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Sebastian Maniak on running AI agents in production — agentgateway, kagent, MCP, A2A, and the Kubernetes plumbing that keeps them fast, observable, and safe.
Hard Spend Limits for LLM Traffic: AI Budgets in Enterprise AgentGateway v2026.6.3
Enterprise AgentGateway v2026.6.3 shipped on July 1st with a changelog line that FinOps-minded platform teams have been waiting for: Enterprise Budgets and Dimensions. Until now, “budgeting” LLM traffic …
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View the full archive →Suspend & Resume Stateful Agents: kagent on Agent Substrate with kind
Suspend & Resume Stateful Agents: kagent on Agent Substrate with kind By Sebastian Maniak Agent sessions are bursty. A user asks a question, the agent …
agentgateway Standalone: A Cost & Tokenomics Dashboard in One Command
Introduction You’re routing LLM traffic through a gateway. But do you actually know what it costs? Not the rough monthly invoice from your provider — the …
Do AgentGateway Tool Modes and Headroom Stack? Measuring Two Token-Saving Layers Together
In a previous post I showed that Enterprise agentgateway can cut your LLM bill by changing how GitHub’s MCP tools are presented to the model — its …
GitHub MCP Token Economics: Why Search Mode Cuts Your LLM Bill by ~60%
Every time an LLM talks to an MCP server, it has to be told what tools exist. That tool catalog — the JSON schema of every tool, its parameters, and …
Running agentgateway on Proxmox (LXC): the Everything MCP server end-to-end
Running agentgateway on Proxmox (LXC): the Everything MCP server end-to-end Date: June 2026 Author: Sebastian Maniak Tags: agentgateway, mcp, proxmox, lxc, …
One-Script Deployment: agentgateway + Self-Hosted Langfuse on Kubernetes for LLM Cost Analysis
Running production-grade LLM gateways with full observability usually involves many manual steps across Helm charts, CRDs, tracing configuration, and UI key …