Langdock Make integrationAutomate Langdock with Make.
What if every new row, email or form entry got an AI answer without anyone opening a chat window? The Langdock Make integration gives you 4 action modules that send a prompt to a model and hand the reply to the rest of your workflow. This page walks you through the connection, a first scenario and each module.
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What can the Langdock Make integration do for you?
The Langdock Make integration lets a Make scenario, the automation you build in Make, ask a model a question through your Langdock account and reuse the answer. Langdock has no trigger in Make, so something else starts the flow: another app, or a schedule set in Make. Langdock then does the thinking step in the middle.
Summaries that write themselves. A support ticket lands in your helpdesk app, Create an OpenAI Chat Completion turns it into a three-line brief, and the next module posts that brief where your team reads it.
A second opinion on the same text. Pass a draft to Send an Anthropic Message after the OpenAI module and ask it to check tone or spot missing facts. Two models, one scenario, one Langdock key.
Code help on demand. When a developer drops a snippet in a shared table, Create a Codestral can return a response you store next to it. If a Langdock endpoint is not covered, Make an API Call reaches it with the same connection.
What Make does not do here: watch Langdock for events. There is no trigger, so the scenario always starts from another app or from its schedule. Records coming from a base like the one in the Airtable Make integration are a common starting point.
Langdock may also exist as a node in n8n. Before choosing, read n8n vs Make, and if you want a structured path into Make itself, the Make training covers the editor step by step.
How do you connect Langdock to Make?
- 01
Get an API key in Langdock
Log in to Langdock, open the settings section and find the area for API keys. If you cannot create one yourself, ask your Langdock admin for a key. Copy it once it appears, you will paste it in Make a moment later.
- 02
Add a Langdock module in Make
In your scenario, add any Langdock module and click Create a connection. A connection is your Langdock account linked to Make once, then reused by all four modules. The Connection name field is optional, but a clear name helps later.
- 03
Paste the key and save
Paste the API key you copied from Langdock into the credentials field and follow the on-screen instructions to finish. Make then keeps the connection, so the next Langdock module you add simply offers it in a list.
Your first scenario with Langdock
GoalWhen a new record shows up in another app, Make asks Langdock for a draft, then asks a second model to review it.
- 01
Create the scenario
On the Scenarios page, create a new scenario and click the + to add the first module. Pick the app that holds your source data, for example a table of incoming requests, and connect it.
- 02
Add the OpenAI chat module
Click the + on the right of that first module, search Langdock and choose Create an OpenAI Chat Completion. Create the connection with your API key, then map the text of the request into the message you send.
- 03
Add the Anthropic review
Add Send an Anthropic Message after it. Map the reply from the previous module into your message and ask the model to check the draft. Each item that flows through is a bundle: here, one request and its answer.
- 04
Test with Run once
Click Run once. Make runs the scenario a single time and shows the bundles each module received, so you can read both answers and adjust your prompts before anything goes live.
- 05
Schedule and switch on
Open the clock on the first module. A new scenario runs every 15 minutes by default, which is also the shortest interval on the Free plan. Keep it or change it, then switch the scenario on.
What the Langdock modules do
Langdock gives you 4 modules. For each one: what it does for you, when to reach for it, and what to watch out for.
Create a Codestral
ActionIn Make“Creates a model response for the given chat conversation using an OpenAI model.”
You get a model reply to a chat conversation through your Langdock account, ready to store or pass on. Its name points to code, so try it first when your prompt is about a script.
Create an OpenAI Chat Completion
ActionIn Make“Creates a model response for the given chat conversation using an OpenAI model.”
This one hands you an answer from an OpenAI model for the conversation you build from earlier modules. Put the text you want processed in the message, and the reply comes back as data you can map anywhere after it.
Make an API Call
ActionIn Make“Performs an arbitrary authorized API call.”
With this module you can reach any endpoint of the Langdock API, reusing the connection you already created, so there is no second key to manage. It fills the gap when the three ready-made modules do not cover what you need.
Send an Anthropic Message
ActionIn Make“Creates a model response given a structured list of input messages using the Anthropic API.”
Here the reply comes from the Anthropic API: you pass the conversation as an ordered set of messages and get the model's answer back, ready to map. It is the natural choice when your team prefers Anthropic models for a given task.
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