AI & RAG

Discord slash command for on-demand version diff answers

A Discord slash command lets developers ask what changed between two API versions.

CategoryAI & RAG
Enginesim
Difficultybeginner
Triggerchat
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDeveloper runs the version-diff slash command in DiscordDiscordDiscord
  • LogicValidate and order the version range from arguments
  • ActionFetch changelog and tag diffs across the range from GitHubGitHubGitHub
  • ActionRetrieve passages relevant to the questionOpenAI
  • ActionCompose version-diff answer grounded in retrieved textOpenAI
  • OutputReply with the cited answer in DiscordDiscordDiscord

What it does

This workflow powers a Discord slash command where a developer specifies two API versions and a question. It retrieves every changelog entry between those versions, then returns a focused answer listing the breaking changes, additions, and deprecations relevant to the question, each citing the exact version and diff.

When to use it

Use it for a developer community or internal Discord where people frequently ask "what's different between vX and vY?" It gives self-serve, sourced answers without a maintainer manually replying.

How it works

  1. 1A developer runs the slash command in Discord with two versions and a question.
  2. 2A logic step validates and orders the version range from the command arguments.
  3. 3The workflow fetches the changelog and tag diffs spanning that range from GitHub.
  4. 4It retrieves the passages most relevant to the asked question.
  5. 5An OpenAI model composes the diff answer constrained to retrieved text, quoting each version and change.
  6. 6The bot replies in the Discord channel with the cited version-diff answer.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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