LLM Gateway
One API for every LLM
OpenAI-compatible. Drop-in for any SDK. Your keys, your budgets, your spend — managed from one dashboard. Built-in playground, model hub, and admin panel come included.
Everything you need to run LLMs in production
A managed proxy, a virtual key per org, a cost dashboard, and a playground — all wired into your smooai workspace, all OpenAI-API compatible.
Nine labs, one endpoint
OpenAI, Anthropic, Google Gemini, Groq, plus direct connections to Alibaba DashScope (Qwen), DeepSeek, Moonshot (Kimi), Z.AI (GLM), and MiniMax — all behind one OpenAI-compatible URL. Switch models with a string change, no client SDK swap, no aggregator markup.
Keys you can manage
Each org gets a virtual API key — visible in the dashboard, rotatable in one click, scoped to your org without leaking master credentials.
Live cost tracking
Every request lands in a spend log. See month-to-date total, per-model breakdown, and a 30-day chart in your smooai dashboard. No surprise invoices.
Built-in playground
Hit any model from a chat UI without writing code. SSO from your smooai login — no separate auth, no separate workspace.
Model hub
Browse every available model with capabilities + per-token pricing. Pick the right model for the job, from a single discovery page.
Sub-100ms admin overhead
Direct calls to the gateway — no middleware proxy, no Lambda cold start, no extra hop. The virtual key authenticates LiteLLM-native.
Stop guessing your LLM bill
Every request lands in a per-org spend log within seconds. Set budgets, watch trend lines, and get warned before a single team's experiment turns into next quarter's surprise.
Monthly budget caps per org
Hard cap or soft alert. Hits the limit, requests start returning 429 — not a sticker-shock invoice.
Per-model breakdown
Which model burned how much, by team, by day. Catch a runaway prompt before it eats your AI budget.
Single bill, every model
No more aggregating five vendor invoices. We bill once monthly through Stripe — pass it to finance unchanged.
Audit-friendly logs
Every prompt + response + cost is captured. SOC 2 evidence collection is one CSV export away.
Quickstart
Sign up, create a virtual key from your dashboard, drop it in. Same SDKs, same shapes — just a different base URL. Full endpoint docs live in the API reference.
curl
curl https://llm.smoo.ai/v1/chat/completions \
-H "Authorization: Bearer $SMOOAI_LLM_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-haiku-4-5",
"messages": [{"role": "user", "content": "ping"}]
}'typescript
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.SMOOAI_LLM_KEY,
baseURL: 'https://llm.smoo.ai/v1',
});
const resp = await client.chat.completions.create({
model: 'claude-haiku-4-5',
messages: [{ role: 'user', content: 'ping' }],
});
console.log(resp.choices[0].message.content);Full model catalog
Every frontier model, one invoice
11 direct providers — no aggregator markup on primary routes. Bring the model your team already knows and pick by capability, benchmark, and price — every model is exposed directly through llm.smoo.ai.
Full catalog by provider
Every model each of our 11 direct providers publishes, routed through llm.smoo.ai. Prices are per million tokens in USD.
