feat: update auth setup in codex

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

@@ -13,10 +13,10 @@ 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        = "3.0.0"
   agent_id       = coder_agent.example.id
   openai_api_key = var.openai_api_key
-  folder         = "/home/coder/project"
+  workdir        = "/home/coder/project"
 }
 ```
 
@@ -33,10 +33,11 @@ module "codex" {
 module "codex" {
   count          = data.coder_workspace.me.start_count
   source         = "registry.coder.com/coder-labs/codex/coder"
-  version        = "2.1.0"
+  version        = "3.0.0"
   agent_id       = coder_agent.example.id
   openai_api_key = "..."
-  folder         = "/home/coder/project"
+  workdir        = "/home/coder/project"
+  report_tasks   = false
 }
 ```
 
@@ -60,11 +61,11 @@ module "coder-login" {
 
 module "codex" {
   source         = "registry.coder.com/coder-labs/codex/coder"
-  version        = "2.1.0"
+  version        = "3.0.0"
   agent_id       = coder_agent.example.id
   openai_api_key = "..."
   ai_prompt      = data.coder_parameter.ai_prompt.value
-  folder         = "/home/coder/project"
+  workdir        = "/home/coder/project"
 
   # Custom configuration for full auto mode
   base_config_toml = <<-EOT
@@ -75,7 +76,7 @@ module "codex" {
 ```
 
 > [!WARNING]
-> This module configures Codex with a `workspace-write` sandbox that allows AI tasks to read/write files in the specified folder. While the sandbox provides security boundaries, Codex can still modify files within the workspace. Use this module _only_ in trusted environments and be aware of the security implications.
+> This module configures Codex with a `workspace-write` sandbox that allows AI tasks to read/write files in the specified workdir. While the sandbox provides security boundaries, Codex can still modify files within the workspace. Use this module _only_ in trusted environments and be aware of the security implications.
 
 ## How it Works
 
@@ -106,7 +107,7 @@ 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 = "3.0.0"
   # ... other variables ...
 
   # Override default configuration
@@ -137,7 +138,7 @@ module "codex" {
 > [!IMPORTANT]
 > To use tasks with Codex CLI, ensure you have the `openai_api_key` variable set, and **you create a `coder_parameter` named `"AI Prompt"` and pass its value to the codex module's `ai_prompt` variable**. [Tasks Template Example](https://registry.coder.com/templates/coder-labs/tasks-docker).
 > The module automatically configures Codex with your API key and model preferences.
-> folder is a required variable for the module to function correctly.
+> workdir is a required variable for the module to function correctly.
 
 ## References
 

registry/coder-labs/modules/codex/main.test.ts

@@ -47,7 +47,7 @@ const setup = async (props?: SetupProps): Promise<{ id: string }> => {
       install_codex: props?.skipCodexMock ? "true" : "false",
       install_agentapi: props?.skipAgentAPIMock ? "true" : "false",
       codex_model: "gpt-4-turbo",
-      folder: "/home/coder",
+      workdir: "/home/coder",
       ...props?.moduleVariables,
     },
     registerCleanup,
@@ -166,20 +166,20 @@ describe("codex", async () => {
     expect(postInstallLog).toContain("post-install-script");
   });
 
-  test("folder-variable", async () => {
-    const folder = "/tmp/codex-test-folder";
+  test("workdir-variable", async () => {
