# Run Your Own LLM Proxy: HN Debate on Visibility

> Published 2026-10-19 · https://www.promptzone.com/arif_lefevre/run-your-own-llm-proxy-hn-debate-on-visibility-145e

A [Hacker News thread](https://jrdsgl.com/if-you-dont-run-your-own-llm-proxy-how-the-fuck-do-you-even-know-whats-going-on/) titled "If you don't run your own LLM proxy, how do you know whats going on?" reached 206 points and 149 comments. The discussion centers on the loss of visibility when teams route LLM calls through third-party services.

## What Running Your Own LLM Proxy Means

An LLM proxy sits between application code and model providers. It logs every prompt, response, token count, latency, and error code in real time. Self-hosted versions store these records locally instead of sending them to an external dashboard.

Teams that skip this step rely on provider logs or third-party aggregators. Those sources often omit raw request bodies or apply retention limits.

## Core Technical Setup

Most implementations use a lightweight server that accepts OpenAI-compatible requests and forwards them. Popular open-source options include LiteLLM and custom FastAPI wrappers. Each request is captured before forwarding and written to a local database or log file.

The proxy can enforce rate limits, add caching layers, and redact sensitive fields without changing application code.

## Numbers from the Thread

Commenters reported specific gaps:
- Third-party proxies dropped full prompt text after 30 days in several cases.
- One team discovered a 4× token overcount only after switching to local logging.
- Average setup time cited for a basic LiteLLM instance was under two hours on a single VPS.

## Pros and Cons

**Pros**
- Complete request and response capture with no retention policy.
- Ability to replay failed calls for debugging.
- On-premise storage satisfies strict data-residency rules.

**Cons**
- Additional infrastructure to maintain and secure.
- No built-in collaboration features found in commercial observability platforms.
- Requires separate alerting setup for anomalies.

## Alternatives and Comparison

| Approach              | Request Logging | Data Retention | Setup Time | Cost Model      |
|-----------------------|-----------------|----------------|------------|-----------------|
| Third-party proxy     | Partial         | 30 days        | Minutes    | Per-token fees  |
| Self-hosted LiteLLM   | Full            | Unlimited      | 1-2 hours  | Server only     |
| Provider console only | Metadata        | 90 days        | None       | Included        |

LiteLLM offers the closest drop-in replacement for hosted proxies while keeping logs local. Provider consoles give only summary metrics and lack prompt-level detail.

## Who Should Run One

Teams handling production LLM traffic with compliance requirements benefit most. Developers debugging token usage or prompt drift also gain immediate value. Solo projects or early prototypes can continue using hosted dashboards without measurable loss.

## Practical Next Steps

Install LiteLLM via pip, point your application base URL at the proxy, and enable the built-in logging middleware. Add a simple SQLite or Postgres sink for persistence. Test with a small batch of calls before scaling.

> **Bottom line:** Without a self-hosted proxy, teams operate with incomplete visibility into every LLM interaction.

Self-hosted proxies are becoming standard infrastructure for any workload where request history directly affects cost control or audit requirements.