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Update plan-and-execute.ipynb fix type of object under "past_steps" key #1256

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Update plan-and-execute.ipynb fix type of object under "past_steps" key #1256

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Update plan-and-execute.ipynb fix type of object under "past_steps" key
EdoDiT Aug 7, 2024
229239a
Merge branch 'langchain-ai:main' into plan-and-execute-example-fix
EdoDiT Aug 9, 2024
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2 changes: 1 addition & 1 deletion examples/plan-and-execute/plan-and-execute.ipynb
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Expand Up @@ -255,7 +255,7 @@
"id": "6c8e0dad-bcea-4c9a-8922-0d820892e2d0",
"metadata": {},
"outputs": [],
"source": ["from typing import Literal\n\n\nasync def execute_step(state: PlanExecute):\n plan = state[\"plan\"]\n plan_str = \"\\n\".join(f\"{i+1}. {step}\" for i, step in enumerate(plan))\n task = plan[0]\n task_formatted = f\"\"\"For the following plan:\n{plan_str}\\n\\nYou are tasked with executing step {1}, {task}.\"\"\"\n agent_response = await agent_executor.ainvoke(\n {\"messages\": [(\"user\", task_formatted)]}\n )\n return {\n \"past_steps\": (task, agent_response[\"messages\"][-1].content),\n }\n\n\nasync def plan_step(state: PlanExecute):\n plan = await planner.ainvoke({\"messages\": [(\"user\", state[\"input\"])]})\n return {\"plan\": plan.steps}\n\n\nasync def replan_step(state: PlanExecute):\n output = await replanner.ainvoke(state)\n if isinstance(output.action, Response):\n return {\"response\": output.action.response}\n else:\n return {\"plan\": output.action.steps}\n\n\ndef should_end(state: PlanExecute) -> Literal[\"agent\", \"__end__\"]:\n if \"response\" in state and state[\"response\"]:\n return \"__end__\"\n else:\n return \"agent\""]
"source": ["from typing import Literal\n\n\nasync def execute_step(state: PlanExecute):\n plan = state[\"plan\"]\n plan_str = \"\\n\".join(f\"{i+1}. {step}\" for i, step in enumerate(plan))\n task = plan[0]\n task_formatted = f\"\"\"For the following plan:\n{plan_str}\\n\\nYou are tasked with executing step {1}, {task}.\"\"\"\n agent_response = await agent_executor.ainvoke(\n {\"messages\": [(\"user\", task_formatted)]}\n )\n return {\n \"past_steps\": [(task, agent_response[\"messages\"][-1].content)],\n }\n\n\nasync def plan_step(state: PlanExecute):\n plan = await planner.ainvoke({\"messages\": [(\"user\", state[\"input\"])]})\n return {\"plan\": plan.steps}\n\n\nasync def replan_step(state: PlanExecute):\n output = await replanner.ainvoke(state)\n if isinstance(output.action, Response):\n return {\"response\": output.action.response}\n else:\n return {\"plan\": output.action.steps}\n\n\ndef should_end(state: PlanExecute) -> Literal[\"agent\", \"__end__\"]:\n if \"response\" in state and state[\"response\"]:\n return \"__end__\"\n else:\n return \"agent\""]
},
{
"cell_type": "code",
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