使用你自己的 API Key，统一接入 DeepSeek、Qwen、GLM。
OpenAI-compatible，支持 Router、Failover 与多模型切换。
Use your own API keys to access DeepSeek, Qwen, and GLM through a single OpenAI-compatible endpoint — with smart routing and automatic failover.
Token2Max 是基础设施层，不是应用层封装。在网关侧统一解决协议、路由与可观测性。 Token2Max operates at the infrastructure layer — solving unified protocol, routing, and observability at the gateway level, not the application layer.
兼容 OpenAI SDK。无需为不同模型维护不同调用逻辑，一个接口覆盖全部。 OpenAI SDK compatible. One interface for all providers — no per-model SDK juggling.
你的 Key，你的数据。Token2Max 不转售 Token，不绑定供应商，不托管业务数据。 Your keys, your data. We never resell tokens, lock you in, or store your business data.
某个模型限流或失败时，自动切换备用模型，保障服务稳定性，无需手动干预。 When a model is rate-limited or fails, automatically switch to a backup. Zero manual intervention.
持续接入更多已备案国产模型，所有调用均通过官方 API 完成。 Continuously integrating more licensed Chinese models. All calls go directly through official provider APIs.
from openai import OpenAI client = OpenAI( api_key="t2m-your-key", base_url="https://api.token2max.com/v1" ) response = client.chat.completions.create( model="deepseek-chat", messages=[{ "role": "user", "content": "Hello" }] ) # Auto failover to Qwen if DeepSeek fails
基于策略的动态路由，让你的 AI Infra 更具弹性与可观测性。 Policy-driven dynamic routing for more resilient and observable AI infrastructure.
主模型失败或限流时，自动无感切换到备用模型。 Automatically switch to a backup when the primary model fails or is rate-limited.
按 Token 成本智能选择最经济的模型 Provider。 Intelligently select the most cost-efficient provider based on token pricing.
实时探测各 Provider 响应速度，自动选择最快节点。 Probe provider response times in real-time and route to the fastest available node.
可配置的模型策略，按请求类型、标签或自定义规则分发。 Configurable policies — dispatch by request type, tags, or custom rules.
Token2Max 仅作为 API Router 工作，不触碰你的业务数据，不参与模型训练。 Token2Max functions only as an API router — we never touch your business data or participate in model training.
Token2Max 不做 Token2Max does NOT
Token2Max 做 Token2Max DOES
统一多模型调用，降低供应商绑定风险，快速接入新模型。 Unified multi-model calls, reduced vendor lock-in, rapid new model onboarding.
内部模型治理、统一权限管理与 API 可观测性。 Internal model governance, unified access control, and API observability.
动态模型调度，Agent 根据任务类型自动选择最合适的模型。 Dynamic model dispatch — agents automatically select the optimal model per task type.
IDE 插件或 Copilot 工具的多模型后端，自动 Failover 保障代码补全稳定性。 Multi-model backend for IDE plugins and Copilot tools with auto-failover for stable completions.