Autonomous agents run at scale - and cost accordingly.
Get more 'bang for the buck' when running agents on AWS Bedrock, Microsoft Foundry and Gemini Enterprise Agent Platform. Unattended agents multiply small inefficiencies across thousands of runs.
Cheaper LLM model
Cheaper models can offer similar performance
Evaluation-based recommendations to downgrade the model used by the agent.
Configuration posture
Simple configuration changes can save real money
Deferred tool loading, caching settings, and other configuration adjustments save money without impacting agentic performance.
Unused resources
Detect and remove unused resources
Removing unused elements from each input to the LLM reduces cost, without impacting the business workflow.
