mirror of
https://github.com/hanzoai/insights.git
synced 2026-11-03 00:52:32 +00:00
zeekay
1b367e2b62
The tree was a debranded snapshot of upstream taken around 2026-02-20, and upstream has moved about five months since. This replaces it with upstream master, mechanically re-derived: bin/debrand does the rename, and the pipeline and squashed migrations are restored from the shipped tree. Not a merge. The previous import replaced the tree wholesale in a single commit, so there is no shared content history to merge against. Reproducing the rename on the new tree is what actually converges. What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md, and insights/migrations. The squashed initial migration is load-bearing — the live database records it by name, so upstream's ~918 individual migrations cannot come back. Nine products are dropped as unreferenced. Twenty-one more that we do not run are kept anyway because the core app still imports them; unpicking those is a refactor and does not belong in a rebase. This base does not build yet, and the reasons are not in the rename: upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against our 4.2, and the dependency manifests still name upstream packages that we republish under our own names. Those are decisions, not renames.
66 lines
2.8 KiB
JSON
66 lines
2.8 KiB
JSON
{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"properties": {
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"bucket_minutes": {
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"anyOf": [
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{
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"const": 5,
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"type": "number"
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},
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{
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"const": 15,
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"type": "number"
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},
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{
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"const": 30,
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"type": "number"
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},
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{
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"const": 60,
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"type": "number"
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}
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],
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"description": "When set, additionally return a `by_bucket` breakdown: a time-ascending UTC cost series for the scoped product at this bucket size in minutes, with per-bucket cost split into uncached input / output / cache read / cache creation components plus the matching token sums. Supported bucket sizes: 5, 15, 30, 60. The window may span at most 600 buckets of the chosen size (e.g. 50 hours at 5-minute buckets).\n\n* `5` - 5\n* `15` - 15\n* `30` - 30\n* `60` - 60"
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},
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"date_from": {
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"default": "-30d",
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"description": "Start of the spend window. Accepts absolute dates (`2026-04-23`) or relative strings (`-7d`, `-1m`, etc.) — same parser used elsewhere in Insights. Defaults to `-30d`. The window between `date_from` and `date_to` cannot exceed 90 days.",
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"maxLength": 32,
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"minLength": 1,
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"type": "string"
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},
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"date_to": {
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"anyOf": [
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{
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"maxLength": 32,
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"description": "End of the spend window. Accepts the same formats as `date_from`. Defaults to `now` when omitted."
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},
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"limit": {
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"default": 50,
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"description": "Maximum number of rows to return per breakdown (1-200, defaults to 50). Each breakdown returns up to this many rows ordered by cost descending. Per-breakdown `truncated: true` indicates more rows exist beyond the limit.",
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"maximum": 200,
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"minimum": 1,
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"type": "number"
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},
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"product": {
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"description": "Required `ai_product` key to scope the tool / model / trace breakdowns to a single product. Only the following products are currently supported: insights_code.",
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"maxLength": 64,
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"minLength": 1,
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"type": "string"
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},
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"refresh": {
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"default": false,
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"description": "If true, bypass the result cache and re-run the underlying queries against Datastore.",
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"type": "boolean"
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}
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},
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"required": ["product"],
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"type": "object"
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}
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