# Answer: stn2, with duration of 35 mins.
```

````mdx
[1m> Entering new Cohere SQL Agent Executor chain...[0m
[32;1m[1;3m
Invoking: `sql_db_list_tablessql_db_list_tables` with `{}`
responded: I will first check the schema of the available tables. Then, I will query the product_tracking table to find the station with the longest duration on 27th May 2024.

[0msql_db_list_tablessql_db_list_tables is not a valid tool, try one of [sql_db_query, sql_db_schema, sql_db_list_tables, sql_db_query_checker].[32;1m[1;3m
Invoking: `sql_db_list_tables` with `{}`
responded: I will first check the schema of the available tables. Then, I will query the product_tracking table to find the station with the longest duration on 27th May 2024.

[0m[38;5;200m[1;3mproduct_tracking, status[0m[32;1m[1;3m
Invoking: `sql_db_schema` with `{'table_names': 'product_tracking'}`
responded: I will query the product_tracking table to find the station with the longest duration on 27th May 2024.

[0m[33;1m[1;3m
CREATE TABLE product_tracking (
    timestamp_start TEXT, 
    timestamp_end TEXT, 
    timezone TEXT, 
    date TEXT, 
    hour TEXT, 
    station_name TEXT, 
    zone TEXT, 
    product_id TEXT, 
    duration TEXT
)

/*
3 rows from product_tracking table:
timestamp_start	timestamp_end	timezone	date	hour	station_name	zone	product_id	duration
2024-05-27 17:22:00	2024-05-27 17:57:00	Canada/Toronto	2024-05-27	17	stn2	wip	187	35
2024-04-26 15:56:00	2024-04-26 17:56:00	Canada/Toronto	2024-04-26	15	stn4	wip	299	120
2024-04-12 04:36:00	2024-04-12 05:12:00	Canada/Toronto	2024-04-12	4	stn3	wip	60	36
*/[0m[32;1m[1;3m
Invoking: `sql_db_schema` with `{'table_names': 'product_tracking'}`
responded: I will query the product_tracking table to find the station with the longest duration on 27th May 2024.

[0m[33;1m[1;3m
CREATE TABLE product_tracking (
    timestamp_start TEXT, 
    timestamp_end TEXT, 
    timezone TEXT, 
    date TEXT, 
    hour TEXT, 
    station_name TEXT, 
    zone TEXT, 
    product_id TEXT, 
    duration TEXT
)

/*
3 rows from product_tracking table:
timestamp_start	timestamp_end	timezone	date	hour	station_name	zone	product_id	duration
2024-05-27 17:22:00	2024-05-27 17:57:00	Canada/Toronto	2024-05-27	17	stn2	wip	187	35
2024-04-26 15:56:00	2024-04-26 17:56:00	Canada/Toronto	2024-04-26	15	stn4	wip	299	120
2024-04-12 04:36:00	2024-04-12 05:12:00	Canada/Toronto	2024-04-12	4	stn3	wip	60	36
*/[0m[32;1m[1;3m
Invoking: `sql_db_query_checker` with `{'query': "SELECT station_name, duration\r\nFROM product_tracking\r\nWHERE date = '2024-05-27'\r\nORDER BY duration DESC\r\nLIMIT 1;"}`
responded: I will query the product_tracking table to find the station with the longest duration on 27th May 2024. I will filter the data for the date '2024-05-27' and order the results by duration in descending order to find the station with the longest duration.

[0m[36;1m[1;3m```sql
SELECT station_name, duration
FROM product_tracking
WHERE date = '2024-05-27'
ORDER BY duration DESC
LIMIT 1;
```[0m[32;1m[1;3m
Invoking: `sql_db_query` with `{'query': "SELECT station_name, duration\nFROM product_tracking\nWHERE date = '2024-05-27'\nORDER BY duration DESC\nLIMIT 1;"}`
responded: I will now execute the SQL query to find the station with the longest duration on 27th May 2024.

[0m[36;1m[1;3m[('stn2', '35')][0m[32;1m[1;3mThe station with the longest duration on 27th May 2024 was stn2 with a duration of 35 minutes.[0m

[1m> Finished chain.[0m
The station with the longest duration on 27th May 2024 was stn2 with a duration of 35 minutes.
````

```python PYTHON
output = agent_with_chat_history.invoke(
    {
        "input": "Can you tell me when this station had downtime on 2024-04-03?",
        "date": datetime.now(),
    },
    config={"configurable": {"session_id": "foo"}},
)
print(output["output"])