AI Agents

Document tools that plug into any LLM provider — what they do and how they work

The SuperDoc SDK ships tool definitions that give LLMs structured access to document operations. They cover reading, searching, editing, formatting, lists, comments, tracked changes, and batched mutations. Pick a provider format, pass the tools to your model, dispatch the calls, and the SDK handles schema formatting, argument validation, and execution.

Quick start

Install the SDK, create a client, open a document, and wire up an agentic loop.

Node.js

npm install @superdoc-dev/sdk openai

import { createSuperDocClient, chooseTools, dispatchSuperDocTool } from '@superdoc-dev/sdk';
import OpenAI from 'openai';

const client = createSuperDocClient();
await client.connect();
const doc = await client.open({ doc: './contract.docx' });

const { tools } = await chooseTools({ provider: 'openai' });
const openai = new OpenAI();

const messages = [
  { role: 'system', content: 'You edit documents using the provided tools.' },
  { role: 'user', content: 'Find the termination clause and rewrite it to allow 30-day notice.' },
];

while (true) {
  const response = await openai.chat.completions.create({
    model: 'gpt-5.2',
    messages,
    tools,
  });

  const message = response.choices[0].message;
  messages.push(message);

  if (!message.tool_calls?.length) break;

  for (const call of message.tool_calls) {
    const result = await dispatchSuperDocTool(
      doc,
      call.function.name,
      JSON.parse(call.function.arguments),
    );
    messages.push({
      role: 'tool',
      tool_call_id: call.id,
      content: JSON.stringify(result),
    });
  }
}

await doc.save({ inPlace: true });
await doc.close();
await client.dispose();

Python

pip install superdoc-sdk openai

import json
import openai
from superdoc import SuperDocClient, choose_tools, dispatch_superdoc_tool

client = SuperDocClient()
client.connect()
doc = client.open({"doc": "./contract.docx"})

result = choose_tools({"provider": "openai"})
tools = result["tools"]

messages = [
    {"role": "system", "content": "You edit documents using the provided tools."},
    {"role": "user", "content": "Find the termination clause and rewrite it to allow 30-day notice."},
]

while True:
    response = openai.chat.completions.create(
        model="gpt-5.2", messages=messages, tools=tools
    )
    message = response.choices[0].message
    messages.append(message)

    if not message.tool_calls:
        break

    for call in message.tool_calls:
        result = dispatch_superdoc_tool(
            doc, call.function.name, json.loads(call.function.arguments)
        )
        messages.append({
            "role": "tool",
            "tool_call_id": call.id,
            "content": json.dumps(result),
        })

doc.save({"inPlace": True})
doc.close({})
client.dispose()

Tool selection

chooseTools() returns provider-formatted tool definitions ready to pass to your LLM.

Node.js

import { chooseTools } from '@superdoc-dev/sdk';

const { tools, meta } = await chooseTools({
  provider: 'openai',   // 'openai' | 'anthropic' | 'vercel' | 'generic'
});

Python

from superdoc import choose_tools

result = choose_tools({"provider": "openai"})
tools = result["tools"]

The current SDK returns the full grouped intent tool set for the selected provider. Group filtering and meta-discovery are not part of the shipped public API here.

Tool catalog

The generated catalog currently contains 9 grouped intent tools. Most tools use an action argument to select the underlying operation. Single-action tools like superdoc_search do not require action.

Tool	Actions	What it does
superdoc_get_content	text, markdown, html, info	Read document content in different formats
superdoc_search	match	Find text or nodes and return handles or addresses for later edits
superdoc_edit	insert, replace, delete, undo, redo	Perform text edits and history actions
superdoc_format	inline, set_style, set_alignment, set_indentation, set_spacing	Apply inline or paragraph formatting
superdoc_create	paragraph, heading	Create structural block elements
superdoc_list	insert, create, detach, indent, outdent, set_level, set_type	Create and manipulate lists
superdoc_comment	create, update, delete, get, list	Manage comment threads
superdoc_track_changes	list, decide	Review and resolve tracked changes
superdoc_mutations	preview, apply	Execute multi-step atomic edits as a batch

More tools are being added as we expand coverage — tables, images, hyperlinks, and more. You can also create custom tools for any doc.* operation today.

Dispatching tool calls

dispatchSuperDocTool() resolves a tool name to the correct SDK method, validates arguments, and executes the call against a bound document handle.

Node.js

import { dispatchSuperDocTool } from '@superdoc-dev/sdk';

const result = await dispatchSuperDocTool(doc, toolName, args);

Python (sync)

from superdoc import dispatch_superdoc_tool

result = dispatch_superdoc_tool(doc, tool_name, args)

Python (async)

from superdoc import dispatch_superdoc_tool_async

result = await dispatch_superdoc_tool_async(doc, tool_name, args)

The dispatcher validates required parameters, enforces mutual exclusivity constraints, and throws descriptive errors if arguments are invalid, so the LLM gets actionable feedback.

System prompt

getSystemPrompt() returns a default prompt that teaches the model the tool workflow: targeting, search-before-edit, and common patterns. It’s optional. You can use it as-is, extend it with your own instructions, or write a completely custom prompt.

import { getSystemPrompt } from '@superdoc-dev/sdk';

const systemPrompt = await getSystemPrompt();

Provider formats

Each provider gets tool definitions in its native format.

