Stop Runaway LLM Spend: AI Agent Cost Control (Python)

1. 1Install AgentGuard using pip: 'pip install agentguard'
2. 2Import AgentGuard in your Python script: 'import agentguard'
3. 3Set budget limits using 'agentguard.set_budget_limit()' to prevent overspending
4. 4Configure token limits with 'agentguard.set_token_limit()' to control API usage
5. 5Enforce time limits using 'agentguard.set_time_limit()' to prevent agents from running indefinitely

Data scientists, machine learning engineers, and AI researchers can benefit from using AgentGuard to manage their AI agent costs and prevent unexpected expenses, ensuring efficient experimentation and model development.

💡 AgentGuard provides a simple and effective way to enforce budget, token, time, and rate limits on AI agents, preventing unexpected expenses and ensuring efficient model development.

🚀 Control AI agent costs with AgentGuard! 🚀 Prevent runaway spend and ensure efficient experimentation with this Python SDK. #AI #LLM #AgentGuard