Incorrect documentation link for AgentOps (#458)

* remove .md

* made language more clear

* update images and documentation for spelling

* update typos and links

* update repo placement

* update wording

* clarify

* update wording

* Added clearer features

---------

Co-authored-by: João Moura <joaomdmoura@gmail.com>

docs/how-to/AgentOps-Observability.md

@@ -1,51 +1,52 @@
 ---
-title: (AgentOps) Observability using AgentOps
+title: Agent Monitoring with AgentOps
 description: Understanding and logging your agent performance with AgentOps.
 ---
 
 # Intro
-Observability is a key aspect of developing and deploying conversational AI agents. It allows developers to understand how the agent is performing, how users are interacting with the agent, and how the agent is responding to user inputs. 
+Observability is a key aspect of developing and deploying conversational AI agents. It allows developers to understand how their agents are performing, how their agents are interacting with users, and how their agents use external tools and APIs. AgentOps is a product independent of CrewAI that provides a comprehensive observability solution for agents. 
 
-AgentOps is a product, idependent of crewAI that provides a comprehensive observability solution for agents. 
-
-This notebook will provide an overview of AgentOps and how to use it with crewAI.
 
 ## AgentOps
 
-[AgentOps](https://agentops.ai) provides session replays, metrics, and monitoring for agents.
-[AgentOps Repo](https://github.com/AgentOps-AI/agentops)
+[AgentOps](https://agentops.ai/?=crew) provides session replays, metrics, and monitoring for agents.
+
+At a high level, AgentOps gives you the ability to monitor cost, token usage, latency, agent failures, session-wide statistics, and more. For more info, check out the [AgentOps Repo](https://github.com/AgentOps-AI/agentops).
 
 ### Overview
-AgentOps provides monotoring for agents in development and production. It provides a dashboard for monitoring agent performance, session replays, and custom reporting.
+AgentOps provides monitoring for agents in development and production. It provides a dashboard for tracking agent performance, session replays, and custom reporting.
 
-![agentops-overview.png](..%2Fassets%2Fagentops-overview.png)
+Additionally, AgentOps provides session drilldowns for viewing Crew agent interactions, LLM calls, and tool usage in real-time. This feature is useful for debugging and understanding how agents interact with users as well as other agents.
 
-Additionally, AgentOps provides session drilldowns that allows users to view the agent's interactions with users in real-time. This feature is useful for debugging and understanding how the agent interacts with users.
-
-![agentops-session.png](..%2Fassets%2Fagentops-session.png)
-![agentops-replay.png](..%2Fassets%2Fagentops-replay.png)
+![Overview of a select series of agent session runs](..%2Fassets%2Fagentops-overview.png)
+![Overview of session drilldowns for examining agent runs](..%2Fassets%2Fagentops-session.png)
+![Viewing a step-by-step agent replay execution graph](..%2Fassets%2Fagentops-replay.png)
 
 ### Features
-- LLM Cost management and tracking
-- Replay Analytics
-- Recursive thought detection
-- Custom Reporting
-- Analytics Dashboard
-- Public Model Testing
-- Custom Tests
-- Time Travel Debugging
-- Compliance and Security
+- **LLM Cost Management and Tracking**: 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**: Restart your sessions from 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
 
 ### Using AgentOps
 
-Create a user API key here: app.agentops.ai/account
+1. **Create an API Key:**
+Create a user API key here: [Create API Key](app.agentops.ai/account)
 
+2. **Configure Your Environment:**
 Add your API key to your environment variables
 
 ```
 AGENTOPS_API_KEY=<YOUR_AGENTOPS_API_KEY>
 ```
 
+3. **Install AgentOps:**
 Install AgentOps with:
 ```
 pip install crewai[agentops]
@@ -62,11 +63,26 @@ import agentops
 agentops.init()
 ```
 
+This will initiate an AgentOps session as well as automatically track Crew agents. For further info on how to outfit more complex agentic systems, check out the [AgentOps documentation](https://docs.agentops.ai) or join the [Discord](https://discord.gg/j4f3KbeH).
+
 ### Crew + AgentOps Examples
 - [Job Posting](https://github.com/joaomdmoura/crewAI-examples/tree/main/job-posting)
 - [Markdown Validator](https://github.com/joaomdmoura/crewAI-examples/tree/main/markdown_validator)
 - [Instagram Post](https://github.com/joaomdmoura/crewAI-examples/tree/main/instagram_post)
 
 
-### Futher Information
-To implement more features and better observability, please see the [AgentOps Repo](https://github.com/AgentOps-AI/agentops)
+### Further Information
+
+To get started, create an [AgentOps account](https://agentops.ai/?=crew).
+
+For feature requests or bug reports, please reach out to the AgentOps team on the [AgentOps Repo](https://github.com/AgentOps-AI/agentops).
+
+#### Extra links
+
+<a href="https://twitter.com/agentopsai/">🐦 Twitter</a>
+<span>&nbsp;&nbsp;•&nbsp;&nbsp;</span>
+<a href="https://discord.gg/JHPt4C7r">📢 Discord</a>
+<span>&nbsp;&nbsp;•&nbsp;&nbsp;</span>
+<a href="https://app.agentops.ai/?=crew">🖇️ AgentOps Dashboard</a>
+<span>&nbsp;&nbsp;•&nbsp;&nbsp;</span>
+<a href="https://docs.agentops.ai/introduction">📙 Documentation</a>

docs/index.md

@@ -80,7 +80,7 @@ Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By
             </li>
             <li>
                 <a href="./how-to/AgentOps-Observability">
-                    Agent Observability using AgentOps
+                    Agent Monitoring with AgentOps
                 </a>
             </li>
         </ul>

mkdocs.yml

@@ -135,7 +135,7 @@ nav:
     - Connecting to any LLM: 'how-to/LLM-Connections.md'
     - Customizing Agents: 'how-to/Customizing-Agents.md'
     - Human Input on Execution: 'how-to/Human-Input-on-Execution.md'
-    - Agent Observability using AgentOps: 'how-to/AgentOps-Observability.md'
+    - Agent Monitoring with AgentOps: 'how-to/AgentOps-Observability.md'
   - Tools Docs:
     - Google Serper Search: 'tools/SerperDevTool.md'
     - Scrape Website: 'tools/ScrapeWebsiteTool.md'