# Observability with OpenTelemetry

Observability is the key to turning experimental AI into reliable software.
Gemini CLI provides built-in support for OpenTelemetry, transforming every agent
interaction into a rich stream of logs, metrics, and traces. This three-pillar
approach gives you the high-fidelity visibility needed to understand agent
behavior, optimize performance, and ensure reliability across your entire
workflow.

Whether you are debugging a complex tool interaction locally or monitoring
enterprise-wide usage in the cloud, Gemini CLI's observability system provides
the actionable intelligence needed to move from "black box" AI to predictable,
high-performance systems.

## OpenTelemetry integration

Gemini CLI integrates with **[OpenTelemetry]**, a vendor-neutral,
industry-standard observability framework.

The observability system provides:

- Universal compatibility: Export to any OpenTelemetry backend (Google Cloud,
  Jaeger, Prometheus, Datadog, etc.).
- Standardized data: Use consistent formats and collection methods across your
  toolchain.
- Future-proof integration: Connect with existing and future observability
  infrastructure.
- No vendor lock-in: Switch between backends without changing your
  instrumentation.

[OpenTelemetry]: https://opentelemetry.io/

## Configuration

You control telemetry behavior through the `.gemini/settings.json` file.
Environment variables can override these settings.

| Setting        | Environment Variable              | Description                                         | Values            | Default                 |
| -------------- | --------------------------------- | --------------------------------------------------- | ----------------- | ----------------------- |
| `enabled`      | `GEMINI_TELEMETRY_ENABLED`        | Enable or disable telemetry                         | `true`/`false`    | `false`                 |
| `traces`       | `GEMINI_TELEMETRY_TRACES_ENABLED` | Enable detailed attribute tracing                   | `true`/`false`    | `false`                 |
| `target`       | `GEMINI_TELEMETRY_TARGET`         | Where to send telemetry data                        | `"gcp"`/`"local"` | `"local"`               |
| `otlpEndpoint` | `GEMINI_TELEMETRY_OTLP_ENDPOINT`  | OTLP collector endpoint                             | URL string        | `http://localhost:4317` |
| `otlpProtocol` | `GEMINI_TELEMETRY_OTLP_PROTOCOL`  | OTLP transport protocol                             | `"grpc"`/`"http"` | `"grpc"`                |
| `outfile`      | `GEMINI_TELEMETRY_OUTFILE`        | Save telemetry to file (overrides `otlpEndpoint`)   | file path         | -                       |
| `logPrompts`   | `GEMINI_TELEMETRY_LOG_PROMPTS`    | Include prompts in telemetry logs                   | `true`/`false`    | `true`                  |
| `useCollector` | `GEMINI_TELEMETRY_USE_COLLECTOR`  | Use external OTLP collector (advanced)              | `true`/`false`    | `false`                 |
| `useCliAuth`   | `GEMINI_TELEMETRY_USE_CLI_AUTH`   | Use CLI credentials for telemetry (GCP target only) | `true`/`false`    | `false`                 |
| -              | `GEMINI_CLI_SURFACE`              | Optional custom label for traffic reporting         | string            | -                       |

**Note on boolean environment variables:** For boolean settings like `enabled`,
setting the environment variable to `true` or `1` enables the feature.

For detailed configuration information, see the
[Configuration guide](../reference/configuration.md).

## Google Cloud telemetry

You can export telemetry data directly to Google Cloud Trace, Cloud Monitoring,
and Cloud Logging.

### Prerequisites

You must complete several setup steps before enabling Google Cloud telemetry.

1.  Set your Google Cloud project ID:
    - To send telemetry to a separate project:

      **macOS/Linux**

      ```bash
      export OTLP_GOOGLE_CLOUD_PROJECT="your-telemetry-project-id"
      ```

      **Windows (PowerShell)**

      ```powershell
      $env:OTLP_GOOGLE_CLOUD_PROJECT="your-telemetry-project-id"
      ```

    - To send telemetry to the same project as inference:

      **macOS/Linux**

      ```bash
      export GOOGLE_CLOUD_PROJECT="your-project-id"
      ```

      **Windows (PowerShell)**

      ```powershell
      $env:GOOGLE_CLOUD_PROJECT="your-project-id"
      ```

2.  Authenticate with Google Cloud using one of these methods:
    - **Method A: Application Default Credentials (ADC)**: Use this method for
      service accounts or standard `gcloud` authentication.
      - For user accounts:
        ```bash
        gcloud auth application-default login
        ```
      - For service accounts:

