Untitled
user_9668003
plain_text
a year ago
39 kB
5
Indexable
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_pWpqlzX4WQ4Gi7lGqDr0Ptr0",
"content": "The provided SQLite query does not exhibit any of the common mistakes listed. It correctly filters rows from the `idx_company_report_ltd` table where `subsector` is 'Oil, Gas & Coal' and `net_income` is not null, then orders the results by `net_income` in descending order, and limits the output to the top 15 rows. The query syntax is correct for its intended purpose. Therefore, the original query is reproduced below without any changes:\n\n```sql\nSELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\n```",
"additional_kwargs": {
"name": "query-checker"
},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_HYVjejr17xVOepwDYdazfzyI",
"type": "function",
"function": {
"name": "query-sql",
"arguments": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "query-sql",
"args": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas &
Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}",
"id": "call_HYVjejr17xVOepwDYdazfzyI",
"index": 0
}
],
"tool_calls": [
{
"name": "query-sql",
"args": {
"input": "SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND
net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15"
},
"id": "call_HYVjejr17xVOepwDYdazfzyI"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_HYVjejr17xVOepwDYdazfzyI",
"content": "QueryFailedError: column \"subsector\" does not exist",
"additional_kwargs": {
"name": "query-sql"
},
"response_metadata": {}
}
}
]
}
}
[llm/start] [1:chain:AgentExecutor > 43:chain:OpenAIToolsAgent > 48:llm:ChatOpenAI] Entering LLM run with input: {
"messages": [
[
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"SystemMessage"
],
"kwargs": {
"content": "You are an agent designed to interact with a SQL database.\n Given an input question, create a syntactically correct sqlite query to run, then look at the results of the query and return the answer.\n Unless the user specifies a specific number of examples they wish to obtain, always limit your query to at most 10 results.\n You can order the results by a relevant column to
return the most interesting examples in the database. \n Never query for all the columns from a specific table, only ask for the relevant columns given the question.\n You have access to tools for interacting with the database.\n Only use the given tools. Only use
the information returned by the tools to construct your final answer.\n You MUST use \"sql_db_query_checker\" function before using \"sql_db_query\" function. If you get an error while executing a query, rewrite the query and try again.\n If you need to filter on a
subsector, you must ALWAYS first look up the filter value using the \"search_proper_subsector\" function! \n If the question asks for a list of companies, please provide both the symbols and company names.\n ALWAYS filter out null values for the column used for ordering (\"WHERE column IS NOT NULL\").\n\n DO NOT make any DML statements (INSERT, UPDATE, DELETE, DROP etc.) to the database.\n\n If
the question does not seem related to the database, just return \"I don't know\" and the explanation as the answer.\n\n In your final answer, please explain the column names, filters, aggregate, order and limit used in the final query to arrive at the answer in plain English. Don't mention the word \"SQL\" or \"query\", and don't explain the null values filtering.\n\n Only use the following table:\n Name: idx_company_report_ltd\n Notes: Net Profit and Loss (PnL), earnings and net income are used interchangebly.\n\n ",
"additional_kwargs": {},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"HumanMessage"
],
"kwargs": {
"content": "top 15 energy companies with the fastest growth in net income",
"additional_kwargs": {},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_Iv0imkhFzIQWlYm917hxi6Wu",
"type": "function",
"function": {
"name": "search_proper_subsector",
"arguments": "{\"query\":\"energy\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "search_proper_subsector",
"args": "{\"query\":\"energy\"}",
"id": "call_Iv0imkhFzIQWlYm917hxi6Wu",
"index": 0
}
],
"tool_calls": [
{
"name": "search_proper_subsector",
"args": {
"query": "energy"
},
"id": "call_Iv0imkhFzIQWlYm917hxi6Wu"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_Iv0imkhFzIQWlYm917hxi6Wu",
"content": "Alternative Energy\n\nUtilities\n\nTransportation\n\nMedia & Entertainment\n\nOil, Gas & Coal",
"additional_kwargs": {
"name": "search_proper_subsector"
},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_9K1uAsP6HbkICZEMxFsJsenm",
"type": "function",
"function": {
"name": "query-checker",
"arguments": "{\"input\":\"SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "query-checker",
"args": "{\"input\":\"SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\"}",
"id": "call_9K1uAsP6HbkICZEMxFsJsenm",
