/**
* Basic LangChain Agent Example
*
* This example shows how to create a simple LangChain agent that can interact with SkyFi MCP.
*
* Prerequisites:
* - Install required packages: npm install @langchain/core @langchain/openai langchain zod
* - Set OPENAI_API_KEY environment variable
* - Have a SkyFi MCP API key
*/
import { ChatOpenAI } from '@langchain/openai';
import { AgentExecutor, createOpenAIFunctionsAgent } from 'langchain/agents';
import { ChatPromptTemplate, MessagesPlaceholder } from '@langchain/core/prompts';
import { getSkyFiTools } from '../index';
/**
* Create and run a basic SkyFi agent
*/
export async function createBasicSkyFiAgent(apiKey: string) {
// Get SkyFi tools
const tools = getSkyFiTools({ apiKey });
// Create LLM
const llm = new ChatOpenAI({
modelName: 'gpt-4',
temperature: 0,
});
// Create prompt template
const prompt = ChatPromptTemplate.fromMessages([
['system', 'You are a helpful assistant that can search and order geospatial data from SkyFi. Use the available tools to help users find and order the data they need.'],
['human', '{input}'],
new MessagesPlaceholder('agent_scratchpad'),
]);
// Create agent
const agent = await createOpenAIFunctionsAgent({
llm,
tools,
prompt,
});
// Create executor
const executor = new AgentExecutor({
agent,
tools,
verbose: true,
});
return executor;
}
/**
* Example usage
*/
export async function example() {
const executor = await createBasicSkyFiAgent('your-skyfi-api-key');
// Example 1: Search for data
const searchResult = await executor.invoke({
input: 'Search for satellite data over San Francisco from January 2024',
});
// Search result contains geospatial data
// Example 2: Estimate price
const priceResult = await executor.invoke({
input: 'What would it cost to get satellite imagery of New York City?',
});
// Price estimate available
// Example 3: Create order
const orderResult = await executor.invoke({
input: 'Order satellite data for Central Park, New York',
});
// Order created successfully
}
