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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.
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, docker, llm, homelab Overview Most agentgateway tutorials assume …
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View the full archive →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 …
agentgateway Standalone → Langfuse: Direct OTLP Tracing (No Collector)
I’ve already covered the production OTel Collector pattern for shipping agentgateway traces to Langfuse. This is the opposite end of the spectrum: the …
Langfuse Integration with agentgateway (OTel Collector Pattern) for cost controls, observability
agentgateway emits rich OpenTelemetry traces for every LLM request, tool call, and policy decision. This guide shows the production-grade way to forward those …
Self-Hosted Langfuse with Docker + kagent Integration
Running Langfuse as a self-hosted Docker stack gives you full control over your LLM observability data. This guide shows how to deploy it and integrate it with …
Running kagent on a kind Cluster with a Local vLLM + Qwen3 Backend
Running kagent on a kind Cluster with a Local vLLM + Qwen3 Backend By Sebastian Maniak Most kagent walkthroughs assume you’re pointing at OpenAI or …
Proxying All Your LLM Traffic Through agentgateway with Grok Build
Introduction If you’re like me, your AI tooling has probably grown into a sprawling mess of API keys: Claude Code reads .claude/.env, Cursor uses OpenAI …