Python
import requests
url = "https://app.langwatch.ai/api/analytics/timeseries"
payload = {
"startDate": 123,
"endDate": 123,
"series": [
{
"key": "<string>",
"subkey": "<string>",
"filters": {
"topics.topics": ["<string>"],
"topics.subtopics": ["<string>"],
"metadata.user_id": ["<string>"],
"metadata.thread_id": ["<string>"],
"metadata.customer_id": ["<string>"],
"metadata.labels": ["<string>"],
"metadata.key": ["<string>"],
"metadata.value": ["<string>"],
"metadata.prompt_ids": ["<string>"],
"traces.origin": ["<string>"],
"traces.error": ["<string>"],
"traces.name": ["<string>"],
"spans.type": ["<string>"],
"spans.model": ["<string>"],
"evaluations.evaluator_id": ["<string>"],
"evaluations.evaluator_id.guardrails_only": ["<string>"],
"evaluations.evaluator_id.has_passed": ["<string>"],
"evaluations.evaluator_id.has_score": ["<string>"],
"evaluations.evaluator_id.has_label": ["<string>"],
"evaluations.passed": ["<string>"],
"evaluations.score": ["<string>"],
"evaluations.state": ["<string>"],
"evaluations.label": ["<string>"],
"events.event_type": ["<string>"],
"events.metrics.key": ["<string>"],
"events.metrics.value": ["<string>"],
"events.event_details.key": ["<string>"],
"annotations.hasAnnotation": ["<string>"]
},
"asPercent": True
}
],
"timeZone": "<string>"
}
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'X-Auth-Token': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
startDate: 123,
endDate: 123,
series: [
{
key: '<string>',
subkey: '<string>',
filters: {
'topics.topics': ['<string>'],
'topics.subtopics': ['<string>'],
'metadata.user_id': ['<string>'],
'metadata.thread_id': ['<string>'],
'metadata.customer_id': ['<string>'],
'metadata.labels': ['<string>'],
'metadata.key': ['<string>'],
'metadata.value': ['<string>'],
'metadata.prompt_ids': ['<string>'],
'traces.origin': ['<string>'],
'traces.error': ['<string>'],
'traces.name': ['<string>'],
'spans.type': ['<string>'],
'spans.model': ['<string>'],
'evaluations.evaluator_id': ['<string>'],
'evaluations.evaluator_id.guardrails_only': ['<string>'],
'evaluations.evaluator_id.has_passed': ['<string>'],
'evaluations.evaluator_id.has_score': ['<string>'],
'evaluations.evaluator_id.has_label': ['<string>'],
'evaluations.passed': ['<string>'],
'evaluations.score': ['<string>'],
'evaluations.state': ['<string>'],
'evaluations.label': ['<string>'],
'events.event_type': ['<string>'],
'events.metrics.key': ['<string>'],
'events.metrics.value': ['<string>'],
'events.event_details.key': ['<string>'],
'annotations.hasAnnotation': ['<string>']
},
asPercent: true
}
],
timeZone: '<string>'
})
};
fetch('https://app.langwatch.ai/api/analytics/timeseries', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));curl --request POST \
--url https://app.langwatch.ai/api/analytics/timeseries \
--header 'Content-Type: application/json' \
--header 'X-Auth-Token: <api-key>' \
--data '
{
"startDate": 123,
"endDate": 123,
"series": [
{
"key": "<string>",
"subkey": "<string>",
"filters": {
"topics.topics": [
"<string>"
],
"topics.subtopics": [
"<string>"
],
"metadata.user_id": [
"<string>"
],
"metadata.thread_id": [
"<string>"
],
"metadata.customer_id": [
"<string>"
],
"metadata.labels": [
"<string>"
],
"metadata.key": [
"<string>"
],
"metadata.value": [
"<string>"
],
"metadata.prompt_ids": [
"<string>"
],
"traces.origin": [
"<string>"
],
"traces.error": [
"<string>"
],
"traces.name": [
"<string>"
],
"spans.type": [
"<string>"
],
"spans.model": [
"<string>"
],
"evaluations.evaluator_id": [
"<string>"
],
"evaluations.evaluator_id.guardrails_only": [
"<string>"
],
"evaluations.evaluator_id.has_passed": [
"<string>"
],
"evaluations.evaluator_id.has_score": [
"<string>"
],
"evaluations.evaluator_id.has_label": [
"<string>"
],
"evaluations.passed": [
"<string>"
],
"evaluations.score": [
"<string>"
],
"evaluations.state": [
"<string>"
],
"evaluations.label": [
"<string>"
],
"events.event_type": [
"<string>"
],
"events.metrics.key": [
"<string>"
],
"events.metrics.value": [
"<string>"
],
"events.event_details.key": [
"<string>"
],
"annotations.hasAnnotation": [
"<string>"
]
},
"asPercent": true
}
],
"timeZone": "<string>"
}
'{
"currentPeriod": [
{}
],
"previousPeriod": [
{}
]
}{
"error": "<string>",
"message": "<string>"
}{
"error": "<string>",
"message": "<string>"
}{
"error": "<string>",
"message": "<string>"
}{
"error": "<string>",
"message": "<string>"
}Analytics
Create Timeseries
Query analytics timeseries data with metrics, aggregations, and filters
POST
/
api
/
analytics
/
timeseries
Python
import requests
url = "https://app.langwatch.ai/api/analytics/timeseries"
payload = {
"startDate": 123,
"endDate": 123,
"series": [
{
"key": "<string>",
"subkey": "<string>",
"filters": {
"topics.topics": ["<string>"],
"topics.subtopics": ["<string>"],
"metadata.user_id": ["<string>"],
