docs: fix typos in documentation (#1411)

Co-authored-by: Dan Tedesco <dted@google.com>

docs/cli/authentication.md

@@ -52,7 +52,7 @@ The Gemini CLI requires you to authenticate with Google's AI services. On initia
           export GOOGLE_CLOUD_LOCATION="YOUR_PROJECT_LOCATION" # e.g., us-central1
           export GOOGLE_GENAI_USE_VERTEXAI=true
           ```
-        - For repeated use, you can add the environment variables to your `.env` file (located in the project directory or user home directory) or your shell's configuration file (like `~/.bashrc`, `~/.zshrc`, or `~/.profile`). For example, the following commands adds the environment variables to a `~/.bashrc` file:
+        - For repeated use, you can add the environment variables to your `.env` file (located in the project directory or user home directory) or your shell's configuration file (like `~/.bashrc`, `~/.zshrc`, or `~/.profile`). For example, the following commands add the environment variables to a `~/.bashrc` file:
           ```bash
           echo 'export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"' >> ~/.bashrc
           echo 'export GOOGLE_CLOUD_LOCATION="YOUR_PROJECT_LOCATION"' >> ~/.bashrc
@@ -60,13 +60,13 @@ The Gemini CLI requires you to authenticate with Google's AI services. On initia
           source ~/.bashrc
           ```
     - If using express mode:
-      - Set the `GOOGLE_API_KEY` environment variables. In the following methods, replace `YOUR_GOOGLE_API_KEY` with your Vertex AI API key provided by express mode:
+      - Set the `GOOGLE_API_KEY` environment variable. In the following methods, replace `YOUR_GOOGLE_API_KEY` with your Vertex AI API key provided by express mode:
         - You can temporarily set these environment variables in your current shell session using the following commands:
           ```bash
           export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"
           export GOOGLE_GENAI_USE_VERTEXAI=true
           ```
-        - For repeated use, you can add the environment variables to your `.env` file (located in the project directory or user home directory) or your shell's configuration file (like `~/.bashrc`, `~/.zshrc`, or `~/.profile`). For example, the following commands adds the environment variables to a `~/.bashrc` file:
+        - For repeated use, you can add the environment variables to your `.env` file (located in the project directory or user home directory) or your shell's configuration file (like `~/.bashrc`, `~/.zshrc`, or `~/.profile`). For example, the following commands add the environment variables to a `~/.bashrc` file:
           ```bash
           echo 'export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"' >> ~/.bashrc
           echo 'export GOOGLE_GENAI_USE_VERTEXAI=true' >> ~/.bashrc

docs/cli/configuration.md

@@ -165,7 +165,7 @@ In addition to a project settings file, a project's `.gemini` directory can cont
   - **Description:** Configures logging and metrics collection for Gemini CLI. For more information, see [Telemetry](../telemetry.md).
   - **Default:** `{"enabled": false, "target": "local", "otlpEndpoint": "http://localhost:4317", "logPrompts": true}`
   - **Properties:**
-    - **`enabled`** (boolean): Whether or not telemtery is enabled.
+    - **`enabled`** (boolean): Whether or not telemetry is enabled.
     - **`target`** (string): The destination for collected telemetry. Supported values are `local` and `gcp`.
     - **`otlpEndpoint`** (string): The endpoint for the OTLP Exporter.
     - **`logPrompts`** (boolean): Whether or not to include the content of user prompts in the logs.
@@ -243,7 +243,7 @@ The CLI automatically loads environment variables from an `.env` file. The loadi
   - Your Google Cloud API key.
   - Required for using Vertex AI in express mode.
   - Ensure you have the necessary permissions and set the `GOOGLE_GENAI_USE_VERTEXAI=true` environment variable.
-  - Example: `export GOOGLE_API_KEY="YOUR_GOOGLE_API_ KEY"`.
+  - Example: `export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"`.
 - **`GOOGLE_CLOUD_PROJECT`**:
   - Your Google Cloud Project ID.
   - Required for using Code Assist or Vertex AI.

docs/deployment.md

@@ -73,7 +73,7 @@ Contributors to the project will want to run the CLI directly from the source co
 
 ### 4. Running the latest Gemini CLI commit from GitHub
 
-You can run the most recently committed version of Gemini CLI directly from the GitHub repository. This is useful for testing features still in developement.
+You can run the most recently committed version of Gemini CLI directly from the GitHub repository. This is useful for testing features still in development.
 
 ```bash
 # Execute the CLI directly from the main branch on GitHub

docs/integration-tests.md

@@ -18,7 +18,7 @@ The integration tests can also be run using the following shortcut:
 npm run test:e2e
 ```
 
-## Running a specfic set of tests
+## Running a specific set of tests
 
 To run a subset of test files, you can use `npm run <integration test command> <file_name1> ....` where <integration test command> is either `test:e2e` or `test:integration*` and `<file_name>` is any of the `.test.js` files in the `integration-tests/` directory. For example, the following command runs `list_directory.test.js` and `write_file.test.js`:
 

docs/sandbox.md

@@ -7,7 +7,7 @@ This document provides a guide to sandboxing in the Gemini CLI, including prereq
 Before using sandboxing, you need to install and set up the Gemini CLI:
 
 ```bash
-#install gemini-cli with npm
+# install gemini-cli with npm
 npm install -g @google/gemini-cli
 
 # Verify installation

docs/telemetry.md

@@ -132,7 +132,7 @@ Use the `npm run telemetry -- --target=gcp` command to automate setting up a loc
 
 ## Logs and metric reference
 
-The following section describes the struture of logs and metrics generated for Gemini CLI.
+The following section describes the structure of logs and metrics generated for Gemini CLI.
 
 - A `sessionId` is included as a common attribute on all logs and metrics.
 

docs/tools/web-search.md

@@ -14,7 +14,7 @@ Use `google_web_search` to perform a web search using Google Search via the Gemi
 
 ## How to use `google_web_search` with the Gemini CLI
 
-The `google_web_search` tool sends a query to the Gemini API, which then perform a web search. `google_web_search` will return a generated response based on the search results, including citations and sources.
+The `google_web_search` tool sends a query to the Gemini API, which then performs a web search. `google_web_search` will return a generated response based on the search results, including citations and sources.
 
 Usage:
 

docs/troubleshooting.md

@@ -24,7 +24,7 @@ This guide provides solutions to common issues and debugging tips.
   - **Solution:**
     Either stop the other process that is using the port or configure the MCP server to use a different port.
 
-- **Error: Command not found (when attempting the run Gemini CLI).**
+- **Error: Command not found (when attempting to run Gemini CLI).**
 
   - **Cause:** Gemini CLI is not correctly installed or not in your system's PATH.
   - **Solution:**

packages/cli/src/ui/components/DetailedMessagesDisplay.tsx

@@ -37,7 +37,7 @@ export const DetailedMessagesDisplay: React.FC<
     >
       <Box marginBottom={1}>
         <Text bold color={Colors.Foreground}>
-          Debug Console <Text color={Colors.Gray}>(ctrl+O to close)</Text>
+          Debug Console <Text color={Colors.Gray}>(ctrl+o to close)</Text>
         </Text>
       </Box>
       <MaxSizedBox maxHeight={maxHeight} maxWidth={width - borderAndPadding}>