AI & RAG
Slack breaking-change answer bot grounded in API changelogs
Answers developer questions in Slack about API breaking changes by retrieving the exact changelog entries and version diffs.
How it runs
The automated pipeline, trigger to output.
- TriggerDeveloper mentions bot in Slack with a version questionSlack
- ActionFetch CHANGELOG and release notes from GitHubGitHub
- ActionRetrieve and rank relevant changelog passagesOpenAI
- ActionCompose answer grounded in retrieved diffsOpenAI
- LogicVerify each claim has a citation; flag if unsupported
- OutputPost cited answer in the Slack threadSlack
What it does
When a developer asks in Slack whether something breaks between API versions, this bot retrieves the relevant changelog sections and CHANGELOG diffs, then answers in-thread with the specific breaking change, the version it landed in, and a link back to the source entry. No more guessing or hand-searching release notes.
When to use it
Run this when your team fields recurring "did X change in vN?" questions in a support or engineering channel and you want grounded, citeable answers instead of tribal knowledge. Ideal for platform teams maintaining a public or internal API.
How it works
- 1A developer mentions the bot in Slack with a version-related question.
- 2The bot pulls the API CHANGELOG and release notes from GitHub for the versions in question.
- 3It retrieves and ranks the changelog passages most relevant to the question.
- 4An OpenAI model composes an answer constrained to the retrieved text, quoting the exact diff lines and version tags.
- 5A logic step verifies every claim maps to a retrieved citation; unsupported answers are flagged for human review.
- 6The bot posts the grounded answer with source links back into the Slack thread.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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