docs: update Claude Code module to version 3.0.1 and add AWS Bedrock and Google Vertex AI usage examples

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DevelopmentCats 2025-09-24 19:52:59 -05:00
parent e516446d03
commit 571f921505

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@ -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 = "3.0.0"
version = "3.0.1"
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 = "3.0.0"
version = "3.0.1"
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 = "3.0.0"
version = "3.0.1"
agent_id = coder_agent.example.id
workdir = "/home/coder"
install_claude_code = true
@ -108,13 +108,107 @@ variable "claude_code_oauth_token" {
module "claude-code" {
source = "registry.coder.com/coder/claude-code/coder"
version = "3.0.0"
version = "3.0.1"
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
resource "coder_env" "aws_access_key" {
agent_id = coder_agent.example.id
name = "AWS_ACCESS_KEY_ID"
value = "your-access-key-id"
}
resource "coder_env" "aws_secret_key" {
agent_id = coder_agent.example.id
name = "AWS_SECRET_ACCESS_KEY"
value = "your-secret-access-key"
sensitive = true
}
# Option 2: Using Bedrock API key (simpler)
resource "coder_env" "bedrock_api_key" {
agent_id = coder_agent.example.id
name = "AWS_BEARER_TOKEN_BEDROCK"
value = "your-bedrock-api-key"
sensitive = true
}
module "claude-code" {
source = "registry.coder.com/coder/claude-code/coder"
version = "3.0.1"
agent_id = coder_agent.example.id
workdir = "/home/coder/project"
model = "us.anthropic.claude-3-7-sonnet-20250219-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, Google Cloud authentication configured, appropriate IAM permissions.
Configure Claude Code to use Google Vertex AI for accessing Claude models through Google Cloud Platform.
```tf
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"
}
module "claude-code" {
source = "registry.coder.com/coder/claude-code/coder"
version = "3.0.1"
agent_id = coder_agent.example.id
workdir = "/home/coder/project"
model = "claude-sonnet-4@20250514"
}
```
> [!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.