Maintain absolute visibility over your Netora deployment from a single interface. The administration home dashboard delivers real-time telemetry on System Health and operational throughput, including the total number of active sessions generated by the platform. Administrators can continuously monitor Agent Learnings and the status of Prompt Logs to audit execution accuracy. For rapid administration, the Quick Actions interface provides direct routing to critical control planes: user management, agent learning configurations, and core system settings.


Maintain complete visibility over how your organization interacts with the AI. The Sessions module provides administrators with a centralized, unfiltered view of all active and historical chat histories across every user. This global oversight empowers engineering leads to track user intent, ensure adherence to operational protocols, and rapidly identify the context of any requested infrastructure change.

Diagnose complex workflows with absolute certainty. The Prompt Logs layer exposes the raw, underlying data exchange between Netora's agents and your network systems. Administrators can inspect the unedited responses generated by the AI, alongside the exact payloads executed by integrated tools and APIs. By surfacing this deep forensic insight, NetOps teams can validate decision-making accuracy and troubleshoot backend integrations directly, eliminating the "black box" effect.

Secure your infrastructure by enforcing the principle of least privilege. The user administration module provides strict, granular control over system access. Administrators can explicitly assign read-only, read-write, or zero-access permissions scoped to individual operational agents. This ensures that operators only interact with authorized systems—whether querying NetBox, modifying Infoblox records, or executing automated tasks across ServiceNow, AWX, and core network devices—minimizing operational risk.

Move beyond rigid, one-size-fits-all interfaces. The platform allows administrators to define an operator's technical background and domain expertise using a simple natural language description. Netora dynamically parses this profile to modulate its conversational layer. By automatically adjusting the technical depth, complexity, and verbosity of its output, the AI ensures that responses are perfectly calibrated to the specific proficiency level of the engineer operating the system.
Operating AI at an enterprise scale requires strict resource accounting. The Token Metrics dashboard delivers granular visibility into the platform's underlying LLM consumption and efficiency.
Administrators can monitor overall token throughput, track average and maximum input sizes, and proactively identify execution paths that are approaching critical context window limits (Near Limit > 80%). By providing detailed consumption breakdowns at both the individual request and aggregated session levels, this module empowers infrastructure teams to audit API usage, optimize agent prompt efficiency, and prevent capacity bottlenecks during complex network operations.

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