"index": 0
}
],
"tool_calls": [
{
"name": "query-checker",
"args": {
"input": "SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15"
},
"id": "call_9K1uAsP6HbkICZEMxFsJsenm"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_9K1uAsP6HbkICZEMxFsJsenm",
"content": "The provided SQLite query does not exhibit any of the common mistakes listed. It correctly filters rows from the `idx_company_report_ltd` table where the `subsector` is 'Oil, Gas & Coal' and `net_income_growth` is not null, then orders the results by `net_income_growth` in descending order, and limits the output to the top 15 rows. The query properly uses `IS NOT NULL` for filtering non-null values, correctly quotes identifiers (none of the identifiers require quoting as they do not contain special characters or reserved keywords), and there's no indication of data type mismatch, improper use of functions, incorrect casting, or errors in column references for joins. Therefore, the original query is reproduced below without changes:\n\n```sql\nSELECT symbol, company_name,
net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\n```",
"additional_kwargs": {
"name": "query-checker"
},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_jdSJuGvkCrXliFU1yiSzvAuW",
"type": "function",
"function": {
"name": "query-sql",
"arguments": "{\"input\":\"SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "query-sql",
"args": "{\"input\":\"SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\"}",
"id": "call_jdSJuGvkCrXliFU1yiSzvAuW",
"index": 0
}
],
"tool_calls": [
{
"name": "query-sql",
"args": {
"input": "SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15"
},
"id": "call_jdSJuGvkCrXliFU1yiSzvAuW"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_jdSJuGvkCrXliFU1yiSzvAuW",
"content": "QueryFailedError: column \"net_income_growth\" does not exist",
"additional_kwargs": {
"name": "query-sql"
},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_pWpqlzX4WQ4Gi7lGqDr0Ptr0",
"type": "function",
"function": {
"name": "query-checker",
"arguments": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "query-checker",
"args": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas &
Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}",
"id": "call_pWpqlzX4WQ4Gi7lGqDr0Ptr0",
"index": 0
}
],
"tool_calls": [
{
"name": "query-checker",
"args": {
"input": "SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND
net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15"
},
"id": "call_pWpqlzX4WQ4Gi7lGqDr0Ptr0"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_pWpqlzX4WQ4Gi7lGqDr0Ptr0",
"content": "The provided SQLite query does not exhibit any of the common mistakes listed. It correctly filters rows from the `idx_company_report_ltd` table where `subsector` is 'Oil, Gas & Coal' and `net_income` is not null, then orders the results by `net_income` in descending order, and limits the output to the top 15 rows. The query syntax is correct for its intended purpose. Therefore, the original query is reproduced below without any changes:\n\n```sql\nSELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\n```",
"additional_kwargs": {
"name": "query-checker"
},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_HYVjejr17xVOepwDYdazfzyI",
"type": "function",
"function": {
"name": "query-sql",
"arguments": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "query-sql",
"args": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas &
Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}",
"id": "call_HYVjejr17xVOepwDYdazfzyI",
"index": 0
}
],
"tool_calls": [
{
"name": "query-sql",
"args": {
"input": "SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND
net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15"
},
"id": "call_HYVjejr17xVOepwDYdazfzyI"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_HYVjejr17xVOepwDYdazfzyI",
"content": "QueryFailedError: column \"subsector\" does not exist",
"additional_kwargs": {
"name": "query-sql"
},
"response_metadata": {}
}
}
]
]
}
[llm/start] [1:llm:ChatOpenAI] Entering LLM run with input: {
"messages": [
[
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"SystemMessage"
],
"kwargs": {
"content": "You are an agent designed to interact with a SQL database.\n Given an input question, create a syntactically correct sqlite query to run, then look at the results of the query and return the answer.\n Unless the user specifies a specific number of examples they wish to obtain, always limit your query to at most 10 results.\n You can order the results by a relevant column to
return the most interesting examples in the database. \n Never query for all the columns from a specific table, only ask for the relevant columns given the question.\n You have access to tools for interacting with the database.\n Only use the given tools. Only use
