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Callbacks Refactor [base] (#3256)

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Co-authored-by: Nuno Campos <nuno@boringbits.io>
Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com>
Co-authored-by: Zander Chase <130414180+vowelparrot@users.noreply.github.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
This commit is contained in:
Ankush Gola
2023-04-30 11:14:09 -07:00
committed by GitHub
parent 18ec22fe56
commit d3ec00b566
208 changed files with 6394 additions and 3353 deletions
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294
docs/modules/agents/agent_executors/examples/async_agent.ipynb
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@@ -28,7 +28,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 7,
"id": "da5df06c-af6f-4572-b9f5-0ab971c16487",
"metadata": {
"tags": []
@@ -42,7 +42,6 @@
"from langchain.agents import AgentType\n",
"from langchain.llms import OpenAI\n",
"from langchain.callbacks.stdout import StdOutCallbackHandler\n",
"from langchain.callbacks.base import CallbackManager\n",
"from langchain.callbacks.tracers import LangChainTracer\n",
"from aiohttp import ClientSession\n",
"\n",
@@ -57,7 +56,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 8,
"id": "fd4c294e-b1d6-44b8-b32e-2765c017e503",
"metadata": {
"tags": []
@@ -73,16 +72,15 @@
"\u001b[32;1m\u001b[1;3m I need to find out who won the US Open men's final in 2019 and then calculate his age raised to the 0.334 power.\n",
"Action: Search\n",
"Action Input: \"US Open men's final 2019 winner\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mRafael Nadal\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Rafael Nadal's age\n",
"Observation: \u001b[33;1m\u001b[1;3mRafael Nadal defeated Daniil Medvedev in the final, 7–5, 6–3, 5–7, 4–6, 6–4 to win the men's singles tennis title at the 2019 US Open. It was his fourth US ...\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out the age of the winner\n",
"Action: Search\n",
"Action Input: \"Rafael Nadal age\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m36 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 36 raised to the 0.334 power\n",
"Thought:\u001b[32;1m\u001b[1;3m I now need to calculate his age raised to the 0.334 power\n",
"Action: Calculator\n",
"Action Input: 36^0.334\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 3.3098250249682484\n",
"\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 3.3098250249682484\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Rafael Nadal, aged 36, won the US Open men's final in 2019 and his age raised to the 0.334 power is 3.3098250249682484.\u001b[0m\n",
"\n",
@@ -93,18 +91,17 @@
"\u001b[32;1m\u001b[1;3m I need to find out who Olivia Wilde's boyfriend is and then calculate his age raised to the 0.23 power.\n",
"Action: Search\n",
"Action Input: \"Olivia Wilde boyfriend\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mJason Sudeikis\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Jason Sudeikis' age\n",
"Observation: \u001b[33;1m\u001b[1;3mOlivia Wilde started dating Harry Styles after ending her years-long engagement to Jason Sudeikis — see their relationship timeline.\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Harry Styles' age.\n",
"Action: Search\n",
"Action Input: \"Jason Sudeikis age\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m47 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 47 raised to the 0.23 power\n",
"Action Input: \"Harry Styles age\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m29 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 29 raised to the 0.23 power.\n",
"Action: Calculator\n",
"Action Input: 47^0.23\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.4242784855673896\n",
"\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Jason Sudeikis, Olivia Wilde's boyfriend, is 47 years old and his age raised to the 0.23 power is 2.4242784855673896.\u001b[0m\n",
"Action Input: 29^0.23\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.169459462491557\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
"Final Answer: Harry Styles, Olivia Wilde's boyfriend, is 29 years old and his age raised to the 0.23 power is 2.169459462491557.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"\n",
@@ -113,17 +110,17 @@
"\u001b[32;1m\u001b[1;3m I need to find out who won the grand prix and then calculate their age raised to the 0.23 power.\n",
"Action: Search\n",
"Action Input: \"Formula 1 Grand Prix Winner\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mMax Verstappen\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Max Verstappen's age\n",
"Observation: \u001b[33;1m\u001b[1;3mMichael Schumacher (top left) and Lewis Hamilton (top right) have each won the championship a record seven times during their careers, while Sebastian Vettel ( ...\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out the age of the winner\n",
"Action: Search\n",
"Action Input: \"Max Verstappen Age\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m25 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 25 raised to the 0.23 power\n",
"Action Input: \"Michael Schumacher age\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m54 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate the age raised to the 0.23 power\n",
