STEP 1
Connect DeepSeek and Relevance AI
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
DeepSeek and Relevance AI Integration
Build ai integration workflows between DeepSeek and Relevance AI applications in 3 simple steps. Pick an action inside DeepSeek, then subsequent action inside Relevance AI, map fields once and automation will run exactly how you set it in visual builder.
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Learn about DeepSeek and Relevance AI
Detailed info you need to know about DeepSeek and Relevance AI integrations in WEXTL. Explore which modules apps support and how you connect them.
Relevance AI
Platform for building and running AI agents, tools, and workflow automations. [6]
How to connect DeepSeek to Relevance AI
Set up your DeepSeek and Relevance AI integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected DeepSeek and Relevance AI nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between DeepSeek and Relevance AI. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between DeepSeek and Relevance AI work in WEXTL?
WEXTL exposes actions and triggers for DeepSeek and Relevance AI that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
DeepSeek actionsRelevance AI actions
DeepSeek modules
- Create a Chat CompletionCreates a model response for the given chat conversation.
- Create a FIM Completion (Beta)Creates a FIM (Fill-In-the-Middle) completion.
- Make an API CallPerforms an arbitrary authorized API call.
Relevance AI modules
- Get Conversation MessagesRetrieves messages from an existing conversation.
- Make an API CallPerforms an arbitrary authorized API call.
- Send a Message to ConversationSends a message to an existing conversation.
- Start a New ConversationSends a message to an agent to start a new conversation.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with DeepSeek and Relevance AI integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting DeepSeek and Relevance AI.
Connect your DeepSeek and Relevance AI accounts once, pick an action in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: use DeepSeek's "Create a Chat Completion" action to perform Relevance AI's "Get Conversation Messages" action. DeepSeek has 3 actions (including Create a Chat Completion, Create a FIM Completion (Beta), and Make an API Call); Relevance AI has 4 actions (including Get Conversation Messages, Make an API Call, and Send a Message to Conversation). Add filters and transforms between steps when you need them. [1]
Yes — pick an action in either app, then an action in the other, and map the fields between them. [2]
No. DeepSeek-to-Relevance AI automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment DeepSeek (or Relevance AI) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your DeepSeek + Relevance AI automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the DeepSeek and Relevance AI integration.
- DeepSeek and Relevance AI integration source code, module specs and credentials implementation.
- Our DeepSeek and Relevance AI integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for DeepSeek and Relevance AI — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- DeepSeek integration information
- Relevance AI integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library