STEP 1
Select Ollama in workflow
Pick Ollama app in the workflow builder [4] - just one click to select the app.
Ollama Integration
Platform for running open large language models locally or in the cloud. Connect Ollama to the rest of your stack so AI outputs can trigger real workflow actions. Start with Check If Blob Exists, then use Fetch Web Page or Get Version to turn results into useful next steps.
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Supported triggers and actions for Ollama integration
Triggers can detect changes in Ollama and run actions that can create, search or modify data inside Ollama automatically [3] — exactly how you set them.
- Check If Blob ExistsChecks whether a model file with a given digest is already stored on the server.
- Fetch Web PageFetches a web page with Ollama's web fetch and returns its title, text and links.
- Get VersionReturns the version of the Ollama server.
- List ModelsRetrieves a list of the models available on the Ollama server.
- List Running ModelsRetrieves a list of the models currently loaded into memory.
- Search the WebSearches the web with Ollama's web search and returns the top results with page text.
- Show Model InformationReturns the details, capabilities, template and parameters of a model.
- Copy ModelCopies an existing model to a new name.
- Create ModelCreates a new model from an existing model or from uploaded model files.
- Delete ModelDeletes a model and the files only it uses from the server.
- Generate Chat CompletionGenerates the next assistant message in a conversation, optionally calling your tools.
- Generate CompletionGenerates a text response from a model for a single prompt.
- Generate EmbeddingsConverts one or more texts into vector embeddings.
- Make an API CallPerforms an arbitrary authorized API call.
- Pull ModelDownloads a model from the Ollama library to the server.
- Push BlobUploads a model file to the server so Create Model can use it.
- Push ModelUploads a model from the server to the Ollama library.
How to integrate Ollama in automation workflow?
3 simple steps to make your Ollama connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect Ollama
When prompted, authorize access to Ollama in WEXTL once. Ollama credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your Ollama account. Approve?
STEP 3
Build a workflow
Build your workflow with Ollama yourself or with WEXTL® AI Builder. Connect Ollama to any available integrations [5], or use HTTP node to go beyond them.
Ollama
How Ollama connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever Ollama app is called in workflows. That allows your ai automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that Ollama supports.
The following table illustrates what fields Ollama integration require during authorization flow inside our workflow builder [4].
Connect Ollama
Hosting*Text
••••••••
API Key*Text
••••••••
Demonstration of Ollama connection step inside WEXTL Workflow Builder [4].
| Field | Type | Help |
|---|---|---|
HostingRequired | select | Ollama Cloud runs models on ollama.com and needs an API key. Choose Remote server for your own Ollama server that is reachable from the internet. |
API Key | password | Required for Ollama Cloud: create one at ollama.com/settings/keys. For a remote server, fill it in only if your proxy checks a Bearer token. Search the Web and Fetch Web Page work only with Ollama Cloud hosting; on a remote server connection the key is never sent to ollama.com. |
Connect Ollama to popular apps on WEXTL
Enter a name of the other app you want to sync with Ollama below. Click on selected app to explore integration options with Ollama. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.
Example automation with Ollama integration
Select Check If Blob Exists action from Ollama - this will be a starting point in your automation. Whenever event happens in Ollama, workflow will start [7] from Check If Blob Exists node.
Search for Push Blob, connect it as the next step of integration sequence. You can use filters between Check If Blob Exists and Push Blob, so only important data pass from Check If Blob Exists to the next step. WEXTL gives you full control over the process of Ollama automation. All parts of workflow are visible on the canvas [4].
Ollama on WEXTL has 17 modules for combining ai automations. Explore Ollama documentation for more.
Ollama
Check If Blob Exists
Alibaba Cloud (Qwen)
Performs action
OR
Alibaba Cloud (Qwen)
Triggers
Ollama
Push Blob
Demonstration of how visual Ollama automation [6] looks in WEXTL.
Frequently asked questions
Common questions about automating Ollama in your workflows.
Ollama has no triggers, but it provides 17 actions including "Check If Blob Exists", "Fetch Web Page", and "Get Version". Pair them with triggers from other apps to automate Ollama tasks.
Integration has 17 actions, including "Check If Blob Exists", "Fetch Web Page", and "Get Version", and more. Refer to our Ollama Documentation for detailed inputs and outputs.
No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].
Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.
The Ollama integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by Ollama official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where Ollama provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever Ollama or any other service sends event to webhook URL.
WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for Ollama inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with Ollama modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.
References
List of sources used to gather information about the Ollama integration.
- Ollama integration source code, module specs and credentials implementation.
- Internal Ollama integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official Ollama vendor API documentation — 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.
- WEXTL® Apps Library
- WEXTL® Ollama App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation