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As you can see, you can send a prompt to the AI using the command ai.agent.call. This command can be called with ad-hoc data or by refering to a reusable agent template. For more information about the full power of AI Agents in PIPEFORCE, see AI Agents. |
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pipeline:
- ai.agent.call:
input: $uri:drive:invoice-3662.pdf
prompt: |
Check the invoice to ensure it is correct both in terms
of content and calculations. If everything is fine, return "OK".
If not, provide the reason for the error in one sentence. |
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Convert data with a prompt
You can also convert from one data structure into another using a prompt.
See this example which converts a given XML input to JSON:
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pipeline:
- ai.agent.call:
input: |
<person>
<firstName>Max</firstName>
<lastName>Smith</lastName>
<age>36</age>
</person>
prompt: "Convert to JSON" |
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{
"person": {
"firstName": "Max",
"lastName": "Smith",
"age": 36
}
} |
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Filter data using a prompt
You can also use a prompt as a data filter.
Here is an example which uses a data privacy filter:
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pipeline:
- ai.agent.call:
input: |
{
"person": {
"firstName": "Max",
"lastName": "Smith",
"age": 36
}
}
prompt: |
Remove all personal data because of privacy and
replace by randomized names and add prefix p_ |
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{
"person": {
"firstName": "p_Alex",
"lastName": "p_Johnson",
"age": 48
}
} |
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Using variables in a prompt
You can make prompts more dynamically by using variables.
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