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Viewing Logs

What you'll learn
  • How the Log Level setting on each agent controls what gets logged
  • Where to find logs in AutoTalk
  • How to use logs to troubleshoot agent behavior

Logs provide a detailed record of your AI agent's activity. They capture messages processed, tool calls made, responses generated, and errors encountered. Reviewing logs is the fastest way to understand why an agent behaved a certain way and to diagnose problems.

How log levels work

Every agent has a Nivel do Log (Log Level) setting, configured on the agent's main form alongside the name and assistant type. The log level controls how much detail is recorded:

  • Lower verbosity: Only significant events (errors, warnings) are logged. Suitable for production agents that are running smoothly.
  • Higher verbosity: Detailed information about every step of processing is logged, including input/output data, tool call parameters, and internal decisions. Ideal during setup, testing, and debugging.
tip

Set a higher log level while you are building and testing your agent. Once the agent is stable and handling real customer conversations, reduce the log level to save storage and make it easier to spot genuine issues.

Where to find logs

Agent logs are available under the Empresa (Company) section of AutoTalk:

  1. In the sidebar, go to Empresa (Company).
  2. Click Logs.
  3. You will see a list of log entries from across your agents and system activity.
  4. Filter or search to find entries related to a specific agent.

What logs contain

Each log entry typically includes:

FieldDescription
TimestampWhen the event occurred
Agent nameWhich agent generated the entry
Event typeThe kind of event (message received, response sent, tool call, error, etc.)
Input dataThe customer message or trigger that started the action
Output dataThe agent's response or the result returned by a tool
Tool call detailsWhich tool was called, what parameters were sent, and what the tool returned
ErrorsAny errors or exceptions encountered during processing

Using logs for troubleshooting

Here are common scenarios where logs help you diagnose and fix problems:

Agent gave a wrong or unexpected answer

Check the log entry for that conversation turn. Look at:

  • The system messages that were sent to the model (were they complete and accurate?)
  • The conversation history that was included (was relevant context present?)
  • The model's raw response (did it misunderstand the question?)

A tool call failed

Find the log entry for the tool call. Check:

  • The parameters the agent sent to the tool (were they correct?)
  • The error message returned (does it indicate a configuration issue, authentication problem, or data error?)
  • Whether the tool was called at all (if not, the tool description may need to be clearer)

Responses are slow

Compare timestamps between the message-received event and the response-sent event. If there is a large gap:

  • Check whether a tool call took a long time to complete
  • Consider whether the model itself was slow (this can happen with larger models under heavy load)
  • Review whether pre-actions are adding unnecessary delay

Agent is not responding

Check whether any log entries exist for the conversation at all. If there are none:

  • Verify the agent is assigned to the correct channel
  • Check that the bot toggle is enabled for the conversation
  • Confirm the agent's status is active
tip

Make it a habit to review logs after deploying any changes to an agent's system messages, tools, or pre-actions. A quick scan of the first few interactions will tell you if everything is working as expected.

Next steps