OpenAI eve
eve is a filesystem-first framework for durable backend AI agents. An agent is a directory on disk — instructions, skills, tools, connections, channels, subagents, and schedules are all files — and eve compiles and runs it.
Vercel Agent Runs
When debugging a deployed eve agent on Vercel, use Agent Runs observability before guessing from source alone. Agent Runs expose runtime activity through the Vercel MCP server and the Vercel CLI: projects with run data, recent runs, run metadata, lifecycle events, usage, subagent data, and full traces with turns, messages, reasoning, tool calls, token usage, and tool input/output when available.
To inspect runs through Vercel MCP, list the available Vercel MCP tools and use the Agent Runs tools exposed by the server. Tool names and schemas can change, so inspect the tool list/schema before hard-coding a name from memory.
For CLI usage, ask the installed CLI for the current Agent Runs surface:
vercel agent-runs --help
vercel agent-runs <subcommand> --help
Use --json when the subcommand help exposes it and machine-readable output is
needed.
If vercel agent-runs is missing, check vercel --version and upgrade first:
npm i -g vercel@latest
vercel agent-runs --help
Source of truth
The complete documentation ships inside the eve package. Do not rely on this
skill for guidance — always read the bundled docs, which match the installed
version exactly:
node_modules/eve/docs/
Start with node_modules/eve/docs/README.md. It contains the full
index and recommended reading order. Before writing any eve code, read the
relevant guide there first.
If eve is not installed yet, install it (npm install eve) or scaffold a new
agent with npx eve init <agent-name>, then read the bundled docs.