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docs/components/agentic-orchestration/analyze-ai-agents.md

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- You have deployed and run the [AI Agent Chat Quick Start](https://marketplace.camunda.com/en-US/apps/587865) model blueprint. This is needed for Optimize to fetch execution data to analyze. Consider running it using different prompts to trigger various AI agent tools.
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:::important
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This guide is a follow-up to [Build your first AI agent](../../guides/getting-started-agentic-orchestration.md), where you will use the same example AI agent process. It is recommended going through that guide first. However, it can be applied to other AI agent process implementations.
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This guide is a follow-up to [Build your first AI agent](../../guides/getting-started-agentic-orchestration.md), in which you use the same example AI agent process. We recommend completing that guide first. However, you can also apply this guide to other AI agent process implementations.
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## Step 1: Make your data available
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You should see something like the following:
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<img src={ScriptTask} alt="Process instance overview"/>
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<img src={ScriptTask} alt="Script task configuration for collecting token usage"/>
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## Step 2: Examine data in Optimize
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## Step 3: Create reports for token usage
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You can create reports for token usage across process instances and over time.
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To do so:
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1. Go to the **Collections** tab.
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### Example: Track trends over time
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Use a timeline report to analyze trends over time.
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For example, you can see how many times a tool is called per day over a one-week period.
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Use a timeline report to analyze trends over time. For example, you can see how many times a tool is called per day over a one-week period.
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1. Go to the **Collections** tab.
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1. Select **Report** from the **Create new** dropdown.
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## Step 5: Build a dashboard
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You can create a dashboard, a collection of reports that you can view together, for your AI agent.
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You can create a dashboard, which is a collection of reports that you can view together, for your AI agent process.
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To do so:
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1. Go to the **Collections** tab.

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