dagu-rest-api
Guide for using the Dagu REST API. Use when programmatically managing workflows, querying execution status, or integrating Dagu with external systems.
What this skill does
# Dagu REST API
Use this skill when integrating Dagu with external systems, automating workflow operations, or programmatically managing workflows through the API.
## When to Use This Skill
Activate when:
- Triggering workflows programmatically
- Querying workflow status from applications
- Building automation around Dagu
- Integrating Dagu with CI/CD pipelines
- Creating custom dashboards or monitoring tools
- Scheduling workflows dynamically
- Fetching execution logs programmatically
## Core API Capabilities
The Dagu REST API provides endpoints for:
1. **Workflow Operations** - Start, stop, retry workflows
2. **Status Queries** - Get workflow and execution status
3. **DAG Management** - List and inspect workflow definitions
4. **Execution History** - Query past executions
5. **Log Retrieval** - Fetch execution logs
## Base URL
Default API base URL: `http://localhost:8080/api/v1`
Configure in Dagu settings if using a different host/port.
## Authentication
Consult `references/authentication.md` for details on:
- API token configuration
- Authentication headers
- Security best practices
## Quick Start Operations
### Start a Workflow
```bash
POST /dags/{dagName}/start
```
Basic example:
```bash
curl -X POST http://localhost:8080/api/v1/dags/my_workflow/start
```
For parameter passing and advanced options, see `references/workflow-operations.md`.
### Get Workflow Status
```bash
GET /dags/{dagName}/status
```
Returns current status, running steps, and execution details.
### Stop a Workflow
```bash
POST /dags/{dagName}/stop
```
Stops currently running execution.
## When to Consult References
- **Detailed endpoint documentation**: Read `references/api-endpoints.md`
- **Workflow operations (start/stop/retry)**: Read `references/workflow-operations.md`
- **Status and monitoring queries**: Read `references/status-queries.md`
- **Authentication setup**: Read `references/authentication.md`
- **Integration examples**: Read `references/integration-examples.md`
- **Error handling**: Read `references/error-handling.md`
## Common Use Cases
### CI/CD Integration
Trigger Dagu workflows from your CI/CD pipeline:
```bash
# In GitHub Actions, GitLab CI, etc.
curl -X POST http://dagu-server:8080/api/v1/dags/deploy_production/start \
-H "Content-Type: application/json" \
-d '{"params": "VERSION=1.2.3 ENVIRONMENT=production"}'
```
For complete CI/CD integration patterns, see `references/integration-examples.md`.
### Monitoring and Alerting
Query workflow status for external monitoring:
```bash
# Check if workflow is running
curl http://localhost:8080/api/v1/dags/critical_job/status
```
Build custom alerts based on status responses. See `references/status-queries.md` for response format details.
### Dynamic Scheduling
Trigger workflows based on external events:
```python
import requests
def trigger_workflow(dag_name, params=None):
url = f"http://localhost:8080/api/v1/dags/{dag_name}/start"
data = {"params": params} if params else {}
response = requests.post(url, json=data)
return response.json()
```
For comprehensive examples in multiple languages, see `references/integration-examples.md`.
## Response Formats
All API responses are JSON. Common response structure:
```json
{
"status": "success",
"data": { ... }
}
```
Error responses:
```json
{
"status": "error",
"message": "Error description"
}
```
For complete response schemas, consult `references/api-endpoints.md`.
## Key Principles
- **RESTful design**: Standard HTTP methods (GET, POST, DELETE)
- **JSON responses**: All responses in JSON format
- **Idempotent operations**: Safe to retry most operations
- **Error codes**: Standard HTTP status codes
- **Stateless**: Each request is independent
## Pro Tips
- Use the API for automation, use Web UI for manual operations
- Implement retry logic for network failures
- Cache DAG lists if querying frequently
- Use webhooks for event-driven workflows when possible
- Monitor API response times for performance issues
- Validate workflow names before calling API to avoid errors
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