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#750
### Telemetry Settings
Refactors telemetry configuration to use a nested `telemetry` object in `settings.json`, for example:
```json
{
"telemetry": {
"enabled": true,
"target": "gcp"
"log-prompts": "true"
},
"sandbox": false
}
```
The above includes
- Centralized telemetry settings under a `telemetry` object in `settings.json`.
- CLI flags for the `gemini` command to override all telemetry sub-settings:
- `--telemetry` / `--no-telemetry`
- `--telemetry-target <local|gcp>`
- `--telemetry-otlp-endpoint <URL>`
- `--telemetry-log-prompts` / `--no-telemetry-log-prompts`
- Updates `packages/cli/src/config/config.ts` and `packages/core/src/config/config.ts` to read from the new settings structure and respect the new CLI flags.
- Modifies `scripts/handle-telemetry.js`, `scripts/local_telemetry.js`, and `scripts/telemetry_utils.js` to align with the new settings structure.
- Updates `docs/core/telemetry.md` to reflect the new settings structure, CLI flags, and order of precedence.
- Renames `logUserPromptsEnabled` to `logPrompts` for brevity.
### `npm run telemetry`
Add a new `npm run telemetry` command that uses `scripts/telemetry.js`, automates the entire process of setting up a local and GCP telemetry pipelines, including configuring the necessary settings in the `.gemini/settings.json` workspace file and installing required binaries (e.g. `otelcol-contrib`).
---
```shell
$ npm run telemetry -- --target=gcp
> [email protected] telemetry
> node scripts/telemetry.js --target=gcp
โ๏ธ Using command-line target: gcp
๐ Running telemetry script for target: gcp.
โจ Starting Local Telemetry Exporter for Google Cloud โจ
โ๏ธ Enabled telemetry in workspace settings.
๐ง Set telemetry OTLP endpoint to http://localhost:4317.
๐ฏ Set telemetry target to gcp.
โ
Workspace settings updated.
โ
Using Google Cloud Project ID: foo-bar
๐ Please ensure you are authenticated with Google Cloud:
- Run `gcloud auth application-default login` OR ensure `GOOGLE_APPLICATION_CREDENTIALS` environment variable points to a valid service account key.
- The account needs "Cloud Trace Agent", "Monitoring Metric Writer", and "Logs Writer" roles.
โ
otelcol-contrib already exists at /Users/jerop/github/gemini-cli/.gemini/otel/bin/otelcol-contrib
๐งน Cleaning up old processes and logs...
โ
Deleted old GCP collector log.
๐ Wrote OTEL collector config to /Users/jerop/github/gemini-cli/.gemini/otel/collector-gcp.yaml
๐ Starting OTEL collector for GCP... Logs: /Users/jerop/github/gemini-cli/.gemini/otel/collector-gcp.log
โณ Waiting for OTEL collector to start (PID: 17013)...
โ
OTEL collector started successfully on port 4317.
โจ Local OTEL collector for GCP is running.
๐ To send telemetry, run the Gemini CLI in a separate terminal window.
๐ Collector logs are being written to: /Users/jerop/github/gemini-cli/.gemini/otel/collector-gcp.log
๐ View your telemetry data in Google Cloud Console:
- Logs: https://console.cloud.google.com/logs/query;query=logName%3D%22projects%2Ffoo-bar%2Flogs%2Fgemini_cli%22?project=foo-bar
- Metrics: https://console.cloud.google.com/monitoring/metrics-explorer?project=foo-bar
- Traces: https://console.cloud.google.com/traces/list?project=foo-bar
Press Ctrl+C to exit.
^C
๐ Shutting down...
โ๏ธ Disabled telemetry in workspace settings.
๐ง Cleared telemetry OTLP endpoint.
๐ฏ Cleared telemetry target.
โ
Workspace settings updated.
๐ Stopping otelcol-contrib (PID: 17013)...
โ
otelcol-contrib stopped.
```
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This change simplifies telemetry setup for users who want to integrate with GCP, as they no longer need to configure a local collector or an explicit endpoint if their project is already set up in the environment.
This change updates the telemetry system to automatically export traces, logs, and metrics to Google Cloud Platform (GCP) if the `GOOGLE_CLOUD_PROJECT` environment variable is set and no explicit `telemetryOtlpEndpoint` is configured by the user.
Key changes:
- The default `telemetryOtlpEndpoint` in `Config` is now an empty string.
- The `initializeTelemetry` SDK logic now prioritizes:
- User-defined `telemetryOtlpEndpoint`.
- `GOOGLE_CLOUD_PROJECT` for direct GCP export.
- Console exporters as a fallback.
- If an invalid `telemetryOtlpEndpoint` is provided, it falls back to console exporters with a warning.
#750
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Changes:
- Ensure proper shutdown in non-interactive mode
- Ensures the initial user prompt is logged in non-interactive mode
- Improve telemetry for streaming - handle chunks and input token count is now alongside other token counts in response
To test:
- Follow instructions in https://github.com/google-gemini/gemini-cli/blob/main/docs/core/telemetry.md#google-cloud
- Run CLI in non-interactive mode and observe logs/metrics in GCP Logs Explorer and Metrics Explorer
#750
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Refactor OpenTelemetry logging for API requests, responses, and errors. Moved logging responsibility from GeminiClient to GeminiChat for more detailed logging.
#750
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Add the user's decision (accept, reject, modify) to tool call telemetry to better understand user intent. The decision provides crucial context to the `success` metric, as a user can reject a call that would have succeeded or accept one that fails.
Also prettify the arguments json.
Example:
#750
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Adds the following attributes to the event:
- embedding_model
- api_key_enabled
- code_assist_enabled
- debug_mode
- mcp_servers
This additional data will provide more insight into user configurations.
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Adds the text content of the API response to the telemetry event. This provides more context for debugging and analysis without logging the entire, potentially large, response object.
- Adds an optional field to the type.
- Updates to include the field in the logged attributes.
- Modifies the to extract the response text using and pass it to the logger.
- Adds a new test file for the telemetry loggers, including tests for the function to verify the new functionality.
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This commit refactors the telemetry system to pass a object to various logging and metrics functions. This change centralizes configuration management within the telemetry system, making it more modular and easier to maintain.
The constructor and various tool execution functions have been updated to accept the object, which is then passed down to the telemetry functions. This eliminates the need to pass individual configuration values, such as , through multiple layers of the application.
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