Last refreshed 2026-06-01
OpenAI
Workhorse utility tier + frontier GPT-5 when you need it
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
GPT-5.5 Pro Frontier reasoning tier — GA 2026-04-24 VisionMultimodal | gpt-5.5-pro | $30.00 | $180.00 | 400K | Frontier reasoning tier — GA 2026-04-24 |
GPT-5.5 Current OpenAI flagship — GA 2026-04-24 VisionMultimodalSWE-bench 82.6% | gpt-5.5 | $5.00 | $30.00 | 400K | Current OpenAI flagship — GA 2026-04-24 |
GPT-5.4 Mid-frontier 5.4 — between gpt-5 and gpt-5.5 VisionMultimodal | gpt-5.4 | $2.50 | $15.00 | 400K | Mid-frontier 5.4 — between gpt-5 and gpt-5.5 |
GPT-5.4 mini Cheaper smart-tier 5.4 sibling | gpt-5.4-mini | $0.75 | $4.50 | 400K | Cheaper smart-tier 5.4 sibling |
GPT-5.4 nano Ultra-cheap 5.4 nano | gpt-5.4-nano | $0.20 | $1.25 | 400K | Ultra-cheap 5.4 nano |
GPT-5.4 Pro GPT-5.4 Pro reasoning tier VisionMultimodal | gpt-5.4-pro | $30.00 | $180.00 | 400K | GPT-5.4 Pro reasoning tier |
GPT-5.2 GPT-5.2 — mid-tier between 5.1 and 5.4 VisionMultimodalSWE-bench 80%GPQA 92.4% | gpt-5.2 | $1.75 | $14.00 | 400K | GPT-5.2 — mid-tier between 5.1 and 5.4 |
GPT-5.2 Codex GPT-5.2 with Codex-coding training VisionMultimodal | gpt-5.2-codex | $1.75 | $14.00 | 400K | GPT-5.2 with Codex-coding training |
GPT-5.2 Pro GPT-5.2 Pro reasoning tier VisionMultimodal | gpt-5.2-pro | $21.00 | $168.00 | 400K | GPT-5.2 Pro reasoning tier |
GPT-5.1 GPT-5.1 — refined GPT-5 family entry VisionMultimodal | gpt-5.1 | $1.25 | $10.00 | 400K | GPT-5.1 — refined GPT-5 family entry |
GPT-5.1 Codex GPT-5.1 with Codex-coding training VisionMultimodal | gpt-5.1-codex | $1.25 | $10.00 | 400K | GPT-5.1 with Codex-coding training |
GPT-5 Frontier reasoning + tool use VisionMultimodalSWE-bench 74.9% | gpt-5 | $2.50 | $10.00 | 400K | Frontier reasoning + tool use |
GPT-5 Pro GPT-5 Pro reasoning tier VisionMultimodalGPQA 89.4% | gpt-5-pro | $15.00 | $120.00 | 400K | GPT-5 Pro reasoning tier |
GPT-5 Codex GPT-5 with Codex-coding training VisionMultimodal | gpt-5-codex | $1.25 | $10.00 | 400K | GPT-5 with Codex-coding training |
GPT-5 mini Cheap moderation + cost-floor utility | gpt-5-mini | $0.50 | $2.00 | 400K | Cheap moderation + cost-floor utility |
GPT-5 nano Cheapest GPT-5 variant | gpt-5-nano | $0.20 | $1.25 | 400K | Cheapest GPT-5 variant |
GPT-4.1 1M-context instruction following VisionMultimodal | gpt-4.1 | $2.00 | $8.00 | 1M | 1M-context instruction following |
GPT-4.1 mini Cheap long-context extraction | gpt-4.1-mini | $0.40 | $1.60 | 1M | Cheap long-context extraction |
GPT-4.1 nano Cost-floor 1M-context classification | gpt-4.1-nano | $0.10 | $0.40 | 1M | Cost-floor 1M-context classification |
GPT-4o Multimodal (vision + audio) legacy VisionMultimodal | gpt-4o | $2.50 | $10.00 | 128K | Multimodal (vision + audio) legacy |
GPT-4o mini Multimodal at near-embedding cost | gpt-4o-mini | $0.15 | $0.60 | 128K | Multimodal at near-embedding cost |
o4-mini Cheap reasoning-trace-visible o-series | o4-mini | $1.10 | $4.40 | 200K | Cheap reasoning-trace-visible o-series |
o3 o-series reasoning — visible chain-of-thought VisionMultimodal | o3 | $2.00 | $8.00 | 200K | o-series reasoning — visible chain-of-thought |
o3-mini Cheaper o3 sibling | o3-mini | $1.10 | $4.40 | 200K | Cheaper o3 sibling |
o3-pro o3 Pro — extended reasoning tier VisionMultimodal | o3-pro | $20.00 | $80.00 | 200K | o3 Pro — extended reasoning tier |
Anthropic
