Langbase Integration & Workflow Automation
Run Langbase on autopilot. Keep the veto.
20 actions
AI pipes and memory inside Langbase fire changes before you've had a chance to review them. Rills proposes each action, you approve before anything goes out.
Interactive. No signup. 14 days free · approvals always free.
Most automation fires first, asks later. Rills shows you the change before it ships.
Every consequential communication action from Langbase arrives on your phone first. Approve in seconds. Decline without explaining yourself. Workflows wait, paused at zero cost, until you decide.
Queue 3
Apply updates to 3 active pipes with new prompt config?
3 pipes modified in last 6h · all in production
Same config pushed caused drift in last Tuesday's run
No test thread created before proposed change
Free to wait. Free to think.
Approvals and logic don't cost a credit. Pause a workflow for three hours or three weeks. The price is the same: zero. You only pay when something real happens: an AI call, an outbound action.
Approve from your phone in five seconds.
Swipe right when you're sure. Decline when you're not. Between meetings, mid-coffee, on the train. No dashboard to babysit, no inbox triage, and no surprise send you find out about after it's already out the door.
Routine cases graduate themselves.
Every approval feeds a confidence score for that exact workflow shape. The obvious cases (the ones you've green-lit fifty times) start running on their own. The judgment calls still come to you.
About Langbase automation
Threads accumulate, pipes get updated, and memory chunks get deleted inside Langbase faster than any one person can track. By the time you notice something went out wrong, the downstream effect is already running.
When Langbase runs unsupervised
Unsupervised Langbase automation ships changes to live pipes and memory that touch every conversation your AI handles. One wrong update goes out, and every thread after it inherits the mistake.
- Update an existing pipe fires with stale config and rewrites behavior for every active user session before you can roll it back.
- Delete Memory removes a knowledge block your AI depends on, and nothing warns you until responses start failing.
- Append Thread Messages injects content into a live conversation thread without any record of why it was added.
- Create a new pipe launches an untested agent path that starts routing real traffic before you've seen what it does.
- Delete Thread wipes a conversation record, including context your support or communication workflow still needs.
What Rills does inside Langbase
Rills sits between your workflow logic and Langbase's communication layer, catching proposed actions like pipe updates, memory deletions, and thread changes before they go out. When a rule triggers an update to an existing pipe or a delete memory call, Rills queues it for your approval instead of executing immediately.
The pipe update still happens; you just see it before it ships.
Why Langbase has no triggers and how Rills fills the gap
Langbase has no native event triggers, so nothing stops an automated rule from firing into it the moment upstream conditions are met. Rills compensates by letting you approve Langbase actions on a schedule or in response to events from other tools.
- Scheduled polling checks for stale or orphaned threads using List Thread Messages and queues a Delete Thread proposal for your review each morning.
- Upstream signals from your communication stack can trigger a Create Memory or Split Content into Chunks proposal, held until you approve.
- List Execution Traces runs on a cadence to surface unexpected pipe behavior, so you see anomalies before they become patterns.
- List all pipes runs periodically to flag pipes that have been modified recently, giving you a review window before the next traffic cycle.
What Rills can do in Langbase
4 of 20 actions across reads, writes, and updates.
- 01
Create Memory
Store new information in Langbase's memory system to build a persistent knowledge base that your AI applications can reference in future conversations and interactions.
- 02
Append Thread Messages
Add new messages to an existing conversation thread to continue ongoing discussions or build context in a chat session.
- 03
Create a new pipe
Creates a new pipe with the specified configuration and returns the API key and URL needed to use it. Use this to set up a new communication channel or workflow automation in your Langbase project.
- 04
List all pipes
Retrieve a complete list of all your AI pipes to view what automation workflows and conversational systems you have set up. This helps you manage, monitor, and organize your available AI solutions in one place.
Common questions about Langbase automation
How do I automate Langbase pipe creation without losing control?
Rills proposes the pipe creation action, then waits for your approval before anything runs. You review the proposed name, config, and settings from your phone, then swipe to approve or reject. Nothing gets created in Langbase until you say so.
Can I get mobile approvals before Langbase thread messages are sent?
Yes. When Rills queues an action to append or update a thread message in Langbase, it surfaces that proposal in your mobile approval queue. You review the content on your phone and approve before it ships. No message goes out without your call.
How do I manage Langbase memory deletion safely with automation?
Deleting memory in Langbase is the kind of action you wish you'd reviewed first. Rills flags the deletion as a proposed action, shows you exactly which memory is targeted, and waits for your approval. It does not fire until you confirm.
Can I automate Langbase pipe updates and still review every change?
Rills queues each pipe update as a proposal with the full details of what would change. You approve or reject from your phone before the update goes through. Routine updates that you approve consistently can graduate to autonomous over time as confidence scoring learns your preferences.
How is Rills different from Zapier for Langbase automation?
Zapier fires actions the moment conditions are met. Rills holds every proposed Langbase action in an approval queue until you swipe. If an AI proposes the wrong pipe config or deletes the wrong memory, you catch it before it ships, not after you're cleaning up the damage.
Why use Rills instead of Make for Langbase workflows?
Make executes your scenario automatically. Rills adds a human checkpoint: every Langbase action AI proposes waits for your approval on mobile before it runs. You get the same automation coverage without handing AI unsupervised control over your pipes, threads, and memory.
Does Rills support scheduling Langbase actions like chunking or model checks?
Rills can queue Langbase operations like splitting content into chunks, checking API health, or listing available models on a schedule. Each proposed action surfaces in your approval queue before it executes. You decide which ones run automatically over time as the confidence scoring learns.
How much does Rills cost for Langbase automation?
Approvals and all workflow logic are free. You only pay when Rills takes a real action, such as creating a pipe, updating thread metadata, or deleting memory in Langbase. There is no charge for reviewing, rejecting, or adjusting a proposed action before it ships.