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Connect Charla to Skyller and the AI starts reading from and acting in it through the functions your company enables — with each person's own login, approval before sensitive actions and a record of every call. Below, the actions and events the vendor publishes, what it takes to start and where this fits into the work.
Charla is a live chat and AI customer-support platform whose public API manages property contacts, conversation exports, and knowledge base articles and categories.
Description and action names are the ones the vendor publishes, in English; action descriptions are shown summarized. Skyller does not alter that content.
9 ACTIONS
published by the vendor; the company enables only the necessary ones
0 EVENTS
triggers the system can send, when the vendor offers them
API KEY
each person signs in with their own credential, encrypted
APPROVAL BY RISK
sensitive actions show a card before running
Live proof
One request, one query in Charla and one approval.
The scene shows the path of a request; the exact actions depend on the functions your company enables in Charla.
Input
A team member asks, in the conversation, for something that today requires opening Charla — inside their area's space, with their login.
What Skyller does
01Picks, among the enabled functions, a query action and looks the information up in Charla with the person's own credential.
02If the request requires writing something in Charla, acts within permission; if the function is sensitive, it first shows the card and waits for Approve.
03Returns the result in the conversation and records who asked, which action was used and when.
Result
Charla stops being an open tab and starts answering inside the conversation — through the functions your company enabled.
Good to know
The available actions are the ones the vendor publishes for Charla; in your company only the functions turned on by the administrator are available.
If a write action is not classified as sensitive, it may run without a card; the classification is adjustable by the company.
Being in this catalog does not mean being installed, with a valid login, working in your company.
Illustrative scene with fictitious data; no action is named because the choice depends on the functions your company enables.
Where this helps your work
Charla inside the conversation where the work happens.
Three common situations for people who use Charla every day. What Skyller does in each one depends on the functions your company turns on.
Needing to know what was agreed
“What did they decide in the project channel yesterday?”
The person asks and Skyller reads the channel in Charla with their login, only in the channels they belong to, and summarizes what was agreed.
Channel summary in the conversation
Notifying the team
“Tell the team the new policy has been published.”
Posting a message is a write action; with the function set to ask for approval, Skyller shows the card with channel and text and only sends it in Charla after Approve.
Message with approval
Administering
“A tool is one thing. A conversation channel is another.”
Here Charla is a tool: the AI reads and writes in it through the enabled functions. Talking to Skyller from inside Charla is a channel, contracted separately.
Two things, two controls
Actions and events
What the vendor offers in Charla.
Names as the vendor publishes them, in English, with the description summarized to its first sentence. In your company, the administrator turns on only the necessary actions; none of them runs without permission, and sensitive ones go through approval.
Showing 9 of 9
Create Knowledge Base Article
CHARLA_CREATE_KB_ARTICLE
Create a knowledge base article. Charla generates its URL slug from the title and may use it for chatbot training according to the property's AI settings. Defaults to a private draft.
Delete Knowledge Base Article
CHARLA_DELETE_KB_ARTICLE
Permanently delete one knowledge base article by ID. This cannot be undone, and deleting an already-missing article fails.
Get Contact
CHARLA_GET_CONTACT
Return one contact in the connected Charla property by UUID.
Get Knowledge Base Article
CHARLA_GET_KB_ARTICLE
Return the full content and metadata of one knowledge base article by ID.
List Contacts
CHARLA_LIST_CONTACTS
Return one page of contacts for the connected Charla property, ordered by most recently modified.
List Conversations
CHARLA_LIST_CONVERSATIONS
Export one page of conversations grouped by contact for the connected Charla property, including message history.
List Knowledge Base Articles
CHARLA_LIST_KB_ARTICLES
Return one page of knowledge base article summaries for the connected Charla property, newest first.
List Knowledge Base Categories
CHARLA_LIST_KB_CATEGORIES
Return all knowledge base categories available in the connected Charla property.
Update Knowledge Base Article
CHARLA_UPDATE_KB_ARTICLE
Replace every writable field of an existing knowledge base article. Charla regenerates the URL slug from the replacement title and may retrain chatbot content according to the property's AI settings.
Before you start
What your company needs to use Charla.
Login
Each person enters their own Charla API key, generated in their account. The key is stored encrypted and nobody sees it, not even the administrator.
Who installs
An administrator connects Charla for the company and shares it with people or groups. Anyone can connect just for themselves, within the plan's limit.
Functions
9 published actions: the administrator turns on only the necessary ones. Sensitive ones ask for confirmation before running.
Plan
Counts as a company or personal connection within the plan's allowance; the larger plans have no cap. The connections-per-plan table is on the catalog page.