Knowledge BaseModular ComponentsAI Simulate (Experimental)

AI Simulate (Experimental)

Backend-neutral simulation and configuration-search tools

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Experimental. AI Simulate is intended for evaluation and feedback, not production capacity planning. Its Python APIs, configuration schemas, search results, and deployment output may change without a standard deprecation period.

AI Simulate is a standalone Python distribution. It provides inference-engine forward-pass simulation, deployment simulation, and search without depending on ai-dynamo.

Sweeper

Sweeper searches backend deployment settings against an injected replay runner. Its core owns backend search, candidate orchestration, scoring, and the versioned ReplaySpec contract.

Optional adapters extend the search without adding a Dynamo dependency to AI Simulate. The ai-dynamo wheel registers the dynamo.planner and dynamo.router adapters. Selecting either adapter imports its Dynamo implementation and adds a versioned runtime hook to the replay specification.

KVBM search settings are deprecated and have no adapter migration. Native G2 replaces that path.

Install

The dynamo-planner image builds and installs AI Simulate and Dynamo from the same source revision. The AI Simulate wheel remains inside the image and is not published as a standalone release artifact.

For source development, install AI Simulate, Dynamo, and the Planner dependencies from the repository root:

$uv pip install -e ./aisimulate
$uv pip install --no-deps -e .
$uv pip install -r container/deps/requirements.planner.txt