v2.0.1 - #301
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* feat(agent): vendored OpenCode binary + auto-install/init and container-tunnel support --------------- - opencode_binary.py: Node-free on-demand provisioning of the OpenCode standalone binary (npm-registry tarball via stdlib), managed per-user cache - resolver prefers managed binary; background auto-install on import/start - `weightslab agent init` CLI; agent-config gating with an info hint (no implicit sign-in) - configurable OpenCode bind host + UI trusted-hosts allowlist so the agent works through a container's published port / SSH tunnel - unit tests + CI agent-smoke job Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs(agent): Getting Started via `weightslab agent init` + OpenCode env var reference - agent_quickstart: lead with `weightslab agent init` (provisions the Node-free OpenCode binary, then signs in); document --provision-only and the "agent not initialized" info behavior so a new user knows exactly what to do. - configuration: document the OpenCode provisioning/bind env vars — WEIGHTSLAB_OPENCODE_HOST, WEIGHTSLAB_UI_TRUSTED_HOSTS, WEIGHTSLAB_OPENCODE_AUTOINSTALL/AUTODOWNLOAD/VERSION/HOME — incl. the container-behind-a-tunnel setup.
* fix(v2.1): video-gen report media + server-authoritative subview flag - reporting: add a "Generated Media" section (poster thumbnails per media field) so video/image-generation runs show their artifacts instead of an empty report; guard media columns in the Distributions path (no longer mislabelled "no numeric values"); surface a swallowed get_combined_df error as a warning so a broken dataframe isn't silently hidden. - data_service/proto: DataSamplesResponse gains is_subview/view_count/ total_count, stamped from the backend's _is_filtered state on every GetDataSamples, so a fresh client can render the subview warning ribbon with no cached UI state. Regenerated pb2 with grpcio-tools 1.68 (gencode 5.28.1). - tests: report media/distribution-guard coverage. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(v2.1): backend min/max curve decimation so spikes survive 10k->1k get_signal_history_downsampled emitted the earliest-step point per bucket, so a spike between bucket edges (unless separately flagged as marker/note/outlier) was dropped server-side before the browser ever saw it. Now it emits each bucket's min-value AND max-value rows (min/max decimation); the bucket count is halved so the total stays ~max_points. 10k points -> ~1k, with spikes. + test: a non-flagged mid-bucket value spike survives, output stays ~max_points. * Check OS and adapt cmd
test_logger_scale.py deliberately builds multi-million-row DuckDB fixtures to stress-test large-scale queries -- real, by-design heavy work that easily exceeds the per-test timeout on a shared runner. Its own marker registration already said "deselect with -m 'not scale'" but the CI job never actually did, so each run burned its 600s per-test timeout on these instead of skipping them, reading as a hang stuck at the same progress percentage across unrelated pushes.
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Small fixes: