​
Install

​
Usage

import { createLangChainTools } from '@agentic/langchain'
import { WeatherClient } from '@agentic/stdlib'
import { ChatPromptTemplate } from '@langchain/core/prompts'
import { ChatOpenAI } from '@langchain/openai'
import { AgentExecutor, createToolCallingAgent } from 'langchain/agents'

async function main() {
  const weather = new WeatherClient()

  const tools = createLangChainTools(weather)
  const agent = createToolCallingAgent({
    llm: new ChatOpenAI({ model: 'gpt-4o-mini', temperature: 0 }),
    tools,
    prompt: ChatPromptTemplate.fromMessages([
      ['system', 'You are a helpful assistant. Be as concise as possible.'],
      ['placeholder', '{chat_history}'],
      ['human', '{input}'],
      ['placeholder', '{agent_scratchpad}']
    ])
  })

  const agentExecutor = new AgentExecutor({
    agent,
    tools
    // verbose: true
  })

  const result = await agentExecutor.invoke({
    input: 'What is the weather in San Francisco?'
  })

  console.log(result.output)
}

await main()

​
Running this example

You’ll need a free API key from weatherapi.com to run this example. Store it in a local .env file as WEATHER_API_KEY.

You’ll need an OpenAI API key to run this example. Store it in a local .env file as OPENAI_API_KEY.

git clone git@github.com:transitive-bullshit/agentic.git
cd agentic
pnpm install
echo 'WEATHER_API_KEY=your-key' >> .env
echo 'OPENAI_API_KEY=your-key' >> .env
npx tsx examples/langchain/bin/weather.ts
Vercel AI SDKLlamaIndex