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HenryJammes
Copilot Studio
Copilot Studio

Integrate a PVA chatbot with Azure OpenAI ChatGPT using the Chat Completion API format

OpenAI ChatGPT and GPT-4 models are both optimized for conversational interfaces. This means they accept input formatted as a conversation. The main benefit is retaining the conversation context (i.e. the history of past questions and answers), so that any new follow up question is made in the context of past interactions.

 

Example in ChatGPT, where the question "Who was it before?" only makes sense in the context of the previous questions and answers: 

HenryJammes_1-1683653156588.png

 

To replicate this behavior in Power Virtual Agents, you integrate with the Azure OpenAI Service APIs using a Power Automate cloud flow.

For each of the requests you make to Azure OpenAI, you need to retain the context of previous questions and answers. 

The Chat Completion API is a new dedicated API for interacting with the ChatGPT and GPT-4 models in conversational manner. 

Chat Completion is optimized and will lead to better results than the previous Chat Markup Language (ChatML) format.

 

The format allows you to set the system prompt (with instructions, rules, data, etc.) as well as a format for the following question and answers, between the bot and the user. It's formatted in JSON.

Below is an example of the above example conversation:

 

[
    {
        "role": "system",
        "content": "You are an AI assistant that helps people find information."
    },
    {
        "role": "user",
        "content": "Who was Microsoft CEO in 2020?"
    },
    {
        "role": "assistant",
        "content": "In 2020, the CEO of Microsoft was Satya Nadella. He has been the CEO of Microsoft since 2014."
    },
    {
        "role": "user",
        "content": "Who was it before?"
    },
    {
        "role": "assistant",
        "content": "Before Satya Nadella, Steve Ballmer was the CEO of Microsoft. He served as the CEO from 2000 to 2014, following Bill Gates who co-founded Microsoft and served as CEO for many years."
    }
]

 

You can learn more about Chat Completion API here:

How to work with the ChatGPT and GPT-4 models (preview) - Azure OpenAI Service | Microsoft Learn

 

You cannot keep an infinitely large history of past interactions. Each model has a token limit. 

You can learn more on how to remain the thoken limit here.

 

In the below example, I show how to integrate Power Virtual Agents with Azure OpenAI with Power Automate, and use the Chat Completion API to retain conversation context.

  • In the first post, I show how to do this using the Power Virtual Agents new unified authoring canvas.
  • In the second post, I show how to do this using the classic version of Power Virtual Agents (using Bot Framework Composer).

 

Important note:

 

Prerequisites for the below articles:

55 REPLIES 55

Hi Henry,Thank you very much for your suggestion. It has solved my current problem. and  very much look forward to reading more of your articles.

Thank you for this! The variable management in unified authoring canvas is much nicer to use than making the solution work with Bot Framework Composer.

 

I saw that Bot Framework has an HTTP request action. Is there any way to leverage this action with the unified authoring canvas solution? My team is concerned about being bottlenecked by queuing thousands of flow runs per hour if we deploy this organization-wide.


@benfrussell wrote:

Thank you for this! The variable management in unified authoring canvas is much nicer to use than making the solution work with Bot Framework Composer.

 

I saw that Bot Framework has an HTTP request action. Is there any way to leverage this action with the unified authoring canvas solution? My team is concerned about being bottlenecked by queuing thousands of flow runs per hour if we deploy this organization-wide.


Hi @benfrussell. I believe HTTP requests are a known gap with Bot Framework Composer that we're looking to address in upcoming updates. I don't have an ETA to share though.

Thanks for the quick feedback. So if I understand right, the only way to get an HTTP request out in the unified authoring canvas at the moment is to call a flow from PVA?


@benfrussell wrote:

Thanks for the quick feedback. So if I understand right, the only way to get an HTTP request out in the unified authoring canvas at the moment is to call a flow from PVA?


Absolutely @benfrussell 


@benfrussell wrote:

Thanks for the quick feedback. So if I understand right, the only way to get an HTTP request out in the unified authoring canvas at the moment is to call a flow from PVA?


Actually @benfrussell, a customer just pointed that to me that Copilot helped them in PVA to create an HTTP Request node!

 

HenryJammes_0-1685057416297.png

 

  actions:
    - kind: HttpRequestAction
      id: HttpRequestAction_HVT9kz
      method: GET
      url: https://www.bing.com
      variable: Topic.BingResponse

It doesn't seem to work - yet - but this is super exciting!

Hi @HenryJammes Here is my method in Classic PVA env. But I Cloud not find"Clear all variables"  , May be it's work in Preview version.

 Screenshot 2023-05-29 at 1.28.10 PM.png


@angerfire1213 wrote:

Hi @HenryJammes Here is my method in Classic PVA env. But I Cloud not find"Clear all variables"  , May be it's work in Preview version.

 Screenshot 2023-05-29 at 1.28.10 PM.png


That's correct @angerfire1213 - that option is only available in the unified authoring canvas.

In the classic version, you'd need to use a Bot Framework Composer dialog to reset the value of the variable to blank.

 

Henry

Great @HenryJammes  any sample for " use a Bot Framework Composer dialog to reset the value of the variable to blank."?


@angerfire1213 wrote:

Great @HenryJammes  any sample for " use a Bot Framework Composer dialog to reset the value of the variable to blank."?


I would probably use a Set a property node with this formula: ="" 

Like this:

 

HenryJammes_0-1685608367758.png

 

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