mirror of
https://github.com/hwchase17/langchain.git
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docs: replace initialize_agent with create_react_agent in searchapi.ipynb (#31184)
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This commit is contained in:
Michael Li
GitHub
parent
77d3f04e0a
commit
65fbbb0249
@ -12,7 +12,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 1,
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"id": "70871a99-ffee-47d7-8e02-82eb99971f28",
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"metadata": {},
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"outputs": [],
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@ -51,7 +51,7 @@
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{
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"data": {
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"text/plain": [
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"'Barack Hussein Obama II'"
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"'Barack Obama Full name: Barack Hussein Obama II'"
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]
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},
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"execution_count": 4,
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@ -73,7 +73,7 @@
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "17a9b1ad-6e84-4949-8ebd-8c52f6b296e3",
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"metadata": {},
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"outputs": [],
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@ -83,48 +83,11 @@
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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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"execution_count": 6,
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"id": "cf8970a5-00e1-46bd-ba53-6a974eebbc10",
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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 Yes.\n",
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||||
"Follow up: How old was Plato when he died?\u001b[0m\n",
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"Intermediate answer: \u001b[36;1m\u001b[1;3meighty\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3mFollow up: How old was Socrates when he died?\u001b[0m\n",
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"Intermediate answer: \u001b[36;1m\u001b[1;3m| Socrates | \n",
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"| -------- | \n",
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"| Born | c. 470 BC Deme Alopece, Athens | \n",
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"| Died | 399 BC (aged approximately 71) Athens | \n",
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"| Cause of death | Execution by forced suicide by poisoning | \n",
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"| Spouse(s) | Xanthippe, Myrto | \n",
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"\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3mFollow up: How old was Aristotle when he died?\u001b[0m\n",
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"Intermediate answer: \u001b[36;1m\u001b[1;3m62 years\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3mSo the final answer is: Plato\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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"data": {
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"text/plain": [
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"'Plato'"
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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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"outputs": [],
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"source": [
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"from langchain.agents import AgentType, initialize_agent\n",
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"from langchain_community.utilities import SearchApiAPIWrapper\n",
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"from langchain_core.tools import Tool\n",
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"from langchain_openai import OpenAI\n",
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@ -133,16 +96,88 @@
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"search = SearchApiAPIWrapper()\n",
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"tools = [\n",
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" Tool(\n",
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" name=\"Intermediate Answer\",\n",
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" name=\"intermediate_answer\",\n",
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" func=search.run,\n",
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" description=\"useful for when you need to ask with search\",\n",
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" )\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": 7,
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"id": "4198dda8-b7a9-4ae9-bcb6-b95e2c7681b9",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langgraph.prebuilt import create_react_agent\n",
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"\n",
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"self_ask_with_search = initialize_agent(\n",
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" tools, llm, agent=AgentType.SELF_ASK_WITH_SEARCH, verbose=True\n",
