Agent

An Agent is a configured harness with a model running in a Runtime. It can be configured with an AgentConfig. An agent is given a Task and produces a Trace.

async with vf.make_agent(vf.AgentConfig(model="z-ai/glm-5.2")) as solver:
    trace = await solver.run(vf.Task(vf.TaskData(prompt="What is 2+2?")))

agent.interaction(task) holds a rollout open turn by turn. The caller acts as the user, and each turn() runs one harness segment (i.e., a message, tool call, tool result etc.). A Segment therefore contains messages, tool calls etc.

async with agent.interaction(task) as interaction:
    segment = await interaction.turn("hello")
    if not segment.terminated:
        segment = await interaction.turn(f"you said: {segment.last_reply}")

trace = interaction.trace

Getting Started

Lab

Libraries

Compute