        **macOS/Linux**

        ```bash
        export GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account.json"
        ```

        **Windows (PowerShell)**

        ```powershell
        $env:GOOGLE_APPLICATION_CREDENTIALS="C:\path\to\your\service-account.json"
        ```
    * **Method B: CLI Auth** (Direct export only): Simplest method for local
      users. Gemini CLI uses the same OAuth credentials you used for login. To
      enable this, set `useCliAuth: true` in your `.gemini/settings.json`:

      ```json
      {
        "telemetry": {
          "enabled": true,
          "target": "gcp",
          "useCliAuth": true
        }
      }
      ```

<!-- prettier-ignore -->
> [!NOTE]
> This setting requires **Direct export** (in-process exporters)
> and cannot be used when `useCollector` is `true`. If both are enabled,
> telemetry will be disabled.

3.  Ensure your account or service account has these IAM roles:
    - Cloud Trace Agent
    - Monitoring Metric Writer
    - Logs Writer

4.  Enable the required Google Cloud APIs:
    ```bash
    gcloud services enable \
      cloudtrace.googleapis.com \
      monitoring.googleapis.com \
      logging.googleapis.com \
      --project="$OTLP_GOOGLE_CLOUD_PROJECT"
    ```

### Direct export

We recommend using direct export to send telemetry directly to Google Cloud
services.

1.  Enable telemetry in `.gemini/settings.json`:
    ```json
    {
      "telemetry": {
        "enabled": true,
        "target": "gcp"
      }
    }
    ```
2.  Run Gemini CLI and send prompts.
3.  View logs, metrics, and traces in the Google Cloud Console. See
    [View Google Cloud telemetry](#view-google-cloud-telemetry) for details.

### View Google Cloud telemetry

After you enable telemetry and run Gemini CLI, you can view your data in the
Google Cloud Console.

- **Logs:** [Logs Explorer](https://console.cloud.google.com/logs/)
- **Metrics:**
  [Metrics Explorer](https://console.cloud.google.com/monitoring/metrics-explorer)
- **Traces:** [Trace Explorer](https://console.cloud.google.com/traces/list)

For detailed information on how to use these tools, see the following official
Google Cloud documentation:

- [View and analyze logs with Logs Explorer](https://cloud.google.com/logging/docs/view/logs-explorer-interface)
- [Create charts with Metrics Explorer](https://cloud.google.com/monitoring/charts/metrics-explorer)
- [Find and explore traces](https://cloud.google.com/trace/docs/finding-traces)

#### Monitoring dashboards

Gemini CLI provides a pre-configured
[Google Cloud Monitoring](https://cloud.google.com/monitoring) dashboard to
visualize your telemetry.

Find this dashboard under **Google Cloud Monitoring Dashboard Templates** as
"**Gemini CLI Monitoring**".

![Gemini CLI Monitoring Dashboard Overview](/docs/assets/monitoring-dashboard-overview.png)

![Gemini CLI Monitoring Dashboard Metrics](/docs/assets/monitoring-dashboard-metrics.png)

![Gemini CLI Monitoring Dashboard Logs](/docs/assets/monitoring-dashboard-logs.png)

To learn more, see
[Instant insights: Gemini CLI’s pre-configured monitoring dashboards](https://cloud.google.com/blog/topics/developers-practitioners/instant-insights-gemini-clis-new-pre-configured-monitoring-dashboards/).

## Local telemetry

You can capture telemetry data locally for development and debugging. We
recommend using file-based output for local development.

1.  Enable telemetry in `.gemini/settings.json`:
    ```json
    {
      "telemetry": {
        "enabled": true,
        "target": "local",
        "outfile": ".gemini/telemetry.log"
      }
    }
    ```
2.  Run Gemini CLI and send prompts.
3.  View logs and metrics in `.gemini/telemetry.log`.

For advanced local telemetry setups (such as Jaeger or Genkit), see the
[Local development guide](../local-development.md#viewing-traces).

## Client identification

Gemini CLI includes identifiers in its `User-Agent` header to help you
differentiate and report on API traffic from different environments (for
example, identifying calls from Gemini Code Assist versus a standard terminal).