Safety-tuned reasoning — strict refusal lineage + prompt caching
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
Claude Opus 4.8 Current Anthropic flagship — 1M ctx, ~4× less likely to slip flaws than 4.7 (GA 2026-05-28) VisionMultimodalAA Index 61 | claude-opus-4-8 | $5.00 | $25.00 | 1M | Current Anthropic flagship — 1M ctx, ~4× less likely to slip flaws than 4.7 (GA 2026-05-28) |
Claude Opus 4.7 Prior flagship — SWE-bench Pro 64.3%, GA 2026-04-16 VisionMultimodal | claude-opus-4-7 | $5.00 | $25.00 | 200K | Prior flagship — SWE-bench Pro 64.3%, GA 2026-04-16 |
Claude Opus 4.6 Prior frontier — kept for pinned prompts VisionMultimodalSWE-bench 80.8%GPQA 90.5% | claude-opus-4-6 | $15.00 | $75.00 | 200K | Prior frontier — kept for pinned prompts |
Claude Sonnet 4.6 1M-context balanced workhorse VisionMultimodalSWE-bench 79.6%GPQA 89.3% | claude-sonnet-4-6 | $3.00 | $15.00 | 1M | 1M-context balanced workhorse |
Claude Sonnet 4.5 Stable predecessor Sonnet VisionMultimodal | claude-sonnet-4-5 | $3.00 | $15.00 | 200K | Stable predecessor Sonnet |
Claude Haiku 4.5 597ms TTFT — safety-tuned utility tier | claude-haiku-4-5 | $1.00 | $5.00 | 200K | 597ms TTFT — safety-tuned utility tier |
1M-context recall + dialable thinking budgets
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
Gemini 3.5 Flash Current Google flagship Flash — GA 2026-05-19, 76.2% Terminal-Bench 2.1 | gemini-3.5-flash | $1.50 | $9.00 | 1M | Current Google flagship Flash — GA 2026-05-19, 76.2% Terminal-Bench 2.1 |
Gemini 2.5 Pro Frontier reasoning + 1M multimodal | gemini-2.5-pro | $1.25 | $10.00 | 1M | Frontier reasoning + 1M multimodal |
Gemini 2.5 Flash IFEval leader in cheap Gemini tier — 1M context for summarization + planning | gemini-2.5-flash | $0.30 | $2.50 | 1M | IFEval leader in cheap Gemini tier — 1M context for summarization + planning |
Gemini 2.5 Flash-Lite Cost-floor utility tier (Google) | gemini-2.5-flash-lite | $0.10 | $0.40 | 1M | Cost-floor utility tier (Google) |
Gemini 2.0 Flash Legacy low-latency tier | gemini-2.0-flash | $0.10 | $0.40 | 1M | Legacy low-latency tier |
Gemini 2.0 Flash-Lite Ultra-cheap 2.x utility-tier sibling | gemini-2.0-flash-lite | — | — | 1M | Ultra-cheap 2.x utility-tier sibling |
Gemini 3 Flash (preview) Next-gen Flash — 3/3 PASS on CS escalation E2E | gemini-3-flash-preview | — | — | 1M | Next-gen Flash — 3/3 PASS on CS escalation E2E |
Gemini 3.1 Flash-Lite GA Flash-Lite — 2.1s TTFT latency champion, voice-pipeline candidate (promoted from preview 2026-05-29) | gemini-3.1-flash-lite | — | — | 1M | GA Flash-Lite — 2.1s TTFT latency champion, voice-pipeline candidate (promoted from preview 2026-05-29) |
Gemini 3.1 Flash-Lite (preview) Preview alias retained for pinned callers — use stable above for new code | gemini-3.1-flash-lite-preview | — | — | 1M | Preview alias retained for pinned callers — use stable above for new code |
Gemini 3 Pro (preview) Next-gen Pro — preview pricing TBD | gemini-3-pro-preview | — | — | 1M | Next-gen Pro — preview pricing TBD |
Gemini 3.1 Pro (preview) Next-gen Pro refresh — preview pricing TBD GPQA 94.3% | gemini-3.1-pro-preview | — | — | 1M | Next-gen Pro refresh — preview pricing TBD |
gemini-flash-latest (alias) Always-current stable Flash | gemini-flash-latest | — | — | 1M | Always-current stable Flash |
gemini-flash-lite-latest (alias) Always-current stable Flash-Lite | gemini-flash-lite-latest | — | — | 1M | Always-current stable Flash-Lite |
