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About
AgentOps is a comprehensive developer platform designed to help engineers build, monitor, and deploy production-grade AI agents and LLM applications with confidence. It integrates natively with top agent frameworks including OpenAI, CrewAI, and Autogen, as well as 400+ LLMs, via a simple SDK installable with a single pip command. The platform provides powerful visual observability, allowing developers to track every LLM call, tool usage, and multi-agent interaction in real time. Its standout Time Travel Debugging feature enables engineers to rewind and replay agent runs at any point in time, dramatically simplifying root cause analysis. A full audit trail of logs, errors, and prompt injection attacks ensures security and reliability from prototype to production. AgentOps also offers robust cost management tools — tracking token counts and spend across multiple agents with up-to-date pricing data. Developers can even leverage saved completions to fine-tune specialized LLMs at up to 25x lower cost. Pricing is flexible: a free tier covers up to 5,000 events per month, a Pro plan starts at $40/month for unlimited events and log retention, and Enterprise plans offer SLA, custom SSO, on-premise deployment, and compliance certifications (SOC-2, HIPAA, NIST AI RMF). AgentOps is trusted by 4,000+ engineers and also offers expert consulting to help teams build and scale enterprise-grade agents.
Key Features
- Agent Observability: Visually track every LLM call, tool usage, and multi-agent interaction in a unified dashboard for full runtime visibility.
- Time Travel Debugging: Rewind and replay any agent run with point-in-time precision, making it easy to diagnose and fix unexpected behaviors.
- Debug & Audit Trail: Maintain a complete log of errors, events, and prompt injection attacks from development all the way to production.
- LLM Cost & Token Tracking: Monitor token counts and spending across multiple agents with up-to-date pricing for 400+ LLMs to keep costs under control.
- Fine-Tuning on Saved Completions: Fine-tune specialized LLMs up to 25x cheaper by leveraging completions already captured by the AgentOps SDK.
Use Cases
- Debugging complex multi-agent pipelines by replaying past runs step-by-step to identify where failures or unexpected behaviors occurred.
- Monitoring LLM API costs and token usage across multiple agents to optimize spending and avoid budget overruns in production.
- Auditing AI agent behavior in regulated industries by maintaining a complete, tamper-evident log of all actions, prompts, and responses.
- Fine-tuning domain-specific LLMs cost-effectively by reusing completions already captured during normal agent operation.
- Onboarding engineering teams to a shared observability layer that provides visibility into every stage of the AI agent development lifecycle.
Pros
- Generous Free Tier: The free plan supports up to 5,000 events per month, making it accessible for individual developers and small projects without upfront cost.
- Broad Framework Support: Native integrations with 400+ LLMs and major agent frameworks (OpenAI, CrewAI, Autogen) minimize setup friction and maximize compatibility.
- Production-Ready Compliance: Enterprise plans include SOC-2, HIPAA, and NIST AI RMF certifications, plus on-premise deployment options for regulated industries.
- Unique Time Travel Debugging: The ability to replay agent runs at any historical point is a rare and highly valuable capability that significantly speeds up debugging cycles.
Cons
- Free Tier Event Cap: The free plan is limited to 5,000 events per month, which may be quickly exhausted in active development or testing environments.
- Cost at Scale: The Pro plan starts at $40/month on a pay-as-you-go basis, and costs can escalate for high-volume agent workloads without careful monitoring.
- Primarily Developer-Focused: The platform is built for engineers and may not be accessible to non-technical stakeholders who want to monitor agent performance.
Frequently Asked Questions
What is AgentOps?
AgentOps is a developer platform for observing, debugging, and deploying AI agents and LLM applications. It provides tools for tracking LLM calls, agent interactions, costs, and errors across the entire agent lifecycle.
Which AI frameworks does AgentOps support?
AgentOps natively integrates with OpenAI, CrewAI, Autogen, and over 400 other LLMs and agent frameworks via its SDK, which can be installed with a single `pip install agentops` command.
How does Time Travel Debugging work?
Time Travel Debugging allows you to rewind and replay any past agent run with point-in-time precision. This makes it easy to reproduce issues, inspect the exact state of an agent at any moment, and identify the root cause of failures.
What does the free plan include?
The free Basic plan is $0/month and includes up to 5,000 events, an agent-agnostic SDK, LLM cost tracking for 400+ LLMs, and replay analytics.
Is AgentOps suitable for enterprise use?
Yes. AgentOps offers an Enterprise plan with SLA guarantees, Slack Connect, custom SSO, on-premise deployment (AWS, GCP, Azure), custom data retention, and compliance certifications including SOC-2, HIPAA, and NIST AI RMF.