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")\n",
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"self_ask_with_search.run(\"Who lived longer: Plato, Socrates, or Aristotle?\")"
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"agent = create_react_agent(\"openai:gpt-4.1-mini\", tools)"
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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": "c24ad140-d41f-4e99-a42f-11371c3897b5",
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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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"================================\u001b[1m Human Message \u001b[0m=================================\n",
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"\n",
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"Who lived longer: Plato, Socrates, or Aristotle?\n",
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"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
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"Tool Calls:\n",
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" intermediate_answer (call_Q0JquDV3SWfnn3rkwJkJaffG)\n",
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" Call ID: call_Q0JquDV3SWfnn3rkwJkJaffG\n",
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" Args:\n",
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" __arg1: Lifespan of Plato\n",
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" intermediate_answer (call_j9rXzVlrCcGc8HOFnKUH6j5E)\n",
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" Call ID: call_j9rXzVlrCcGc8HOFnKUH6j5E\n",
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" Args:\n",
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" __arg1: Lifespan of Socrates\n",
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" intermediate_answer (call_IBQT2qn5PzDE6q0ZyfPdhRaX)\n",
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" Call ID: call_IBQT2qn5PzDE6q0ZyfPdhRaX\n",
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" Args:\n",
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" __arg1: Lifespan of Aristotle\n",
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"=================================\u001b[1m Tool Message \u001b[0m=================================\n",
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"Name: intermediate_answer\n",
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"\n",
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"384–322 BC was an Ancient Greek philosopher and polymath. His writings cover a broad range of subjects spanning the natural sciences, philosophy, linguistics, ...\n",
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"The Greek philosopher Aristotle (384-322 B.C.) made significant and lasting contributions to nearly every aspect of human knowledge, ...\n",
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"Aristotle's lifespan (384 - 322) (jan 1, 384 BC – jan 1, 322 BC). Added to timeline: Political Philosophy timeline. ByEdoardo. 25 Aug 2020.\n",
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"Aristotle was one of the greatest philosophers and scientists the world has ever seen. He was born in 384 bc at Stagirus, a Greek seaport on the coast of Thrace ...\n",
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"393–c. 370 bce), king of Macedonia and grandfather of Alexander the Great (reigned 336–323 bce). After his father's death in 367, Aristotle ...\n",
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"It is difficult to rule out that possibility decisively, since little is known about the period of Aristotle's life from 341–335. He evidently ...\n",
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"Lifespan: c. 384 B.C. to 322 B.C.; Contributions: Considered one of the greatest thinkers in various fields including politics, psychology, and ...\n",
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"Aristotle (Greek: Ἀριστοτέλης Aristotélēs, pronounced [aristotélɛːs]) lived 384–322 BC.\n",
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"Aristotle (384 B.C.E.—322 B.C.E.). Aristotle is a towering figure in ancient Greek philosophy, who made important contributions to logic, criticism, ...\n",
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"Aristotle. Born: 384 BC in Stagirus, Macedonia, Greece Died: 322 BC in Chalcis, Euboea, Greece. Aristotle was not primarily a mathematician but made ...\n",
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"==================================\u001b[1m Ai Message \u001b[0m==================================\n",
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"\n",
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"Based on the information:\n",
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"\n",
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"- Plato reportedly lived to be around eighty or eighty-one years old.\n",
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"- Socrates' exact lifespan is not directly stated here, but he is known historically to have lived approximately from 470 BC to 399 BC, making him around 71 years old.\n",
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"- Aristotle lived from 384 BC to 322 BC, which means he was about 62 years old.\n",
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"\n",
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"Therefore, Plato lived longer than both Socrates and Aristotle.\n"