"Action: Calculator\n",
"Action Input: 25^0.23\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 1.84599359907945\u001b[0m\n",
"Action Input: 54^0.23\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.502940725307012\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Max Verstappen, 25 years old, raised to the 0.23 power is 1.84599359907945.\u001b[0m\n",
"Final Answer: Michael Schumacher, aged 54, raised to the 0.23 power is 2.502940725307012.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"\n",
@@ -132,18 +129,17 @@
"\u001b[32;1m\u001b[1;3m I need to find out who won the US Open women's final in 2019 and then calculate her age raised to the 0.34 power.\n",
"Action: Search\n",
"Action Input: \"US Open women's final 2019 winner\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mBianca Andreescu defeated Serena Williams in the final, 6–3, 7–5 to win the women's singles tennis title at the 2019 US Open. It was her first major title, and she became the first Canadian, as well as the first player born in the 2000s, to win a major singles title.\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Bianca Andreescu's age.\n",
"Observation: \u001b[33;1m\u001b[1;3mBianca Andreescu\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out her age\n",
"Action: Search\n",
"Action Input: \"Bianca Andreescu age\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m22 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the age of Bianca Andreescu and can calculate her age raised to the 0.34 power.\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate her age raised to the 0.34 power\n",
"Action: Calculator\n",
"Action Input: 22^0.34\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.8603798598506933\n",
"\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
"Final Answer: Bianca Andreescu won the US Open women's final in 2019 and her age raised to the 0.34 power is 2.8603798598506933.\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.8603798598506933\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Bianca Andreescu, aged 22, won the US Open women's final in 2019 and her age raised to the 0.34 power is 2.86.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"\n",
@@ -160,35 +156,32 @@
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 53 raised to the 0.19 power\n",
"Action: Calculator\n",
"Action Input: 53^0.19\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.12624064206896\n",
"\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.12624064206896\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Jay-Z is Beyonce's husband and his age raised to the 0.19 power is 2.12624064206896.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"Serial executed in 65.11 seconds.\n"
"Serial executed in 52.47 seconds.\n"
]
}
],
"source": [
"def generate_serially():\n",
" for q in questions:\n",
" llm = OpenAI(temperature=0)\n",
" tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm)\n",
" agent = initialize_agent(\n",
" tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
" )\n",
" agent.run(q)\n",
"llm = OpenAI(temperature=0)\n",
"tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm)\n",
"agent = initialize_agent(\n",
" tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
")\n",
"\n",
"s = time.perf_counter()\n",
"generate_serially()\n",
"for q in questions:\n",
" agent.run(q)\n",
"elapsed = time.perf_counter() - s\n",
"print(f\"Serial executed in {elapsed:0.2f} seconds.\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 9,
"id": "076d7b85-45ec-465d-8b31-c2ad119c3438",
"metadata": {
"tags": []
@@ -202,6 +195,9 @@
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\n",
"\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\n",
@@ -210,182 +206,94 @@
"\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3m I need to find out who Olivia Wilde's boyfriend is and then calculate his age raised to the 0.23 power.\n",
"Action: Search\n",
"Action Input: \"Olivia Wilde boyfriend\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out who Beyonce's husband is and then calculate his age raised to the 0.19 power.\n",
"Action: Search\n",
"Action Input: \"Who is Beyonce's husband?\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mJay-Z\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out who won the grand prix and then calculate their age raised to the 0.23 power.\n",
"Action: Search\n",
"Action Input: \"Formula 1 Grand Prix Winner\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out who won the US Open women's final in 2019 and then calculate her age raised to the 0.34 power.\n",
"\u001b[32;1m\u001b[1;3m I need to find out who won the US Open women's final in 2019 and then calculate her age raised to the 0.34 power.\n",
"Action: Search\n",
"Action Input: \"US Open women's final 2019 winner\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mJason Sudeikis\u001b[0m\n",
"Thought:\n",
"Observation: \u001b[33;1m\u001b[1;3mMax Verstappen\u001b[0m\n",
"Thought:\n",
"Observation: \u001b[33;1m\u001b[1;3mBianca Andreescu defeated Serena Williams in the final, 6–3, 7–5 to win the women's singles tennis title at the 2019 US Open. It was her first major title, and she became the first Canadian, as well as the first player born in the 2000s, to win a major singles title.\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Jason Sudeikis' age\n",