### Automatic identification

Most integrated environments are identified automatically without additional
configuration. The identifier is included as a prefix to the `User-Agent` and as
a "surface" tag in the parenthetical metadata.

| Environment                         | User-Agent Prefix            | Surface Tag |
| :---------------------------------- | :--------------------------- | :---------- |
| **Gemini Code Assist (Agent Mode)** | `GeminiCLI-a2a-server`       | `vscode`    |
| **Zed (via ACP)**                   | `GeminiCLI-acp-zed`          | `zed`       |
| **XCode (via ACP)**                 | `GeminiCLI-acp-xcode`        | `xcode`     |
| **IntelliJ IDEA (via ACP)**         | `GeminiCLI-acp-intellijidea` | `jetbrains` |
| **Standard Terminal**               | `GeminiCLI`                  | `terminal`  |

**Example User-Agent:**
`GeminiCLI-a2a-server/0.34.0/gemini-pro (linux; x64; vscode)`

### Custom identification

You can provide a custom identifier for your own scripts or automation by
setting the `GEMINI_CLI_SURFACE` environment variable. This is useful for
tracking specific internal tools or distribution channels in your GCP logs.

**macOS/Linux**

```bash
export GEMINI_CLI_SURFACE="my-custom-tool"
```

**Windows (PowerShell)**

```powershell
$env:GEMINI_CLI_SURFACE="my-custom-tool"
```

When set, the value appears at the end of the `User-Agent` parenthetical:
`GeminiCLI/0.34.0/gemini-pro (linux; x64; my-custom-tool)`

## Logs, metrics, and traces

This section describes the structure of logs, metrics, and traces generated by
Gemini CLI.

Gemini CLI includes `session.id`, `installation.id`, `active_approval_mode`, and
`user.email` (when authenticated) as common attributes on all data.

### Logs

Logs provide timestamped records of specific events. Gemini CLI logs events
across several categories.

#### Sessions

Session logs capture startup configuration and prompt submissions.

##### `gemini_cli.config`

Emitted at startup with the CLI configuration.

<details>
<summary>Attributes</summary>

- `model` (string)
- `embedding_model` (string)
- `sandbox_enabled` (boolean)
- `core_tools_enabled` (string)
- `approval_mode` (string)
- `api_key_enabled` (boolean)
- `vertex_ai_enabled` (boolean)
- `log_user_prompts_enabled` (boolean)
- `file_filtering_respect_git_ignore` (boolean)
- `debug_mode` (boolean)
- `mcp_servers` (string)
- `mcp_servers_count` (int)
- `mcp_tools` (string)
- `mcp_tools_count` (int)
- `output_format` (string)
- `extensions` (string)
- `extension_ids` (string)
- `extensions_count` (int)
- `auth_type` (string)
- `worktree_active` (boolean)
- `github_workflow_name` (string, optional)
- `github_repository_hash` (string, optional)
- `github_event_name` (string, optional)
- `github_pr_number` (string, optional)
- `github_issue_number` (string, optional)
- `github_custom_tracking_id` (string, optional)

</details>

##### `gemini_cli.user_prompt`

Emitted when you submit a prompt.

<details>
<summary>Attributes</summary>

- `prompt_length` (int)
- `prompt_id` (string)
- `prompt` (string; excluded if `telemetry.logPrompts` is `false`)
- `auth_type` (string)

</details>

#### Approval mode

These logs track changes to and usage of different approval modes.

##### Lifecycle

##### `approval_mode_switch`

Logs when you change the approval mode.

<details>
<summary>Attributes</summary>

- `from_mode` (string)
- `to_mode` (string)

</details>

##### `approval_mode_duration`

Records time spent in an approval mode.

<details>
<summary>Attributes</summary>

- `mode` (string)
- `duration_ms` (int)

</details>

##### Execution

##### `plan_execution`

Logs when you execute a plan and switch from plan mode to active execution.

<details>
<summary>Attributes</summary>

- `approval_mode` (string)

</details>

#### Tools

Tool logs capture executions, truncation, and edit behavior.

##### `gemini_cli.tool_call`

Emitted for each tool (function) call.