+    const workdir = "/tmp/codex-test-workdir";
     const { id } = await setup({
       skipCodexMock: false,
       moduleVariables: {
-        folder,
+        workdir,
       },
     });
     await execModuleScript(id);
     const resp = await readFileContainer(
       id,
       "/home/coder/.codex-module/install.log",
     );
-    expect(resp).toContain(folder);
+    expect(resp).toContain(workdir);
   });
 
   test("additional-mcp-servers", async () => {

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

@@ -36,11 +36,41 @@ variable "icon" {
   default     = "/icon/openai.svg"
 }
 
-variable "folder" {
+variable "workdir" {
   type        = string
   description = "The folder to run Codex in."
 }
 
+variable "report_tasks" {
+  type        = bool
+  description = "Whether to enable task reporting to Coder UI via AgentAPI"
+  default     = true
+}
+
+variable "subdomain" {
+  type        = bool
+  description = "Whether to use a subdomain for AgentAPI."
+  default     = false
+}
+
+variable "cli_app" {
+  type        = bool
+  description = "Whether to create a CLI app for Codex"
+  default     = false
+}
+
+variable "web_app_display_name" {
+  type        = string
+  description = "Display name for the web app"
+  default     = "Codex"
+}
+
+variable "cli_app_display_name" {
+  type        = string
+  description = "Display name for the CLI app"
+  default     = "Codex CLI"
+}
+
 variable "install_codex" {
   type        = bool
   description = "Whether to install Codex."
@@ -135,11 +165,13 @@ module "agentapi" {
   web_app_order        = var.order
   web_app_group        = var.group
   web_app_icon         = var.icon
-  web_app_display_name = "Codex"
-  cli_app_slug         = "${local.app_slug}-cli"
-  cli_app_display_name = "Codex CLI"
+  web_app_display_name = var.web_app_display_name
+  cli_app              = var.cli_app
+  cli_app_slug         = var.cli_app ? "${local.app_slug}-cli" : null
+  cli_app_display_name = var.cli_app ? var.cli_app_display_name : null
   module_dir_name      = local.module_dir_name
   install_agentapi     = var.install_agentapi
+  agentapi_subdomain   = var.subdomain
   agentapi_version     = var.agentapi_version
   pre_install_script   = var.pre_install_script
   post_install_script  = var.post_install_script
@@ -151,8 +183,9 @@ module "agentapi" {
      echo -n '${base64encode(local.start_script)}' | base64 -d > /tmp/start.sh
      chmod +x /tmp/start.sh
      ARG_OPENAI_API_KEY='${var.openai_api_key}' \
+     ARG_REPORT_TASKS='${var.report_tasks}' \
      ARG_CODEX_MODEL='${var.codex_model}' \
-     ARG_CODEX_START_DIRECTORY='${var.folder}' \
+     ARG_CODEX_START_DIRECTORY='${var.workdir}' \
      ARG_CODEX_TASK_PROMPT='${base64encode(var.ai_prompt)}' \
      /tmp/start.sh
    EOT
@@ -164,12 +197,14 @@ module "agentapi" {
 
     echo -n '${base64encode(local.install_script)}' | base64 -d > /tmp/install.sh
     chmod +x /tmp/install.sh
+    ARG_OPENAI_API_KEY='${var.openai_api_key}' \
+    ARG_REPORT_TASKS='${var.report_tasks}' \
     ARG_INSTALL='${var.install_codex}' \
     ARG_CODEX_VERSION='${var.codex_version}' \
     ARG_BASE_CONFIG_TOML='${base64encode(var.base_config_toml)}' \
     ARG_ADDITIONAL_MCP_SERVERS='${base64encode(var.additional_mcp_servers)}' \
     ARG_CODER_MCP_APP_STATUS_SLUG='${local.app_slug}' \
-    ARG_CODEX_START_DIRECTORY='${var.folder}' \
+    ARG_CODEX_START_DIRECTORY='${var.workdir}' \
