websites into AI agents with code-enforced guardrails wrapping every tool call.
Agent-net released Webagent under Apache 2.0, a Go framework where a business fills in a declarative JSON spec, picks one provider for each of nine pluggable slots (retrieval, memory, guardrail, channel, secrets, presenter, model, action, observability), and runs webagent serve. Every tool the agent holds is wrapped by action.Guard so the chosen guardrail executes before any action runs and the model cannot bypass it. Live capabilities include OpenRouter/gateway LLM brains, MCP tools over Streamable HTTP, and Slack, WhatsApp, and HTTP channels; browser actions, OAuth-gated MCP, OTel export, and AgentNet identity/billing are not yet built. The project is v0 with a deferred-hardening list and cites arXiv 2511.19477 on an 85% versus 50% task-success gap attributed to architecture over model capability.
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Edge Case launches Guardian, an AI platform for tracking risk across autonomous systems
Edge Case launched Guardian, an AI platform creating a Digital Safety Twin to continuously track risk across autonomous and defense systems.
Edge Case launched Guardian, an AI-driven platform that fuses safety analysis, engineering data, and operational signals into a continuous Digital Safety Twin. It targets advanced autonomous platforms in commercial and defense markets, with six customer agreements signed at launch. The platform tracks hazards, mitigations, and source-linked evidence across the development lifecycle, shifting safety from one-time review to continuous capability.
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F5 enhances AI Gateway to control AI costs, access, and security
F5 integrated AI Gateway into its AI Security Platform, adding model routing, MCP governance, and guardrails, claiming up to 60% token spend reduction.
F5 announced AI Gateway enhancements combining a Model Gateway for cost optimization, an MCP Gateway for agent-to-tool access control, and AI Guardrails for prompt and response inspection. The company cited its 2026 State of Application Strategy Report finding 77% of organizations now treat inference as their dominant AI activity and manage an average of seven AI models. F5 claims smart routing, semantic caching, and GPU-aware load balancing can cut token spend by up to 60% without application changes. The gateway enforces budgets, model routing policies, and agent access controls centrally across SaaS, hybrid SaaS, and hybrid multicloud deployments, with air-gapped support planned.
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A10 Networks introduces AI Gateway to secure and manage enterprise AI
A10 Networks launches AI Gateway, a control plane for routing, cost management, and governance of enterprise AI agents and LLMs.
A10 Networks announced general availability of the A10 AI Gateway, a centralized control plane providing identity-based AI access policies, smart routing that matches request complexity to model capability, and per-request dollar cost tracking with per-team token budgets. The product enforces business-layer TPM/RPM rate limiting and integrates with A10's TrojAI and ThreatX AI security portfolio across the AI lifecycle. It runs entirely in the customer environment—on-premises, private cloud, or air-gapped—for full data sovereignty.
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