Self-hosted LLM observability

Self-hosted LLM observability for teams that need control

Foxhound helps teams observe and debug LLM-powered agent systems while keeping data, workflows, and infrastructure in their own environment.

Why teams switch

A lot of teams want observability without sending operational data into another hosted vendor surface. Foxhound is built for that requirement: self-hosted deployment and tooling focused on how agent systems behave in production.

Keep data residency simple

Self-hosting gives teams more control over traces, replay data, audit workflows, and infrastructure boundaries.

Retain deep debugging workflows

Infrastructure control does not need to mean bare-bones visibility. Foxhound combines self-hosting with replay, run diff, and production-focused trace analysis.

Fit internal security posture

Foxhound fits teams that care about infrastructure control, auditability, and avoiding unnecessary vendor lock-in.

Frequently asked questions

Why choose self-hosted LLM observability?

Usually because the team wants stronger control over data, infrastructure, reviewability, and vendor dependency as AI systems become core to the product.

Does self-hosting mean weaker observability?

It should not. The goal is to keep deep debugging and operational visibility while retaining infrastructure ownership.

Who is this best for?

Teams running business-critical agent systems, regulated workloads, or security-sensitive deployments often care most about this model.