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Skill · Operations

Pi custom model

Register custom Pi Agent model slugs so saved OpenRouter variants resolve correctly.

Agentic Awesome SkillsLicense: MITAdded Sep 5, 2026
Use it in my AI

How to use it

  1. Start your plan and connect your AI once
  2. Add the skill to your AI, one time only: press Copy skill and paste it into your AI's instructions: a project in ChatGPT, Claude or Grok, a Gem in Gemini, an agent in Microsoft 365 Copilot, or a rule in Cursor. It stays there for every new chat. In Kimi, paste it at the start of a new chat.
  3. Ask for the task in your own words, or say it directly:
Use the Pi custom model skill to help me with this.
SKILL.md

Pi custom / variant model

When to Use

Pi's saved default only loads if the exact provider/id exists in its model registry. Pi ships a static bundled list per provider — so OpenRouter routing-shortcut variants (:nitro = sort by throughput, :floor = cheapest, :exacto = quality tool-use) and any brand-new slug are NOT in it. When the default doesn't resolve, Pi silently falls through to its built-in per-provider default (for openrouter that's moonshotai/kimi-k2.6) — looking like Pi "reset" your model. Fix = register the slug as a custom model so find(provider, id) matches.

Files (global)

  • ~/.pi/agent/settings.json — defaultProvider, defaultModel, defaultThinkingLevel
  • ~/.pi/agent/models.json — custom models, keyed by provider
  • ~/.pi/agent/auth.json — provider credentials (check the provider key exists)

Steps

  1. Confirm the slug is real before adding it (e.g. check the OpenRouter model/variant exists). A typo'd id also silently falls back.
  2. Confirm auth. The provider must have a key in auth.json (or an env var like OPENROUTER_API_KEY). No auth → the model is registered but unavailable → still falls back.
  3. Add the model to models.json under providers.<provider>.models. For a built-in provider (openrouter, anthropic, etc.) you only supply metadata — api, baseUrl, and auth are inherited from the bundled defaults. Example:
  4. ``json { "providers": { "openrouter": { "models": [ { "id": "z-ai/glm-5.2:nitro", "name": "Z.ai: GLM 5.2 (nitro)", "reasoning": true, "thinkingLevelMap": { "xhigh": "xhigh" }, "input": ["text"], "cost": { "input": 0.95, "output": 3, "cacheRead": 0.18, "cacheWrite": 0 }, "contextWindow": 1048576, "maxTokens": 32768, "compat": { "supportsDeveloperRole": false, "thinkingFormat": "openrouter" } } ] } } } ` Copy cost/contextWindow/compat from the base model (the variant shares them) — find the bundled entry in <pi-pkg>/node_modules/@earendil-works/pi-ai/dist/providers/<provider>.models.js`. Don't hardcode generic 128k/16k if the real model is bigger.

  5. Set the default in settings.json: defaultProvider + defaultModel = the exact id. Leave defaultThinkingLevel as the user has it.
  6. Verify: pi --list-models | grep <id> shows it, and JSON parses. Optionally smoke-test: pi --provider <p> --model "<id>" "which model are you?".

Quirks

  • Exact match only. find() is exact provider+id — no fuzzy/colon-stripping for the saved default path. The slug in settings.json and models.json must be byte-identical.
  • Silent fallback. Pi prints no error when the default doesn't resolve; it just shows a different model in the footer. That's the tell.
  • Don't edit settings.json alone. Setting defaultModel to an unregistered slug does nothing — models.json is the actual fix.
  • enabledModels (optional) pins the model picker so Ctrl+P cycling can't drift back: "enabledModels": ["<provider>/<id>:<thinking>"].
  • Project override. A repo's .pi/settings.json overrides global. If a default reverts only inside one project, check that file first.
  • Restart Pi fully — the registry loads at startup.

Example

User request:

Register custom Pi Agent model slugs so saved OpenRouter variants resolve correctly.

Limitations

  • Adapted from davidondrej/skills; verify local paths, tools, credentials, and agent features before acting.
  • For commands, remote access, scheduling, browser automation, or file-changing workflows, get explicit user approval and confirm the target environment first.