PromptLayer, worked by an AI employee
Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your PromptLayer account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.
- Artificial Intelligence
- Connects with a key
- 16 ready-made tools
- Asked in Slack or Teams
An illustration of how the conversation reads, not a transcript from a client account.
What PromptLayer is
PromptLayer is a prompt management and observability platform for versioning, evaluating, running, and analyzing LLM applications.
You paste in a key from your own PromptLayer account. It is kept encrypted, and you can withdraw it from inside PromptLayer whenever you like.
One message in, the work done in PromptLayer.
- 01
You ask
You message your AI employee in the chat your team already has open, in one sentence, in your own words.
- 02
It works out the step
It decides what the job needs in PromptLayer. You do not pick anything from a menu or wire anything together.
- 03
It does the work
Signed in to your own PromptLayer account, inside the access you granted it, doing the thing you asked for.
- 04
It reports back
It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.
What it can do in PromptLayer
These are the ready-made tools your AI employee already has in PromptLayer. It is not limited to them, but it never has to be taught these.
- Get Prompt TemplateRetrieve a prompt template version, release label, messages, model metadata, snippets, and optionally provider-ready kwargs without executing it.
- Get Registered ToolRetrieve a PromptLayer registered tool definition by ID or name at a selected version or release label without test execution.
- Get Request LogRetrieve one PromptLayer request log with its recorded input, output, timing, usage, metadata, tags, and scores.
- Get Skill CollectionRetrieve a PromptLayer skill collection and its files as JSON at a selected version or release label.
- Get TableRetrieve one PromptLayer Table's metadata and per-sheet row counts by UUID.
- Get WorkflowRetrieve a PromptLayer workflow definition by ID or name at a specific version or release label without running it.
- List Folder EntitiesBrowse or search PromptLayer folders and registry entities in the API-key workspace, optionally recursively and with metadata.
- List Prompt TemplatesSearch and page through PromptLayer prompt templates and snippets without executing a model.
- List Registered ToolsList and filter tools defined in PromptLayer's tool registry without executing them.
- List Skill CollectionsList and filter PromptLayer skill collections available in the API-key workspace.
- List Table ColumnsList one page of user and optionally system columns for a PromptLayer Table sheet.
- List Table RowsRead one page of rows and cells from a PromptLayer Table sheet, with optional schema and execution aggregates.
- List Table SheetsList one page of sheets in a PromptLayer Table, optionally filtering by referenced prompt.
- List TablesSearch and page through PromptLayer Tables by folder, name, or referenced prompt.
- List WorkflowsSearch and page through PromptLayer workflows without running them.
- Search Request LogsSearch PromptLayer request logs by text or structured filters and return one rate-limited page sorted by operational fields.
You stay the boss of your PromptLayer account.
Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.
How we handle your data- It signs in to your own PromptLayer account. You are not moving anything into ours.
- You grant access one app at a time, and you can take it back the same way.
- Everything it does in PromptLayer is written down, with what it did and when.
- Anything you tell it to check with you first, it checks with you first.
It works in PromptLayer and the rest of your software in the same job
A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.
Questions people ask about PromptLayer
- Can an AI employee really work inside PromptLayer?
- Yes. It signs in to your own PromptLayer account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
- Do I have to move anything out of PromptLayer?
- No. Nothing moves and nothing is replaced. Your records stay in PromptLayer, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
- How does it get into my PromptLayer account?
- You paste in a key from your own PromptLayer account. It is kept encrypted, and you can withdraw it from inside PromptLayer whenever you like. You approve it before anything connects, and you can take the access back the same way you gave it.
- What can it actually do in PromptLayer?
- It has 16 ready-made tools in PromptLayer today, among them Get Prompt Template, Get Registered Tool and Get Request Log. The full list is on this page. It is not limited to those, but it never has to be taught them.
- Can it use PromptLayer and the rest of my software in the same job?
- Yes, and that is usually the point. Reading a message in one app, checking a record in PromptLayer and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
- Who decides what it is allowed to do in PromptLayer?
- You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in PromptLayer is written down with what it did and when.