starport
Skill1 starsChanged 2 months agoMITView on GitHub
Run and operate a self-hosted Starport LLM inference gateway. Use when a task must install Starport, start a gateway, answer model catalog questions, point a harness or SDK at the gateway, or diagnose a deployment.
- Reads credentials
- Installs packages
In this repository9 other files it gives its agents.
- AGENTS.mdAGENTS.md
- autoreview/AGENTS.mdAGENTS.md
- autoreviewSkill
- codex-delegationSkill
- goagoSkill
- model-selectionSkill
- plansSkill
- technical-writingSkill
- use-modern-goSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Keep the two credential kinds separate.
- Distinctive: line 48
Wait for readiness before the first request:
- Distinctive: line 71
Use the printed gateway API key as the bearer token.
- Very specific: line 116
Run starport agent setup after a CLI upgrade to reinstall this skill.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Starport
Starport is a self-hosted LLM inference gateway. It serves OpenAI-compatible
routes at /v1 and OpenRouter-compatible routes at /api/v1. One gateway
routes requests across every provider in its catalog and picks routes by
price, latency, or an explicit order.
Keep the two credential kinds separate. A gateway API key authenticates a client to Starport. A provider credential pays a provider. Never use one where the other belongs.
Install
Install the released cask on macOS or Linux:
brew install agentstation/tap/starport
starport --versionGitHub Releases at agentstation/starport carries checksummed archives for
macOS, Linux, and Windows.
Start a development gateway
Export one provider credential, then start an isolated gateway:
export OPENAI_API_KEY="replace-with-provider-inference-key"
starport dev --no-openThe command starts a loopback gateway on port 8080 with in-memory state.
It prints one temporary gateway API key and a
one-time console launch link. Add --no-open to print the link instead of
opening a browser, which fits an agent session. The gateway blocks the terminal,
so run it in a background process and keep it running.
Wait for readiness before the first request:
curl --fail http://127.0.0.1:8080/health/readyStart a durable gateway
For state that survives restarts, initialize once and then serve:
starport init
starport servestarport init writes local configuration, creates encrypted storage, and
prints the first gateway API key once. Store that key: no later command
prints it again. When a browser must reach the console without a launch
link, it presents this machine's local admin token instead.
starport auth token --copy puts that token on the clipboard.
Point a client at the gateway
Use the printed gateway API key as the bearer token.
- OpenAI SDK or harness: base URL
http://127.0.0.1:8080/v1. - OpenRouter SDK or harness: base URL
http://127.0.0.1:8080/api/v1.
export STARPORT_API_KEY="replace-with-gateway-api-key"
curl --fail-with-body http://127.0.0.1:8080/v1/chat/completions \
-H "Authorization: Bearer $STARPORT_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/gpt-4o-mini","messages":[{"role":"user","content":"ping"}]}'Model IDs use the provider/model form. A bare model name is not routable.
Answer catalog questions
The CLI answers catalog questions offline from the embedded catalog. Use
--json for machine-readable output.
starport models search gpt-4o --json
starport models show openai/gpt-4o-mini --jsonmodels search matches every query word against model IDs, names, and
authors. It answers a compact summary: ID, name, context length, and token
prices. models show answers the full projection for one exact model ID.
That projection carries prices, capabilities, modalities, and every routable
provider offering.
Diagnose a deployment
starport doctor --json
starport config validate
starport config show --jsonstarport doctor runs read-only checks on paths, configuration, the master
key, the catalog, and provider adapters. Add --probe to inspect configured
storage and API keys in read-only mode.
Read more
- Run
starport agent setupafter a CLI upgrade to reinstall this skill. starport --helplists every command.- The repository README at
agentstation/starportdocuments the quick start. docs/OPERATOR-GUIDE.mdin that repository documents operations: budgets, presets, caching, guardrails, webhooks, and telemetry export.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

