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Documentation Index

Fetch the complete documentation index at: https://docs.foggyhq.com/llms.txt

Use this file to discover all available pages before exploring further.

Getting Started

Under 5 minutes. Sign up, add a connector (URL + API token), and ask your first question. See the Quick Start guide.
No. Foggy reads from your existing tools — it doesn’t replace them. It works on top of your current observability stack and queries Grafana, Prometheus, and others to answer your questions.
Observability: Grafana, Prometheus, OpenSearch, Kubernetes. Errors and issues: Sentry, GitHub, Linear. Full-stack observability: Datadog. Alerts: generic Alert Webhook (any alerting tool that can POST JSON). Chat: Slack. Private-network proxy: Satellite. See the Integrations section in the sidebar for setup guides for each.

AI & Models

Claude Sonnet 4.6 (default), Claude Opus 4.7, and other models. You choose per-message via the model selector in the chat input.
Investigation prompts and tool query results (metrics, logs, events) are sent to the selected LLM for analysis. Infrastructure credentials (API tokens, URLs) are never sent to LLMs. See Security for the full data flow.
Simple queries: 10–30 seconds. Complex multi-tool investigations: 1–3 minutes. Results stream in real-time.
Yes. Paste your own LLM API key in Settings → LLM Providers. You control which provider processes your data.

Security & Data

Foggy operates in read-only mode with least-privilege access. See the Security page for full details.
Never. Foggy uses read-only access to all connected tools. It queries dashboards, metrics, and logs but never creates, updates, or deletes resources in your infrastructure.
Encrypted at rest using Fernet symmetric encryption. Decrypted only when making API calls to your tools. Never logged, cached, or displayed in the UI after initial entry.
No. Foggy does not store raw production data or use it to train models. Data is retained only as conversation history within your project and is never shared across projects.