Files
sim/packages/ts-sdk
Waleed a7b0bd311d fix(deps): upgrade vitest to ^4.1.0 to patch critical Vitest UI advisory (GHSA-5xrq-8626-4rwp) (#4837)
* fix(deps): upgrade vitest to ^4.1.0 to patch critical Vitest UI advisory (GHSA-5xrq-8626-4rwp)

- Bump vitest and @vitest/coverage-v8 to ^4.1.0 across all workspaces (only patched release for the critical 'Vitest UI server arbitrary file read/execute' advisory; no 3.x backport exists)
- Widen @sim/testing peer range to ^3.0.0 || ^4.0.0
- Migrate constructor mocks to class expressions: vitest 4 uses Reflect.construct for mocks invoked with new, and arrow/function implementations are not constructable (function expressions also get reverted to arrows by biome's useArrowFunction)
- Remove deprecated test.poolOptions from apps/sim/vitest.config.ts (options are now top-level in vitest 4)

* fix(deps): exclude vulnerable vitest 4.0.x from @sim/testing peer range

Tighten the v4 arm of the peer range to >=4.1.0 <5.0.0 so the peer
requirement cannot be satisfied by the unpatched 4.0.x builds that
GHSA-5xrq-8626-4rwp affects.

* fix(testing): make vitest 4 constructor mocks type-check cleanly

- logging-session & mcp-oauth mocks: a class passed to mockImplementation has
  a construct signature that isn't assignable to its (...args) => any parameter,
  failing tsc. Use named function declarations instead (constructable via
  Reflect.construct, assignable to mockImplementation, and not rewritten to
  arrows by biome's useArrowFunction).
- database.mock.ts: vitest 4's generic vi.fn typings no longer break the
  self-referential cycle on the transaction callback's tx param; loosen tx and
  annotate the callback's return type to resolve the implicit-any errors.

* test(isolated-vm): de-flake queue-capacity scheduler tests

The 'queue is full' and 'per-owner queued limit' tests relied on
'await sleep(1)' to assume the first request had reached the queue before
submitting the overflow request. The first request only enqueues after an
async spawn-failure chain (acquireWorker -> spawn exit -> resolve null ->
enqueue), which isn't guaranteed within 1ms under CI load — the overflow
request then found an empty queue and hit the 200ms queue-wait timeout
instead of the capacity rejection.

Replace the wall-clock barrier with a deterministic, event-driven one: hold
the single global concurrency slot (IVM_MAX_CONCURRENT=1) with an active
worker and await an explicit 'dispatched' signal (fired when the worker
receives its execute message, after the scheduler counts it active). The
follow-up requests then deterministically hit the synchronous enqueue path.
Also drops the queue-wait timeout from 200ms to 50ms, so the tests run faster.
2026-06-01 16:11:35 -07:00
..

Sim TypeScript SDK

The official TypeScript/JavaScript SDK for Sim, allowing you to execute workflows programmatically from your applications.

Installation

npm install simstudio-ts-sdk
# or 
yarn add simstudio-ts-sdk
# or
bun add simstudio-ts-sdk

Quick Start

import { SimStudioClient } from 'simstudio-ts-sdk';

// Initialize the client
const client = new SimStudioClient({
  apiKey: 'your-api-key-here',
  baseUrl: 'https://sim.ai' // optional, defaults to https://sim.ai
});

// Execute a workflow
try {
  const result = await client.executeWorkflow('workflow-id');
  console.log('Workflow executed successfully:', result);
} catch (error) {
  console.error('Workflow execution failed:', error);
}

API Reference

SimStudioClient

Constructor

new SimStudioClient(config: SimStudioConfig)
  • config.apiKey (string): Your Sim API key
  • config.baseUrl (string, optional): Base URL for the Sim API (defaults to https://sim.ai)

Methods

executeWorkflow(workflowId, input?, options?)

Execute a workflow with optional input data.

// With object input (spread at root level of request body)
const result = await client.executeWorkflow('workflow-id', {
  message: 'Hello, world!'
});

// With primitive input (wrapped as { input: value })
const result = await client.executeWorkflow('workflow-id', 'NVDA');

// With options
const result = await client.executeWorkflow('workflow-id', { message: 'Hello' }, {
  timeout: 60000
});

Parameters:

  • workflowId (string): The ID of the workflow to execute
  • input (any, optional): Input data to pass to the workflow. Objects are spread at the root level, primitives/arrays are wrapped in { input: value }. File objects are automatically converted to base64.
  • options (ExecutionOptions, optional):
    • timeout (number): Timeout in milliseconds (default: 30000)
    • stream (boolean): Enable streaming responses
    • selectedOutputs (string[]): Block outputs to stream (e.g., ["agent1.content"])
    • async (boolean): Execute asynchronously and return execution ID

