Configuration

Configuration Files

Station uses a hierarchical configuration system:

File	Purpose
`~/.config/station/config.yaml`	Global settings
`environments/{env}/template.json`	MCP server configurations
`environments/{env}/variables.yml`	Environment-specific variables
`environments/{env}/agents/*.prompt`	Agent definitions

Global Configuration

The main config.yaml file controls Station’s behavior:

# AI Provider Configuration
ai_provider: openai           # openai, anthropic, gemini, custom
ai_model: gpt-4o              # default model for agents
ai_api_key: ""                # or use STN_AI_API_KEY env var
ai_base_url: ""               # for custom providers

# Anthropic OAuth (for Claude Max/Pro subscribers)
ai_auth_type: oauth           # oauth or api_key
ai_oauth_token: ""            # set via `stn auth anthropic login`
ai_oauth_refresh_token: ""    # auto-managed
ai_oauth_expires_at: 0        # auto-managed

# Server Configuration
api_port: 8585                # REST API and Web UI
mcp_port: 8586                # MCP Server for AI editors
ssh_port: 2222                # SSH Admin Interface
admin_username: admin         # SSH username

# Database
database_url: /home/user/.config/station/station.db

# Operating Mode
local_mode: true              # true for standalone, false for CloudShip
debug: false                  # enable debug logging

# Telemetry
telemetry_enabled: false
otel_endpoint: http://localhost:4318

# CloudShip Integration
cloudship:
  enabled: false
  registration_key: ""
  endpoint: lighthouse.cloudship.ai:443

Environment Variables

All settings can be overridden via environment variables:

Variable	Config Key	Description
`STN_AI_PROVIDER`	`ai_provider`	AI provider name
`STN_AI_MODEL`	`ai_model`	Default model
`STN_AI_API_KEY`	`ai_api_key`	API key
`STN_AI_BASE_URL`	`ai_base_url`	Custom API endpoint
`STN_API_PORT`	`api_port`	API server port
`STN_MCP_PORT`	`mcp_port`	MCP server port
`STN_SSH_PORT`	`ssh_port`	SSH server port
`STATION_LOCAL_MODE`	`local_mode`	Local/CloudShip mode
`OTEL_EXPORTER_OTLP_ENDPOINT`	`otel_endpoint`	Telemetry endpoint

Environment variables take precedence over config file values.

AI Provider Authentication

Station supports multiple AI providers with different authentication methods.

OpenAI / Gemini (API Key)

ai_provider: openai
ai_model: gpt-4o
ai_api_key: sk-...  # or set STN_AI_API_KEY

Anthropic (API Key)

ai_provider: anthropic
ai_model: claude-sonnet-4-20250514
ai_api_key: sk-ant-api03-...

Anthropic OAuth (Claude Max/Pro)

Claude Max and Pro subscribers can use OAuth instead of an API key. This uses your existing subscription—no separate API billing.

# Login via browser
stn auth anthropic login

# Check token status
stn auth anthropic status
# Output: Token expires: 2025-12-30T16:59:42-06:00 (5h remaining)

# Logout
stn auth anthropic logout

After login, your config is automatically updated:

ai_provider: anthropic
ai_model: claude-sonnet-4-20250514
ai_auth_type: oauth
ai_oauth_token: sk-ant-oat01-...      # auto-set
ai_oauth_refresh_token: sk-ant-ort01-... # auto-set
ai_oauth_expires_at: 1767135582033    # auto-set

OAuth tokens expire after ~4 hours but are automatically refreshed before expiry. The refresh token is stored securely in your config.

Supported Claude Models:

claude-opus-4-5-20251101 (Claude 4.5 Opus)
claude-sonnet-4-20250514 (Claude 4 Sonnet)
claude-sonnet-4-5-20250929 (Claude 4.5 Sonnet)
claude-haiku-4-5-20251001 (Claude 4.5 Haiku)
claude-3-5-sonnet-20241022 (Claude 3.5 Sonnet)
claude-3-5-haiku-20241022 (Claude 3.5 Haiku)
claude-3-opus-20240229 (Claude 3 Opus)

MCP Server Configuration

Configure MCP servers in template.json:

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/workspace"],
      "env": {}
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_TOKEN": "{{GITHUB_TOKEN}}"
      }
    }
  }
}

Template Variables

Use {{VARIABLE_NAME}} syntax for dynamic values. Define them in variables.yml:

GITHUB_TOKEN: ghp_your_token_here
DATABASE_URL: postgresql://localhost/mydb

Or set them as environment variables - Station will prompt for missing values during stn sync.

