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API7.ai

API7.ai is the company behind Apache APISIX, the most popular open-source API gateway. API7 offers enterprise API management (API7 Enterprise), an AI gateway for LLM traffic (API7 AI Gateway / AISIX), and a SaaS control plane (API7 Cloud). The platform helps organizations manage, secure, and optimize API traffic across microservices, AI/ML workloads, and multi-cloud environments.

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48 reach 7 · trust 5 · quality 21 · freshness 15
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llms.txt
https://api7.ai/llms.txt
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8
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9003 bytes
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#408945
Country
United States
Categories
Developer tools · AI and machine learning
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:43:06.793Z
Last checked
2026-10-21T02:39:11.133Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T02:39:08.767Z. Cached copy · Source on api7.ai

# API7.ai

> API7.ai is the company behind Apache APISIX, the most popular open-source API gateway. API7 offers enterprise API management (API7 Enterprise), an AI gateway for LLM traffic (API7 AI Gateway / AISIX), and a SaaS control plane (API7 Cloud). The platform helps organizations manage, secure, and optimize API traffic across microservices, AI/ML workloads, and multi-cloud environments.

Key facts:

- API7.ai is the original creator of Apache APISIX, which was donated to the Apache Software Foundation
- API7 Enterprise is built on Apache APISIX and adds a management dashboard, RBAC, audit logging, SSO, and enterprise support
- The AI Gateway (AISIX) supports 100+ LLM providers via an OpenAI-compatible interface with token-level rate limiting, semantic caching, prompt guardrails, and multi-LLM load balancing
- [Apache APISIX's current official homepage](https://apisix.apache.org/) displays headline figures of ~18,000 QPS per core and 0.2 ms added latency; it does not state the tested release, hardware/workload, or whether 0.2 ms is a mean or percentile
- [API7 Gateway's published benchmark](https://docs.api7.ai/api7-gateway/configure-and-manage/performance-benchmark) reports an average 167,019.37 QPS with 2.30 ms P99 for one route and no plugins on one c5.4xlarge Gateway node in a separate-node AWS EKS setup, and 23,652.91 QPS with 0.096 ms P99 for a single-host, one-worker, 100-route baseline; both proxy to NGINX, and the page does not identify the tested Gateway release
- [AISIX's published benchmark](https://docs.api7.ai/ai-gateway/deployment/performance-and-sizing) reports about 28,300 req/s at saturation on a dedicated AWS c7i.4xlarge with AISIX pinned to four vCPUs, and 0.31 / 0.51 / 0.59 ms P50 / P95 / P99 at 5,700 req/s for a roughly 1,000-token chat-completions request against a near-zero-latency mock with no traffic-control policies; the tested AISIX revision is not disclosed
- Published benchmarks are environment-specific reference results, not cross-product rankings or production guarantees; verify the tested version and reproduce production-like traffic and policies before sizing
- Deployment options: self-hosted (Docker, Kubernetes, bare metal), SaaS (API7 Cloud), or hybrid
- For technical documentation, see https://docs.api7.ai/llms.txt

## Products

- [API7 Enterprise](https://api7.ai/enterprise): Self-hosted API gateway and management platform built on Apache APISIX. Full API lifecycle management with dashboard, RBAC, audit logging, canary releases, and 24/7 support.
- [API7 Cloud](https://api7.ai/cloud): SaaS control plane for managing APISIX gateway instances across multi-cloud and hybrid environments.
- [AI Gateway (AISIX)](https://api7.ai/ai-gateway): AI-native gateway for LLM traffic. Unified OpenAI-compatible endpoint, multi-provider routing, token rate limiting, prompt templates/guardrails, semantic caching, and cost observability.
- [Apache APISIX](https://api7.ai/apisix): The open-source API gateway project with dyn
…

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