the information returned by the tools to construct your final answer.\n You MUST use \"sql_db_query_checker\" function before using \"sql_db_query\" function. If you get an error while executing a query, rewrite the query and try again.\n If you need to filter on a
subsector, you must ALWAYS first look up the filter value using the \"search_proper_subsector\" function! \n If the question asks for a list of companies, please provide both the symbols and company names.\n ALWAYS filter out null values for the column used for ordering (\"WHERE column IS NOT NULL\").\n\n DO NOT make any DML statements (INSERT, UPDATE, DELETE, DROP etc.) to the database.\n\n If
the question does not seem related to the database, just return \"I don't know\" and the explanation as the answer.\n\n In your final answer, please explain the column names, filters, aggregate, order and limit used in the final query to arrive at the answer in plain English. Don't mention the word \"SQL\" or \"query\", and don't explain the null values filtering.\n\n Only use the following table:\n Name: idx_company_report_ltd\n Notes: Net Profit and Loss (PnL), earnings and net income are used interchangebly.\n\n ",
"additional_kwargs": {},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"HumanMessage"
],
"kwargs": {
"content": "top 15 energy companies with the fastest growth in net income",
"additional_kwargs": {},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_Iv0imkhFzIQWlYm917hxi6Wu",
"type": "function",
"function": {
"name": "search_proper_subsector",
"arguments": "{\"query\":\"energy\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "search_proper_subsector",
"args": "{\"query\":\"energy\"}",
"id": "call_Iv0imkhFzIQWlYm917hxi6Wu",
"index": 0
}
],
"tool_calls": [
{
"name": "search_proper_subsector",
"args": {
"query": "energy"
},
"id": "call_Iv0imkhFzIQWlYm917hxi6Wu"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_Iv0imkhFzIQWlYm917hxi6Wu",
"content": "Alternative Energy\n\nUtilities\n\nTransportation\n\nMedia & Entertainment\n\nOil, Gas & Coal",
"additional_kwargs": {
"name": "search_proper_subsector"
},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_9K1uAsP6HbkICZEMxFsJsenm",
"type": "function",
"function": {
"name": "query-checker",
"arguments": "{\"input\":\"SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "query-checker",
"args": "{\"input\":\"SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\"}",
"id": "call_9K1uAsP6HbkICZEMxFsJsenm",
"index": 0
}
],
"tool_calls": [
{
"name": "query-checker",
"args": {
"input": "SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15"
},
"id": "call_9K1uAsP6HbkICZEMxFsJsenm"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_9K1uAsP6HbkICZEMxFsJsenm",
"content": "The provided SQLite query does not exhibit any of the common mistakes listed. It correctly filters rows from the `idx_company_report_ltd` table where the `subsector` is 'Oil, Gas & Coal' and `net_income_growth` is not null, then orders the results by `net_income_growth` in descending order, and limits the output to the top 15 rows. The query properly uses `IS NOT NULL` for filtering non-null values, correctly quotes identifiers (none of the identifiers require quoting as they do not contain special characters or reserved keywords), and there's no indication of data type mismatch, improper use of functions, incorrect casting, or errors in column references for joins. Therefore, the original query is reproduced below without changes:\n\n```sql\nSELECT symbol, company_name,
net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\n```",
"additional_kwargs": {
"name": "query-checker"
},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_jdSJuGvkCrXliFU1yiSzvAuW",
"type": "function",
"function": {
"name": "query-sql",
"arguments": "{\"input\":\"SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "query-sql",
"args": "{\"input\":\"SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15\"}",
"id": "call_jdSJuGvkCrXliFU1yiSzvAuW",
"index": 0
}
],
"tool_calls": [
{
"name": "query-sql",
"args": {
"input": "SELECT symbol, company_name, net_income_growth FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income_growth IS NOT NULL ORDER BY net_income_growth DESC LIMIT 15"
},
"id": "call_jdSJuGvkCrXliFU1yiSzvAuW"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_jdSJuGvkCrXliFU1yiSzvAuW",
"content": "QueryFailedError: column \"net_income_growth\" does not exist",
"additional_kwargs": {
"name": "query-sql"
},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_pWpqlzX4WQ4Gi7lGqDr0Ptr0",
"type": "function",
"function": {
"name": "query-checker",
"arguments": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "query-checker",
"args": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas &
Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}",
"id": "call_pWpqlzX4WQ4Gi7lGqDr0Ptr0",
"index": 0
}
],
"tool_calls": [
{
"name": "query-checker",
"args": {
