NewDeepSeek V4 & GPT-4o now routed

One API Key.
200+ LLMs.
Zero Complexity.

Connect Claude, GPT, Gemini, and DeepSeek through a single OpenAI-compatible endpoint. No VPN required, with lightning-fast routing and instant request telemetry.

Read Documentation
  • p50 +38ms routing overhead
  • 99.98% gateway uptime
  • No VPN, no region locks
main.py — OpenAI SDK
from openai import OpenAI
 
client = OpenAI(
    api_key="sk-br-your-key",
    base_url="https://mysite.com/v1"
)
 
response = client.chat.completions.create(
    model="",
    messages=[{"role": "user", "content": "Hello!"}]
)
200 OKrouted → anthropic412ms1,024 tokens

Switching providers = changing one string

Live model range

Frontier models, honest per-token pricing

Same rates as the providers — no token markup, no subscription tax. Prices update the moment providers change theirs.

Popular
Anthropic

Claude 3.5 Sonnet

Most capable

Input / 1M

$3.00

Output / 1M

$15.00

200K ctx
OpenAI

GPT-4o

Fastest

Input / 1M

$2.50

Output / 1M

$10.00

128K ctx
DeepSeek

DeepSeek V4

Budget-friendly

Input / 1M

$0.27

Output / 1M

$1.10

164K ctx
Google

Gemini 1.5 Pro

Long context

Input / 1M

$1.25

Output / 1M

$5.00

1M ctx
Alibaba

Qwen 2.5 Coder 72B

Open weights

Input / 1M

$0.35

Output / 1M

$0.85

128K ctx
OpenAI

GPT-4o mini

Cheapest

Input / 1M

$0.15

Output / 1M

$0.60

128K ctx
Anthropic

Claude 3 Haiku

Snappy

Input / 1M

$0.25

Output / 1M

$1.25

200K ctx
+193 more

Browse the full catalog of 200+ models

Mistral, Llama, Qwen, Command R, Whisper, embeddings and more — all behind the same endpoint.

Explore all models
How AI-Bridge works

One request in. Full visibility out.

Every call flows through the same hardened pipeline — from your code to the provider and back, with full request telemetry recorded before the response even finishes streaming.

01

Your Code / App

Any OpenAI SDK, framework or agent — pointed at one base URL.

02

AI-Bridge Gateway

Auth, budgets, RPM/TPM caps and model resolution at the edge.

03

Dynamic Routing

Health-checked, latency-scored routes to every provider.

OpenAIAnthropicGoogle
04

Request Telemetry

Traces, latencies and spend recorded instantly — no SDK changes.

streaming request → log
  • No vendor lock-in
  • Sub-50ms routing overhead
  • Zero code changes to capture traces
Platform features

Governance and observability, baked in

The pieces teams usually stitch together with custom middleware — key policy, spend control, tracing — ship on day one.

Flexible Key Management

Spin up virtual keys per user, team or product and restrict exactly what they can spend. Budgets, token caps and RPM/TPM limits attach to the key itself — no manual database restructuring, no migration scripts, revoked keys die instantly at the edge.

sk-br-team-prod$120 cap
sk-br-side-project$10 cap
sk-br-eval-batchpaused

budgets · token caps · RPM/TPM — per key, per user, zero DB migrations

Built-In Telemetry

Every request is logged with full agent traces, per-span response latencies and token-level spend attribution. Observe and debug multi-step agents out of the box — without re-coding your app or bolting on an observability SDK.

agent.run
2,140ms
llm.call · gpt-4o
1,320ms
tool.search
480ms

full agent traces · latency · token spend — recorded automatically

100% OpenAI Compatible

Changing a single line of code — the api_base — routes your traffic cleanly through AI-Bridge. Chat completions, streaming, function calling and embeddings behave exactly as your SDK expects, so migration takes minutes, not sprints.

-base_url = "https://api.openai.com/v1"
+base_url = "https://mysite.com/v1"
one line → every model, key scope and trace comes with it

Automatic Failover

Provider outage or rate-limit? Requests reroute to the healthiest fallback mid-flight.

