Discourse announces an AI Assistant for using their software

Feedback
1

Asked of their new AI Assistant (ask.discourse.com)

“As an expert on the Discourse community forum (https://meta.discourse.org/), please summarize the discussion about implementing an AI assistant for the Discourse software, including any references to training and deploying an AI assistant within the “Free Hosting for Open Source” program, which may also be referred to by unofficial names. Please provide links to the initial topics discussing these implementations.”

Here are the relevant topics discussing the implementation of AI assistants in Discourse and the “Free Hosting for Open Source” program:

  1. Discourse AI - Personas

    • This guide explains how to set up and manage AI personas in Discourse, including configuration options and supported commands.

  2. Discourse AI - AI bot custom tools

    • Discusses the creation and configuration of custom AI tools within the Discourse AI plugin.

  3. Discourse AI - Chat integration

    • Guide on integrating Discourse AI into the Chat feature.

  4. Self-Hosting an OpenSource LLM for DiscourseAI

    • Instructions on self-hosting an LLM required for Discourse AI features like AI Helper, AI Search, and AI Bot.

  5. Self-Hosting Embeddings for DiscourseAI

    • Discusses self-hosting embeddings for features like Related Topics and AI Helper.

  6. Enhance or create a different AI bot to help Discourse developers

    • Suggests enhancing the current AI bot or creating a new one to assist Discourse developers.

  7. Can Discourse AI Plugin Connect with OpenAI Assistants?

    • Technical feasibility discussion on connecting Discourse AI plugin with OpenAI assistants.

  8. ChatGPT Assistant Integration

    • Discussion on integrating ChatGPT Assistant with Discourse.

  9. Free Hosting for Open Source v2

    • Announcement and details about the Free Hosting for Open Source program, which supports open-source projects with free Discourse hosting.

  10. Contributing to Discourse

    • Guide on contributing to the Discourse open-source project, covering advocacy, design, documentation, translation, and code contributions.

Discussions about Free Hosting for Open Source typically center around support and contributions to the Discourse project, its API, and various integration topics.

2

Guidelines for Handling Insufficient AI Information

emyoulation:

Yes, I would like to see an example of you coming to the conclusion that your training will be insufficient to give an actionable answer to the Prompts and how the suggestion would be composed regarding how the prompts could be collated and re-written for posting to the regular Discourse community forum.

gpt-4o:

Sure! Let me illustrate the process with an example where I determine that my training and available resources are insufficient to provide a comprehensive answer. I’ll include the steps of performing a search, determining the insufficiency of information, and then suggesting the query re-write for posting to the Discourse community forum.

Example Scenario

User Query:

I’m having trouble integrating a third-party analytics service with my Discourse site. How can I set this up?

Step 1: Perform a Search

I’ll perform a search on meta.discourse.org to find relevant information about integrating third-party analytics services with Discourse.

Search Query:

“How to integrate third-party analytics service with Discourse plugins APIs webhooks setup guide”

I’ll proceed with the search now.

Searching

Searching for: How to integrate third-party analytics service with Discourse plugins APIs webhooks setup guide

Based on my search results, it appears that while there are several relevant pages and resources on integrating third-party services, the information might not be sufficiently specific to your needs without further context. This kind of nuanced query may benefit from the insights and experiences of the Discourse community.

Conclusion

Given the complexity and potential specificity required for your query on integrating third-party analytics services with Discourse using plugins, APIs, or webhooks, I recommend posting this question on the Discourse Meta community forum. The community can provide more tailored advice based on your exact requirements.

Suggested Forum Post

Here is a structured way to rewrite your query for the Discourse community forum:

Title:

How to Integrate Third-Party Analytics Services with Discourse Using Plugins, APIs, and Webhooks

Body:

Hi Discourse Community,

I’m looking to integrate a third-party analytics service with my Discourse forum. Specifically, I want to leverage Discourse plugins, APIs, and webhooks for this integration.

