Multi-provider LLM routing

Route AI requests to optimal providers based on model capability, cost, latency, and compliance requirements — all through a single governed gateway with consistent security controls.

Why multi-provider routing

No single AI provider is optimal for every use case. GPT-4 excels at complex reasoning, Claude handles long documents, Gemini provides multimodal capabilities, and self-hosted models satisfy data residency requirements. Multi-provider routing lets organizations use the best model for each task while maintaining consistent security and governance.

Routing criteria

Model Capability

Route to the best model for the task: GPT-4 for complex reasoning, Claude for long-context, Gemini for multimodal

Cost Optimization

Route simple queries to cost-effective models, complex ones to premium models. Reduce AI spend by 40-60%

Latency Requirements

Route latency-sensitive requests to faster models or geographically closer endpoints

Data Residency

Route PII-containing requests to EU-hosted or on-premise models for GDPR compliance

Provider Quotas

Distribute load across providers to avoid rate limits and ensure availability

Compliance

Restrict specific teams or data types to approved providers only (e.g., healthcare → BAA-covered providers)

Security-first routing

Every routed request passes through the same inspection pipeline: PII masking, injection detection, and audit logging — regardless of which provider ultimately processes the request. Security controls are applied before routing, not delegated to individual providers.

Enable multi-provider routing

Route AI requests intelligently while maintaining security governance.

Frequently asked questions

Which AI providers does PromptWall support?+

PromptWall supports OpenAI (GPT-4, GPT-4o), Anthropic (Claude 3.5, Claude 4), Google (Gemini), Azure OpenAI, AWS Bedrock, and self-hosted models (vLLM, Ollama). New providers can be added via the provider configuration API.

Can I route based on data sensitivity?+

Yes. Routing rules can consider data sensitivity: PII-containing prompts route to on-premise models, general queries go to cloud providers, and high-security workloads use approved providers only. This enables data residency compliance while maximizing model choice.

What happens if a provider is unavailable?+

PromptWall supports automatic failover: if the primary provider fails, requests route to the configured fallback provider. Health checks monitor provider availability, and routing decisions adapt in real-time to maintain service continuity.

Final CTA

Bring AI under policy before risk reaches production.

Talk to PromptWall about browser, editor, CLI, and shared policy rollout for governed AI access.

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