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

Change the AI backend secret

Depending on your license, by default PIPEFORCE comes with it’s own built-in AI backend hosted in Germany which uses the default secret ai-default-secret.

If you do not specify otherwise, this AI backend secret is used by default in any AI conversation.

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

This secret must be of type secret-text and must contain a JSON value which has a structure like this:

{
  "base_url": "string",
  "model": "string",
  "api_token": "string",
  "max_token": "integer",
  "custom_headers": { "name": "value" }
} 

Whereas:

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

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

• api_token: The security token to be used.

• max_token: The max token to be send (defaults to 800)

• custom_headers: 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 of type secret-text:

{
  "base_url": "https://api.openai.com/v1",
  "model": "gpt-3.5-turbo",
  "api_token": "your_token",
  "max_token": 800
} 

Use the secret in your AI commands

In any of the AI commands you can refer to the configured AI backend by using its secret name.

Lets assume the OpenAI secret from above was added under a secret with name openai-secret, then to prompt it from inside your pipeline you can do something like this:

pipeline:
  - ai.prompt.send:
      secret: openai-secret
      prompt: "Tell me a joke"

This works the same way with any other AI command.