Traceloop · JSON-LD Context
Traceloop Context
JSON-LD context defining the semantic vocabulary for Traceloop from Traceloop.
36 Classes
37 Properties
4 Namespaces
Namespaces
schema:
https://schema.org/
tl:
https://www.traceloop.com/vocab#
otel:
https://opentelemetry.io/vocab#
xsd:
http://www.w3.org/2001/XMLSchema#
Classes
Traceloop
AutoMonitorSetup
Evaluator
EvaluatorResult
Span
SpanWarehouse
Organization
Environment
Selector
Metric
LLMMessage
name
description
url
version
EvaluatorCategory
LLMAsJudge
SafetyEvaluator
AgentEvaluator
TechnicalValidator
UtilityMetric
faithfulness
answerCorrectness
answerRelevancy
answerCompleteness
contextRelevance
piiDetector
toxicityDetector
promptInjection
secretsDetector
agentEfficiency
agentToolTrajectory
semanticSimilarity
perplexity
OpenLLMetry
bearerAuth
Properties
| Property | Type | Container |
|---|---|---|
| externalId | string | |
| status | string | |
| selector | reference | |
| evaluators | list | |
| score | decimal | |
| passed | boolean | |
| reason | string | |
| input | reference | |
| config | reference | |
| threshold | decimal | |
| projectId | string | |
| environmentId | string | |
| organizationId | string | |
| apiKey | string | |
| prompt | string | |
| completion | string | |
| context | string | |
| question | string | |
| answer | string | |
| groundTruth | string | |
| text | string | |
| role | string | |
| content | string | |
| trajectoryPrompts | list | |
| trajectoryCompletions | list | |
| executedToolCalls | list | |
| expectedToolCalls | list | |
| metricName | string | |
| value | decimal | |
| timestamp | dateTime | |
| createdAt | dateTime | |
| updatedAt | dateTime | |
| highWaterMark | dateTime | |
| pageSize | integer | |
| page | integer | |
| total | integer | |
| baseURL | reference |
JSON-LD Document
{
"@context": {
"@version": 1.1,
"schema": "https://schema.org/",
"tl": "https://www.traceloop.com/vocab#",
"otel": "https://opentelemetry.io/vocab#",
"xsd": "http://www.w3.org/2001/XMLSchema#",
"Traceloop": "tl:Traceloop",
"AutoMonitorSetup": "tl:AutoMonitorSetup",
"Evaluator": "tl:Evaluator",
"EvaluatorResult": "tl:EvaluatorResult",
"Span": "otel:Span",
"SpanWarehouse": "tl:SpanWarehouse",
"Organization": "schema:Organization",
"Environment": "tl:Environment",
"Selector": "tl:Selector",
"Metric": "tl:Metric",
"LLMMessage": "tl:LLMMessage",
"name": "schema:name",
"description": "schema:description",
"url": "schema:url",
"version": "schema:version",
"externalId": {
"@id": "tl:externalId",
"@type": "xsd:string"
},
"status": {
"@id": "tl:status",
"@type": "xsd:string"
},
"selector": {
"@id": "tl:selector",
"@type": "@id"
},
"evaluators": {
"@id": "tl:evaluators",
"@container": "@list"
},
"score": {
"@id": "tl:score",
"@type": "xsd:decimal"
},
"passed": {
"@id": "tl:passed",
"@type": "xsd:boolean"
},
"reason": {
"@id": "tl:reason",
"@type": "xsd:string"
},
"input": {
"@id": "tl:input",
"@type": "@id"
},
"config": {
"@id": "tl:config",
"@type": "@id"
},
"threshold": {
"@id": "tl:threshold",
"@type": "xsd:decimal"
},
"projectId": {
"@id": "tl:projectId",
"@type": "xsd:string"
},
"environmentId": {
"@id": "tl:environmentId",
"@type": "xsd:string"
},
"organizationId": {
"@id": "tl:organizationId",
"@type": "xsd:string"
},
"apiKey": {
"@id": "tl:apiKey",
