Upload, browse, and inspect agent traces in Stratix Premium.
Available in Stratix Premium. This surface is part of the logged-in workspace at stratix.layerlens.ai. Stratix Public users can browse the catalog but cannot use this feature.
The Traces surface ingests agent run records and lets you inspect them in detail. URL: stratix.layerlens.ai/dashboard/agent-evaluation/traces.
Upload a trace JSON file (single trace or batch)
Stream traces in via the SDK or API
Browse all traces in your org
Filter by date, name, tag, status
Inspect a single trace's full span tree, inputs, outputs, latencies, costs, errors
Tag and annotate traces
Minimum:
{
"id": "trace-123",
"name": "answer-question",
"inputs": {"prompt": "What's the capital of France?"},
"outputs": {"response": "Paris."},
"spans": [
{"name": "llm-call", "kind": "llm", "model": "claude-opus-4-7",...},
{"name": "tool-call", "kind": "tool", "tool": "lookup_country",...}
]
}Stratix preserves any additional fields. The trace inspector renders metadata, spans, and any custom fields.
The trace page shows:
Inputs and outputs at the top level
Span tree with timing and cost rolled up per span
Per-span details (kind, model, inputs, outputs, errors)
Tags and annotations
For continuous evaluation, stream traces via the SDK:
See the SDK reference for batch ingestion patterns.
Group traces into a dataset — a named, versioned collection — to make them the reusable input to a trace evaluation. Create one from any filtered trace list, upload traces from a file, or generate synthetic traces when you don't have enough real ones yet.
Datasets — create, version, and evaluate collections of traces
Synthetic data — generate realistic multi-agent trace datasets from scratch
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from layerlens import Stratix
client = Stratix()
client.traces.create(id=..., name=..., inputs={...}, outputs={...}, spans=[...])