gemini-cli/docs/cli/telemetry.md

# Observability with OpenTelemetry

Learn how to enable and setup OpenTelemetry for Gemini CLI.

- [Observability with OpenTelemetry](#observability-with-opentelemetry)
  - [Key Benefits](#key-benefits)
  - [OpenTelemetry Integration](#opentelemetry-integration)
  - [Configuration](#configuration)
  - [Google Cloud Telemetry](#google-cloud-telemetry)
    - [Prerequisites](#prerequisites)
    - [Direct Export (Recommended)](#direct-export-recommended)
    - [Collector-Based Export (Advanced)](#collector-based-export-advanced)
  - [Local Telemetry](#local-telemetry)
    - [File-based Output (Recommended)](#file-based-output-recommended)
    - [Collector-Based Export (Advanced)](#collector-based-export-advanced-1)
  - [Logs and Metrics](#logs-and-metrics)
    - [Logs](#logs)
      - [Sessions](#sessions)
      - [Tools](#tools)
      - [Files](#files)
      - [API](#api)
      - [Model Routing](#model-routing)
      - [Chat and Streaming](#chat-and-streaming)
      - [Resilience](#resilience)
      - [Extensions](#extensions)
      - [Agent Runs](#agent-runs)
      - [IDE](#ide)
      - [UI](#ui)
    - [Metrics](#metrics)
      - [Custom](#custom)
        - [Sessions](#sessions-1)
        - [Tools](#tools-1)
        - [API](#api-1)
        - [Token Usage](#token-usage)
        - [Files](#files-1)
        - [Chat and Streaming](#chat-and-streaming-1)
        - [Model Routing](#model-routing-1)
        - [Agent Runs](#agent-runs-1)
        - [UI](#ui-1)
        - [Performance](#performance)
      - [GenAI Semantic Convention](#genai-semantic-convention)

## Key Benefits

- **🔍 Usage Analytics**: Understand interaction patterns and feature adoption
  across your team
- **⚡ Performance Monitoring**: Track response times, token consumption, and
  resource utilization
- **🐛 Real-time Debugging**: Identify bottlenecks, failures, and error patterns
  as they occur
- **📊 Workflow Optimization**: Make informed decisions to improve
  configurations and processes
- **🏢 Enterprise Governance**: Monitor usage across teams, track costs, ensure
  compliance, and integrate with existing monitoring infrastructure

## OpenTelemetry Integration

Built on **[OpenTelemetry]** — the vendor-neutral, industry-standard
observability framework — Gemini CLI's 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

All telemetry behavior is controlled through your `.gemini/settings.json` file.
These settings can be overridden by environment variables or CLI flags.

| Setting        | Environment Variable             | CLI Flag                                                 | Description                                       | Values            | Default                 |
| -------------- | -------------------------------- | -------------------------------------------------------- | ------------------------------------------------- | ----------------- | ----------------------- |
| `enabled`      | `GEMINI_TELEMETRY_ENABLED`       | `--telemetry` / `--no-telemetry`                         | Enable or disable telemetry                       | `true`/`false`    | `false`                 |
| `target`       | `GEMINI_TELEMETRY_TARGET`        | `--telemetry-target <local\|gcp>`                        | Where to send telemetry data                      | `"gcp"`/`"local"` | `"local"`               |
| `otlpEndpoint` | `GEMINI_TELEMETRY_OTLP_ENDPOINT` | `--telemetry-otlp-endpoint <URL>`                        | OTLP collector endpoint                           | URL string        | `http://localhost:4317` |
| `otlpProtocol` | `GEMINI_TELEMETRY_OTLP_PROTOCOL` | `--telemetry-otlp-protocol <grpc\|http>`                 | OTLP transport protocol                           | `"grpc"`/`"http"` | `"grpc"`                |
| `outfile`      | `GEMINI_TELEMETRY_OUTFILE`       | `--telemetry-outfile <path>`                             | Save telemetry to file (overrides `otlpEndpoint`) | file path         | -                       |
| `logPrompts`   | `GEMINI_TELEMETRY_LOG_PROMPTS`   | `--telemetry-log-prompts` / `--no-telemetry-log-prompts` | Include prompts in telemetry logs                 | `true`/`false`    | `true`                  |
| `useCollector` | `GEMINI_TELEMETRY_USE_COLLECTOR` | -                                                        | Use external OTLP collector (advanced)            | `true`/`false`    | `false`                 |

**Note on boolean environment variables:** For the boolean settings (`enabled`,
`logPrompts`, `useCollector`), setting the corresponding environment variable to
`true` or `1` will enable the feature. Any other value will disable it.

