About
Opper AI is a powerful unified AI gateway designed to simplify how developers and teams access and manage large language models at scale. With support for over 200 models from more than 20 providers—including Anthropic, OpenAI, Google, xAI, and more—Opper gives engineers a single API endpoint compatible with the OpenAI SDK, eliminating the need for separate integrations per provider. Beyond basic routing, Opper offers a comprehensive agent control plane that grows with your needs. Its observability layer provides full visibility into every API call, token usage, and session, enabling teams to monitor costs and debug issues in real time. Intelligent routing automatically directs traffic across providers and regions (EU and US), optimizing for performance, availability, and cost. Context engineering tools help steer frontier model performance, while real-time PII masking and content filtering keep outputs safe and compliant. For organizations with strict compliance requirements, Opper includes budget caps, full audit trails, end-to-end encryption (AES-256 at rest, TLS in transit), and optional zero data retention. Data is hosted in AWS Stockholm with EU and global model provider options, including Bring Your Own Key (BYOK) support. Opper is trusted by thousands of developers and companies shipping AI to production, ranging from fintech platforms to global digital labs. It supports popular frameworks like LangChain, CrewAI, Cursor, and the AI SDK, making it a versatile backbone for any AI-powered application.
Key Features
- 200+ Models via One API: Access over 200 models from 20+ providers—including Anthropic, OpenAI, Google, and xAI—through a single unified endpoint, with full OpenAI SDK compatibility.
- Intelligent Routing & Observability: Automatically route requests across providers and regions for performance and cost optimization, with full visibility into every call, token, and session.
- Real-Time PII Masking & Content Filtering: Protect sensitive data in transit by automatically masking PII and filtering content before it reaches model providers.
- Budget Caps & Audit Trails: Set spend limits per team or project and maintain full audit logs to meet compliance and governance requirements at scale.
- Enterprise-Grade Security & Data Residency: End-to-end encryption, AES-256 at rest, TLS in transit, isolated org data, optional zero data retention, and EU-hosted infrastructure with BYOK support.
Use Cases
- Building production AI agents that need access to multiple frontier models without managing separate provider integrations.
- Switching between LLM providers for cost optimization or performance benchmarking without changing application code.
- Enforcing compliance and data governance for AI workloads in regulated industries by leveraging PII masking, zero data retention, and audit trails.
- Monitoring and controlling AI infrastructure spend across teams using per-project budget caps and unified observability dashboards.
- Deploying AI applications in EU-regulated environments with data residency requirements using Opper's Stockholm-hosted infrastructure and BYOK support.
Pros
- Drop-in OpenAI SDK Compatibility: Teams can switch to Opper with a single line of code, making adoption fast and migration risk-free for existing OpenAI-based projects.
- Broad Model & Provider Coverage: Access to 200+ models from every major frontier provider means teams can benchmark, switch, and optimize without re-architecting their stack.
- Production-Ready Security: Built-in PII masking, zero data retention options, EU data residency, and BYOK make Opper suitable for regulated industries and security-conscious enterprises.
- Unified Observability: Automatic logging of every call, token count, and cost gives teams the visibility needed to debug issues and control spend at scale.
Cons
- Pay-as-You-Go Costs Can Accumulate: While flexible, high-volume usage without careful budget caps can lead to unexpected costs, especially when routing across premium frontier models.
- Vendor Lock-In Risk: Centralizing all AI traffic through a single gateway introduces a dependency on Opper's uptime and pricing decisions over time.
- Advanced Features Require Configuration: Features like context engineering, custom routing rules, and compliance controls may require non-trivial setup for teams new to AI infrastructure management.
Frequently Asked Questions
Is Opper AI compatible with the OpenAI SDK?
Yes. Opper is fully drop-in compatible with the OpenAI SDK. You only need to change the base URL and API key—no other code changes are required to start routing through Opper's gateway.
Which AI models and providers does Opper support?
Opper supports 200+ models from 20+ providers including Anthropic (Claude), OpenAI (GPT), Google (Gemini), xAI (Grok), Mistral, and more, hosted in both EU and US regions.
How does Opper handle data privacy and security?
Opper never uses your data for model training. It offers optional zero data retention, AES-256 encryption at rest, TLS in transit, isolated per-organization data, and is hosted in AWS Stockholm. BYOK (Bring Your Own Key) is also supported.
What is Opper's pricing model?
Opper operates on a pay-as-you-go basis. You can sign up for free, get an API key, and add credits as needed. Budget caps and fallback configurations are available on all plans.
Does Opper work with AI frameworks like LangChain or CrewAI?
Yes. Opper integrates with popular AI development frameworks including LangChain, CrewAI, the Vercel AI SDK, and Cursor, making it easy to adopt within existing agent workflows.
