Learn how to use Warp to retrieve, organize, and analyze production logs from your cloud servers — all with natural language prompts.
1
Setting the Context
Open Warp and enable voice input (optional) for hands-free prompting.
Voice input is optional — only enable it if you prefer hands-free prompting.
Prompt
Use the warp-server-staging gcloud project and pull logs
for the last 10 minutes from the warp-server Cloud Run instance.
Organize them by info, warning, and error levels.
Create a histogram across message types,
and highlight the most concerning errors to investigate.
2
Warp’s Agent in Action
After you hit Enter:
Warp detects the command as an Agent Mode request.
It gathers project context (warp-server-staging).
Executes the necessary gcloud logging queries automatically.
Writes retrieved data to a temporary file for processing.
3
Automated Analysis
Warp’s agent generates a Python script on the fly to:
Parse logs
Count messages by severity
Output summary metrics
Example output:
1,000 log entries total
980 info
11 warning
9 errors
You can view or fast-forward execution, or stop the process at any point.
4
Reviewing Results
Warp outputs a readable histogram and highlights anomalies.
For example:
“Gemini AI error messages detected — worth reviewing.”
You can expand each log group interactively or inspect the temporary Python code for debugging.
