Trace to dataset
Turn production agent traces into datasets
The best seed material often comes from real agent runs. DataSmith ingests OTLP JSON and span JSONL locally for training export. AgentClash imports traces into workspace datasets for eval baselines and CI gates.
Candidate
Baseline
Control
replay timeline
ci verdict
Correctness improved, latency within budget, and required artifacts were preserved for review.
agentclash run create --follow
Two paths from traces
Built for reviewable agent decisions
Training teams use DataSmith ingest-otel for SFT and DPO pipelines. Platform teams use AgentClash trace import to promote production failures into regression coverage.
OpenTelemetry-compatible trace import
Pinned datasets and golden test cases
Baseline versus candidate regression checks
Replay trails for tool calls, outputs, and artifacts
Scorecards for correctness, cost, latency, and evidence
CI gates for prompt, model, RAG, and tool changes
Workflow
Trace ingestion workflow
Import the evidence
Start from OpenTelemetry traces, curated datasets, support transcripts, or a real failure your team already saw.
Pin the baseline
Record the current accepted behavior so every prompt, model, RAG, or tool change has a fair comparison point.
Replay the evidence
Inspect tool calls, outputs, artifacts, latency, cost, and judge evidence when a candidate gets worse.
Gate the release
Compare candidate and baseline runs, then fail CI before a regression reaches users.
Ingest traces
Bring your first workload into the loop
Start with one exported trace bundle, convert to seeds or candidates, then expand with Agentic Self-Instruct generation.
Agent evals
Real-task agent evals with replay evidence and CI gates.
LLM agent evaluation
Evaluate LLM agents on full trajectories, not one-shot answers.
Compare tools
See how AgentClash differs from prompt-eval platforms.
DataSmith OTLP docs
Local trace ingestion reference.
Synthetic data generation
Expand seeds with weak-vs-strong generation.
Agent regression testing
Gate releases on trace-derived coverage.
Datasets overview
Import examples, record baselines, sync regression suites, and gate CI.
Dataset CI gates
Fail builds when a candidate regresses against a pinned baseline.
FAQ
Trace to dataset FAQ
What trace formats does DataSmith support?
OTLP JSON exports and flattened span JSONL. See the DataSmith docs/otel.md guide for field expectations.
Does AgentClash import the same traces?
AgentClash supports OTel-compatible trace import into workspace datasets for eval and regression workflows, complementary to DataSmith training export.
Should traces become seeds or finished examples?
Usually seeds. Run Agentic Self-Instruct afterward to expand grounded, judge-filtered examples rather than training on raw spans alone.