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/{scenarioRunId}"
headers = {"X-Auth-Token": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text){
"scenarioId": "<string>",
"batchRunId": "<string>",
"scenarioRunId": "<string>",
"name": "<string>",
"description": "<string>",
"status": "<string>",
"results": {
"verdict": "<string>",
"reasoning": "<string>",
"metCriteria": [
"<string>"
],
"unmetCriteria": [
"<string>"
],
"error": "<string>"
},
"messages": [
{
"role": "<string>",
"content": "<string>"
}
],
"timestamp": 123,
"updatedAt": 123,
"durationInMs": 123,
"platformUrl": "<string>",
"totalCost": 123
}Get a single simulation run by its ID
import requests
url = "https://app.langwatch.ai/api/simulation-runs/{scenarioRunId}"
headers = {"X-Auth-Token": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text){
"scenarioId": "<string>",
"batchRunId": "<string>",
"scenarioRunId": "<string>",
"name": "<string>",
"description": "<string>",
"status": "<string>",
"results": {
"verdict": "<string>",
"reasoning": "<string>",
"metCriteria": [
"<string>"
],
"unmetCriteria": [
"<string>"
],
"error": "<string>"
},
"messages": [
{
"role": "<string>",
"content": "<string>"
}
],
"timestamp": 123,
"updatedAt": 123,
"durationInMs": 123,
"platformUrl": "<string>",
"totalCost": 123
}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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