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Release · Pi · earendil-works

Pi v0.99.0

What's new in Pi v0.99.0, released Sep 29, 2026 (). Newer: v1.4.0 (Oct 21, 2026)

Official release notes ↗ Pi changelog

Release notes

Pi v0.99.0

New Features
  • Codemode and MCP — Connect MCP servers and let models run JavaScript that calls tools in parallel. See MCP Servers and Enable codemode.
  • System theme — Pi's colors now come from your terminal's own palette by default. See Use your terminal's colors.
  • Sign in with ChatGPT — Use a ChatGPT subscription with the OpenAI provider through /login openai. See Authenticate interactively.
  • Virtual models — Extensions can route each request to a different physical model. See Virtual Models.
  • Classifier models — Run Jev classifiers from codemode scripts, or use any llama.cpp model as a classifier. See How codemode works and Classification.
Added
  • Added codemode, tool search, and MCP support as built-in extensions. The codemode tool runs model-written JavaScript in a QuickJS sandbox that calls pi's tools; enable it with defaultTools or --tools and configure it with codemode.mode and codemode.inlineBudget. tool_search finds tools that are not declared to the model and declares them. MCP servers over stdio or streamable HTTP, with OAuth, come from mcp.json (global, or per project once trusted) or pi.registerMcpServer() and are managed with /mcp and pi mcp add|remove|list|login|logout. See MCP Servers and Enable codemode (#10040).
  • Added extension tool APIs for orchestrating tools: exposure (direct, model-only, codemode, deferred, or hidden), namespace, annotations, outputSchema with structuredContent, isError results, prepareLoadout(), and ctx.executeTool() for nested tool calls, which emit events with parentToolCallId and are recorded as bounded nestedCalls on the calling tool's result. See Tool exposure.
  • Added a warning when an extension that registers the same tool, command, or flag replaces a built-in extension (#10174 by @cristinaponcela).
  • Added experimental virtual models: extensions register them with pi.registerVirtualModel() and pick a physical model and thinking level for each request. The footer shows the routed model, /session lists cost per physical model, and examples/extensions/jev-router.ts routes with the Jev classifier. See Virtual Models.
  • Added Sign in with ChatGPT to the OpenAI provider in /login, which uses a ChatGPT subscription with the OpenAI API. Pi stores a stable deviceId in the global settings for this login and omits it from bug reports.
  • Added the system theme, now the default, which derives pi's colors from the terminal's reported foreground, background, and ANSI palette and rebuilds them when the terminal switches between light and dark. See Use your terminal's colors.
  • Added #rgb, oklch(), and okhsl() colors and an optional appearance field to theme files, and theme.style(), theme.colors, and theme.appearance for extensions. See Themes and TUI.
  • Added a classifier model for every llama.cpp chat model, answered from next-token label probabilities. See Classification.
  • Added inherited Jev classifier models on OpenRouter, Cloudflare Workers AI, Vercel AI Gateway, and OpenCode Zen.
  • Added the fullscreenWheelScrollLines setting and /settings entry for fullscreen mouse-wheel scrolling. The default "auto" accelerates fast wheel spins outside local macOS terminals (#9758).
  • Added per-input disposition to successful RPC prompt, steer, and follow_up responses, AgentSession.steer()/followUp(), and RpcClient.prompt()/steer()/followUp(); RpcClient.prompt() also accepts streamingBehavior (#9098, #9803).
  • Added image generation to ModelRuntime: generateImages() with runtime-resolved auth (stored credentials, OAuth, runtime API keys, models.json headers), plus getModelsOfType(), getModelOfType(), getAvailableOfType(), getAllModels(), and getAllAvailable(). OpenRouter image models are listed under the openrouter provider and share its credential; an upstream ID can have separate chat and image entries. models.json providers and extension registrations without a model list keep built-in image generation. Extension model lists can include discriminated chat, image, and classifier entries with operation implementations; when supplied, they replace the provider catalog across every operation. Chat-facing reads (getModels(), getAvailableSnapshot(), the model picker) are unchanged.
  • Added classifier support to ModelRuntime, including classify(), classifier model accessors, runtime-resolved authentication, and the built-in TypeSafe jev-latest model.
  • Added types=chat,image,classifier to pi.dev model catalog requests so remote refreshes overlay every supported model type; entries of unknown model types are ignored.
  • Added the provider_stream_event extension event for observing parsed provider events before normalization, with an opt-in /debug-provider example viewer (#9784, #9901 by @davidbrai).
  • Added a show/hide toggle (H) in HTML exports for custom messages marked display: false. Messages remain hidden by default and can also be revealed from the sidebar (#8896, #10020 by @rwachtler).
  • Added inherited Claude Sonnet 5.5 support for Anthropic with adaptive thinking and a 1M context window.
  • Added a Built-in section in pi config to disable the built-in mcp, llama.cpp, codemode, and tool-search extensions globally or per project, stored as -builtin:<name> in the extensions setting. SDK inline extensions opt in with builtin: true.

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