Route production AI through one API key while Jatevo handles provider pools, model policy, credits, entitlements, media, and usage accounting behind the endpoint.
from openai import OpenAI client = OpenAI( base_url="https://api.jatevo.ai/v1", api_key="sk-jvo-..." ) stream = client.chat.completions.create( model="gpt-5.6-sol", messages=[{"role": "user", "content": "Ship it."}], stream=True )
API Master does not flatten every provider into the same thing. It exposes each upstream's strengths while keeping authentication, policy, and metering consistent.
Sol and Terra through pooled Codex infrastructure with streaming, reasoning controls, and a 372K combined context budget.
Long-context coding and agent workloads with translated OpenAI-compatible chat, responses, tools, and streaming.
GLM, Qwen, Nemotron, Gemma, and GPU-hosted routes exposed through explicit provider prefixes.
Unified generation APIs with model policy, credits, public IDs, and protected vendor credentials.
Soju provides the pooled GPT lane. API Master adds the operational layer needed to serve every Jatevo customer and every upstream from one surface.
Explore API documentation ↗Scoped models, enforced reasoning and service tiers, expiry, quotas, and revocation.
Customer balances, credit ledger, voucher campaigns, and Stripe top-ups.
Holder-aware entitlements and dedicated daily pools for eligible models.
Requests, tokens, cost attribution, errors, latency, and per-key audit history.
Enablement, holder-only gates, daily limits, aliases, and provider routing.
Upstream credentials stay server-side; customers only receive Jatevo keys.
Use the OpenAI SDK you already know, backed by Jatevo's multi-upstream control plane.