> ## Documentation Index
> Fetch the complete documentation index at: https://docs.xano.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Templates
> Agent Templates
Install this snippet to monitor, analyze, and debug your agent’s behavior.
Gain critical insight into every agent run.
Install this snippet to manage and persist user interactions. The perfect
starting point for any chatbot or conversational agent.
## Agent History & Debugging Mode
Install this snippet to monitor, analyze, and debug your agent's behavior. Gain critical insight into every agent run.
* **Logging Database Tables**: Includes agents and agent\_runs, agent\_steps, agent\_tool\_calls tables to store detailed execution history.
* **Automated Logging Function**: A dedicated function to easily log the inputs, outputs, and steps of each agent run.
* **Monitoring Dashboard**: A utility API endpoint that provides a simple dashboard to review agent performance statistics and debug individual runs.
Monitors, analyzes, and debugs your agent’s behavior by logging every run, step, and tool call. Includes a dashboard for performance stats and run details, plus automated logging to capture inputs, outputs, and execution history.
Navigate to your APIs from the sidebar. Find **Agent History** and click the copy button as shown below.
Click on the **Agent History** API group to enter it.
Click on the \*\*/dashboard \*\*API.
Click on the first step inside of that function stack, and replace the value with the base URL you copied in the previous step.
Navigate to your Database from the sidebar.
Click on the **Agents** table.
Add a new record with the details of the agent you'd like to monitor using the dashboard.
We use a separate table for authentication of the agent monitoring dashboard.
Navigate back to your Database, and click on the **agent\_user** table.
Add a record. This is what you will use to access the Agent dashboard.
In any function stack where you're calling your agent using the **Call Agent** function, add the new **log\_agent** custom function to capture the agent's response and other run information.
From the /dashboard API, copy the endpoint URL using the button at the top of the page.
Paste that URL into a new tab.
Log in using the credentials you stored in the **agent\_user** table.
## Conversation History
Install this snippet to manage and persist user interactions. It's the perfect starting point for any chatbot or conversational agent.
This snippet includes:
* Authentication endpoints (auth/login and auth/me)
* Database tables (conversations and messages, agent\_user)
* Chatbot API group
* A chatbot UI that you can use to test your agents.\\
**Prerequisites**
* Agent must be configured with prompt type set to "Messages"
* Agent messages value must be set to: `{{ $args.messages|json_encode() }}`
Install this snippet to manage and persist user interactions. It's the perfect starting point for any chatbot or conversational agent.
Navigate to your APIs from the sidebar. Find *Chatbot*\* and click the copy button as shown below.
Click on the **Agent History** API group to enter it.
Click on the \*\*/dashboard \*\*API.
Click on the first step inside of that function stack, and replace the value with the base URL you copied in the previous step.
Navigate to your APIs from the sidebar.
Click on the **Conversation** API group, and then select the /conversation API.
In the group called "Add your Agent statement here", add a Call Agent function, and select your agent from the list
In step 5, update the **agent\_response** variable to use the Call AI Agent function's output.
From the /chatbot API, copy the endpoint URL using the button at the top of the page.
Paste that URL into a new tab.