# Answer: 39.17 minutes
```

````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 write a query to find the average processing duration at stn5 in the wip zone.

[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 write a query to find the average processing duration at stn5 in the wip zone.

[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 use the product_tracking table to find the average processing duration at stn5 in the wip zone.

[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 use the product_tracking table to find the average processing duration at stn5 in the wip zone.

[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 AVG(CAST(duration AS INTEGER)) AS avg_processing_duration\nFROM product_tracking\nWHERE station_name = 'stn5' AND zone = 'wip';"}`
responded: I will use the product_tracking table to find the average processing duration at stn5 in the wip zone. The relevant columns are station_name, zone and duration.

[0m[36;1m[1;3m```sql
SELECT AVG(CAST(duration AS INTEGER)) AS avg_processing_duration
FROM product_tracking
WHERE station_name = 'stn5' AND zone = 'wip';
```[0m[32;1m[1;3m
Invoking: `sql_db_query_checker` with `{'query': "SELECT AVG(CAST(duration AS INTEGER)) AS avg_processing_duration\nFROM product_tracking\nWHERE station_name = 'stn5' AND zone = 'wip';"}`
responded: I will use the product_tracking table to find the average processing duration at stn5 in the wip zone. The relevant columns are station_name, zone and duration.

[0m[36;1m[1;3m```sql
SELECT AVG(CAST(duration AS INTEGER)) AS avg_processing_duration
FROM product_tracking
WHERE station_name = 'stn5' AND zone = 'wip';
```[0m[32;1m[1;3m
Invoking: `sql_db_query` with `{'query': "SELECT AVG(CAST(duration AS INTEGER)) AS avg_processing_duration\nFROM product_tracking\nWHERE station_name = 'stn5' AND zone = 'wip';"}`
responded: I will now execute the query to find the average processing duration at stn5 in the wip zone.

[0m[36;1m[1;3m[(39.166666666666664,)][0m[32;1m[1;3m
Invoking: `sql_db_query` with `{'query': "SELECT AVG(CAST(duration AS INTEGER)) AS avg_processing_duration\nFROM product_tracking\nWHERE station_name = 'stn5' AND zone = 'wip';"}`
responded: I will now execute the query to find the average processing duration at stn5 in the wip zone.

[0m[36;1m[1;3m[(39.166666666666664,)][0m[32;1m[1;3mThe average processing duration at stn5 in the wip zone is 39.17 minutes.[0m

[1m> Finished chain.[0m
The average processing duration at stn5 in the wip zone is 39.17 minutes.
````

```python PYTHON
output=agent.invoke({
   "input": "Which station had the highest total duration in the wait zone?",
    "date": datetime.now()
})
print(output['output'])