How to connect WatsonX with Watson Assistant

3 minute read

Hello everyone, today we are going to create a chatbot with Generative AI with IBM WatsonX. We are going to discuss how to connect IBM with Watson Assistant.

There are different ways to integrate WatsonX with Watson Assistant. One way is by using an third party integration NeuralSeek by Cerebral Blue LLC that turns Watson Discovery into an intelligent, conversational answer and curation service for Watson Assistant. A second way that I will present in this blog is by simple beta toolkit addon of Watson Assistant to WatsonX

Step 1 - Download the json extension.

First we need to download the following json file

Step 2 - Create your Watson Assistant at IBM Cloud

Then we need to create our Watson Assistant.

After it is created we go to Integrations

then we go to Extensions and click Build custom extension

We click next and then we can name like WatsonX extension then next and we attach our wasonx openapi.json

Alt textthen we have to add the WatsonX extension to Watson Assistant by click in Add Alt text you click Add

During the setup of this extension, you require to get the API of the WatsonX.

Step 3 - Create WatsonX account

To get his, first you need to go to your WatsonX account

Step 4 - Create a prompt Lab

Then you can open the Experiment with the foundation models with Prompt Lab

Let us choose an simple example like Marketing Generation

Step 5 - Create personal API key

then under the view code we click create personal API key

then we create our API key

Step 6- Setup WatsonX extension

then we copy it and we paste in our WatsonX extension

then we save and finish

Step 7- Setup Watson Assistant with WatsonX

We return back to our Watson Assistant and we can create an action

for example Marketing Generation

We create the first step, we can say

Please enter in your prompt

and then we define a custemer response like Free text

then we create an extra step, the step we name

Call watson extension

and then we continue to next step by using an extension

In ordering to setup the extension you requiere to go back to your WatsonX and see the code

in my example will have something like

curl "" \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json' \
  -H 'Authorization: Bearer YOUR_ACCESS_TOKEN' \
  -d $'{
  "model_id": "google/flan-t5-xxl",
  "input": "Generate a 5 sentence marketing message for a company with the given characteristics.\\n\\nDetails\\nCharacteristics:\\n\\nCompany - Golden Bank\\n\\nOffer includes - no fees, 2% interest rate, no minimum balance\\n\\nTone - informative\\n\\nResponse requested - click the link\\n\\nEnd date - July 15\\n\\nEmail\\n",
  "parameters": {
    "decoding_method": "sample",
    "max_new_tokens": 200,
    "min_new_tokens": 50,
    "random_seed": 111,
    "stop_sequences": [],
    "temperature": 0.8,
    "top_k": 50,
    "top_p": 1,
    "repetition_penalty": 2
  "project_id": "4asdasdds-56ed-4eea-b36d"

we will use the previous information to setup our extension in Watson Assistant

  • For the version you will use a text with 2023-05-29

  • For input you will choose Action Step Variables and then you choose the first step 1.Please enter in your promt

  • For model_id google/flan-t5-xxl

  • for project_id you paste your project id for example 4asdasdds-56ed-4eea-b36d you will have something like

then for this example we will requiere additional options

then click apply. Then we create a new step, with conditions, we choose WatsonX extension(step2)

then Ran successfully

in order to express code we set variable values, and we create a New session variable

we name result and will be free text and then apply.

then we click set variable values and then expression

then we type in the value of the variable


and search action step variables

and select 1.Please enter in your propmt. Then you add an space then ` + “ “$ and find WatsonX extension(step2)`

then click on Body.results

and you are going to have something like this

due to you get an array, you add the following [0]["generated_text"] that together in my case in something like this

${result} =${step_244} +" \\nOutput: \\n"+${step_370_result_1.body.results}[0]["generated_text"]

then in the assitant says you add a function result

and finally we click on preview

then type

Marketing Generation

` then

Generate 5 sentence marketing message for a company with the given characteristics. Details Characteristics: Company - Golden Bank Offer includes - no fees, 2% interest rate, no minimum balance Tone - informative Response requested - click the link End date - July 15 Email

additionally you can analyze the output in the Extension inspector, to debug and analyze the results.

Congratulations! We have created a chatbot with LLM capability by using IBM WatsonX and IBM Watson Assistant.


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