haimaker launches unified AI API Gateway connecting developers to 200+ models via single OpenAI-compatible endpoint. Features intelligent routing, real-time modelhaimaker launches unified AI API Gateway connecting developers to 200+ models via single OpenAI-compatible endpoint. Features intelligent routing, real-time model

haimaker Launches Unified AI API Gateway to Connect Developers to Over 200 Models

2026/06/27 22:35
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haimaker has launched a unified AI API Gateway that connects developers to more than 200 AI models through a single OpenAI-compatible endpoint, according to a press release. The platform, available at haimaker.ai, aims to reduce the integration overhead of working across multiple AI providers by offering a drop-in replacement compatible with existing OpenAI workflows without requiring code rewrites.

The release addresses a common challenge developers face as the number of large language models (LLMs) grows: managing separate API integrations, credentials, and performance benchmarks across providers like OpenAI, Anthropic, Mistral, and various open-source models. haimaker consolidates this complexity into a single endpoint and a single API key, allowing developers to access models from multiple providers through one standardized interface.

Central to the platform is its function as a multi-provider LLM aggregator. Because the endpoint is fully OpenAI-compatible, teams already using OpenAI-compatible toolchains can adopt haimaker without altering their existing code. This architecture directly targets vendor lock-in, a persistent friction point in production AI development. Switching between providers or evaluating different models requires no structural changes to the application.

Beyond aggregation, haimaker incorporates intelligent model routing that automatically identifies the most suitable model based on configurable priorities: cost, response speed, or output quality. This capability is particularly relevant in production environments where token costs, latency targets, and task complexity vary across different parts of an application. For example, a developer building a chatbot might prioritize speed for conversational exchanges while routing document summarization tasks to a higher-capability model, all without writing custom routing logic.

The platform also supports real-time model comparison, enabling developers to evaluate outputs across providers under live conditions rather than relying on static benchmarks that may not reflect actual performance in a specific context. This feature, along with automatic routing configuration and access to both commercial and open-source models, is part of the Developer AI Tools available through haimaker.

Designed with developer velocity in mind, haimaker offers a straightforward integration path: a single API key grants access to the full model catalog, and because the endpoint mirrors the OpenAI API structure, existing SDKs and tooling continue to function as expected. Pricing is transparent, with costs tied to underlying model usage rather than a proprietary pricing layer. This reflects a broader design principle of surfacing information and control to the developer rather than abstracting it away.

For teams building applications that require flexibility across model providers or anticipate their model strategy shifting over time, haimaker provides the infrastructure to accommodate that without committing to a single vendor’s ecosystem. Developers can start building now through haimaker.ai.

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