forked from Archives/langchain
Cleanup and added dependencies to make example executable (#4795)
- Installation of non-colab packages - Get API keys - Get rid of warnings # Cleanup and added dependencies to make notebook executable on hosted notebooks @hwchase17 @vowelparrotdynamic_agent_tools
Mark Pors
1 year ago
committed by
GitHub
parent
bcce9a3a92
commit
5bc7082e82
@ -1,386 +1,383 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "4658d71a",
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"metadata": {},
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"source": [
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"# Conversation Agent (for Chat Models)\n",
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"\n",
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"This notebook walks through using an agent optimized for conversation, using ChatModels. Other agents are often optimized for using tools to figure out the best response, which is not ideal in a conversational setting where you may want the agent to be able to chat with the user as well.\n",
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"\n",
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"This is accomplished with a specific type of agent (`chat-conversational-react-description`) which expects to be used with a memory component."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "f4f5d1a8",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"os.environ[\"LANGCHAIN_HANDLER\"] = \"langchain\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "f65308ab",
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"metadata": {},
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"outputs": [
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"cells": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING:root:Failed to default session, using empty session: HTTPConnectionPool(host='localhost', port=8000): Max retries exceeded with url: /sessions (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x10a1767c0>: Failed to establish a new connection: [Errno 61] Connection refused'))\n"
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]
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}
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],
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"source": [
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"from langchain.agents import Tool\n",
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"from langchain.memory import ConversationBufferMemory\n",
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"from langchain.chat_models import ChatOpenAI\n",
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"from langchain.utilities import SerpAPIWrapper\n",
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"from langchain.agents import initialize_agent\n",
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"from langchain.agents import AgentType"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "5fb14d6d",
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"metadata": {},
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"outputs": [],
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"source": [
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"search = SerpAPIWrapper()\n",
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"tools = [\n",
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" Tool(\n",
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" name = \"Current Search\",\n",
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" func=search.run,\n",
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" description=\"useful for when you need to answer questions about current events or the current state of the world. the input to this should be a single search term.\"\n",
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" ),\n",
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"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "dddc34c4",
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"metadata": {},
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"outputs": [],
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"source": [
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"memory = ConversationBufferMemory(memory_key=\"chat_history\", return_messages=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "cafe9bc1",
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"metadata": {},
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"outputs": [],
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"source": [
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"llm=ChatOpenAI(temperature=0)\n",
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"agent_chain = initialize_agent(tools, llm, agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, verbose=True, memory=memory)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "dc70b454",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING:root:Failed to persist run: HTTPConnectionPool(host='localhost', port=8000): Max retries exceeded with url: /chain-runs (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x13fab40d0>: Failed to establish a new connection: [Errno 61] Connection refused'))\n"
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]
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"cell_type": "markdown",
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"id": "4658d71a",
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"metadata": {
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"id": "4658d71a"
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},
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"source": [
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"# Conversation Agent (for Chat Models)\n",
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"\n",
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"This notebook walks through using an agent optimized for conversation, using ChatModels. Other agents are often optimized for using tools to figure out the best response, which is not ideal in a conversational setting where you may want the agent to be able to chat with the user as well.\n",
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"\n",
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"This is accomplished with a specific type of agent (`chat-conversational-react-description`) which expects to be used with a memory component."
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[32;1m\u001b[1;3m{\n",
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" \"action\": \"Final Answer\",\n",
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" \"action_input\": \"Hello Bob! How can I assist you today?\"\n",
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"}\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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"cell_type": "code",
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"source": [
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"!pip install langchain\n",
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"!pip install google-search-results\n",
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"!pip install openai"
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],
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"metadata": {
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"id": "efpRpEwvNXU5"
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},
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"id": "efpRpEwvNXU5",
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"execution_count": null,
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"outputs": []
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},
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{
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"data": {
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"text/plain": [
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"'Hello Bob! How can I assist you today?'"