<details>
<summary>Attributes</summary>

- `function_name` (string)
- `function_args` (string)
- `duration_ms` (int)
- `success` (boolean)
- `decision` (string: "accept", "reject", "auto_accept", or "modify")
- `error` (string, optional)
- `error_type` (string, optional)
- `prompt_id` (string)
- `tool_type` (string: "native" or "mcp")
- `mcp_server_name` (string, optional)
- `extension_name` (string, optional)
- `extension_id` (string, optional)
- `content_length` (int, optional)
- `start_time` (number, optional)
- `end_time` (number, optional)
- `metadata` (object, optional), which may include:
  - `model_added_lines` (number)
  - `model_removed_lines` (number)
  - `user_added_lines` (number)
  - `user_removed_lines` (number)
  - `ask_user` (object)

</details>

##### `gemini_cli.tool_output_truncated`

Logs when tool output is truncated.

<details>
<summary>Attributes</summary>

- `tool_name` (string)
- `original_content_length` (int)
- `truncated_content_length` (int)
- `threshold` (int)
- `lines` (int)
- `prompt_id` (string)

</details>

##### `gemini_cli.edit_strategy`

Records the chosen edit strategy.

<details>
<summary>Attributes</summary>

- `strategy` (string)

</details>

##### `gemini_cli.edit_correction`

Records the result of an edit correction.

<details>
<summary>Attributes</summary>

- `correction` (string: "success" or "failure")

</details>

##### `gen_ai.client.inference.operation.details`

Provides detailed GenAI operation data aligned with OpenTelemetry conventions.

<details>
<summary>Attributes</summary>

- `gen_ai.request.model` (string)
- `gen_ai.provider.name` (string)
- `gen_ai.operation.name` (string)
- `gen_ai.input.messages` (json string)
- `gen_ai.output.messages` (json string)
- `gen_ai.response.finish_reasons` (array of strings)
- `gen_ai.usage.input_tokens` (int)
- `gen_ai.usage.output_tokens` (int)
- `gen_ai.request.temperature` (float)
- `gen_ai.request.top_p` (float)
- `gen_ai.request.top_k` (int)
- `gen_ai.request.max_tokens` (int)
- `gen_ai.system_instructions` (json string)
- `server.address` (string)
- `server.port` (int)

</details>

#### Files

File logs track operations performed by tools.

##### `gemini_cli.file_operation`

Emitted for each file creation, read, or update.

<details>
<summary>Attributes</summary>

- `tool_name` (string)
- `operation` (string: "create", "read", or "update")
- `lines` (int, optional)
- `mimetype` (string, optional)
- `extension` (string, optional)
- `programming_language` (string, optional)

</details>

#### API

API logs capture requests, responses, and errors from Gemini API.

##### `gemini_cli.api_request`

Request sent to Gemini API.

<details>
<summary>Attributes</summary>

- `model` (string)
- `prompt_id` (string)
- `role` (string: "user", "model", or "system")
- `request_text` (string, optional)

</details>

##### `gemini_cli.api_response`

Response received from Gemini API.

<details>
<summary>Attributes</summary>

- `model` (string)
- `status_code` (int or string)
- `duration_ms` (int)
- `input_token_count` (int)
- `output_token_count` (int)
- `cached_content_token_count` (int)
- `thoughts_token_count` (int)
- `tool_token_count` (int)
- `total_token_count` (int)
- `prompt_id` (string)
- `auth_type` (string)
- `finish_reasons` (array of strings)
- `response_text` (string, optional)

</details>

##### `gemini_cli.api_error`

Logs when an API request fails.

<details>
<summary>Attributes</summary>

- `error.message` (string)
- `model_name` (string)
- `duration` (int)
- `prompt_id` (string)
- `auth_type` (string)
- `error_type` (string, optional)
- `status_code` (int or string, optional)
- `role` (string, optional)

</details>

##### `gemini_cli.malformed_json_response`

Logs when a JSON response cannot be parsed.

<details>
<summary>Attributes</summary>

- `model` (string)

</details>

#### Model routing

These logs track how Gemini CLI selects and routes requests to models.

##### `gemini_cli.slash_command`

Logs slash command execution.

<details>
<summary>Attributes</summary>

- `command` (string)
- `subcommand` (string, optional)
- `status` (string: "success" or "error")

</details>

##### `gemini_cli.slash_command.model`

Logs model selection via slash command.

<details>
<summary>Attributes</summary>

- `model_name` (string)

</details>

##### `gemini_cli.model_routing`

Records model router decisions and reasoning.

