plano/demos/agent_orchestration/multi_agent_crewai_langchain

Travel Agents in CrewAI and LangChain - with Plano

What you'll see: A travel assistant that seamlessly combines flight booking (CrewAI) and weather forecasts (LangChain) in a single conversation - with unified routing, orchestration, moderation, and observability across both frameworks.

The Problem

Building multi-agent systems today forces developers to:

• Pick one framework - can't mix CrewAI, LangChain, or custom agents easily
• Write plumbing code - authentication, request routing, error handling
• Rebuild for changes - want to swap frameworks? Start over
• Limited observability - no unified view across different agent frameworks

Plano's Solution

Plano acts as a framework-agnostic proxy and data plane that:

• Routes requests to the right agent(s), in the right order (CrewAI, LangChain, or custom)
• Normalizes requests/responses across frameworks automatically
• Provides unified authentication, tracing, and logs
• Lets you mix and match frameworks without coupling, so that you can continue to innovate easily

How To Run

Prerequisites

1. Install Plano CLI

   uv tool install planoai
   

2. Set Environment Variables

   export OPENAI_API_KEY=your_key_here
   export AEROAPI_KEY=your_key_here  # Get your free API key at https://flightaware.com/aeroapi/
   

Start the Demo

# From the demo directory
cd demos/agent_orchestration/multi_agent_crewai_langchain
./run_demo.sh

This starts Plano natively and runs agents as local processes:

• CrewAI Flight Agent (port 10520) - flight search
• LangChain Weather Agent (port 10510) - weather forecasts

Plano runs natively on the host (ports 12000, 8001).

To also start AnythingLLM (chat UI), Jaeger (tracing), and other optional services:

./run_demo.sh --with-ui

This additionally starts:

• AnythingLLM (port 3001) - chat interface
• Jaeger (port 16686) - distributed tracing

Try It Out

1. Using curl

   curl -X POST http://localhost:8001/v1/chat/completions \
     -H "Content-Type: application/json" \
     -d '{"model": "gpt-4o", "messages": [{"role": "user", "content": "What is the weather in San Francisco?"}]}'
   

2. Using AnythingLLM (requires --with-ui)

   • Navigate to http://localhost:3001
   • Create an account (stored locally)

3. Ask Multi-Agent Questions

   "What's the weather in San Francisco and can you find flights from Seattle to San Francisco?"
   

   Plano automatically:

   • Routes the weather part to the LangChain agent
   • Routes the flight part to the CrewAI agent
   • Combines responses seamlessly

4. View Distributed Traces (requires --with-ui)

   • Open http://localhost:16686 (Jaeger UI)
   • See how requests flow through both agents

   

Architecture

┌──────────────┐
│ AnythingLLM  │ (Chat Interface)
└──────┬───────┘
       │
       v
┌─────────────┐
│    Plano    │ (Orchestration & DataPlane)
└──────┬──────┘
       │
       ├──────────────┬──────────────┐
       v              v              v
┌────────────┐ ┌────────────┐ ┌──────────┐
│  CrewAI    │ │ LangChain  │ │  Jaeger  │
│   Flight   │ │  Weather   │ │ (Traces) │
│   Agent    │ │   Agent    │ └──────────┘
└────────────┘ └────────────┘
       ├──────────────├
       v              v
┌─────────────┐
│    Plano    │ (Proxy LLM calls)
└──────┬──────┘

Travel Agents

Flight Agent

• Framework: CrewAI
• Capabilities: Flight search, itinerary planning
• Tools: resolve_airport_code, search_flights
• Data Source: FlightAware AeroAPI

Weather Agent

• Framework: LangChain
• Capabilities: Weather forecasts, conditions
• Tools: get_weather_forecast
• Data Source: Open-Meteo API

Cleanup

./run_demo.sh down

Next Steps

• Add your own agent - any framework, just expose the OpenAI-compatible endpoint
• Custom routing - modify config.yaml to change agent selection logic
• Production deployment - see Plano docs for scaling guidance

Learn More

• Plano Documentation
• CrewAI Documentation
• LangChain Documentation