Every model.
Zero prompt retention.
Zero downtime.
The high-availability LLM API gateway that protects your data. Unified routing across 147+ AI providers — OpenAI, Anthropic Claude, Google Gemini, Cerebras, Groq, Together AI, DeepSeek, xAI, and custom private endpoints — with sub-180ms failover, atomic spend controls, and zero storage of prompts or AI responses.
Zero Payload Retention by Default.
Unlike traditional gateways that save and store your users' prompts and generated answers in their cloud database, Tanvelo processes every inference stream strictly in transient RAM.
Most AI gateways are built as observability collectors: every prompt message, system instruction, and model response is written to third-party databases by default.
Tanvelo is architected from the kernel level with strict Zero Body Retention (LOG_PAYLOADS=false). Your users' prompts and model outputs never touch our disk.
147+ AI Providers & Any Custom API
Connect to any frontier model, ultra-fast silicon accelerator, regional lab, or private on-prem cluster with zero code changes. Like LiteLLM, Tanvelo standardizes routing across all providers with universal prefix syntax.
Ultra-Fast & Wafer Silicon
Sub-second reasoning and token generation
Cerebras, Groq (LPUs), SambaNova, Together AI, Fireworks AI, DeepInfra, Lepton AI, Novita.
Frontier Reasoning Labs
Top-tier intelligence and multimodal models
OpenAI, Anthropic Claude, Google Gemini, xAI Grok, Mistral Large, Cohere.
Hyperscale Enterprise Cloud
Compliant managed deployments
Azure OpenAI, AWS Bedrock Proxy, Cloudflare Workers AI, Perplexity, Voyage AI, Databricks.
Regional & Asian Frontier Labs
World-class open-weights and multilingual AI
DeepSeek, Alibaba Qwen (DashScope), Moonshot Kimi, Zhipu GLM, 01.AI (Yi), Upstage Solar.
Self-Hosted & Local Inference
Zero cloud egress costs & internal hosting
vLLM, Ollama, LM Studio, Text Generation Inference (TGI), LocalAI, llama.cpp, Aphrodite.
Universal "Any API" Ingress
Connect ANY OpenAI-compatible endpoint
Private corporate clusters, custom fine-tuned weights, or internal gateways. Supports Bearer, Azure api-key, custom headers, or unauthenticated runners.
model="provider/your-model-name" notationAutomatic key injection, URL resolution, and sub-180ms failover across providers without modifying your application client.
Provider sprawl is a reliability risk.
Managing disparate provider libraries leads to unhandled rate limits and billing exposure. Tanvelo consolidates all workloads into one resilient gateway.
- Cascading 429 Failures: Provider rate limits immediately break active client connections.
- Fragmented SDKs: Juggling separate authentication keys, tokenizers, and error formats.
- Runaway Spend: Autonomous agents loop without hard cutoff safeguards, incurring unexpected costs.
- Sub-180ms Automated Fallback: Upstream rate limits immediately shift to secondary models without dropped streams.
- Official Typed SDK: Single zero-dependency client (
tanvelo) for TypeScript and Python. - Atomic Spend Controls: Redis-backed token buckets (RPM/TPM) and monthly hard budget ceilings.
Sub-180ms automated failover in action.
When upstream providers return rate limits (429) or outages (5xx), Tanvelo executes deterministic fallback chains to sustain production uptime.
Client Request Initiated
model: "provider/your-model-name", fallbacks: ["fallback-provider/your-fallback-model-name"]
Primary Provider Fails
Monitors upstream HTTP status.
Fulfilled by Fallback Model
Secondary model takes over seamlessly.
Engineered for production control.
Three architectural pillars designed for engineering teams shipping mission-critical LLM workflows.
Deterministic Routing
Configure primary models and prioritized fallbacks per environment. Tanvelo follows deterministic rules — never an unpredictable black box.
Atomic Redis Limiter
Distributed token-bucket rate limits per API key. Monthly spend caps prevent recursive agent loops from draining funds.
Request Audit Ledger
Every request logs an auditable trace: latency waterfall, upstream attempt history, token counts, and dollar-accurate costs.
One typed client for every model.
Official SDKs for TypeScript and Python. Complete typed interfaces, streaming SSE, and zero configuration.
import { Tanvelo } from "tanvelo";
const tanvelo = new Tanvelo({
apiKey: process.env.TANVELO_API_KEY, // "tv_live_..."
});
// Unified routing across 147+ providers with sub-180ms failover
const stream = await tanvelo.chat.completions.create({
model: "provider/your-model-name",
fallbacks: ["fallback-provider/your-fallback-model-name"],
messages: [{ role: "user", content: "Ship to production with zero downtime." }],
stream: true,
});
for await (const chunk of stream) {
process.stdout.write(chunk.choices[0]?.delta?.content || "");
}Verifiable architectural guardrails.
Engineered with zero payload retention, cryptographic hashing, and hardened network isolation.
Displayed once upon creation, stored strictly as SHA-256 hashes.
Encrypted at rest with server-side AES-256-GCM. Never exposed client-side.
HMAC-SHA256 signatures with loopback and RFC1918 egress protections.
Prompts and completions stream in-flight and are never stored on disk.
Frequently asked questions.
Tanvelo supports 147+ AI providers out of the box — spanning frontier clouds (OpenAI, Anthropic Claude, Google Gemini, xAI), wafer-scale fast silicon (Cerebras, Groq, Together AI, Fireworks), enterprise clouds (Azure OpenAI, AWS Bedrock), regional Asian labs (Alibaba Qwen/DashScope, Moonshot Kimi, Zhipu GLM, 01.AI), and self-hosted runners (vLLM, Ollama, LM Studio). Additionally, you can connect ANY custom OpenAI-compatible endpoint with your own base URL and authentication headers.
Direct engineering support.
Questions regarding integration, custom topologies, or enterprise limits? Reach out directly.
Build on resilient, private AI infrastructure.
Deploy every model behind one controlled endpoint in under five minutes with Zero Payload Retention.