<details>
<summary>Attributes</summary>

- `decision_model` (string)
- `decision_source` (string)
- `routing_latency_ms` (int)
- `reasoning` (string, optional)
- `failed` (boolean)
- `error_message` (string, optional)
- `approval_mode` (string)

</details>

#### Chat and streaming

These logs track chat context compression and streaming chunk errors.

##### `gemini_cli.chat_compression`

Logs chat context compression events.

<details>
<summary>Attributes</summary>

- `tokens_before` (int)
- `tokens_after` (int)

</details>

##### `gemini_cli.chat.invalid_chunk`

Logs invalid chunks received in a stream.

<details>
<summary>Attributes</summary>

- `error_message` (string, optional)

</details>

##### `gemini_cli.chat.content_retry`

Logs retries due to content errors.

<details>
<summary>Attributes</summary>

- `attempt_number` (int)
- `error_type` (string)
- `retry_delay_ms` (int)
- `model` (string)

</details>

##### `gemini_cli.chat.content_retry_failure`

Logs when all content retries fail.

<details>
<summary>Attributes</summary>

- `total_attempts` (int)
- `final_error_type` (string)
- `total_duration_ms` (int, optional)
- `model` (string)

</details>

##### `gemini_cli.conversation_finished`

Logs when a conversation session ends.

<details>
<summary>Attributes</summary>

- `approvalMode` (string)
- `turnCount` (int)

</details>

#### Resilience

Resilience logs record fallback mechanisms and recovery attempts.

##### `gemini_cli.flash_fallback`

Logs switch to a flash model fallback.

<details>
<summary>Attributes</summary>

- `auth_type` (string)

</details>

##### `gemini_cli.ripgrep_fallback`

Logs fallback to standard grep.

<details>
<summary>Attributes</summary>

- `error` (string, optional)

</details>

##### `gemini_cli.web_fetch_fallback_attempt`

Logs web-fetch fallback attempts.

<details>
<summary>Attributes</summary>

- `reason` (string: "private_ip" or "primary_failed")

</details>

##### `gemini_cli.agent.recovery_attempt`

Logs attempts to recover from agent errors.

<details>
<summary>Attributes</summary>

- `agent_name` (string)
- `attempt_number` (int)
- `success` (boolean)
- `error_type` (string, optional)

</details>

#### Extensions

Extension logs track lifecycle events and settings changes.

##### `gemini_cli.extension_install`

Logs when you install an extension.

<details>
<summary>Attributes</summary>

- `extension_name` (string)
- `extension_version` (string)
- `extension_source` (string)
- `status` (string)

</details>

##### `gemini_cli.extension_uninstall`

Logs when you uninstall an extension.

<details>
<summary>Attributes</summary>

- `extension_name` (string)
- `status` (string)

</details>

##### `gemini_cli.extension_enable`

Logs when you enable an extension.

<details>
<summary>Attributes</summary>

- `extension_name` (string)
- `setting_scope` (string)

</details>

##### `gemini_cli.extension_disable`

Logs when you disable an extension.

<details>
<summary>Attributes</summary>

- `extension_name` (string)
- `setting_scope` (string)

</details>

#### Agent runs

Agent logs track the lifecycle of agent executions.

##### `gemini_cli.agent.start`

Logs when an agent run begins.

<details>
<summary>Attributes</summary>

- `agent_id` (string)
- `agent_name` (string)

</details>

##### `gemini_cli.agent.finish`

Logs when an agent run completes.

<details>
<summary>Attributes</summary>

- `agent_id` (string)
- `agent_name` (string)
- `duration_ms` (int)
- `turn_count` (int)
- `terminate_reason` (string)

</details>

#### IDE

IDE logs capture connectivity events for the IDE companion.

##### `gemini_cli.ide_connection`

Logs IDE companion connections.

<details>
<summary>Attributes</summary>

- `connection_type` (string)

</details>

#### UI

UI logs track terminal rendering issues.

##### `kitty_sequence_overflow`

Logs terminal control sequence overflows.

<details>
<summary>Attributes</summary>

- `sequence_length` (int)
- `truncated_sequence` (string)

</details>

#### Miscellaneous

##### `gemini_cli.rewind`

Logs when the conversation state is rewound.

