
v0.7.0
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
Consider these scenariosAn MCP server quietly returning extra tool descriptionsPrompt injection through a calendar inviteAn Agent invokes a tool that the principal should not have access toCost overruns It isn't the model that failed. It isn't the tool that failed. What failed
53% of MCP servers use static API keys. Learn the four governance primitives your team needs to control shadow MCP, credentials, and audit trails in production.
Learn what an AI agent gateway is, how it differs from an LLM gateway, and why autonomous agents need centralized routing, guardrails, and observability.
AgentOps is the operational layer for AI agents in production. Learn what changes when agents replace single LLM calls, what breaks, and how to control autonomous systems.
GitHub Copilot best practices for enterprise teams: credential management, cost controls, guardrails, and provider fallbacks that scale.
The harness is converging. Context is what separates teams. A platform team's guide to owning Claude Code, Cursor, and Codex across your engineering org.
coding agents need context to be useful. skills registry lets teams author skills once, review and version them, and sync to claude code, cursor, and codex.
The first agent is almost always a success story. A well-scoped task, a small team, clear ownership, everyone watching it closely. It works. Leadership gets excited. More agents get approved.And somewhere between agent five and agent fifty, the wheels come off.This is not a warning about AI
n8n best practices for teams running AI workflows in production: credential management, cost controls, observability, guardrails, and provider fallbacks.
Portkey's mission has always been to help teams run AI in production reliably, with full governance and visibility. We spent the last few years building that stack for LLM calls. Thousands of teams run on it today, processing over 1 trillion tokens every day.
Deploy OpenAI Codex at scale with best practices for cost control, credential management, observability, guardrails, and provider resilience.
AI agent governance goes beyond policies. Learn the five pillars for controlling autonomous, multi-step agent behavior in production.
Learn how to set semantic caching thresholds, manage TTL, handle multi-turn queries, and monitor silent failures in production LLM apps.
AI agents are now production-critical. Learn what enterprises need in an AIOps platform built for LLMs, and why Portkey leads the field.
In March 2026, Anthropic started throttling Claude Code sessions during peak hours. Max plan users paying $200 a month were burning through their five-hour windows in under 20 minutes. Anthropic confirmed that they were intentionally adjusting session limits to manage growing demand.
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