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1、After switching the language display, when the prompt icon on the right of the homepage dialog box is clicked to open, this part is still in English and the prompt words inside do not switch languages accordingly.
2、After clicking the “Run SQL” button and executing the SQL statement to get the result list page, the maximum number of rows per page is only 30. A drop - down menu should be added to display all records with 100 and all. Also, the result list should have a download button to download the result data in CSV format.
3、On initialization, the database connection configuration should be saved in the Docker configuration file or environment variables. Thus, local users don't need to configure the database connection every time after deployment via Docker.
4、Consider supporting Ollama local deployment subsequently. Although it's currently achievable to use other models(e.g deepseek-r1:14b) locally by renaming them to gpt4 via modelfile, it's still quite a tedious process.
Describe the solution you'd like
1、Support custom prompt content.
2、Add a Csv download button to the result list page.
3、Add database configuration to the docker - env deployment file to achieve permanent storage.
4、Directly support Ollama local models as open webui does.
Additional context
No response
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Is your feature request related to a problem?
1、After switching the language display, when the prompt icon on the right of the homepage dialog box is clicked to open, this part is still in English and the prompt words inside do not switch languages accordingly.
2、After clicking the “Run SQL” button and executing the SQL statement to get the result list page, the maximum number of rows per page is only 30. A drop - down menu should be added to display all records with 100 and all. Also, the result list should have a download button to download the result data in CSV format.
3、On initialization, the database connection configuration should be saved in the Docker configuration file or environment variables. Thus, local users don't need to configure the database connection every time after deployment via Docker.
4、Consider supporting Ollama local deployment subsequently. Although it's currently achievable to use other models(e.g deepseek-r1:14b) locally by renaming them to gpt4 via modelfile, it's still quite a tedious process.
Describe the solution you'd like
1、Support custom prompt content.
2、Add a Csv download button to the result list page.
3、Add database configuration to the docker - env deployment file to achieve permanent storage.
4、Directly support Ollama local models as open webui does.
Additional context
No response
The text was updated successfully, but these errors were encountered: