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The custom @agent.loop now mirrors Agent.default_loop closely: a streaming model call feeds a ToolRunner, tool calls are scheduled as they arrive, and results are folded back into the context via context.add(stream.message) and context.add(tr.get_tool_message()). To support this we add a `replay_message_events` function to `ai.events`.
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The custom @agent.loop now mirrors Agent.default_loop closely: a
streaming model call feeds a ToolRunner, tool calls are scheduled
as they arrive, and results are folded back into the context via
context.add(stream.message) and context.add(tr.get_tool_message()).
To support this we add a
replay_message_eventsfunction toai.events.