gemini-pro-latest (alias) Always-current stable Pro | gemini-pro-latest | — | — | 1M | Always-current stable Pro |
Gemini Embedding 002 First natively multimodal embedding — text + images + video + audio, Matryoshka 3072/1536/768 dims (GA 2026-04-23) Embeddings | gemini-embedding-002 | — | — | 8K | First natively multimodal embedding — text + images + video + audio, Matryoshka 3072/1536/768 dims (GA 2026-04-23) |
Gemini Embedding 001 3072-dim text embeddings — kept for index compatibility Embeddings | gemini-embedding-001 | $0.15 | — | 8K | 3072-dim text embeddings — kept for index compatibility |
Groq
Open-weight models on sub-second LPU inference
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
GPT-OSS 120B Open-weight GPT — smart/judge tier; single-turn validated (no parallel tool calls) | groq-gpt-oss-120b | $0.15 | $0.60 | 128K | Open-weight GPT — smart/judge tier; single-turn validated (no parallel tool calls) |
GPT-OSS 20B Cheap open-weight GPT — fast/voice/eval tier (reasoning_effort: low for sub-second TTFT) | groq-gpt-oss-20b | $0.10 | $0.30 | 128K | Cheap open-weight GPT — fast/voice/eval tier (reasoning_effort: low for sub-second TTFT) |
Qwen3.6 27B (Preview) Tool-calling / agentic tier — supports parallel tool calls (gpt-oss cannot); Preview, no SLA Agentic | groq-qwen3.6-27b | $0.80 | $3.00 | 128K | Tool-calling / agentic tier — supports parallel tool calls (gpt-oss cannot); Preview, no SLA |
GPT-OSS Safeguard 20B Safety-tuned open-weight GPT | groq-gpt-oss-safeguard-20b | $0.10 | $0.30 | 128K | Safety-tuned open-weight GPT |
Groq Compound (agentic) Multi-tool agentic system — web search + code exec built in | groq-compound | — | — | 128K | Multi-tool agentic system — web search + code exec built in |
Groq Compound Mini (agentic) Single-tool agentic — ~3× lower latency than full Compound | groq-compound-mini | — | — | 128K | Single-tool agentic — ~3× lower latency than full Compound |
DeepSeek
Frontier reasoning at rock-bottom per-token cost
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
DeepSeek V4-Flash 1M context, dual Thinking/Non-Thinking modes CodingReasoningAgenticSWE-bench 79% | deepseek-v4-flash | $0.14 | $0.28 | 1M | 1M context, dual Thinking/Non-Thinking modes |
DeepSeek V4-Pro Pro-tier V4 — 75% intro discount through 2026-05-31 CodingReasoningAgenticSWE-bench 79.4%AA Index 52 | deepseek-v4-pro | $0.43 | $0.87 | 1M | Pro-tier V4 — 75% intro discount through 2026-05-31 |
deepseek-chat (legacy alias → V4-Flash) Legacy alias — routes to V4-Flash; retiring 2026-07-24 CodingReasoning | deepseek-chat | $0.14 | $0.28 | 1M | Legacy alias — routes to V4-Flash; retiring 2026-07-24 |
deepseek-reasoner (legacy alias → V4-Pro) Legacy alias — routes to V4-Pro; retiring 2026-07-24 ReasoningThinking | deepseek-reasoner | $0.43 | $0.87 | 1M | Legacy alias — routes to V4-Pro; retiring 2026-07-24 |
DeepSeek V3.2 (aggregator) Aggregator-routed V3.2 — emergency failover only CodingReasoning | deepseek-v3.2 | $0.27 | $1.10 | 128K | Aggregator-routed V3.2 — emergency failover only |
DeepSeek R1 (aggregator) Aggregator-routed R1 reasoner — emergency failover only ReasoningThinking | deepseek-r1 | $0.55 | $2.19 | 64K | Aggregator-routed R1 reasoner — emergency failover only |
Moonshot
Kimi family — purpose-trained for agentic loops
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
Kimi K2.6 Current Kimi flagship — ties GPT-5.5 on SWE-Bench Pro, GA 2026-04-20 CodingReasoningAgenticSWE-bench 80.2%AA Index 54 | kimi-k2.6-direct | $0.95 | $4.00 | 262K | Current Kimi flagship — ties GPT-5.5 on SWE-Bench Pro, GA 2026-04-20 |
Kimi K2-Thinking Deepest reasoner in the Kimi line CodingReasoningThinkingAgentic | kimi-k2-thinking-direct | $0.60 | $2.50 | 256K | Deepest reasoner in the Kimi line |
Kimi K2.5 Prior general-purpose Kimi CodingReasoningAgentic | kimi-k2.5-direct | $0.60 | $2.50 | 256K | Prior general-purpose Kimi |
Kimi K2-Thinking (aggregator) Aggregator-routed K2-Thinking — emergency failover only CodingReasoningThinkingAgentic | kimi-k2-thinking | $0.60 | $2.50 | 256K | Aggregator-routed K2-Thinking — emergency failover only |
Kimi K2.5 (aggregator) Aggregator-routed K2.5 — emergency failover only CodingReasoningAgentic | kimi-k2.5 | $0.60 | $2.50 | 256K | Aggregator-routed K2.5 — emergency failover only |
Alibaba DashScope
Qwen family — 1M context at aggressive pricing
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
Qwen 3.7 Max Current Qwen flagship — agent-first, 200 tok/s, SWE-Pro/Terminal-Bench tier winner (GA 2026-05-20) ReasoningAgenticSWE-bench 80.4% | qwen-3.7-max-direct | $2.50 | $7.50 | 1M | Current Qwen flagship — agent-first, 200 tok/s, SWE-Pro/Terminal-Bench tier winner (GA 2026-05-20) |
Qwen 3.6 Plus Generalist Qwen flagship — GA 2026-04-02, 1M context | qwen-3.6-plus-direct | $0.33 | $1.95 | 1M | Generalist Qwen flagship — GA 2026-04-02, 1M context |
Qwen3-Coder-Flash Bench-winning coder — 16/16 aider-polyglot PASS CodingAgenticTools | qwen3-coder-flash-direct | $0.30 | $1.50 | 1M | Bench-winning coder — 16/16 aider-polyglot PASS |
Qwen3-Coder-Plus PR-review tuned for large diffs CodingAgenticTools | qwen3-coder-plus-direct | $1.00 | $5.00 | 1M | PR-review tuned for large diffs |
Qwen3-235B-Thinking-2507 Cheapest thinking-mode reasoning | qwen3-235b-a22b-thinking-2507 | $0.13 | $0.60 | 262K | Cheapest thinking-mode reasoning |
Qwen3-Coder-Plus (aggregator) Aggregator-routed Coder-Plus — emergency failover only CodingAgenticTools | qwen3-coder-plus | $1.00 | $5.00 | 1M | Aggregator-routed Coder-Plus — emergency failover only |
Qwen3-Coder-Flash (aggregator) Aggregator-routed Coder-Flash — emergency failover only CodingAgenticTools | qwen3-coder-flash | $0.30 | $1.50 | 1M | Aggregator-routed Coder-Flash — emergency failover only |
Z.ai (Zhipu)
GLM family — SOTA on SWE-bench Pro
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
GLM 5.1 58.4% SWE-Pro — coder-forward (GA 2026-04-07) CodingReasoningAgenticAA Index 51 | glm-5.1-direct | $0.60 | $2.20 | 200K | 58.4% SWE-Pro — coder-forward (GA 2026-04-07) |
GLM 5 Faster GLM (78 tok/s vs 5.1's 54) — GA 2026-02-11 CodingReasoningAgentic | glm-5-direct | $0.60 | $1.92 | 200K | Faster GLM (78 tok/s vs 5.1's 54) — GA 2026-02-11 |
GLM 5.1 (aggregator) Aggregator-routed GLM 5.1 — emergency failover only CodingReasoningAgenticAA Index 51 | glm-5.1 | $0.60 | $2.20 | 128K | Aggregator-routed GLM 5.1 — emergency failover only |
MiniMax
Cheapest frontier-class coder + reviewer
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
MiniMax M2.7 Current MiniMax flagship — same price as M2 CodingAgenticReviewSWE-bench 78% | minimax-m2.7-direct | $0.30 | $1.20 | 200K | Current MiniMax flagship — same price as M2 |
