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Javascript Sdk

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JavaScript/TypeScript SDK for inference.sh - run AI apps, build agents, integrate 150+ models. Package: @inferencesh/sdk (npm install). Full TypeScript suppo...

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About This Skill

# JavaScript SDK

Build AI applications with the inference.sh JavaScript/TypeScript SDK.

!JavaScript SDK

Quick Start

```bash npm install @inferencesh/sdk ```

```typescript import { inference } from '@inferencesh/sdk';

const client = inference({ apiKey: 'inf_your_key' });

// Run an AI app const result = await client.run({ app: 'infsh/flux-schnell', input: { prompt: 'A sunset over mountains' } }); console.log(result.output); ```

Installation

```bash npm install @inferencesh/sdk # or yarn add @inferencesh/sdk # or pnpm add @inferencesh/sdk ```

Requirements: Node.js 18.0.0+ (or modern browser with fetch)

Authentication

```typescript import { inference } from '@inferencesh/sdk';

// Direct API key const client = inference({ apiKey: 'inf_your_key' });

// From environment variable (recommended) const client = inference({ apiKey: process.env.INFERENCE_API_KEY });

// For frontend apps (use proxy) const client = inference({ proxyUrl: '/api/inference/proxy' }); ```

Get your API key: Settings → API Keys → Create API Key

Running Apps

Basic Execution

```typescript const result = await client.run({ app: 'infsh/flux-schnell', input: { prompt: 'A cat astronaut' } });

console.log(result.status); // "completed" console.log(result.output); // Output data ```

Fire and Forget

```typescript const task = await client.run({ app: 'google/veo-3-1-fast', input: { prompt: 'Drone flying over mountains' } }, { wait: false });

console.log(`Task ID: ${task.id}`); // Check later with client.getTask(task.id) ```

Streaming Progress

```typescript const stream = await client.run({ app: 'google/veo-3-1-fast', input: { prompt: 'Ocean waves at sunset' } }, { stream: true });

for await (const update of stream) { console.log(`Status: ${update.status}`); if (update.logs?.length) { console.log(update.logs.at(-1)); } } ```

Run Parameters

| Parameter | Type | Description | |-----------|------|-------------| | `app` | string | App ID (namespace/name@version) | | `input` | object | Input matching app schema | | `setup` | object | Hidden setup configuration | | `infra` | string | 'cloud' or 'private' | | `session` | string | Session ID for stateful execution | | `session_timeout` | number | Idle timeout (1-3600 seconds) |

File Handling

Automatic Upload

```typescript const result = await client.run({ app: 'image-processor', input: { image: '/path/to/image.png' // Auto-uploaded } }); ```

Manual Upload

```typescript // Basic upload const file = await client.uploadFile('/path/to/image.png');

// With options const file = await client.uploadFile('/path/to/image.png', { filename: 'custom_name.png', contentType: 'image/png', public: true });

const result = await client.run({ app: 'image-processor', input: { image: file.uri } }); ```

Browser File Upload

```typescript const input = document.querySelector('input[type="file"]'); const file = await client.uploadFile(input.files[0]); ```

Sessions (Stateful Execution)

Keep workers warm across multiple calls:

```typescript // Start new session const result = await client.run({ app: 'my-app', input: { action: 'init' }, session: 'new', session_timeout: 300 // 5 minutes }); const sessionId = result.session_id;

// Continue in same session const result2 = await client.run({ app: 'my-app', input: { action: 'process' }, session: sessionId }); ```

Agent SDK

Template Agents

Use pre-built agents from your workspace:

```typescript const agent = client.agent('my-team/support-agent@latest');

// Send message const response = await agent.sendMessage('Hello!'); console.log(response.text);

// Multi-turn conversation const response2 = await agent.sendMessage('Tell me more');

// Reset conversation agent.reset();

