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Trace Gemini CLI sessions, agent steps, model calls, and tool invocations in Arize AX for full observability.
Gemini CLI is Google’s open-source command-line agent for Gemini. The Arize Coding Harness Tracing instruments Gemini CLI sessions and exports OpenInference spans to Arize AX.

Launch Arize AX

To get started, sign up for a free Arize AX account and get your Space ID and API Key:
  1. Log in at app.arize.com
  2. Click Settings and copy the Space ID
  3. Open the API Keys tab and create or copy an API key

Install

Curl installer

macOS / Linux:
Windows (PowerShell):

Local clone

The installer writes credentials to ~/.arize/harness/config.json and registers the hooks in ~/.gemini/settings.json.
For Google Antigravity, use the Antigravity integration instead. It is a separate harness with its own hooks file (~/.gemini/config/hooks.json), which is distinct from the Gemini CLI’s ~/.gemini/settings.json.
The installer runs a short interactive setup. Every harness in the Arize Coding Harness Tracing repo asks the same questions, in the same order.

Setup walkthrough

1. Backend selection

Choose where spans are sent:
  • Phoenix — your own Phoenix instance.
  • Arize AX — the hosted Arize platform.

2. Credentials

The prompts depend on the backend you picked.
  • API key — create one on the API keys tab.
  • Space ID — shown on the same settings tab as your API keys.
  • OTLP endpoint — defaults to otlp.arize.com:443. Override it only for a hosted or dedicated instance.
If you have already configured another harness against the same backend, the installer offers a copy-from menu so you can reuse those credentials instead of retyping them.

3. Project name

The project that this harness’s spans are grouped under. Defaults to the harness name.

4. User ID (optional)

A free-form identifier attached to every span as user.id. Useful when teammates share one backend. Leave it blank to skip.

5. Content logging

Three [Y/n] opt-outs that apply to every harness, not only the one you are installing:
  • Log user prompts?
  • Log what tools were asked to do (commands, file paths, URLs)?
  • Log what tools returned (file contents, command output)?
You are asked these only the first time you install any harness. Later installs reuse the existing logging block in ~/.arize/harness/config.json, which you can edit at any time.

Install flags

Non-interactive install

Pass --non-interactive (or -y) to skip every prompt above and take each value from the environment instead. Nothing is asked, and a missing required value is an error rather than a prompt, which makes this the mode to use from a script, from CI, or when a coding agent is driving the install itself. Values come from the environment, or from a dotenv file named explicitly with ARIZE_ENV_FILE. Naming a file keeps the API key out of the command line and your shell history.
A named ARIZE_ENV_FILE outranks the environment, and there is deliberately no automatic ./.env search. Reading the working directory would let a cloned repository’s dotenv choose ARIZE_OTLP_ENDPOINT or PHOENIX_ENDPOINT while your real credentials came from the environment, installing a config that ships spans and a bearer API key to an endpoint the repo picked, for every later session on that machine. Name the file you mean.
Content logging is off by default in this mode, unlike the interactive wizard where each question defaults to yes. A [Y/n] default is a person declining to change an answer they were shown; the same default unattended would capture prompts, commands, and file contents that nobody agreed to. Set the ARIZE_LOG_* variables you want to true.
The API key is never echoed. The installer reports only that it found one and where it came from, and every resolved value is reported with its source, so a wrong-credentials install stays diagnosable:

Check what’s installed

status reports which harnesses are configured and whether their hooks are actually wired into each harness’s own settings file. Both have to be true for traces to appear.
hooks: NOT registered means credentials are saved but the harness was never wired up, or something removed the hooks. Re-run the install for that harness. Use --json from a script or a coding agent to gate on the exit code without parsing output: 0 means every configured harness is wired up, 1 means nothing is configured, and 2 means at least one harness’s hooks are missing. The payload contains no secrets — an API key appears only as "api_key_present": true — so it is safe to paste into a bug report.

Keep it up to date

update pulls the latest code and re-registers every harness already in config.json.
Re-registering runs each harness’s installer, so in a terminal it still asks for each project name. With no terminal to answer on, in CI or a cron job, it takes the stored values instead of failing: credentials are not re-read on that path, and the project name keeps whatever is in config.json.

Configuration

Credentials live in ~/.arize/harness/config.json. Environment variables override values in config.json and can be set in your shell profile.

Redaction controls

Each ARIZE_LOG_* flag accepts "true" or "false" and defaults to "true". Set to "false" to opt out per category:

Observe

Once tracing is enabled, Gemini CLI activity is streamed to Arize AX. You’ll see:
  • Session traces — each session bracketed by SessionStart and SessionEnd
  • Agent spans — paired BeforeAgent / AfterAgent events for each agent step
  • LLM spans — paired BeforeModel / AfterModel events with model info and tokens
  • Tool spans — paired BeforeTool / AfterTool events with input, output, and duration
  • Session grouping — all spans from the same session grouped by session_id

Hooks Captured

Reference

For the full list of environment variables, default file paths, and troubleshooting steps, see the Gemini tracing README.

Uninstall

Resources

Arize Coding Harness Tracing

OpenInference

Gemini CLI