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add example dockerfile main.tf
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‎docs/ai-coder/claude-integration.md

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@@ -33,13 +33,24 @@ The easiest way to get started with Claude in Coder is to add the
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1. Add the Claude Code module to your template's `main.tf` file:
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```hcl
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# Add Claude Code module for integration
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module "claude-code" {
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source = "registry.coder.com/modules/claude-code/coder"
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version = "1.2.1"
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agent = var.agent # This connects the module to your agent
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experiment_use_screen = true # Enable reporting to Coder dashboard
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experiment_report_tasks = true # Show tasks in Coder UI
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# Required - connects to your workspace agent
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agent_id = coder_agent.main.id
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# Enable dashboard integration
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experiment_use_screen = true
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experiment_report_tasks = true
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}
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# Set environment variables for Claude configuration
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resource "coder_env" "claude_api_key" {
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agent_id = coder_agent.main.id
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name = "CLAUDE_API_KEY"
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value = var.anthropic_api_key
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}
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```
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}
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```
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1. Add another section to pass the API key to the module:
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```hcl
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module "claude-code" {
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# ... existing settings from above
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anthropic_api_key = var.anthropic_api_key
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}
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```
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1. With the `coder_env` resource above, your API key is already properly configured. No additional code is needed.
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1. Push your template:
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## Customize your Claude setup
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You can customize Claude's behavior with additional options:
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You can customize Claude's behavior with additional environment variables:
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```hcl
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module "claude-code" {
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# ... basic settings from above
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# full list at https://coder.com/docs/ai-coder/claude-integration#environment-variables-reference
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# Set environment variables to customize Claude behavior
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# Choose a specific Claude model
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model = "claude-3-7-sonnet-20240229"
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# Authentication
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resource "coder_env" "claude_api_key" {
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agent_id = coder_agent.main.id
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name = "CLAUDE_API_KEY"
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value = var.anthropic_api_key
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}
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# Give Claude specific instructions
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custom_system_prompt = "You are a Python expert focused on writing clean, efficient code."
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# Choose a specific Claude model (use Sonnet for best performance)
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resource "coder_env" "claude_model" {
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agent_id = coder_agent.main.id
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name = "CLAUDE_MODEL"
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value = "claude-3-sonnet-20240229"
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}
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# Add special capabilities through MCP
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additional_tools = ["playwright-mcp", "desktop-commander"]
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# Custom instructions
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resource "coder_env" "claude_system_prompt" {
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agent_id = coder_agent.main.id
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name = "CODER_MCP_CLAUDE_SYSTEM_PROMPT"
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value = "You are a Python expert focused on writing clean, efficient code."
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}
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# Set resource limits
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timeout_seconds = 300 # Maximum time for a single request
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# Add special capabilities through MCP
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resource "coder_env" "claude_mcp_instructions" {
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agent_id = coder_agent.main.id
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name = "CODER_MCP_INSTRUCTIONS"
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value = "Use playwright-mcp and desktop-commander tools when available"
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}
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# Claude Code module with dashboard integration
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module "claude-code" {
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# ... basic settings from above
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source = "registry.coder.com/modules/claude-code/coder"
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agent_id = coder_agent.main.id
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experiment_use_screen = true
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experiment_report_tasks = true
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}
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```
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‎docs/ai-coder/examples/Dockerfile

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FROM codercom/enterprise-base:ubuntu
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# Install dependencies needed for Claude Code and VS Code
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# Using NodeSource to get a more recent version of Node.js
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RUN apt-get update && \
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apt-get install -y \
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curl \
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git \
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jq \
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screen \
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sudo \
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wget \
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&& curl -fsSL https://deb.nodesource.com/setup_18.x | bash - \
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&& apt-get install -y nodejs \
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&& echo "Node.js version: $(node -v)" \
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&& echo "npm version: $(npm -v)" \
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&& rm -rf /var/lib/apt/lists/*
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# Create global npm directories with proper permissions
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RUN mkdir -p /usr/local/lib/node_modules && \
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chmod 777 /usr/local/lib/node_modules
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# Claude Code CLI is installed via npm
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# Install the npm package directly for immediate availability
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RUN npm install -g @anthropic-ai/claude-code
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# Set up user for Coder
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ARG USER=coder
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RUN useradd --groups sudo --create-home --shell /bin/bash ${USER} \
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&& echo "${USER} ALL=(ALL) NOPASSWD:ALL" >/etc/sudoers.d/${USER} \
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&& chmod 0440 /etc/sudoers.d/${USER}
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USER ${USER}
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WORKDIR /home/${USER}
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# Configure Claude for dashboard reporting
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ENV CODER_MCP_APP_STATUS_SLUG=claude

