Vynaris — same quality, a fraction of the cost

What

Vynaris is an OpenAI- and Anthropic-compatible inference gateway designed for developers and organizations operating AI agent workloads. It resolves the problem of overspending frontier-model tokens on low-complexity tasks by dynamically routing requests down to smaller, certified models while escalating back to frontier models when necessary. The platform positions itself as a verifiable, cost-reduction proxy that emphasizes auditability through per-request cost and routing receipts.

Features

• Evidence-based dynamic routing: Routes incoming requests down to smaller models only when evaluation evidence verifies performance for that task type, automatically escalating back to requested frontier models when quality thresholds require it.
• Per-request receipt attribution: Attaches transparent metadata headers (x-vynaris-served-model, x-vynaris-cost-usd, and baseline pricing) and an exportable ledger to every response to enable direct cost verification.
• Drop-in endpoint compatibility: Integrates with existing OpenAI and Anthropic client SDKs by switching the base_url and setting model handling to automatic without requiring prompt or tool schema changes.
• Hosted uncensored security models: Provides dedicated access to 128K-context uncensored models (such as variants of Qwen, DeepSeek, and GLM) with scale-to-zero capacity and zero prompt retention for authorized red teaming and security testing.

Helpful Tips

• Monitor the response headers (x-vynaris-served-model and x-vynaris-saved) during initial staging to confirm that down-routed models meet task-specific accuracy requirements before fully switching production traffic.
• Export the CSV ledger periodically to recalculate reported savings against direct provider list prices and establish a baseline for your specific query distribution.
• Evaluate the self-hosted enterprise deployment option if monthly inference spend exceeds $10,000, particularly if internal policies require private infrastructure or routing through existing provider accounts.

OpenClaw Skills

Vynaris does not document an existing native integration with OpenClaw. In a plausible hypothetical workflow, an OpenClaw automation agent could point its OpenAI-compatible base URL configuration to the Vynaris gateway, allowing the agent system to execute high-volume multi-step actions (such as data extraction, ticket sorting, and reasoning) with dynamic model right-sizing, thereby lowering API execution costs across autonomous operations.