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/prompts"
payload = { "handle": "<string>" }
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"id": "<string>",
"handle": "<string>",
"scope": "ORGANIZATION",
"name": "<string>",
"updatedAt": "<string>",
"projectId": "<string>",
"organizationId": "<string>",
"versionId": "<string>",
"version": 123,
"createdAt": "<string>",
"prompt": "<string>",
"messages": [],
"inputs": [],
"outputs": [
{
"identifier": "<string>",
"type": "str",
"json_schema": {
"type": "<string>"
}
}
],
"model": "<string>",
"tags": [],
"authorId": "<string>",
"commitMessage": "<string>",
"temperature": 123,
"maxTokens": 123,
"demonstrations": {
"id": "<string>",
"name": "<string>",
"inline": {
"records": {},
"columnTypes": [
{
"name": "<string>",
"type": "<string>",
"id": "<string>"
}
]
}
},
"promptingTechnique": {
"type": "few_shot",
"demonstrations": {
"id": "<string>",
"name": "<string>",
"inline": {
"records": {},
"columnTypes": [
{
"name": "<string>",
"type": "<string>",
"id": "<string>"
}
]
}
}
},
"responseFormat": {
"type": "json_schema",
"json_schema": {
"name": "<string>",
"schema": {}
}
}
}Create a new prompt with default initial version
import requests
url = "https://app.langwatch.ai/api/prompts"
payload = { "handle": "<string>" }
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"id": "<string>",
"handle": "<string>",
"scope": "ORGANIZATION",
"name": "<string>",
"updatedAt": "<string>",
"projectId": "<string>",
"organizationId": "<string>",
"versionId": "<string>",
"version": 123,
"createdAt": "<string>",
"prompt": "<string>",
"messages": [],
"inputs": [],
"outputs": [
{
"identifier": "<string>",
"type": "str",
"json_schema": {
"type": "<string>"
}
}
],
"model": "<string>",
"tags": [],
"authorId": "<string>",
"commitMessage": "<string>",
"temperature": 123,
"maxTokens": 123,
"demonstrations": {
"id": "<string>",
"name": "<string>",
"inline": {
"records": {},
"columnTypes": [
{
"name": "<string>",
"type": "<string>",
"id": "<string>"
}
]
}
},
"promptingTechnique": {
"type": "few_shot",
"demonstrations": {
"id": "<string>",
"name": "<string>",
"inline": {
"records": {},
"columnTypes": [
{
"name": "<string>",
"type": "<string>",
"id": "<string>"
}
]
}
}
},
"responseFormat": {
"type": "json_schema",
"json_schema": {
"name": "<string>",
"schema": {}
}
}
}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.
^[a-z0-9_-]+(?:\/[a-z0-9_-]+)?$ORGANIZATION, PROJECT Show child attributes
Show child attributes
Show child attributes
1.0 1Success
ORGANIZATION, PROJECT Show child attributes
Show child attributes
1Show child attributes
1Show child attributes
Show child attributes
Show child attributes
Show child attributes
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