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AgentOps
AgentOps is a developer observability platform for building, debugging, and monitoring AI agents and LLM applications.
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Our verdict
Who it's for
Monitor, evaluate, and improve your AI agents with comprehensive observability.
Who should look elsewhere
Paid plans may be steep for solo developers
Pros
- +Time-travel debugging is genuinely unique for agent development
- +Supports a wide range of models with framework-agnostic SDK
- +Free tier with 5,000 events covers hobby and early-stage use
- +Comprehensive audit trails meet enterprise compliance needs
- +Clean dashboard with intuitive event visualization
Cons
- −Paid plans may be steep for solo developers
- −Enterprise features like SSO and on-prem require custom pricing
- −Agent observability is a nascent category, tooling evolves fast
- −Documentation could be more comprehensive for advanced use cases
Key features
- ✓Visual event tracking for LLM calls and tool interactions
- ✓Time-travel debugging to replay agent runs step by step
- ✓Complete audit trail of logs, errors, and security threats
- ✓Token usage and cost monitoring across multiple agents
- ✓Support for 400+ LLMs including OpenAI, Anthropic, and open-source
- ✓Fine-tuning pipelines for specialized model training
- ✓Multi-agent interaction tracing and visualization
- ✓SDK integrations for CrewAI, Autogen, LangChain, and more
Pricing
No public pricing plans recorded.
Integrations
Slack