Logbook of code changes

git · September 1, 2026, 11:06am

git · September 1, 2026, 11:10am

feat(codec): add reshape transforms for nested documents (#309)

committed 11:10AM - 01 Sep 26 UTC

Add `--reshape <engine>:<spec>`, restructuring each source document before it is… loaded: flatten nested objects into columns, coerce types, and leave arrays as real lists so dlt's normalizer builds child tables from them. Why: a deeply nested source collection does not map onto a table without help, and doing that work row-at-a-time in Python is the slow part. Giving the same target three engines makes the cost of each measurable against a single canonical result rather than against prose. How: - codec/reshape.py: `python` (add_map), `jq` (Tikray) and `polars` (macropipe over Arrow batches) engines behind `create_reshape_mapper`, which reports whether the mapper is per-row or per-batch. - api.py: build the mapper before the source, so a batch engine can ask for `data_item_format="arrow"`, and wire it into the per-resource chain. Skip TypeHintMap while a reshape is active, so top-level arrays normalize into child tables instead of JSON columns. - dlt_filesystem: classify `data_item_format` as a run option, so it is subtracted from connector kwargs rather than reaching an fsspec constructor. - pyproject.toml: `jq` and `polars` sit behind a new `reshape` extra. - tests: the nested fixture and its canonical target, four lanes over duckdb and postgres (the three engines plus a server-side Mongo aggregation), and a comparator that drops dlt metadata and normalizes numerics, because only the pure-Python lane preserves `Decimal`.

git · September 1, 2026, 11:35am

git · September 1, 2026, 11:36am

git · September 1, 2026, 7:16pm

github.com/earthobservations/wetterdienst

fix(tests): stop the radar PE timerange test failing on the first of a month (#1887)

committed 07:16PM - 01 Sep 26 UTC

gutzbenj

+3 -1

`test_radar_request_site_historic_pe_timerange` requests "yesterday at this time…" and then asserts the BINARY payload's header carries the month-year taken from `now`. On the first of a month those are different months, so the header built for the assertion can never match the data the test itself asked for, and every run fails until the second of the month -- as happened on 2026-09-01, where the payload read `PE311829101320826` against an expected `PE......101320926`. The month-year now comes from `request.start_date`, which is the date of the data, as the two sibling assertions in this file already do. `test_api_latest.py` has the same `now`-derived header for the *latest* product, where the two agree except in the first minutes of a month; left alone. Claude-Session: https://claude.ai/code/session_01Vb79GWaKFu2ACYFdwHJD6W Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

git · September 1, 2026, 8:18pm

github.com/earthobservations/wetterdienst

feat(dwd): add the POI current weather reports network (#1886)

committed 08:18PM - 01 Sep 26 UTC

gutzbenj

+1110 -35

* feat(dwd): add the POI current weather reports network POI ("Point Of Interes…t") is DWD's observed counterpart to MOSMIX: for every station it forecasts for, it publishes the hourly weather reports of roughly the last day as one `<station_id>-BEOB.csv` under `weather_reports/poi/`. 39 parameters at `hourly` resolution and the `now` period. The two networks share the MOSMIX station catalogue -- all 974 POI file ids resolve to catalogue ids once DWD's underscore padding is stripped (`A191` is `A191_-BEOB.csv`) -- so a station keeps one id across both and a forecast can be compared against what was measured. The catalogue reader moved to `provider/dwd/catalogue.py` and `dwd/mosmix` now shares it. Two of the file's 41 columns are left unmapped, the 24-hour global and direct radiation. Both are declared W/m2, which a 24-hour figure cannot be. The hourly columns beside them are W/m2 -- summing a day of them as energy reproduces DWD's own measurement for the same station and day (Konstanz, 2026-08-31: 20.34 MJ/m2 from POI against 2033.7 J/cm2 in `10_minutes/solar`) -- and against that total the 24-hour column is proportional with a factor of 1.573 over 29 stations, at a spread integer rounding alone accounts for. So it is a real daily total in a unit of ~0.636 MJ/m2 per count, matching nothing the converter knows; declaring one would put a wrong unit on a right number. `past_weather_1`/`past_weather_2` are the BUFR 0 20 004/005 codes and are only reported at the three-hourly synoptic hours, which is the period the new `weather_last_3h` / `weather_secondary_last_3h` names state. `present_weather` is DWD's own documented 1..31 table, not WMO 4677. 12 new canonical parameters, with labels in all eleven app locales. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Vb79GWaKFu2ACYFdwHJD6W * fix(dwd/poi): act on the review of the POI network - `_read_poi_csv` lets polars decode latin-1 instead of routing the bytes through `str` and back, which was a copy for nothing. `pl.read_csv(..., encoding="latin-1")` is what imgw already uses, and it parses a live station file to a frame identical to the one the round trip produced - drop `_MISSING_VALUE`, which nothing read: `---` is turned into a null by the non-strict cast rather than by a comparison against the constant - say what `read_mosmix_station_catalogue` actually does on a fetch failure. It raises, except for `NoInternetError`, where `raise_if_exception` returns silently and the empty frame is what a caller offline gets Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Vb79GWaKFu2ACYFdwHJD6W --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

