Create an API key
Open API settings to create a key and manage API balance. Store the plaintext value in your secret manager immediately.
Persistent, purpose-built AI workflows
Vidbyte Harnesses
Vidbyte harnesses turn an outcome that matters into a durable workflow with its own context policy, tools, budget controls, and product-visible results. They are built for work that should survive a single chat response.
Purpose-built
One job
Each harness has a clear operating model instead of a generic prompt-and-forget experience.
Durable
Work that stays
Useful outputs become product state you can revisit, extend, and inspect.
Controlled
Bounded spend
Long-running work can be authorized, monitored, paused, and resumed deliberately.
Introduction
A harness is more than a model call
A Vidbyte harness pairs an AI workflow with the context, tools, policies, persistence, and product presentation that make the work dependable. The model is one component; the harness determines what it can access, how it saves progress, and what a user can do with the result later.
Use a harness when you need a repeatable outcome that should be reviewable after the initial answer: an evidence collection, a durable project, or another workflow where the result becomes part of the product rather than disappearing into chat history.
Getting started
Set up a harness
Start with an API key, then give your coding agent the context it needs to help you configure a harness. Create and store the key in API settings; never paste the secret into a chat or agent prompt.
The CLI is the terminal surface for authentication, environment checks, and harness commands. Its current repository is a Python scaffold: the setup commands are documented, while unfinished network commands may still report that they are not implemented.
Agent setup prompts
Choose a harness, preview the handoff, then copy the complete prompt.
Preview
Copy this agent prompt into Codex to set up the Vidbyte Research Harness.1. Install the CLI
Install the Python CLI from the published package.
python -m pip install vidbyte-cli2. Set up your account
Authenticate, then run the local setup diagnostic before starting a harness request.
vidbyte-cli login
vidbyte-cli doctor3. Run your first harness request
Start with the Research Harness and replace the task with the outcome you need.
vidbyte-cli harness run research --task "Build a source-grounded research portfolio"