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Terminology

Terminology

Core terms for Agent Lab, traces, training, and optional advanced platform features.

Agent Lab

TermDefinition
Agent LabThe dashboard workflow for running local agents, viewing traces, and exporting training data.
Local runAn inference call to Ollama via /api/local/run or the Run agent UI. Cost is $0.
TraceA stored record of one AI run: prompt, response, model, tokens, latency, and metadata.
Action nameA label on a trace (e.g. agent_lab_run, agent_chat) used to filter training exports.
Coach sessionA paired local draft + optional paid review. Both runs are traced.
Training exampleA completed trace with prompt and response, used for JSONL export or Ollama model build.
Coach pickA trace marked trainingPreferred: true after you choose local or coach version.
Curated exportJSONL download filtered to coach picks only (curatedOnly=1).

What a trace contains

TermDefinition
PromptThe user input for that run (or last user turn in chat).
ResponseThe model output stored on the trace.
Execution recordPer-run metrics row linked to a trace (tokens, latency, estimated cost).
IngestSaving a trace via Agent Lab APIs, coach APIs, or POST /api/traces / SDK.

Local runs set estimatedCostUsd: 0. Paid coach or cloud provider runs store actual estimated cost when available.


Training

TermDefinition
JSONL exportDownload of prompt/response pairs in OpenAI messages or Alpaca instruction format.
ModelfileOllama format built from traces (FROM, SYSTEM, MESSAGE pairs) for ollama create.
Base modelThe Ollama model you extend when building from traces (e.g. llama3.2).

Advanced platform (optional)

These apply when you ingest production traffic or enable compliance features — not required for Agent Lab.

TermDefinition
GovernancePolicy checks and risk heuristics on ingested traces.
VerificationSHA-256 integrity checks on stored execution records.
Audit VaultLong-term audit event storage and export for compliance workflows.
Cost intelligenceSpend and token analytics across providers and workflows.

See Governance Engine and Verification Layer for details.


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