For detailed information about all configuration options, see the
[Configuration Guide](../get-started/configuration.md).

## Google Cloud Telemetry

### Prerequisites

Before using either method below, complete these steps:

1. Set your Google Cloud project ID:
   - For telemetry in a separate project from inference:
     ```bash
     export OTLP_GOOGLE_CLOUD_PROJECT="your-telemetry-project-id"
     ```
   - For telemetry in the same project as inference:
     ```bash
     export GOOGLE_CLOUD_PROJECT="your-project-id"
     ```

2. Authenticate with Google Cloud:
   - If using a user account:
     ```bash
     gcloud auth application-default login
     ```
   - If using a service account:
     ```bash
     export GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account.json"
     ```
3. Make sure your account or service account has these IAM roles:
   - Cloud Trace Agent
   - Monitoring Metric Writer
   - Logs Writer

4. Enable the required Google Cloud APIs (if not already enabled):
   ```bash
   gcloud services enable \
     cloudtrace.googleapis.com \
     monitoring.googleapis.com \
     logging.googleapis.com \
     --project="$OTLP_GOOGLE_CLOUD_PROJECT"
   ```

### Direct Export (Recommended)

Sends telemetry directly to Google Cloud services. No collector needed.

1. Enable telemetry in your `.gemini/settings.json`:
   ```json
   {
     "telemetry": {
       "enabled": true,
       "target": "gcp"
     }
   }
   ```
2. Run Gemini CLI and send prompts.
3. View logs and metrics:
   - Open the Google Cloud Console in your browser after sending prompts:
     - Logs: https://console.cloud.google.com/logs/
     - Metrics: https://console.cloud.google.com/monitoring/metrics-explorer
     - Traces: https://console.cloud.google.com/traces/list

### Collector-Based Export (Advanced)

For custom processing, filtering, or routing, use an OpenTelemetry collector to
forward data to Google Cloud.

1. Configure your `.gemini/settings.json`:
   ```json
   {
     "telemetry": {
       "enabled": true,
       "target": "gcp",
       "useCollector": true
     }
   }
   ```
2. Run the automation script:
   ```bash
   npm run telemetry -- --target=gcp
   ```
   This will:
   - Start a local OTEL collector that forwards to Google Cloud
   - Configure your workspace
   - Provide links to view traces, metrics, and logs in Google Cloud Console
   - Save collector logs to `~/.gemini/tmp/<projectHash>/otel/collector-gcp.log`
   - Stop collector on exit (e.g. `Ctrl+C`)
3. Run Gemini CLI and send prompts.
4. View logs and metrics:
   - Open the Google Cloud Console in your browser after sending prompts:
     - Logs: https://console.cloud.google.com/logs/
     - Metrics: https://console.cloud.google.com/monitoring/metrics-explorer
     - Traces: https://console.cloud.google.com/traces/list
   - Open `~/.gemini/tmp/<projectHash>/otel/collector-gcp.log` to view local
     collector logs.

## Local Telemetry

For local development and debugging, you can capture telemetry data locally:

### File-based Output (Recommended)

1. Enable telemetry in your `.gemini/settings.json`:
   ```json
   {
     "telemetry": {
       "enabled": true,
       "target": "local",
       "otlpEndpoint": "",
       "outfile": ".gemini/telemetry.log"
     }
   }
   ```
2. Run Gemini CLI and send prompts.
3. View logs and metrics in the specified file (e.g., `.gemini/telemetry.log`).