<details>
<summary>Attributes</summary>

- `outcome` (string)

</details>

##### `gemini_cli.conseca.verdict`

Logs security verdicts from ConSeca.

<details>
<summary>Attributes</summary>

- `verdict` (string)
- `decision` (string: "accept", "reject", or "modify")
- `reason` (string, optional)
- `tool_name` (string, optional)

</details>

##### `gemini_cli.hook_call`

Logs execution of lifecycle hooks.

<details>
<summary>Attributes</summary>

- `hook_name` (string)
- `hook_type` (string)
- `duration_ms` (int)
- `success` (boolean)

</details>

##### `gemini_cli.tool_output_masking`

Logs when tool output is masked for privacy.

<details>
<summary>Attributes</summary>

- `tokens_before` (int)
- `tokens_after` (int)
- `masked_count` (int)
- `total_prunable_tokens` (int)

</details>

##### `gemini_cli.keychain.availability`

Logs keychain availability checks.

<details>
<summary>Attributes</summary>

- `available` (boolean)

##### `gemini_cli.startup_stats`

Logs detailed startup performance statistics.

<details>
<summary>Attributes</summary>

- `phases` (json array of startup phases)
- `os_platform` (string)
- `os_release` (string)
- `is_docker` (boolean)

</details>

</details>

### Metrics

Metrics provide numerical measurements of behavior over time.

#### Custom metrics

Gemini CLI exports several custom metrics.

##### Sessions

##### `gemini_cli.session.count`

Incremented once per CLI startup.

##### Onboarding

Tracks onboarding flow from authentication to the user

- `gemini_cli.onboarding.start` (Counter, Int): Incremented when the
  authentication flow begins.

- `gemini_cli.onboarding.success` (Counter, Int): Incremented when the user
onboarding flow completes successfully.
<details>
<summary>Attributes (Success)</summary>

- `user_tier` (string)

##### Tools

##### `gemini_cli.tool.call.count`

Counts tool calls.

<details>
<summary>Attributes</summary>

- `function_name` (string)
- `success` (boolean)
- `decision` (string: "accept", "reject", "modify", or "auto_accept")
- `tool_type` (string: "mcp" or "native")

</details>

##### `gemini_cli.tool.call.latency`

Measures tool call latency (in ms).

<details>
<summary>Attributes</summary>

- `function_name` (string)

</details>

##### API

##### `gemini_cli.api.request.count`

Counts all API requests.

<details>
<summary>Attributes</summary>

- `model` (string)
- `status_code` (int or string)
- `error_type` (string, optional)

</details>

##### `gemini_cli.api.request.latency`

Measures API request latency (in ms).

<details>
<summary>Attributes</summary>

- `model` (string)

</details>

##### Token usage

##### `gemini_cli.token.usage`

Counts input, output, thought, cache, and tool tokens.

<details>
<summary>Attributes</summary>

- `model` (string)
- `type` (string: "input", "output", "thought", "cache", or "tool")

</details>

##### Files

##### `gemini_cli.file.operation.count`

Counts file operations.

<details>
<summary>Attributes</summary>

- `operation` (string: "create", "read", or "update")
- `lines` (int, optional)
- `mimetype` (string, optional)
- `extension` (string, optional)
- `programming_language` (string, optional)

</details>

##### `gemini_cli.lines.changed`

Counts added or removed lines.

<details>
<summary>Attributes</summary>

- `function_name` (string, optional)
- `type` (string: "added" or "removed")

</details>

##### Chat and streaming

##### `gemini_cli.chat_compression`

Counts compression operations.

<details>
<summary>Attributes</summary>

- `tokens_before` (int)
- `tokens_after` (int)

</details>

##### `gemini_cli.chat.invalid_chunk.count`

Counts invalid stream chunks.

##### `gemini_cli.chat.content_retry.count`

Counts content error retries.

##### `gemini_cli.chat.content_retry_failure.count`

Counts requests where all retries failed.

##### Model routing

##### `gemini_cli.slash_command.model.call_count`

Counts model selections.

<details>
<summary>Attributes</summary>

- `slash_command.model.model_name` (string)

</details>

##### `gemini_cli.model_routing.latency`

Measures routing decision latency.

<details>
<summary>Attributes</summary>

- `routing.decision_model` (string)
- `routing.decision_source` (string)
- `routing.approval_mode` (string)

</details>

##### `gemini_cli.model_routing.failure.count`

Counts routing failures.

