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.

curl
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 quickstart

Redraven

Automated AI evaluation and red teaming. Run tests from your code and export results into your workflows.

Read the Redraven quickstart