Get started with LangWatch Skills in seconds: Set up evals, scenario tests, and tracing just by asking your AI coding assistant.
Traces
Datasets
- Overview
- GETList all non-archived datasets for the project
- POSTCreate a new dataset
- POSTCreate a new dataset from an uploaded file
- GETGet a dataset by its slug or id
- GETList records for a dataset
- PATCHUpdate a dataset by its slug or id
- PATCHUpdate or create a record in a dataset
- POSTAdd dataset entries programmatically using the LangWatch API to build evaluation sets for LLM testing and agent validation.
- POSTCreate records in a dataset in batch
- POSTUpload a file
- DELArchive a dataset
- DELDelete records from a dataset by IDs
Evaluators
Built-in Evaluators
Evaluations v3
Monitors
Prompts
Annotations
Scenarios
Scenario Events
Simulation Runs
Suites
Agents
Triggers
Workflows
Dashboards
Graphs
Analytics
Secrets
Projects
Gateway: Virtual Keys
Gateway: Provider Bindings
Gateway: Budgets
Python
import requests
url = "https://app.langwatch.ai/api/dataset/{slugOrId}"
payload = { "name": "<string>" }
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text)Datasets
Update a dataset by its slug or id
Update a dataset by its slug or id
PATCH
/
api
/
dataset
/
{slugOrId}
Python
import requests
url = "https://app.langwatch.ai/api/dataset/{slugOrId}"
payload = { "name": "<string>" }
headers = {
"X-Auth-Token": "<api-key>",
"Content-Type": "application/json"
}
response = requests.patch(url, json=payload, headers=headers)
print(response.text)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.
Authorizations
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.
Path Parameters
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