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Originally created by @ajasingh on GitHub (Oct 20, 2023).
Original GitHub issue: https://github.com/ollama/ollama/issues/849
We have deployed OLLAMA container with zephyr model inside kubernetes , so as a best practice we want to secure the endpoints via api key similar way to OpenAI , so is there any way to do this ?
@BruceMacD commented on GitHub (Oct 20, 2023):
The solution to this for the time being would be to add an authenticating proxy in front of Ollama (ex: nginx with basic auth)
@coolaj86 commented on GitHub (Oct 21, 2023):
Here's how you add HTTP Basic Auth with
caddyas a reverse proxy tolocalhost:11434, and also handle HTTPS automatically:password.txtcaddy.env:Caddyfilewith basic auth using the ENVsAnd if you want to run it as a system service, or without HTTPS or need other details, I've got a bunch of snippets up at https://webinstall.dev/caddy.
@ParisNeo commented on GitHub (Jan 9, 2024):
With caddy you can also do multiple users. You can create a little interface to add users and serve it with the tool. That makes using ollama much safer
@DimIsaev commented on GitHub (Jan 15, 2024):
why the authorization mechanism cannot be built into the ollama server?
@ParisNeo commented on GitHub (Jan 16, 2024):
If you are interested, I have built a proxy server for ollama:
https://github.com/ParisNeo/ollama_proxy_server
It allows those features:
1 - Authentication with user:key Bearer
2 - Adding new users
3 - Logging access to the service (useful for statictics). By default the proxy doesn't log your requests, it only logs that you requested generation which is useful for statistics and for dimensionning the network.
4 - Routing to multiple ollama instances. For example you can have multiple ollama servers and use a single endpoint that will take care of dispatching the generation requests to the different servers . Each server has its own generation queue and the proxy will always forward the request to the server with the least number of requests in the queue. This makes it possible to serve simultaniously multiple clients while garanteeing a minimum latency.
Ollama is a very powerful and fast generation tool. But I think with the new proxy, it takes the potential to a new level.
As client I use lollms (obviously) :)
https://github.com/ParisNeo/lollms-webui
@jamieduk commented on GitHub (Mar 11, 2024):
by default does it require api key for it to work how do i find this api key or it not use any api key for the web ui that i have working with ollama ? im on linux and use http://localhost:8080/ but ofc it has a backend port and python code im trying to use as an agent is asking for an api key any one help clarify please?
p.s i may of solved it
cd ~/Documents/Scripts/AI/Ollama/open-webui/backend
cat .webui_secret_key
@alx-xlx commented on GitHub (May 30, 2024):
@coolaj86 Hey I tried to use your steps, I am running it on macos, but I get this error
HERE is my config
@tandriamil commented on GitHub (May 31, 2024):
The environment variables do not match in this example. Try replacing
env.BASIC_AUTH_USERNAMEbyenv.BASIC_AUTH_USERandenv.BASIC_AUTH_DIGESTbyBASIC_USER_AUTH. 😉@alx-xlx commented on GitHub (May 31, 2024):
I am using this configuration and it does prompt me to enter username and password, however when I do so it gives
ERROR : 403Logs when I enter the username and password
@dheavy commented on GitHub (Jun 2, 2024):
Sorry, this isn't solving the precise issue discussed on the couple of previous messages, but as an alternative solution for the subject of this thread -- I have developed a quickly deployable solution to not have to deal with nginx
https://github.com/dheavy/ollama-secure-proxy
@bartolli commented on GitHub (Jun 6, 2024):
I was playing for a few days to get the Ollama Go and the llama.cpp server to work with native
api_keyauthentication but didn't have much luck with the custom build. It seems Ollama build does not rebuild llama.cpp, or at least I didn't figure it out how. So, I created a Docker image with a Caddy server to securely manage authentication and proxy requests to a local Ollama instance. You can choose between two methods: environment-based API key validation or using multiple API keys stored in a.conffile for extra security. Check out these repos:For using
OLLAMA_API_KEYas a local environment variable:https://github.com/bartolli/ollama-bearer-auth
For supporting multiple API keys stored in a config file, check out this repo:
https://github.com/bartolli/ollama-bearer-auth-caddy.
