# Aurora

## Docs

- [POST /api/auth/login](https://mintlify.wiki/Arvo-AI/aurora/api/auth/login.md): Authenticate user with email and password
- [Logout](https://mintlify.wiki/Arvo-AI/aurora/api/auth/logout.md): End user session and clear authentication
- [Authentication Overview](https://mintlify.wiki/Arvo-AI/aurora/api/auth/overview.md): Learn how Aurora handles user authentication and authorization
- [Token Management](https://mintlify.wiki/Arvo-AI/aurora/api/auth/token-management.md): Manage user credentials and cloud provider tokens
- [Chat Messages](https://mintlify.wiki/Arvo-AI/aurora/api/chat/messages.md): Send messages and interact with Aurora's AI agent
- [Chat Sessions](https://mintlify.wiki/Arvo-AI/aurora/api/chat/sessions.md): Manage chat sessions with the Aurora API
- [WebSocket Protocol](https://mintlify.wiki/Arvo-AI/aurora/api/chat/websocket.md): Real-time communication with Aurora's AI agent
- [Configure Connectors](https://mintlify.wiki/Arvo-AI/aurora/api/connectors/configure.md): Connect and configure cloud provider connectors
- [List Connectors](https://mintlify.wiki/Arvo-AI/aurora/api/connectors/list.md): Get available cloud provider connectors and connection status
- [OAuth Flow](https://mintlify.wiki/Arvo-AI/aurora/api/connectors/oauth-flow.md): OAuth 2.0 authentication flows for cloud providers
- [Liveness & Readiness Probes](https://mintlify.wiki/Arvo-AI/aurora/api/health/metrics.md): Kubernetes-compatible health probe endpoints
- [Health Status](https://mintlify.wiki/Arvo-AI/aurora/api/health/status.md): Comprehensive health check endpoint for all Aurora services
- [Create Incident](https://mintlify.wiki/Arvo-AI/aurora/api/incidents/create.md): Information about incident creation in Aurora
- [Delete Incident](https://mintlify.wiki/Arvo-AI/aurora/api/incidents/delete.md): Information about incident deletion in Aurora
- [Get Incident](https://mintlify.wiki/Arvo-AI/aurora/api/incidents/get.md): Retrieve detailed information about a specific incident
- [List Incidents](https://mintlify.wiki/Arvo-AI/aurora/api/incidents/list.md): Retrieve all incidents for the authenticated user
- [Update Incident](https://mintlify.wiki/Arvo-AI/aurora/api/incidents/update.md): Update incident status and metadata
- [Agent System](https://mintlify.wiki/Arvo-AI/aurora/architecture/agent-system.md): LangGraph agent workflow and tool execution
- [Data Flow](https://mintlify.wiki/Arvo-AI/aurora/architecture/data-flow.md): How data flows through the Aurora system
- [Architecture Overview](https://mintlify.wiki/Arvo-AI/aurora/architecture/overview.md): High-level architecture of the Aurora platform
- [Service Components](https://mintlify.wiki/Arvo-AI/aurora/architecture/services.md): Detailed service configuration and communication patterns
- [Environment Variables](https://mintlify.wiki/Arvo-AI/aurora/configuration/environment-variables.md): Complete reference for all Aurora environment variables
- [LLM Provider Configuration](https://mintlify.wiki/Arvo-AI/aurora/configuration/llm-providers.md): Configure LLM providers (OpenRouter, OpenAI, Anthropic, Google) for Aurora's AI agents
- [Object Storage Configuration](https://mintlify.wiki/Arvo-AI/aurora/configuration/storage.md): S3-compatible storage configuration for Aurora (SeaweedFS, AWS S3, Cloudflare R2, MinIO)
- [Vault Secrets Management](https://mintlify.wiki/Arvo-AI/aurora/configuration/vault-secrets.md): HashiCorp Vault configuration and secrets management in Aurora
- [Docker Compose Deployment](https://mintlify.wiki/Arvo-AI/aurora/deployment/docker-compose.md): Deploy Aurora using Docker Compose for development and local testing
- [Kubernetes Deployment](https://mintlify.wiki/Arvo-AI/aurora/deployment/kubernetes.md): Deploy Aurora on Kubernetes using Helm for production workloads
- [Production Deployment Best Practices](https://mintlify.wiki/Arvo-AI/aurora/deployment/production-considerations.md): Security, reliability, and operational best practices for production Aurora deployments
- [Scaling Aurora](https://mintlify.wiki/Arvo-AI/aurora/deployment/scaling.md): Scale Aurora horizontally and vertically for high-traffic production deployments
- [Architecture Deep Dive](https://mintlify.wiki/Arvo-AI/aurora/development/architecture-deep-dive.md): Understand Aurora's architecture, tech stack, and codebase structure
- [Contributing Guidelines](https://mintlify.wiki/Arvo-AI/aurora/development/contributing.md): How to contribute to the Aurora project
- [Development Environment Setup](https://mintlify.wiki/Arvo-AI/aurora/development/setup.md): Set up your local development environment for Aurora
- [Testing Guide](https://mintlify.wiki/Arvo-AI/aurora/development/testing.md): How to test Aurora during development
- [AI Chat Interface](https://mintlify.wiki/Arvo-AI/aurora/features/ai-chat-interface.md): Real-time WebSocket-based chat with streaming responses, tool execution, and session management
- [Cloud Integrations](https://mintlify.wiki/Arvo-AI/aurora/features/cloud-integrations.md): Multi-cloud support for GCP, AWS, Azure, Scaleway, Tailscale, and OVH with unified command execution