### Collector-Based Export (Advanced)

1. Run the automation script:
   ```bash
   npm run telemetry -- --target=local
   ```
   This will:
   - Download and start Jaeger and OTEL collector
   - Configure your workspace for local telemetry
   - Provide a Jaeger UI at http://localhost:16686
   - Save logs/metrics to `~/.gemini/tmp/<projectHash>/otel/collector.log`
   - Stop collector on exit (e.g. `Ctrl+C`)
2. Run Gemini CLI and send prompts.
3. View traces at http://localhost:16686 and logs/metrics in the collector log
   file.

## Logs and Metrics

The following section describes the structure of logs and metrics generated for
Gemini CLI.

The `session.id`, `installation.id`, and `user.email` are included as common
attributes on all logs and metrics.

### Logs

Logs are timestamped records of specific events. The following events are logged
for Gemini CLI, grouped by category.

#### Sessions

Captures startup configuration and user prompt submissions.

- `gemini_cli.config`: Emitted once at startup with the CLI configuration.
  - **Attributes**:
    - `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)
    - `extensions` (string)
    - `extension_ids` (string)
    - `extension_count` (int)
    - `mcp_tools` (string, if applicable)
    - `mcp_tools_count` (int, if applicable)
    - `output_format` ("text", "json", or "stream-json")

- `gemini_cli.user_prompt`: Emitted when a user submits a prompt.
  - **Attributes**:
    - `prompt_length` (int)
    - `prompt_id` (string)
    - `prompt` (string; excluded if `telemetry.logPrompts` is `false`)
    - `auth_type` (string)

#### Tools

Captures tool executions, output truncation, and Smart Edit behavior.

- `gemini_cli.tool_call`: Emitted for each tool (function) call.
  - **Attributes**:
    - `function_name`
    - `function_args`
    - `duration_ms`
    - `success` (boolean)
    - `decision` ("accept", "reject", "auto_accept", or "modify", if applicable)
    - `error` (if applicable)
    - `error_type` (if applicable)
    - `prompt_id` (string)
    - `tool_type` ("native" or "mcp")
    - `mcp_server_name` (string, if applicable)
    - `content_length` (int, if applicable)
    - `metadata` (if applicable)

- `gemini_cli.tool_output_truncated`: Output of a tool call was truncated.
  - **Attributes**:
    - `tool_name` (string)
    - `original_content_length` (int)
    - `truncated_content_length` (int)
    - `threshold` (int)
    - `lines` (int)
    - `prompt_id` (string)

- `gemini_cli.smart_edit_strategy`: Smart Edit strategy chosen.
  - **Attributes**:
    - `strategy` (string)

- `gemini_cli.smart_edit_correction`: Smart Edit correction result.
  - **Attributes**:
    - `correction` ("success" | "failure")

- `gen_ai.client.inference.operation.details`: This event provides detailed
  information about the GenAI operation, aligned with [OpenTelemetry GenAI
  semantic conventions for events].
  - **Attributes**:
    - `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)

#### Files

Tracks file operations performed by tools.

- `gemini_cli.file_operation`: Emitted for each file operation.
  - **Attributes**:
    - `tool_name` (string)
    - `operation` ("create" | "read" | "update")
    - `lines` (int, optional)
    - `mimetype` (string, optional)
    - `extension` (string, optional)
    - `programming_language` (string, optional)

#### API

Captures Gemini API requests, responses, and errors.

- `gemini_cli.api_request`: Request sent to Gemini API.
  - **Attributes**:
    - `model` (string)
    - `prompt_id` (string)
    - `request_text` (string, optional)

- `gemini_cli.api_response`: Response received from Gemini API.
  - **Attributes**:
    - `model` (string)
    - `status_code` (int|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)
    - `response_text` (string, optional)
    - `prompt_id` (string)
    - `auth_type` (string)

- `gemini_cli.api_error`: API request failed.
  - **Attributes**:
    - `model` (string)
    - `error` (string)
    - `error_type` (string)
    - `status_code` (int|string)
    - `duration_ms` (int)
    - `prompt_id` (string)
    - `auth_type` (string)

- `gemini_cli.malformed_json_response`: `generateJson` response could not be
  parsed.
  - **Attributes**:
    - `model` (string)

#### Model Routing

Tracks model selections via slash commands and router decisions.

