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About
AgentOps is a purpose-built observability and operations platform for AI agent developers. It gives engineering teams a comprehensive toolkit to trace, debug, and reliably ship LLM-powered agents at scale. With a single SDK installation, developers gain instant visibility into every LLM call, tool invocation, and multi-agent interaction through a visual dashboard. One of its standout capabilities is Time Travel Debugging, which lets developers rewind and replay agent runs with point-in-time precision — making it dramatically easier to identify root causes of failures. AgentOps also maintains a full audit trail of logs, errors, and prompt injection attacks, supporting compliance and security needs from development through production. On the cost management side, AgentOps tracks token consumption and spend across 400+ supported LLMs, providing up-to-date pricing data and visual spend dashboards. Saved completions can also be used to fine-tune specialized models at up to 25x lower cost. AgentOps integrates natively with major agent frameworks like OpenAI Assistants, CrewAI, and Autogen, making onboarding fast for most teams. Pricing starts at a free tier (up to 5,000 events/month) and scales through a Pro plan ($40/month) and custom Enterprise packages that include SLA guarantees, SSO, on-premise deployment, and compliance with SOC-2, HIPAA, and NIST AI RMF standards. It is ideal for developers, AI startups, and enterprises building production-grade AI agents.
Key Features
- Visual Agent Observability: Track every LLM call, tool use, and multi-agent interaction through an intuitive visual dashboard in real time.
- Time Travel Debugging: Rewind and replay agent runs with point-in-time precision to diagnose failures and unexpected behaviors accurately.
- Cost & Token Tracking: Monitor token consumption and spending across 400+ supported LLMs with up-to-date pricing data and visual cost dashboards.
- Audit Logs & Security: Maintain a full data trail of logs, errors, and prompt injection attack detection from prototype through production.
- Fine-Tuning on Saved Completions: Use captured LLM completions to fine-tune specialized models at up to 25x lower cost compared to standard fine-tuning workflows.
Use Cases
- Debugging a multi-agent workflow by replaying a failed run step-by-step to identify which LLM call or tool invocation caused unexpected behavior.
- Tracking and reducing LLM API spending across multiple agents by monitoring per-token costs and visualizing spend trends over time.
- Auditing AI agent interactions for compliance, logging all prompts, completions, and errors to satisfy security and regulatory requirements.
- Integrating observability into a CrewAI or Autogen project using the AgentOps SDK to gain instant visibility without changing core agent logic.
- Fine-tuning a specialized LLM on captured completions from production agents to improve performance at a fraction of the standard training cost.
Pros
- Generous Free Tier: The free plan supports up to 5,000 events per month, making it accessible for solo developers and small teams to get started at no cost.
- Broad Framework & LLM Support: Native integrations with 400+ LLMs and top agent frameworks like OpenAI, CrewAI, and Autogen minimize setup friction for most teams.
- Unique Time Travel Debugging: The ability to replay agent runs at any point in time is a rare capability that significantly speeds up root-cause analysis for complex agent bugs.
- Enterprise-Grade Compliance: Enterprise plans support SOC-2, HIPAA, NIST AI RMF, custom SSO, and on-premise deployment for security-conscious organizations.
Cons
- Paid Plans Can Add Up: The Pro plan starts at $40/month on a pay-as-you-go model, and costs can escalate quickly for teams generating high event volumes.
- Developer-Focused Tool: AgentOps is primarily designed for developers and engineering teams — non-technical users or no-code builders may find the SDK-based setup challenging.
- Event Limit on Free Tier: The free tier caps usage at 5,000 events per month, which may be insufficient for teams running frequent or complex agent workflows in testing.
Frequently Asked Questions
What is AgentOps?
AgentOps is a developer platform for AI agent observability, debugging, and deployment. It provides tools to trace LLM calls, replay agent runs, monitor costs, and maintain audit logs across 400+ supported LLMs and frameworks.
Which AI frameworks does AgentOps support?
AgentOps natively integrates with OpenAI, CrewAI, Autogen, and over 400 other LLMs and agent frameworks, enabling quick setup regardless of your tech stack.
How does Time Travel Debugging work?
Time Travel Debugging allows you to rewind a specific agent run to any point in time and replay it step by step. This makes it easier to isolate where an agent went wrong without having to re-run the entire workflow.
What does the free plan include?
The free Basic plan includes up to 5,000 events per month, an agent-agnostic SDK, LLM cost tracking for 400+ models, and replay analytics — all at no cost.
Is AgentOps suitable for enterprise deployments?
Yes. The Enterprise plan supports on-premise deployment (AWS, GCP, Azure), custom SLAs, SOC-2 and HIPAA compliance, NIST AI RMF alignment, custom SSO, and a dedicated Slack Connect channel for support.
