This page provides troubleshooting suggestions for debugging and observing your agents as you build them.

​
View progress through a blueprint

Some blocks such as PDF parsing and text generation can take a while to run. As an agent runs, you can view its progress through the blueprint by navigating to the Blueprint tab.

The color of a blueprint block’s border describes the status of its execution.

  • Green: The block completed successfully
  • Animated blue: The block is currently running
  • Red: The block failed
  • No border: The block hasn’t run yet

The following image shows a blueprint with a PDF parsing block that’s currently running. The previous blocks have completed successfully and the following blocks haven’t run yet.

You can also see the progress of the agent in the Log status bar. Learn more below.

​
View error and info logs

If there are any errors or messages as your agent runs, you’ll see an indication in the Log status bar in the bottom right corner of the page.

You can click the Log status bar to expand it and see more details.

​
Add additional logs

You can add additional custom Log message blocks to the agent for debugging purposes. Log messages are helpful to understand the flow of the agent and the value of state and other variables at a given point in the execution.

To add a log message, add a Log message block to the canvas. In the block’s configuration panel, update the following fields:

  • Type: info or error
  • Message: The message to log

Below is an example of a log message block during a file parsing process. It logs the file ID before beginning the parsing process, to help you debug if the file is not found or not parsed correctly.

When the block runs, you’ll see the log message in the Logs status bar at the bottom of the page.

​
View traces

The log bar shows information about the agent’s execution as it runs and after blocks complete. It includes the following:

  • The block name
  • The status of the block (Success, Error, or In Progress)
  • A link to view a trace at that point in the execution
  • How long the block took to run

The trace link opens a new tab with a detailed view of the agent’s execution at that point in time. It contains:

  • The value resulting from the block’s execution, which is then added to the execution environment of the following block
  • The return value, if the block has one
  • The full execution environment at that point in time
  • The call stack

Below is an example of a trace after a File upload block has completed.

​
Inspect agent state

You can use the State explorer to view an agent’s state variables and their values. This is helpful when you’re debugging an agent or need to check the state at a given point in the execution.

To access the state explorer, click the State explorer icon in the top right corner of the page.

​
Observe agent usage and performance

You can view usage and performance metrics for your agent in the Observability tab. To get to this view, select the agent from the AI Studio homepage and navigate to the Observability tab.

Here, you can view:

  • Performance: Requests, errors, latency, and throughput
  • Usage: Total requests, tokens, and cost, along with a geographic breakdown of requests
  • Logs: Logs from individual requests