Models

from autonomy import Agent, Model, Node


async def main(node):
  await Agent.start(
    node=node,
    name="henry",
    instructions="You are Henry, an expert legal assistant",
    model=Model("claude-sonnet-4")
  )


Node.start(main)

from autonomy import Agent, Model, Node


async def main(node):
  # Use a lower temperature for more focused responses
  await Agent.start(
    node=node,
    name="analyst",
    instructions="You are a financial analyst",
    model=Model("claude-sonnet-4", temperature=0.2)
  )


Node.start(main)

from autonomy import Model, Node, SystemMessage, UserMessage


async def main(node):
  model = Model("claude-sonnet-4")

  response = model.complete_chat([
    SystemMessage("You are a helpful assistant."),
    UserMessage("Explain gravity in simple terms")
  ])
  
  print(response)


Node.start(main)

from autonomy import Model, Node, SystemMessage, UserMessage


async def main(node):
  model = Model("claude-sonnet-4")

  streaming_response = model.complete_chat([
      SystemMessage("You are a helpful assistant."),
      UserMessage("Explain gravity")
  ], stream=True)

  async for chunk in streaming_response:
    if hasattr(chunk, "choices") and chunk.choices and chunk.choices[0].delta.content:
      content = chunk.choices[0].delta.content
      print(content, end="")


Node.start(main)

from autonomy import Model, Node


async def main(node):
  model = Model("embed-english")

  embeddings = await model.embeddings([
    "Hello world",
    "How are you?"
  ])
  
  print(f"Embedding dimension: {len(embeddings[0])}")


Node.start(main)