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PIPEFORCE can also combine and pipeline multiple AI backends and models in order to use exactly the combination and security level you need to deliver your business solution.

Enable the default AI backend

In case you would like to enable all the AI features and access the trained models in order to integrate them into your business solutions, you have to make sure you have enabled the PIPEFORCE AI backend by adding the secret ai-default-secret in the secrets section. Once this secret was created, you can access the AI backend and all provided LLM models without any further setup required.

Change the AI backend

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If you do not specify otherwise, the default PIPEFORCE AI backend as configured in the secret ai-default-secret is used in any AI conversation.

But you can switch this default backend or use multiple add additional AI backends and use them in parallel. To do so, you have to add a secret for any each AI backend you would like to additionally use.

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• base_url: The base url of the API (requried).

• model: The AI model to be used (required).

• api_token: The secure API token to be used.

• max_token: The max prompt tokens allowed to be sent (defaults to 800 if missing)

• custom_headers: Optional key-value pairs to be passed along as HTTP headers on any request. This is handy for example in case basic authentication or any other additional header setting is required.

Connect to OpenAI (ChatGPT)

In case you would like to integrate OpenAI as additional AI backend for example, you could use these settings in your secret:

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Replace your_token by the API token you can generate on the OpenAI website.

Use the AI backend secret in your AI commands

In any of the AI commands, if no secret is specified, the default AI backend is used. You can refer to a different AI backend, by using its secret in the AI command.

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This works the same way with any other AI command.

Chaining AI backends in a pipeline

You can combine multiple AI backends in a single pipeline. Lets assume this example: There is one AI backend which is optimized to extract fields from an invoice and a second one to remove all privacy data, then you can combine them easily using a pipeline like this:

pipeline:
  - ai.prompt.send:
      secret: ai-invoice-backend
      input: $uri:drive:invoice.pdf
      prompt: Extract all fields from the invoice.
      
  - ai.prompt.send:
      secret: ai-privacy-backend
      prompt: Make sure there is no privacy related data.

This way you can combine the power of multiple AI backend to leverage your result.