fix(claude-code): fix example for using AI Bridge (#691)

Co-authored-by: 35C4n0r <70096901+35C4n0r@users.noreply.github.com>

.github/workflows/version-bump.yaml

@@ -41,7 +41,7 @@ jobs:
           LABEL_NAME: ${{ github.event.label.name }}
         id: bump-type
         run: |
-          case "$LABEL_NAME" in in
+          case "$LABEL_NAME" in
             "version:patch")
               echo "type=patch" >> $GITHUB_OUTPUT
               ;;

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        = "4.7.1"
+  version        = "4.7.3"
   agent_id       = coder_agent.main.id
   workdir        = "/home/coder/project"
   claude_api_key = "xxxx-xxxxx-xxxx"
@@ -47,7 +47,7 @@ By default, when `enable_boundary = true`, the module uses `coder boundary` subc
 ```tf
 module "claude-code" {
   source          = "registry.coder.com/coder/claude-code/coder"
-  version         = "4.7.1"
+  version         = "4.7.3"
   agent_id        = coder_agent.main.id
   workdir         = "/home/coder/project"
   enable_boundary = true
@@ -59,7 +59,7 @@ module "claude-code" {
 
 ### Usage with AI Bridge
 
-[AI Bridge](https://coder.com/docs/ai-coder/ai-bridge) is a Premium Coder feature that provides centralized LLM proxy management. To use AI Bridge, set `enable_aibridge = true`.
+[AI Bridge](https://coder.com/docs/ai-coder/ai-bridge) is a Premium Coder feature that provides centralized LLM proxy management. To use AI Bridge, set `enable_aibridge = true`. Requires Coder version >= 2.29.0.
 
 For tasks integration with AI Bridge, add `enable_aibridge = true` to the [Usage with Tasks](#usage-with-tasks) example below.
 
@@ -68,7 +68,7 @@ For tasks integration with AI Bridge, add `enable_aibridge = true` to the [Usage
 ```tf
 module "claude-code" {
   source          = "registry.coder.com/coder/claude-code/coder"
-  version         = "4.7.1"
+  version         = "4.7.3"
   agent_id        = coder_agent.main.id
   workdir         = "/home/coder/project"
   enable_aibridge = true
@@ -96,12 +96,11 @@ resource "coder_ai_task" "task" {
 data "coder_task" "me" {}
 
 module "claude-code" {
-  source         = "registry.coder.com/coder/claude-code/coder"
-  version        = "4.7.1"
-  agent_id       = coder_agent.main.id
-  workdir        = "/home/coder/project"
-  claude_api_key = "xxxx-xxxxx-xxxx"
-  ai_prompt      = data.coder_task.me.prompt
+  source    = "registry.coder.com/coder/claude-code/coder"
+  version   = "4.7.3"
+  agent_id  = coder_agent.main.id
+  workdir   = "/home/coder/project"
+  ai_prompt = data.coder_task.me.prompt
 
   # Optional: route through AI Bridge (Premium feature)
   # enable_aibridge = true
@@ -121,7 +120,7 @@ This example shows additional configuration options for version pinning, custom
 ```tf
 module "claude-code" {
   source   = "registry.coder.com/coder/claude-code/coder"
-  version  = "4.7.1"
+  version  = "4.7.3"
   agent_id = coder_agent.main.id
   workdir  = "/home/coder/project"
 
@@ -177,7 +176,7 @@ 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             = "4.7.1"
+  version             = "4.7.3"
   agent_id            = coder_agent.main.id
   workdir             = "/home/coder/project"
   install_claude_code = true
@@ -199,7 +198,7 @@ variable "claude_code_oauth_token" {
 
 module "claude-code" {
   source                  = "registry.coder.com/coder/claude-code/coder"
-  version                 = "4.7.1"
+  version                 = "4.7.3"
   agent_id                = coder_agent.main.id
   workdir                 = "/home/coder/project"
   claude_code_oauth_token = var.claude_code_oauth_token
@@ -210,7 +209,7 @@ module "claude-code" {
 
 #### Prerequisites
 
-AWS account with Bedrock access, Claude models enabled in Bedrock console, appropriate IAM permissions.
+AWS account with Bedrock access, Claude models enabled in Bedrock console, and appropriate IAM permissions.
 
 Configure Claude Code to use AWS Bedrock for accessing Claude models through your AWS infrastructure.
 
@@ -272,7 +271,7 @@ resource "coder_env" "bedrock_api_key" {
 
 module "claude-code" {
   source   = "registry.coder.com/coder/claude-code/coder"
-  version  = "4.7.1"
+  version  = "4.7.3"
   agent_id = coder_agent.main.id
   workdir  = "/home/coder/project"
   model    = "global.anthropic.claude-sonnet-4-5-20250929-v1:0"
@@ -286,7 +285,7 @@ module "claude-code" {
 
 #### 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).
+GCP project with Vertex AI API enabled, Claude models enabled through Model Garden, service account with Vertex AI permissions, and appropriate IAM permissions (Vertex AI User role).
 
 Configure Claude Code to use Google Vertex AI for accessing Claude models through Google Cloud Platform.
 
@@ -329,7 +328,7 @@ resource "coder_env" "google_application_credentials" {
 
 module "claude-code" {
   source   = "registry.coder.com/coder/claude-code/coder"
-  version  = "4.7.1"
+  version  = "4.7.3"
   agent_id = coder_agent.main.id
   workdir  = "/home/coder/project"
   model    = "claude-sonnet-4@20250514"

registry/coder/modules/claude-code/main.tf

@@ -1,5 +1,5 @@
 terraform {
-  required_version = ">= 1.0"
+  required_version = ">= 1.9"
 
   required_providers {
     coder = {