AgentPM Node SDK

A lean, framework-agnostic Node.js SDK for running AgentPM tools from your app or agent runtime.

• 🔎 Discovers tools installed by agentpm install in .agentpm/tools (project) and ~/.agentpm/tools (user), with AGENTPM_TOOL_DIR override.
• 🚀 Executes entrypoints in a subprocess (node/python) and exchanges JSON over stdin/stdout.
• 🧩 Metadata-aware: withMeta returns func + meta (name, version, description, inputs, outputs).
• 🧪 Adapters: tiny helpers (e.g. LangChain) without forcing extra deps.

Requires Node 20+. Ships ESM + CJS builds. Types included.

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Installation

Using pnpm (recommended):

pnpm add @agentpm/sdk

With npm:

npm i @agentpm/sdk

With yarn:

yarn add @agentpm/sdk

If you'll use the optional LangChain adapter:

pnpm add @langchain/core
# npm i @langchain/core
# yarn add @langchain/core

---

Quick Start

Minimal usage

import { load } from '@agentpm/sdk';

// spec format: "@scope/name@version"
const summarize = await load('@zack/summarize@0.1.0');

const result = await summarize({ text: 'Long document content...' });
console.log(result.summary);

With metadata (build richer tool descriptions)

import { load, toLangChainTool } from '@agentpm/sdk';

const loaded = await load('@zack/summarize@0.1.0', { withMeta: true });
const { func: summarize, meta } = loaded;

const richDescription =
  `${meta.description ?? ''} ` +
  `Inputs: ${JSON.stringify(meta.inputs)}. ` +
  `Outputs: ${JSON.stringify(meta.outputs)}.`;

console.log(richDescription);
console.log((await summarize({ text: 'hello' })).summary);

// Optional: turn it into a LangChain tool (requires @langchain/core)
const lcTool = await toLangChainTool(loaded);

CJS require

const { load } = require('@agentpm/sdk');

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Where tools are discovered

Resolution order:

1. AGENTPM_TOOL_DIR (environment variable)
2. ./.agentpm/tools (project-local)
3. ~/.agentpm/tools (user-local)

Each tool lives in a directory like:

.agentpm/
  tools/
    @zack/summarize/
      0.1.0/
        agent.json
        (tool files…)

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Manifest & Runtime Contract

agent.json (minimal fields used by the SDK):

{
  "name": "@zack/summarize",
  "version": "0.1.0",
  "description": "Summarize long text.",
  "inputs": {
    "type": "object",
    "properties": { "text": { "type": "string", "description": "Text to summarize" } },
    "required": ["text"]
  },
  "outputs": {
    "type": "object",
    "properties": { "summary": { "type": "string", "description": "Summarized text" } },
    "required": ["summary"]
  },
  "entrypoint": {
    "command": "node",
    "args": ["dist/cli.js"],
    "cwd": ".",
    "timeout_ms": 60000,
    "env": {}
  }
}

Execution contract:

• SDK writes inputs JSON to the process stdin.
• Tool writes a single outputs JSON object to stdout.
• Non-JSON logs should go to stderr.
• Process must exit with code 0 on success.

Interpreter whitelist: node, nodejs, python, python3. The SDK validates the interpreter and checks it’s present on PATH.

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TypeScript & Module Formats

• ESM import: import { load } from "@agentpm/sdk" → loads dist/index.js (ESM).
• CJS require: const { load } = require("@agentpm/sdk") → loads dist/index.cjs (CJS).
• Types: dist/index.d.ts.

If you see ERR_MODULE_NOT_FOUND for index.mjs, ensure your package.json maps the exports to dist/index.js (ESM) and dist/index.cjs (CJS).

