decorated-pi

decorated-pi is a practical enhancement pack for Pi — token-efficient workflow, cache-friendly design, and smarter tools.

Install

pi install npm:decorated-pi
# or
pi install git:github.com/lcwecker/decorated-pi
# or
pi install /path/to/decorated-pi

Features

1. Token Efficiency

Multiple layers of token savings that compound across every session.

Talk Normal Prompt — injects a compact response-style prompt adapted from talk-normal, trimming filler, summary stamps, conditional follow-up menus, and verbose framing. This reduces assistant output tokens and keeps visible reasoning / explanation blocks tighter.

RTK — integrates RTK to rewrite supported shell commands into compact, structured output, falling back to the original command if RTK fails. Just install the CLI, zero config.

Codegraph — integrates codegraph to offer a code map of your project, so the LLM can navigate symbols and call graphs without chaining ls → grep → read. Create and maintain the project index yourself; see the codegraph documentation.

Auxiliary Models — offloads heavy-but-dumb tasks to cheaper models so your primary model only pays for the hard work:

• Image Read Fallback — detects image type via magic bytes, calls a configured vision-capable model, and injects the analysis text, so your main model never touches image tokens
• Compact Model — handles context compaction with a smaller model instead of burning main-model capacity

Configured via /dp-model.

Cache‑friendly Design — stable system prompt prefix:

• tool definitions, guidelines, and skills are sorted alphabetically so the system prompt stays deterministic for the same project and configuration
• MCP tool schemas are persisted after a successful connection, keeping the tool list stable across restarts and temporary server outages

Pi Native Prompt Slimming

• moves the default Pi documentation block out of the system prompt and into a builtin pi-docs skill, so the docs reference loads on demand instead of sitting in every turn's prompt

Large Result Externalization

• a tool_result hook that saves a tool's first text result when it exceeds 30,000 characters to /tmp/decorated-pi-results/<tool>-<callId>.txt, replacing it with a one-line pointer ([Output too long, saved to /tmp/…]) that the LLM can read on demand

2. Smarter Tools

LLM-callable tools and workflow upgrades with better UX and fewer wasted turns.

Patch Tool

Capability	Pi native edit	patch
Anchor‑based search	❌ extending oldText for uniqueness	✅ anchor bounds scope for precise matching
Fuzzy whitespace match	❌ only reports "not found"	✅ auto‑corrects tab↔space / trailing whitespace mismatches
Edit fault diagnostics	❌ only reports "not found"	✅ pinpoint faults for LLM comprehension
Stale‑read protection	❌ Blind to external changes	✅ read captures mtime, patch rejects stale targets

Smarter @ File Search

decorated-pi replaces pi's built-in @ autocomplete with a high-speed file finder backed by @ff-labs/fff-node— a Rust SIMD fuzzy file search engine with in-memory index, frecency ranking, and git status awareness. Pi's native provider shells out to fd on every keystroke.

Aspect	Pi native @	decorated-pi (FFF)
Search	launches an fd subprocess for each query	queries a persistent in-memory index
Ranking	basic string/path matching	native fuzzy score + frecency + git status

LSP support

Covers what codegraph can't: real-time compiler and lint errors.

• lsp_diagnostics — file diagnostics with severity filtering

Supported languages: c/cpp, go, java, lua, json, python, ruby, rust, svelte, typescript. TypeScript and JSON support are bundled; other languages require their corresponding language-server binaries.

3. MCP Ecosystem

Zero-config MCP client with built-in servers:

Server	Tool Prefix	Source
Context7	context7_*	https://mcp.context7.com/mcp
Exa	exa_*	https://mcp.exa.ai/mcp
codegraph	codegraph_*	local codegraph CLI

Custom servers in .pi/agent/mcp.json (project) or ~/.pi/agent/mcp.json (global). Project entries override global entries with the same name. Tool prompts and schemas are cached after a successful connection for fast startup on subsequent sessions.

{
  "mcpServers": {
    "my-server": {
      "url": "https://my-mcp.example.com/mcp",
      "enabled": true
    },
    "my-sse": {
      "url": "https://my-mcp.example.com/sse",
      "enabled": false
    },
    "my-stdio": {
      "command": "npx",
      "args": ["-y", "my-mcp-server"],
      "env": { "DEBUG": "1" }
    }
  }
}

Use /mcp to view connection status and toggle servers.

4. Other

• ask tool — collect text, single-choice, and multi-choice answers through an interactive wizard when the agent needs clarification.
• /code-review [prompt] — offload review of current changes to a separately configured model, avoiding a /model switch in the main session and preserving its prompt cache.
• /usage — token stats with cache‑hit rate, per‑model breakdown (Session / Today / This Week / This Month / All Time)
• /retry — continue after interruption
• Progressive context — supports subdirectory AGENTS.md / CLAUDE.md discovery and injection
• WakaTime — coding activity tracking via WakaTime

Configuration

Runtime settings live in ~/.pi/agent/decorated-pi.json. Run /dp-settings to configure modules and dependency paths, and /dp-model to configure auxiliary models.

{
  "modules": {
    "tools": {
      "patchOverrideEdit": true,
      "ask": true,
      "lsp": true,
      "mcp": true
    },
    "hooks": {
      "rtk": true,
      "wakatime": true
    },
    "commands": {
      "atOverride": true,
      "retry": true,
      "usage": true
    }
  },
  "dependencies": {
    "rtk": {
      "path": "/custom/bin/rtk",
      "dontBother": false
    },
    "wakatime-cli": {
      "dontBother": true
    }
  }
}

• modules can be toggled on/off to enable/disable features. All are enabled by default.
• dependencies[binaryName].path overrides the lookup location for a binary (file or directory). dependencies[binaryName].dontBother silences missing-dependency notifications for that binary. Both are optional.

License

MIT