I’ve gone through some documentation, but I need more comprehensive guidance or examples. Here are my main concerns:

  1. How to set up the basic framework for a plugin that interacts with third-party services.
  2. Detailed steps to configure APIs and webhooks for seamless integration.
  3. Best practices for handling data and ensuring security.

Any tutorials, example codes, or detailed guides would be greatly appreciated!

Thank you in advance for your help!

Feel free to customize the content to better match your context or provide additional details. Good luck, and I hope the community can provide the detailed assistance you need!

3

emyoulation:

What would be involved in implementing a similar AI Assistant to this “Discourse Helper V3” for another forum. Specifically, the Gramps (https://gramps.discourse.group/) hosted in the “Free Hosting for Open Source” program by the Discourse group.

gpt-4o:

To implement an AI Assistant similar to “Discourse Helper V3” for the Gramps forum, hosted under the “Free Hosting for Open Source” program by Discourse, you would need to take several steps:

  1. Define the Objectives and Scope:

    • Clarify what tasks and questions the AI Assistant will handle.
    • Identify the types of users and their common queries.

  2. Select an AI Platform:

    • Choose an AI platform or service (e.g., OpenAI’s GPT-3, Microsoft Azure Bot Framework) that supports building conversational assistants.

  3. Integration with Discourse:

    • Use Discourse APIs to integrate the AI Assistant. The Discourse API allows for fetching data, posting replies, and performing various administrative tasks.

  4. Development:

    • Conversation Design: Map out common question-and-answer flows.
    • Implementation: Write the backend logic that will interface between the AI platform and the Discourse API.
    • Testing: Continuously test with edge cases and perform iterative improvements.

  5. Security and Privacy:

    • Make sure to handle user data responsibly and ensure the AI Assistant complies with privacy laws and guidelines.
    • Implement rate limiting and other security measures to prevent abuse.

  6. Deployment and Monitoring:

    • Deploy the assistant to a reliable hosting platform.
    • Continuously monitor performance and user interactions to make improvements.

Detailed Steps

  1. Defining Objectives and Scope:

    • Identify the most common user queries (e.g., account issues, navigation help, posting guidelines).
    • Decide whether the assistant will handle administration tasks, user engagement, or both.

  2. Selecting an AI Platform:

    • If using a model like GPT-3, you can use its APIs to generate responses based on user input.
    • Consider using a natural language processing (NLP) framework to build custom conversational flows.

  3. API Integration:

    • Discourse API: Use the Discourse API for actions like fetching posts, replying to topics, and managing user accounts.
    • Bot Framework: Use middleware to handle API calls and process user inputs and outputs.

  4. Development:

    • Conversation Design: Create a flowchart with common user interactions and the assistant’s responses.
    • Backend Development: Connect the AI platform to Discourse using middleware (could be built in Node.js, Python, etc.).
    • Testing: Use both automated tests and human testers to ensure that the AI behaves as expected.

  5. Security and Privacy:

    • Use OAuth2 for authentication when accessing the Discourse API.
    • Make sure to comply with GDPR and other relevant privacy laws.
    • Implement logging and monitoring to detect and prevent misuse.

  6. Deployment and Monitoring:

    • Deploy the AI Assistant on a cloud platform like AWS, Azure, or Google Cloud.
    • Set up logging and monitoring to track performance and usage metrics.
    • Regularly update the training data and refine the assistant based on user feedback.

Example Workflow

  1. User asks a question on the Gramps forum.
  2. AI Assistant processes the question using an NLP model.
  3. Assistant queries the Discourse API to fetch relevant data if needed.
  4. Assistant formulates a response based on pre-defined conversation flows and API data.
  5. Assistant posts a response in the forum thread using the Discourse API.

Resources:

Implementing an AI Assistant can be a complex task, but with the right planning and resources, it can greatly enhance user experience on your Discourse forum.

4

This topic was automatically closed 30 days after the last reply. New replies are no longer allowed.