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"cell_type": "code",
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"execution_count": 2,
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"id": "f65308ab",
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"metadata": {
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"id": "f65308ab"
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},
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"outputs": [],
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"source": [
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"from langchain.agents import Tool\n",
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"from langchain.memory import ConversationBufferMemory\n",
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"from langchain.chat_models import ChatOpenAI\n",
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"from langchain.utilities import SerpAPIWrapper\n",
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"from langchain.agents import initialize_agent\n",
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"from langchain.agents import AgentType\n",
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"from getpass import getpass"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"agent_chain.run(input=\"hi, i am bob\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "3dcf7953",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING:root:Failed to persist run: HTTPConnectionPool(host='localhost', port=8000): Max retries exceeded with url: /chain-runs (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x13fab44f0>: Failed to establish a new connection: [Errno 61] Connection refused'))\n"
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]
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"cell_type": "code",
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"source": [
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"SERPAPI_API_KEY = getpass()"
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],
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"metadata": {
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"id": "qMOoW5QYNlPQ"
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},
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"id": "qMOoW5QYNlPQ",
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"execution_count": null,
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"outputs": []
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[32;1m\u001b[1;3m{\n",
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" \"action\": \"Final Answer\",\n",
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" \"action_input\": \"Your name is Bob.\"\n",
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"}\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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"cell_type": "code",
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"execution_count": 4,
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"id": "5fb14d6d",
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"metadata": {
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"id": "5fb14d6d"
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},
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"outputs": [],
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"source": [
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"search = SerpAPIWrapper(serpapi_api_key=SERPAPI_API_KEY)\n",
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"tools = [\n",
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" Tool(\n",
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" name = \"Current Search\",\n",
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" func=search.run,\n",
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" description=\"useful for when you need to answer questions about current events or the current state of the world. the input to this should be a single search term.\"\n",
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" ),\n",
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"]"
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]
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},
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{
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"data": {
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"text/plain": [
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"'Your name is Bob.'"
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"cell_type": "code",
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"execution_count": 5,
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"id": "dddc34c4",
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"metadata": {
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"id": "dddc34c4"
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},
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"outputs": [],
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"source": [
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"memory = ConversationBufferMemory(memory_key=\"chat_history\", return_messages=True)"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"agent_chain.run(input=\"what's my name?\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "aa05f566",
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"metadata": {
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"scrolled": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m{\n",
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" \"action\": \"Current Search\",\n",
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" \"action_input\": \"Thai food dinner recipes\"\n",
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"}\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3m59 easy Thai recipes for any night of the week · Marion Grasby's Thai spicy chilli and basil fried rice · Thai curry noodle soup · Marion Grasby's Thai Spicy ...\u001b[0m\n",
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"Thought:"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING:root:Failed to persist run: HTTPConnectionPool(host='localhost', port=8000): Max retries exceeded with url: /chain-runs (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x13fae8be0>: Failed to establish a new connection: [Errno 61] Connection refused'))\n"
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]
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"cell_type": "code",
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"source": [
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"OPENAI_API_KEY = getpass()"
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],
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"metadata": {
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"id": "pJWcpWnoN56_"
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},
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"id": "pJWcpWnoN56_",
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"execution_count": null,
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"outputs": []
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[32;1m\u001b[1;3m{\n",
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" \"action\": \"Final Answer\",\n",
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" \"action_input\": \"Here are some Thai food dinner recipes you can make this week: Thai spicy chilli and basil fried rice, Thai curry noodle soup, and Thai Spicy ... (59 recipes in total).\"\n",
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"}\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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"cell_type": "code",
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"execution_count": 7,
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"id": "cafe9bc1",
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"metadata": {
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"id": "cafe9bc1"
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},
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"outputs": [],
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"source": [
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"llm=ChatOpenAI(openai_api_key=OPENAI_API_KEY, temperature=0)\n",
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"agent_chain = initialize_agent(tools, llm, agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, verbose=True, memory=memory)"
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]
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},
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{
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"data": {
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"text/plain": [
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"'Here are some Thai food dinner recipes you can make this week: Thai spicy chilli and basil fried rice, Thai curry noodle soup, and Thai Spicy ... (59 recipes in total).'"
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"cell_type": "code",
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"execution_count": 8,
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"id": "dc70b454",
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 192
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},
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"id": "dc70b454",
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"outputId": "9e3d6857-72de-472f-b531-9a7b843f1621"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m{\n",
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" \"action\": \"Final Answer\",\n",
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" \"action_input\": \"Hello Bob! How can I assist you today?\"\n",
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"}\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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},
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"'Hello Bob! How can I assist you today?'"
