dial9

CLI tool for viewing and analyzing dial9-tokio-telemetry traces.

Looking to instrument your application?

This crate is the viewer/analysis CLI. If you want to add dial9 telemetry to your Tokio application, you need dial9-tokio-telemetry:

[dependencies]
dial9-tokio-telemetry = "0.3"

See the dial9-tokio-telemetry README for setup instructions.

Installation

Pre-built binaries are available from GitHub Releases for Linux (x86_64, aarch64), macOS (x86_64, aarch64), and Windows (x86_64).

# From source via crates.io
cargo install --locked dial9

# Or with cargo-binstall (downloads a pre-built binary, faster)
cargo binstall dial9

Usage

The binary has two subcommands: serve and agents. Run dial9 --help or dial9 <subcommand> --help for full options.

serve

Starts a web server for browsing and viewing traces from S3 or the local filesystem.

# Serve traces from a local directory
dial9 serve --local-dir /tmp/my_traces

# Serve traces from S3
AWS_PROFILE=my-profile dial9 serve --bucket my-trace-bucket

Open http://localhost:3000 to browse traces. Enter a search prefix (e.g. 2026-04-09/1910/checkout-api), select one or more segments, and click "View Selected" to open them in the viewer.

agents

Manages skill documentation and the JS analysis toolkit for AI agents.

# Print the agent skill header
dial9 agents

# Print a specific skill segment
dial9 agents skill recipes

# Unpack all skills as an Agent Skills spec directory (for native skill loading)
dial9 agents skills /tmp/dial9-skills

# Extract the JS analysis toolkit to a directory
dial9 agents toolkit /tmp/dial9-toolkit

If you use Symposium, skills auto-install when your project depends on dial9-tokio-telemetry:

cargo agents sync