‎docs/ai-coder/examples/claude-coder-main.tf

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terraform {
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required_providers {
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coder = {
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source = "coder/coder"
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}
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docker = {
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source = "kreuzwerker/docker"
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}
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}
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}
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provider "docker" {}
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provider "coder" {}
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data "coder_workspace" "me" {}
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data "coder_workspace_owner" "me" {}
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locals {
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username = data.coder_workspace_owner.me.name
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}
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# Parameter for users to enter prompts directly from the workspace creation page
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data "coder_parameter" "ai_prompt" {
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type = "string"
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name = "AI Prompt"
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default = ""
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description = "Write a prompt for Claude Code"
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mutable = true
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ephemeral = true
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}
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resource "coder_agent" "main" {
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arch = "amd64"
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os = "linux"
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dir = "/home/${local.username}"
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startup_script = <<-EOT
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# Ensure screen is installed (required for Claude Code)
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if ! command -v screen &> /dev/null; then
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echo "Installing screen for Claude Code..."
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sudo apt-get update
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sudo apt-get install -y screen
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fi
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# Ensure Node.js and npm are installed
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if ! command -v node &> /dev/null; then
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echo "Installing Node.js and npm..."
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curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
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sudo apt-get install -y nodejs
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fi
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EOT
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env = {
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# Git configuration
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GIT_AUTHOR_NAME = data.coder_workspace_owner.me.name
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GIT_AUTHOR_EMAIL = data.coder_workspace_owner.me.email
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GIT_COMMITTER_NAME = data.coder_workspace_owner.me.name
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GIT_COMMITTER_EMAIL = data.coder_workspace_owner.me.email
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}
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# Basic workspace metrics
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metadata {
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display_name = "CPU Usage"
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key = "cpu_usage"
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script = "coder stat cpu"
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interval = 10
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timeout = 1
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}
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metadata {
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display_name = "RAM Usage"
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key = "ram_usage"
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script = "coder stat mem"
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interval = 10
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timeout = 1
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}
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}
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# Integrate Claude Code using the official module
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module "claude-code" {
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source = "registry.coder.com/modules/claude-code/coder"
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version = "1.2.1"
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agent_id = coder_agent.main.id
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# Enable dashboard visualization features
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experiment_use_screen = true
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experiment_report_tasks = true
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}
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# Configure Claude with Anthropic API key and Sonnet model
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resource "coder_env" "claude_api_key" {
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agent_id = coder_agent.main.id
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name = "CLAUDE_API_KEY"
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value = var.anthropic_api_key
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}
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resource "coder_env" "claude_model" {
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agent_id = coder_agent.main.id
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name = "CLAUDE_MODEL"
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value = "claude-3-sonnet-20240229"
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}
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# Pass parameter prompt to Claude Code
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resource "coder_env" "claude_task_prompt" {
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agent_id = coder_agent.main.id
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name = "CODER_MCP_CLAUDE_TASK_PROMPT"
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value = data.coder_parameter.ai_prompt.value
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}
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# Add VS Code integration
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module "code-server" {
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source = "registry.coder.com/modules/code-server/coder"
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version = "1.0.2"
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agent_id = coder_agent.main.id
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folder = "/home/${local.username}"
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}
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# Docker resources
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resource "docker_volume" "home_volume" {
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name = "coder-${data.coder_workspace.me.id}-home"
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lifecycle {
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ignore_changes = all
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}
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labels {
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label = "coder.workspace_id"
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value = data.coder_workspace.me.id
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}
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}
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resource "docker_image" "main" {
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name = "codercom/enterprise-base:ubuntu"
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}
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resource "docker_container" "workspace" {
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count = data.coder_workspace.me.start_count
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image = docker_image.main.name
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name = "coder-${data.coder_workspace_owner.me.name}-${lower(data.coder_workspace.me.name)}"
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hostname = data.coder_workspace.me.name
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env = ["CODER_AGENT_TOKEN=${coder_agent.main.token}"]
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entrypoint = ["sh", "-c", coder_agent.main.init_script]
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host {
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host = "host.docker.internal"
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ip = "host-gateway"
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}
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volumes {
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container_path = "/home/${local.username}"
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volume_name = docker_volume.home_volume.name
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read_only = false
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}
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labels {
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label = "coder.owner"
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value = data.coder_workspace_owner.me.name
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}
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labels {
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label = "coder.workspace_id"
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value = data.coder_workspace.me.id
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}
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}
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# Parameter for API authentication
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variable "anthropic_api_key" {
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type = string
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sensitive = true
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description = "Anthropic API key for Claude Sonnet integration"
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}
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# Output with usage instructions
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output "claude_usage_instructions" {
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value = "Claude 3 Sonnet is available in this workspace. Use it through the terminal with 'claude-code \"Your prompt\"' or through the VS Code extension."
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}

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