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AgentOps

4.4
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AgentOps helps developers build, test, and run reliable AI agents and LLM apps. It offers clear visibility into agent actions, simplifying debugging, cost tracking, and performance assurance. You can monitor agent behavior, replay sessions, and manage deployments efficiently across over 400 AI frameworks.

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OverviewFeaturesUse CasesFAQIntegrationsPricing

About AgentOps

Who It's For

AgentOps helps developers create and run AI agents or large language model (LLM) apps. If you need reliable agents that stay within budget and are easy to fix, this tool is for you. It's for managing AI systems from testing to live use.

What You Get

You see everything your AI agents do. This includes tracking AI model calls and tool actions. AgentOps helps you watch spending on tokens and debug issues by replaying agent runs. You also get tools for agent safety and proper management.

How It Works

Just add a small software kit (SDK) to your agent's code. This SDK connects with over 400 AI frameworks. AgentOps then automatically records all agent activities. Use a dashboard to watch, debug, and check your agent's performance and costs live.

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Features & Capabilities

⚙️ Agent Observability & Debugging

Real-time Visualization

Visually tracks events such as LLM calls, tool usage, and multi-agent interactions.

Time Travel Debugging

Allows replaying and rewinding agent runs with precise point-in-time control for debugging.

Comprehensive Debugging & Auditing

Maintains a complete data trail of logs, errors, and detects prompt injection attacks from development to production.

Agent Agnostic SDK

Provides a single SDK for observability across OpenAI, CrewAI, Autogen, and over 400 LLMs and frameworks.

💰 Cost Management & Optimization

Granular Token Tracking

Monitors, saves, and tracks every token processed by your AI agent.

Real-time Cost Tracking

Manages and visualizes agent spending with up-to-date price monitoring across multiple agents.

LLM Fine-tuning Optimization

Enables fine-tuning of specialized LLMs using saved completions for up to 25x cost savings.

🔒 Enterprise & Compliance

Unlimited Log Retention & Events

Offers unlimited storage for agent events and comprehensive log retention.

Advanced Security & Compliance

Provides features like custom SSO, SOC-2, HIPAA, and NIST AI RMF compliance for secure operations.

Flexible Deployment Options

Supports self-hosting on major cloud platforms (AWS, GCP, Azure) and on-premise deployments.

Role-based Permissioning

Manages user access and permissions within the platform with role-based controls.

Use Cases

Debugging Autonomous AI Agents in Development

AI engineers often struggle to diagnose unexpected behaviors or errors in complex autonomous agents that involve multiple LLM calls and tool uses. AgentOps provides comprehensive observability, session replay, and time-travel debugging capabilities, allowing developers to visually trace every step of an agent's execution, pinpoint root causes, and iterate faster.

AI/ML DevelopmentFor: AI Engineers

Managing and Optimizing AI Agent Operational Costs

Companies deploying AI agents face challenges in tracking and controlling the unpredictable costs associated with LLM usage and token consumption. AgentOps provides granular cost tracking, token usage monitoring, and spend visualization across all agents, enabling teams to manage budgets, identify areas for optimization, and even fine-tune LLMs on historical data for improved efficiency and reduced costs.

B2B SaaSFor: Engineering Managers

Ensuring Production Reliability and Enterprise Governance for AI Agents

Enterprises struggle with maintaining the reliability, safety, and compliance of AI agents once deployed into production, especially concerning data handling, performance, and ethical considerations. AgentOps provides an enterprise-grade control plane with real-time monitoring, policy enforcement for data scope and high-risk actions, and robust deployment strategies, guaranteeing agents operate reliably, securely, and within defined service-level objectives.

Financial ServicesFor: AI/ML Ops Teams

Accelerating Iterative AI Agent Development and Evaluation

Developing effective AI agents involves continuous iteration, testing, and evaluation, which can be time-consuming without proper tools to understand agent performance and behavior. AgentOps streamlines the development lifecycle by providing comprehensive evaluation tools, including session replays, benchmarking, and detailed event logging, enabling developers to quickly test hypotheses, identify improvements, and rapidly iterate on agent designs.

Software DevelopmentFor: Product Developers

Frequently asked questions

Tags

agent orchestrationagent monitoringcost optimizationllm debuggingsession replay

Specifications

Deployment
Browser
API
Self-hosted
Cloud
Target Audience
Individual
Startup
Business
Enterprise
Complexity
Expert

Pricing

Basic

Per monthly

Free
  • Free up to 5,000 events
  • Agent Agnostic SDK
  • LLM Cost Tracking (400+ LLMs)
  • Replay Analytics

Pro

Per monthly

$40
  • Includes all features from the Basic plan
  • Unlimited event limit
  • Unlimited log retention
  • Session and event export
  • Dedicated Slack and email support
  • Role-based permissioning

Enterprise

Per monthly

Free
  • Includes all features from the Pro plan
  • SLA
  • Slack Connect
  • Custom SSO
  • On-premise deployment
  • Custom data retention policy
  • Self-hosting (AWS, GCP, Azure)
  • SOC-2, HIPAA, NIST AI RMF

✓ Free plan • ✓ Plans from $40 / monthly • ✓ Enterprise options

Integrations

OpenAI
CrewAI
Autogen
Slack
AWS
GCP

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Links

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