"metadata.thread_id": ["<string>"],
"metadata.customer_id": ["<string>"],
"metadata.labels": ["<string>"],
"metadata.key": ["<string>"],
"metadata.value": ["<string>"],
"metadata.prompt_ids": ["<string>"],
"traces.origin": ["<string>"],
"traces.error": ["<string>"],
"traces.name": ["<string>"],
"spans.type": ["<string>"],
"spans.model": ["<string>"],
"evaluations.evaluator_id": ["<string>"],
"evaluations.evaluator_id.guardrails_only": ["<string>"],
"evaluations.evaluator_id.has_passed": ["<string>"],
"evaluations.evaluator_id.has_score": ["<string>"],
"evaluations.evaluator_id.has_label": ["<string>"],
"evaluations.passed": ["<string>"],
"evaluations.score": ["<string>"],
"evaluations.state": ["<string>"],
"evaluations.label": ["<string>"],
"events.event_type": ["<string>"],
"events.metrics.key": ["<string>"],
"events.metrics.value": ["<string>"],
"events.event_details.key": ["<string>"],
"annotations.hasAnnotation": ["<string>"]
},
"asPercent": True
}
],
"timeZone": "<string>"
}
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'X-Auth-Token': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
startDate: 123,
endDate: 123,
series: [
{
key: '<string>',
subkey: '<string>',
filters: {
'topics.topics': ['<string>'],
'topics.subtopics': ['<string>'],
'metadata.user_id': ['<string>'],
'metadata.thread_id': ['<string>'],
'metadata.customer_id': ['<string>'],
'metadata.labels': ['<string>'],
'metadata.key': ['<string>'],
'metadata.value': ['<string>'],
'metadata.prompt_ids': ['<string>'],
'traces.origin': ['<string>'],
'traces.error': ['<string>'],
'traces.name': ['<string>'],
'spans.type': ['<string>'],
'spans.model': ['<string>'],
'evaluations.evaluator_id': ['<string>'],
'evaluations.evaluator_id.guardrails_only': ['<string>'],
'evaluations.evaluator_id.has_passed': ['<string>'],
'evaluations.evaluator_id.has_score': ['<string>'],
'evaluations.evaluator_id.has_label': ['<string>'],
'evaluations.passed': ['<string>'],
'evaluations.score': ['<string>'],
'evaluations.state': ['<string>'],
'evaluations.label': ['<string>'],
'events.event_type': ['<string>'],
'events.metrics.key': ['<string>'],
'events.metrics.value': ['<string>'],
'events.event_details.key': ['<string>'],
'annotations.hasAnnotation': ['<string>']
},
asPercent: true
}
],
timeZone: '<string>'
})
};
fetch('https://app.langwatch.ai/api/analytics/timeseries', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));curl --request POST \
--url https://app.langwatch.ai/api/analytics/timeseries \
--header 'Content-Type: application/json' \
--header 'X-Auth-Token: <api-key>' \
--data '
{
"startDate": 123,
"endDate": 123,
"series": [
{
"key": "<string>",
"subkey": "<string>",
"filters": {
"topics.topics": [
"<string>"
],
"topics.subtopics": [
"<string>"
],
"metadata.user_id": [
"<string>"
],
"metadata.thread_id": [
"<string>"
],
"metadata.customer_id": [
"<string>"
],
"metadata.labels": [
"<string>"
],
"metadata.key": [
"<string>"
],
"metadata.value": [
"<string>"
],
"metadata.prompt_ids": [
"<string>"
],
"traces.origin": [
"<string>"
],
"traces.error": [
"<string>"
],
"traces.name": [
"<string>"
],
"spans.type": [
"<string>"
],
"spans.model": [
"<string>"
],
"evaluations.evaluator_id": [
"<string>"
],
"evaluations.evaluator_id.guardrails_only": [
"<string>"
],
"evaluations.evaluator_id.has_passed": [
"<string>"
],
"evaluations.evaluator_id.has_score": [
"<string>"
],
"evaluations.evaluator_id.has_label": [
"<string>"
],
"evaluations.passed": [
"<string>"
],
"evaluations.score": [
"<string>"
],
"evaluations.state": [
"<string>"
],
"evaluations.label": [
"<string>"
],
"events.event_type": [
"<string>"
],
"events.metrics.key": [
"<string>"
],
"events.metrics.value": [
"<string>"
],
"events.event_details.key": [
"<string>"
],
"annotations.hasAnnotation": [
"<string>"
]
},
"asPercent": true
}
],
"timeZone": "<string>"
}
'{
"currentPeriod": [
{}
],
"previousPeriod": [
{}
]
}{
"error": "<string>",
"message": "<string>"
}{
"error": "<string>",
"message": "<string>"
}{
"error": "<string>",
"message": "<string>"
}{
"error": "<string>",
"message": "<string>"
}Authorizations
Project API key for sending traces and accessing project-scoped resources. Format: sk-lw-... (no underscore). Obtain one by creating a project via the Admin API or the LangWatch UI.
Body
application/json
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Available options:
topics.topics, traces.trace_name, metadata.user_id, metadata.thread_id, metadata.customer_id, metadata.labels, metadata.model, metadata.span_type, sentiment.thumbs_up_down, events.event_type, evaluations.evaluation_passed, evaluations.evaluation_label, evaluations.evaluation_processing_state, error.has_error Allowed value:
"full"Was this page helpful?
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