matrx-assignment

Typed, payload-agnostic assignment planning and durable coordination.

The library turns a strict plan into immutable work items, then drives those items through an injected store and executor. Hosts can begin with coordinated rows (for example, 50 paired topic + research inputs) and later add policies without changing the agent or workflow execution systems.

Supported plans:

  • coordinated_rows: preserve paired values and run every row once.
  • independent_random: choose every variable independently with unbiased system randomness, optionally without repeating a full combination.
  • cartesian: enumerate combinations, optionally in unbiased random order.

Random plans are materialized once and persisted by the host. Recovery therefore resumes the same items instead of producing a new draw.

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PyPI data
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Avatar for armanisadeghi from gravatar.com armanisadeghi

Requires

Python >=3.13

Provides Extra

dev

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