- `gemini_cli.slash_command`: A slash command was executed.
  - **Attributes**:
    - `command` (string)
    - `subcommand` (string, optional)
    - `status` ("success" | "error")

- `gemini_cli.slash_command.model`: Model was selected via slash command.
  - **Attributes**:
    - `model_name` (string)

- `gemini_cli.model_routing`: Model router made a decision.
  - **Attributes**:
    - `decision_model` (string)
    - `decision_source` (string)
    - `routing_latency_ms` (int)
    - `reasoning` (string, optional)
    - `failed` (boolean)
    - `error_message` (string, optional)

#### Chat and Streaming

Observes streaming integrity, compression, and retry behavior.

- `gemini_cli.chat_compression`: Chat context was compressed.
  - **Attributes**:
    - `tokens_before` (int)
    - `tokens_after` (int)

- `gemini_cli.chat.invalid_chunk`: Invalid chunk received from a stream.
  - **Attributes**:
    - `error.message` (string, optional)

- `gemini_cli.chat.content_retry`: Retry triggered due to a content error.
  - **Attributes**:
    - `attempt_number` (int)
    - `error_type` (string)
    - `retry_delay_ms` (int)
    - `model` (string)

- `gemini_cli.chat.content_retry_failure`: All content retries failed.
  - **Attributes**:
    - `total_attempts` (int)
    - `final_error_type` (string)
    - `total_duration_ms` (int, optional)
    - `model` (string)

- `gemini_cli.conversation_finished`: Conversation session ended.
  - **Attributes**:
    - `approvalMode` (string)
    - `turnCount` (int)

- `gemini_cli.next_speaker_check`: Next speaker determination.
  - **Attributes**:
    - `prompt_id` (string)
    - `finish_reason` (string)
    - `result` (string)

#### Resilience

Records fallback mechanisms for models and network operations.

- `gemini_cli.flash_fallback`: Switched to a flash model as fallback.
  - **Attributes**:
    - `auth_type` (string)

- `gemini_cli.ripgrep_fallback`: Switched to grep as fallback for file search.
  - **Attributes**:
    - `error` (string, optional)

- `gemini_cli.web_fetch_fallback_attempt`: Attempted web-fetch fallback.
  - **Attributes**:
    - `reason` ("private_ip" | "primary_failed")

#### Extensions

Tracks extension lifecycle and settings changes.

- `gemini_cli.extension_install`: An extension was installed.
  - **Attributes**:
    - `extension_name` (string)
    - `extension_version` (string)
    - `extension_source` (string)
    - `status` (string)

- `gemini_cli.extension_uninstall`: An extension was uninstalled.
  - **Attributes**:
    - `extension_name` (string)
    - `status` (string)

- `gemini_cli.extension_enable`: An extension was enabled.
  - **Attributes**:
    - `extension_name` (string)
    - `setting_scope` (string)

- `gemini_cli.extension_disable`: An extension was disabled.
  - **Attributes**:
    - `extension_name` (string)
    - `setting_scope` (string)

- `gemini_cli.extension_update`: An extension was updated.
  - **Attributes**:
    - `extension_name` (string)
    - `extension_version` (string)
    - `extension_previous_version` (string)
    - `extension_source` (string)
    - `status` (string)

#### Agent Runs

Tracks agent lifecycle and outcomes.

- `gemini_cli.agent.start`: Agent run started.
  - **Attributes**:
    - `agent_id` (string)
    - `agent_name` (string)

- `gemini_cli.agent.finish`: Agent run finished.
  - **Attributes**:
    - `agent_id` (string)
    - `agent_name` (string)
    - `duration_ms` (int)
    - `turn_count` (int)
    - `terminate_reason` (string)

#### IDE

Captures IDE connectivity and conversation lifecycle events.

- `gemini_cli.ide_connection`: IDE companion connection.
  - **Attributes**:
    - `connection_type` (string)

#### UI

Tracks terminal rendering issues and related signals.

