aiXplain-agents

Travel Agent Powered by aiXplain

Overview

This tutorial demonstrates the capabilities of the aiXplain platform in creating a modular multi-agent powered by Groq for fast inference speed. The Travel Agent combines advanced AI models, real-time data integration, and robust orchestration features to provide personalized and adaptive travel planning experiences.

Built on aiXplain, this tutorial showcases how developers can easily design, build, and deploy intelligent agents without requiring extensive AI/ML expertise.

Why aiXplain?

aiXplain is a comprehensive platform designed for building, optimizing, and deploying multi-agent systems with ease. Key highlights include:

• Wide Range of Models: Access over 100 Large Language Models (LLMs) and 38,000+ AI tools from leading providers like Groq, OpenAI, and Google.
• Single Access Key: Simplify model integration with a single-key system and enjoy the best pricing across platforms.
• Modular AI Agents: Build standalone or multi-agent systems that are customizable and ready for real-world tasks.
• Integrated Tooling: Fine-tune models, benchmark performance, and integrate advanced debugging features effortlessly.
• Enterprise-Ready: Provides robust security, scalability, and compliance for professional deployments.

Features Demonstrated in This Project

1. Agent Design and Orchestration

• Scraper Utility Agent: Gathers insights from travel blogs and review platforms.
• Location Agent: Offers personalized recommendations for nearby landmarks and activities.
• Weather Agent: Provides real-time weather updates and forecasts.

2. Team Agents

• Combines individual agents into a cohesive system, enabling them to work collaboratively for complex workflows.

3. Effortless Deployment

• Publish agents as APIs with a single click using aiXplain's streamlined interface.
• Integrate APIs into applications via OpenAI standards, Python, Swift, or cURL.

How to Use aiXplain for Your Projects

Install the aiXplain SDK

pip install aixplain

Obtain Your Access Key

Register on aiXplain and retrieve your access key from the Integrations page.

import os
os.environ["AIXPLAIN_API_KEY"] = "<YOUR_ACCESS_KEY>"

Build Your Agent

Leverage the power of Groq-enhanced LLMs by utilizing AgentFactory to design highly efficient agents.

When creating an agent, you can optionally specify an llm_id to integrate a specific Large Language Model (LLM) for enhanced performance. To find an llm_id, browse available models on the aiXplain Marketplace, and copy the ID from the model details.

from aixplain.factories import AgentFactory

scraper_agent = AgentFactory.create(
    name="Scraper Utility Agent",
    description="Gathers travel insights based on user preferences.",
    tools=[...],
    llm_id="..."
)

Combine Agents into a Team

Create a multi-agent system for complex workflows:

from aixplain.factories import TeamAgentFactory

team_agent = TeamAgentFactory.create(
    name="Travel Agent",
    description="A comprehensive travel planning system.",
    agents=[scraper_agent, location_agent, weather_agent]
)

Run and Deploy

Test and deploy your agents to generate APIs for integration:

result = team_agent.run("Plan a day trip to Boston")
print(result)

Deploy your agent when you are ready:

team_agent.deploy()

See it in action

<iframe width="560" height="315" src="https://www.loom.com/embed/127a7f6691514035bcf2877ccfcda1eb?sid=8c740ef3-59c4-49a3-8d78-0085059aba41" frameborder="0" allowfullscreen></iframe>

Learn More

Explore aiXplain's capabilities: aiXplain Platform
Access tutorials and guides: aiXplain Documentation
Join the community: aiXplain Discord

Start building intelligent systems with aiXplain today and transform how you deploy AI solutions! 🚀🤖