We first tried to push the dataset to the API and train the model through Python script but couldn't find any documentations on that. So trained on web platform and also provided dataset as prompts.
Kalari plugs into your coding agent and rehearses API upgrades in throwaway microVMs. It proves what changed, contains every run, and records what the run proved. Measured: 4.2x cheaper and 3.3x faster than the baseline.
Kalari
An AI front desk for small businesses. No waiting on hold, voicemail or callbacks: customers get an answer on the page right away, any hour. It offers open times, books the visit in the app and brings in a person when needed. Runs on Vultr.
First answer
Web agent that generates Python via Vultr Serverless Inference and runs it in a disposable Docker sandbox (--network none, memory/CPU caps, --rm) on a Vultr VM.
kbirdg-sandbox
A working commerce QA prototype on Vultr that authorizes browser actions, executes under gVisor, and independently checks outcomes with retained evidence.
JARVIS ProofOps
An AI agent that writes code, runs it in a locked-down Docker sandbox on a Vultr VM, verifies the result and returns a tamper-evident evidence record. Network calls and runaway loops are contained. Live: http://64.177.13.126/
SandboxOps
samman budhathoki
Alishba Andleeb
Python developer
Coder Ornin
mmby85401
Muhammad Yahya
Machine learning Engineer
Palash Trivedi
Data science consultant