Mini AI Agents - PraisonAI Documentation

Quick Start

Create multiple AI agents that can work together in just a few lines of code!

Install Package

First, install the PraisonAI Agents package:

pip install praisonaiagents duckduckgo_search

Set API Key

Set your OpenAI API key as an environment variable in your terminal:

export OPENAI_API_KEY=your_api_key_here

Create Your Agents

from praisonaiagents import Agent, PraisonAIAgents
summarise_agent = Agent(instructions="Summarise Photosynthesis")
agents = PraisonAIAgents(agents=[summarise_agent])
agents.start()

Run Your Agents

Execute your agents by running:

python app.py

Install Package

First, install the PraisonAI Agents package:

pip install praisonaiagents duckduckgo_search

Set API Key

Set your OpenAI API key as an environment variable in your terminal:

export OPENAI_API_KEY=your_api_key_here

Create Your Agents

from praisonaiagents import Agent, PraisonAIAgents
summarise_agent = Agent(instructions="Summarise Photosynthesis")
agents = PraisonAIAgents(agents=[summarise_agent])
agents.start()

Run Your Agents

Execute your agents by running:

python app.py

Install Package

First, install the PraisonAI Agents package:

pip install praisonaiagents duckduckgo_search

Set API Key

Set your OpenAI API key as an environment variable in your terminal:

export OPENAI_API_KEY=your_api_key_here

Create Your Agents

# Create a new file `agents.yaml` with the following content:
roles:
  summarise_agent
    instructions: Summarise Photosynthesis

Run Your Agents

Execute your agents by running:

python app.py

Prerequisites

Python 3.10 or higher
OpenAI API key. Generate OpenAI API key here. Use Other models using this guide.

Understanding Mini AI Agents

What are Mini AI Agents?

Mini AI Agents are simplified yet powerful AI agents that can:

Work together to accomplish tasks
Use tools like internet search
Process and summarize information
Execute tasks sequentially

Key Components

Agent

Individual AI agents with specific roles and capabilities

Agent(instructions="Your agent's role description")

Tools

Built-in tools that agents can use

tools=[Tools.internet_search]

Agents Manager

Coordinates multiple agents

Agents(agents=[agent1, agent2])

Sequential Flow

Agents work in sequence, passing results to each other

Available Tools

Internet Search

Tools.internet_search

Search the internet using DuckDuckGo

Requires: pip install duckduckgo_search

Custom Instructions

# Simple instructions
research_agent = Agent(
    instructions="Research about climate change"
)

Best Practices

Agent Instructions

Tool Usage

Provide tools only to agents that need them:

# Research agent needs search
research_agent = Agent(
    instructions="Research AI",
    tools=[Tools.internet_search]
)

# Summary agent doesn't need search
summary_agent = Agent(
    instructions="Summarize findings"
)

Common Patterns

Research and Analysis

# Research agent
researcher = Agent(
    instructions="Research latest developments in quantum computing",
    tools=[Tools.internet_search]
)

# Analysis agent
analyst = Agent(
    instructions="Analyze and explain the research findings in simple terms"
)

agents = Agents(agents=[researcher, analyst])

Information Processing

# Data collector
collector = Agent(
    instructions="Collect information about renewable energy",
    tools=[Tools.internet_search]
)

# Summarizer
summarizer = Agent(
    instructions="Create a concise summary of the collected information"
)

# Report writer
writer = Agent(
    instructions="Write a detailed report based on the summary"
)

agents = Agents(agents=[collector, summarizer, writer])

Troubleshooting

Tool Not Available

If using Tools.internet_search, install required package:

pip install duckduckgo_search

Agent Communication

Ensure agent instructions are clear and complementary

Next Steps

Advanced Agents

Learn about advanced agent configurations

Custom Tools

Create your own agent tools

Mini AI Agents are designed to be simple yet powerful. They’re perfect for quick prototypes and straightforward automation tasks.

On this page

Quick Start
Understanding Mini AI Agents
Key Components
Available Tools
Custom Instructions
Best Practices
Common Patterns
Research and Analysis
Information Processing
Troubleshooting
Next Steps

Quick Start

Create multiple AI agents that can work together in just a few lines of code!