Agent Configuration

Define agents in .prompt files using dotprompt format:

---
name: code-reviewer
description: Reviews code for best practices and security issues
model: openai/gpt-4o
tools:
  - filesystem_read
  - github_pr_comments
config:
  temperature: 0.7
  maxOutputTokens: 4096
input:
  schema:
    type: object
    properties:
      code:
        type: string
        description: The code to review
      language:
        type: string
        description: Programming language
output:
  schema:
    type: object
    properties:
      issues:
        type: array
        items:
          type: object
          properties:
            severity: { type: string }
            message: { type: string }
            line: { type: number }
---

You are an expert code reviewer. Analyze the provided {{language}} code and identify:

1. Security vulnerabilities
2. Performance issues
3. Best practice violations
4. Code style improvements

Code to review:
```{{language}}
{{code}}

Provide detailed feedback with line numbers where applicable.

## Port Configuration

Default ports and their purposes:

| Port | Service | Description |
|------|---------|-------------|
| 8585 | API/UI | REST API and Web management UI |
| 8586 | MCP | Model Context Protocol server |
| 8587 | Agent MCP | Dynamic Agent MCP (OAuth protected) |
| 2222 | SSH | SSH Admin Interface |

To change ports:

```yaml
# config.yaml
api_port: 9000
mcp_port: 9001
ssh_port: 2223

Or via environment:

STN_API_PORT=9000 STN_MCP_PORT=9001 stn serve

Telemetry Configuration

Enable OpenTelemetry for distributed tracing:

# config.yaml
telemetry_enabled: true
otel_endpoint: http://localhost:4318

Or start Jaeger and enable on the fly:

# Start Jaeger
stn jaeger up

# Start Station with telemetry
stn serve --enable-telemetry

Workflow and Embedded NATS

Station includes an embedded NATS server for workflow orchestration and OpenCode communication. This eliminates the need for a separate NATS installation in most deployments.

How Embedded NATS Works

When you start Station with workflows enabled (stn serve), it automatically:

Starts an embedded NATS server on port 4222
Configures workflow engine to use it
Allows OpenCode containers to connect via host.docker.internal:4222

┌─────────────────────────────────────────────────────────────┐
│  Station Process                                            │
│                                                             │
│  ┌─────────────────┐      ┌─────────────────────────────┐  │
│  │  Workflow Engine │─────▶│  Embedded NATS (port 4222)  │  │
│  └─────────────────┘      └─────────────────────────────┘  │
│                                    │                        │
└────────────────────────────────────│────────────────────────┘
                                     │
                                     ▼
                          ┌─────────────────────┐
                          │  OpenCode Container │
                          │  NATS_URL=nats://   │
                          │  host.docker.internal│
                          │  :4222              │
                          └─────────────────────┘

Environment Variables

Variable	Default	Description
`WORKFLOW_NATS_URL`	`nats://localhost:4222`	NATS server URL. If set to non-default, embedded NATS is disabled
`WORKFLOW_NATS_PORT`	`4222`	Port for embedded NATS server
`WORKFLOW_NATS_EMBEDDED`	Auto-detected	Force embedded NATS on (`true`) or off (`false`)

Auto-Detection Logic

Station automatically determines whether to use embedded NATS:

Condition	Result
`WORKFLOW_NATS_URL` not set or `nats://localhost:4222`	Embedded NATS enabled
`WORKFLOW_NATS_URL` set to external server	Embedded NATS disabled
`WORKFLOW_NATS_EMBEDDED=true`	Force embedded (overrides URL detection)
`WORKFLOW_NATS_EMBEDDED=false`	Force external (must set URL)

Configuration Examples

Embedded (Default)
Custom Embedded Port
External NATS
Force Behavior

No configuration needed—embedded NATS starts automatically:

# Just start Station
stn serve

# OpenCode container connects to:
# NATS_URL=nats://host.docker.internal:4222

Change the embedded NATS port:

WORKFLOW_NATS_PORT=4223 stn serve

# OpenCode container connects to:
# NATS_URL=nats://host.docker.internal:4223

Use an existing NATS server:

WORKFLOW_NATS_URL=nats://nats.example.com:4222 stn serve

# Embedded NATS is automatically disabled
# OpenCode container should connect to same external server

Override auto-detection:

# Force embedded even with custom URL
WORKFLOW_NATS_URL=nats://localhost:4222 \
WORKFLOW_NATS_EMBEDDED=true \
stn serve

# Force external (must provide URL)
WORKFLOW_NATS_EMBEDDED=false \
WORKFLOW_NATS_URL=nats://external:4222 \
stn serve

Docker Compose with Embedded NATS

When running Station on the host and OpenCode in a container:

version: '3.8'

services:
  opencode:
    image: ghcr.io/sst/opencode:latest
    environment:
      - NATS_URL=nats://host.docker.internal:4222
    extra_hosts:
      - "host.docker.internal:host-gateway"  # Required for Linux
    volumes:
      - ./workspaces:/workspaces

The extra_hosts configuration is only needed on Linux. macOS and Windows Docker Desktop include host.docker.internal automatically.