Streaming Native

SSE streaming for every model in the catalog, with token-level timing on each chunk.

Team Workspaces

Shared spend dashboards, audit logs and role-based access across your whole org.

Ships weekly. New providers, routing strategies and telemetry views land every release — tracked publicly in the changelog.

v2.14 — dynamic caching
Integration ecosystem

Plugs into your entire stack

IDEs, CLI agents, automation platforms and agent frameworks — anything that speaks the OpenAI protocol works with AI-Bridge on day one. Zero adapters, zero glue code.

Cursor IDEIDE
Claude CodeCLI agent
ClineVS Code agent
n8nAutomation
LangChainFramework
OpenCodeCLI agent
ContinueIDE copilot
AiderAI pair coding
Cursor IDEIDE
Claude CodeCLI agent
ClineVS Code agent
n8nAutomation
LangChainFramework
OpenCodeCLI agent
ContinueIDE copilot
AiderAI pair coding
Cursor IDEIDE
Claude CodeCLI agent
ClineVS Code agent
n8nAutomation
LangChainFramework
OpenCodeCLI agent
ContinueIDE copilot
AiderAI pair coding
LangGraphAgent graphs
ZedEditor
WindsurfIDE
DifyLLM ops
FlowiseLow-code
AutoGenMulti-agent
Anything OpenAIIf it speaks OpenAI
LangGraphAgent graphs
ZedEditor
WindsurfIDE
DifyLLM ops
FlowiseLow-code
AutoGenMulti-agent
Anything OpenAIIf it speaks OpenAI
LangGraphAgent graphs
ZedEditor
WindsurfIDE
DifyLLM ops
FlowiseLow-code
AutoGenMulti-agent
Anything OpenAIIf it speaks OpenAI

If it speaks OpenAI — it speaks AI-Bridge

FAQ

Questions, answered

Everything teams usually ask before pointing production traffic at the bridge. Still curious? Ping us on Telegram.

AI-Bridge is pure pay-as-you-go: you are billed per token at the provider's published rate with no markup, no minimum commit and no subscription. Top up a prepaid balance or attach a card for post-paid invoicing, then set hard spending caps per virtual key so a runaway agent loop can never drain your account. Every charge is itemized per model and per key in your dashboard, and unused balance never expires.

The proxy adds a median of 38ms to the first byte for non-streaming calls and roughly 12ms to established streaming sessions. Because routing decisions are made at edge POPs with pre-warmed connections to every provider, many requests complete faster through AI-Bridge than hitting a provider region directly from far away. Failover re-routing happens mid-flight without resetting the TCP connection.

More than 200 models across OpenAI (GPT-4o, GPT-4o mini, o-series), Anthropic (Claude 3.5/3.7 family), Google (Gemini 1.5/2.0 Pro and Flash), DeepSeek, Mistral, Meta Llama, Qwen, Cohere Command R, plus Whisper-class audio and popular embedding models. Missing a model? File a request and it is usually routed within 48 hours — the catalog is refreshed automatically as providers ship new versions.

Request processing happens server-side inside the gateway, so your prompts and payloads never transit through your client code beyond the API call itself. Traffic is encrypted in transit (TLS 1.3), scoped to your workspace with role-based access, and PII scrubbing rules run before anything is persisted. You can disable request logging per key if a workload must stay untracked.

Never. Request and response payloads are processed in memory for routing and telemetry, retained for a maximum of 30 days for debugging (configurable down to zero), and are never used for model training. Provider-side zero-retention endpoints are used wherever available, which is contractually guaranteed for OpenAI and Anthropic traffic routed through AI-Bridge.

Yes — the gateway implements the full /v1/chat/completions, /v1/completions, /v1/embeddings and /v1/models surface including streaming (SSE), function/tool calling, JSON mode, vision inputs and usage fields. Point api_base at https://mysite.com/v1, swap the API key, and existing code from the official OpenAI SDKs, LangChain, LiteLLM or any HTTP client keeps working unchanged.