// Get chat history const chat = await agent.getChat(); ```

Ad-hoc Agents

Create custom agents programmatically:

```typescript import { tool, string, number, appTool } from '@inferencesh/sdk';

// Define tools const calculator = tool('calculate') .describe('Perform a calculation') .param('expression', string('Math expression')) .build();

const imageGen = appTool('generate_image', 'infsh/flux-schnell@latest') .describe('Generate an image') .param('prompt', string('Image description')) .build();

// Create agent const agent = client.agent({ core_app: { ref: 'infsh/claude-sonnet-4@latest' }, system_prompt: 'You are a helpful assistant.', tools: [calculator, imageGen], temperature: 0.7, max_tokens: 4096 });

const response = await agent.sendMessage('What is 25 * 4?'); ```

Available Core Apps

| Model | App Reference | |-------|---------------| | Claude Sonnet 4 | `infsh/claude-sonnet-4@latest` | | Claude 3.5 Haiku | `infsh/claude-haiku-35@latest` | | GPT-4o | `infsh/gpt-4o@latest` | | GPT-4o Mini | `infsh/gpt-4o-mini@latest` |

Tool Builder API

Parameter Types

```typescript import { string, number, integer, boolean, enumOf, array, obj, optional } from '@inferencesh/sdk';

const name = string('User\'s name'); const age = integer('Age in years'); const score = number('Score 0-1'); const active = boolean('Is active'); const priority = enumOf(['low', 'medium', 'high'], 'Priority'); const tags = array(string('Tag'), 'List of tags'); const address = obj({ street: string('Street'), city: string('City'), zip: optional(string('ZIP')) }, 'Address'); ```

Client Tools (Run in Your Code)

```typescript const greet = tool('greet') .display('Greet User') .describe('Greets a user by name') .param('name', string('Name to greet')) .requireApproval() .build(); ```

App Tools (Call AI Apps)

```typescript const generate = appTool('generate_image', 'infsh/flux-schnell@latest') .describe('Generate an image from text') .param('prompt', string('Image description')) .setup({ model: 'schnell' }) .input({ steps: 20 }) .requireApproval() .build(); ```

Agent Tools (Delegate to Sub-agents)

```typescript import { agentTool } from '@inferencesh/sdk';

const researcher = agentTool('research', 'my-org/researcher@v1') .describe('Research a topic') .param('topic', string('Topic to research')) .build(); ```

Webhook Tools (Call External APIs)

```typescript import { webhookTool } from '@inferencesh/sdk';

const notify = webhookTool('slack', 'https://hooks.slack.com/...') .describe('Send Slack notification') .secret('SLACK_SECRET') .param('channel', string('Channel')) .param('message', string('Message')) .build(); ```

Internal Tools (Built-in Capabilities)

```typescript import { internalTools } from '@inferencesh/sdk';

const config = internalTools() .plan() .memory() .webSearch(true) .codeExecution(true) .imageGeneration({ enabled: true, appRef: 'infsh/flux@latest' }) .build();

const agent = client.agent({ core_app: { ref: 'infsh/claude-sonnet-4@latest' }, internal_tools: config }); ```

Streaming Agent Responses

```typescript const response = await agent.sendMessage('Explain quantum computing', { onMessage: (msg) => { if (msg.content) { process.stdout.write(msg.content); } }, onToolCall: async (call) => { console.log(`\n[Tool: ${call.name}]`); const result = await executeTool(call.name, call.args); agent.submitToolResult(call.id, result); } }); ```

File Attachments

```typescript // From file path (Node.js) import { readFileSync } from 'fs'; const response = await agent.sendMessage('What\'s in this image?', { files: [readFileSync('image.png')] });

// From base64 const response = await agent.sendMessage('Analyze this', { files: ['data:image/png;base64,iVBORw0KGgo...'] });

// From browser File object const input = document.querySelector('input[type="file"]'); const response = await agent.sendMessage('Describe this', { files: [input.files[0]] }); ```

Skills (Reusable Context)

```typescript const agent = client.agent({ core_app: { ref: 'infsh/claude-sonnet-4@latest' }, skills: [ { name: 'code-review', description: 'Code review guidelines', content: '# Code Review\n\n1. Check security\n2. Check performance...' }, { name: 'api-docs', description: 'API documentation', url: 'https://example.com/skills/api-docs.md' } ] }); ```

Server Proxy (Frontend Apps)

For browser apps, proxy through your backend to keep API keys secure:

Client Setup

```typescript const client = inference({ proxyUrl: '/api/inference/proxy' // No apiKey needed on frontend }); ```

Next.js Proxy (App Router)