OpenAI

const { tools } = await chooseTools({ provider: 'openai' });
// [{ type: 'function', function: { name, description, parameters } }]

Anthropic

const { tools } = await chooseTools({ provider: 'anthropic' });
// [{ name, description, input_schema }]

Vercel AI

const { tools } = await chooseTools({ provider: 'vercel' });
// [{ type: 'function', function: { name, description, parameters } }]

Generic

const { tools } = await chooseTools({ provider: 'generic' });
// [{ name, description, parameters, returns, metadata }]

Creating custom tools

The built-in tools cover core editing operations. For advanced features like tables, images, hyperlinks, footnotes, and citations, create custom tools that call doc.* methods directly.

Step	What you do
1. Pick operations	Browse doc.* to find the methods you need
2. Define the schema	Write a function tool definition for your provider
3. Write a dispatcher	Map tool actions to doc.* calls
4. Merge and use	Combine with SDK tools in your agentic loop

Step 1: Pick your operations

Every doc.* namespace maps to a group of Document API operations:

doc.hyperlinks   → list, get, wrap, insert, patch, remove
doc.tables       → get, insertRow, deleteRow, mergeCells, ...
doc.images       → list, get, setSize, rotate, crop, ...
doc.footnotes    → list, get, create, delete, update, ...
doc.bookmarks    → list, get, create, delete, ...

Step 2: Define the tool schema

Group related operations under a single tool using an action enum. This matches the pattern the built-in tools use.

import type { ChatCompletionTool } from 'openai/resources/chat/completions';

const hyperlinkTool: ChatCompletionTool = {
  type: 'function',
  function: {
    name: 'superdoc_hyperlink',
    description:
      'Create, read, update, or remove hyperlinks in the document.',
    parameters: {
      type: 'object',
      properties: {
        action: {
          type: 'string',
          enum: ['list', 'get', 'wrap', 'insert', 'patch', 'remove'],
        },
        target: {
          description: 'Target address from superdoc_search results.',
        },
        text: { type: 'string', description: 'Display text (insert only).' },
        href: { type: 'string', description: 'URL destination.' },
        tooltip: { type: 'string', description: 'Hover tooltip text.' },
      },
      required: ['action'],
      additionalProperties: false,
    },
  },
};

• Keep descriptions short. The model reads every tool definition on each turn.
• Use additionalProperties: false to prevent hallucinated parameters.
• Reference superdoc_search in descriptions so the model knows how to get targets.

Step 3: Write a dispatcher

Map each action to the corresponding doc.* call:

import { dispatchSuperDocTool } from '@superdoc-dev/sdk';

async function dispatchToolCall(doc, toolName, args) {
  // Built-in tools: delegate to the SDK
  if (toolName !== 'superdoc_hyperlink') {
    return dispatchSuperDocTool(doc, toolName, args);
  }

  // Custom tool: call doc.* directly
  const { action, target, text, href, tooltip } = args;

  switch (action) {
    case 'list':
      return doc.hyperlinks.list({});
    case 'get':
      return doc.hyperlinks.get({ target });
    case 'wrap':
      return doc.hyperlinks.wrap({
        target,
        link: { destination: { href }, ...(tooltip && { tooltip }) },
      });
    case 'insert':
      return doc.hyperlinks.insert({
        text,
        link: { destination: { href }, ...(tooltip && { tooltip }) },
        ...(target && { target }),
      });
    case 'patch':
      return doc.hyperlinks.patch({
        target,
        patch: { ...(href && { href }), ...(tooltip && { tooltip }) },
      });
    case 'remove':
      return doc.hyperlinks.remove({ target });
    default:
      throw new Error(`Unknown action: "${action}"`);
  }
}

Step 4: Merge and use

Combine your custom tool with the SDK tools and use your dispatcher in the agentic loop:

const { tools: sdkTools } = await chooseTools({ provider: 'openai' });
const allTools = [...sdkTools, hyperlinkTool];

// In your agentic loop, use your dispatcher instead of dispatchSuperDocTool:
// OpenAI chat completions store the tool name on function.name.
const toolName = toolCall.function.name;
const result = await dispatchToolCall(doc, toolName, args);

Extending the system prompt

For custom tools, append usage instructions to the SDK system prompt so the model knows how to use them:

const systemPrompt = await getSystemPrompt();

const customInstructions = `
## superdoc_hyperlink

Use this tool to manage hyperlinks. First use superdoc_search to find
text you want to link, then pass the handle as target to the wrap action.
`;

const fullPrompt = systemPrompt + '\n' + customInstructions;

SDK functions

Function	Description
chooseTools(input)	Load grouped tool definitions for a provider
dispatchSuperDocTool(doc, name, args)	Execute a tool call against a bound document handle
listTools(provider)	List all tool definitions for a provider
getToolCatalog()	Load the full tool catalog with metadata
getSystemPrompt()	Read the bundled system prompt for intent tools

Related

• How to use — step-by-step integration guide with copy-pasteable code
• Best practices — prompting, workflow tips, and tested prompt examples
• Debugging — troubleshoot tool call failures
• SDKs — typed Node.js and Python wrappers
• Document API — the operation set behind the tools