Get started with LangWatch Skills in seconds: Set up evals, scenario tests, and tracing just by asking your AI coding assistant.
import requests
url = "https://app.langwatch.ai/api/simulation-runs/batches/list"
headers = {"X-Auth-Token": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text){
"batches": [
{
"batchRunId": "<string>",
"totalCount": 123,
"passCount": 123,
"failCount": 123,
"runningCount": 123,
"stalledCount": 123,
"lastRunAt": 123,
"lastUpdatedAt": 123,
"firstCompletedAt": 123,
"allCompletedAt": 123
}
],
"hasMore": true,
"nextCursor": "<string>"
}List batch summaries for a scenario set (pass/fail counts per batch)
import requests
url = "https://app.langwatch.ai/api/simulation-runs/batches/list"
headers = {"X-Auth-Token": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text){
"batches": [
{
"batchRunId": "<string>",
"totalCount": 123,
"passCount": 123,
"failCount": 123,
"runningCount": 123,
"stalledCount": 123,
"lastRunAt": 123,
"lastUpdatedAt": 123,
"firstCompletedAt": 123,
"allCompletedAt": 123
}
],
"hasMore": true,
"nextCursor": "<string>"
}Documentation Index
Fetch the complete documentation index at: https://langwatch.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
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.
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