Append Thread Messages
Tool to add new messages to an existing conversation thread. Use when continuing a chat session or adding context to a thread.
ActionTry it
Integrate Langbase
with your AI CRM
Langbase is a serverless AI developer platform that enables developers to build, collaborate, and deploy AI agents and applications with composable AI infrastructure.
Explore Triggers and Actions
Check API Health
Tool to check the health status of the Langbase API service. Use when you need to verify API availability.
ActionTry it
Create a new pipe
Tool to create a new pipe. Use after configuring pipe parameters. Returns an array of pipe objects, each including API key and URL.
ActionTry it
Create Memory
Tool to create a new memory. Use when storing a new memory record in Langbase after confirming memory details.
ActionTry it
Create Thread
Tool to create a new conversation thread. Use when starting a fresh chat session or grouping messages into a distinct thread.
ActionTry it
Delete Memory
Tool to delete a specific memory. Use when you need to permanently remove a stored memory by its name.
ActionTry it
Delete Thread
Tool to delete a thread that is no longer needed to manage conversation history. Use when you need to permanently remove a thread by its ID.
ActionTry it
Delete Thread Message
Tool to delete a specific message from a conversation thread. Use when you need to remove a message from a thread by its ID.
ActionTry it
Get Pipe Details
Tool to retrieve details of a specific pipe by owner and name. Use when you need to fetch configuration and settings of a particular pipe.
ActionTry it
Get Thread Details
Tool to retrieve details of a specific conversation thread. Use when you need the full thread details by its ID after confirming its existence.
ActionTry it
List all pipes
Tool to list all pipes. Use after authentication to retrieve the complete list of pipes. Returns an array of pipe objects; callers must handle list iteration.
ActionTry it
List Available Models
Tool to get available AI models supported by Langbase. Use to discover text and image generation models from various providers.
ActionTry it
List Documents in Memory
Tool to list documents in a specific memory. Use when you need to fetch document metadata (and optionally vectors) from a memory after confirming its name. Supports pagination via limit and startAfter parameters.
ActionTry it
List Execution Traces
Tool to get execution traces for debugging and monitoring pipe runs. Use when you need to retrieve trace logs for a specific primitive.
ActionTry it
List Memories
Tool to list all memory objects. Use when you need to fetch stored memories for context retrieval.
ActionTry it
List Thread Messages
Tool to list all messages in a conversation thread. Use after obtaining the thread ID to fetch its messages.
ActionTry it
Split Content into Chunks
Tool to split content into smaller chunks. Use when processing large text segments to fit downstream limits.
ActionTry it
Update an existing pipe
Tool to update an existing pipe's configuration on Langbase. Use when modifying model settings, parameters, prompts, tools, or memory. The pipe must already exist.
ActionTry it
Update Thread Message
Tool to update an existing message in a conversation thread. Use when you need to modify the content or metadata of a specific message.
ActionTry it
Update Thread Metadata
Tool to update an existing thread's metadata. Use when you need to modify metadata fields for managing and organizing conversation threads.
ActionTry it
How the Langbase integration works
The Langbase integration connects your Dench AI CRM directly to Langbase, so agents can read and act on your Langbase data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
20 actions are available for agents to invoke on your behalf. Every call runs through Langbase's own authorization, scoped to the account you connect.
Set up Langbase in Dench
- 1
Sign in to your Dench workspace and open Integrations.
- 2
Find Langbase and click Connect — you'll authorize access through Langbase's own sign-in flow. No API keys or code required.
- 3
Ask an agent to use Langbase in chat, or call it from an automation.
- 4
Manage or disconnect the connection any time from workspace settings.
Frequently asked questions
How does the Langbase integration work with Dench?
The Dench Langbase integration connects your AI CRM to Langbase, so AI agents can work with your Langbase data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
What actions can AI agents perform with Langbase via Dench?
The Langbase integration currently exposes 20 actions, including Append Thread Messages, Check API Health, Create a new pipe, Create Memory, Create Thread, and Delete Memory. Agents invoke them on your behalf from chat or from automations.
Do I need to write code to connect Langbase to Dench?
No. You connect Langbase from your Dench workspace using Langbase's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Is the Langbase integration secure?
Connections are authorized through Langbase's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Langbase connection from your workspace settings at any time.