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@orka-js/workflow

v1.0.9

Published

Multi-step workflows for OrkaJS

Downloads

92

Readme

@orka-js/workflow

Multi-step workflow orchestration for OrkaJS — chain plan, retrieve, generate, verify, and improve steps.

Installation

npm install @orka-js/workflow @orka-js/core

Quick Start

import { Workflow, plan, retrieve, generate, verify } from '@orka-js/workflow'
import { Orka } from '@orka-js/core'

const orka = new Orka({ llm, vectorDB })

const workflow = new Workflow({
  orka,
  steps: [
    plan({ prompt: 'Break down the question into sub-tasks' }),
    retrieve({ topK: 5 }),
    generate({ systemPrompt: 'Answer based on the retrieved documents' }),
    verify({ threshold: 0.8 }),
  ],
})

const result = await workflow.run('What are the key features of OrkaJS?')
console.log(result.output)

Streaming

for await (const event of workflow.stream('Summarize the quarterly report')) {
  if (event.type === 'token') process.stdout.write(event.delta)
  if (event.type === 'step') console.log(`Step done: ${event.step}`)
}

Custom Step

import { custom } from '@orka-js/workflow'

const myStep = custom(async (ctx) => {
  const transformed = await myTransform(ctx.output)
  return { ...ctx, output: transformed }
})

const workflow = new Workflow({
  orka,
  steps: [retrieve({ topK: 3 }), generate(), myStep],
})

Built-in Steps

| Step | Description | |------|-------------| | plan(opts) | Decompose the input into sub-tasks | | retrieve(opts) | Fetch relevant documents from vector DB | | generate(opts) | Generate a response using the LLM | | verify(opts) | Check output quality, retry if below threshold | | improve(opts) | Refine and improve the previous output | | custom(fn) | Custom step function |

Workflow Context

Each step receives and returns a WorkflowContext:

interface WorkflowContext {
  input: string
  output: string
  memory: Message[]
  documents: Document[]
  metadata: Record<string, unknown>
}

API

Workflow

new Workflow(config: WorkflowConfig)

workflow.run(input: string)     // Promise<WorkflowResult>
workflow.stream(input: string)  // AsyncIterable<WorkflowEvent>

WorkflowResult: { output, steps, duration, tokens }

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