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Development (this repo)

pnpm i

# build / test / lint / format
pnpm build
pnpm test
pnpm lint
pnpm format

# dev watch
pnpm dev

Pre-commit hooks (Husky v9+)

pnpm dlx husky@latest init
printf 'pnpm lint-staged
' > .husky/pre-commit
chmod +x .husky/pre-commit

package.json essentials:

{
  "type": "module",
  "main": "./dist/index.cjs",
  "module": "./dist/index.js",
  "types": "./dist/index.d.ts",
  "exports": {
    ".": {
      "types": "./dist/index.d.ts",
      "import": "./dist/index.js",
      "require": "./dist/index.cjs",
    },
  },
  "scripts": {
    "build": "tsup src/index.ts --format cjs,esm --dts --clean",
    "test": "vitest run",
    "lint": "eslint . --max-warnings 0",
    "format": "prettier --check .",
  },
}

ESLint v9 (flat config)

Create eslint.config.mjs:

import js from '@eslint/js';
import tseslint from 'typescript-eslint';
import prettier from 'eslint-config-prettier';

export default tseslint.config(
  { ignores: ['dist/**'] },
  js.configs.recommended,
  ...tseslint.configs.recommended,
  prettier,
);

Add @types/node in dev deps for TypeScript Node built-ins:

pnpm add -D @types/node

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Optional: LangChain adapter

This SDK provides toLangChainTool(loaded, ...) which returns a dynamic tool. We keep @langchain/core as an optional peer. Install it only if you need the adapter:

pnpm add @langchain/core

In code:

import { load, toLangChainTool } from '@agentpm/sdk';

const loaded = await load('@zack/summarize@0.1.0', { withMeta: true });
const tool = await toLangChainTool(loaded);

---

Publishing

# ensure your exports map and files list are correct
pnpm install
pnpm test && pnpm build
npm pack            # confirm the tarball contents
npm publish --dry-run  # double-check what would be published


# publish (scoped packages default to private without access flag)
pnpm publish --access public

Optional in package.json:

"publishConfig": {
  "access": "public",
  "registry": "https://registry.npmjs.org/"
}

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Running mixed-runtime Agent apps with Docker

Some AgentPM tools run on Node, some on Python—and your agent may need to spawn both. Using Docker gives you a single, reproducible environment where both interpreters are installed and on PATH, which avoids the common “interpreter not found” issues that pop up on PaaS/CI or IDEs.

Why Docker?

✅ Hermetic: Python + Node versions are pinned inside the image.

✅ No PATH drama: node/python are present and discoverable.

✅ Prod/CI parity: the same image runs on your laptop, CI, and servers.

✅ Easy secrets: pass API keys via env at docker run/Compose time.

✅ Fewer surprises: consistent OS libs for LLM clients, SSL, etc.

When to use it

• You deploy to platforms that don’t let you apt-get both runtimes.
• Your agent uses tools with different interpreters (Node + Python).
• Your local dev/IDE PATH differs from production and causes failures.
• You want reproducible builds and easy rollback.

How to use it

1. Copy the provided Dockerfile into your repo.
2. (Optional) Pre-install tools locally with agentpm install ... and commit or copy .agentpm/tools/ into the image, or run agentpm install at build time if your CLI is available in the image.
3. Build & run:

docker build -t agent-app .
docker run --rm -e OPENAI_API_KEY=$OPENAI_API_KEY agent-app

4. For development, use the docker-compose.yml snippet to mount your source and pass env vars conveniently.

Troubleshooting

• Set AGENTPM_DEBUG=1 to print the SDK’s project root, search paths, merged PATH, and resolved interpreters.
• You can force interpreters via:

AGENTPM_NODE=/usr/bin/node
AGENTPM_PYTHON=/usr/local/bin/python3.11

• Prefer absolute interpreters in agent.json.entrypoint.command for production (e.g., /usr/bin/node). The SDKs still enforce the Node/Python family.

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Troubleshooting

• ERR_MODULE_NOT_FOUND for ESM Your package.json likely points to dist/index.mjs but your build emits dist/index.js. Fix the exports map or configure tsup to output .mjs.

• Husky "add is DEPRECATED" In v9+, use husky init and write hook files directly (see above).

• ESLint can't find config ESLint v9 uses flat config. Create eslint.config.mjs as shown.

• Types for @langchain/core Keep @langchain/core as a peer (optional). For build-time types in this repo, install it as a devDependency and mark it external in tsup.config.ts.

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License

MIT — see LICENSE.