Files
pi/packages/coding-agent/docs/security.md
T
Armin Ronacher 8562bcf66a feat(coding-agent): codemode and MCP
This adds codemode and MCP support to pi. Codemode (packages/codemode) runs
model-written JavaScript in a QuickJS wasm VM inside a worker. From there the
script calls pi's tools as async functions, uses a per-session store, and can
read the model catalog and run classifiers. The codemode tool in coding-agent
is compatible with Codex's exec tool, and codemode.mode works like Codex's
tool modes (on or only). Large results are written to a JSON temp file. MCP
(packages/mcp) is a standalone client for stdio and streamable HTTP servers,
with OAuth.

The core only gets general mechanisms; codemode, tool_search and MCP are
built-in extensions that use them. Other extensions can replace these
built-ins. Tools declare an exposure: direct, model-only, codemode, deferred
or hidden. prepareLoadout() lets an orchestrating tool change which tool
declarations the model sees. ctx.executeTool() runs nested calls through
validation and the tool_call/tool_result hooks. Those calls emit events with
parentToolCallId and are recorded as bounded nestedCalls on the parent
result, which compaction and HTML export use. Tools can also return
structuredContent with an outputSchema, and can report errors with isError
instead of throwing. MCP servers come from mcp.json (global, or per project
after the project is trusted) or from pi.registerMcpServer(). They are
managed with /mcp and pi mcp list|login|logout, and their runtimes load on
first use.

Closes #10040
2026-09-29 09:12:50 +02:00

6.4 KiB

Run Pi safely

Treat model-generated commands and code as untrusted. Pi can read, change, and execute files with the permissions of the account that started it, and it does not ask for approval before every tool call. Extensions, package installers, language servers, and other child processes run with those same permissions unless an operating-system or virtualization boundary restricts them.

Files, comments, instructions, command output, and model responses can steer the model through prompt injection. Project trust controls which project resources load at startup, but it does not make that content or the resulting actions safe.

Safety comes from limiting the files, credentials, processes, and network services Pi can access and affect if a generated action is wrong or hostile. Watching the transcript, using project trust, and reviewing changes do not create a security boundary.

Choose how to run Pi

Different ways of running Pi place different limits on what generated commands can access:

How Pi runs What remains protected
Directly, with the permissions of its operating-system user Anything that user cannot access. A dedicated user account can narrow those permissions, but Pi still shares the operating system and network with other users.
Entirely inside a container, virtual machine, or sandbox Host files and processes that you do not expose to the environment. Credentials and network services remain accessible if you make them available inside it. This is usually the strongest practical option.
Outside the isolated environment, with only its built-in tools running inside Host resources are protected from actions performed through those tools. Pi itself and other extensions remain outside the boundary, so this is a narrower form of isolation.

The working folder controls resource discovery and the default location for tools, but it does not prevent commands from accessing other paths available to the Pi process.

Whichever option you choose, only provide the files and services required for the task. Keep credentials outside the environment where possible, or use narrowly scoped, short-lived credentials. Restrict network access when commands do not need it.

For setup instructions and the limitations of each isolation method, see Run Pi in an isolated environment.

Understand project trust

Project trust controls whether Pi loads most settings and resources supplied by a working folder. It prevents a folder from silently loading executable extensions before you approve it.

Project trust is not a complete startup boundary. Pi reads the project sessionDir setting while selecting or creating a session, before it resolves project trust. Declining trust prevents the remaining project settings and protected resources from loading, but it cannot undo that initial session-directory lookup.

Project trust does not limit what tool calls can access or affect. After Pi starts, enabled tools still use the operating-system permissions of the Pi process. Instructions and other content in the folder can also influence the model.

Resources protected by project trust

Pi requires a project-trust decision when it finds any of these resources from the current working directory:

  • .pi/settings.json
  • .pi/mcp.json
  • .pi/extensions, .pi/skills, .pi/prompts, or .pi/themes
  • .pi/SYSTEM.md or .pi/APPEND_SYSTEM.md
  • project .agents/skills in the current directory or an ancestor directory

A bare .pi directory does not require project trust.

Granting project trust allows Pi to load:

  • project settings
  • project MCP servers from .pi/mcp.json
  • extensions, skills, prompt templates, themes, and system-prompt files under .pi
  • missing packages configured through project settings
  • project-local and project-package extensions

Declining project trust skips those protected resources, except for the initial sessionDir lookup described above.

Context files such as AGENTS.override.md, AGENTS.md, and CLAUDE.md load regardless of project trust unless you disable context loading. Treat instructions in a folder as untrusted input even when you decline project trust.

How Pi chooses a trust decision

A command-line --approve or --no-approve override applies first. When protected resources exist and there is no command-line override:

  1. User-level and command-line extensions can handle the project_trust event. The first extension that returns yes or no owns the decision.
  2. If no extension decides, Pi looks for a saved decision for the current directory or one of its parents. The closest decision applies.
  3. If no saved decision applies, Pi follows the global defaultProjectTrust setting, whose default is "ask".

Saved decisions use canonical directory paths and live in:

~/.pi/agent/trust.json

Use /trust to save a decision for future Pi processes.

Project trust without an interactive prompt

Print, JSON, and RPC modes cannot show the built-in trust prompt. If no command-line override, extension, or saved decision applies:

  • defaultProjectTrust: "always" loads protected project resources.
  • defaultProjectTrust: "ask" or "never" skips them.

Use --approve or --no-approve when an automated run needs an explicit one-time decision.

Reduce impact and improve recovery

These practices do not replace isolation, but they reduce exposure or make recovery easier:

  • Give Pi access only to files and services required for the task.
  • Use snapshots, backups, or version control before substantial changes.
  • Review extensions and packages before loading them. Extensions execute inside the Pi process.
  • Prefer narrowly scoped, short-lived credentials.
  • Review diffs and generated output before applying results to another system.
  • Review sessions before exporting or sharing them. They can contain prompts, tool arguments, command output, file contents, and credentials exposed during the conversation.

Report a security issue

Follow the repository Security Policy. Do not open a public issue for a security-sensitive report.

Expected local-agent behavior, prompt injection from untrusted content, lack of a built-in sandbox, and behavior from user-installed extensions or skills are generally outside the security boundary unless the report demonstrates a privilege-boundary bypass or access that the local user did not already have.