Install Package

First, install the PraisonAI Agents package:

pip install praisonaiagents duckduckgo_search

Set API Key

Set your OpenAI API key as an environment variable in your terminal:

export OPENAI_API_KEY=your_api_key_here

Create Your Agents

from praisonaiagents import Agent, PraisonAIAgents
summarise_agent = Agent(instructions="Summarise Photosynthesis")
agents = PraisonAIAgents(agents=[summarise_agent])
agents.start()

Run Your Agents

Execute your agents by running:

python app.py

Install Package

First, install the PraisonAI Agents package:

pip install praisonaiagents duckduckgo_search

Set API Key

Set your OpenAI API key as an environment variable in your terminal:

export OPENAI_API_KEY=your_api_key_here

Create Your Agents

from praisonaiagents import Agent, PraisonAIAgents
summarise_agent = Agent(instructions="Summarise Photosynthesis")
agents = PraisonAIAgents(agents=[summarise_agent])
agents.start()

Run Your Agents

Execute your agents by running:

python app.py

Install Package

First, install the PraisonAI Agents package:

pip install praisonaiagents duckduckgo_search

Set API Key

Set your OpenAI API key as an environment variable in your terminal:

export OPENAI_API_KEY=your_api_key_here

Create Your Agents

# Create a new file `agents.yaml` with the following content:
roles:
  summarise_agent
    instructions: Summarise Photosynthesis

Run Your Agents

Execute your agents by running:

python app.py

Prerequisites

Python 3.10 or higher
OpenAI API key. Generate OpenAI API key here. Use Other models using this guide.

Understanding Mini AI Agents

What are Mini AI Agents?

Mini AI Agents are simplified yet powerful AI agents that can:

Work together to accomplish tasks
Use tools like internet search
Process and summarize information
Execute tasks sequentially

Key Components

Agent

Individual AI agents with specific roles and capabilities

Agent(instructions="Your agent's role description")

Tools

Built-in tools that agents can use

tools=[Tools.internet_search]

Agents Manager

Coordinates multiple agents

Agents(agents=[agent1, agent2])

Sequential Flow

Agents work in sequence, passing results to each other

Available Tools

Internet Search

Tools.internet_search

Search the internet using DuckDuckGo

Requires: pip install duckduckgo_search

Custom Instructions

# Simple instructions
research_agent = Agent(
    instructions="Research about climate change"
)

Best Practices

Agent Instructions

Tool Usage

Provide tools only to agents that need them:

# Research agent needs search
research_agent = Agent(
    instructions="Research AI",
    tools=[Tools.internet_search]
)

# Summary agent doesn't need search
summary_agent = Agent(
    instructions="Summarize findings"
)

Common Patterns

Research and Analysis

# Research agent
researcher = Agent(
    instructions="Research latest developments in quantum computing",
    tools=[Tools.internet_search]
)

# Analysis agent
analyst = Agent(
    instructions="Analyze and explain the research findings in simple terms"
)

agents = Agents(agents=[researcher, analyst])

Information Processing

# Data collector
collector = Agent(
    instructions="Collect information about renewable energy",
    tools=[Tools.internet_search]
)

# Summarizer
summarizer = Agent(
    instructions="Create a concise summary of the collected information"
)

# Report writer
writer = Agent(
    instructions="Write a detailed report based on the summary"
)

agents = Agents(agents=[collector, summarizer, writer])

Troubleshooting

Tool Not Available

If using Tools.internet_search, install required package:

pip install duckduckgo_search

Agent Communication

Ensure agent instructions are clear and complementary

Next Steps

Advanced Agents

Learn about advanced agent configurations

Custom Tools

Create your own agent tools

Mini AI Agents are designed to be simple yet powerful. They’re perfect for quick prototypes and straightforward automation tasks.

On this page

Quick Start
Understanding Mini AI Agents
Key Components
Available Tools
Custom Instructions
Best Practices
Common Patterns
Research and Analysis
Information Processing
Troubleshooting
Next Steps

​Quick Start

​Understanding Mini AI Agents

What are Mini AI Agents?

​Key Components

Agent

Tools

Agents Manager

Sequential Flow

​Available Tools

Internet Search

​Custom Instructions

​Best Practices

​Common Patterns

​Research and Analysis

​Information Processing

​Troubleshooting

Tool Not Available

Agent Communication

​Next Steps

Advanced Agents

Custom Tools

Course

​Quick Start

​Understanding Mini AI Agents

What are Mini AI Agents?

​Key Components

Agent

Tools

Agents Manager

Sequential Flow

​Available Tools

Internet Search

​Custom Instructions

​Best Practices

​Common Patterns

​Research and Analysis

​Information Processing

​Troubleshooting

Tool Not Available

Agent Communication

​Next Steps

Advanced Agents

Custom Tools

Quick Start

Understanding Mini AI Agents

Key Components

Available Tools

Custom Instructions

Best Practices

Common Patterns

Research and Analysis

Information Processing

Troubleshooting

Next Steps

Quick Start

Understanding Mini AI Agents

Key Components

Available Tools

Custom Instructions

Best Practices

Common Patterns

Research and Analysis

Information Processing

Troubleshooting

Next Steps