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@orka-js/resilience

v1.0.8

Published

Resilience patterns for OrkaJS - retry, fallback, resilient LLM

Downloads

71

Readme

@orka-js/resilience

Resilience patterns for OrkaJS — retry, fallback, and token budget enforcement for LLM calls.

Installation

npm install @orka-js/resilience

Retry

import { withRetry } from '@orka-js/resilience'

const result = await withRetry(
  () => llm.chat(messages),
  { maxRetries: 3, delay: 1000, backoff: 'exponential' }
)

Fallback

import { FallbackLLM } from '@orka-js/resilience'
import { OpenAIAdapter } from '@orka-js/openai'
import { AnthropicAdapter } from '@orka-js/anthropic'

const llm = new FallbackLLM([
  new OpenAIAdapter({ apiKey: process.env.OPENAI_API_KEY! }),
  new AnthropicAdapter({ apiKey: process.env.ANTHROPIC_API_KEY! }),
])

// Falls back to Anthropic if OpenAI fails
const response = await llm.chat(messages)

Resilient LLM (Retry + Fallback)

import { ResilientLLM } from '@orka-js/resilience'

const llm = new ResilientLLM(primaryLLM, {
  retry: { maxRetries: 2, delay: 500 },
  fallbacks: [fallbackLLM],
})

Budget Enforcement

import { BudgetedLLM } from '@orka-js/resilience'

const llm = new BudgetedLLM(baseLLM, {
  maxTokens: 100_000,  // hard token limit
  maxCost: 5.00,       // hard cost limit in USD
})

try {
  await llm.chat(messages)
} catch (err) {
  if (err instanceof BudgetExceededError) {
    console.log('Budget exceeded:', err.reason)
  }
}

API

withRetry(fn, options)

| Option | Type | Default | Description | |--------|------|---------|-------------| | maxRetries | number | 3 | Maximum retry attempts | | delay | number | 1000 | Base delay in ms | | backoff | 'linear' \| 'exponential' | 'exponential' | Delay strategy |

FallbackLLM

new FallbackLLM(llms: LLMAdapter[])
// Tries each adapter in order, returns first success

ResilientLLM

new ResilientLLM(primary: LLMAdapter, config: ResilientLLMConfig)
// Combines retry on primary + fallback to alternates

BudgetedLLM

new BudgetedLLM(llm: LLMAdapter, config: BudgetConfig)
// Throws BudgetExceededError when limits are hit

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