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/workflows/{id}"
payload = {
"name": "<string>",
"icon": "<string>",
"description": "<string>"
}
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text){
"id": "<string>",
"name": "<string>",
"icon": "<string>",
"description": "<string>",
"isEvaluator": true,
"isComponent": true,
"createdAt": "<string>",
"updatedAt": "<string>",
"platformUrl": "<string>"
}Update a workflow’s metadata (name, icon, description)
import requests
url = "https://app.langwatch.ai/api/workflows/{id}"
payload = {
"name": "<string>",
"icon": "<string>",
"description": "<string>"
}
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text){
"id": "<string>",
"name": "<string>",
"icon": "<string>",
"description": "<string>",
"isEvaluator": true,
"isComponent": true,
"createdAt": "<string>",
"updatedAt": "<string>",
"platformUrl": "<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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