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AgentRadar

Track all your AI Agents activity with just one line of code

AgentRadar provides deep visibility into the execution of agent-based systems. Key features include: * Track agent executions and tool calls * Monitor large language model inferences * Analyze token usage and latency * Pinpoint errors and performance bottlenecks * Visualize data on a web-based dashboard This Python SDK simplifies the observation of complex agent operations, offering detailed insights with minimal setup. It allows developers to understand precisely how their agent systems are performing, identifying areas for optimization and debugging. The platform captures critical metrics such as call timelines, execution paths, and resource consumption, providing a comprehensive overview of each agent's activity. Designed for developers building and maintaining advanced agent systems, AgentRadar ensures transparency and control. Integration is straightforward, requiring almost no code changes, and its lightweight design guarantees negligible impact on system latency. It supports flexible metadata tracking, enabling users to customize the data they monitor. Ideal for engineers and researchers who need robust monitoring for their agent deployments, ensuring reliable operation and performance tuning. Gain complete oversight of agent interactions and system behavior.
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Over 20000 results
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