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

Features

1. Token Efficiency

Multiple layers of token savings that compound across every session.

RTK — integrates RTK to compress bash output into structured summaries, so the LLM never sees raw noise. 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. You should manage the code source index yourself, see codegraph doc.

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 is identical across sessions
• volatile elements like Current date: … are stripped before prompt assembly
• MCP tool schemas are persisted to a local cache, so the tool list stays stable regardless of network conditions or server availability

Pi Native Prompt Slimming

• move 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
• unregister the native write tool, since bash can handle it

Large Result Externalization

• a tool_result hook that catches ANY tool output (bash, read, MCP, etc.) exceeding 30 KB and saves the full content to /tmp/decorated-pi-results/<tool>-<callId>.txt. Pi's native truncation still keeps a chunk of the original content in the prompt; this replaces it entirely with a one‑line pointer ([Output too long, saved to /tmp/…]) so the LLM knows where the result is and reads it on demand — strictly fewer tokens per turn

2. Smarter Tools

Drop‑in replacements for Pi's built‑in tools, 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)
Speed	❌ walks filesystem via fd subprocess on every keystroke	✅ in‑memory index built once per session, ~0.1 ms / query
Ranking	❌ 4‑bucket case‑sensitive score (exact/starts/contains/path)	✅ fuzzy match + frecency + git status (boots from git log)
Noise	❌ shows every file in the project, including .git, node_modules, dist	✅ filters git‑ignored files; substring filter on path keeps short queries relevant

Benchmark of @

┌─ smart-at benchmark
├─ generated 500,000 files in 3.9 s
├─ FFF scan complete in 664 ms
│  RSS after FFF index: 408 MB  (+330 MB over baseline)
├─ accuracy (14 queries)
│                  top‑1   top‑3   top‑5   false‑pos
│  smart-at         93%     93%     93%    0
│  native (fd)      86%     93%     93%    0
└─ corpus cleaned

name                                            hz      mean
· smart-at                                      8.10    123 ms
· native @  (fd subprocess)                     3.12    320 ms

Summary: smart-at is 2.59x faster than native @  (fd subprocess)

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

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_*	bundled binary

Custom servers in .pi/agent/mcp.json (project) or ~/.pi/agent/mcp.json (global). Project overrides global. Tool prompts and schemas are cached locally so MCP tools are available immediately on startup.

{
  "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. Secret Redaction

Three-layer detection: high-confidence known-format patterns (AWS, GitHub, OpenAI, etc.), config-key regex matching, and adjusted Shannon entropy heuristics for unknown secret-like values.

Example redaction on a read / bash output:

{
  "aws_access_key_id": "AKI**************PLE",
  "github_token": "ghp***************def",
  "database_password": "Sup#######t99",
  "api_key": "sk_**************f5a",
  "random_secret": "a1b??????5f5"
}

* = known pattern, # = config key regex, ? = entropy heuristic.

5. Other

• /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 in ~/.pi/agent/decorated-pi.json. run /dp-settings to configure it.

{
  "modules": {
    "tools": {
      "patchOverrideEdit": true,
      "ask": true,
      "lsp": true,
      "mcp": true
    },
    "hooks": {
      "secretRedaction": true,
      "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