"Action: Search\n",
"Action Input: \"Jason Sudeikis age\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out Jay-Z's age\n",
"Action: Search\n",
"Action Input: \"How old is Jay-Z?\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m53 years\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mBianca Andreescu\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out who won the US Open men's final in 2019 and then calculate his age raised to the 0.334 power.\n",
"Action: Search\n",
"Action Input: \"US Open men's final 2019 winner\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mRafael Nadal defeated Daniil Medvedev in the final, 7–5, 6–3, 5–7, 4–6, 6–4 to win the men's singles tennis title at the 2019 US Open. It was his fourth US ...\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out who Olivia Wilde's boyfriend is and then calculate his age raised to the 0.23 power.\n",
"Action: Search\n",
"Action Input: \"Olivia Wilde boyfriend\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out who won the grand prix and then calculate their age raised to the 0.23 power.\n",
"Action: Search\n",
"Action Input: \"Formula 1 Grand Prix Winner\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out who Beyonce's husband is and then calculate his age raised to the 0.19 power.\n",
"Action: Search\n",
"Action Input: \"Who is Beyonce's husband?\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mOlivia Wilde started dating Harry Styles after ending her years-long engagement to Jason Sudeikis — see their relationship timeline.\u001b[0m\n",
"Thought:\n",
"Observation: \u001b[33;1m\u001b[1;3m47 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Max Verstappen's age\n",
"Observation: \u001b[33;1m\u001b[1;3mJay-Z\u001b[0m\n",
"Thought:\n",
"Observation: \u001b[33;1m\u001b[1;3mMichael Schumacher (top left) and Lewis Hamilton (top right) have each won the championship a record seven times during their careers, while Sebastian Vettel ( ...\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out her age\n",
"Action: Search\n",
"Action Input: \"Max Verstappen Age\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m25 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Bianca Andreescu's age.\n",
"Action Input: \"Bianca Andreescu age\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out Jay-Z's age\n",
"Action: Search\n",
"Action Input: \"Bianca Andreescu age\"\u001b[0m\n",
"Action Input: \"How old is Jay-Z?\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m53 years\u001b[0m\n",
"Thought:\n",
"Observation: \u001b[33;1m\u001b[1;3m22 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 53 raised to the 0.19 power\n",
"Action: Calculator\n",
"Action Input: 53^0.19\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out the age of the winner\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Harry Styles' age.\n",
"Action: Search\n",
"Action Input: \"Rafael Nadal age\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to calculate 47 raised to the 0.23 power\n",
"Action Input: \"Harry Styles age\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m29 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate her age raised to the 0.34 power\n",
"Action: Calculator\n",
"Action Input: 47^0.23\u001b[0m\n",
"Action Input: 22^0.34\u001b[0m\u001b[32;1m\u001b[1;3m I need to calculate 53 raised to the 0.19 power\n",
"Action: Calculator\n",
"Action Input: 53^0.19\u001b[0m\u001b[32;1m\u001b[1;3m I need to calculate 29 raised to the 0.23 power.\n",
"Action: Calculator\n",
"Action Input: 29^0.23\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out the age of the winner\n",
"Action: Search\n",
"Action Input: \"Rafael Nadal age\"\u001b[0m\u001b[32;1m\u001b[1;3m I need to find out the age of the winner\n",
"Action: Search\n",
"Action Input: \"Michael Schumacher age\"\u001b[0m\n",
"Observation: \n",
"Observation: \u001b[33;1m\u001b[1;3m36 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 25 raised to the 0.23 power\n",
"Action: Calculator\n",
"Action Input: 25^0.23\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.12624064206896\n",
"\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the age of Bianca Andreescu and can calculate her age raised to the 0.34 power.\n",
"Action: Calculator\n",
"Action Input: 22^0.34\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 1.84599359907945\u001b[0m\n",
"Thought:\u001b[33;1m\u001b[1;3m54 years\u001b[0m\n",
"Thought:\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.4242784855673896\n",
"\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now need to calculate his age raised to the 0.334 power\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.8603798598506933\u001b[0m\n",
"Thought:\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.169459462491557\u001b[0m\n",
"Thought:\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.12624064206896\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate the age raised to the 0.334 power\n",
"Action: Calculator\n",
"Action Input: 36^0.334\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.8603798598506933\n",