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],
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"application/vnd.google.colaboratory.intrinsic+json": {
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"type": "string"
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}
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},
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"metadata": {},
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"execution_count": 8
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}
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],
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"source": [
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"agent_chain.run(input=\"hi, i am bob\")"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"agent_chain.run(\"what are some good dinners to make this week, if i like thai food?\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "c5d8b7ea",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m```json\n",
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"{\n",
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" \"action\": \"Current Search\",\n",
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" \"action_input\": \"who won the world cup in 1978\"\n",
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"}\n",
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"```\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mArgentina national football team\u001b[0m\n",
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"Thought:"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING:root:Failed to persist run: HTTPConnectionPool(host='localhost', port=8000): Max retries exceeded with url: /chain-runs (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x13fae86d0>: Failed to establish a new connection: [Errno 61] Connection refused'))\n"
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]
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"cell_type": "code",
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"execution_count": 9,
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"id": "3dcf7953",
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 192
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},
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"id": "3dcf7953",
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"outputId": "9afdbf2c-ceed-4835-9975-0841dd2162d6"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m{\n",
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" \"action\": \"Final Answer\",\n",
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" \"action_input\": \"Your name is Bob.\"\n",
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"}\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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},
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"'Your name is Bob.'"
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],
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"application/vnd.google.colaboratory.intrinsic+json": {
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"type": "string"
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}
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},
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"metadata": {},
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"execution_count": 9
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}
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],
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"source": [
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"agent_chain.run(input=\"what's my name?\")"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[32;1m\u001b[1;3m```json\n",
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"{\n",
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" \"action\": \"Final Answer\",\n",
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||||
" \"action_input\": \"The last letter in your name is 'b', and the winner of the 1978 World Cup was the Argentina national football team.\"\n",
|
||||
"}\n",
|
||||
"```\u001b[0m\n",
|
||||
"\n",
|
||||
"\u001b[1m> Finished chain.\u001b[0m\n"
|
||||
]
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"id": "aa05f566",
|
||||
"metadata": {
|
||||
"scrolled": false,
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 316
|
||||
},
|
||||
"id": "aa05f566",
|
||||
"outputId": "d38fe468-6c94-450a-9f07-0044bf7beb34"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"name": "stdout",
|
||||
"text": [
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
|
||||
"\u001b[32;1m\u001b[1;3m{\n",
|
||||
" \"action\": \"Current Search\",\n",
|
||||
" \"action_input\": \"Thai food dinner recipes\"\n",
|
||||
"}\u001b[0m\n",
|
||||
"Observation: \u001b[36;1m\u001b[1;3m64 easy Thai recipes for any night of the week · Thai curry noodle soup · Thai yellow cauliflower, snake bean and tofu curry · Thai-spiced chicken hand pies · Thai ...\u001b[0m\n",
|
||||
"Thought:\u001b[32;1m\u001b[1;3m{\n",
|
||||
" \"action\": \"Final Answer\",\n",
|
||||
" \"action_input\": \"Here are some Thai food dinner recipes you can try this week: Thai curry noodle soup, Thai yellow cauliflower, snake bean and tofu curry, Thai-spiced chicken hand pies, and many more. You can find the full list of recipes at the source I found earlier.\"\n",
|
||||
"}\u001b[0m\n",
|
||||
"\n",
|
||||
"\u001b[1m> Finished chain.\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"output_type": "execute_result",
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"'Here are some Thai food dinner recipes you can try this week: Thai curry noodle soup, Thai yellow cauliflower, snake bean and tofu curry, Thai-spiced chicken hand pies, and many more. You can find the full list of recipes at the source I found earlier.'"