<details>
<summary>Attributes</summary>

- `routing.decision_source` (string)
- `routing.error_message` (string)
- `routing.approval_mode` (string)

</details>

##### Agent runs

##### `gemini_cli.agent.run.count`

Counts agent runs.

<details>
<summary>Attributes</summary>

- `agent_name` (string)
- `terminate_reason` (string)

</details>

##### `gemini_cli.agent.duration`

Measures agent run duration.

<details>
<summary>Attributes</summary>

- `agent_name` (string)

</details>

##### `gemini_cli.agent.turns`

Counts turns per agent run.

<details>
<summary>Attributes</summary>

- `agent_name` (string)

</details>

##### Approval mode

##### `gemini_cli.plan.execution.count`

Counts plan executions.

<details>
<summary>Attributes</summary>

- `approval_mode` (string)

</details>

##### UI

##### `gemini_cli.ui.flicker.count`

Counts terminal flicker events.

##### Performance

Gemini CLI provides detailed performance metrics for advanced monitoring.

##### `gemini_cli.startup.duration`

Measures startup time by phase.

<details>
<summary>Attributes</summary>

- `phase` (string)
- `details` (map, optional)

</details>

##### `gemini_cli.memory.usage`

Measures heap and RSS memory.

<details>
<summary>Attributes</summary>

- `memory_type` (string: "heap_used", "heap_total", "external", "rss")
- `component` (string, optional)

</details>

##### `gemini_cli.cpu.usage`

Measures CPU usage percentage.

<details>
<summary>Attributes</summary>

- `component` (string, optional)

</details>

##### `gemini_cli.tool.queue.depth`

Measures tool execution queue depth.

##### `gemini_cli.tool.execution.breakdown`

Breaks down tool time by phase.

<details>
<summary>Attributes</summary>

- `function_name` (string)
- `phase` (string: "validation", "preparation", "execution",
  "result_processing")

</details>

#### GenAI semantic convention

These metrics follow standard [OpenTelemetry GenAI semantic conventions].

- `gen_ai.client.token.usage`: Counts tokens used per operation.
- `gen_ai.client.operation.duration`: Measures operation duration in seconds.

[OpenTelemetry GenAI semantic conventions]:
  https://github.com/open-telemetry/semantic-conventions/blob/main/docs/gen-ai/gen-ai-metrics.md

### Traces

Traces provide an "under-the-hood" view of agent and backend operations. Use
traces to debug tool interactions and optimize performance.

<!-- prettier-ignore -->
> [!NOTE]
> Detailed trace attributes (like full prompts and tool outputs) are disabled by default
> to minimize overhead. You must explicitly set `telemetry.traces` to `true` (or set
> `GEMINI_TELEMETRY_TRACES_ENABLED=true`) to capture them.

Every trace captures rich metadata via standard span attributes.

<details open>
<summary>Standard span attributes</summary>

- `gen_ai.operation.name`: High-level operation (for example, `tool_call`,
  `llm_call`, `user_prompt`, `system_prompt`, `agent_call`, or
  `schedule_tool_calls`).
- `gen_ai.agent.name`: Set to `gemini-cli`.
- `gen_ai.agent.description`: The service agent description.
- `gen_ai.input.messages`: Input data or metadata.
- `gen_ai.output.messages`: Output data or results.
- `gen_ai.request.model`: Request model name.
- `gen_ai.response.model`: Response model name.
- `gen_ai.prompt.name`: The prompt name.
- `gen_ai.tool.name`: Executed tool name.
- `gen_ai.tool.call_id`: Unique ID for the tool call.
- `gen_ai.tool.description`: Tool description.
- `gen_ai.tool.definitions`: Tool definitions in JSON format.
- `gen_ai.usage.input_tokens`: Number of input tokens.
- `gen_ai.usage.output_tokens`: Number of output tokens.
- `gen_ai.system_instructions`: System instructions in JSON format.
- `gen_ai.conversation.id`: The CLI session ID.

</details>

For more details on semantic conventions for events, see the
[OpenTelemetry documentation](https://github.com/open-telemetry/semantic-conventions/blob/8b4f210f43136e57c1f6f47292eb6d38e3bf30bb/docs/gen-ai/gen-ai-events.md).
