docs: add usage examples for bedrock and vertex (#431)

Closes #

## Description

Adds Usage Examples for Vertex and Bedrock as described in the linked
documentation.

## Type of Change

- [ ] New module
- [ ] Bug fix
- [ ] Feature/enhancement
- [X] Documentation
- [ ] Other

## Module Information

<!-- Delete this section if not applicable -->

**Path:** `registry/coder/modules/claude-code`  
**New version:** `v3.0.1`  
**Breaking change:** [ ] Yes [X] No

## Testing & Validation

- [X] Tests pass (`bun test`)
- [X] Code formatted (`bun run fmt`)
- [ ] Changes tested locally

## Related Issues

<!-- Link related issues or write "None" if not applicable -->

registry/coder-labs/modules/codex/README.md

@@ -13,7 +13,7 @@ Run Codex CLI in your workspace to access OpenAI's models through the Codex inte
 ```tf
 module "codex" {
   source         = "registry.coder.com/coder-labs/codex/coder"
-  version        = "2.1.0"
+  version        = "2.1.1"
   agent_id       = coder_agent.example.id
   openai_api_key = var.openai_api_key
   folder         = "/home/coder/project"
@@ -33,7 +33,7 @@ module "codex" {
 module "codex" {
   count          = data.coder_workspace.me.start_count
   source         = "registry.coder.com/coder-labs/codex/coder"
-  version        = "2.1.0"
+  version        = "2.1.1"
   agent_id       = coder_agent.example.id
   openai_api_key = "..."
   folder         = "/home/coder/project"
@@ -60,7 +60,7 @@ module "coder-login" {
 
 module "codex" {
   source         = "registry.coder.com/coder-labs/codex/coder"
-  version        = "2.1.0"
+  version        = "2.1.1"
   agent_id       = coder_agent.example.id
   openai_api_key = "..."
   ai_prompt      = data.coder_parameter.ai_prompt.value
@@ -106,7 +106,7 @@ For custom Codex configuration, use `base_config_toml` and/or `additional_mcp_se
 ```tf
 module "codex" {
   source  = "registry.coder.com/coder-labs/codex/coder"
-  version = "2.1.0"
+  version = "2.1.1"
   # ... other variables ...
 
   # Override default configuration

registry/coder-labs/modules/codex/main.tf

@@ -131,6 +131,7 @@ module "agentapi" {
   version = "1.2.0"
 
   agent_id             = var.agent_id
+  folder               = var.folder
   web_app_slug         = local.app_slug
   web_app_order        = var.order
   web_app_group        = var.group

registry/coder/modules/claude-code/README.md

@@ -13,7 +13,7 @@ Run the [Claude Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude
 ```tf
 module "claude-code" {
   source         = "registry.coder.com/coder/claude-code/coder"
-  version        = "3.1.0"
+  version        = "3.1.1"
   agent_id       = coder_agent.example.id
   workdir        = "/home/coder/project"
   claude_api_key = "xxxx-xxxxx-xxxx"
@@ -49,7 +49,7 @@ data "coder_parameter" "ai_prompt" {
 
 module "claude-code" {
   source   = "registry.coder.com/coder/claude-code/coder"
-  version  = "3.1.0"
+  version  = "3.1.1"
   agent_id = coder_agent.example.id
   workdir  = "/home/coder/project"
 
@@ -85,7 +85,7 @@ Run and configure Claude Code as a standalone CLI in your workspace.
 ```tf
 module "claude-code" {
   source              = "registry.coder.com/coder/claude-code/coder"
-  version             = "3.1.0"
+  version             = "3.1.1"
   agent_id            = coder_agent.example.id
   workdir             = "/home/coder"
   install_claude_code = true
@@ -108,13 +108,168 @@ variable "claude_code_oauth_token" {
 
