---
title: "v1.0.2 Release Notes"
description: "Bug-fix patch covering AI model history, model upload validation, and UI polish"
source_url: https://ai-ops.com/docs/release-notes/v1-0-2
---

# Koios v1.0.2

Patch release fixing model-history gaps for in-memory inputs, hardening model upload validation, and tightening up a handful of UI rough edges.

> [!TIP] Drop-in upgrade
> v1.0.2 is fully compatible with v1.0.0 and v1.0.1 — no service file changes, no migrations beyond the standard startup checks.  Just pull the new image and restart.  See [Updating Koios](https://ai-ops.com/docs/updates/general.md).

---

## Fixed

### Model-history gaps for in-memory inputs

AI models with inputs sourced from in-memory tags (e.g. component outputs, expression results) were not writing entries to the per-model history bucket.  Long-term history was unaffected — the gap only existed in the model-bucket history that powers per-model prediction views.

The expression evaluator now writes per-model `ai_history` entries for in-memory tag inputs the same way it always did for device-sourced inputs.  A periodic safety net also catches any AI-binding-changed events that the pub/sub channel missed (e.g. during evaluator restart), so configuration changes always settle within one refresh cycle.

### Predict engine bucket creation no longer fails after a restore

After restoring a backup, the predict engine could fail to start models whose InfluxDB buckets already existed, logging `bucket with name model_<id>_predictions already exists` and refusing to run.  Bucket creation is now idempotent — if the bucket is already present, the predict engine adopts it instead of erroring.

### Model upload rejects incompatible ONNX files at upload time

ONNX files whose IR version exceeds what the platform's ONNX runtime can load (e.g. files produced by `onnx>=1.21` defaulting to IR 13 when the runtime caps at IR 11) are now rejected at the upload step with a clear message.  Previously these files uploaded successfully but failed later in the predict engine with `Failed to load interpreter`.

### UI polish

- **Component library tray** — long component names no longer cause horizontal overflow in the canvas side drawer.
- **Binding rows** — bindings sourced from in-memory tags now correctly display "In Memory" instead of being mislabeled as "Expression".
- **Bulk export** — exporting all tags from the tag table no longer fails when no filters are applied.

---

## Changed

### Model upload now uses the official `koios-model-utils` parser

The webapp's ONNX metadata extraction now consumes the canonical `koios-model-utils` library (the same library data scientists use to embed metadata into their models) instead of a hand-rolled parser.  This eliminates a class of subtle wire-format drift bugs and lets the library's strict validators catch malformed metadata at upload instead of letting it produce blank rows or silent misconfiguration later.

No user-facing behavior change for correctly-formed models.

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## Service manifest

| Service | Change |
|---|---|
| Webapp | Model-utils consumer, idempotent bucket setup, upload-time runtime gate |
| UI | Library overflow, IN_MEMORY binding label, bulk export fix |
| Expression evaluator | In-memory model-history writes + periodic binding refresh |
| Component builder | Relicense to Apache 2.0 (no behavior change) |
| _All others_ | Unchanged from v1.0.1 |