git · September 1, 2026, 9:25pm

git · September 2, 2026, 3:28pm

github.com/earthobservations/wetterdienst

fix(model): say what did not match instead of dropping the parameter (#1888)

committed 03:28PM - 02 Sep 26 UTC

gutzbenj

+338 -129

* fix(model): say what did not match instead of dropping the parameter A parame…ter the provider does not have was logged as one `info` line saying only that it was not found, and left out of the request. A half-resolved request then returned less data than was asked for with nothing visible to say why. Every failed lookup now names the part that missed -- resolution, dataset or parameter -- with the closest name as a "did you mean" and the names that would have matched, warns rather than informs, and `NoParametersFoundError` names the request and the provider. The REST/CLI/MCP path raises it where the parameters as the caller wrote them are still in hand, rather than leaving it to the request, which only sees the empty list they resolved to. The lookup that builds those messages is now one helper pair behind all six `__getitem__`/`__getattr__` methods and `search_parameter`, which drops six copies of the same message building and settles two disagreements between them: the source's own name is matched case-insensitively everywhere, as a request string already did, and a quality flag requested by name says that quality flags come back in the `quality` column next to their parameter instead of being dropped as if it did not exist -- which is what a `ParameterModel` taken straight from the metadata model used to do. Alongside: parameters requested twice, as a dataset and as one of its parameters, are returned once rather than queried and returned per mention; an iterator of parameters no longer parses as empty, having been consumed by the checks that tell `("daily", "kl")` apart from `["daily/kl", "daily/solar"]`; the parts of a parameter must be strings, so `(Resolution.DAILY, "kl")` is a TypeError naming the accepted forms rather than an AttributeError from inside the parser; and a malformed entry such as a trailing separator is skipped with a warning like an unknown name, so one bad entry does not take the parameters listed next to it down with it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Vb79GWaKFu2ACYFdwHJD6W * fix(model): name the request, not its metadata, when nothing resolves Both NoParametersFoundError messages named the metadata model, while the changelog and PR said the error names the request. Name the concrete request class instead, which carries the provider and network the parameters were looked for in and is the object the caller actually holds. Pin both messages with tests: a match= on the existing request-level test, and a non-remote REST test that also covers the ui/core branch raising it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV * fix(model): keep the requested parameters when they arrive as an iterator parse_parameters consumes an iterator, so the NoParametersFoundError message rendered the exhausted object -- "from <list_iterator object at 0x10b9373d0>" -- rather than the values that failed to resolve. Iterator support is new in this branch, so the message never survived it. Materialize before parsing. Caught by Copilot on the previous commit. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

git · September 2, 2026, 8:06pm

github.com/earthobservations/wetterdienst

fix(model): reject misspelled metadata keys and report the real validation error (#1889)

