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https://github.com/BerriAI/litellm.git
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df23f11e9b
* feat(lens): carry lens.source attributes on trace span rows * feat(lens): read lens.source attributes in trace_spans query * feat(lens): read lens.source attributes in trace_page_spans query * feat(lens): read lens.source attributes in trace_span_batch query * feat(lens): read lens.source attributes in trace_list_span_batch query * feat(lens): decode lens.source columns from clickhouse span rows * feat(lens): add run source to the trace summary contract * feat(lens): export RunSource from litellm-traces * feat(lens): resolve the https run source from the root span * test(lens): cover run source resolution and https guard * test(lens): add source fields to capture fixture rows * test(lens): round-trip source fields on span row contract * test(lens): add source fields to trace cache test rows * test(lens): add source fields to trace cache read fixtures * test(lens): add source fields to trace cache snapshot fixtures * chore(lens): regenerate python trace types with run source * chore(lens): regenerate trace json schema with run source * chore(lens): regenerate trace page json schema with run source * chore(ui): regenerate api types with trace run source * feat(lens): add run source link with hover card * test(lens): cover run source app detection and url guard * feat(lens): show the run source next to the trace name * feat(lens): label the run source link, e.g. Slack thread * test(lens): assert run source link labels * feat(lens): move the run source link into the trace stats row * feat(lens): add a typed run source, e.g. slack or teams * feat(lens): export RunSourceType * feat(lens): carry the source type on trace span rows * feat(lens): resolve the run source type, defaulting to custom * feat(lens): read agent.source attributes in trace_spans query * feat(lens): read agent.source attributes in trace_page_spans query * feat(lens): read agent.source attributes in trace_span_batch query * feat(lens): read agent.source attributes in trace_list_span_batch query * feat(lens): decode the source type from clickhouse span rows * test(lens): cover run source type parsing * test(lens): add source type to capture fixture rows * test(lens): round-trip source type on span row contract * test(lens): add source type to trace cache test rows * test(lens): add source type to trace cache read fixtures * test(lens): add source type to trace cache snapshot fixtures * chore(lens): regenerate python trace types with source type * chore(lens): regenerate trace json schema with source type * chore(lens): regenerate trace page json schema with source type * chore(ui): regenerate api types with run source type * feat(lens): pick the run source logo and label from its type * test(lens): cover run source labels by type and slack logo * feat(lens): show the run source as a Source stat with the app name * test(lens): assert run source app names * feat(lens): place the Source stat before Duration
216 lines
4.6 KiB
JSON
216 lines
4.6 KiB
JSON
{
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"$defs": {
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"RunSource": {
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"description": "The conversation that started the run, from the `agent.source.*` span attributes.",
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"properties": {
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"title": {
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"type": "string"
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},
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"type": {
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"$ref": "#/$defs/RunSourceType"
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},
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"url": {
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"type": "string"
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}
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},
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"required": [
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"type",
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"url",
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"title"
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],
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"type": "object"
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},
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"RunSourceType": {
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"enum": [
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"slack",
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"teams",
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"discord",
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"linear",
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"github",
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"jira",
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"custom"
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],
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"type": "string"
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},
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"SpanStatus": {
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"enum": [
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"ok",
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"error",
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"unset"
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],
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"type": "string"
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},
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"TraceSummary": {
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"properties": {
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"agent_count": {
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"format": "uint64",
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"maximum": 18446744073709551615,
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"minimum": 0,
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"type": "integer"
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},
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"agent_invocations": {
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"format": "uint64",
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"maximum": 18446744073709551615,
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"minimum": 0,
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"type": "integer"
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},
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"agent_names": {
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"items": {
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"type": "string"
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},
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"type": "array",
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"x-python-optional": true
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},
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"duration_ms": {
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"format": "double",
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"type": "number"
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},
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"error_count": {
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"format": "uint64",
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"maximum": 18446744073709551615,
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"minimum": 0,
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"type": "integer"
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},
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"frameworks": {
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"items": {
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"type": "string"
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},
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"type": "array",
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"x-python-optional": true
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},
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"input_preview": {
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"type": "string"
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},
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"input_tokens": {
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"format": "uint64",
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"maximum": 18446744073709551615,
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"minimum": 0,
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"type": "integer"
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},
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"llm_calls": {
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"format": "uint64",
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"maximum": 18446744073709551615,
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"minimum": 0,
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"type": "integer"
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},
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"models": {
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"items": {
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"type": "string"
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},
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"type": "array"
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},
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"name": {
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"type": "string"
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},
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"output_tokens": {
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"format": "uint64",
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"maximum": 18446744073709551615,
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"minimum": 0,
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"type": "integer"
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},
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"priced_calls": {
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"format": "uint64",
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"maximum": 18446744073709551615,
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"minimum": 0,
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"type": "integer"
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},
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"resolution_limited": {
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"type": "boolean",
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"x-python-optional": true
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},
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"service": {
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"type": "string"
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},
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"source": {
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"anyOf": [
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{
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"$ref": "#/$defs/RunSource"
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},
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{
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"type": "null"
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}
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],
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"x-python-optional": true
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},
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"span_count": {
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"format": "uint64",
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"maximum": 18446744073709551615,
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"minimum": 0,
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"type": "integer"
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},
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"spend": {
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"format": "double",
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"type": [
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"number",
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"null"
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]
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},
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"start_time": {
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"type": "string"
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},
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"status": {
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"$ref": "#/$defs/SpanStatus"
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},
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"tool_calls": {
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"format": "uint64",
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"maximum": 18446744073709551615,
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"minimum": 0,
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"type": "integer"
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},
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"trace_id": {
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"type": "string"
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},
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"trace_ref": {
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"type": "string",
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"x-python-optional": true
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}
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},
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"required": [
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"resolution_limited",
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"trace_id",
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"trace_ref",
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"name",
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"service",
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"agent_names",
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"frameworks",
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"input_preview",
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"start_time",
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"duration_ms",
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"status",
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"span_count",
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"agent_count",
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"agent_invocations",
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"llm_calls",
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"tool_calls",
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"error_count",
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"input_tokens",
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"output_tokens",
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"models",
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"spend",
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"priced_calls"
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],
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"type": "object"
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}
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},
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"properties": {
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"data": {
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"items": {
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"$ref": "#/$defs/TraceSummary"
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},
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"type": "array"
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},
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"next_cursor": {
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"type": [
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"string",
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"null"
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]
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}
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},
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"required": [
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"data",
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"next_cursor"
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],
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"title": "TracePage",
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"type": "object"
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}
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