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# Agent Monitoring and Debugging with AgentOps
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< img src = "https://github.com/AgentOps-AI/agentops/blob/main/docs/images/external/logo/banner-badge.png?raw=true" style = "width: 40%;" alt = "AgentOps logo" / >
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[AgentOps ](https://agentops.ai/?=autogen ) provides session replays, metrics, and monitoring for AI agents.
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At a high level, AgentOps gives you the ability to monitor LLM calls, costs, latency, agent failures, multi-agent interactions, tool usage, session-wide statistics, and more. For more info, check out the [AgentOps Repo ](https://github.com/AgentOps-AI/agentops ).
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| | |
| ------------------------------------- | ------------------------------------------------------------- |
| 📊 **Replay Analytics and Debugging** | Step-by-step agent execution graphs |
| 💸 **LLM Cost Management** | Track spend with LLM foundation model providers |
| 🧪 **Agent Benchmarking** | Test your agents against 1,000+ evals |
| 🔐 **Compliance and Security** | Detect common prompt injection and data exfiltration exploits |
| 🤝 **Framework Integrations** | Native Integrations with CrewAI, AutoGen, & LangChain |
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< summary > < b > < u > Agent Dashboard< / u > < / b > < / summary >
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< a href = "https://app.agentops.ai?ref=gh" >
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< img src = "https://github.com/AgentOps-AI/agentops/blob/main/docs/images/external/app_screenshots/overview.png?raw=true" style = "width: 70%;" alt = "Agent Dashboard" / >
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< summary > < b > < u > Session Analytics< / u > < / b > < / summary >
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< a href = "https://app.agentops.ai?ref=gh" >
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< img src = "https://github.com/AgentOps-AI/agentops/blob/main/docs/images/external/app_screenshots/session-overview.png?raw=true" style = "width: 70%;" alt = "Session Analytics" / >
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< summary > < b > < u > Session Replays< / u > < / b > < / summary >
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< a href = "https://app.agentops.ai?ref=gh" >
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< img src = "https://github.com/AgentOps-AI/agentops/blob/main/docs/images/external/app_screenshots/session-replay.png?raw=true" style = "width: 70%;" alt = "Session Replays" / >
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## Installation
AgentOps works seamlessly with applications built using Autogen.
1. **Install AgentOps**
```bash
pip install agentops
```
2. **Create an API Key:**
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Create a user API key here: [Create API Key ](https://app.agentops.ai/settings/projects )
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3. **Configure Your Environment:**
Add your API key to your environment variables
```
AGENTOPS_API_KEY=< YOUR_AGENTOPS_API_KEY >
```
4. **Initialize AgentOps**
To start tracking all available data on Autogen runs, simply add two lines of code before implementing Autogen.
```python
import agentops
agentops.init() # Or: agentops.init(api_key="your-api-key-here")
```
After initializing AgentOps, Autogen will now start automatically tracking your agent runs.
## Features
- **LLM Costs**: Track spend with foundation model providers
- **Replay Analytics**: Watch step-by-step agent execution graphs
- **Recursive Thought Detection**: Identify when agents fall into infinite loops
- **Custom Reporting:** Create custom analytics on agent performance
- **Analytics Dashboard:** Monitor high level statistics about agents in development and production
- **Public Model Testing**: Test your agents against benchmarks and leaderboards
- **Custom Tests:** Run your agents against domain specific tests
- **Time Travel Debugging**: Save snapshots of session states to rewind and replay agent runs from chosen checkpoints.
- **Compliance and Security**: Create audit logs and detect potential threats such as profanity and PII leaks
- **Prompt Injection Detection**: Identify potential code injection and secret leaks
## Autogen + AgentOps examples
* [AgentChat with AgentOps Notebook ](/docs/notebooks/agentchat_agentops )
* [More AgentOps Examples ](https://docs.agentops.ai/v1/quickstart )
## Extra links
- [🐦 Twitter ](https://twitter.com/agentopsai/ )
- [📢 Discord ](https://discord.gg/JHPt4C7r )
- [🖇️ AgentOps Dashboard ](https://app.agentops.ai/ref?=autogen )
- [📙 Documentation ](https://docs.agentops.ai/introduction )