AI Agent Platforms: A Developer's Guide to Building & Deploying Intelligent Agents

1from langchain.llms import OpenAI
2from langchain.chains import LLMChain
3from langchain.prompts import PromptTemplate
4
5# Initialize OpenAI LLM
6llm = OpenAI(api_key="YOUR_API_KEY")
7
8# Define a prompt template
9prompt = PromptTemplate(
10    input_variables=["product"],
11    template="What is a good name for a company that makes {product}?"
12)
13
14# Create an LLMChain
15chain = LLMChain(llm=llm, prompt=prompt)
16
17# Run the chain
18product = "eco-friendly cleaning products"
19company_name = chain.run(product)
20
21print(f"A good name for a company that makes {product} is: {company_name}")
22

1using Microsoft.Bot.Builder;
2using Microsoft.Bot.Schema;
3using System.Threading;
4using System.Threading.Tasks;
5
6public class EchoBot : ActivityHandler
7{
8    protected override async Task OnMessageActivityAsync(ITurnContext<IMessageActivity> turnContext, CancellationToken cancellationToken)
9    {
10        var replyText = $"Echo: {turnContext.Activity.Text}";
11        await turnContext.SendActivityAsync(
12            MessageFactory.Text(replyText, replyText),
13            cancellationToken);
14    }
15}
16

1const dialogflow = require('@google-cloud/dialogflow');
2
3// Create a new session client
4const sessionClient = new dialogflow.SessionsClient({
5    keyFilename: 'path/to/your/service-account-key.json'
6});
7
8async function detectIntent(projectId, sessionId, query, languageCode) {
9  // The path to identify the agent that owns the created intent.
10  const sessionPath = sessionClient.sessionPath(projectId, sessionId);
11
12  // The text query request.
13  const request = {
14    session: sessionPath,
15    queryInput: {
16      text: {
17        text: query,
18        languageCode: languageCode,
19      },
20    },
21  };
22
23  // Sends the query to the dialogflow agent.
24  const responses = await sessionClient.detectIntent(request);
25  const result = responses[0].queryResult;
26  console.log('  Query: `${result.queryText}`');
27  console.log('  Response: `${result.fulfillmentText}`');
28}
29
30// Example usage
31detectIntent('your-project-id', 'your-session-id', 'Hello', 'en-US');
32

1class AIAgent:
2    def __init__(self, name, capabilities):
3        self.name = name
4        self.capabilities = capabilities
5
6    def perceive(self, environment):
7        # Gather information from the environment
8        pass
9
10    def decide(self, goals, information):
11        # Determine the best course of action
12        pass
13
14    def act(self, action):
15        # Execute the chosen action
16        pass
17
18# Example usage
19my_agent = AIAgent("SmartAgent", ["NLP", "Data Analysis"])
20