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LLM governance / policy control planePolicy Gateway

Azure APIM AI Gateway vs vendor-agnostic Policy Gateway

Azure APIM AI Gateway focuses on Azure-native policy and monitoring, while Policy Gateway is a vendor-agnostic control plane for multiple model providers.

This comparison highlights when each approach fits and how teams combine them for enterprise governance.

Quick start

Service notes

  • Pricing model: Usage-based pricing (~$5 per 1M tokens) billed on total tokens (input + output). See the API pricing page for current plans.
  • Data retention: No prompt/output retention by default. Operational telemetry (token counts, timestamps, error codes) is retained for billing and reliability.
  • Compatibility: OpenAI-style /v1/chat/completions request and response format with a base URL switch.
  • Latency: Depends on model size, prompt length, and load. Streaming reduces time-to-first-token.
  • Throughput: Team plans include priority throughput. Actual throughput varies with demand.
  • Rate limits: Limits vary by plan and load. Handle 429s with backoff and respect any Retry-After header.

Summary comparison

Capability Azure APIM AI Gateway Vendor-agnostic Policy Gateway
Provider scope Azure-centric deployments Multi-provider (Azure OpenAI, OpenAI, Anthropic, local)
LLM policies API Management AI policy layer Policy-as-code with rules, reason codes, and rollouts
Quotas and chargeback Usage tracking and rate controls Per-user and per-project quotas with audit tags
Audit exports Azure-native logging integrations Splunk, Datadog, Elastic, S3, Azure Monitor
Portability Azure platform alignment Portable governance across clouds and providers

Choose Azure APIM AI Gateway when

  • Your LLM traffic is entirely inside Azure and you want a single Azure-native control plane.
  • You already standardize on Azure API Management policies for API governance.
  • Security teams expect Azure Monitor and Log Analytics as the default logging surface.

Choose Policy Gateway when

  • You need the same policy across multiple providers or regions.
  • Teams want consistent reason codes, audit tags, and rollout controls across apps.
  • You want to export audit logs to SIEM tools outside Azure.

They can work together

  • Use Azure APIM at the edge for routing and API governance.
  • Use Policy Gateway for LLM-specific policy-as-code, quotas, and audit exports.
  • Security teams get consistent policy metadata regardless of upstream provider.

Common errors & fixes

  • 401 Unauthorized: Check that your API key is set and sent as a Bearer token.
  • 404 Not Found: Make sure the base URL ends with /v1 and you call /chat/completions.
  • 400 Bad Request: Verify the model id and that messages are an array of { role, content } objects.
  • 429 Rate limit: Back off and retry. Use the Retry-After header for pacing.

Related links

  • Policy Gateway for Azure OpenAI
  • Policy Gateway onboarding checklist
  • Policy Gateway security & privacy
  • Splunk HEC export
  • Datadog Logs export
  • Elastic audit log export
  • Amazon S3 export
  • Azure Monitor / Log Analytics export
  • Rate limits and retries
  • API pricing
  • Privacy policy
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