Agent Ops

AgentOps is a developer platform for building AI agents and LLM apps with better reliability. If you’re working with agent frameworks and want to see what happened during an LLM or tool call, it gives you tracing, debugging, and deployment-grade audit trails.

It’s designed for engineers and teams building agent workflows on platforms like OpenAI, CrewAI, and Autogen, plus many other LLMs and frameworks. It tracks activity across multi-agent runs and keeps details you can use to troubleshoot failures and review behavior.

• Event tracing Visualize LLM calls, tool use, and multi-agent interactions
• Time travel debugging Rewind and replay agent runs with point-in-time precision
• Debug and audit logs Maintain a data trail of logs, errors, and prompt injection attacks
• Agent-agnostic SDK Use one SDK across supported agent frameworks
• Spending and token tracking Track token counts and monitor agent cost with up-to-date price monitoring across 400+ LLMs
• Replay analytics Analyze prior runs to understand what went wrong (and why)
• Export and retention options Support longer-term retention, exporting sessions and events, and permissions for teams

What stands out is the combination of traceability and replay, plus cost visibility. You can correlate errors and incidents back to the exact run data, then pair that with token and spend metrics across multiple agents. The platform also offers different service levels, including free use for early development and paid tiers that add higher event limits, longer log retention, support, and enterprise controls like SSO and self-hosting.