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Route thousands of LLM requests through one fast API with built-in guardrails.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "gateway" yet — see the docs or source repo.
Design a gateway integration plan for our app: we need to switch between OpenAI, Anthropic, and open-source models. Provide a unified API structure, model routing strategy, failover mechanism, and sample requests.
A unified integration plan with routing logic, failover design, and sample API requests.
Explain how to use gateway to add safety guardrails to a customer support bot, covering sensitive data filtering, jailbreak protection, and policy-violating content blocking, with configuration ideas and a test checklist.
A guardrail implementation and validation plan with safety rule recommendations and test cases.
Create a gateway routing strategy for our AI service: send simple requests to low-cost models, complex requests to high-performance models, and auto-degrade during peak traffic. Include monitoring metrics and alerting recommendations.
A model routing and monitoring plan balancing cost, performance, and reliability.
Connect and route 1000+ AI models with fast, secure enterprise-grade gateway control.
Unified gateway for multiple LLM CLIs with security, routing, and trace capture.
Query a learning corpus and knowledge graph through a unified MCP gateway.
Manage API gateways, routing, security, and AI gateway workflows.
Explore AI models, MCP servers, and agent integrations in one gateway.
One key to chat with 100+ models and generate media