pi-unigpt

Use uniGPT, the University of Graz's AI assistant, inside the pi coding agent.

Once set up, every model your uniGPT account offers appears in pi's model picker, including GPT-4o, GPT-4.1, and the GPT-5 and GPT-6 families. Tools, streaming responses, and image input all work.

What you need

• pi 1.3 or newer (installation guide)
• A uniGPT API key

Setup

1. Install the extension

pi install git:imsc.uni-graz.at/git/behackl/pi-unigpt

2. Log in

Start pi (or type /reload if it is already running), then type:

/login unigpt

A dialog asks for your API key. Paste it there, not into the chat. Pi checks the key and tells you how many models you can use.

3. Pick a model

Type /model and choose one of the models listed under unigpt.

That's it. Pi remembers your key and your last model for next time.

Optional: start pi with uniGPT by default. Add this to ~/.pi/agent/settings.json, using any model from the list:

{
  "defaultProvider": "unigpt",
  "defaultModel": "gpt-5.4"
}

Commands

Command	What it does
/login unigpt	Save your API key (or replace it with a new one)
/model	Choose a model
/unigpt-refresh	Reload the list of models, e.g. after uniGPT adds new ones
/logout	Remove your key from pi

Updating

pi update --extensions

Logging out and uninstalling

To remove your API key, type /logout and choose uniGPT. The uniGPT models disappear from /model until you log in again. This only removes the key from pi; it does not revoke the key at uniGPT.

To uninstall the extension, log out first (uninstalling does not delete the saved key), then run:

pi remove git:imsc.uni-graz.at/git/behackl/pi-unigpt

If you made uniGPT your default, also remove defaultProvider and defaultModel from ~/.pi/agent/settings.json.

Things to know

• The thinking level setting has no effect. uniGPT decides how much each model reasons; models that reason still do so.
• Costs are shown as zero. Pi doesn't track uniGPT usage; this does not mean usage is unlimited. Your university's usage rules still apply.

Troubleshooting

• No uniGPT models in /model: type /unigpt-refresh. It tells you what is wrong, e.g. a rejected key or no network connection.
• One model always fails with an error: that model may be unavailable on uniGPT's side. Pick another one.
• pi -p "…" says a uniGPT model was not found: start pi normally once after logging in, so it can load the model list.
• Installation fails with spawn npm ENOENT: you use pnpm instead of npm. Add "npmCommand": ["pnpm"] to ~/.pi/agent/settings.json and try again.

Still stuck? Open an issue with the output of /unigpt-refresh and the model you used. Never include your API key.

Advanced

Storing the key elsewhere. Pi saves your key unencrypted in ~/.pi/agent/auth.json, readable only by your user account. To keep it out of that file, change the unigpt entry there to read it from an environment variable or a password manager command:

{ "unigpt": { "type": "api_key", "key": "${UNIGPT_API_KEY}" } }

{ "unigpt": { "type": "api_key", "key": "!op read op://Private/uniGPT/credential" } }

Adjusting model limits. Pi knows the context size and output limit of common models. For a model it doesn't recognize, it assumes 128k tokens of context and 16k of output. If you know better, override them in ~/.pi/agent/models.json:

{ "providers": { "unigpt": { "modelOverrides": { "gpt-5.4": { "contextWindow": 200000 } } } } }

Pinning a version. To stay on one release, install with its tag, e.g. pi install git:imsc.uni-graz.at/git/behackl/pi-unigpt@v0.1.0.

Contributing

See DEVELOPMENT.md.

License

MIT