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]
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}
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],
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"source": [
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"input_message = {\n",
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" \"role\": \"user\",\n",
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" \"content\": \"Who lived longer: Plato, Socrates, or Aristotle?\",\n",
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"}\n",
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"\n",
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"for step in agent.stream(\n",
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" {\"messages\": [input_message]},\n",
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" stream_mode=\"values\",\n",
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"):\n",
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" step[\"messages\"][-1].pretty_print()"
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]
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},
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{
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@ -157,7 +192,7 @@
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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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"execution_count": 9,
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"id": "6d0b4411-780a-4dcf-91b6-f3544e31e532",
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"metadata": {},
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"outputs": [],
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@ -167,17 +202,17 @@
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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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"execution_count": 10,
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"id": "34e79449-6b33-4b45-9306-7e3dab1b8599",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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||||
"'Azure AI Engineer Be an XpanderCandidatar-meCandidatar-meCandidatar-me\\n\\nShare:\\n\\nAzure AI Engineer\\n\\nA área Digital Xperience da Xpand IT é uma equipa tecnológica de rápido crescimento que se concentra em tecnologias Microsoft e Mobile. A sua principal missão é fornecer soluções de software de alta qualidade que atendam às necessidades do utilizador final, num mundo tecnológico continuamente exigente e em ritmo acelerado, proporcionando a melhor experiência em termos de personalização, performance'"
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"'No good search result found'"
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]
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},
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"execution_count": 9,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -196,7 +231,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 11,
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"id": "b16b7cd9-f0fe-4030-a36b-bbb52b19da18",
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"metadata": {},
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"outputs": [],
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@ -206,7 +241,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 12,
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"id": "e8adb325-2ad0-4a39-9bc2-d220ec3a29be",
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"metadata": {},
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"outputs": [
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@ -214,22 +249,22 @@
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"name": "stdout",
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||||
"output_type": "stream",
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||||
"text": [
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||||
"{'search_metadata': {'id': 'search_qVdXG2jzvrlqTzayeYoaOb8A',\n",
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"{'search_metadata': {'id': 'search_6Lpb2Z8vDqdsPRbrGkVgQzRy',\n",
|
||||
" 'status': 'Success',\n",
|
||||
" 'created_at': '2023-09-25T15:22:30Z',\n",
|
||||
" 'request_time_taken': 3.21,\n",
|
||||
" 'parsing_time_taken': 0.03,\n",
|
||||
" 'total_time_taken': 3.24,\n",
|
||||
" 'created_at': '2025-05-11T03:39:28Z',\n",
|
||||
" 'request_time_taken': 0.86,\n",
|
||||
" 'parsing_time_taken': 0.01,\n",
|
||||
" 'total_time_taken': 0.87,\n",
|
||||
" 'request_url': 'https://scholar.google.com/scholar?q=Large+Language+Models&hl=en',\n",
|
||||
" 'html_url': 'https://www.searchapi.io/api/v1/searches/search_qVdXG2jzvrlqTzayeYoaOb8A.html',\n",
|
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" 'json_url': 'https://www.searchapi.io/api/v1/searches/search_qVdXG2jzvrlqTzayeYoaOb8A'},\n",
|
||||
" 'html_url': 'https://www.searchapi.io/api/v1/searches/search_6Lpb2Z8vDqdsPRbrGkVgQzRy.html',\n",
|
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" 'json_url': 'https://www.searchapi.io/api/v1/searches/search_6Lpb2Z8vDqdsPRbrGkVgQzRy'},\n",
|
||||
" 'search_parameters': {'engine': 'google_scholar',\n",
|
||||
" 'q': 'Large Language Models',\n",
|
||||
" 'hl': 'en'},\n",
|
||||
" 'search_information': {'query_displayed': 'Large Language Models',\n",
|
||||
" 'total_results': 6420000,\n",
