"dialect": self.database.dialect,
            "table_info": table_info,
            "stop": ["\nSQLResult:"],
        }
        intermediate_steps: List = []
        try:
            intermediate_steps.append(llm_inputs)  # input: sql generation
            sql_cmd = self.llm_chain.predict(
                callbacks=_run_manager.get_child(),
                **llm_inputs,
            ).strip()
            if self.return_sql:
                return {self.output_key: sql_cmd}
            if not self.use_query_checker:
                _run_manager.on_text(sql_cmd, color="green", verbose=self.verbose)
                intermediate_steps.append(
                    sql_cmd
                )  # output: sql generation (no checker)
                intermediate_steps.append({"sql_cmd": sql_cmd})  # input: sql exec
                result = self.database.run(sql_cmd)
                intermediate_steps.append(str(result))  # output: sql exec
            else:
                query_checker_prompt = self.query_checker_prompt or PromptTemplate(
                    template=QUERY_CHECKER, input_variables=["query", "dialect"]
                )
                query_checker_chain = LLMChain(
                    llm=self.llm_chain.llm, prompt=query_checker_prompt
                )
                query_checker_inputs = {
                    "query": sql_cmd,
                    "dialect": self.database.dialect,
                }
                checked_sql_command: str = query_checker_chain.predict(
                    callbacks=_run_manager.get_child(), **query_checker_inputs
                ).strip()
                intermediate_steps.append(
                    checked_sql_command
                )  # output: sql generation (checker)
                _run_manager.on_text(
                    checked_sql_command, color="green", verbose=self.verbose
                )
                intermediate_steps.append(
                    {"sql_cmd": checked_sql_command}