AgentOps

What It Does

AgentOps is a comprehensive developer platform designed specifically for building, debugging, and deploying reliable AI agents and LLM applications. It provides full observability into agent behavior, enabling developers to trace, monitor, and optimize their AI systems from prototype to production. With native integrations for OpenAI, CrewAI, Autogen, and 400+ LLMs and frameworks, AgentOps serves as the control center for modern agentic AI development.

Who It's For & Problem Solved

AgentOps targets engineers and teams building autonomous AI agents and LLM-powered applications who struggle with the opacity and unpredictability of agent behavior in production. Traditional development tools lack the specialized observability needed for multi-step agent workflows, making it difficult to debug failures, audit decision-making, or manage costs across complex agent interactions. AgentOps solves this by providing purpose-built infrastructure for agent development.

Key Features & Capabilities

• Visual Event Tracking: Monitor LLM calls, tool usage, and multi-agent interactions in real-time with intuitive visualization • Time Travel Debugging: Rewind and replay agent runs with point-in-time precision for root cause analysis • Complete Audit Trail: Maintain comprehensive logs of errors, prompt injection attacks, and agent decisions from development through production • Cost Management: Track token counts and spending across all agents with up-to-date pricing for 400+ LLMs • Fine-tuning Optimization: Reduce costs up to 25x by fine-tuning specialized models on saved completions • Universal SDK: Single integration supporting all major agent frameworks and LLM providers

Typical Workflows

Developers integrate AgentOps with a simple pip install agentops command, immediately gaining visibility into their agent's execution. Teams use the dashboard to identify performance bottlenecks, review decision-making pathways, export session data for analysis, and monitor production costs in real-time. The platform scales from individual prototypes to enterprise deployments with role-based permissions and custom retention policies.

What Sets It Apart

AgentOps has tested over 400 agents and offers both the observability platform and consulting services to help teams scale to production. With SOC-2, HIPAA, and NIST AI RMF compliance options, on-premise deployment capabilities, and dedicated enterprise support, it's built for serious AI development at any scale.