🚀 Now serving Llama 3.1, Claude 3.5, Gemini 2.0

Unified AI Inference
for Production Teams

One API key. Access GPT-4o, Claude Opus, Gemini Pro, Llama 3.1, and 30+ models. OpenAI-compatible. 99.9% uptime SLA. Sub-second latency.

Start for free View docs →
quickstart.py 
from openai import OpenAI

client = OpenAI(
    api_key="sk-inf-...",                  # your InferGate key
    base_url="https://api.infergate.xyz/v1"   # drop-in replacement
)

response = client.chat.completions.create(
    model="claude-3-5-sonnet-20241022",    # or gpt-4o, gemini-2.0-flash, ...
    messages=[{"role": "user", "content": "Hello!"}],
    max_tokens=1024,
)
print(response.choices[0].message.content)
Everything you need
Production-grade AI infrastructure, no ops required
🔄
OpenAI-compatible
Zero code changes needed. Point your existing OpenAI client at api.infergate.xyz. All endpoints, all parameters.
🌐
30+ models
GPT-4o, Claude 3.5 Sonnet, Gemini 2.0 Flash, Llama 3.1 70B, Mistral Large, and more — all behind one key.
⚡
Streaming first
SSE streaming for all models. Real-time token delivery with sub-350ms median TTFT across our global PoPs.
🔒
Enterprise security
TLS 1.3, key-scoped rate limits, audit logs, SOC 2 Type II compliant infrastructure.
🧠
Embeddings & RAG
text-embedding-3-small, ada-002, Nomic Embed — all available. Qdrant vector store integration built in.
🛠
Tool use & Agents
Full OpenAI tool calling, Anthropic tool use, and MCP (Model Context Protocol) server on the same endpoint.
Supported APIs
Access all major AI services through a unified gateway
REST
OpenAI
api.infergate.xyz/v1/
REST
Anthropic
api.infergate.xyz/v1/messages
REST
Google Gemini
api.infergate.xyz/v1beta/
REST
Ollama
:11434/api/
REST
HuggingFace TGI
:8080/generate
MCP
Model Context Protocol
api.infergate.xyz/mcp