"@type": "xsd:string"
},
"prompt": {
"@id": "tl:prompt",
"@type": "xsd:string"
},
"completion": {
"@id": "tl:completion",
"@type": "xsd:string"
},
"context": {
"@id": "tl:context",
"@type": "xsd:string"
},
"question": {
"@id": "tl:question",
"@type": "xsd:string"
},
"answer": {
"@id": "tl:answer",
"@type": "xsd:string"
},
"groundTruth": {
"@id": "tl:groundTruth",
"@type": "xsd:string"
},
"text": {
"@id": "tl:text",
"@type": "xsd:string"
},
"role": {
"@id": "tl:role",
"@type": "xsd:string"
},
"content": {
"@id": "tl:content",
"@type": "xsd:string"
},
"trajectoryPrompts": {
"@id": "tl:trajectoryPrompts",
"@container": "@list"
},
"trajectoryCompletions": {
"@id": "tl:trajectoryCompletions",
"@container": "@list"
},
"executedToolCalls": {
"@id": "tl:executedToolCalls",
"@container": "@list"
},
"expectedToolCalls": {
"@id": "tl:expectedToolCalls",
"@container": "@list"
},
"metricName": {
"@id": "tl:metricName",
"@type": "xsd:string"
},
"value": {
"@id": "tl:value",
"@type": "xsd:decimal"
},
"timestamp": {
"@id": "tl:timestamp",
"@type": "xsd:dateTime"
},
"createdAt": {
"@id": "tl:createdAt",
"@type": "xsd:dateTime"
},
"updatedAt": {
"@id": "tl:updatedAt",
"@type": "xsd:dateTime"
},
"highWaterMark": {
"@id": "tl:highWaterMark",
"@type": "xsd:dateTime"
},
"pageSize": {
"@id": "tl:pageSize",
"@type": "xsd:integer"
},
"page": {
"@id": "tl:page",
"@type": "xsd:integer"
},
"total": {
"@id": "tl:total",
"@type": "xsd:integer"
},
"EvaluatorCategory": "tl:EvaluatorCategory",
"LLMAsJudge": "tl:LLMAsJudge",
"SafetyEvaluator": "tl:SafetyEvaluator",
"AgentEvaluator": "tl:AgentEvaluator",
"TechnicalValidator": "tl:TechnicalValidator",
"UtilityMetric": "tl:UtilityMetric",
"faithfulness": "tl:faithfulness",
"answerCorrectness": "tl:answerCorrectness",
"answerRelevancy": "tl:answerRelevancy",
"answerCompleteness": "tl:answerCompleteness",
"contextRelevance": "tl:contextRelevance",
"piiDetector": "tl:piiDetector",
"toxicityDetector": "tl:toxicityDetector",
"promptInjection": "tl:promptInjection",
"secretsDetector": "tl:secretsDetector",
"agentEfficiency": "tl:agentEfficiency",
"agentToolTrajectory": "tl:agentToolTrajectory",
"semanticSimilarity": "tl:semanticSimilarity",
"perplexity": "tl:perplexity",
"OpenLLMetry": "tl:OpenLLMetry",
"bearerAuth": "tl:bearerAuth",
"baseURL": {
"@id": "tl:baseURL",
"@type": "@id"
}
},
"@graph": [
{
"@id": "tl:Traceloop",
"@type": "schema:SoftwareApplication",
"name": "Traceloop",
"description": "LLM reliability and observability platform built on OpenTelemetry",
"url": "https://www.traceloop.com/",
"schema:applicationCategory": "AI Observability",
"baseURL": "https://api.traceloop.com"
},
{
"@id": "tl:AutoMonitorSetup",
"@type": "schema:Action",
"name": "Auto Monitor Setup",
"description": "Automatic monitoring configuration that applies evaluators to matching LLM spans"
},
{
"@id": "tl:Evaluator",
"@type": "schema:Action",
"name": "Evaluator",
"description": "A scoring function that assesses a quality dimension of an LLM interaction"
},
{
"@id": "tl:OpenLLMetry",
"@type": "schema:SoftwareSourceCode",
"name": "OpenLLMetry",
"description": "Open-source OpenTelemetry-based SDK for LLM observability",
"url": "https://github.com/traceloop/openllmetry",
"schema:programmingLanguage": ["Python", "TypeScript", "Go", "Ruby"]
}
]
}