LangSmith specialists for your dedicated team.
LangSmith is an observability and evaluation platform for language model applications, capturing traces of every call, storing datasets, running evaluations and collecting feedback against production traffic.
Where LangSmith fits in a long-term product team.
Tracing is what makes a non-deterministic system debuggable. Seeing the exact prompt sent, the retrieved documents, the tokens consumed and the response returned for a specific failing request is the difference between diagnosing a problem and speculating about it.
Building datasets from production traces is the most valuable workflow it enables. Real failures become test cases directly, so the evaluation suite reflects what goes wrong in production.
In practice the platform becomes the shared language between engineers and product owners. A failing conversation is linked from a ticket, everyone sees the same trace, and the fix is checked against the dataset before it ships. Access rules matter too: traces contain whatever users typed, so retention periods, redaction and who can open production traces are agreed with your team at the start, the same way any other store of personal data would be.
What your dedicated team does with LangSmith.
Traces contain user input, which means they contain personal data. Retention, access control and redaction need deliberate design, particularly under GDPR.
Treating observability data with the same care as any other personal data is a standard held by the assigned specialists, as set out in how an assignment runs.
Common LangSmith use cases.
- Failures diagnosed from the trace The exact prompt, context and response for a specific request, recorded as it happened.
- Test sets built from production Real failures captured as cases, so evaluation reflects reality.
- Trace data handled as personal data Retention and redaction designed, because user input is in every trace.
Adding LangSmith skills to your team.
LLM observability sits with the AI engineers on your team, with data protection for trace content designed in.
At Azendo, LangSmith work sits with a dedicated AI engineering team. LangSmith specialists join your team remotely as dedicated, full-time team members, selected, employed and managed by us in Chiang Mai and Bangkok. Companies that hire offshore developers through Azendo add the skill at the next monthly cycle.
Tell us what your roadmap needs LangSmith for.
A service delivery manager will reply with the specialists we'd suggest, the monthly capacity and what the first month looks like.
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