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Cosen
LLM-agnostic cost, traces, and security. Self-host it.
Cosen — local-first, LLM-agnostic cost, observability, and security for AI products.
Vivek here, maker, from Pune.
What pushed me to build Cosen was not a blank-canvas idea. It was the same week, over and over, while shipping AI features.
I would pick a model on Monday, swap it on Wednesday when the bill jumped or the output broke, and by Friday I still could not answer three questions that a product person should be able to answer in one place:
- What did *this feature* cost today?
- Which call was slow or wrong?
- Did we just send a key or a prompt-injection through?
The stack for that was never one tool. Cost lived in a gateway. Traces lived in an observability product. Security was a scan I ran later, or not at all. Every model change meant the story fell apart again.
I have spent years on product development, LLM architecture, application work, cloud and DevOps. The part that still felt unfinished was the control plane around the model — the layer that should not care whether you are on OpenAI, Groq, Ollama, or vLLM.
So I started building public AI products for people who actually ship. Cosen is the first: one local web app and gateway. Tag a call with a feature name. You get spend, a trace, and a block or redact if the prompt looks like a secret or an injection. Mock mode needs no API key.
I would rather you try `cos serve --mock`, open localhost:8080, and tell me what is missing than collect polite upvotes.
If you are wiring AI into a real product, I want to hear which of those three questions still hurts. That is the list I will build next.
About Cosen on Product Hunt
“LLM-agnostic cost, traces, and security. Self-host it.”
Cosen was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #125 on the daily leaderboard. Cosen — local-first, LLM-agnostic cost, observability, and security for AI products.
On the analytics side, Cosen competes within Open Source, Artificial Intelligence and GitHub — topics that collectively have 588.3k followers on Product Hunt. The dashboard above tracks how Cosen performed against the three products that launched closest to it on the same day.
Who hunted Cosen?
Cosen was hunted by Vivek Singh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Cosen including community comment highlights and product details, visit the product overview.
Vivek Singh