|
||||
],
|
||||
"application/vnd.google.colaboratory.intrinsic+json": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"metadata": {},
|
||||
"execution_count": 10
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"agent_chain.run(\"what are some good dinners to make this week, if i like thai food?\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"\"The last letter in your name is 'b', and the winner of the 1978 World Cup was the Argentina national football team.\""
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"id": "c5d8b7ea",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 192
|
||||
},
|
||||
"id": "c5d8b7ea",
|
||||
"outputId": "105db01e-c0f7-4b82-edd9-ea02a02fc66a"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"name": "stdout",
|
||||
"text": [
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
|
||||
"\u001b[32;1m\u001b[1;3m{\n",
|
||||
" \"action\": \"Final Answer\",\n",
|
||||
" \"action_input\": \"The last letter in your name is 'b'. Argentina won the World Cup in 1978.\"\n",
|
||||
"}\u001b[0m\n",
|
||||
"\n",
|
||||
"\u001b[1m> Finished chain.\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"output_type": "execute_result",
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"\"The last letter in your name is 'b'. Argentina won the World Cup in 1978.\""
|
||||
],
|
||||
"application/vnd.google.colaboratory.intrinsic+json": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"metadata": {},
|
||||
"execution_count": 11
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"agent_chain.run(input=\"tell me the last letter in my name, and also tell me who won the world cup in 1978?\")"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"agent_chain.run(input=\"tell me the last letter in my name, and also tell me who won the world cup in 1978?\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"id": "f608889b",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
|
||||
"\u001b[32;1m\u001b[1;3m{\n",
|
||||
" \"action\": \"Current Search\",\n",
|
||||
" \"action_input\": \"weather in pomfret\"\n",
|
||||
"}\u001b[0m\n",
|
||||
"Observation: \u001b[36;1m\u001b[1;3m10 Day Weather-Pomfret, CT ; Sun 16. 64° · 50°. 24% · NE 7 mph ; Mon 17. 58° · 45°. 70% · ESE 8 mph ; Tue 18. 57° · 37°. 8% · WSW 15 mph.\u001b[0m\n",
|
||||
"Thought:"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"WARNING:root:Failed to persist run: HTTPConnectionPool(host='localhost', port=8000): Max retries exceeded with url: /chain-runs (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x13fa9d7f0>: Failed to establish a new connection: [Errno 61] Connection refused'))\n"
|
||||
]
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"id": "f608889b",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 278
|
||||
},
|
||||
"id": "f608889b",
|
||||
"outputId": "49ea0e17-d8cd-4de9-e119-e6006caea32f"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"output_type": "stream",
|
||||
"name": "stdout",
|
||||
"text": [
|
||||
"\n",
|
||||
"\n",
|
||||
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
|
||||
"\u001b[32;1m\u001b[1;3m{\n",
|
||||
" \"action\": \"Current Search\",\n",
|
||||
" \"action_input\": \"weather in pomfret\"\n",
|
||||
"}\u001b[0m\n",
|
||||
"Observation: \u001b[36;1m\u001b[1;3mCloudy with showers. Low around 55F. Winds S at 5 to 10 mph. Chance of rain 60%. Humidity76%.\u001b[0m\n",
|
||||
"Thought:\u001b[32;1m\u001b[1;3m{\n",
|
||||
" \"action\": \"Final Answer\",\n",
|
||||
" \"action_input\": \"Cloudy with showers. Low around 55F. Winds S at 5 to 10 mph. Chance of rain 60%. Humidity76%.\"\n",
|
||||
"}\u001b[0m\n",
|
||||
"\n",
|
||||
"\u001b[1m> Finished chain.\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"output_type": "execute_result",
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"'Cloudy with showers. Low around 55F. Winds S at 5 to 10 mph. Chance of rain 60%. Humidity76%.'"
|
||||
],
|
||||
"application/vnd.google.colaboratory.intrinsic+json": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"metadata": {},
|
||||
"execution_count": 12
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"agent_chain.run(input=\"whats the weather like in pomfret?\")"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[32;1m\u001b[1;3m{\n",
|
||||
" \"action\": \"Final Answer\",\n",
|
||||
" \"action_input\": \"The weather in Pomfret, CT for the next 10 days is as follows: Sun 16. 64° · 50°. 24% · NE 7 mph ; Mon 17. 58° · 45°. 70% · ESE 8 mph ; Tue 18. 57° · 37°. 8% · WSW 15 mph.\"\n",
|
||||
"}\u001b[0m\n",
|
||||
"\n",
|
||||
"\u001b[1m> Finished chain.\u001b[0m\n"
|
||||
]
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.9.1"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"'The weather in Pomfret, CT for the next 10 days is as follows: Sun 16. 64° · 50°. 24% · NE 7 mph ; Mon 17. 58° · 45°. 70% · ESE 8 mph ; Tue 18. 57° · 37°. 8% · WSW 15 mph.'"
|
||||
]
|
||||
},
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
"colab": {
|
||||
"provenance": []
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"agent_chain.run(input=\"whats the weather like in pomfret?\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "0084efd6",
|
||||
"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": "3.9.1"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue