Awesome

Agentic <!-- omit from toc -->

• Intro
• Docs
• AI SDKs
  • Vercel AI SDK
  • LangChain
  • LlamaIndex
  • Firebase Genkit
  • Dexa Dexter
  • OpenAI
• Tools
• Contributors
• License

Intro

Agentic is a standard library of AI functions / tools which are optimized for both normal TS-usage as well as LLM-based usage. Agentic works with all of the major TS AI SDKs (LangChain, LlamaIndex, Vercel AI SDK, OpenAI SDK, etc).

Agentic clients like WeatherClient can be used as normal TS classes:

import { WeatherClient } from '@agentic/stdlib'

// Requires `process.env.WEATHER_API_KEY` (free from weatherapi.com)
const weather = new WeatherClient()

const result = await weather.getCurrentWeather({
  q: 'San Francisco'
})
console.log(result)

Or you can use these clients as LLM-based tools where the LLM decides when and how to invoke the underlying functions for you.

This works across all of the major AI SDKs via adapters. Here's an example using Vercel's AI SDK:

// sdk-specific imports
import { openai } from '@ai-sdk/openai'
import { generateText } from 'ai'
import { createAISDKTools } from '@agentic/ai-sdk'

// sdk-agnostic imports
import { WeatherClient } from '@agentic/stdlib'

const weather = new WeatherClient()

const result = await generateText({
  model: openai('gpt-4o-mini'),
  // this is the key line which uses the `@agentic/ai-sdk` adapter
  tools: createAISDKTools(weather),
  toolChoice: 'required',
  prompt: 'What is the weather in San Francisco?'
})

console.log(result.toolResults[0])

You can use our standard library of thoroughly tested AI functions with your favorite AI SDK – without having to write any glue code!

Here's a slightly more complex example which uses multiple clients and selects a subset of their functions using the AIFunctionSet.pick method:

// sdk-specific imports
import { ChatModel, createAIRunner } from '@dexaai/dexter'
import { createDexterFunctions } from '@agentic/dexter'

// sdk-agnostic imports
import { PerigonClient, SerperClient } from '@agentic/stdlib'

async function main() {
  // Perigon is a news API and Serper is a Google search API
  const perigon = new PerigonClient()
  const serper = new SerperClient()

  const runner = createAIRunner({
    chatModel: new ChatModel({
      params: { model: 'gpt-4o-mini', temperature: 0 }
    }),
    functions: createDexterFunctions(
      perigon.functions.pick('search_news_stories'),
      serper
    ),
    systemMessage: 'You are a helpful assistant. Be as concise as possible.'
  })

  const result = await runner(
    'Summarize the latest news stories about the upcoming US election.'
  )
  console.log(result)
}

Docs

Full docs are available at agentic.so.

AI SDKs

Vercel AI SDK

Agentic adapter docs for the Vercel AI SDK

LangChain

Agentic adapter docs for LangChain

LlamaIndex

Agentic adapter docs for LlamaIndex

Firebase Genkit

Agentic adapter docs for Genkit

Dexa Dexter

Agentic adapter docs for Dexter

OpenAI

Agentic adapter docs for OpenAI

GenAIScript

Agentic support in GenAIScript

Tools

For more details, see the docs.

Contributors

• Travis Fischer
• David Zhang
• Philipp Burckhardt
• And all of the amazing OSS contributors!

License

MIT © Travis Fischer

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