AI Gateway

One gateway forall your AI models.

Route, monitor, and manage 200+ LLM models through a single unified endpoint. Cost tracking, budget controls, and team management built in.

agent — claude-opus-4-6
How did the Q1 campaign perform?
google_analytics - get_report (MCP)
Running…
sessions: 12,847 (+34%)
meta_ads - get_insights (MCP)
Running…
spend: $2,340 cpa: $4.20 roas: 3.2x
stripe - list_charges (MCP)
Running…
revenue: $7,488 from 412 orders
Campaign ROI: 220%
Top channel: Instagram Stories (62%)
✓ Recommend: increase budget 20%
200+ Models/ 15+ Providers/ OpenAI Compatible API/ MCP Server Built-in/ Langfuse Tracing/ OAuth + API Keys/ Team Budgets/ Pass-through Anthropic/ 200+ Models/ 15+ Providers/ OpenAI Compatible API/ MCP Server Built-in/ Langfuse Tracing/ OAuth + API Keys/ Team Budgets/ Pass-through Anthropic/
Capabilities
Everything to run AI at scale
Routing, cost tracking, auth, and observability across every provider.
Smart Routing
Least-busy, cost-optimized, and latency-based routing across model deployments. Automatic failover and load balancing.
Cost Tracking
Per-request cost calculation with team budgets, spend alerts, usage quotas, and real-time spend dashboards.
API Keys
Per-team keys with model access controls and expiry.
MCP Server
Built-in Model Context Protocol with per-user auth.
Observability
Langfuse tracing with session grouping and metrics.
Drop-in Compatible
Any OpenAI SDK.
Change one line.
Point your existing client at the gateway. All models, all providers, same format. Anthropic pass-through supported too.
example.py
from openai import OpenAI client = OpenAI( base_url="https://gateway.infopuls.app", api_key="sk-your-key", ) resp = client.chat.completions.create( model="claude-opus-4-6-20250514", messages=[{ "role": "user", "content": "Hello!" }], ) print(resp.choices[0].message.content)
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