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terminal
> _

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terminal
terminal

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Every source. One place.

TCP, UDP, HTTP, or file tailing. Configure multiple sources per tab and see all your logs in a unified view.

sources.config
TCP
Port:
HTTP
Port:
FILE
filters
Parsed Fields
level 4 2
info 1234
error 56
warn 89
debug 2341
status 3
200 890
404 23
500 12
service 3
api 500
worker 300
scheduler 100

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logs
Connection refused: payment-service:3000
Retrying with exponential backoff...
Deploy v2.1.0 started 14:32:10.000
Rate limit approaching for IP 192.168.1.100
Connection established to payment-service
latency: 45ms
pool: 3/10
Cache hit for user preferences
parser.config

Parser Pipeline

  • 1 Envelope
    stops
  • 2 JSON
    stops
  • 3 Grok
    stops
    %{TIMESTAMP_ISO8601:ts} %{LOGLEVEL:level} %{GREEDYDATA:msg}
Raw Input
{"log":"2024-01-15T10:32:08Z INFO Starting...","stream":"stdout"}
Parsed Fields
timestamp: 10:32:08Zlevel: INFOmessage: Starting...stream: stdout

Any format. Auto-detected.

JSON, Grok patterns, Logfmt, or regex. Chain parsers in a pipeline. Let AI suggest the right pattern.

Debug with AI.

Connect via MCP protocol. Let AI query, analyze, and mark your logs. Turn debugging into a conversation.

mcp.server
get_logs query_logs add_marker get_markers
Connected LogTrunk MCP v0.1.0

Example Prompts

"Why is the API returning 500 errors?" Analyzing error patterns and stack traces...
"Show me all requests from user_id=42" Filtering logs by field value...
"Add a marker for when I started debugging" Creating visual checkpoint...
settings.theme

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