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# Add a system message to the LLM to indicate that it should summarize
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system_msg.add_text(
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"""# Summarizer instructions:\nWhen asked to summarize, do the following:
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1) Summarize the effect of the last action, with attention to details.
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2) Give a semantic description of the current state of the environment, with attention to details. If there was a repeating mistake, mention the cause of it.
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3) Reason about the overall task at a high level.
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4) What hint can be relevant for the next action? Only chose from the hints provided in the task description. Or select none.
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5) What is the currently activated item if any.
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6) Reason about the next action to take, based on the current state and the goal.
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"""
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1) Summarize the effect of the last action, with attention to details.
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2) Give a semantic description of the current state of the environment, with attention to details. If there was a repeating mistake, mention the cause of it.
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3) Reason about the overall task at a high level.
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4) What hint can be relevant for the next action? Only chose from the hints provided in the task description. Or select none.
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5) Reason about the next action to take, based on the current state and the goal.
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