TotalSales DESC LIMIT 10    Observation: [('USA', 523.0600000000003), ('Canada', 303.9599999999999), ('France', 195.09999999999994), ('Brazil', 190.09999999999997), ('Germany', 156.48), ('United Kingdom', 112.85999999999999), ('Czech Republic', 90.24000000000001), ('Portugal', 77.23999999999998), ('India', 75.25999999999999), ('Chile', 46.62)]    Thought: I now know the final answer    Final Answer: The country with the highest total sales is the USA, with a total of $523.06.        > Finished chain.    'The country with the highest total sales is the USA, with a total of $523.06.'Looking at the LangSmith trace, we can see:The agent is using a ReAct style promptFirst, it will look at the tables: Action: sql_db_list_tables using tool sql_db_list_tablesGiven the tables as an observation, it thinks and then determinates the next action:Observation: Album, Artist, Customer, Employee, Genre, Invoice, InvoiceLine, MediaType, Playlist, PlaylistTrack, TrackThought: I should query the schema of the Invoice and Customer tables.Action: sql_db_schemaAction Input: Invoice, CustomerIt then formulates the query using the schema from tool sql_db_schemaThought: I should query the total sales per country.Action: sql_db_queryAction Input: SELECT Country, SUM(Total) AS TotalSales FROM Invoice INNER JOIN Customer ON Invoice.CustomerId = Customer.CustomerId GROUP BY Country ORDER BY TotalSales DESC LIMIT 10It finally executes the generated query using tool sql_db_queryAgent task example #2 - Describing a Table‚Äãagent_executor.run("Describe the playlisttrack table")            > Entering new AgentExecutor chain...    Action: sql_db_list_tables    Action Input:     Observation: Album, Artist, Customer, Employee, Genre, Invoice, InvoiceLine, MediaType, Playlist, PlaylistTrack, Track    Thought: The PlaylistTrack table is the most relevant to the question.    Action: sql_db_schema    Action Input: PlaylistTrack    Observation:     CREATE TABLE "PlaylistTrack" (        "PlaylistId" INTEGER
Open In Colab
Open In Colab ->: TotalSales DESC LIMIT 10    Observation: [('USA', 523.0600000000003), ('Canada', 303.9599999999999), ('France', 195.09999999999994), ('Brazil', 190.09999999999997), ('Germany', 156.48), ('United Kingdom', 112.85999999999999), ('Czech Republic', 90.24000000000001), ('Portugal', 77.23999999999998), ('India', 75.25999999999999), ('Chile', 46.62)]    Thought: I now know the final answer    Final Answer: The country with the highest total sales is the USA, with a total of $523.06.        > Finished chain.    'The country with the highest total sales is the USA, with a total of $523.06.'Looking at the LangSmith trace, we can see:The agent is using a ReAct style promptFirst, it will look at the tables: Action: sql_db_list_tables using tool sql_db_list_tablesGiven the tables as an observation, it thinks and then determinates the next action:Observation: Album, Artist, Customer, Employee, Genre, Invoice, InvoiceLine, MediaType, Playlist, PlaylistTrack, TrackThought: I should query the schema of the Invoice and Customer tables.Action: sql_db_schemaAction Input: Invoice, CustomerIt then formulates the query using the schema from tool sql_db_schemaThought: I should query the total sales per country.Action: sql_db_queryAction Input: SELECT Country, SUM(Total) AS TotalSales FROM Invoice INNER JOIN Customer ON Invoice.CustomerId = Customer.CustomerId GROUP BY Country ORDER BY TotalSales DESC LIMIT 10It finally executes the generated query using tool sql_db_queryAgent task example #2 - Describing a Table‚Äãagent_executor.run("Describe the playlisttrack table")            > Entering new AgentExecutor chain...    Action: sql_db_list_tables    Action Input:     Observation: Album, Artist, Customer, Employee, Genre, Invoice, InvoiceLine, MediaType, Playlist, PlaylistTrack, Track    Thought: The PlaylistTrack table is the most relevant to the question.    Action: sql_db_schema    Action Input: PlaylistTrack    Observation:     CREATE TABLE "PlaylistTrack" (        "PlaylistId" INTEGER