Templates

Agent History & Debugging Mode

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.

Conversation History

Install this snippet to manage and persist user interactions. It's the perfect starting point for any chatbot or conversational agent.

Agent History & Debugging Mode

Agent History & Debugging

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.

Configuration Instructions

1

Install the snippet into you workspace by clicking the card below

Agent History & Debugging Mode

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.

2

Go to the Agent History API group that was created during installation, and copy the group's Base URL

3

In the Dashboard API within the Agent History group, paste the Base URL into the api_group_base_url variable, and then Publish the endpoint.

4

In your database, add a record to the Agents table for the agent you want to monitor.

5

In the agent_user table, add a new user. This will provide secure access to the monitoring dashboard.

6

In any function stack, after your Call Agent statement, add the log_agent custom function to capture the agent's response.

Accessing the Dashboard

Each agent run will be recorded in your database.

To view the monitoring dashboard:

• Open your browser and navigate to the URL of the dashboard endpoint.

Log in using the credentials you created 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 chabot 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() }}

Configuration Instructions

1

Install the snippet to your workspace by clicking the card below

Conversation History

Install this snippet to manage and persist user interactions. It's the perfect starting point for any chatbot or conversational agent.

2

Navigate to the Chatbot API group

3

Copy the API group's base URL

4

Navigate to the /chatbot endpoint

5

Update the api_group_base_url variable with the copied URL

6

Navigate to the /conversation endpoint

7

Add your agent using a Call AI Agent function within the group located at step 4

8

In step 5, update the agent_response variable to use the Call AI Agent statement's output

Accessing the Chatbot Example

To view the chatbot example:

• Open your browser and navigate to the URL of the chatbot endpoint.