committed 08:06PM - 02 Sep 26 UTC

gutzbenj

+160 -13

* fix(model): reject misspelled metadata keys and report the real validation err…or Three sharp edges in the metadata models, none of which a provider declaration could see going wrong. `validate_datasets` read the two fields it cascades down to the datasets by index. A field that fails its own validation is not in `validation_info.data` at all, so an unknown period surfaced as `KeyError('periods')` instead of pydantic's report of the value that is actually wrong. Read with `get`. Only `ParameterModel` forbade extra keys. Everywhere else a typo -- a dataset's `date_requiered`, a resolution's `grupped` -- was dropped without a word and the declaration then fell back to a default, which for `date_required` means quietly inheriting the resolution's. `extra="forbid"` on the other three models; all 33 provider declarations pass unchanged. The name a metadata object is built with was stashed as `validated.__name__`, which only works because pydantic routes dunder names past its field machinery, and needed a `ty` ignore to say so. It is a declared field now, excluded from the dump and out of the repr, injected by `build_metadata_model` alongside the descriptions. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV * fix(model): report only the metadata error that is real, and guard the injected name Follow-up to the review of this branch. Skipping the cascade when `periods` or `date_required` fails left every dataset that relies on inheriting it reporting `Field required` -- 110 of them for one mistyped period in a `DwdPhenologyMetadata` resolution, burying the one error that is real. Those datasets are now left out of the validation instead; a dataset declaring the field itself is still validated and still reports anything else wrong with it. `build_metadata_model` injects `name` after spreading the declaration, so a top-level `name` in a declaration was silently overwritten -- the one key `extra="forbid"` cannot catch, and a plausible one to write next to `name_short`, `name_english` and `name_local`. It is rejected now. Changelog: note that `MetadataModel.__name__` is `MetadataModel.name`. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

git · September 3, 2026, 6:35am

github.com/earthobservations/wetterdienst

fix(model): correct the ranked station walk, its geo callers and dataset grouping (#1890)

committed 06:34AM - 03 Sep 26 UTC

gutzbenj

+419 -43

`query` checked a station's frame for emptiness before cutting it to the request…ed window and never after, so a station whose record lies entirely outside the window counted as collected and spent one of `filter_by_rank`'s slots on an empty frame. The ranked walk stopped short of the stations that do cover the window and the request came back with nothing, which reads exactly like no data existing. `core/interpolate.py` and `core/summarize.py` paired the distance-sorted stations frame against `query()` by position. That frame carries a row per station and dataset while the generator yields one result per station and passes over those that returned nothing, so any gap read one station's values together with another station's coordinates and distance. Both look the station up by id now. `itertools.groupby` only groups consecutive items, but `parse_parameters` keeps the caller's order, so a dataset interleaved with another formed one group per run: fetched and parsed once per run in the values path, and one duplicate station row per run in the `_all` of NOAA GHCN, Geosphere and MeteoSwiss. They share `group_parameters_by_dataset` now. A request that collected nothing returned a frame with no columns at all, which wrote an empty file where a header was meant and raised `ColumnNotFoundError` from `get_column`. It now carries the columns a populated frame would have had, in whichever shape was asked for, and is logged as the ordinary outcome it is rather than with an exception traceback. Skipping a station that returned nothing inside the window also removed the only bound on the ranked walk, so a window no station covers read every station in the provider. A station the index says began after the window ended is skipped without being downloaded; only that direction is read, since an `end_date` lags on a station that is still reporting. Six offline tests cover the above, each checked against the code it describes.

git · September 3, 2026, 12:13pm

git · September 3, 2026, 6:32pm

git · September 3, 2026, 7:18pm

github.com/earthobservations/wetterdienst

feat(model)!: resolve periods against the metadata on every request (#1891)

