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@ -35,12 +35,28 @@
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"\n",
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"\n",
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"import langchain\n",
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"import langchain\n",
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"from langchain.agents import Tool, initialize_agent, load_tools\n",
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"from langchain.agents import Tool, initialize_agent, load_tools\n",
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"from langchain.chat_models import ChatOpenAI\n",
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"from langchain.llms import OpenAI"
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"from langchain.llms import OpenAI"
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]
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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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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 2,
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"id": "1b62cd48",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# Agent run with tracing. Ensure that OPENAI_API_KEY is set appropriately to run this example.\n",
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"\n",
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"llm = OpenAI(temperature=0)\n",
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"tools = load_tools([\"llm-math\"], llm=llm)"
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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": "bfa16b79-aa4b-4d41-a067-70d1f593f667",
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"id": "bfa16b79-aa4b-4d41-a067-70d1f593f667",
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"metadata": {
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"metadata": {
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"tags": []
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"tags": []
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@ -70,16 +86,12 @@
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"'1.0891804557407723'"
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"'1.0891804557407723'"
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]
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]
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},
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},
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"execution_count": 2,
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"execution_count": 3,
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"metadata": {},
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"metadata": {},
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"output_type": "execute_result"
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"output_type": "execute_result"
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}
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}
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],
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],
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"source": [
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"source": [
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"# Agent run with tracing. Ensure that OPENAI_API_KEY is set appropriately to run this example.\n",
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"\n",
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"llm = OpenAI(temperature=0)\n",
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"tools = load_tools([\"llm-math\"], llm=llm)\n",
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"agent = initialize_agent(\n",
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"agent = initialize_agent(\n",
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" tools, llm, agent=\"zero-shot-react-description\", verbose=True\n",
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" tools, llm, agent=\"zero-shot-react-description\", verbose=True\n",
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")\n",
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")\n",
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@ -87,10 +99,94 @@
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"agent.run(\"What is 2 raised to .123243 power?\")"
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"agent.run(\"What is 2 raised to .123243 power?\")"
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]
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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": "4829eb1d",
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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;3mQuestion: What is 2 raised to .123243 power?\n",
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"Thought: I need a calculator to solve this problem.\n",
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"Action:\n",
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"```\n",
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"{\n",
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" \"action\": \"calculator\",\n",
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" \"action_input\": \"2^0.123243\"\n",
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"}\n",
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"```\n",
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"\u001b[0m\n",
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"Observation: calculator is not a valid tool, try another one.\n",
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"\u001b[32;1m\u001b[1;3mI made a mistake, I need to use the correct tool for this question.\n",
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"Action:\n",
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"```\n",
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"{\n",
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" \"action\": \"calculator\",\n",
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" \"action_input\": \"2^0.123243\"\n",
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"}\n",
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"```\n",
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"\n",
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"\u001b[0m\n",
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"Observation: calculator is not a valid tool, try another one.\n",
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"\u001b[32;1m\u001b[1;3mI made a mistake, the tool name is actually \"calc\" instead of \"calculator\".\n",
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"Action:\n",
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"```\n",
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"{\n",
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" \"action\": \"calc\",\n",
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" \"action_input\": \"2^0.123243\"\n",
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"}\n",
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"```\n",
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"\n",
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"\u001b[0m\n",
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"Observation: calc is not a valid tool, try another one.\n",
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"\u001b[32;1m\u001b[1;3mI made another mistake, the tool name is actually \"Calculator\" instead of \"calc\".\n",
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"Action:\n",
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"```\n",
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"{\n",
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" \"action\": \"Calculator\",\n",
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" \"action_input\": \"2^0.123243\"\n",
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"}\n",
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"```\n",
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"\n",
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"\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 1.0891804557407723\n",
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"\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3mThe final answer is 1.0891804557407723.\n",
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"Final Answer: 1.0891804557407723\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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"'1.0891804557407723'"
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]
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},
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"execution_count": 4,
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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 run with tracing using a chat model\n",
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"agent = initialize_agent(\n",
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" tools, ChatOpenAI(temperature=0), agent=\"chat-zero-shot-react-description\", verbose=True\n",
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")\n",
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"\n",
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"agent.run(\"What is 2 raised to .123243 power?\")"
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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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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"id": "25addd7f",
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"id": "76abfd82",
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": []
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"source": []
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@ -112,7 +208,7 @@
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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"version": "3.10.9"
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"version": "3.9.1"
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}
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}
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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