By Wang Chen
Looking back at the almost past year of 2025
It is a year for domestic large models like Qwen, DeepSeek
to cross the turning point
Beyond models, engineering technology
is also accelerating its evolution and implementation

The AI gateway we are working on
has transformed from a concept that sounds a bit new
into essential infrastructure that many clients
cannot do without when implementing AI

I remember at the beginning of the year when DeepSeek R1 was released
we held an urgent meeting overnight
to assist enterprises in quickly
transitioning from OpenAI to domestic large models
A few days later, Qwen2.5-Max was released
we responded quickly again
not to seize the spotlight
but to let those brave AI companies know
we are moving forward alongside them
At that time, we were also considering
that just supporting model switching is not enough
for large models to be truly useful
they need to be networked, have permission controls
to prevent abuse and allow for effect observation, etc.
Thus, in plugin form
we were the first in the industry to support networked searches
to help large models access full-text searches
and we laid out our practical experience
serving early clients
summarizing
eight typical scenarios of the AI gateway
To be honest
at that time we didn't expect
this would become the first complete AI gateway capability map in the industry
But for us
it is a map of user pain points
every piece was honed from real business
On the path of open source
we continuously expand the capability range of the AI gateway
for example, we opened up
a load balancing algorithm optimized for large models
cutting down the initial token latency by 50%
We open-sourced the subproject HiMarket
based on Alibaba's internal
AI open platform IdeaLAB
allowing every enterprise to have
a dedicated
model, application, and interface unified management platform
which facilitates architects and operations personnel
and also makes it easier
for programmers, operations, designers, and other
users of AI tools
Adding AgentScope and AgentRun
provides a relatively complete AI development toolchain

During the peak of MCP
many were troubled by the conversion of existing APIs to MCP
we open-sourced a low-code conversion tool
and built an MCP marketplace
to help developers
quickly connect to over 50 high-quality MCPs
A month later
Higress was selected
for the MCPMarket MCP Server
Global Top 100 Ranking

Major open-source client agents
began integrating Higress
Alibaba's Taotian business also used Higress

to quickly convert internal HSF services
into MCP Servers
This was again used by a corporate client after
Tongyi Qianwen, Bailian, PAI, Gaode, and Ele.me
(8)
This year
we also served many external clients
Ctrip shared at the China Trusted Cloud Conference
how they solved real challenges in launching large models through
Higress
becoming a reference example for many clients implementing the AI gateway
The Ant Group SOFA team
released SOFA Higress based on Higress
seeing their open-source project
deeply adopted by financial-grade clients
is a strong boost for us to continuously lead the AI gateway
Also, our angel user Sealos
shared on Reddit
their experience migrating from Nginx Ingress to Higress
and their complete journey of nearly a hundredfold performance improvement
has garnered praise from foreign developers
Higress is being recognized by the world
(9)
In addition to serving corporate clients
we have always valued relationships with developers
interacting with developers in various ways
for example, participating in
KubeCon, Zhejiang University Taiyi platform, and the Summer of Open Source at the Academy of Sciences
With the support of the Open Atom Foundation
we held the first Higress AI Gateway Developer Challenge
11 teams entered the finals
competing in technology and creativity around AI Agent, RAG, and intelligent routing

However, not every open-source project develops
smoothly
In November, we saw a very regrettable news
Ingress NGINX announced its retirement
The K8s community listed Higress and other open-source projects
and their cloud products
as officially recommended alternatives
While comforting, we also reflected
that open source cannot rely solely on enthusiasm to generate electricity
it must have sustainable commercial support
to go further
We launched
Serverless instances of Higress Enterprise Edition
for less than one-tenth of the resource cost
you can set up a high-availability AI gateway
Clients told us
that AI engineering
really can be this simple
For example, Semir
achieved unified management of multiple models and MCPs
through Higress Enterprise Edition
with overall efficiency improvement of 30%
quickly becoming a benchmark for AI implementation in the industry
Honor comes from accumulation
winning the
Outstanding Open Source Community Award
at the Wuzhen World Internet Conference
Community contributor Xing Guofu won
the Most Valuable Contributor Award
The AI gateway based on Feitian Enterprise Edition
won one of the three major innovation practice awards
and also participated in drafting the industry standards for AI gateways
led by the China Academy of Information and Communications Technology
with client cases from Ctrip, Guotai Junan Property Insurance, and Junrun Smart
being selected as best practices
These recognitions from the industry
will always be cherished memories
Looking back at this year
there has not been a single month that was easy
but every step was taken on solid ground
Writing code, doing open source, taking on demands, and running client projects
we firmly believe
open source
is our commitment to the industry
and business
is our responsibility to long-termism
In the future
we hope every enterprise that wants to use AI
can steadily take their first step
👣
👣
If you want to learn more about Alibaba Cloud API Gateway (Higress), please click: https://higress.ai/en/
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