 module "claude-code" {
   source                  = "registry.coder.com/coder/claude-code/coder"
-  version                 = "3.0.3"
+  version                 = "3.1.1"
   agent_id                = coder_agent.example.id
   workdir                 = "/home/coder/project"
   claude_code_oauth_token = var.claude_code_oauth_token
 }
 ```
 
+### Usage with AWS Bedrock
+
+#### Prerequisites
+
+AWS account with Bedrock access, Claude models enabled in Bedrock console, appropriate IAM permissions.
+
+Configure Claude Code to use AWS Bedrock for accessing Claude models through your AWS infrastructure.
+
+```tf
+resource "coder_env" "bedrock_use" {
+  agent_id = coder_agent.example.id
+  name     = "CLAUDE_CODE_USE_BEDROCK"
+  value    = "1"
+}
+
+resource "coder_env" "aws_region" {
+  agent_id = coder_agent.example.id
+  name     = "AWS_REGION"
+  value    = "us-east-1" # Choose your preferred region
+}
+
+# Option 1: Using AWS credentials
+
+variable "aws_access_key_id" {
+  type        = string
+  description = "Your AWS access key ID. Create this in the AWS IAM console under 'Security credentials'."
+  sensitive   = true
+  value       = "xxxx-xxx-xxxx"
+}
+
+variable "aws_secret_access_key" {
+  type        = string
+  description = "Your AWS secret access key. This is shown once when you create an access key in the AWS IAM console."
+  sensitive   = true
+  value       = "xxxx-xxx-xxxx"
+}
+
+resource "coder_env" "aws_access_key_id" {
+  agent_id = coder_agent.example.id
+  name     = "AWS_ACCESS_KEY_ID"
+  value    = var.aws_access_key_id
+}
+
+resource "coder_env" "aws_secret_access_key" {
+  agent_id = coder_agent.example.id
+  name     = "AWS_SECRET_ACCESS_KEY"
+  value    = var.aws_secret_access_key
+}
+
+# Option 2: Using Bedrock API key (simpler)
+
+variable "aws_bearer_token_bedrock" {
+  type        = string
+  description = "Your AWS Bedrock bearer token. This provides access to Bedrock without needing separate access key and secret key."
+  sensitive   = true
+  value       = "xxxx-xxx-xxxx"
+}
+
+resource "coder_env" "bedrock_api_key" {
+  agent_id = coder_agent.example.id
+  name     = "AWS_BEARER_TOKEN_BEDROCK"
+  value    = var.aws_bearer_token_bedrock
+}
+
+module "claude-code" {
+  source   = "registry.coder.com/coder/claude-code/coder"
+  version  = "3.1.1"
+  agent_id = coder_agent.example.id
+  workdir  = "/home/coder/project"
+  model    = "global.anthropic.claude-sonnet-4-5-20250929-v1:0"
+}
+```
+
+> [!NOTE]
+> For additional Bedrock configuration options (model selection, token limits, region overrides, etc.), see the [Claude Code Bedrock documentation](https://docs.claude.com/en/docs/claude-code/amazon-bedrock).
+
+### Usage with Google Vertex AI
+
+#### Prerequisites
+
+GCP project with Vertex AI API enabled, Claude models enabled through Model Garden, service account with Vertex AI permissions, appropriate IAM permissions (Vertex AI User role).
+
+Configure Claude Code to use Google Vertex AI for accessing Claude models through Google Cloud Platform.
+
+```tf
+variable "vertex_sa_json" {
+  type        = string
+  description = "The complete JSON content of your Google Cloud service account key file. Create a service account in the GCP Console under 'IAM & Admin > Service Accounts', then create and download a JSON key. Copy the entire JSON content into this variable."
+  sensitive   = true
+}
+
+resource "coder_env" "vertex_use" {
+  agent_id = coder_agent.example.id
+  name     = "CLAUDE_CODE_USE_VERTEX"
+  value    = "1"
+}
+
+resource "coder_env" "vertex_project_id" {
+  agent_id = coder_agent.example.id
+  name     = "ANTHROPIC_VERTEX_PROJECT_ID"
+  value    = "your-gcp-project-id"
+}
+
+resource "coder_env" "cloud_ml_region" {
+  agent_id = coder_agent.example.id
+  name     = "CLOUD_ML_REGION"
+  value    = "global"
+}
+
+resource "coder_env" "vertex_sa_json" {
+  agent_id = coder_agent.example.id
+  name     = "VERTEX_SA_JSON"
+  value    = var.vertex_sa_json
+}
+
+resource "coder_env" "google_application_credentials" {
+  agent_id = coder_agent.example.id
+  name     = "GOOGLE_APPLICATION_CREDENTIALS"
+  value    = "/tmp/gcp-sa.json"
+}
+
+module "claude-code" {
+  source   = "registry.coder.com/coder/claude-code/coder"
+  version  = "3.1.1"
+  agent_id = coder_agent.example.id
+  workdir  = "/home/coder/project"
+  model    = "claude-sonnet-4@20250514"
+
+  pre_install_script = <<-EOT
+    #!/bin/bash
+    # Write the service account JSON to a file
+    echo "$VERTEX_SA_JSON" > /tmp/gcp-sa.json
+
+    # Install prerequisite packages
+    sudo apt-get update
+    sudo apt-get install -y apt-transport-https ca-certificates gnupg curl
+
+    # Add Google Cloud public key
+    curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo gpg --dearmor -o /usr/share/keyrings/cloud.google.gpg
+
+    # Add Google Cloud SDK repo to apt sources
+    echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" | sudo tee /etc/apt/sources.list.d/google-cloud-sdk.list
+
+    # Update and install the Google Cloud SDK
+    sudo apt-get update && sudo apt-get install -y google-cloud-cli
+
+    # Authenticate gcloud with the service account
+    gcloud auth activate-service-account --key-file=/tmp/gcp-sa.json
+  EOT
+}
+```
+
+> [!NOTE]
+> For additional Vertex AI configuration options (model selection, token limits, region overrides, etc.), see the [Claude Code Vertex AI documentation](https://docs.claude.com/en/docs/claude-code/google-vertex-ai).
+
 ## Troubleshooting
 
 If you encounter any issues, check the log files in the `~/.claude-module` directory within your workspace for detailed information.