     ARG_CODEX_INSTRUCTION_PROMPT='${base64encode(var.codex_system_prompt)}' \
     /tmp/install.sh
   EOT

registry/coder-labs/modules/codex/scripts/install.sh

@@ -22,6 +22,8 @@ printf "Start Directory: %s\n" "$ARG_CODEX_START_DIRECTORY"
 printf "Has Base Config: %s\n" "$([ -n "$ARG_BASE_CONFIG_TOML" ] && echo "Yes" || echo "No")"
 printf "Has Additional MCP: %s\n" "$([ -n "$ARG_ADDITIONAL_MCP_SERVERS" ] && echo "Yes" || echo "No")"
 printf "Has System Prompt: %s\n" "$([ -n "$ARG_CODEX_INSTRUCTION_PROMPT" ] && echo "Yes" || echo "No")"
+printf "OpenAI API Key: %s\n" "$([ -n "$ARG_OPENAI_API_KEY" ] && echo "Provided" || echo "Not provided")"
+printf "Report Tasks: %s\n" "$ARG_REPORT_TASKS"
 echo "======================================"
 
 set +o nounset
@@ -100,13 +102,20 @@ EOF
 append_mcp_servers_section() {
   local config_path="$1"
 
+  if [ "${ARG_REPORT_TASKS}" == "false" ]; then
+    ARG_CODER_MCP_APP_STATUS_SLUG=""
+    CODER_MCP_AI_AGENTAPI_URL=""
+  else
+    CODER_MCP_AI_AGENTAPI_URL="http://localhost:3284"
+  fi
+
   cat << EOF >> "$config_path"
 
 # MCP Servers Configuration
 [mcp_servers.Coder]
 command = "coder"
 args = ["exp", "mcp", "server"]
-env = { "CODER_MCP_APP_STATUS_SLUG" = "${ARG_CODER_MCP_APP_STATUS_SLUG}", "CODER_MCP_AI_AGENTAPI_URL" = "http://localhost:3284", "CODER_AGENT_URL" = "${CODER_AGENT_URL}", "CODER_AGENT_TOKEN" = "${CODER_AGENT_TOKEN}" }
+env = { "CODER_MCP_APP_STATUS_SLUG" = "${ARG_CODER_MCP_APP_STATUS_SLUG}", "CODER_MCP_AI_AGENTAPI_URL" = "${CODER_MCP_AI_AGENTAPI_URL}" , "CODER_AGENT_URL" = "${CODER_AGENT_URL}", "CODER_AGENT_TOKEN" = "${CODER_AGENT_TOKEN}" }
 description = "Report ALL tasks and statuses (in progress, done, failed) you are working on."
 type = "stdio"
 
@@ -159,7 +168,21 @@ function add_instruction_prompt_if_exists() {
   fi
 }
 
+function add_auth_json() {
+  AUTH_JSON_PATH="$HOME/.codex/auth.json"
+  mkdir -p "$(dirname "$AUTH_JSON_PATH")"
+  AUTH_JSON=$(
+    cat << EOF
+{
+  "OPENAI_API_KEY": "${ARG_OPENAI_API_KEY}"
+}
+EOF
+  )
+  echo "$AUTH_JSON" > "$AUTH_JSON_PATH"
+}
+
 install_codex
 codex --version
 populate_config_toml
 add_instruction_prompt_if_exists
+add_auth_json

registry/coder-labs/modules/codex/scripts/start.sh

@@ -22,6 +22,7 @@ printf "OpenAI API Key: %s\n" "$([ -n "$ARG_OPENAI_API_KEY" ] && echo "Provided"
 printf "Codex Model: %s\n" "${ARG_CODEX_MODEL:-"Default"}"
 printf "Start Directory: %s\n" "$ARG_CODEX_START_DIRECTORY"
 printf "Has Task Prompt: %s\n" "$([ -n "$ARG_CODEX_TASK_PROMPT" ] && echo "Yes" || echo "No")"
+printf "Report Tasks: %s\n" "$ARG_REPORT_TASKS"
 echo "======================================"
 set +o nounset
 CODEX_ARGS=()
@@ -57,7 +58,11 @@ fi
 
 if [ -n "$ARG_CODEX_TASK_PROMPT" ]; then
   printf "Running the task prompt %s\n" "$ARG_CODEX_TASK_PROMPT"
-  PROMPT="Complete the task at hand in one go. Every step of the way, report your progress using coder_report_task tool with proper summary and statuses. Your task at hand: $ARG_CODEX_TASK_PROMPT"
+  if [ "${ARG_REPORT_TASKS}" == "true" ]; then
+    PROMPT="Complete the task at hand in one go. Every step of the way, report your progress using coder_report_task tool with proper summary and statuses. Your task at hand: $ARG_CODEX_TASK_PROMPT"
+  else
+    PROMPT="Your task at hand: $ARG_CODEX_TASK_PROMPT"
+  fi
   CODEX_ARGS+=("$PROMPT")
 else
   printf "No task prompt given.\n"