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/gateway/v1/providers"
headers = {"X-Auth-Token": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text){
"data": [
{
"id": "<string>",
"model_provider_id": "<string>",
"model_provider_name": "<string>",
"slot": "<string>",
"rate_limit_rpm": 123,
"rate_limit_tpm": 123,
"rate_limit_rpd": 123,
"rotation_policy": "<string>",
"fallback_priority_global": 123,
"health_status": "<string>",
"disabled_at": "<string>",
"created_at": "<string>"
}
]
}Lists every gateway-bound model-provider credential for the caller’s project, including health and rate-limit settings.
import requests
url = "https://app.langwatch.ai/api/gateway/v1/providers"
headers = {"X-Auth-Token": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text){
"data": [
{
"id": "<string>",
"model_provider_id": "<string>",
"model_provider_name": "<string>",
"slot": "<string>",
"rate_limit_rpm": 123,
"rate_limit_tpm": 123,
"rate_limit_rpd": 123,
"rotation_policy": "<string>",
"fallback_priority_global": 123,
"health_status": "<string>",
"disabled_at": "<string>",
"created_at": "<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.
Was this page helpful?