Agentops
Agentops is an AI tool that provides analytics and debugging capabilities for AI agents, offering graphs, monitoring, and replay analytics.
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What is Agentops?
AgentOps is a developer platform for testing, debugging, and deploying AI agents and LLM applications. It provides comprehensive observability and monitoring for AI agent workflows with minimal implementation effort—just two lines of code using import agentops and agentops.init(). The platform captures data on every agent interaction, not just LLM calls, providing a complete view of how multi-agent systems operate.
Key features include session replay that tracks LLM calls, tools, and multi-agent interactions visually; time travel debugging that allows developers to rewind and replay agent runs with point-in-time precision; and cost tracking that monitors token usage, expenses, and fine-tuning costs across agents. The dashboard provides multiple visualization views including session list, timeline view, tree view, message view for detailed LLM interactions, and analytics with aggregated metrics. AgentOps supports over 400 LLMs and integrates natively with top agent frameworks including CrewAI, AutoGen, AG2, LangChain, OpenAI Agents SDK, Agno, Google ADK, Haystack, and Smolagents.
AgentOps is designed for engineers and developers building AI agents who need to take their agents from prototype to production. It is trusted by leading companies like Microsoft, IBM, Samsung, Fujitsu Research, Meta, and Google, supporting thousands of engineers globally. The platform is agent-agnostic, meaning it works with any agent framework, and the AgentOps app is open source with code available on GitHub. It also offers TypeScript/JavaScript SDK support for Node.js projects.
Agentops pricing
Pricing model: Freemium
AgentOps offers three pricing tiers. Basic is free at $0 per month with up to 5,000 events and includes Agent Agnostic SDK, LLM Cost Tracking for 400+ LLMs, and Replay Analytics. Pro starts at $40 per month with pay-as-you-go options (see pricing calculator) and includes everything in Basic plus Unlimited event limit, Unlimited log retention, Session and event export, Dedicated Slack and email support, and Role-based permissioning. Enterprise starts at Custom pricing and includes everything in Pro plus SLA, Slack Connect, Custom SSO, On-premise deployment, Custom data retention policy, Self-hosting (AWS, GCP, Azure), and compliance certifications (SOC-2, HIPAA, NIST AI RMF).
Agentops pros
- Simple 2-line code setup for basic monitoring
- Support for over 400 LLM providers
- Native integrations with 10+ top agent frameworks
- Session replay with visual tracking of LLM calls and tools
- Time travel debugging with point-in-time precision
- Comprehensive cost tracking across multiple agents
- Token usage monitoring and visualization
- Fine-tuning support up to 25x cheaper on saved completions
- Agent-agnostic SDK works with any framework
- Open source dashboard application on GitHub
- Both Python and TypeScript/JavaScript SDK available
- Automatic instrumentation without manual tracking
- Hierarchical span structure for complete execution traces
- Multiple dashboard views including timeline and tree views
- Tracks prompt injection attacks and errors from prototype to production
- Host environment auto-collection for OS and Python version
- Tags for organizing and filtering sessions
- Unlimited log retention on Pro plan
- Self-hosting option on AWS, GCP, Azure for Enterprise
Agentops cons
- Basic plan limited to 5,000 events per month
- Pro plan starts at $40/month which may be expensive for individuals
- Enterprise pricing is custom and requires sales contact
- Primarily Python-focused with TypeScript as secondary support
- No built-in AI agent building capabilities
- Requires API key and internet connection for dashboard
- Limited to observability, not agent execution environment
- Dedicated Slack support only on Pro plan
- On-premise deployment requires Enterprise plan
Frequently asked questions about Agentops
What is AgentOps and what does it do?
AgentOps is the developer favorite platform for testing, debugging, and deploying AI agents and LLM apps. It provides observability and monitoring for your AI agents and LLM applications, visually tracking events such as LLM calls, tools, and multi-agent interactions. With just two lines of code using the Python SDK, you can log everything to your AgentOps Dashboard for comprehensive analysis.
