The `/bug` command tests in `slashCommandProcessor.test.ts` were flaky due to inconsistent CLI versioning.
This commit:
- Implements a flexible, top-level mock for `getCliVersion` that can be overridden per test.
- Sets a default mock value for `/bug` command tests via `beforeEach`.
- Overrides the mock in one test case requiring a specific version ('test-version').
- Ensures the test's helper `getExpectedUrl` receives the correct explicit version.
- Aligns the expected CLI version in the custom bug URL test with the default mock.
These changes ensure consistent CLI versioning in tests, resolving flakiness.
#1071
Introduces telemetry for file create, read, and update operations.
This change adds the `gemini_cli.file.operation.count` metric, recorded by the `read-file`, `read-many-files`, and `write-file` tools.
The metric includes the following attributes:
- `operation` (string: `create`, `read`, `update`): The type of file operation.
- `lines` (optional, Int): Number of lines in the file.
- `mimetype` (optional, string): Mimetype of the file.
- `extension` (optional, string): File extension of the file.
Here is a stacked bar chart of file operations by extension (`js`, `ts`, `md`):
Here is a stacked bar chart of file operations by type (`create`, `read`, `update`):
#750
cc @allenhutchison as discussed
#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
> gemini-cli@0.1.0 telemetry
> node scripts/telemetry.js --target=gcp
⚙️ Using command-line target: gcp
🚀 Running telemetry script for target: gcp.
✨ Starting Local Telemetry Exporter for Google Cloud ✨⚙️ Enabled telemetry in workspace settings.
🔧 Set telemetry OTLP endpoint to http://localhost:4317.
🎯 Set telemetry target to gcp.
✅ Workspace settings updated.
✅ Using Google Cloud Project ID: foo-bar
🔑 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.
✅ otelcol-contrib already exists at /Users/jerop/github/gemini-cli/.gemini/otel/bin/otelcol-contrib
🧹 Cleaning up old processes and logs...
✅ Deleted old GCP collector log.
📄 Wrote OTEL collector config to /Users/jerop/github/gemini-cli/.gemini/otel/collector-gcp.yaml
🚀 Starting OTEL collector for GCP... Logs: /Users/jerop/github/gemini-cli/.gemini/otel/collector-gcp.log
⏳ Waiting for OTEL collector to start (PID: 17013)...
✅ OTEL collector started successfully on port 4317.
✨ Local OTEL collector for GCP is running.
🚀 To send telemetry, run the Gemini CLI in a separate terminal window.
📄 Collector logs are being written to: /Users/jerop/github/gemini-cli/.gemini/otel/collector-gcp.log
📊 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
👋 Shutting down...
⚙️ Disabled telemetry in workspace settings.
🔧 Cleared telemetry OTLP endpoint.
🎯 Cleared telemetry target.
✅ Workspace settings updated.
🛑 Stopping otelcol-contrib (PID: 17013)...
✅ otelcol-contrib stopped.
```
Make several changes to guide the model to request absolute paths,
reducing frequent accidental relative path tool call failures.
- Switch the parameter name: path --> absolute_path.
- Update the tool definition to strongly require an absolute path.
- Update the system prompt to indicate absolute paths are required.
- Update the system prompt tool use examples to use absolute paths.
Test case:
Open GC in GC: "Locate the primary file calling genai"
- Expected: Model opens files with absolute path, successfully.
- Actual (pre-patch): Failure, attempts to read with relative path.
- Actual (post-patch): Success, attempts to read with absolute path.
Related to https://b.corp.google.com/issues/423605555 - I figured this might be a simpler solution to start with, while still also being useful on its own even if we do implement that.
Similar to ctrl+c, ctrl+d can now be used to exit the program. To avoid accidental exit, ctrl+d must be pressed twice in relatively quick succession (same as ctrl+c).
Following common UX pattern, ctrl+d will be ignored when the input prompt is non-empty. This behavior is similar to how most shell (bash/zsh) behaves. To support this, I had to refactor so that text buffer is initialized outside of the InputPrompt component and instead do it on the main App component to allow input controller to have access to check the content of the text buffer.
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
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
