AI & Machine Learning
Connect FlowiseAI to Your AI Agents
Enable your Wkil agents to manage chatflows, review message history, and capture leads through a secure FlowiseAI integration.
Authentication: API key
What you can do
- Create and manage AI chatflows
- Retrieve chat history and captured leads
Available capabilities may vary by authentication and workspace configuration.
Actions supported by the connector
29 verified tools
Create Chatflow
Create a new AI chatflow in the workspace.
Get All Chatflows
List chatflows configured in the workspace.
List Chat Messages
Retrieve message history for a chatflow session.
Create Lead
Log a lead captured through a chatflow conversation.
Update Chatflow Details
Update the configuration of an existing chatflow.
Get All Leads for Chatflow
List leads captured through a specific chatflow.
Create Document Store
Create a new document store for a chatflow to reference.
Get Single Chatflow
Retrieve the configuration of a specific chatflow.
View all verified tools (search)
Clone ChatflowCreate ChatflowCreate Document StoreCreate LeadCreate ToolCreate VariableDelete ChatflowDelete Chat MessagesDelete Document StoreDelete Tool By IDDelete VariableEdit Document Store File ChunkGet All ChatflowsGet All Chat Message FeedbackGet All Leads for ChatflowGet All Upsert HistoryGet All VariablesGet Document Store By IDGet Document Store File ChunksGet Single ChatflowGet Tool By IDList All ToolsList AssistantsList Chat MessagesPing ServerUpdate Chatflow DetailsUpdate Document StoreUpdate Tool By IDUpdate Variable
Practical agent use cases
- An agent logs a lead captured through a chatflow into the sales pipeline.
- An agent reviews a chatflow's message history to audit its responses.
How it works with Wkil
- 1Choose the integrationAdd FlowiseAI to your agent from inside the Wkil platform.
- 2Grant the permissions it needsDefine precisely what the agent can access and perform.
- 3Test, then run itTest actions before they go live, with human approval where needed.
Permissions always stay in your control — you can scope access and require human approval before any sensitive action.
Related integrations
FAQ
Can an agent build a chatflow's logic from scratch?
Chatflow logic is typically designed in FlowiseAI's own visual builder; the agent manages and reports on existing flows.