- `kitty_sequence_overflow`: Terminal kitty control sequence overflow.
  - **Attributes**:
    - `sequence_length` (int)
    - `truncated_sequence` (string)

### Metrics

Metrics are numerical measurements of behavior over time.

#### Custom

##### Sessions

Counts CLI sessions at startup.

- `gemini_cli.session.count` (Counter, Int): Incremented once per CLI startup.

##### Tools

Measures tool usage and latency.

- `gemini_cli.tool.call.count` (Counter, Int): Counts tool calls.
  - **Attributes**:
    - `function_name`
    - `success` (boolean)
    - `decision` (string: "accept", "reject", "modify", or "auto_accept", if
      applicable)
    - `tool_type` (string: "mcp" or "native", if applicable)

- `gemini_cli.tool.call.latency` (Histogram, ms): Measures tool call latency.
  - **Attributes**:
    - `function_name`

##### API

Tracks API request volume and latency.

- `gemini_cli.api.request.count` (Counter, Int): Counts all API requests.
  - **Attributes**:
    - `model`
    - `status_code`
    - `error_type` (if applicable)

- `gemini_cli.api.request.latency` (Histogram, ms): Measures API request
  latency.
  - **Attributes**:
    - `model`
  - Note: Overlaps with `gen_ai.client.operation.duration` (GenAI conventions).

##### Token Usage

Tracks tokens used by model and type.

- `gemini_cli.token.usage` (Counter, Int): Counts tokens used.
  - **Attributes**:
    - `model`
    - `type` ("input", "output", "thought", "cache", or "tool")
  - Note: Overlaps with `gen_ai.client.token.usage` for `input`/`output`.

##### Files

Counts file operations with basic context.

- `gemini_cli.file.operation.count` (Counter, Int): Counts file operations.
  - **Attributes**:
    - `operation` ("create", "read", "update")
    - `lines` (Int, optional)
    - `mimetype` (string, optional)
    - `extension` (string, optional)
    - `programming_language` (string, optional)

- `gemini_cli.lines.changed` (Counter, Int): Number of lines changed (from file
  diffs).
  - **Attributes**:
    - `function_name`
    - `type` ("added" or "removed")

##### Chat and Streaming

Resilience counters for compression, invalid chunks, and retries.

- `gemini_cli.chat_compression` (Counter, Int): Counts chat compression
  operations.
  - **Attributes**:
    - `tokens_before` (Int)
    - `tokens_after` (Int)

- `gemini_cli.chat.invalid_chunk.count` (Counter, Int): Counts invalid chunks
  from streams.

- `gemini_cli.chat.content_retry.count` (Counter, Int): Counts retries due to
  content errors.

- `gemini_cli.chat.content_retry_failure.count` (Counter, Int): Counts requests
  where all content retries failed.

##### Model Routing

Routing latency/failures and slash-command selections.

- `gemini_cli.slash_command.model.call_count` (Counter, Int): Counts model
  selections via slash command.
  - **Attributes**:
    - `slash_command.model.model_name` (string)

- `gemini_cli.model_routing.latency` (Histogram, ms): Model routing decision
  latency.
  - **Attributes**:
    - `routing.decision_model` (string)
    - `routing.decision_source` (string)

- `gemini_cli.model_routing.failure.count` (Counter, Int): Counts model routing
  failures.
  - **Attributes**:
    - `routing.decision_source` (string)
    - `routing.error_message` (string)

##### Agent Runs

Agent lifecycle metrics: runs, durations, and turns.

- `gemini_cli.agent.run.count` (Counter, Int): Counts agent runs.
  - **Attributes**:
    - `agent_name` (string)
    - `terminate_reason` (string)

- `gemini_cli.agent.duration` (Histogram, ms): Agent run durations.
  - **Attributes**:
    - `agent_name` (string)

- `gemini_cli.agent.turns` (Histogram, turns): Turns taken per agent run.
  - **Attributes**:
    - `agent_name` (string)

##### UI

UI stability signals such as flicker count.

- `gemini_cli.ui.flicker.count` (Counter, Int): Counts UI frames that flicker
  (render taller than terminal).

##### Performance

Optional performance monitoring for startup, CPU/memory, and phase timing.