```typescript // app/api/inference/proxy/route.ts import { createRouteHandler } from '@inferencesh/sdk/proxy/nextjs';

const route = createRouteHandler({ apiKey: process.env.INFERENCE_API_KEY });

export const POST = route.POST; ```

Express Proxy

```typescript import express from 'express'; import { createProxyMiddleware } from '@inferencesh/sdk/proxy/express';

const app = express(); app.use('/api/inference/proxy', createProxyMiddleware({ apiKey: process.env.INFERENCE_API_KEY })); ```

Supported Frameworks

  • Next.js (App Router & Pages Router)
  • Express
  • Hono
  • Remix
  • SvelteKit

TypeScript Support

Full type definitions included:

```typescript import type { TaskDTO, ChatDTO, ChatMessageDTO, AgentTool, TaskStatusCompleted, TaskStatusFailed } from '@inferencesh/sdk';

if (result.status === TaskStatusCompleted) { console.log('Done!'); } else if (result.status === TaskStatusFailed) { console.log('Failed:', result.error); } ```

Error Handling

```typescript import { RequirementsNotMetException, InferenceError } from '@inferencesh/sdk';

try { const result = await client.run({ app: 'my-app', input: {...} }); } catch (e) { if (e instanceof RequirementsNotMetException) { console.log('Missing requirements:'); for (const err of e.errors) { console.log(` - ${err.type}: ${err.key}`); } } else if (e instanceof InferenceError) { console.log('API error:', e.message); } } ```

Human Approval Workflows

```typescript const response = await agent.sendMessage('Delete all temp files', { onToolCall: async (call) => { if (call.requiresApproval) { const approved = await promptUser(`Allow ${call.name}?`); if (approved) { const result = await executeTool(call.name, call.args); agent.submitToolResult(call.id, result); } else { agent.submitToolResult(call.id, { error: 'Denied by user' }); } } } }); ```

CommonJS Support

```javascript const { inference, tool, string } = require('@inferencesh/sdk');

const client = inference({ apiKey: 'inf_...' }); const result = await client.run({...}); ```

Reference Files

  • Agent Patterns - Multi-agent, RAG, batch processing patterns
  • Tool Builder - Complete tool builder API reference
  • Server Proxy - Next.js, Express, Hono, Remix, SvelteKit setup
  • Streaming - Real-time progress updates and SSE handling
  • File Handling - Upload, download, and manage files
  • Sessions - Stateful execution with warm workers
  • TypeScript - Type definitions and type-safe patterns
  • React Integration - Hooks, components, and patterns

Related Skills

```bash # Python SDK npx skills add inference-sh/skills@python-sdk

# Full platform skill (all 150+ apps via CLI) npx skills add inference-sh/skills@inference-sh

# LLM models npx skills add inference-sh/skills@llm-models

# Image generation npx skills add inference-sh/skills@ai-image-generation ```

Documentation

Use Cases

  • Integrate 150+ AI models into JavaScript/TypeScript applications via inference.sh
  • Build AI agents and applications using a unified SDK interface
  • Run AI inference from Node.js applications with full TypeScript support
  • Access multiple LLM providers through a single JavaScript SDK
  • Prototype AI-powered features rapidly with the inference.sh SDK

Pros & Cons

Pros

  • +Compatible with multiple platforms including claude-code, openclaw
  • +Well-documented with detailed usage instructions and examples
  • +Strong community adoption with a large number of downloads
  • +Open source with permissive licensing

Cons

  • -Requires API tokens or authentication setup before first use
  • -No built-in analytics or usage metrics dashboard

FAQ

What does Javascript Sdk do?
JavaScript/TypeScript SDK for inference.sh - run AI apps, build agents, integrate 150+ models. Package: @inferencesh/sdk (npm install). Full TypeScript suppo...
What platforms support Javascript Sdk?
Javascript Sdk is available on Claude Code, OpenClaw.
What are the use cases for Javascript Sdk?
Integrate 150+ AI models into JavaScript/TypeScript applications via inference.sh. Build AI agents and applications using a unified SDK interface. Run AI inference from Node.js applications with full TypeScript support.

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