pip install praisonai[chat]

praisonai chat

praisonai chat --port 3000

from praisonaiagents import Agent
from praisonai.chat import start_chat_server

# Create your agent
agent = Agent(
    name="Assistant",
    instructions="You are a helpful AI assistant."
)

# Start the chat UI with your agent
start_chat_server(agent=agent, port=8000)

from praisonaiagents import Agent
from praisonai.chat import start_chat_server

# Define multiple agents
researcher = Agent(
    name="Researcher",
    role="Research specialist",
    instructions="You research topics thoroughly."
)

writer = Agent(
    name="Writer", 
    role="Content writer",
    instructions="You write clear, engaging content."
)

# Start chat with multiple agents
start_chat_server(agents=[researcher, writer], port=8000)

from praisonai.chat import start_chat_server, ChatConfig

config = ChatConfig(
    host="0.0.0.0",      # Host to bind to
    port=8000,           # Port number
    debug=False,         # Enable debug mode
    auth_enabled=False,  # Enable authentication
    session_id=None,     # Custom session ID
)

start_chat_server(config=config)

# Safe for external deployment
export CHAINLIT_USERNAME=myuser
export CHAINLIT_PASSWORD=mypass
praisonai chat --host 0.0.0.0

from praisonaiagents import Agent, Task, AgentTeam

# Define agents with tools
from praisonaiagents import duckduckgo_search

researcher = Agent(
    name="Researcher",
    role="Research specialist",
    tools=[duckduckgo_search]
)

writer = Agent(
    name="Writer",
    role="Content writer"
)

# Define tasks
research_task = Task(
    description="Research {topic}",
    agent=researcher,
    expected_output="Research findings"
)

write_task = Task(
    description="Write article based on research",
    agent=writer,
    expected_output="Article content"
)

# Create the agents system
agents = AgentTeam(
    agents=[researcher, writer],
    tasks=[research_task, write_task]
)

# The chat UI will automatically detect and use these agents

cd PraisonAIChat
make sync-upstream