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The vocabulary of agent execution infrastructure

The category invented a lot of words quickly, and vendors use several of them to mean different things. These are the definitions Promigence uses.

Environment runtime

also called agent environment runtime, execution plane

An environment runtime is infrastructure that builds, verifies, reproduces and forks the environment an AI agent runs inside, treating the environment itself as the product.
Verified environment
A verified environment is one that ran its own declared test command at build time, so it is known to work before an agent is placed inside it.
Episode
An episode is one environment's complete life, fork, execute, terminate, and it is the unit a quote and a spend cap are written against.
Snapshot fork

also called warm fork

A snapshot fork creates a new environment from an already-warm one that has finished installing and building, so it costs milliseconds rather than seconds.
Warm start
A warm start begins work in an environment where dependencies are installed and caches are populated, so the first command you run is the one you care about.
Validity report

also called environment validity

A validity report states, for one run, how many environments were verified, which failed, and whether each failure belonged to the environment or the task.
Poisoned reward
A poisoned reward is a training signal produced by a broken environment rather than by the agent's behaviour, so the model learns from an outcome that never happened.
Burst capacity
Burst capacity is how many environments a provider actually delivers when many are requested at once, which is often very different from its advertised latency for one.
Flight recorder
A flight recorder is a per-episode log of every command executed and every file diff produced, kept so a failed episode can be read rather than guessed at.

Run your own workload on it, free

Send a repo and the command you run against it, whatever that is: an eval suite, an RL rollout, a CI job, a queue of coding tasks. We build the environment once, run it a thousand times, and send back the timings, the failures and an exact price. Free, once, on your real workload.

  • 1,000 runs of your own command, on your own repo
  • What each one cost in wall clock, and anything that failed
  • Whether a failure was your code or the environment
  • An exact price for your real volume

A person replies, usually the same day. Or write to support@promigence.ai.

Not ready to hand over a repo? Read the quickstart or check the numbers first.

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