v1.0.3 — refresh uv.lock, and say exactly what that was tested against

The lock had drifted from pyproject, so every `uv run` re-resolved first (~2.5 min a call). Refreshed: 296 -> 306 packages, 23 changed — starlette 0.52.1 -> 1.6.0 (major), huggingface-hub 1.14.0 -> 1.31.0, gradio 6.27.0 new via all->ui, and three moving BACKWARDS (pydantic 2.13.3 -> 2.12.5, pydantic-core, inspect-ai) by resolver choice rather than any declared constraint.

Tested in a separate environment against both stacks: 765 pass on each; the coach booted under real uvicorn and 37 read-only probes returned identical status codes and identical response sizes — pages, JSON API, static mount, OpenAPI (64 paths), diagnostics, the traversal guard at 400, and SSE. Zero server errors either side.

Not tested, and written into the changelog rather than implied: every write endpoint, SSE under a real producer, the training path (no ml extra on that box), the Gradio UI. `uv run` syncs the environment, so moving a node to this commit rewrites its venv on the next call — the production node is deliberately not moved while gen 78 trains.

docs/CHANGELOG.md

@@ -6,6 +6,58 @@ project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
 ## [Unreleased]
 
+## [1.0.3] — 2026-09-15
+
+### Changed
+
+- **`uv.lock` refreshed against the current `pyproject.toml`.** The lock had drifted, so every
+  `uv run` on a node re-resolved before doing anything — about 2.5 minutes per invocation,
+  paid by each bridge probe. 296 → 306 packages; 23 changed. The notable moves are
+  **starlette 0.52.1 → 1.6.0** (a major version, under FastAPI 0.136.1, which accepts it),
+  **huggingface-hub 1.14.0 → 1.31.0**, and **gradio 6.27.0** entering the lock for the first
+  time because `all` now includes the `ui` extra.
+- Three packages move **backwards** — **pydantic 2.13.3 → 2.12.5**, pydantic-core 2.46.3 →
+  2.41.5, inspect-ai 0.3.219 → 0.3.145. Nothing in the project requires the older versions;
+  only `pydantic>=2.9` is declared, so these are the resolver's choice of a consistent set,
+  not a constraint. They are called out because a downgrade arriving inside a routine refresh
+  is worth seeing rather than discovering later.
+
+### Notes — what was tested, and what was not
+
+The refreshed lock was installed into a **separate environment**, leaving the working one
+intact, and the same probes were run against both stacks so the comparison is like-for-like.
+
+**Tested, identical on both stacks:** the full suite (**765 passed, 2 skipped**); the coach
+booted under real uvicorn exactly as production runs it (`mindxtrain.operator.app:app`), and
+**37 read-only probes returned identical status codes and identical response sizes** — every
+page, the JSON API, the static mount, the OpenAPI schema (64 paths), the diagnostics surface,
+the path-traversal guard still answering 400, and **SSE** (`text/event-stream`, bytes flowing,
+and the 404 path returning without hanging). **Zero server errors** in either run.
+
+**Not tested — do not read this release as clearing them:**
+
+- **Every write endpoint.** Nothing that launches a run, builds or creates a Modelfile,
+  starts or stops Ollama, convenes the boardroom, settles the dojo, promotes an MEI score, or
+  pushes to GitHub / a droplet was exercised; they need a model, a daemon, or they do real
+  work. `/v1/chat/completions` and `/v1/agentic` are likewise untested.
+- **SSE under a real producer.** The stream was checked for content type and first bytes on an
+  empty run, not for a long live stream with a training job writing into it.
+- **The training path.** The `ml` extra (torch, transformers) is not installed on the machine
+  this was verified on, so `train` / `imprint` / `serve` were not run against the new lock —
+  and huggingface-hub, which moved two minor versions, sits under transformers' download path.
+- **The Gradio UI.** gradio 6.27.0 enters the lock here for the first time; `mindxtrain ui`
+  was not started.
+
+**One new warning, test-only.** starlette 1.6 deprecates using `httpx` with its `TestClient`
+and asks for `httpx2`; the suite emits it three times and passes regardless. Nothing in the
+serving path is affected — production does not import `TestClient` — but the test dependency
+will need moving before a starlette release removes the shim.
+
+**Operational caveat.** `uv run` syncs the project environment, so moving a node's checkout to
+this commit means the next invocation rewrites that node's venv — a starlette major bump, a
+huggingface-hub bump and a pydantic downgrade — **underneath whatever is running there**. On a
+node with a training run in flight, take it in a maintenance window, not by surprise.
+
 ## [1.0.2] — 2026-09-15
 
 ### Added

docs/NAV.md

@@ -164,8 +164,9 @@ Target metrics + framework comparison.
 - [What's not measured (yet)](benchmarks.md#whats-not-measured-yet)
 
 ### [CHANGELOG](CHANGELOG.md)
-Version history (current: v1.0.2).
+Version history (current: v1.0.3).
 - [[Unreleased]](CHANGELOG.md#unreleased)
+- [[1.0.3] — 2026-09-15](CHANGELOG.md#103--2026-09-15)
 - [[1.0.2] — 2026-09-15](CHANGELOG.md#102--2026-09-15)
 - [[1.0.1] — 2026-09-15](CHANGELOG.md#101--2026-09-15)
 - [[1.0.0] — 2026-06-11](CHANGELOG.md#100--2026-06-11)

mindxtrain/__init__.py

@@ -16,4 +16,4 @@ Layout per mindXtrain2.md §Part 4 "Repository layout":
     budget/      psutil-derived ResourceBudget (carry-over from aGLM)
 """
 
-__version__ = "1.0.2"
+__version__ = "1.0.3"

mindxtrain/ui/app.py

@@ -36,7 +36,7 @@ import gradio as gr
 from .metrics import RunMetrics, parse_log  # noqa: F401  (parse_log re-exported for tests)
 from .theme import CSS, theme
 
-VERSION = "1.0.2"
+VERSION = "1.0.3"
 HOME = Path(os.environ.get("MINDXTRAIN_HOME") or Path(__file__).resolve().parents[2])
 RECIPES = HOME / "mindxtrain" / "train" / "recipes"
 TIERS = ["Basic", "Advanced", "Scientific"]

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "mindxtrain"
-version = "1.0.2"
+version = "1.0.3"
 description = "Production training framework for fine-tuning open-weight LLMs on AMD MI300X and serving them through an OpenAI-compatible API."
 requires-python = ">=3.12,<3.13"
 license = { text = "Apache-2.0" }

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