- `gemini_cli.startup.duration` (Histogram, ms): CLI startup time by phase.
  - **Attributes**:
    - `phase` (string)
    - `details` (map, optional)

- `gemini_cli.memory.usage` (Histogram, bytes): Memory usage.
  - **Attributes**:
    - `memory_type` ("heap_used", "heap_total", "external", "rss")
    - `component` (string, optional)

- `gemini_cli.cpu.usage` (Histogram, percent): CPU usage percentage.
  - **Attributes**:
    - `component` (string, optional)

- `gemini_cli.tool.queue.depth` (Histogram, count): Number of tools in the
  execution queue.

- `gemini_cli.tool.execution.breakdown` (Histogram, ms): Tool time by phase.
  - **Attributes**:
    - `function_name` (string)
    - `phase` ("validation", "preparation", "execution", "result_processing")

- `gemini_cli.api.request.breakdown` (Histogram, ms): API request time by phase.
  - **Attributes**:
    - `model` (string)
    - `phase` ("request_preparation", "network_latency", "response_processing",
      "token_processing")

- `gemini_cli.token.efficiency` (Histogram, ratio): Token efficiency metrics.
  - **Attributes**:
    - `model` (string)
    - `metric` (string)
    - `context` (string, optional)

- `gemini_cli.performance.score` (Histogram, score): Composite performance
  score.
  - **Attributes**:
    - `category` (string)
    - `baseline` (number, optional)

- `gemini_cli.performance.regression` (Counter, Int): Regression detection
  events.
  - **Attributes**:
    - `metric` (string)
    - `severity` ("low", "medium", "high")
    - `current_value` (number)
    - `baseline_value` (number)

- `gemini_cli.performance.regression.percentage_change` (Histogram, percent):
  Percent change from baseline when regression detected.
  - **Attributes**:
    - `metric` (string)
    - `severity` ("low", "medium", "high")
    - `current_value` (number)
    - `baseline_value` (number)

- `gemini_cli.performance.baseline.comparison` (Histogram, percent): Comparison
  to baseline.
  - **Attributes**:
    - `metric` (string)
    - `category` (string)
    - `current_value` (number)
    - `baseline_value` (number)

#### GenAI Semantic Convention

The following metrics comply with [OpenTelemetry GenAI semantic conventions] for
standardized observability across GenAI applications:

- `gen_ai.client.token.usage` (Histogram, token): Number of input and output
  tokens used per operation.
  - **Attributes**:
    - `gen_ai.operation.name` (string): The operation type (e.g.,
      "generate_content", "chat")
    - `gen_ai.provider.name` (string): The GenAI provider ("gcp.gen_ai" or
      "gcp.vertex_ai")
    - `gen_ai.token.type` (string): The token type ("input" or "output")
    - `gen_ai.request.model` (string, optional): The model name used for the
      request
    - `gen_ai.response.model` (string, optional): The model name that generated
      the response
    - `server.address` (string, optional): GenAI server address
    - `server.port` (int, optional): GenAI server port

- `gen_ai.client.operation.duration` (Histogram, s): GenAI operation duration in
  seconds.
  - **Attributes**:
    - `gen_ai.operation.name` (string): The operation type (e.g.,
      "generate_content", "chat")
    - `gen_ai.provider.name` (string): The GenAI provider ("gcp.gen_ai" or
      "gcp.vertex_ai")
    - `gen_ai.request.model` (string, optional): The model name used for the
      request
    - `gen_ai.response.model` (string, optional): The model name that generated
      the response
    - `server.address` (string, optional): GenAI server address
    - `server.port` (int, optional): GenAI server port
    - `error.type` (string, optional): Error type if the operation failed

[OpenTelemetry GenAI semantic conventions]:
  https://github.com/open-telemetry/semantic-conventions/blob/main/docs/gen-ai/gen-ai-metrics.md
[OpenTelemetry GenAI semantic conventions for events]:
  https://github.com/open-telemetry/semantic-conventions/blob/8b4f210f43136e57c1f6f47292eb6d38e3bf30bb/docs/gen-ai/gen-ai-events.md