JavaScript Client API

npm install @pie-project/client

import { PieClient } from '@pie-project/client';
 
const client = new PieClient('http://localhost:8080');
 
// Run an inferlet
const result = await client.run({
  inferlet: 'std/text-completion',
  args: { prompt: 'Once upon a time' }
});
 
console.log(result);

const client = new PieClient(baseUrl: string, options?: ClientOptions);

const result = await client.run({
  inferlet: string,
  args: Record<string, any>,
  timeout?: number
});

const jobId = await client.submit({
  inferlet: string,
  args: Record<string, any>
});

const result = await client.getResult(jobId: string);

await client.uploadInferlet({
  name: string,
  wasmBuffer: Buffer | Uint8Array
});

import { PieClient } from '@pie-project/client';
 
const client = new PieClient('http://localhost:8080');
 
const result = await client.run({
  inferlet: 'std/text-completion',
  args: {
    prompt: 'Explain machine learning:',
    max_tokens: 100
  }
});
 
console.log(result);

import fs from 'fs';
 
// Upload inferlet
const wasmBuffer = fs.readFileSync('./my_inferlet.wasm');
await client.uploadInferlet({
  name: 'my-inferlet',
  wasmBuffer
});
 
// Run it
const result = await client.run({
  inferlet: 'my-inferlet',
  args: { input: 'test' }
});

const stream = await client.stream({
  inferlet: 'std/text-completion',
  args: { prompt: 'Tell me a story' }
});
 
for await (const chunk of stream) {
  process.stdout.write(chunk);
}

try {
  const result = await client.run({
    inferlet: 'my-inferlet',
    args: { prompt: 'test' }
  });
} catch (error) {
  if (error instanceof PieError) {
    console.error('Pie error:', error.message);
  }
}

interface RunOptions {
  inferlet: string;
  args: Record<string, any>;
  timeout?: number;
}
 
interface RunResult {
  output: string;
  metadata?: Record<string, any>;
}