Platform Capabilities

CallStack AI Labs provides an enterprise-grade AI orchestration and governance layer that sits between your applications and upstream model providers.

Architecture Overview

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Unified API Gateway

A single OpenAI-compatible endpoint that routes to Claude, GPT, Gemini, DeepSeek, and more. Zero code changes required.

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Governance Layer

Configurable policies for content safety, rate limiting, budget caps, and model access control enforced at the gateway level.

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Observability Stack

Built-in metrics, logging, and tracing. Export to your existing monitoring infrastructure (Datadog, Grafana, Azure Monitor).

Key Capabilities

Multi-Model Routing

Route requests to the optimal model based on configurable rules:

Routing StrategyDescription
Priority-basedDefine primary and fallback models for automatic failover
Cost-optimizedRoute to the most cost-effective model that meets quality thresholds
Latency-optimizedAutomatically select the lowest-latency endpoint
Round-robinDistribute load evenly across multiple model endpoints
Content-basedRoute based on request content, language, or task type

Security & Access Control

FeatureDescription
API Key ManagementFull lifecycle management with rotation, expiry, and scope controls
RBACRole-based access control with team and project-level permissions
SSO IntegrationSAML 2.0 and OIDC support for enterprise identity providers
IP AllowlistingRestrict API access to approved network ranges
Request SigningHMAC-based request authentication for service-to-service calls

Content Safety & Compliance

We enforce multi-layer content safety to ensure responsible AI usage:

  1. Azure Content Safety — Native integration with Microsoft's content moderation service
  2. Custom Filter Libraries — Organization-specific sensitive content rules and keyword filters
  3. PII Redaction — Automatic detection and masking of personal data before it reaches model providers
  4. Output Screening — Post-generation content review and policy enforcement
  5. Audit Logging — Immutable, tamper-proof logs for every request and response

Observability & Analytics

MetricGranularity
Token consumptionPer-request, per-model, per-team
Latency (P50/P95/P99)Per-endpoint, real-time
Error ratesPer-model, per-status-code
Cost attributionPer-project, per-department
Content safety flagsPer-request, aggregate trends
Budget utilizationPer-team, daily/monthly

Data Residency

RegionDeployment
Asia PacificHong Kong, Singapore, Tokyo
AmericasUS East, US West
EuropeNetherlands, UK

All data processing occurs within the selected region. No cross-region data transfer without explicit configuration.

Integration

CallStack AI Gateway is fully compatible with the OpenAI API specification. Any tool, SDK, or framework that supports OpenAI can be used without modification:

  • OpenAI Python / Node.js SDK
  • LangChain / LlamaIndex
  • Vercel AI SDK
  • Any HTTP client

Simply configure your base URL to point to your CallStack gateway endpoint.

::: tip Enterprise Deployment For organizations with strict data sovereignty requirements, we offer private deployment options on Azure. Contact our solutions team for details. :::