Enterprise observability for Generative AI

Centralize control, monitor AI token consumption, and secure LLM credentials across your organization with the OpenLM AI Proxy.

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Core capabilities for AI token monitoring and governance

Precise token attribution

  • Automatically intercept and parse every LLM request
  • Capture input and output tokens, model types, and response latency to establish a granular audit trail of AI consumption

Unified governance

  • Consolidate access to Google Gemini (Vertex), Anthropic (Claude), and OpenAI through a single gateway
  • Standardize how internal apps and CLI tools communicate with AI providers

Benefits for end-users

  • Viewing specific user information via the Workstation Agent to help locate users holding a required license
  • Authenticating to OpenLM’s interface via Windows Authentication.

Integrated with your existing AI workflow

OpenLM AI Proxy is built to fit into professional development environments without disrupting productivity.

Claude Code CLI support

Developers using Claude Code CLI can route traffic through the OpenLM AI Proxy by updating their endpoint configuration. This ensures that even “under-the-hood” terminal usage is accounted for in corporate token budgets.

* Subscription monitoring for Cursor and Claude Pro is handled via OpenLM SaaS Agent integration.

Edge-based deployment and data security

The AI Proxy is delivered as a lightweight Docker container. It sits within your infrastructure, ensuring low-latency processing and keeping your data flow compliant with internal security policies. It streams usage events directly to the OpenLM Broker Hub via a high-frequency Kafka pipeline.

Measurable business outcomes of monitoring AI token usage

Drive operational efficiency and financial accountability across your AI infrastructure.

Precise chargeback accuracy

  • Transition from estimated costs to factual attribution 
  • Map AI expenditures directly to departments, cost centers, or specific project IDs based on actual token volume

Performance and SLA benchmarking

  • Identify high-latency models or underperforming providers
  • Use data-driven insights to switch between LLMs (e.g., Gemini vs. Claude) based on real-world response times within your network. 

Proactive cost avoidance

  • Prevent budget overruns before they happen. 
  • Establish strict consumption thresholds to automatically flag or throttle “runaway” automated processes and unauthorized heavy usage. 

Frequently asked questions (FAQ)

Does the Proxy store my prompt data?

The Proxy is designed for metadata extraction (tokens, models, latency). Sensitive prompt content is handled according to your configured privacy levels and is not stored in the OpenLM reporting database.

While the Proxy manages API-based traffic, our SaaS Agent provides parallel monitoring for seat-based subscriptions (Claude Pro/Cursor), giving you a 360-degree view of your AI investment.

The AI Proxy connects via the Broker Hub. It is a specialized component built for the unique streaming requirements of LLM traffic.

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