One Local API for Your AI Tools

Count the places a model credential lives on your machine. A shell profile, a dotenv file in three project directories, a scheduled job that exports it inline, a scratch file you pasted it into once to test something. Every copy is a thing you have to find again when a key has to be rotated, and a thing you cannot fully account for when someone asks what has access to what.

The fix is not better secret hygiene in five places. It is one place. A single local service owns the connection to the model, and everything else on the machine talks to that service over plain HTTP.

Keys are the visible part of the sprawl

Credentials get the attention because a leaked key is a story. The quieter cost is that every script also carries its own copy of the client code, and those copies drift.

• Client libraries: Five scripts written across a year pull in three different SDK versions, each with its own idea of how streaming, timeouts, and errors work.
• Retry logic: Every one of them handles a rate limit differently, usually badly, usually written in the ten minutes after it first happened.
• Model names: Pinned in each file. When a better model ships you go find them all, and you miss one.
• Billing: Work is spread across whatever accounts happened to be handy, so nobody can say what a given workflow costs.

None of this is hard to fix in any single script. That is exactly why it never gets fixed. It is cheaper each time to paste the key in again than to build the thing that would have made it unnecessary.

What a local service owns instead

Move the connection into one process and the shape of the problem changes. That process is the only thing on the machine that knows how to reach a model. It is the only thing holding, or in the better case not holding, credentials. Everything else makes an HTTP request to an address on loopback and gets an answer back.

Your scripts stop being AI clients. They become HTTP clients, which is a thing every language already does well, and a thing you already know how to debug. A curl command becomes a complete reproduction of what your job is doing. That is worth more than it sounds when something is failing at three in the morning.

The integration is one line

This is the idea behind Path. It runs as one process on your own machine and serves an OpenAI-compatible endpoint in front of the Claude Code and Codex CLIs that are already signed in there. Install it, sign in once, run it, and it prints a base URL on 127.0.0.1.

If your code already talks to a model provider, the change is the base URL and nothing else. The official SDKs work unmodified, because the wire shape is the one they already speak. Anthropic's own messages endpoint is served on the same port, so whichever SDK you happen to use is also a one-line change. The model string splits at the slash: the part before it picks which CLI runs the request, and the rest is handed to that CLI as written, which means new model aliases work the day they ship instead of the day a library adds them.

There is a subtler win in there. Because the CLIs keep their own conversation state, a client that threads a session identifier gets their native context handling rather than resending a flattened transcript on every turn.

Loopback changes the security question

A service on 127.0.0.1 is reachable only from the machine it runs on. That single fact removes most of the questions you would otherwise have to answer. There is no inbound port to firewall, no TLS to terminate, no shared secret to distribute to your own scripts. Path requires no API key by default for exactly this reason, and serving it beyond the machine is an explicit flag rather than a default you have to notice and turn off.

It also does not centralize your vendor credentials so much as make them unnecessary to centralize. The logins stay in each CLI's own credential store, where they already were. The local service shells out as you. It has no copy of a vendor token to lose. A run's working directory has to resolve inside a workspace root you named, and stray API keys are stripped out of the environment a run inherits, so a prompt cannot talk the tool into reading somewhere you did not intend.

Plan for the day it breaks

A local service fails in ways a hosted API does not, and the failures are quiet. A CLI logs itself out. The service is running as a different user than the one that is signed in. The daemon in memory is a build behind the binary on disk. Every one of these presents to your application as the same unhelpful error.

So the diagnostic matters as much as the feature. Path ships a doctor command that checks the Node version, the effective user, both vendor CLIs and their auth state, file permissions, clock skew, and workspace roots, then prints the command that fixes whatever is wrong. It can also execute a single run with no server involved at all, which is the fastest way to tell "the vendor CLI is broken" apart from "the local service is broken." Those two look identical from the outside and have nothing in common as fixes.

What this does not solve

A local API is bounded by the machine it runs on. If your laptop is asleep when a scheduled job fires, the job fails. Anything that needs to be always on needs a machine that is always on, which is a small server or a spare Mac in a closet, and that is a real piece of infrastructure you now own.

It also raises no limits. Throughput is whatever your subscription allows. When the window is spent, requests wait. And whether a given consumer plan permits this kind of use is the vendor's call, it can change, and as the plan holder it is your call to make. We would rather say that plainly than let you find out later.

The takeaway

The argument for a local API is not that it is clever. It is that it collapses a dozen small, undocumented integrations into one documented one. You get a single place where credentials live, a single place where model routing is decided, and a single process to restart when something is wrong. If you are running more than two or three things against a model on the same machine, that consolidation pays for itself well before the security argument does.

If you want to talk through what that looks like on your own setup, get in touch.