mirror of
https://github.com/hwchase17/langchain.git
synced 2026-04-03 19:04:23 +00:00
299 lines
19 KiB
Plaintext
299 lines
19 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "b09b745d-f006-4ecc-8772-afa266c43605",
|
|
"metadata": {},
|
|
"source": [
|
|
"# How to add a human-in-the-loop for tools\n",
|
|
"\n",
|
|
"There are certain tools that we don't trust a model to execute on its own. One thing we can do in such situations is require human approval before the tool is invoked."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "09178c30-a633-4d7b-88ea-092316f14b6f",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Setup\n",
|
|
"\n",
|
|
"We'll need to install the following packages:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e44bec05-9aa4-47b1-a660-c0a183533598",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"%pip install --upgrade --quiet langchain"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "f09629b6-7f62-4879-a791-464739ca6b6b",
|
|
"metadata": {},
|
|
"source": [
|
|
"And set these environment variables:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "2bed0ccf-20cc-4fd3-9947-55471dd8c4da",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import getpass\n",
|
|
"import os\n",
|
|
"\n",
|
|
"# If you'd like to use LangSmith, uncomment the below:\n",
|
|
"# os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
|
|
"# os.environ[\"LANGCHAIN_API_KEY\"] = getpass.getpass()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "43721981-4595-4721-bea0-5c67696426d3",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Chain\n",
|
|
"\n",
|
|
"Suppose we have the following (dummy) tools and tool-calling chain:\n",
|
|
"\n",
|
|
"```{=mdx}\n",
|
|
"import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
|
|
"\n",
|
|
"<ChatModelTabs customVarName=\"llm\"/>\n",
|
|
"```"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"id": "e0ff02ac-e750-493b-9b09-4578711a6726",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# | echo: false\n",
|
|
"# | outout: false\n",
|
|
"\n",
|
|
"from langchain_anthropic import ChatAnthropic\n",
|
|
"\n",
|
|
"llm = ChatAnthropic(model=\"claude-3-sonnet-20240229\", temperature=0)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"id": "0221fdfd-2a18-4449-a123-e6b0b15bb3d9",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[{'name': 'count_emails',\n",
|
|
" 'args': {'last_n_days': 5},\n",
|
|
" 'id': 'toolu_012VHuh7vk5dVNct5SgZj3gh',\n",
|
|
" 'output': 10}]"
|
|
]
|
|
},
|
|
"execution_count": 4,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from operator import itemgetter\n",
|
|
"from typing import Dict, List\n",
|
|
"\n",
|
|
"from langchain_core.messages import AIMessage\n",
|
|
"from langchain_core.runnables import Runnable, RunnablePassthrough\n",
|
|
"from langchain_core.tools import tool\n",
|
|
"\n",
|
|
"\n",
|
|
"@tool\n",
|
|
"def count_emails(last_n_days: int) -> int:\n",
|
|
" \"\"\"Multiply two integers together.\"\"\"\n",
|
|
" return last_n_days * 2\n",
|
|
"\n",
|
|
"\n",
|
|
"@tool\n",
|
|
"def send_email(message: str, recipient: str) -> str:\n",
|
|
" \"Add two integers.\"\n",
|
|
" return f\"Successfully sent email to {recipient}.\"\n",
|
|
"\n",
|
|
"\n",
|
|
"tools = [count_emails, send_email]\n",
|
|
"llm_with_tools = llm.bind_tools(tools)\n",
|
|
"\n",
|
|
"\n",
|
|
"def call_tools(msg: AIMessage) -> List[Dict]:\n",
|
|
" \"\"\"Simple sequential tool calling helper.\"\"\"\n",
|
|
" tool_map = {tool.name: tool for tool in tools}\n",
|
|
" tool_calls = msg.tool_calls.copy()\n",
|
|
" for tool_call in tool_calls:\n",
|
|
" tool_call[\"output\"] = tool_map[tool_call[\"name\"]].invoke(tool_call[\"args\"])\n",
|
|
" return tool_calls\n",
|
|
"\n",
|
|
"\n",
|
|
"chain = llm_with_tools | call_tools\n",
|
|
"chain.invoke(\"how many emails did i get in the last 5 days?\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "258c1c7b-a765-4558-93fe-d0defbc29223",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Adding human approval\n",
|
|
"\n",
|
|
"We can add a simple human approval step to our tool_chain function:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"id": "341fb055-0315-47bc-8f72-ed6103d2981f",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\n",
|
|
"\n",
|
|
"\n",
|
|
"def human_approval(msg: AIMessage) -> Runnable:\n",
|
|
" tool_strs = \"\\n\\n\".join(\n",
|
|
" json.dumps(tool_call, indent=2) for tool_call in msg.tool_calls\n",
|
|
" )\n",
|
|
" input_msg = (\n",
|
|
" f\"Do you approve of the following tool invocations\\n\\n{tool_strs}\\n\\n\"\n",
|
|
" \"Anything except 'Y'/'Yes' (case-insensitive) will be treated as a no.\"\n",
|
|
" )\n",
|
|
" resp = input(input_msg)\n",
|
|
" if resp.lower() not in (\"yes\", \"y\"):\n",
|
|
" raise ValueError(f\"Tool invocations not approved:\\n\\n{tool_strs}\")\n",
|
|
