History
Total running cost: $0.1208
| Prompt | Rows | Type | Model | Target | Status | Runtime | Run | By | Tokens | Cost | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Run | Write a SQL statement that is equivalent to the natural language user query below given the schema in the format of a CREATE TABLE SQL statement. Assume the table is called "df". DO NOT give any preamble or extra characters or markdown just the SQL query in plain text. Make sure the SQL query is on one line.
Schema:
{schema}
User Query:
{query}
SQL Query:
| 200 | text → text |  OpenAI/GPT 4o | bd69dde25c135078fa0f5d21a054b242 | completed | 00:05:57 | 4 weeks ago | ox | 31705 tokens | $ 0.1142 |
| Sample | Write a SQL statement that is equivalent to the natural language user query below given the schema in the format of a CREATE TABLE SQL statement. Assume the table is called "df". DO NOT give any preamble or extra characters or markdown just the SQL query in plain text. Make sure the SQL query is on one line.
Schema:
{schema}
User Query:
{query}
SQL Query:
| 5 | text → text | OpenAI/GPT 4o | Sample - N/A | completed | 00:00:06 | 4 weeks ago | ox | 854 tokens | $ 0.0032 |
| Sample | Write a SQL statement that is equivalent to the natural language user query below given the schema in the format of a CREATE TABLE SQL statement. Assume the table is called "df". Do not give any preamble or extra characters just the SQL query in plain text. Make sure the SQL query is on one line.
Schema:
{schema}
User Query:
{query}
SQL Query:
| 5 | text → text | OpenAI/GPT 4o | Sample - N/A | completed | 00:00:06 | 4 weeks ago | ox | 869 tokens | $ 0.0034 |