vehicle inventory (days of supply )(1)3 4 8 13 15 400%\nSolar deployed (MW) 48 106 94 100 67 40%\nStorage deployed (MWh) 846 1,133 2,100 2,462 3,889 360%\nTesla locations(2)787 831 903 963 1,000 27%\nMobile service fleet 1,372 1,453 1,532 1,584 1,692 23%\nSupercharger stations 3,724 3,971 4,283 4,678 4,947 33%\nSupercharger connectors 33,657 36,165 38,883 42,419 45,169 34%\n(1)Days of supply is calculated by dividing new car ending inventory by the relevant quarter‚Äôs deliveries and using 75 trading days (aligned with Automotive News definition).\n(2)Starting in Q1 -2023, we revised our methodology for reporting Tesla‚Äôs physical footprint. This count now includes all sales, del ivery, body shop and service locations globally. O P E R A T I O N A L S U M MA R Y\n(Unaudited)\n6"    }    [llm/start] [1:chain:AgentExecutor > 8:tool:tesla-earnings > 9:chain:RetrievalQA > 10:chain:StuffDocumentsChain > 11:chain:LLMChain > 12:llm:ChatOpenAI] Entering LLM run with input:    {      "prompts": [        "System: Use the following pieces of context to answer the users question. \nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\n----------------\nS U M M A R Y H I G H L I G H T S  \n(1) Excludes SBC (stock -based compensation).\n(2) Free cash flow = operating cash flow less capex.\n(3) Includes cash, cash equivalents and investments.Profitability 11.4% operating margin in Q1\n$2.7B GAAP operating income in Q1\n$2.5B GAAP net income in Q1\n$2.9B non -GAAP net income1in Q1In the current macroeconomic environment, we see this year as a unique \nopportunity for Tesla. As many carmakers are working through challenges with the \nunit economics of their EV programs, we aim to leverage our position as a cost \nleader. We are focused on rapidly growing production, investments in autonomy \nand vehicle software, and remaining on track with our growth investments.\nOur near -term pricing strategy considers a long -term view on per vehicle
This notebook shows how to use an agent to compare two documents.
This notebook shows how to use an agent to compare two documents. ->: vehicle inventory (days of supply )(1)3 4 8 13 15 400%\nSolar deployed (MW) 48 106 94 100 67 40%\nStorage deployed (MWh) 846 1,133 2,100 2,462 3,889 360%\nTesla locations(2)787 831 903 963 1,000 27%\nMobile service fleet 1,372 1,453 1,532 1,584 1,692 23%\nSupercharger stations 3,724 3,971 4,283 4,678 4,947 33%\nSupercharger connectors 33,657 36,165 38,883 42,419 45,169 34%\n(1)Days of supply is calculated by dividing new car ending inventory by the relevant quarter‚Äôs deliveries and using 75 trading days (aligned with Automotive News definition).\n(2)Starting in Q1 -2023, we revised our methodology for reporting Tesla‚Äôs physical footprint. This count now includes all sales, del ivery, body shop and service locations globally. O P E R A T I O N A L S U M MA R Y\n(Unaudited)\n6"    }    [llm/start] [1:chain:AgentExecutor > 8:tool:tesla-earnings > 9:chain:RetrievalQA > 10:chain:StuffDocumentsChain > 11:chain:LLMChain > 12:llm:ChatOpenAI] Entering LLM run with input:    {      "prompts": [        "System: Use the following pieces of context to answer the users question. \nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\n----------------\nS U M M A R Y H I G H L I G H T S  \n(1) Excludes SBC (stock -based compensation).\n(2) Free cash flow = operating cash flow less capex.\n(3) Includes cash, cash equivalents and investments.Profitability 11.4% operating margin in Q1\n$2.7B GAAP operating income in Q1\n$2.5B GAAP net income in Q1\n$2.9B non -GAAP net income1in Q1In the current macroeconomic environment, we see this year as a unique \nopportunity for Tesla. As many carmakers are working through challenges with the \nunit economics of their EV programs, we aim to leverage our position as a cost \nleader. We are focused on rapidly growing production, investments in autonomy \nand vehicle software, and remaining on track with our growth investments.\nOur near -term pricing strategy considers a long -term view on per vehicle