feat(mcp-insights): product docs (#14544)

Author: obostjancic

docs/platforms/javascript/common/tracing/instrumentation/ai-agents-module.mdx

@@ -4,7 +4,7 @@ sidebar_order: 500
 description: "Learn how to manually instrument your code to use Sentry's Agents module."
 ---
 
-With <Link to="/product/insights/agents/dashboard/">Sentry AI Agent Monitoring</Link>, you can monitor and debug your AI systems with full-stack context. You'll be able to track key insights like token usage, latency, tool usage, and error rates. AI Agent Monitoring data will be fully connected to your other Sentry data like logs, errors, and traces.
+With <Link to="/product/insights/ai/agents/dashboard/">Sentry AI Agent Monitoring</Link>, you can monitor and debug your AI systems with full-stack context. You'll be able to track key insights like token usage, latency, tool usage, and error rates. AI Agent Monitoring data will be fully connected to your other Sentry data like logs, errors, and traces.
 
 As a prerequisite to setting up AI Agent Monitoring with JavaScript, you'll need to first <PlatformLink to="/tracing/">set up tracing</PlatformLink>. Once this is done, the JavaScript SDK will automatically instrument AI agents created with supported libraries. If that doesn't fit your use case, you can use custom instrumentation described below.
 

docs/platforms/python/integrations/openai/index.mdx

@@ -7,7 +7,7 @@ This integration connects Sentry with the [OpenAI Python SDK](https://github.com
 
 Once you've installed this SDK, you can use Sentry AI Agents Monitoring, a Sentry dashboard that helps you understand what's going on with your AI requests.
 
-Sentry AI Monitoring will automatically collect information about prompts, tools, tokens, and models. Learn more about the [AI Agents Dashboard](/product/insights/agents).
+Sentry AI Monitoring will automatically collect information about prompts, tools, tokens, and models. Learn more about the [AI Agents Dashboard](/product/insights/ai/agents).
 
 ## Install
 
@@ -57,7 +57,7 @@ def my_llm_stuff():
 
 After running this script, the resulting data should show up in the `"AI Spans"` tab on the `"Explore" > "Traces"` page on Sentry.io.
 
-If you manually created an <PlatformLink to="/tracing/instrumentation/custom-instrumentation/ai-agents-module/#invoke-agent-span">Invoke Agent Span</PlatformLink> (not done in the example above) the data will also show up in the [AI Agents Dashboard](/product/insights/agents).
+If you manually created an <PlatformLink to="/tracing/instrumentation/custom-instrumentation/ai-agents-module/#invoke-agent-span">Invoke Agent Span</PlatformLink> (not done in the example above) the data will also show up in the [AI Agents Dashboard](/product/insights/ai/agents).
 
 It may take a couple of moments for the data to appear in [sentry.io](https://sentry.io).
 

docs/platforms/python/tracing/instrumentation/custom-instrumentation/ai-agents-module.mdx

@@ -4,7 +4,7 @@ sidebar_order: 500
 description: "Learn how to manually instrument your code to use Sentry's Agents module."
 ---
 
-With <Link to="/product/insights/agents/dashboard/">Sentry AI Agent Monitoring</Link>, you can monitor and debug your AI systems with full-stack context. You'll be able to track key insights like token usage, latency, tool usage, and error rates. AI Agent Monitoring data will be fully connected to your other Sentry data like logs, errors, and traces.
+With <Link to="/product/insights/ai/agents/dashboard/">Sentry AI Agent Monitoring</Link>, you can monitor and debug your AI systems with full-stack context. You'll be able to track key insights like token usage, latency, tool usage, and error rates. AI Agent Monitoring data will be fully connected to your other Sentry data like logs, errors, and traces.
 
 As a prerequisite to setting up AI Agent Monitoring with Python, you'll need to first <PlatformLink to="/tracing/">set up tracing</PlatformLink>. Once this is done, the Python SDK will automatically instrument AI agents created with supported libraries. If that doesn't fit your use case, you can use custom instrumentation described below.
 

docs/product/index.mdx

@@ -46,7 +46,7 @@ Releases are integrated with the rest of Sentry so you can directly see how an e
 
 ### AI Agents Monitoring
 
-Our [**AI Agents Monitoring**](/product/insights/agents/) feature gives you insights into your AI agent workflows within the broader context of your app. When you `pip install sentry` into a project using AI agents, Sentry will automatically pick up useful metrics like agent invocations, tool executions, handoffs between agents, and token usage, sending them to our AI Agents Insights dashboard.
+Our [**AI Agents Monitoring**](/product/insights/ai/agents/) feature gives you insights into your AI agent workflows within the broader context of your app. When you `pip install sentry` into a project using AI agents, Sentry will automatically pick up useful metrics like agent invocations, tool executions, handoffs between agents, and token usage, sending them to our AI Agents Insights dashboard.
 
 ### Uptime Monitoring
 

docs/product/insights/agents/dashboard.mdx renamed to docs/product/insights/ai/agents/dashboard.mdx

@@ -6,7 +6,7 @@ description: "Learn how to use Sentry's AI Agents Dashboard."
 
 <Include name="feature-limited-on-team-retention.mdx" />
 
-Once you've [configured the Sentry SDK](/product/insights/agents/getting-started/) for your AI agent project, you'll start receiving data in the Sentry [AI Agents Insights](https://sentry.io/orgredirect/organizations/:orgslug/insights/agents/) dashboard.
+Once you've [configured the Sentry SDK](/product/insights/ai/agents/getting-started/) for your AI agent project, you'll start receiving data in the Sentry [AI Agents Insights](https://sentry.io/orgredirect/organizations/:orgslug/insights/agents/) dashboard.
 
 The main dashboard provides a comprehensive view of all your AI agent activities, performance metrics, and recent executions.