MiniMax M2.7 Highspeed ~100 tps throughput-optimized variant CodingAgenticReview | minimax-m2.7-highspeed-direct | $0.60 | $2.40 | 200K | ~100 tps throughput-optimized variant |
MiniMax M2 Frontier-class reviewer at $0.30 input CodingAgenticReview | minimax-m2-direct | $0.30 | $1.20 | 200K | Frontier-class reviewer at $0.30 input |
MiniMax M2.7 (aggregator) Aggregator-routed M2.7 — emergency failover only CodingAgenticReviewSWE-bench 78% | minimax-m2.7 | $0.30 | $1.20 | 200K | Aggregator-routed M2.7 — emergency failover only |
MiniMax M2.5 (aggregator) Aggregator-routed M2.5 — emergency failover only CodingAgenticReview | minimax-m2.5 | $0.30 | $1.20 | 200K | Aggregator-routed M2.5 — emergency failover only |
Xiaomi MiMo
Long-context (1M) models with an ultra-cheap flash tier
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
MiMo V2.5 Pro Flagship 1M-context reasoning + coding VisionMultimodal | mimo-v2.5-pro | $0.20 | $0.80 | 1M | Flagship 1M-context reasoning + coding |
MiMo V2.5 Cheaper 1M-context generalist VisionMultimodal | mimo-v2.5 | $0.08 | $0.80 | 1M | Cheaper 1M-context generalist |
MiMo V2 Pro Prior flagship — auto-routes to V2.5 from 2026-06-01 | mimo-v2-pro | $0.20 | $0.80 | 1M | Prior flagship — auto-routes to V2.5 from 2026-06-01 |
MiMo V2 Flash Ultra-cheap 256K flash tier ($0.01/M input) | mimo-v2-flash | $0.01 | $0.80 | 256K | Ultra-cheap 256K flash tier ($0.01/M input) |
MiMo V2 Omni Multimodal (text + vision + audio) — pricing TBD | mimo-v2-omni | — | — | — | Multimodal (text + vision + audio) — pricing TBD |
MiMo V2 TTS Text-to-speech — MiMo audio endpoint, not the chat gateway | mimo-v2-tts | — | — | TTS | Text-to-speech — MiMo audio endpoint, not the chat gateway |
MiMo V2.5 TTS Text-to-speech — MiMo audio endpoint, not the chat gateway | mimo-v2.5-tts | — | — | TTS | Text-to-speech — MiMo audio endpoint, not the chat gateway |
MiMo V2.5 TTS Voiceclone Voice-cloning TTS — MiMo audio endpoint, not the chat gateway | mimo-v2.5-tts-voiceclone | — | — | TTS | Voice-cloning TTS — MiMo audio endpoint, not the chat gateway |
MiMo V2.5 TTS Voicedesign Voice-design TTS — MiMo audio endpoint, not the chat gateway | mimo-v2.5-tts-voicedesign | — | — | TTS | Voice-design TTS — MiMo audio endpoint, not the chat gateway |
ElevenLabs
TTS for the voice pipeline
| Model | ID | Input / MTok | Output / MTok | Context | Strength |
|---|---|---|---|---|---|
Eleven Multilingual v2 High-fidelity multilingual TTS Speech | elevenlabs-tts | — | — | TTS | High-fidelity multilingual TTS |
Pricing is indicative — vendors change rates without notice. Routing + fallbacks auto-adjust against each provider's live pricing via LiteLLM. See API reference for the authoritative model list your key can hit right now.
Built for compliance
LLM data lives in an isolated database schema, invisible to the public REST API. RLS policies enforce that org members only see their org's keys + spend. No data leakage paths to design around.
Schema-isolated by design
Spend logs and key metadata live in a separate Postgres schema not exposed to PostgREST. The anon API key cannot reach LLM data — at all.
Org-scoped access
Row-level security: every read of a key or spend log enforces "your user is a member of this org" at the database layer. Defense in depth.
Drop us in — keep your code
Already using the OpenAI SDK? Point its base URL at https://llm.smoo.ai/v1 and you're done. No rewrite, no abstraction layer.