| name | manage-gemini-tracing |
| description | Set up and configure Arize tracing for Gemini CLI sessions. Use when users want to set up tracing, configure Arize AX or Phoenix for Gemini, enable/disable tracing, or troubleshoot tracing issues. Triggers on "set up gemini tracing", "configure Arize for Gemini", "configure Phoenix for Gemini", "enable gemini tracing", "setup-gemini-tracing", or any request about connecting Gemini CLI to Arize or Phoenix for observability. |
Setup Gemini Tracing
Configure OpenInference tracing for Gemini CLI sessions to Arize AX (cloud) or Phoenix (self-hosted). Spans are sent directly to the backend from hooks -- no background process or backend-specific dependencies are needed in the user's environment.
How to Use This Skill
This skill follows a decision tree workflow. Start by asking the user where they are in the setup process:
-
Is the harness already installed?
- Check
~/.gemini/settings.json for 8 hook entries with name: arize-tracing
- Check
~/.arize/harness/config.yaml for the harnesses.gemini block
- If both are present -> Jump to Validate or Troubleshoot
-
Do they already have credentials?
-
Which backend do they want to use?
-
Are they troubleshooting?
Important: Only follow the relevant path for the user's needs. Don't go through all sections.
Set Up Phoenix
Phoenix is self-hosted. No Python dependencies are needed for tracing -- spans are sent directly via send_span() using stdlib urllib.
Install Phoenix
Ask if they already have Phoenix running. If not, walk through:
pip install arize-phoenix && phoenix serve
docker run -p 6006:6006 arizephoenix/phoenix:latest
Phoenix UI will be available at http://localhost:6006. Confirm it's running:
curl -sf http://localhost:6006/v1/traces >/dev/null && echo "Phoenix is running" || echo "Phoenix not reachable"
Then proceed to Configure Settings with the Phoenix endpoint.
Set Up Arize AX
Arize AX is available as a SaaS platform or as an on-prem deployment. Users need an account, a space, and an API key.
First, ask the user: "Are you using the Arize SaaS platform or an on-prem instance?"
- SaaS -> Uses the default endpoint (
otlp.arize.com:443). Continue below.
- On-prem -> The user will need to provide their custom OTLP endpoint (e.g.,
otlp.mycompany.arize.com:443). Ask for it and note it for the Configure Settings step.
1. Create an account
If the user doesn't have an Arize account:
2. Get Space ID and API key
Walk the user through finding their credentials:
- Log in to their Arize instance (https://app.arize.com for SaaS, or their on-prem URL)
- Click Settings (gear icon) in the left sidebar
- The Space ID is shown on the Space Settings page
- Go to the API Keys tab
- Click Create API Key or copy an existing one
Both api_key and space_id are required for the shared config.
No Python dependencies are needed. Both Phoenix and Arize AX use HTTP/JSON -- no additional Python dependencies are needed.
Then proceed to Configure Settings. If the user is on an on-prem instance, remind them to provide their custom endpoint.
Configure Settings
Important: Users must run this setup before tracing will work. The send_span() function requires ~/.arize/harness/config.yaml to exist for backend credential resolution.
Ask the user for:
- Backend choice: Phoenix or Arize AX
- Credentials (only if no existing config):
- Phoenix: endpoint URL (default:
http://localhost:6006), optional API key
- Arize AX: API key and Space ID
- OTLP Endpoint (Arize AX only, optional): For hosted Arize instances using a custom endpoint. Defaults to
otlp.arize.com:443.
- Project name (optional): defaults to
"gemini", stored under harnesses.gemini.project_name
- User ID (optional): Set
ARIZE_USER_ID env var to identify spans by user (useful for teams)
Write the config
The config file at ~/.arize/harness/config.yaml is the single source of truth for backend credentials and per-harness settings. Create the directory structure if needed: mkdir -p ~/.arize/harness/{bin,run,logs,state/gemini}
Important: read-merge-write. If ~/.arize/harness/config.yaml already exists, read it first, then merge in the new or updated fields (e.g., add/update the harnesses.gemini entry) while preserving existing backend credentials. Only prompt for backend credentials if no existing config is found.
