CHATBOTS

Log and Acknowledge Discord WAF Reports to Postgres

Captures every WAF false-positive report posted in Discord, validates and enriches it with the Cloudflare event, writes a structured record to Postgres.

CategoryChatbots
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew report in Discord WAF channelDiscordDiscord
  • LogicValidate ray ID; reject malformed reports
  • ActionEnrich with Cloudflare firewall eventCloudflareCloudflare
  • ActionInsert structured report into PostgresPostgreSQLPostgres
  • OutputAcknowledge reporter with tracking IDDiscordDiscord

What it does

Gives every Discord WAF complaint a durable, queryable record. When someone reports a block, the bot validates the ray ID against Cloudflare, stores a structured row in Postgres with the rule, IP, and timestamp, and replies with a tracking ID so nothing falls through the cracks.

When to use it

Use it as the foundation under your other WAF workflows: digests and proposals need clean report data. Run this first so each report is normalized and persisted the moment it arrives.

How it works

  1. 1A new message in the Discord WAF reports channel triggers the flow.
  2. 2A validation step parses the ray ID and rejects malformed messages with a help reply.
  3. 3The flow fetches the firewall event from Cloudflare to enrich the report with rule, action, and source details.
  4. 4A structured record (reporter, ray ID, rule, path, status) is inserted into Postgres.
  5. 5The bot acknowledges the reporter in-thread with a generated tracking ID for follow-up.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  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.

Run this workflow in your colony.

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