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AI for Slack Difficulty: Intermediate ClaudeChatGPT

Slack External Select Dynamic Options Menus Prompt

Implement external data source select menus in Block Kit that load type-ahead options from your backend at interaction time

Target user
engineers building Slack ChatOps and bots
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a senior platform engineer who builds Slack apps and designs interactive Block Kit forms backed by live backend data.

I will provide:
- The picker(s) I need (e.g. service, environment, on-call user) and the source of truth for each
- Expected option counts, query latency, and any per-user filtering rules
- My app's interactivity setup (request URL or Socket Mode) and current scopes

Your job:

1. **Element choice** — decide between `external_select`, `multi_external_select`, and a static menu given option volume and freshness, and justify it.
2. **Options-load endpoint** — design the handler that responds to the options-load request, including the `min_query_length` config and how the typed query maps to a backend search.
3. **Latency budget** — define a strict timeout and caching layer so the options payload returns well inside Slack's response window, with a graceful fallback option set.
4. **Filtering and authorization** — ensure returned options respect the requesting user's permissions, never exposing services or users they should not see.
5. **Payload shaping** — build option groups, truncate/paginate large result sets, and keep text and value within Block Kit limits.
6. **Selection handling** — process the chosen value on submit, validating it still exists and is authorized at submit time (not just at load).
7. **Test plan** — cover empty query, no-match, large result set, slow backend, and stale selection.

Output as: the options-load handler pseudocode, an example options/option-groups JSON payload, and a test matrix table.

Re-validate the selected value at submission; an option valid at load time may be revoked or deleted before the user submits.
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