> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mindgard.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Testing Chatbot Applications
#### Chatbot API Testing
It’s recommended to test a chatbot through its application API. This will usually be more reliable and faster than testing via the UI.
It may be useful to use the browser devtools to locate API to test. You can use the browser devtools to create a CURL command to duplicate the API request, which is then straightforward to translate into a Mindgard CLI command.
This will copy to your clipboard a command like the following (edited for brevity)
| `curl 'https://example.com/chat/conversation/foobarbaz' \ -H 'accept: */*' \ -H 'accept-language: en-GB,en-US;q=0.9,en;q=0.8' \ -H 'content-type: application/json' \ -H 'cookie: token=foo; token=bar;' \ -H 'origin: https://example.com' \ -H 'user-agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36' \ --data-raw $''` |
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To translate to a Mindgard command replace -H with --header, replace --data-raw with --request-template and replace curl with mindgard test your-target-name --url
You will also need to replace your user inputs with a placeholder of
The equivalent Mindgard CLI for the above curl command would therefore be
| `mindgard test your-target-name \ --url 'https://example.com/chat/conversation/foobarbaz' \ --header 'accept: */*' \ --header 'accept-language: en-GB,en-US;q=0.9,en;q=0.8' \ --header 'content-type: application/json' \ --header 'cookie: token=foo; token=bar;' \ --header 'origin: https://example.com' \ --header 'user-agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36' \ --data-raw $''` |
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#### Browser Web UI testing
It is also possible to use the Mindgard CLI to test an AI application through a web UI using browser automation. This approach is generally slower and less reliable than the API testing approach above.
This is provided via a wrapper that exposes a suitable API for testing via browser automation.
An example chatbot wrapper compatible with several chatbot UIs is provided on [Mindgard's github](https://github.com/Mindgard/chatbot-api-wrapper).