committed 07:18PM - 03 Sep 26 UTC

gutzbenj

+377 -119

* feat(model)!: resolve periods against the metadata on every request `periods`… was a field of the three request classes that hand-rolled it, so providers that never opted in dropped the argument -- silently through the CLI and REST API, as a TypeError from Python. What each of the three then did with it was its own copy of the same parse-and-intersect, whose empty result read as "no periods requested" and fell back to every period there is, so asking for a period a dataset is not published under returned more data than asking for one it is. Periods are a required field of every dataset in the metadata, so the concept is universal and only the choice is sometimes trivial. `periods` moves to `TimeseriesRequest` and is resolved against what the requested datasets publish; deriving them from the requested interval stays a provider hook, `_get_periods`, which DWD observation and phenology override. BREAKING CHANGE: a period none of the requested datasets publishes raises `NoPeriodsFoundError` instead of being dropped and replaced by all of them, the default is the requested datasets' periods rather than the provider's, and `periods` precedes the subclass fields of DWD MOSMIX/DMO positionally. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV * fix(model): check derived periods, and say when periods do not narrow Three findings from review of the previous commit. The periods derived from `start_date`/`end_date` were returned without the check the requested ones pass, so a request could land on a period its datasets do not publish: an interval reaching into today derives `now`, which `daily/kl` has no release for, and the request then read no station index at all and reported no stations -- while `periods="now"` raises for the same datasets. Where the interval reaches past the newest release a dataset has, that release is what can answer for it. Four providers -- SMHI, MeteoSwiss, met.no Frost and Meteo-France observation -- declare datasets with more than one period but fetch all of them by design. Accepting a narrowed request from them in silence answers it with everything, so they say so instead. `_selects_by_period` is a diagnostic, not a gate: a provider that leaves it False still validates periods, and getting it wrong costs a spurious warning rather than a dropped argument. The MCP instructions and the REST `values` docstring both advised `periods` as "usually recent" for every provider, which is now a 400 for the ones publishing under a single period. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV * fix(model): leave an interval that reaches no release empty CI caught two things about the derived-period check. An interval that overlaps no release at all -- a window in the future -- derives an empty set, which the fallback then widened to the dataset's newest release, so a request 720 days ahead would have downloaded `recent` to find nothing. There is nothing to read and nothing to fall back to, so it stays empty. The five tests of the interval-to-release mapping asked `daily/climate_summary` for periods including `now`, which it has no release for -- the assertion only says something when the dataset publishes the release the interval reaches, so they use `10_minutes/temperature_air` now. What `climate_summary` does with such an interval is its own test. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV * fix(dwd): settle a derived station on its newest description The derived station index iterated the period set with `reversed(list(...))` before deduplicating with `keep="first"`, so which of a station's descriptions won came down to the set's iteration order. Sorted, as the observation index already does, the newest period wins. The empty period set that says an interval reaches no release now stops the phenology values from reading anything, where it used to widen back to every published period and download a whole network's records to filter them all away. Station discovery keeps widening on purpose -- a station does not stop existing because the requested window lies outside every release -- which is now said where it happens. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

git · September 3, 2026, 9:19pm

github.com/earthobservations/wetterdienst

fix(dates): read a date string as the span it names (#1892)

committed 09:19PM - 03 Sep 26 UTC

gutzbenj

+350 -57

* fix(dates): read a date string as the span it names Every format the date fil…ter documents -- "2020-05", "2019", "2020-05-01" -- was read as the instant it starts with. A single date was matched with `==`, so a month or a year of hourly readings came back empty, because none of them falls exactly on the 1st at 00:00, and a day came back as the reading at midnight. An interval ran to the first instant of the span its second half names, so "2017-01/2019-12" ended on the 1st of December and "2010/2020" dropped all of 2020. The same reading of the string reached the CLI and REST API, where `--date=2019-12` asked for December and got a window of one instant. `parse_date_span` returns the span a string names, from which `filter_by_date` builds a half-open filter and the request layer a closed window. A date carrying a time names one instant, as before. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV * docs(dates): say what a date covers where a date is taken The date spans were explained where they are implemented and nowhere a user looks. `--date` on `interpolate` and `summarize` carried no help text at all, which `docs/usage/cli.md` renders as the CLI's own help, so all three commands share one description now. `ValuesResult.filter_by_date` said only "filter values by date", which is what the apidocs show for the method callers actually reach for. The REST and Python API pages each state what a date covers next to the examples that take one, the REST page with a month example beside the day and interval ones it already had. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV * fix(dates): tell a date from a time by asking for a date `datetime.fromisoformat` takes any single character between the date and the time, so looking for a "T" or a space called `2020-05-01t12` a date and answered it with the 24 hours following noon -- a day of readings offset by twelve, where one reading was asked for. A zone offset went the same way: `2020-05-01+02:00` became a day anchored at 02:00. `date.fromisoformat` answers the question directly. It takes the extended, basic and week forms of a date and rejects everything carrying a time, which then falls through to `datetime.fromisoformat` as the instant it is. `create_date_range`, in the module the filter lives in, still read a date as its first instant, so it would have handed the next caller the semantics this branch removes; it reads the span now. The two callers that need a closed window share `parse_date_window` rather than each stepping back a microsecond. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV * test(cli): assert the station of every exported row, not of the only one MOSMIX and DMO are hourly, and the export test names a day, so it now holds that day's readings rather than the single one at midnight -- which is what asking for a day is meant to give. `.item()` wanted a frame of exactly one row and raised on 24. The station of every row is the assertion that was meant, and it holds for the daily case just as well. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

git · September 3, 2026, 10:00pm

git · September 3, 2026, 10:04pm

github.com/grafana-toolbox/grafanimate

Bump actions/setup-python from 6 to 7

committed 10:04PM - 03 Sep 26 UTC

dependabot[bot]