"\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Jay-Z is Beyonce's husband and his age raised to the 0.19 power is 2.12624064206896.\u001b[0m\n",
"\n",
"Action Input: 36^0.334\u001b[0m\u001b[32;1m\u001b[1;3m I now need to calculate the age raised to the 0.23 power\n",
"Action: Calculator\n",
"Action Input: 54^0.23\u001b[0m\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Max Verstappen, 25 years old, raised to the 0.23 power is 1.84599359907945.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 3.3098250249682484\n",
"\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Jason Sudeikis, Olivia Wilde's boyfriend, is 47 years old and his age raised to the 0.23 power is 2.4242784855673896.\u001b[0m\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 3.3098250249682484\u001b[0m\n",
"Thought:\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 2.502940725307012\u001b[0m\n",
"Thought:\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
"Final Answer: Bianca Andreescu won the US Open women's final in 2019 and her age raised to the 0.34 power is 2.8603798598506933.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Rafael Nadal, aged 36, won the US Open men's final in 2019 and his age raised to the 0.334 power is 3.3098250249682484.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n",
"Concurrent executed in 12.38 seconds.\n"
"Concurrent executed in 14.49 seconds.\n"
]
}
],
"source": [
"async def generate_concurrently():\n",
" agents = []\n",
" # To make async requests in Tools more efficient, you can pass in your own aiohttp.ClientSession, \n",
" # but you must manually close the client session at the end of your program/event loop\n",
" aiosession = ClientSession()\n",
" for _ in questions:\n",
" manager = CallbackManager([StdOutCallbackHandler()])\n",
" llm = OpenAI(temperature=0, callback_manager=manager)\n",
" async_tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm, aiosession=aiosession, callback_manager=manager)\n",
" agents.append(\n",
" initialize_agent(async_tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, callback_manager=manager)\n",
" )\n",
" tasks = [async_agent.arun(q) for async_agent, q in zip(agents, questions)]\n",
" await asyncio.gather(*tasks)\n",
" await aiosession.close()\n",
"llm = OpenAI(temperature=0)\n",
"tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm)\n",
"agent = initialize_agent(\n",
" tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
")\n",
"\n",
"s = time.perf_counter()\n",
"# If running this outside of Jupyter, use asyncio.run(generate_concurrently())\n",
"await generate_concurrently()\n",
"# If running this outside of Jupyter, use asyncio.run or loop.run_until_complete\n",
"tasks = [agent.arun(q) for q in questions]\n",
"await asyncio.gather(*tasks)\n",
"elapsed = time.perf_counter() - s\n",
"print(f\"Concurrent executed in {elapsed:0.2f} seconds.\")"
]
},
{
"cell_type": "markdown",
"id": "97ef285c-4a43-4a4e-9698-cd52a1bc56c9",
"metadata": {},
"source": [
"## Using Tracing with Asynchronous Agents\n",
"\n",
"To use tracing with async agents, you must pass in a custom `CallbackManager` with `LangChainTracer` to each agent running asynchronously. This way, you avoid collisions while the trace is being collected."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "44bda05a-d33e-4e91-9a71-a0f3f96aae95",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3m I need to find out who won the US Open men's final in 2019 and then calculate his age raised to the 0.334 power.\n",
"Action: Search\n",
"Action Input: \"US Open men's final 2019 winner\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3mRafael Nadal\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to find out Rafael Nadal's age\n",
"Action: Search\n",
"Action Input: \"Rafael Nadal age\"\u001b[0m\n",
"Observation: \u001b[33;1m\u001b[1;3m36 years\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I need to calculate 36 raised to the 0.334 power\n",
"Action: Calculator\n",
"Action Input: 36^0.334\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 3.3098250249682484\n",
"\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
"Final Answer: Rafael Nadal, aged 36, won the US Open men's final in 2019 and his age raised to the 0.334 power is 3.3098250249682484.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
}
],
"source": [
"# To make async requests in Tools more efficient, you can pass in your own aiohttp.ClientSession, \n",
"# but you must manually close the client session at the end of your program/event loop\n",
"aiosession = ClientSession()\n",
"tracer = LangChainTracer()\n",
"tracer.load_default_session()\n",
"manager = CallbackManager([StdOutCallbackHandler(), tracer])\n",
"\n",
"# Pass the manager into the llm if you want llm calls traced.\n",
"llm = OpenAI(temperature=0, callback_manager=manager)\n",
"\n",
"async_tools = load_tools([\"llm-math\", \"serpapi\"], llm=llm, aiosession=aiosession)\n",
"async_agent = initialize_agent(async_tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, callback_manager=manager)\n",
"await async_agent.arun(questions[0])\n",
"await aiosession.close()"
]
}
],
"metadata": {
@@ -404,7 +312,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
"version": "3.10.9"
}
},
"nbformat": 4,

1
docs/modules/agents/agents/custom_agent_with_tool_retrieval.ipynb
View File

@@ -373,6 +373,7 @@
"metadata": {},
"outputs": [],
"source": [
"tools = get_tools(\"whats the weather?\")\n",
"tool_names = [tool.name for tool in tools]\n",
"agent = LLMSingleActionAgent(\n",
" llm_chain=llm_chain, \n",

3
docs/modules/agents/tools/examples/arxiv.ipynb
View File

@@ -75,6 +75,7 @@
}
],
"source": [
"\n",
"arxiv = ArxivAPIWrapper()\n",
"docs = arxiv.run(\"1605.08386\")\n",
"docs"
@@ -163,7 +164,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.10.6"
}
},
"nbformat": 4,

5
docs/modules/agents/tools/examples/gradio_tools.ipynb
View File

@@ -69,7 +69,8 @@
}
],
"source": [
"StableDiffusionTool().langchain.run(\"Please create a photo of a dog riding a skateboard\")"
"local_file_path = StableDiffusionTool().langchain.run(\"Please create a photo of a dog riding a skateboard\")\n",
"local_file_path"
]
},
{
@@ -89,7 +90,7 @@
"metadata": {},
"outputs": [],
"source": [
"im = Image.open(\"/Users/harrisonchase/workplace/langchain/docs/modules/agents/tools/examples/b61c1dd9-47e2-46f1-a47c-20d27640993d/tmp4ap48vnm.jpg\")"
"im = Image.open(local_file_path)"
]
},
{

10
docs/modules/agents/tools/examples/python.ipynb
View File

@@ -19,6 +19,7 @@
"metadata": {},
"outputs": [],
"source": [
"from langchain.agents import Tool\n",
"from langchain.utilities import PythonREPL"
]
},
@@ -59,7 +60,14 @@
"id": "54fc1f03",
"metadata": {},
"outputs": [],
"source": []
"source": [
"# You can create the tool to pass to an agent\n",
"repl_tool = Tool(\n",
" name=\"python_repl\",\n",
" description=\"A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.\",\n",
" func=python_repl\n",
")"
]
}
],
"metadata": {

10
docs/modules/agents/tools/examples/serpapi.ipynb
View File

@@ -102,7 +102,15 @@
"id": "e0a1dc1c",
"metadata": {},
"outputs": [],
"source": []
"source": [
"from langchain.agents import Tool\n",
"# You can create the tool to pass to an agent\n",
"repl_tool = Tool(\n",
" name=\"python_repl\",\n",
" description=\"A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.\",\n",
" func=search.run,\n",
")"
]
}
],
"metadata": {