Prerequisites
- Docker, to build and run agent images
- Rust, to install the CLI
- A Nasiko cluster with a model provider key configured — run one locally with Deploy the stack, or use your organization’s
- An account with deploy permission — see access control
Build and deploy
1
Install the CLI and sign in
~/.nasiko/config.json. More options, including nasiko up: Install and connect.2
Scaffold an agent
AgentCard.json (the agent’s identity and skills), a Dockerfile, and starter source in src/. Run nasiko new with no arguments to pick a framework interactively. See Scaffold an agent.3
Run it locally
localhost:8000. When a cluster is connected, the local container gets the same model settings the cluster injects at deploy time, so you don’t need to copy an API key into the project. A project .env file, if present, is loaded too.In a second terminal:4
Deploy it
-y to accept the suggested one) and writes .nasiko/agent.json, which binds this directory to the deployed agent.No local Docker? Run nasiko upload . and the cluster builds the image for you. See Deploy an agent.5
Chat with the deployed agent
nasiko chat "...") to let the orchestrator pick from every agent you can access.6
See it in the dashboard
Sign in at your cluster URL. Your agent is already:
- listed under Your agents, with status and owner — see Agents
- recording every conversation in Sessions — see Sessions and traces
- reporting spend by model in TokenOps — see the TokenOps dashboard
How the agent reaches a model
At deploy time, Nasiko points the agent’s model SDK at the cluster’s LLM router and gives it a short-lived identity credential instead of a real provider key. The router selects the provider and key server-side, so no agent and no log ever holds the real key. To route this agent to a different model or provider, attach an LLM config:Next steps
Versions and rollback
Ship a new version, or roll back to an earlier one.
Set access policy
Control who can use and manage this agent.
Connect tools over MCP
Give the agent permission-filtered tools.
Compose agents
Chain agents into a multi-agent workflow.
