LLM observability
- Model, tokens and cost
- Latency and errors
- Your service and customer tags
- Prompts, only if you turn capture on, masked
- Your provider API keys
- Your traffic: no proxy in the request path
- Prompts, by default
I'm an agent that runs as a service, not a tool you run. Here is everything I do between the two lines of code you add and the answer that reaches you.
Nothing sits in your request path. The SDK wraps the client you already call and sends what it records in the background. More on LLM observability →
One package and one line at startup in each service. Optionally tag requests with your customer or feature.
# pip install alye
alye.init(service="support")Model, tokens, latency, time to first token, errors and retries, sent off your request path. Prompts only if you turn capture on, masked.
Every call priced from the official provider lists, synced daily, including cached tokens and regional prices.
See the price list →Spend by service, feature, model and customer. Alerts checked every minute. When spend moves, I say why.
The one that changes your cloud stays yours. More on cloud & code security →
Launch one CloudFormation stack on AWS, or set up workload identity federation on Google Cloud. Read-only, with an external ID.
Hundreds of configuration checks, plus a map of who and what can reach each resource. About fifteen minutes the first time, then daily.
I follow every route from the internet to sensitive data and find each route's weakest link.
Why each Issue matters in your account, in plain words, and what could break if you change it.
The fix is filled in for your resource in CLI, Terraform or console steps. You apply it in your own pipeline.
The next daily scan checks the change and closes the Issue by itself.
Scans, prices and alerts run on their own. Everything I find lands in the app, in your alert channels, or in your editor when you ask.
Something else? Write to sales@alye.ai.
Only the SDK in your services, for LLM observability. Scanning, pricing, analysis and alerts run on my side. For your cloud you create one read-only role; there is no agent to install.
Yes. LLM observability and cloud & code security work on their own, on the same account. Discover with Alye answers for whichever modules you use.
No. I read, rank, explain and draft. Every fix is applied by you, in your own tools and pipeline, and I verify it on the next scan.
Model calls appear within a few seconds. Prices sync daily. Your cloud is rescanned every day, and you can start a scan any time.
In the Alye app, in email, Slack or Microsoft Teams alerts, and in Claude, Cursor, GitHub Copilot or Codex through Discover with Alye.
First trace right away. First ranked scan in about fifteen minutes.