# Using FluentCLI
***
### A most basic FluentCLI command example is:
This command calls the OpusChain (we don't know if it's Langflow or Flowise from here) and sends the request 'This is a test' to the chatflow.
A few moments later, the response is returned to the terminal as text.
```
fluent OpusChain 'This is a test'
```
***
### In this example, we echo the text, 'This is a test' to fluent's `stdin` input. This is combined with the input question and sent to the OpusChain. The two will be combined if I include a string in the request.
```
echo "This is a test" | fluent OpusChain ''
```
***
### In this request, we combine 'What is this?' with 'This is a test' and send it to the LLM.
```
echo 'this is a test' | fluent OpusChain 'What is this? '
```
> ### Any text can be piped into fluent through `stdin`. However, token size limits do apply. If you exceed the size limit, you will receive a response like this:
{% code overflow="wrap" %}
```json
{"statusCode":500,"success":false,"message":"Error: predictionsServices.buildChatflow - 400 {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"prompt is too long: 202122 tokens > 199999 maximum\"}}","stack":{}}
```
{% endcode %}
***
### Adding file contents to the request payload
{% code overflow="wrap" %}
```bash
fluent OpusChain 'analyze these data points. ' --additional-context-file /Users/n/Downloads/Financial Sample.csv
```
{% endcode %}
