Multi-Turn Conversations

from definable.agent import Agent
from definable.model import OpenAIChat

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    instructions="You are a math tutor.",
)

# First turn
output1 = agent.run("What is 15 * 23?")
print(output1.content)  # "15 * 23 = 345"

# Second turn — pass previous messages to maintain context
output2 = agent.run(
    "Now divide that by 5.",
    messages=output1.messages,
)
print(output2.content)  # "345 / 5 = 69"

session = "user-123-chat-abc"

output1 = agent.run("Hello!", session_id=session)
output2 = agent.run("Tell me more.", messages=output1.messages, session_id=session)

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    instructions="You are a helpful assistant.",
)

messages = []
while True:
    user_input = input("You: ")
    if user_input.lower() in ("quit", "exit"):
        break

    output = agent.run(user_input, messages=messages)
    print(f"Agent: {output.content}")

    # Carry forward the updated message history
    messages = output.messages

messages = []

async def chat(user_input: str) -> str:
    global messages
    output = await agent.arun(user_input, messages=messages)
    messages = output.messages
    return output.content

messages = []

for event in agent.run_stream("Hello!", messages=messages):
    if event.event == "RunContent":
        print(event.content, end="", flush=True)
    elif event.event == "RunCompleted":
        messages = event.output.messages

print()

# Next turn with full history
for event in agent.run_stream("Tell me more.", messages=messages):
    if event.event == "RunContent":
        print(event.content, end="", flush=True)
    elif event.event == "RunCompleted":
        messages = event.output.messages