Returns: Promise<WorkflowExecutionResult | AsyncExecutionResult>

getWorkflowStatus(workflowId)

Get the status of a workflow (deployment status, etc.).

const status = await client.getWorkflowStatus('workflow-id');
console.log('Is deployed:', status.isDeployed);

Parameters:

  • workflowId (string): The ID of the workflow

Returns: Promise<WorkflowStatus>

validateWorkflow(workflowId)

Validate that a workflow is ready for execution.

const isReady = await client.validateWorkflow('workflow-id');
if (isReady) {
  // Workflow is deployed and ready
}

Parameters:

  • workflowId (string): The ID of the workflow

Returns: Promise<boolean>

executeWorkflowSync(workflowId, input?, options?)

Execute a workflow and poll for completion (useful for long-running workflows).

const result = await client.executeWorkflowSync('workflow-id', { data: 'some input' }, {
  timeout: 60000
});

Parameters:

  • workflowId (string): The ID of the workflow to execute
  • input (any, optional): Input data to pass to the workflow
  • options (ExecutionOptions, optional):
    • timeout (number): Timeout for the initial request in milliseconds

Returns: Promise<WorkflowExecutionResult>

getJobStatus(jobId)

Get the status of an async job.

const status = await client.getJobStatus('job-id-from-async-execution');
console.log('Job status:', status);

Parameters:

  • jobId (string): The job ID returned from async execution

Returns: Promise<any>

executeWithRetry(workflowId, input?, options?, retryOptions?)

Execute a workflow with automatic retry on rate limit errors.

const result = await client.executeWithRetry('workflow-id', { message: 'Hello' }, {
  timeout: 30000
}, {
  maxRetries: 3,
  initialDelay: 1000,
  maxDelay: 30000,
  backoffMultiplier: 2
});

Parameters:

  • workflowId (string): The ID of the workflow to execute
  • input (any, optional): Input data to pass to the workflow
  • options (ExecutionOptions, optional): Execution options
  • retryOptions (RetryOptions, optional):
    • maxRetries (number): Maximum retry attempts (default: 3)
    • initialDelay (number): Initial delay in ms (default: 1000)
    • maxDelay (number): Maximum delay in ms (default: 30000)
    • backoffMultiplier (number): Backoff multiplier (default: 2)

Returns: Promise<WorkflowExecutionResult | AsyncExecutionResult>

getRateLimitInfo()

Get current rate limit information from the last API response.

const rateInfo = client.getRateLimitInfo();
if (rateInfo) {
  console.log('Remaining requests:', rateInfo.remaining);
}

Returns: RateLimitInfo | null

getUsageLimits()

Get current usage limits and quota information.

const limits = await client.getUsageLimits();
console.log('Current usage:', limits.usage);

Returns: Promise<UsageLimits>

setApiKey(apiKey)

Update the API key.

client.setApiKey('new-api-key');
setBaseUrl(baseUrl)

Update the base URL.

client.setBaseUrl('https://my-custom-domain.com');

Types

WorkflowExecutionResult

interface WorkflowExecutionResult {
  success: boolean;
  output?: any;
  error?: string;
  logs?: any[];
  metadata?: {
    duration?: number;
    executionId?: string;
    [key: string]: any;
  };
  traceSpans?: any[];
  totalDuration?: number;
}

LargeValueRef

Oversized execution values may be returned as a versioned reference inside output, logs, streaming events, or async job status responses. The key field is an opaque execution-scoped server storage pointer, not a client-readable download URL.

interface LargeValueRef {
  __simLargeValueRef: true;
  version: 1;
  id: string;
  kind: 'array' | 'object' | 'string' | 'json';
  size: number;
  key?: string;
  executionId?: string;
  preview?: unknown;
}

WorkflowStatus

interface WorkflowStatus {
  isDeployed: boolean;
  deployedAt?: string;
  needsRedeployment: boolean;
}

SimStudioError

class SimStudioError extends Error {
  code?: string;
  status?: number;
}

AsyncExecutionResult

interface AsyncExecutionResult {
  success: boolean;
  jobId: string;
  statusUrl: string;
  executionId?: string;
  message: string;
  async: true;
}

RateLimitInfo

interface RateLimitInfo {
  limit: number;
  remaining: number;
  reset: number;
  retryAfter?: number;
}