How do I integrate AgentOps with my agent framework?
AgentOps integrates natively with top agent frameworks including OpenAI Agents SDK, CrewAI, AG2, AutoGen, Anthropic, Ollama, Cohere, Groq, Google ADK, Haystack, LangChain, Agno, Smolagents, and more. Installation is simple with pip install agentops, then initialize with import agentops and agentops.init(API_KEY). The SDK automatically instruments your code and starts tracking traces without manual instrumentation for every call.
What LLM providers does AgentOps support?
AgentOps supports over 400 LLMs including major providers like OpenAI, Anthropic, Google Generative AI (Gemini), LiteLLM, IBM Watsonx.ai, x.AI (Grok), and Mem0. The platform provides LLM cost tracking for all 400+ LLMs with up-to-date price monitoring, allowing you to track, save, and monitor every token your agent sees across multiple providers.
How does time travel debugging work in AgentOps?
Time travel debugging in AgentOps allows you to rewind and replay agent runs with point-in-time precision. The Session Waterfall visualization shows a time-based view of all your LLM calls, Action events, Tool calls, and Errors on the left side. On the right side, you get specific details about any selected event, including the exact prompt and completion for LLM calls. This lets you understand exactly what happened at any moment during your agent's execution.
What dashboard views are available in AgentOps?
The AgentOps Dashboard provides several visualization views: Session List for overview of all sessions with filtering, Timeline View for chronological display of spans showing duration and relationships, Tree View for hierarchical representation of spans showing parent-child relationships, Message View for detailed LLM interactions with prompt and completion content, and Analytics for aggregated metrics across sessions and operations. You also get Session Summary with execution time and SDK version info, and Session Overview for meta-analysis of all sessions.
Is AgentOps open source?
Yes, the AgentOps app is open source. You can explore the code in their GitHub app directory at https://github.com/AgentOps-AI/agentops/tree/main/app. The main Python SDK for AI agent monitoring is also available on GitHub at https://github.com/AgentOps-AI/agentops, where you can contribute or bookmark the project.
Does AgentOps support TypeScript or JavaScript?
Yes, AgentOps is available for TypeScript/JavaScript applications. There is a dedicated TypeScript SDK guide for Node.js projects at /v2/usage/typescript-sdk. OpenAI Agents SDK integration is also available for both Python (OpenAI Agents Python) and TypeScript/JavaScript (OpenAI Agents JS).
How does cost tracking work across multiple agents?
AgentOps tracks spending across multiple agents by monitoring token counts and costs. It tracks, saves, and monitors every token your agent sees, and manages and visualizes agent spend with up-to-date price monitoring for 400+ LLMs. The dashboard provides cost tracking charts that break down token usage and expenses, allowing you to identify which agents are consuming the most resources and optimize accordingly.
Can I self-host AgentOps?
Yes, self-hosting is available on the Enterprise plan. You can deploy AgentOps backend services on AWS, GCP, or Azure. Complete guides are available including a Backend Setup Guide, Docker Guide for running with Docker and Docker Compose, and Native Development Guide for running without Docker. Self-hosting includes Custom data retention policy and is part of the Enterprise features along with SLA, Custom SSO, and compliance certifications.
What is the difference between Basic, Pro, and Enterprise plans?
Basic is free ($0/month) with 5,000 event limit and includes Agent Agnostic SDK, LLM Cost Tracking for 400+ LLMs, and Replay Analytics. Pro ($40/month) adds Unlimited events, Unlimited log retention, Session/event export, Dedicated Slack/email support, and Role-based permissioning. Enterprise (Custom pricing) adds SLA, Slack Connect, Custom SSO, On-premise deployment, Custom data retention, Self-hosting options, and compliance certifications (SOC-2, HIPAA, NIST AI RMF). Each tier includes everything from the previous tier plus additional features.