Quickstart

from definable.model.openai import OpenAIChat
from definable.model.message import Message

model = OpenAIChat(id="gpt-4o")
response = model.invoke(
    messages=[Message(role="user", content="What is the capital of France?")],
    assistant_message=Message(role="assistant", content=""),
)
print(response.content)

from definable.agent import Agent
from definable.tool.decorator import tool

@tool
def get_weather(city: str) -> str:
    """Get the current weather for a city."""
    return f"The weather in {city} is sunny, 72F."

agent = Agent(
    model="gpt-4o",
    tools=[get_weather],
    instructions="You are a helpful weather assistant.",
)

output = agent.run("What's the weather in San Francisco?")
print(output.content)

from definable.agent import Agent
from definable.knowledge import Knowledge
from definable.vectordb import InMemoryVectorDB

knowledge = Knowledge(vector_db=InMemoryVectorDB())
knowledge.add("Definable supports 10 LLM providers including OpenAI and Anthropic.")
knowledge.add("Agents can use tools, knowledge, memory, and middleware.")

agent = Agent(
    model="gpt-4o",
    knowledge=knowledge,
    instructions="Answer questions using the provided knowledge.",
)

output = agent.run("What LLM providers does Definable support?")
print(output.content)

from definable.agent import Agent
from definable.memory import Memory, SQLiteStore

agent = Agent(
    model="gpt-4o",
    instructions="You are a helpful assistant with memory.",
    memory=Memory(store=SQLiteStore("./memory.db")),
)

output = agent.run("My name is Alice and I work at Acme.", user_id="alice")
output = agent.run("Where do I work?", user_id="alice")
print(output.content)  # "You work at Acme."

from definable.agent import Agent

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

for event in agent.run_stream("Tell me a story about AI."):
    if event.event == "RunContent" and event.content:
        print(event.content, end="", flush=True)