Message Steering

from praisonaiagents import Agent

agent = Agent(
    name="researcher",
    instructions="You are a research assistant",
    message_steering=True,
    llm="gpt-4o-mini",
)

agent.steer("Focus on business impact, keep under 200 words", priority=10)

agent.start("Summarise the latest AI trends")

import threading, time
from praisonaiagents import Agent

agent = Agent(name="writer", instructions="You write articles", message_steering=True)

def run():
    return agent.start("Write a comprehensive article about quantum computing")

t = threading.Thread(target=run); t.start()

time.sleep(0.5); agent.steer("Make it beginner-friendly")
time.sleep(1.0); agent.steer("Include practical applications", priority=15)
time.sleep(1.5); agent.steer("Keep under 300 words total", priority=20)

t.join()

import asyncio
from praisonaiagents import Agent

async def main():
    agent = Agent(name="analyst", instructions="You analyse data", message_steering=True)
    task = asyncio.create_task(agent.astart("Analyse impact of AI on job markets"))

    await asyncio.sleep(0.3); agent.steer("Focus on positive opportunities")
    await asyncio.sleep(0.7); agent.steer("Include specific examples", priority=12)

    print(await task)

asyncio.run(main())

import threading, time
from praisonaiagents import Agent
from praisonaiagents.tools import duckduckgo  # any tool works — this is illustrative

agent = Agent(
    name="researcher",
    instructions="Research topics and write a structured report.",
    tools=[duckduckgo],
    message_steering=True,
)

def run():
    return agent.start("Research solar market trends and write a 500-word summary")

t = threading.Thread(target=run); t.start()

# Agent is now in a multi-step tool loop (search → read → search → summarise).
# The steer lands on the next loop iteration, not only when the chat step returns.
time.sleep(1.0); agent.steer("Focus on the EU market only", priority=20)   # URGENT
time.sleep(2.0); agent.steer("Skip anything before 2024", priority=30)     # INTERRUPT

t.join()

User: research solar market trends and write a 500-word summary
Agent: (tool loop: searching → reading → summarising …)
User: (mid-run) focus on the EU market only          [URGENT]
Agent: (next iteration picks up guidance, re-scopes the next search)
User: (mid-run) skip anything before 2024            [INTERRUPT]
Agent: ✅ 500-word EU Solar Market Trends (2024+) summary