Verifying NATS Connectivity

# Check if embedded NATS is running
netstat -tlnp | grep 4222

# From OpenCode container, test connection
docker exec opencode-container nats-ping nats://host.docker.internal:4222

# View NATS logs (if using external)
nats server ping

CloudShip Integration

To connect to CloudShip platform:

# config.yaml
local_mode: false
cloudship:
  enabled: true
  registration_key: "your-key-from-cloudship-ui"
  endpoint: lighthouse.cloudship.ai:443

Get your registration key from CloudShip Dashboard.

Notify Tool

Enable agent notifications via webhooks (ntfy, Slack, etc.):

# config.yaml
notify:
  webhook_url: https://ntfy.sh/station
  api_key: tk_your_ntfy_api_key  # optional
  timeout_seconds: 10

Once configured, agents with notify: true in their frontmatter can send notifications:

---
model: openai/gpt-4o
notify: true
---
You can use the notify tool to alert users about task completion or errors.

Environment Variables

Variable	Description
`STN_NOTIFY_WEBHOOK_URL`	Webhook URL for notifications
`STN_NOTIFY_API_KEY`	API key/token for webhook auth
`STN_NOTIFY_TIMEOUT`	Request timeout in seconds

Supported Webhook Formats

Service	URL Format	Notes
ntfy.sh	`https://ntfy.sh/your-topic`	Supports title, priority, tags
Self-hosted ntfy	`https://ntfy.example.com/topic`	Same as ntfy.sh
Generic webhook	Any URL	Receives JSON payload

OpenCode Integration

Enable AI coding capabilities with OpenCode:

# config.yaml
coding:
  opencode:
    url: http://localhost:4096

Starting OpenCode

# Default (localhost only)
opencode

# For container mode (stn up) - REQUIRED
opencode --hostname 0.0.0.0

# Custom port
opencode --port 4000

When using stn up container mode, OpenCode must be started with --hostname 0.0.0.0 to allow connections from the container. Station automatically rewrites localhost to host.docker.internal in the container config.

Environment Variables

Variable	Description
`STN_OPENCODE_URL`	Override OpenCode server URL

OpenCode Backend

Full OpenCode integration guide with coding tools and workflows

Config Commands

Manage configuration via CLI:

# Show current config
stn config show

# Set a value
stn config set ai_model gpt-4o-mini

# Get a value
stn config get ai_provider

Get Started

Station CLI

Building Agents

Station Lattice

Deployment

Advanced

Configuration Files

Global Configuration

Environment Variables

AI Provider Authentication

OpenAI / Gemini (API Key)

Anthropic (API Key)

Anthropic OAuth (Claude Max/Pro)

MCP Server Configuration

Template Variables

Agent Configuration

Telemetry Configuration

Workflow and Embedded NATS

How Embedded NATS Works

Environment Variables

Auto-Detection Logic

Configuration Examples

Docker Compose with Embedded NATS

Verifying NATS Connectivity

CloudShip Integration

Notify Tool

Environment Variables

Supported Webhook Formats

OpenCode Integration

Starting OpenCode

Environment Variables

OpenCode Backend

Config Commands

Next Steps

Commands

Running Station

Get Started

Station CLI

Building Agents

Station Lattice

Deployment

Advanced

​Configuration Files

​Global Configuration

​Environment Variables

​AI Provider Authentication

​OpenAI / Gemini (API Key)

​Anthropic (API Key)

​Anthropic OAuth (Claude Max/Pro)

​MCP Server Configuration

​Template Variables

​Agent Configuration

​Telemetry Configuration

​Workflow and Embedded NATS

​How Embedded NATS Works

​Environment Variables

​Auto-Detection Logic

​Configuration Examples

​Docker Compose with Embedded NATS

​Verifying NATS Connectivity

​CloudShip Integration

​Notify Tool

​Environment Variables

​Supported Webhook Formats

​OpenCode Integration

​Starting OpenCode

​Environment Variables

OpenCode Backend

​Config Commands

​Next Steps

Commands

Running Station

Configuration Files

Global Configuration

Environment Variables

AI Provider Authentication

OpenAI / Gemini (API Key)

Anthropic (API Key)

Anthropic OAuth (Claude Max/Pro)

MCP Server Configuration

Template Variables

Agent Configuration

Telemetry Configuration

Workflow and Embedded NATS

How Embedded NATS Works

Environment Variables

Auto-Detection Logic

Configuration Examples

Docker Compose with Embedded NATS

Verifying NATS Connectivity

CloudShip Integration

Notify Tool

Environment Variables

Supported Webhook Formats

OpenCode Integration

Starting OpenCode

Environment Variables

Config Commands

Next Steps