Every approved model behind one OpenAI-compatible endpoint.
One governed gateway for every AI model
Route requests, guard content, control spend and trace every model decision from one control plane, without rewriting your applications.
- OpenAI-compatible
- Bring your own keys
- Guardrails before inference
- Key checkedbudget 87%
- PII filterpassed
- Prompt injectionpassed
- Routedprimary
- OpenAI
- Anthropic
- Azure OpenAI
- Private endpoint
Your providers, behind one endpoint
- OpenAI
- Azure OpenAI
- Anthropic
- Private endpoints
- OpenAI-compatible SDKs
- Azure Key Vault
See the whole platform in 90 seconds
Real screens from the ZeaLLM portal: the dashboard, API keys and approvals, guardrail policies, request logs, and the FinOps, Tokenomics and budget views behind every dollar.
Built to govern how modern teams run AI
Every route, Garden policy, fallback and dollar becomes an explicit runtime decision your team can inspect. One place to standardize providers, budgets and observability.
Guardrails Garden validators ready to attach to a policy.
Change the base URL in your SDK. Streaming, tool calls and structured output keep working.
A flexible gateway that routes, guards and meters every request
Route to the best model
Score providers by health, latency, cost and region, with runtime fallbacks that never touch application code.
- 1claude-sonnet-4Primary
- 2gpt-4.1Fallback 1
- 3gpt-4.1-miniFallback 2
Guard every request
Compose policies from 66 Guardrails Garden validators and run them before and after the model responds.
- 1PII filterRedacted
- 2Prompt injectionPassed
- 3ToxicityPassed
Control and attribute spend
Hierarchical budgets block, warn or require approval. Chargeback and showback close the period with real numbers.
One trace per request
Provider choice, guardrail results, cost, latency and identity on one timeline, without prompt content in the interface.
- Auth + budget9 ms
- Guardrails31 ms
- Provider784 ms
- Cost + log18 ms
Keys with limits built in
Virtual keys carry their team, access group, budget and rate limits. Requests and approvals run through the portal.
Launch your governed gateway in minutes
Connect your providers, define your policies, and the gateway governs every request straight away.
- 01
Connect your providers
Bring your own OpenAI, Azure OpenAI and Anthropic keys. Secrets stay encrypted or referenced from Key Vault.
- 02
Configure guardrails and budgets
Attach Garden policies and hierarchical budgets to keys, teams or organizations in a few clicks.
- 03
Route through one endpoint
Change the base URL in your OpenAI-compatible SDK and every request is governed, traced and attributed.
from openai import OpenAI client = OpenAI( base_url="https://<your-gateway>/v1", api_key=os.environ["ZEALLM_API_KEY"],) # Same request shape. The gateway routes, guards and meters it.client.chat.completions.create(model="gpt-4.1", messages=[...])
- Streaming
- Tool calls
- Structured output
- Embeddings
Works with the providers you already use
Bring every model behind one governed endpoint by connecting the platforms your teams rely on every day.
OpenAI
Chat, embeddings, tools
Azure OpenAI
Enterprise deployments
Anthropic
Claude model family
Private endpoints
OpenAI-compatible
OpenAI-compatible SDKs
One-line migration
Azure Key Vault
Secret references
One control plane for everyone who ships AI
Platform
- One endpoint for every approved model
- Fallback chains and health checks
- Virtual keys with rate limits
Security
- Garden policies before and after the model
- Audit trail for every change
- Secrets referenced from Key Vault
Finance
- Budgets that block, warn or need approval
- Chargeback and showback statements
- Spend by team, key and model
Developers
- Keep the OpenAI SDK you already use
- Request a key in the portal
- Trace every call with cost and latency
Use an OpenAI-compatible endpoint or supported SDK and point the base URL to the gateway. Your application keeps its request shape while routing, policy and observability move into ZeaLLM.
Start governing every AI request today
Connect two providers, attach one Garden policy and put a production request through ZeaLLM. Then measure the route, block rate, trace and cost with your team.