CHATBOTS
Slack Slash Command: Honeycomb Query to Linear Perf Ticket
A Slack slash command that runs a plain-English Honeycomb latency query, shows the p95 breakdown, and on confirmation files a Linear ticket pre-filled with the slow service.
How it runs
The automated pipeline, trigger to output.
- TriggerEngineer runs Honeycomb slash command in SlackSlack
- ActionLLM translates question into a Honeycomb query specOpenAI
- ActionRun query and post p95 breakdown with File-ticket actionHoneycomb
- LogicWait for engineer confirmation before filing
- OutputCreate pre-filled Linear perf ticket and reply with URLLinear
What it does
Closes the gap between spotting a latency problem and tracking it. An engineer runs a slash command with a plain-English latency question; the bot builds and runs the Honeycomb query, replies with the p95 breakdown, and offers a button to file a Linear ticket pre-populated with the offending service, its p95, the time window, and a Honeycomb link.
When to use it
When latency findings get discussed in Slack and then forgotten because nobody opens a ticket. Use this to make filing a well-formed perf ticket a one-click step right from the query result.
How it works
- 1An engineer invokes the Slack slash command with a natural-language latency question.
- 2An LLM step translates it into a Honeycomb query spec — dataset, window, grouping, p95 metric.
- 3The bot runs the Honeycomb query and posts the p95 breakdown with a "File ticket" action.
- 4A branch waits for the engineer to confirm before any ticket is created.
- 5On confirmation the bot creates a Linear issue pre-filled with the slow service, p95 values, window, and Honeycomb link, then replies with the ticket URL.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect HoneycombDistributed traces and queries.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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