LangChain Agents

First, install the required packages:

pip install praisonaiagents langchain-community wikipedia

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

export OPENAI_API_KEY=your_api_key_here

Create a new file app.py with the basic setup:

from praisonaiagents import Agent, Task, Praison LabsAgents
from langchain_community.utilities import WikipediaAPIWrapper

# Create an agent with Wikipedia tool
agent = Agent(
    name="WikiAgent",
    role="Research Assistant",
    goal="Search Wikipedia for accurate information",
    backstory="I am an AI assistant specialized in Wikipedia research",
    tools=[WikipediaAPIWrapper],
    self_reflect=False
)

# Create a research task
task = Task(
    name="wiki_search",
    description="Research 'Artificial Intelligence' on Wikipedia",
    expected_output="Comprehensive information from Wikipedia articles",
    agent=agent
)

# Create and start the workflow
agents = Praison LabsAgents(
    agents=[agent],
    tasks=[task],
    verbose=True
)

agents.start()

Type this in your terminal to run your agents:

python app.py

(Upcoming Feature) Install the Praison Labs package:

pip install "praisonai"

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

export OPENAI_API_KEY=your_api_key_here

Create a new file agents.yaml with the basic setup:

framework: praisonai
process: sequential
roles:
  researcher:
    name: SearchAgent
    role: Research Assistant
    goal: Search for information from multiple sources
    backstory: I am an AI assistant that can search YouTube and Wikipedia.
    tools:
      - youtube_search
      - wikipedia
    tasks:
      search_task:
        name: search_task
        description: Search for information about 'AI advancements' on both YouTube and Wikipedia
        expected_output: Combined information from YouTube videos and Wikipedia articles

Type this in your terminal to run your agents:

praisonai agents.yaml