" return msg"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"id": "25dca07b-56ca-4b94-9955-d4f3e9895e03",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdin",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Do you approve of the following tool invocations\n",
|
|
"\n",
|
|
"{\n",
|
|
" \"name\": \"count_emails\",\n",
|
|
" \"args\": {\n",
|
|
" \"last_n_days\": 5\n",
|
|
" },\n",
|
|
" \"id\": \"toolu_01LCpjpFxrRspygDscnHYyPm\"\n",
|
|
"}\n",
|
|
"\n",
|
|
"Anything except 'Y'/'Yes' (case-insensitive) will be treated as a no. yes\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[{'name': 'count_emails',\n",
|
|
" 'args': {'last_n_days': 5},\n",
|
|
" 'id': 'toolu_01LCpjpFxrRspygDscnHYyPm',\n",
|
|
" 'output': 10}]"
|
|
]
|
|
},
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"chain = llm_with_tools | human_approval | call_tools\n",
|
|
"chain.invoke(\"how many emails did i get in the last 5 days?\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"id": "f558f2cd-847b-4ef9-a770-3961082b540c",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdin",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Do you approve of the following tool invocations\n",
|
|
"\n",
|
|
"{\n",
|
|
" \"name\": \"send_email\",\n",
|
|
" \"args\": {\n",
|
|
" \"message\": \"What's up homie\",\n",
|
|
" \"recipient\": \"sally@gmail.com\"\n",
|
|
" },\n",
|
|
" \"id\": \"toolu_0158qJVd1AL32Y1xxYUAtNEy\"\n",
|
|
"}\n",
|
|
"\n",
|
|
"Anything except 'Y'/'Yes' (case-insensitive) will be treated as a no. no\n"
|
|
]
|
|
},
|
|
{
|
|
"ename": "ValueError",
|
|
"evalue": "Tool invocations not approved:\n\n{\n \"name\": \"send_email\",\n \"args\": {\n \"message\": \"What's up homie\",\n \"recipient\": \"sally@gmail.com\"\n },\n \"id\": \"toolu_0158qJVd1AL32Y1xxYUAtNEy\"\n}",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
|
|
"Cell \u001b[0;32mIn[11], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mchain\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mSend sally@gmail.com an email saying \u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mWhat\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43ms up homie\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
|
|
"File \u001b[0;32m~/langchain/libs/core/langchain_core/runnables/base.py:2499\u001b[0m, in \u001b[0;36mRunnableSequence.invoke\u001b[0;34m(self, input, config)\u001b[0m\n\u001b[1;32m 2497\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 2498\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i, step \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msteps):\n\u001b[0;32m-> 2499\u001b[0m \u001b[38;5;28minput\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[43mstep\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minvoke\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2500\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2501\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# mark each step as a child run\u001b[39;49;00m\n\u001b[1;32m 2502\u001b[0m \u001b[43m \u001b[49m\u001b[43mpatch_config\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2503\u001b[0m \u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_manager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_child\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mseq:step:\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43mi\u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2504\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2505\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2506\u001b[0m \u001b[38;5;66;03m# finish the root run\u001b[39;00m\n\u001b[1;32m 2507\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
|
|
"File \u001b[0;32m~/langchain/libs/core/langchain_core/runnables/base.py:3961\u001b[0m, in \u001b[0;36mRunnableLambda.invoke\u001b[0;34m(self, input, config, **kwargs)\u001b[0m\n\u001b[1;32m 3959\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Invoke this runnable synchronously.\"\"\"\u001b[39;00m\n\u001b[1;32m 3960\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfunc\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m-> 3961\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_with_config\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3962\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_invoke\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3963\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3964\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_config\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunc\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3965\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3966\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3967\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 3968\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\n\u001b[1;32m 3969\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot invoke a coroutine function synchronously.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3970\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUse `ainvoke` instead.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3971\u001b[0m )\n",
