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:- Log in at app.arize.com
- Click Settings and copy the Space ID
- Open the API Keys tab and create or copy an API key
Install
Curl installer
macOS / Linux:Local clone
~/.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.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.- Arize AX
- Phoenix
- 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.
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 asuser.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)?
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.
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.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.
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
EachARIZE_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
SessionStartandSessionEnd - Agent spans — paired
BeforeAgent/AfterAgentevents for each agent step - LLM spans — paired
BeforeModel/AfterModelevents with model info and tokens - Tool spans — paired
BeforeTool/AfterToolevents with input, output, and duration - Session grouping — all spans from the same session grouped by
session_id