UsageLimits

interface UsageLimits {
  success: boolean;
  rateLimit: {
    sync: {
      isLimited: boolean;
      limit: number;
      remaining: number;
      resetAt: string;
    };
    async: {
      isLimited: boolean;
      limit: number;
      remaining: number;
      resetAt: string;
    };
    authType: string;
  };
  usage: {
    currentPeriodCost: number;
    limit: number;
    plan: string;
  };
}

ExecutionOptions

interface ExecutionOptions {
  timeout?: number;
  stream?: boolean;
  selectedOutputs?: string[];
  async?: boolean;
}

RetryOptions

interface RetryOptions {
  maxRetries?: number;
  initialDelay?: number;
  maxDelay?: number;
  backoffMultiplier?: number;
}

Examples

Basic Workflow Execution

import { SimStudioClient } from 'simstudio-ts-sdk';

const client = new SimStudioClient({
  apiKey: process.env.SIM_API_KEY!
});

async function runWorkflow() {
  try {
    // Check if workflow is ready
    const isReady = await client.validateWorkflow('my-workflow-id');
    if (!isReady) {
      throw new Error('Workflow is not deployed or ready');
    }

    // Execute the workflow
    const result = await client.executeWorkflow('my-workflow-id', {
      message: 'Process this data',
      userId: '12345'
    });

    if (result.success) {
      console.log('Output:', result.output);
      console.log('Duration:', result.metadata?.duration);
    } else {
      console.error('Workflow failed:', result.error);
    }
  } catch (error) {
    console.error('Error:', error);
  }
}

runWorkflow();

Error Handling

import { SimStudioClient, SimStudioError } from 'simstudio-ts-sdk';

const client = new SimStudioClient({
  apiKey: process.env.SIM_API_KEY!
});

async function executeWithErrorHandling() {
  try {
    const result = await client.executeWorkflow('workflow-id');
    return result;
  } catch (error) {
    if (error instanceof SimStudioError) {
      switch (error.code) {
        case 'UNAUTHORIZED':
          console.error('Invalid API key');
          break;
        case 'TIMEOUT':
          console.error('Workflow execution timed out');
          break;
        case 'USAGE_LIMIT_EXCEEDED':
          console.error('Usage limit exceeded');
          break;
        case 'INVALID_JSON':
          console.error('Invalid JSON in request body');
          break;
        default:
          console.error('Workflow error:', error.message);
      }
    } else {
      console.error('Unexpected error:', error);
    }
    throw error;
  }
}

Environment Configuration

// Using environment variables
const client = new SimStudioClient({
  apiKey: process.env.SIM_API_KEY!,
  baseUrl: process.env.SIM_BASE_URL // optional
});

File Upload

File objects are automatically detected and converted to base64 format. Include them in your input under the field name matching your workflow's API trigger input format:

The SDK converts File objects to this format:

{
  type: 'file',
  data: 'data:mime/type;base64,base64data',
  name: 'filename',
  mime: 'mime/type'
}

Alternatively, you can manually provide files using the URL format:

{
  type: 'url',
  data: 'https://example.com/file.pdf',
  name: 'file.pdf',
  mime: 'application/pdf'
}
import { SimStudioClient } from 'simstudio-ts-sdk';
import fs from 'fs';

const client = new SimStudioClient({
  apiKey: process.env.SIM_API_KEY!
});

// Node.js: Read file and create File object
const fileBuffer = fs.readFileSync('./document.pdf');
const file = new File([fileBuffer], 'document.pdf', { type: 'application/pdf' });

// Include files under the field name from your API trigger's input format
const result = await client.executeWorkflow('workflow-id', {
  documents: [file],  // Field name must match your API trigger's file input field
  instructions: 'Process this document'
});

// Browser: From file input
const handleFileUpload = async (event: Event) => {
  const inputEl = event.target as HTMLInputElement;
  const files = Array.from(inputEl.files || []);

  const result = await client.executeWorkflow('workflow-id', {
    attachments: files,  // Field name must match your API trigger's file input field
    query: 'Analyze these files'
  });
};

Getting Your API Key

  1. Log in to your Sim account
  2. Navigate to your workflow
  3. Click on "Deploy" to deploy your workflow
  4. Select or create an API key during the deployment process
  5. Copy the API key to use in your application

Development

Running Tests

To run the tests locally:

  1. Clone the repository and navigate to the TypeScript SDK directory:

    cd packages/ts-sdk
    
  2. Install dependencies:

    bun install
    
  3. Run the tests:

    bun run test
    

Building

Build the TypeScript SDK:

bun run build

This will compile TypeScript files to JavaScript and generate type declarations in the dist/ directory.

Development Mode

For development with auto-rebuild:

bun run dev

Requirements

  • Node.js 18+
  • TypeScript 5.0+ (for TypeScript projects)

License

Apache-2.0