#go #aws #cloud #azure #terraform #gcp #infrastructure_as_code #cost_estimation #cost_optimization #cost_management #terraform_cost_estimation #monthly_costs #cloud_cost_estimates

https://github.com/infracost/infracost

#typescript #aws #azure #cloud_cost_estimates #cost_estimation #cost_management #cost_optimization #finops #gcp #google #infrastructure_as_code #terraform #terraform_cost_estimation

https://github.com/infracost/vscode-infracost

#python #agent #agentops #agents_sdk #ai #anthropic #autogen #cost_estimation #crewai #evals #evaluation_metrics #groq #langchain #llm #mistral #ollama #openai #openai_agents

AgentOps is a tool that helps developers monitor and improve AI agents. It provides features like session replays, cost management for Large Language Models (LLMs), and security checks to prevent data leaks. This platform allows you to track how your agents perform, interact with users, and use external tools. By using AgentOps, you can quickly identify problems, optimize agent performance, and ensure compliance with safety standards. It integrates well with popular platforms like OpenAI and AutoGen, making it easy to set up and use[1][3][5].

https://github.com/AgentOps-AI/agentops