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Harrison Chase 11 months ago committed by GitHub
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commit ace442b992
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2 changed files with 14 additions and 35 deletions
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47
docs/extras/modules/agents/agent_types/openai_multi_functions_agent.ipynb
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@ -5,7 +5,7 @@
"id": "9502d5b0",
"metadata": {},
"source": [
"# OpenAI Functions Agent\n",
"# OpenAI Multi Functions Agent\n",
"\n",
"This notebook showcases using an agent that uses the OpenAI functions ability to respond to the prompts of the user using a Large Language Model\n",
"\n",
@ -16,27 +16,12 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 2,
"id": "c0a83623",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/harrisonchase/.pyenv/versions/3.9.1/envs/langchain/lib/python3.9/site-packages/deeplake/util/check_latest_version.py:32: UserWarning: A newer version of deeplake (3.6.5) is available. It's recommended that you update to the latest version using `pip install -U deeplake`.\n",
" warnings.warn(\n"
]
}
],
"outputs": [],
"source": [
"from langchain import (\n",
" LLMMathChain,\n",
" OpenAI,\n",
" SerpAPIWrapper,\n",
" SQLDatabase,\n",
" SQLDatabaseChain,\n",
")\n",
"from langchain import SerpAPIWrapper\n",
"from langchain.agents import initialize_agent, Tool\n",
"from langchain.agents import AgentType\n",
"from langchain.chat_models import ChatOpenAI"
@ -47,21 +32,15 @@
"id": "86198d9c",
"metadata": {},
"source": [
"The agent is given ability to perform 3 search functionalities with the respective tools\n",
"The agent is given ability to perform search functionalities with the respective tool\n",
"\n",
"SerpAPIWrapper:\n",
">This initializes the SerpAPIWrapper for search functionality (search).\n",
"\n",
"LLMMathChain Initialization:\n",
">This component provides math-related functionality.\n",
"\n",
"SQL Database Initialization:\n",
">This component provides the agent to query in Custom Data Base.\n"
">This initializes the SerpAPIWrapper for search functionality (search).\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"id": "6fefaba2",
"metadata": {},
"outputs": [],
@ -86,7 +65,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 4,
"id": "9ff6cee9",
"metadata": {},
"outputs": [],
@ -128,7 +107,7 @@
" \"System: You are a helpful AI assistant.\\nHuman: What is the weather in LA and SF?\"\n",
" ]\n",
"}\n",
"\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 2:llm:ChatOpenAI] [2.76s] Exiting LLM run with output:\n",
"\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 2:llm:ChatOpenAI] [2.91s] Exiting LLM run with output:\n",
"\u001b[0m{\n",
" \"generations\": [\n",
" [\n",
@ -160,11 +139,11 @@
"}\n",
"\u001b[32;1m\u001b[1;3m[tool/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 3:tool:Search] Entering Tool run with input:\n",
"\u001b[0m\"{'tool_input': 'weather in Los Angeles'}\"\n",
"\u001b[36;1m\u001b[1;3m[tool/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 3:tool:Search] [112.99199999999999ms] Exiting Tool run with output:\n",
"\u001b[36;1m\u001b[1;3m[tool/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 3:tool:Search] [608.693ms] Exiting Tool run with output:\n",
"\u001b[0m\"Mostly cloudy early, then sunshine for the afternoon. High 76F. Winds SW at 5 to 10 mph. Humidity59%.\"\n",
"\u001b[32;1m\u001b[1;3m[tool/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 4:tool:Search] Entering Tool run with input:\n",
"\u001b[0m\"{'tool_input': 'weather in San Francisco'}\"\n",
"\u001b[36;1m\u001b[1;3m[tool/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 4:tool:Search] [522.576ms] Exiting Tool run with output:\n",
"\u001b[36;1m\u001b[1;3m[tool/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 4:tool:Search] [517.475ms] Exiting Tool run with output:\n",
"\u001b[0m\"Partly cloudy this evening, then becoming cloudy after midnight. Low 53F. Winds WSW at 10 to 20 mph. Humidity83%.\"\n",
"\u001b[32;1m\u001b[1;3m[llm/start]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 5:llm:ChatOpenAI] Entering LLM run with input:\n",
"\u001b[0m{\n",
@ -172,7 +151,7 @@
" \"System: You are a helpful AI assistant.\\nHuman: What is the weather in LA and SF?\\nAI: {'name': 'tool_selection', 'arguments': '{\\\\n \\\"actions\\\": [\\\\n {\\\\n \\\"action_name\\\": \\\"Search\\\",\\\\n \\\"action\\\": {\\\\n \\\"tool_input\\\": \\\"weather in Los Angeles\\\"\\\\n }\\\\n },\\\\n {\\\\n \\\"action_name\\\": \\\"Search\\\",\\\\n \\\"action\\\": {\\\\n \\\"tool_input\\\": \\\"weather in San Francisco\\\"\\\\n }\\\\n }\\\\n ]\\\\n}'}\\nFunction: Mostly cloudy early, then sunshine for the afternoon. High 76F. Winds SW at 5 to 10 mph. Humidity59%.\\nAI: {'name': 'tool_selection', 'arguments': '{\\\\n \\\"actions\\\": [\\\\n {\\\\n \\\"action_name\\\": \\\"Search\\\",\\\\n \\\"action\\\": {\\\\n \\\"tool_input\\\": \\\"weather in Los Angeles\\\"\\\\n }\\\\n },\\\\n {\\\\n \\\"action_name\\\": \\\"Search\\\",\\\\n \\\"action\\\": {\\\\n \\\"tool_input\\\": \\\"weather in San Francisco\\\"\\\\n }\\\\n }\\\\n ]\\\\n}'}\\nFunction: Partly cloudy this evening, then becoming cloudy after midnight. Low 53F. Winds WSW at 10 to 20 mph. Humidity83%.\"\n",
" ]\n",
"}\n",
"\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 5:llm:ChatOpenAI] [1.88s] Exiting LLM run with output:\n",
"\u001b[36;1m\u001b[1;3m[llm/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor > 5:llm:ChatOpenAI] [2.33s] Exiting LLM run with output:\n",
"\u001b[0m{\n",
" \"generations\": [\n",
" [\n",
@ -197,7 +176,7 @@
" },\n",
" \"run\": null\n",
"}\n",
"\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor] [5.28s] Exiting Chain run with output:\n",
"\u001b[36;1m\u001b[1;3m[chain/end]\u001b[0m \u001b[1m[1:chain:AgentExecutor] [6.37s] Exiting Chain run with output:\n",
"\u001b[0m{\n",
" \"output\": \"The weather in Los Angeles is mostly cloudy with a high of 76°F and a humidity of 59%. The weather in San Francisco is partly cloudy in the evening, becoming cloudy after midnight, with a low of 53°F and a humidity of 83%.\"\n",
"}\n"

2
pyproject.toml
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@ -1,6 +1,6 @@
[tool.poetry]
name = "langchain"
version = "0.0.207"
version = "0.0.208"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"

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