LangSmith
by LangChain
LangChain platform for tracing, evaluating and monitoring LLM apps and agents, with an API for runs, datasets and feedback.
- Category
- Cloud & Data Platforms
- Type
- LLM observability
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key
02Data
What you can sync.
- Runs
- Traces
- Datasets
- Feedback
- Projects
Load LangSmith runs into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other LangSmith data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
LangSmith uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in LangChain if you need help.
04How it works
How it works in DataMind.
-
Pick LangSmith.
Open Lake, pick LangSmith in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the LangSmith API docs.
-
Answer a few questions.
The AI reads the LangSmith documentation, then asks which credentials you will use, which data to sync (for example runs and traces), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then LangSmith data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