- [AI-Powered Incident Investigation](https://mintlify.wiki/Arvo-AI/aurora/features/incident-investigation.md): Automatic root cause analysis for production incidents with real-time streaming and diagnostic suggestions
- [Observability Integrations](https://mintlify.wiki/Arvo-AI/aurora/features/observability-tools.md): Connect to Grafana, PagerDuty, Datadog, Netdata, Dynatrace, Splunk, Jenkins, and CloudBees for automated incident detection
- [Backup and Restore](https://mintlify.wiki/Arvo-AI/aurora/guides/backup-restore.md): Back up and restore Aurora incident data, configurations, and storage
- [Connecting Cloud Accounts](https://mintlify.wiki/Arvo-AI/aurora/guides/connecting-cloud-accounts.md): Connect AWS, GCP, and Azure accounts to Aurora for incident investigation
- [Building Custom Connectors](https://mintlify.wiki/Arvo-AI/aurora/guides/custom-connectors.md): Create integrations for proprietary observability and cloud platforms
- [Running Your First Investigation](https://mintlify.wiki/Arvo-AI/aurora/guides/first-investigation.md): Learn how to run your first incident investigation with Aurora
- [Setting Up Monitoring Integrations](https://mintlify.wiki/Arvo-AI/aurora/guides/setting-up-monitoring.md): Configure observability tools to send alerts to Aurora
- [Frequently Asked Questions](https://mintlify.wiki/Arvo-AI/aurora/help/faq.md): Common questions about Aurora
- [Support](https://mintlify.wiki/Arvo-AI/aurora/help/support.md): How to get help and support for Aurora
- [Troubleshooting](https://mintlify.wiki/Arvo-AI/aurora/help/troubleshooting.md): Common issues and solutions for Aurora
- [Installation](https://mintlify.wiki/Arvo-AI/aurora/installation.md): Detailed installation instructions for Aurora in development and production environments.
- [CI/CD Integrations](https://mintlify.wiki/Arvo-AI/aurora/integrations/ci-cd.md): Connect Aurora to GitHub, Jenkins, and Bitbucket for continuous integration and deployment
- [Cloud Provider Integrations](https://mintlify.wiki/Arvo-AI/aurora/integrations/cloud-providers.md): Connect Aurora to GCP, AWS, Azure, and OVH for multi-cloud management
- [Amazon Web Services (AWS)](https://mintlify.wiki/Arvo-AI/aurora/integrations/cloud/aws.md): Connect Aurora to your AWS account using IAM role assumption
- [Microsoft Azure](https://mintlify.wiki/Arvo-AI/aurora/integrations/cloud/azure.md): Connect Aurora to your Azure subscription using service principal credentials
- [Google Cloud Platform (GCP)](https://mintlify.wiki/Arvo-AI/aurora/integrations/cloud/gcp.md): Connect Aurora to your Google Cloud Platform projects for infrastructure management
- [OVH Cloud](https://mintlify.wiki/Arvo-AI/aurora/integrations/cloud/ovh.md): Connect Aurora to your OVH Cloud account using OAuth 2.0 or API credentials
- [Communication Tool Integrations](https://mintlify.wiki/Arvo-AI/aurora/integrations/communication.md): Connect Aurora to Slack and Confluence for team collaboration and documentation
- [Observability Integrations](https://mintlify.wiki/Arvo-AI/aurora/integrations/observability.md): Integrate Aurora with Datadog, Grafana, PagerDuty, Netdata, and Dynatrace for monitoring and alerting
- [Datadog Integration](https://mintlify.wiki/Arvo-AI/aurora/integrations/observability/datadog.md): Monitor and analyze metrics, logs, events, and alerts from Datadog with Aurora's AI-powered incident management
- [Dynatrace Integration](https://mintlify.wiki/Arvo-AI/aurora/integrations/observability/dynatrace.md): Connect Dynatrace to Aurora for AI-powered problem analysis and automated incident response
- [Grafana Integration](https://mintlify.wiki/Arvo-AI/aurora/integrations/observability/grafana.md): Connect Grafana Cloud or self-hosted Grafana to Aurora for alert management and observability insights
- [Netdata Integration](https://mintlify.wiki/Arvo-AI/aurora/integrations/observability/netdata.md): Connect Netdata Cloud to Aurora for real-time infrastructure monitoring and AI-powered alert analysis
- [PagerDuty Integration](https://mintlify.wiki/Arvo-AI/aurora/integrations/observability/pagerduty.md): Integrate PagerDuty with Aurora for incident management, on-call scheduling, and automated incident response
- [Integrations Overview](https://mintlify.wiki/Arvo-AI/aurora/integrations/overview.md): Connect Aurora to your cloud providers, observability tools, and CI/CD platforms
- [Introduction](https://mintlify.wiki/Arvo-AI/aurora/introduction.md): Aurora is an automated root cause analysis investigation tool that uses AI agents to help Site Reliability Engineers resolve incidents faster.
- [Quickstart](https://mintlify.wiki/Arvo-AI/aurora/quickstart.md): Get Aurora running locally for testing and evaluation in under 5 minutes.
- [REST API Overview](https://mintlify.wiki/Arvo-AI/aurora/reference/api-overview.md): Complete reference for Aurora REST API endpoints
- [Database Schema](https://mintlify.wiki/Arvo-AI/aurora/reference/database-schema.md): PostgreSQL database schema and table reference
- [Security Architecture](https://mintlify.wiki/Arvo-AI/aurora/reference/security.md): Security best practices and architecture for Aurora
- [WebSocket Protocol](https://mintlify.wiki/Arvo-AI/aurora/reference/websocket-protocol.md): Real-time communication protocol for Aurora chat interface