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" 'total_results': 6390000,\n",
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" 'page': 1,\n",
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|
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" 'time_taken_displayed': 0.08},\n",
|
||||
" 'organic_results': [{'position': 1,\n",
|
||||
" 'title': 'ChatGPT for good? On opportunities and '\n",
|
||||
" 'challenges of large language models for '\n",
|
||||
@ -245,15 +280,15 @@
|
||||
" 'we argue that large language models in '\n",
|
||||
" 'education require …',\n",
|
||||
" 'inline_links': {'cited_by': {'cites_id': '8166055256995715258',\n",
|
||||
" 'total': 410,\n",
|
||||
" 'link': 'https://scholar.google.com/scholar?cites=8166055256995715258&as_sdt=5,33&sciodt=0,33&hl=en'},\n",
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|
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|
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|
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|
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||||
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|
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|
||||
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||||
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" {'query': 'emergent abilities of large language models',\n",
|
||||
" 'highlighted': ['emergent abilities of'],\n",
|
||||
" 'link': 'https://scholar.google.com/scholar?hl=en&as_sdt=0,33&qsp=6&q=emergent+abilities+of+large+language+models&qst=ir'},\n",
|
||||
" {'query': 'language models privacy risks',\n",
|
||||
" 'highlighted': ['privacy risks'],\n",
|
||||
" 'link': 'https://scholar.google.com/scholar?hl=en&as_sdt=0,33&qsp=7&q=language+models+privacy+risks&qst=ir'},\n",
|
||||
" {'query': 'language model fine tuning',\n",
|
||||
" 'link': 'https://scholar.google.com/scholar?hl=en&as_sdt=0,5&qsp=5&q=large+language+models+machine+translation&qst=ib'},\n",
|
||||
" {'query': 'large language models zero shot',\n",
|
||||
" 'highlighted': ['zero shot'],\n",
|
||||
" 'link': 'https://scholar.google.com/scholar?hl=en&as_sdt=0,5&qsp=6&q=large+language+models+zero+shot&qst=ib'},\n",
|
||||
" {'query': 'large language models chatgpt',\n",
|
||||
" 'highlighted': ['chatgpt'],\n",
|
||||
" 'link': 'https://scholar.google.com/scholar?hl=en&as_sdt=0,5&qsp=7&q=large+language+models+chatgpt&qst=ib'},\n",
|
||||
" {'query': 'fine tuning large language models',\n",
|
||||
" 'highlighted': ['fine tuning'],\n",
|
||||
" 'link': 'https://scholar.google.com/scholar?hl=en&as_sdt=0,33&qsp=8&q=language+model+fine+tuning&qst=ir'}],\n",
|
||||
" 'link': 'https://scholar.google.com/scholar?hl=en&as_sdt=0,5&qsp=8&q=fine+tuning+large+language+models&qst=ib'}],\n",
|
||||
" 'pagination': {'current': 1,\n",
|
||||
" 'next': 'https://scholar.google.com/scholar?start=10&q=Large+Language+Models&hl=en&as_sdt=0,33',\n",
|
||||
" 'other_pages': {'2': 'https://scholar.google.com/scholar?start=10&q=Large+Language+Models&hl=en&as_sdt=0,33',\n",
|
||||
" '3': 'https://scholar.google.com/scholar?start=20&q=Large+Language+Models&hl=en&as_sdt=0,33',\n",
|
||||
" '4': 'https://scholar.google.com/scholar?start=30&q=Large+Language+Models&hl=en&as_sdt=0,33',\n",
|
||||
" '5': 'https://scholar.google.com/scholar?start=40&q=Large+Language+Models&hl=en&as_sdt=0,33',\n",
|
||||
" '6': 'https://scholar.google.com/scholar?start=50&q=Large+Language+Models&hl=en&as_sdt=0,33',\n",
|
||||
" '7': 'https://scholar.google.com/scholar?start=60&q=Large+Language+Models&hl=en&as_sdt=0,33',\n",
|
||||
" '8': 'https://scholar.google.com/scholar?start=70&q=Large+Language+Models&hl=en&as_sdt=0,33',\n",
|
||||
" '9': 'https://scholar.google.com/scholar?start=80&q=Large+Language+Models&hl=en&as_sdt=0,33',\n",
|
||||
" '10': 'https://scholar.google.com/scholar?start=90&q=Large+Language+Models&hl=en&as_sdt=0,33'}}}\n"
|
||||
" 'next': 'https://scholar.google.com/scholar?start=10&q=Large+Language+Models&hl=en&as_sdt=0,5',\n",
|
||||
" 'other_pages': {'2': 'https://scholar.google.com/scholar?start=10&q=Large+Language+Models&hl=en&as_sdt=0,5',\n",
|
||||
" '3': 'https://scholar.google.com/scholar?start=20&q=Large+Language+Models&hl=en&as_sdt=0,5',\n",
|
||||
" '4': 'https://scholar.google.com/scholar?start=30&q=Large+Language+Models&hl=en&as_sdt=0,5',\n",
|
||||
" '5': 'https://scholar.google.com/scholar?start=40&q=Large+Language+Models&hl=en&as_sdt=0,5',\n",
|
||||
" '6': 'https://scholar.google.com/scholar?start=50&q=Large+Language+Models&hl=en&as_sdt=0,5',\n",
|
||||
" '7': 'https://scholar.google.com/scholar?start=60&q=Large+Language+Models&hl=en&as_sdt=0,5',\n",
|
||||
" '8': 'https://scholar.google.com/scholar?start=70&q=Large+Language+Models&hl=en&as_sdt=0,5',\n",
|
||||
" '9': 'https://scholar.google.com/scholar?start=80&q=Large+Language+Models&hl=en&as_sdt=0,5',\n",
|
||||
" '10': 'https://scholar.google.com/scholar?start=90&q=Large+Language+Models&hl=en&as_sdt=0,5'}}}\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@ -596,6 +646,14 @@
|
||||
"results = search.results(\"Large Language Models\")\n",
|
||||
"pprint.pp(results)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "11ab5938-e298-471d-96fc-50405ffad35c",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
@ -614,7 +672,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.10.12"
|
||||
"version": "3.12.4"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Loading…
Reference in New Issue
Block a user