@chigkim commented on GitHub (Jun 22, 2024):
It would be great for Ollama to directly support api token with ssl!
@SomeoneSerge commented on GitHub (Sep 20, 2024):
Note: https://github.com/ollama/ollama/issues/739 would allow to accomplish this in a simple systemd unit, without doing anything cursed about network namespaces
@kesor commented on GitHub (Oct 11, 2024):
I also created "The Solution" using nginx and an authentication check, sitting inside a docker container. Using Cloudflare Tunnel has the added benefit of SSL encryption as well. https://github.com/kesor/ollama-proxy
@KaKi87 commented on GitHub (Feb 9, 2025):
Hello @mxyng,
Why is this feature discarded ?
Thank you
@frederikb96 commented on GitHub (Feb 25, 2025):
This is deprecated by now. You can instead try this, which works for me together with API Key auth and I am able to use it with openai connectors which require API Key auth:
@vadimkantorov commented on GitHub (Apr 3, 2025):
I agree, supporting a basic API key / basic auth would be a great feature for basic bootstrapping / testing ollama (without having to also configure/test nginx for proxy). Similar to how Jupyter Hub supports a username/password out of the box - to avoid bots scanning the internet for ollama endpoints
@sanjibnarzary commented on GitHub (Apr 8, 2025):
APISix from Apache is very Good in this scenario.
@hansenz42 commented on GitHub (May 14, 2025):
After testing with curl, I found that when accessing via some "api.example.com", you need to set the reverse proxy header to localhost. Otherwise, Ollama will deny the request with a 403 error:
@PJ-568 commented on GitHub (May 16, 2025):
Reply
Yet another approach:
curl -sSL https://raw.githubusercontent.com/PJ-568/ollama-proxy/refs/heads/master/install.sh | bashForm PJ-568/ollama-proxy.
@Ccocconut commented on GitHub (Sep 3, 2025):
It is not ollama's job. It is yours to use whatever you can, i.e. nginx or Caddy to secure your shit. It is out of scope of ollama and it adds friction and unnecessary code that may introduce bugs.
@KaKi87 commented on GitHub (Sep 3, 2025):
When one serves content on a port, it is.
@Ccocconut commented on GitHub (Sep 3, 2025):
No. Ollama should not implement authentication. Its focus is on serving models. Security (auth, TLS) should be handled by a reverse proxy like Nginx or Caddy. This separation is standard in web architecture: application logic vs. access control.
To elaborate: serving content on a port does NOT automatically imply that it is responsible for access control or authentication. The act of binding to a port and responding to requests is a technical requirement for providing a service, but securing that service (via Basic Auth, TLS, or other mechanisms) is generally delegated to a reverse proxy or security layer. Expecting the service itself to implement authentication conflates the responsibilities of service delivery and access control, which are typically separated for maintainability and security reasons.
Expecting every service to implement access control would be absurd. What's next, fork OpenBSD for every port it opens? If listening on a port meant you needed built-in security, every daemon on Unix would come bundled with its own firewall. Spoiler: they don't, and that's how sane system architecture works. Protect the service yourself, you are responsible!
The idea that (opening) a port automatically makes a program responsible for security is as misguided as thinking a toaster should handle fire suppression.
@KaKi87 commented on GitHub (Sep 3, 2025):
Absolutely not.
Ever heard of inter-process communication (IPC), especially Unix domain sockets (UDS), which a lot of services use, like Docker, to respond to requests from a huge variety of clients ?
@Ccocconut commented on GitHub (Sep 3, 2025):
Yes, I'm aware of IPC and Unix Domain Sockets. Many services, especially on Unix, indeed use UDS or other IPC mechanisms to receive requests locally without opening a network port. My point wasn't that every service must bind to a TCP port, it was that whatever mechanism a service uses to accept requests, it is not inherently responsible for authentication or access control. Whether it's a TCP port, a UDS, or another IPC channel, securing access is still the responsibility of a security layer (reverse proxy, firewall, system permissions, etc.), not the service itself.