|
|
"File \u001b[0;32m~/langchain/libs/core/langchain_core/runnables/base.py:1625\u001b[0m, in \u001b[0;36mRunnable._call_with_config\u001b[0;34m(self, func, input, config, run_type, **kwargs)\u001b[0m\n\u001b[1;32m 1621\u001b[0m context \u001b[38;5;241m=\u001b[39m copy_context()\n\u001b[1;32m 1622\u001b[0m context\u001b[38;5;241m.\u001b[39mrun(var_child_runnable_config\u001b[38;5;241m.\u001b[39mset, child_config)\n\u001b[1;32m 1623\u001b[0m output \u001b[38;5;241m=\u001b[39m cast(\n\u001b[1;32m 1624\u001b[0m Output,\n\u001b[0;32m-> 1625\u001b[0m \u001b[43mcontext\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1626\u001b[0m \u001b[43m \u001b[49m\u001b[43mcall_func_with_variable_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# type: ignore[arg-type]\u001b[39;49;00m\n\u001b[1;32m 1627\u001b[0m \u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# type: ignore[arg-type]\u001b[39;49;00m\n\u001b[1;32m 1628\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# type: ignore[arg-type]\u001b[39;49;00m\n\u001b[1;32m 1629\u001b[0m \u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1630\u001b[0m \u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1631\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1632\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m,\n\u001b[1;32m 1633\u001b[0m )\n\u001b[1;32m 1634\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mBaseException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 1635\u001b[0m run_manager\u001b[38;5;241m.\u001b[39mon_chain_error(e)\n",
|
|
"File \u001b[0;32m~/langchain/libs/core/langchain_core/runnables/config.py:347\u001b[0m, in \u001b[0;36mcall_func_with_variable_args\u001b[0;34m(func, input, config, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m 345\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m run_manager \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m accepts_run_manager(func):\n\u001b[1;32m 346\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrun_manager\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m run_manager\n\u001b[0;32m--> 347\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
|
"File \u001b[0;32m~/langchain/libs/core/langchain_core/runnables/base.py:3835\u001b[0m, in \u001b[0;36mRunnableLambda._invoke\u001b[0;34m(self, input, run_manager, config, **kwargs)\u001b[0m\n\u001b[1;32m 3833\u001b[0m output \u001b[38;5;241m=\u001b[39m chunk\n\u001b[1;32m 3834\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 3835\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[43mcall_func_with_variable_args\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3836\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrun_manager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m 3837\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3838\u001b[0m \u001b[38;5;66;03m# If the output is a runnable, invoke it\u001b[39;00m\n\u001b[1;32m 3839\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(output, Runnable):\n",
|
|
"File \u001b[0;32m~/langchain/libs/core/langchain_core/runnables/config.py:347\u001b[0m, in \u001b[0;36mcall_func_with_variable_args\u001b[0;34m(func, input, config, run_manager, **kwargs)\u001b[0m\n\u001b[1;32m 345\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m run_manager \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m accepts_run_manager(func):\n\u001b[1;32m 346\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrun_manager\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m run_manager\n\u001b[0;32m--> 347\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
|
"Cell \u001b[0;32mIn[9], line 14\u001b[0m, in \u001b[0;36mhuman_approval\u001b[0;34m(msg)\u001b[0m\n\u001b[1;32m 12\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28minput\u001b[39m(input_msg)\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m resp\u001b[38;5;241m.\u001b[39mlower() \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myes\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m---> 14\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTool invocations not approved:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mtool_strs\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 15\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m msg\n",
|
|
"\u001b[0;31mValueError\u001b[0m: Tool invocations not approved:\n\n{\n \"name\": \"send_email\",\n \"args\": {\n \"message\": \"What's up homie\",\n \"recipient\": \"sally@gmail.com\"\n },\n \"id\": \"toolu_0158qJVd1AL32Y1xxYUAtNEy\"\n}"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"chain.invoke(\"Send sally@gmail.com an email saying 'What's up homie'\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e938d8f1-df93-4726-a465-78e596312246",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.10.1"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|