wehub-resource-sync
26382a7ac6
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210 lines
6.5 KiB
JSON
210 lines
6.5 KiB
JSON
{
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"title": "lean-ctx — Token Economy",
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"description": "Context-layer FinOps: what your agents would have spent vs. what they did spend. Metrics contract: docs/reference/metrics-contract.json in the lean-ctx repo (GL #401). Import via Dashboards → New Dashboard → Import dashboard JSON.",
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"layout_type": "ordered",
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"reflow_type": "auto",
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"template_variables": [
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{ "name": "project", "prefix": "project", "available_values": [], "default": "*" },
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{ "name": "agent_role", "prefix": "agent_role", "available_values": [], "default": "*" },
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{ "name": "model", "prefix": "model", "available_values": [], "default": "*" }
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],
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"widgets": [
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{
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"definition": {
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"title": "Savings overview",
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"type": "group",
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"layout_type": "ordered",
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"widgets": [
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{
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"definition": {
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"title": "Tokens saved (24h, estimated)",
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"type": "query_value",
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"precision": 0,
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"autoscale": true,
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"requests": [
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{
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"queries": [
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{
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"name": "q1",
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"data_source": "metrics",
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"query": "sum:leanctx.tokens.saved.count{$project,$agent_role,$model}.as_count()",
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"aggregator": "sum"
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}
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],
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"formulas": [ { "formula": "q1" } ],
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"response_format": "scalar"
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}
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]
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}
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},
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{
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"definition": {
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"title": "Tokens saved (24h, verified ledger)",
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"type": "query_value",
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"precision": 0,
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"autoscale": true,
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"requests": [
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{
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"queries": [
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{
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"name": "q1",
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"data_source": "metrics",
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"query": "sum:leanctx.tokens.saved_verified.count{$project,$agent_role,$model}.as_count()",
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"aggregator": "sum"
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}
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],
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"formulas": [ { "formula": "q1" } ],
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"response_format": "scalar"
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}
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]
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}
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},
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{
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"definition": {
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"title": "Cost saved USD (24h, verified)",
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"type": "query_value",
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"precision": 2,
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"custom_unit": "$",
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"requests": [
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{
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"queries": [
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{
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"name": "q1",
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"data_source": "metrics",
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"query": "sum:leanctx.cost.saved_usd.count{$project,$agent_role,$model}.as_count()",
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"aggregator": "sum"
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}
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],
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"formulas": [ { "formula": "q1" } ],
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"response_format": "scalar"
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}
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]
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}
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}
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]
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}
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},
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{
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"definition": {
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"title": "Token flow — in vs. out vs. saved",
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"type": "timeseries",
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"show_legend": true,
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"requests": [
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{
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"display_type": "bars",
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"queries": [
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{
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"name": "tin",
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"data_source": "metrics",
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"query": "sum:leanctx.tokens.in.count{$project,$agent_role,$model}.as_count()"
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},
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{
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"name": "tout",
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"data_source": "metrics",
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"query": "sum:leanctx.tokens.out.count{$project,$agent_role,$model}.as_count()"
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},
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{
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"name": "tsave",
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"data_source": "metrics",
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"query": "sum:leanctx.tokens.saved.count{$project,$agent_role,$model}.as_count()"
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}
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],
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"formulas": [
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{ "formula": "tin", "alias": "tokens in" },
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{ "formula": "tout", "alias": "tokens out" },
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{ "formula": "tsave", "alias": "tokens saved" }
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],
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"response_format": "timeseries"
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}
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]
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}
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},
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{
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"definition": {
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"title": "Cache hit ratio",
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"type": "timeseries",
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"show_legend": false,
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"yaxis": { "min": "0", "max": "1" },
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"requests": [
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{
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"display_type": "line",
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"queries": [
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{
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"name": "q1",
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"data_source": "metrics",
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"query": "avg:leanctx.cache.hit_ratio{$project,$agent_role,$model}"
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}
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],
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"formulas": [ { "formula": "q1", "alias": "hit ratio" } ],
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"response_format": "timeseries"
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}
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]
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}
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},
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{
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"definition": {
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"title": "SLO status — active violations",
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"type": "timeseries",
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"show_legend": false,
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"requests": [
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{
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"display_type": "bars",
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"queries": [
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{
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"name": "q1",
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"data_source": "metrics",
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"query": "max:leanctx.slo.violations{$project}"
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}
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],
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"formulas": [ { "formula": "q1", "alias": "active SLO violations" } ],
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"response_format": "timeseries"
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}
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]
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}
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},
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{
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"definition": {
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"title": "Cost trend — saved USD per day",
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"type": "timeseries",
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"show_legend": false,
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"requests": [
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{
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"display_type": "bars",
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"queries": [
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{
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"name": "q1",
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"data_source": "metrics",
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"query": "sum:leanctx.cost.saved_usd.count{$project}.as_count().rollup(sum, 86400)"
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}
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],
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"formulas": [ { "formula": "q1", "alias": "USD saved / day" } ],
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"response_format": "timeseries"
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}
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]
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}
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},
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{
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"definition": {
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"title": "Compression ratio by deployment",
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"type": "timeseries",
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"show_legend": true,
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"yaxis": { "min": "0", "max": "1" },
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"requests": [
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{
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"display_type": "line",
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"queries": [
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{
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"name": "q1",
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"data_source": "metrics",
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"query": "avg:leanctx.compression.ratio{$project} by {project}"
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}
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],
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"formulas": [ { "formula": "q1" } ],
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"response_format": "timeseries"
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}
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]
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}
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}
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]
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}
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