The underlying principle remains: serving requests ≠ handling authentication.
To reiterate: Ollama serves models. Protect the service yourself, you are responsible. Ports or sockets don't confer magical security duties.
@KaKi87 commented on GitHub (Sep 3, 2025):
That's where I disagree.
If you use IPC, you're already protected.
If you use a port, you are responsible for protecting it.
@Ccocconut commented on GitHub (Sep 3, 2025):
Yes, I couldn't agree more: if you use a port, you are responsible for protecting it - that's literally my point. Whether it's a TCP port, a UDS, or any other interface, the service itself doesn't enforce security - the responsibility always lies with whoever exposes it, i.e. YOU. IPC like Unix Domain Sockets may reduce exposure via OS-level permissions, but any interface has boundaries that must be consciously secured. Thinking ports make a program responsible while UDS absolves it is oversimplified. Ollama serves models - you are responsible.
@vadimkantorov commented on GitHub (Sep 3, 2025):
I think, basic auth support (built-in) or via an official python wrapper is important, but not for production use - for testing and tinkering ollama in small teams, like JupyterLab does it (having some basic password protection support). So that it's a bit harder to have a footgun by default...
@kesor commented on GitHub (Sep 3, 2025):
The least ollama could do is reference third party solutions, many of which were mentioned in this thread, in some kind of documentation or wiki or something. So that anyone raising this issue again can be referred to the list of existing solutions.
@Ccocconut commented on GitHub (Sep 3, 2025):
I see where you're coming from, having lightweight password protection for local testing or small teams can make experimentation safer and reduce accidental exposure.
That said, I would still argue that this is fundamentally different from built-in authentication for production-level security. Even "lightweight" protection can give a false sense of safety / security if someone assumes it's robust. In practice, any serious deployment should rely on standard access controls - reverse proxies, TLS, OS-level permissions - rather than expecting the model server itself to handle authentication.
I agree, having a section in the documentation or wiki that references third-party solutions for securing Ollama (Nginx, Caddy[1], reverse proxies, OS permissions, etc.) would be very helpful. It doesn't change the principle that Ollama itself should focus on serving models, but it would make it easier for users to find safe ways to deploy it without reinventing the wheel or misunderstanding responsibilities. I would probably add a section for various methods of doing this.
[1] Something like https://github.com/ollama/ollama/issues/849#issuecomment-1773697189, for example.
@KaKi87 commented on GitHub (Sep 4, 2025):
I meant you as the developer.
@KaKi87 commented on GitHub (Sep 4, 2025):
What's the difference between built-in BasicAuth and Caddy's BasicAuth ?
@ParisNeo commented on GitHub (Sep 6, 2025):
I have just finished building the new version of my ollama proxy with multi servers support, multi users, multi keys and with rate limiting and a full dashboard that shows statistics and stuff.
Have fun!
@flan7 commented on GitHub (Sep 24, 2025):
Auth with api key is standard for every other provider and requiring a home brewed reverse proxy breaks many endpoints such as home assistant. Home assistant will never be able to add compatibility for ollama auth if every user has a different implementation.
Not adding auth to software you created requiring open ports is just contributing to a terrible greater security ecosystem. You can see this from the vast amount of open ollama instances on the internet. Basic security should not be considered out of scope
@Cranke commented on GitHub (Sep 26, 2025):
"out of scope" to secure an api with authentication?
is it still 1995?
if you want to create a product and not just a toy, you will need auth.
@ParisNeo commented on GitHub (Oct 31, 2025):
The new version of my ollama proxy server is ready for those who need security. it is packed with alot of functionality with an administrative ui, statistics, load balancing and more:
It took me a long time to build, So hope you find it useful.
https://github.com/ParisNeo/ollama_proxy_server