What files and environment state could a generated correction release include?
A generated release can combine typed record tables, task messages and resettable environment snapshots so developers can reproduce agent runs consistently.
A release could use Parquet for typed tables such as `entries`, `accounts`, `adjustments` and `approval_events`, with JSONL for task requests and message sequences. A schema manifest can define required fields, nullability, decimal precision, currency codes and foreign key relationships. Stable identifiers should connect records across formats.
The environment snapshot can additionally contain role permissions, open work queues, tool-visible documents and pending system events. A `snapshot_id` and a generation seed can identify the starting state. Resetting a run should restore both records and pending events; restoring only balances can leave the next run affected by notifications or jobs from the previous attempt.
MirrorFirm could package tool contracts alongside these assets. Each contract can specify inputs, outputs and documented error responses. A task manifest can link `task_id` to its initial snapshot and evaluator configuration without exposing expected outcomes to the agent.
Buyers should ask for a loading check that validates references and rejects incompatible schema versions before execution. This catches packaging faults separately from agent failures. The package specification should also state whether replay promises identical tool observations or merely the same starting business state, since those are different integration requirements.
Define a portable package that keeps business records, execution state and evaluator information aligned.
- Audience:
- Agent developers
- Content type:
- Integration
- Buyer question:
- What can be generated
Content release: r-a220eb6e099b243b
Related questions
- Which linked records could a generated correction dataset contain?
- Can generated tasks include policies that changed between the original entry and its correction?
- What evidence conditions should a generated correction pack vary?
- How could a generated task represent a correction that must be split across destinations?
- Which schemas and tool contracts can represent a generated financial adjustment?
- What generated evidence can support an adjustment decision?