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/annotations/trace/{id}"
payload = {
"comment": "<string>",
"isThumbsUp": True,
"email": "<string>"
}
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"id": "<string>",
"projectId": "<string>",
"traceId": "<string>",
"comment": "<string>",
"isThumbsUp": true,
"userId": "<string>",
"createdAt": "<string>",
"updatedAt": "<string>",
"email": "<string>"
}Create an annotation for a single trace
import requests
url = "https://app.langwatch.ai/api/annotations/trace/{id}"
payload = {
"comment": "<string>",
"isThumbsUp": True,
"email": "<string>"
}
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"id": "<string>",
"projectId": "<string>",
"traceId": "<string>",
"comment": "<string>",
"isThumbsUp": true,
"userId": "<string>",
"createdAt": "<string>",
"updatedAt": "<string>",
"email": "<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.
ID of the trace to annotate
Annotation created
The ID of the annotation
The ID of the project
The ID of the trace
The comment of the annotation
The thumbs up status of the annotation
The ID of the user
The created at of the annotation
The updated at of the annotation
The email of the user
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