Fireraven Developer Platform
Ship safer AI systems with docs built for action.
Add real-time guardrails with FireGuard, evaluate systems with Redraven, and use generated API references when you need exact request and response shapes.
FG_URL="https://api.fireraven.ai/public/fireguard/v1"curl -sS -X POST "$FG_URL/input_guardrails?conversation_id=$CONVERSATION_ID" \ -H "X-Api-Key: $FIREGUARD_API_KEY" \ -H "Content-Type: application/json" \ -d '{"messages_history":[{"role":"user","content":"Can you help me?"}]}'Copy a short example, add your credentials, and jump to the product quickstart for the full flow.
Protect an AI agent
Run input and output guardrails around every model call.
Start with FireGuard
Evaluate a model
Run Redraven tests and export metrics, recommendations, and reports.
Start with Redraven
Use the API reference
Explore generated endpoint pages from OpenAPI specs.
Open API reference
FireGuard
Low-code guardrails for AI agents. Check user input, validate assistant output, and monitor policy performance.
Read the FireGuard quickstartRedraven
Automated AI evaluation and red teaming. Run tests from your code and export results into your workflows.
Read the Redraven quickstart