"input": "SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND
net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15"
},
"id": "call_pWpqlzX4WQ4Gi7lGqDr0Ptr0"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_pWpqlzX4WQ4Gi7lGqDr0Ptr0",
"content": "The provided SQLite query does not exhibit any of the common mistakes listed. It correctly filters rows from the `idx_company_report_ltd` table where `subsector` is 'Oil, Gas & Coal' and `net_income` is not null, then orders the results by `net_income` in descending order, and limits the output to the top 15 rows. The query syntax is correct for its intended purpose. Therefore, the original query is reproduced below without any changes:\n\n```sql\nSELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\n```",
"additional_kwargs": {
"name": "query-checker"
},
"response_metadata": {}
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "",
"additional_kwargs": {
"tool_calls": [
{
"index": 0,
"id": "call_HYVjejr17xVOepwDYdazfzyI",
"type": "function",
"function": {
"name": "query-sql",
"arguments": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}"
}
}
]
},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "tool_calls"
},
"tool_call_chunks": [
{
"name": "query-sql",
"args": "{\"input\":\"SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas &
Coal' AND net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15\"}",
"id": "call_HYVjejr17xVOepwDYdazfzyI",
"index": 0
}
],
"tool_calls": [
{
"name": "query-sql",
"args": {
"input": "SELECT symbol, company_name, net_income FROM idx_company_report_ltd WHERE subsector = 'Oil, Gas & Coal' AND
net_income IS NOT NULL ORDER BY net_income DESC LIMIT 15"
},
"id": "call_HYVjejr17xVOepwDYdazfzyI"
}
],
"invalid_tool_calls": []
}
},
{
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"ToolMessage"
],
"kwargs": {
"tool_call_id": "call_HYVjejr17xVOepwDYdazfzyI",
"content": "QueryFailedError: column \"subsector\" does not exist",
"additional_kwargs": {
"name": "query-sql"
},
"response_metadata": {}
}
}
]
]
}
[llm/end] [1:chain:AgentExecutor > 43:chain:OpenAIToolsAgent > 48:llm:ChatOpenAI] [3.13s] Exiting LLM run with output: {
"generations": [
[
{
"text": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly.",
"generationInfo": {
"prompt": 0,
"completion": 0,
"finish_reason": "stop"
},
"message": {
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly.",
"additional_kwargs": {},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "stop"
},
"tool_call_chunks": [],
"tool_calls": [],
"invalid_tool_calls": []
}
}
}
]
]
}
[llm/end] [1:llm:ChatOpenAI] [3.13s] Exiting LLM run with output: {
"generations": [
[
{
"text": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly.",
"generationInfo": {
"prompt": 0,
"completion": 0,
"finish_reason": "stop"
},
"message": {
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly.",
"additional_kwargs": {},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "stop"
},
"tool_call_chunks": [],
"tool_calls": [],
"invalid_tool_calls": []
}
}
}
]
]
}
[chain/start] [1:chain:AgentExecutor > 43:chain:OpenAIToolsAgent > 49:parser:OpenAIToolsAgentOutputParser] Entering Chain run with input: {
"lc": 1,
"type": "constructor",
"id": [
"langchain_core",
"messages",
"AIMessageChunk"
],
"kwargs": {
"content": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly.",
"additional_kwargs": {},
"response_metadata": {
"prompt": 0,
"completion": 0,
"finish_reason": "stop"
},
"tool_call_chunks": [],
"tool_calls": [],
"invalid_tool_calls": []
}
}
[chain/end] [1:chain:AgentExecutor > 43:chain:OpenAIToolsAgent > 49:parser:OpenAIToolsAgentOutputParser] [1ms] Exiting Chain run with
output: {
"returnValues": {
"output": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the
required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly."
},
"log": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly."
}
[chain/end] [1:chain:AgentExecutor > 43:chain:OpenAIToolsAgent] [3.24s] Exiting Chain run with output: {
"returnValues": {
"output": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the
required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly."
},
"log": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly."
}
[chain/end] [1:chain:AgentExecutor] [37.00s] Exiting Chain run with output: {
"input": "top 15 energy companies with the fastest growth in net income",
"output": "I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly."
}
question: top 15 energy companies with the fastest growth in net income
answer: {
input: 'top 15 energy companies with the fastest growth in net income',
output: 'I cannot provide the top 15 energy companies with the fastest growth in net income due to limitations in accessing the required data. The database structure does not include the columns necessary to filter companies by subsector or to calculate net income growth directly.'
}Editor is loading...
Leave a Comment