+1 -1

Bumps [actions/setup-python](https://github.com/actions/setup-python) from 6 to …7. - [Release notes](https://github.com/actions/setup-python/releases) - [Commits](https://github.com/actions/setup-python/compare/v6...v7) --- updated-dependencies: - dependency-name: actions/setup-python dependency-version: '7' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com>

git · September 3, 2026, 10:04pm

github.com/grafana-toolbox/grafanimate

Update twine requirement from <7 to <8

committed 10:04PM - 03 Sep 26 UTC

dependabot[bot]

+1 -1

Updates the requirements on [twine](https://github.com/pypa/twine) to permit the… latest version. - [Release notes](https://github.com/pypa/twine/releases) - [Changelog](https://github.com/pypa/twine/blob/main/docs/changelog.rst) - [Commits](https://github.com/pypa/twine/compare/1.3.0...7.0.0) --- updated-dependencies: - dependency-name: twine dependency-version: 7.0.0 dependency-type: direct:development ... Signed-off-by: dependabot[bot] <support@github.com>

git · September 3, 2026, 10:06pm

github.com/grafana-toolbox/grafanimate

Update ruff requirement from <0.16 to <0.17

committed 10:06PM - 03 Sep 26 UTC

dependabot[bot]

+1 -1

Updates the requirements on [ruff](https://github.com/astral-sh/ruff) to permit …the latest version. - [Release notes](https://github.com/astral-sh/ruff/releases) - [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md) - [Commits](https://github.com/astral-sh/ruff/compare/v0.0.18...0.16.0) --- updated-dependencies: - dependency-name: ruff dependency-version: 0.16.0 dependency-type: direct:development ... Signed-off-by: dependabot[bot] <support@github.com>

git · September 3, 2026, 10:16pm

github.com/earthobservations/wetterdienst

fix(model): answer an empty interpolation, and label a plot with the unit it shows (#1893)

committed 10:16PM - 03 Sep 26 UTC

gutzbenj

+236 -44

* fix(model): answer an empty interpolation, and label a plot with the unit it s…hows Three defects in the result layer, each reproduced before being fixed. An interpolation or summary that came back with no rows raised `OutOfBoundsError: gather indices are out of bounds` from `to_ogc_feature_collection`, and so from `to_geojson` and the REST API's `format=geojson`, where `to_dict` on the same result answered fine. The feature's id was read out of the frame's first row, though it belongs to the point rather than to any row: it is the name beside it hashed, which is how the interpolation builds that column in the first place. Computed from the name, it is identical for every populated result -- `interpolation(48.2156,8.9784)` still hashes to the `6754d04d` the CLI tests expect -- and it is there when no row is. The plots labelled a parameter with a unit its values need not be in. The label mapping was keyed on the canonical name alone, while a frame carries `name_original` unless `ts_humanize` is on, so nothing matched and the label repeated the name: `sd_10 (sd_10)`. And the symbol was always the target unit's, though `ts_convert_units=False` leaves the values as the source published them, so `10_minutes/solar/sunshine_duration` came in hours under a label saying seconds. Both were in three copies of the same block, which now share one helper, and the lookup it needs is a `get_unit` on the converter that `update_targets` reuses in place of its own inline scan. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV * fix(model): key a plot's units by dataset, not by name alone A canonical parameter name is only unique within its dataset. DWD publishes `sunshine_duration` in hours at 10 minutes and in minutes at an hour, so a mapping keyed on the name alone kept whichever came last and labelled the other series with it -- left unconverted, a factor of 60 between the number and its unit, which is the mislabel the mapping was added to prevent. KNMI, Geosphere and NOAA GHCN each have such a pair too. The key carries the resolution and the dataset with the name, read off the frame by one expression that casts the metadata columns the aggregated results bring back as Enum. The plot test guards on plotly, as the tests for every other optional dependency in that file do -- it lives in the `plotting` extra, which a plain `uv sync` does not install. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

git · September 3, 2026, 10:18pm

github.com/earthobservations/wetterdienst

docs(changelog): keep one Fixed section under Unreleased (#1894)

committed 10:18PM - 03 Sep 26 UTC

gutzbenj

+28 -30

The date and result-layer entries went in above `### Added` rather than into the… `### Fixed` list already there, so Unreleased read Fixed, Added, Changed, Fixed. One list now, and the sections in the order Keep a Changelog gives them. Every one of the 25 entries is carried over unchanged. Claude-Session: https://claude.ai/code/session_011BMmz23eRedUH9VTYaMQzV Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>