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DeepSeek AI Make integrationAutomate DeepSeek AI with Make.
Want DeepSeek to write replies, summaries or code inside the tools your team already uses? The DeepSeek AI Make integration gives you 4 modules, no trigger, and an API key is all it takes. This guide connects your account and walks you through a first working scenario.
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What can the DeepSeek AI Make integration do?
The DeepSeek AI Make integration lets a Make scenario (the automation you build, a chain of steps) send text to a DeepSeek model and pass the answer to your other apps. Each step is a module, and DeepSeek brings four of them: one to get a response, one to list models, one to read your balance and one for any other API call.
Replies drafted before anyone opens the ticket. A support team routes each new message into Create a Chat Completion and gets a draft answer back, ready to review in the helpdesk or a shared inbox. The model writes, a person decides.
A model catalog that stays accurate. List Models returns the models your account can call, one bundle (one item passed to the next module) per model. Store them in a table, for example through the Airtable Make integration, so whoever builds prompts picks from the real list.
A credit check before a big batch. Put Get Balance at the start of a scenario that will generate many completions, and look at what it returns before the heavy work starts.
What the app does not do: it has no trigger, so DeepSeek never starts a scenario by itself. Another app or Make’s own schedule starts it. The doc lists no numeric limit for these modules either. Anything outside the four modules goes through Make an API Call. If you are still choosing a tool, read our n8n vs Make comparison, and the Make pricing page explains how operations are counted.
How do you connect DeepSeek AI to Make?
- 01
Create an API key in DeepSeek
Log in to your DeepSeek AI Platform account and open API keys in the left sidebar. Click Create new API key, give it a name you will recognize, confirm with Create API key, then copy the value.
- 02
Add a DeepSeek AI module in Make
In your scenario, add any DeepSeek AI module and click Create a connection. A connection is your DeepSeek account linked to Make once, then reused by every DeepSeek module. The Connection name field is optional.
- 03
Paste the key and save
Paste the key into the API Key field and click Save. If Make asks you to authenticate or confirm access, accept it. The connection now appears in the module, and the other DeepSeek modules can pick it from the list.
Your first scenario with DeepSeek AI and Make
GoalWhen a new message lands in the app your team already uses, Make asks DeepSeek AI for a draft reply.
- 01
Create the scenario
Open the Scenarios page, create a new scenario and click the +. DeepSeek has no trigger, so the first module comes from the app where your messages arrive: a form, an inbox or a helpdesk.
- 02
Add Create a Chat Completion
Click the + on the right of that first module, search for DeepSeek AI and pick Create a Chat Completion. Select the connection you created, or click Create a connection if you skipped that part.
- 03
Map the incoming text
Fill the module fields and map the text of the incoming message from the first module into them. Mapping means Make drops the value of the previous step into this field on every run, instead of a fixed text.
- 04
Test with Run once
Click Run once and send yourself a test message. Make runs the scenario one time and shows the bundles each module received, so you can read the draft DeepSeek wrote before anything goes further.
- 05
Schedule and switch it on
Open the clock on the first module to set the schedule, every 15 minutes by default, then switch the scenario on. From then on, each new message gets its draft without anyone copying and pasting prompts.
What the DeepSeek AI modules do in Make
DeepSeek AI gives you 4 modules in 2 groups. For each one: what it does for you, when to reach for it, and what to watch out for.
DeepSeek AI
3 modulesCreate a Chat Completion
ActionIn Make“Creates a model response for the given chat completion.”
You send a conversation to a DeepSeek model and get its written answer back as a bundle the next module can use. This is the module that actually produces text or code.
List Models
SearchIn Make“Returns a list of models.”
This search returns the models your DeepSeek account can reach, one bundle per model, so you see exactly what is available instead of guessing a name.
Get Balance
ActionIn Make“Returns the user's balance information.”
Get Balance reads the balance information of your DeepSeek account and hands it to the next module, so a scenario can know where your credit stands.
Other
1 moduleMake an API Call
ActionIn Make“Performs an arbitrary authorized API Call.”
With this module you call any endpoint of the DeepSeek API yourself, using the same connection as the other three modules, without setting up a key again.
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