Context Learning
Context learning analyzes an agent’s attached sources and creates a context-aware operating brief. It helps the agent answer from the actual domains, endpoints, and constraints it is responsible for.What Learning Produces
Context learning can produce:- Markdown operating brief.
- Summary of what the agent covers.
- Domains and capabilities.
- Per-source focus notes.
- Coverage notes.
- Cautions and guardrails.
- Tuned persona.
- Tuned runbook instructions.
- Greeting message.
- Confidence threshold suggestions.
- Custom guardrails.
Statuses
| Status | Meaning |
|---|---|
| Idle | No learning run is pending or ready. |
| Pending | The agent has context and is waiting for a learning run. |
| Ready | A learned profile is available. |
| Failed | The learning run failed; review the operator-readable error and retry. |
Run Learning
Tune or re-tune
Run learning. Woes samples attached sources and generates a grounded operating brief.