Langbase
Developer Tools & DevOps

Connect Langbase to Your AI Agents

Enable your Wkil agents to manage conversation threads, memory documents, and AI pipes through Langbase.

Authentication: API key

What you can do

  • Manage conversation threads and messages
  • Store and retrieve documents from memory
  • Create and update AI pipes

Available capabilities may vary by authentication and workspace configuration.

Actions supported by the connector

Create Thread
Create a new conversation thread.
Append Thread Messages
Add new messages to an existing conversation thread.
Create Memory
Create a new memory store for retrieval.
List Documents in Memory
List the documents stored in a specific memory.
List Available Models
List the AI models available on Langbase.

Practical agent use cases

  • An agent appends a new message to an ongoing conversation thread it manages.
  • An agent stores a document in memory so it can be retrieved in later conversations.

How it works with Wkil

  1. 1
    Choose the integration
    Add Langbase to your agent from inside the Wkil platform.
  2. 2
    Grant the permissions it needs
    Define precisely what the agent can access and perform.
  3. 3
    Test, then run it
    Test 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.

FAQ

What is a 'memory' in this context?

It's a document store an agent can search for retrieval-augmented responses.

Build with Langbase

Build with Langbase