Phoenix:
harnesses:
gemini:
project_name: gemini
target: phoenix
endpoint: <endpoint>
api_key: ""
Arize AX:
harnesses:
gemini:
project_name: gemini
target: arize
endpoint: otlp.arize.com:443
api_key: <key>
space_id: <id>
If the user has a custom OTLP endpoint, set it in harnesses.gemini.endpoint.
Activate Gemini hooks
Gemini CLI uses ~/.gemini/settings.json for hook registration. Hooks are configured under hooks.<EventName> as an array of matcher/hook objects.
Install or reinstall via the installer:
./install.sh gemini
To uninstall:
./install.sh uninstall gemini
The installer registers all 8 hook events (SessionStart, SessionEnd, BeforeAgent, AfterAgent, BeforeModel, AfterModel, BeforeTool, AfterTool) in ~/.gemini/settings.json with name: arize-tracing on each entry.
Validate
- Config exists: Run
cat ~/.arize/harness/config.yaml to verify the config file exists and has correct backend credentials under harnesses.gemini.
- Phoenix (if applicable): Run
curl -sf <endpoint>/v1/traces >/dev/null to check connectivity.
- Hooks active: Verify
~/.gemini/settings.json contains 8 hook entries with name: arize-tracing.
- Quick dry-run test (optional):
echo '{"event":"BeforeModel"}' | ARIZE_DRY_RUN=true arize-hook-gemini-before-model
Confirm
Tell the user:
- Config saved to
~/.arize/harness/config.yaml
- Gemini CLI hooks activated via
~/.gemini/settings.json
- Spans are sent directly to the backend from hooks -- no background process needed
- After saving, open a new Gemini CLI session and traces will appear in their Phoenix UI or Arize AX dashboard under the project name
- Mention
ARIZE_DRY_RUN=true to test without sending data (set as env var before launching Gemini CLI)
- Mention
ARIZE_VERBOSE=true for debug output
- Errors are always written to
~/.arize/harness/logs/gemini.log; set ARIZE_VERBOSE=true in the shell before launching Gemini CLI to also capture routine hook activity
- Toggle tracing on/off via
ARIZE_TRACE_ENABLED env var (must be exported in the user's shell -- Gemini hooks read host env vars)
- Tail the log file at
~/.arize/harness/logs/gemini.log for real-time debugging
Hook Events
Gemini CLI fires 8 hook events. Each event is registered in ~/.gemini/settings.json and maps to a dedicated CLI entry point.
| Event | Span Name | Kind | Description |
|---|
SessionStart | Session Start | CHAIN | Session initialization |
SessionEnd | Session End | CHAIN | Session termination |
BeforeAgent | Agent Turn | CHAIN | User prompt to agent |
AfterAgent | Agent Turn | CHAIN | Agent completion |
BeforeModel | LLM Call | LLM | Model invocation start with prompt |
AfterModel | LLM Call | LLM | Model response with tokens |
BeforeTool | Tool: {name} | TOOL | Tool invocation start |
AfterTool | Tool: {name} | TOOL | Tool result |
Troubleshoot
Common issues and fixes for Gemini CLI:
| Problem | Fix |
|---|
| Traces not appearing | Verify config exists: cat ~/.arize/harness/config.yaml. Check hook log: tail -20 ~/.arize/harness/logs/gemini.log |
| Hooks not firing | Verify ~/.gemini/settings.json contains the 8 hook entries with name: arize-tracing for all events |
| Config missing | Run ./install.sh gemini or create ~/.arize/harness/config.yaml manually (include harnesses.gemini section) |
| Phoenix unreachable | Verify Phoenix is running: curl -sf <endpoint>/v1/traces |
| Want to test without sending | Set ARIZE_DRY_RUN=true env var before launching Gemini CLI |
| Want verbose logging | Set ARIZE_VERBOSE=true env var before launching Gemini CLI |
| Wrong project name | Set harnesses.gemini.project_name in ~/.arize/harness/config.yaml (default: "gemini") |
| Spans missing user attribution | Set ARIZE_USER_ID env var before launching Gemini CLI |
| Tracing not toggling | Ensure ARIZE_TRACE_ENABLED is exported in your shell, not just set |