git:20260602.7707117 to git:20260926.4e60907

6 added, 8 removed. Audit B to A.

# UAT Testing

UAT stories always use testcontainers — a fresh HA Docker container is spun up per agent run. Never use `--ha-url` pointing at a production HA instance.

When testcontainers fails with an image error, diagnose Docker first (`docker images`, `docker info`) before suggesting alternatives. The HA test image is cached locally; a "No such image" error in WSL2 is usually a Docker context mismatch, not a missing image.

## Running stories

- Stories live in `tests/uat/stories/catalog/` (s01–s14 yaml files). Run from the repo root.

+ Stories live in `tests/uat/stories/catalog/`. `--all` runs only the `s*.yaml` stories; run the `c*` and `t*` stories by path. Run from the repo root.

```bash

# Single story (path must be relative to repo root)

- UV_CACHE_DIR=/tmp/claude-1000/uv-cache TMPDIR=/tmp/claude-1000 \

- uv run python tests/uat/stories/run_story.py \

+ uv run python tests/uat/stories/run_story.py \

tests/uat/stories/catalog/s01_automation_sunset_lights.yaml \

- --agents openai --base-url http://172.19.0.1:1234/v1 --model <model-id>

+ --agents openai --base-url "<openai-compatible-base-url>" --model "<model-id>"

- # All stories, local model (LM Studio)

- UV_CACHE_DIR=/tmp/claude-1000/uv-cache TMPDIR=/tmp/claude-1000 \

- uv run python tests/uat/stories/run_story.py --all --agents openai \

- --base-url http://172.19.0.1:1234/v1 --model <model-id> --no-think

+ # All stories, local OpenAI-compatible model

+ uv run python tests/uat/stories/run_story.py --all --agents openai \

+ --base-url "<openai-compatible-base-url>" --model "<model-id>" --no-think

# With a feature flag

... --mcp-env ENABLE_LITE_DOCSTRINGS=true

```

Key flags:

- `--mcp-env KEY=VALUE` — pass env vars to the MCP server (repeatable)

- `--no-think` disables reasoning: prepends /no_think (original Qwen3) and sends the enable_thinking=false chat-template kwarg (Qwen3.5/3.6)

- `--results-file` — JSONL file to append results to (default: `local/uat-results.jsonl`)