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๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/terminology/consumer/
A gateway like APISIX can then filter these requests using Plugins and forward it to the specified Upstream

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ldap-auth-advanced/
When consumer_required is disabled, users do not need to be enumerated in APISIX; with the default true, each authenticated user must still map to a Consumer by its user_dn

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/terminology/upstream/
Learn More Docs Description Upstream is a virtual host abstraction that performs load balancing on a given set of service nodes according to the configured rules. Although Upstream can be directly configured to the Route or Service, using

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/getting-started/README/
It provides dynamic routing, load balancing, authentication, rate limiting, observability, and 100+ plugins for managing API traffic at scale

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-prompt-decorator/
Learn More Docs Description The ai-prompt-decorator Plugin modifies user input prompts by prefixing and appending pre-engineered prompts to set contexts in content generation. This practice helps the model operate within desired

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/cas-auth/
Allowed values are "Lax" and "None"; "Strict" is intentionally not supported because it breaks the IdPโ†’SP redirect when the IdP is on a different site

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/zipkin/
which can be used in logger Plugins or access logs: zipkin_span_id: span ID of the current span Update the configuration file as below

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/terminology/credential/
Currently, Credential can be configured with the authentication plugins basic-auth, hmac-auth, jwt-auth, and key-auth

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/zh/docs/apisix/plugins/google-cloud-logging/
com", "project_id": "your-project-id", "private_key": "-----BEGIN PRIVATE KEY-----\n

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/redirect/
Do not use this if you have already handled the query string (for example, with an Nginx variable $request_uri) to avoid duplicates

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/grpc-transcode/
Learn More Docs Description The grpc-transcode Plugin transforms between HTTP requests and gRPC requests, as well as their corresponding responses. With this Plugin enabled, APISIX accepts an HTTP request from the client, transcodes and

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-prompt-guard/
Learn More Docs Description The ai-prompt-guard Plugin safeguards your LLM endpoints by inspecting and validating incoming prompt messages. It checks the content of requests against user-defined allowed and denied patterns to ensure that

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/opa/
Only set this option to true if you are sure it is safe to do so

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ldap-auth/
For example, cn=user01,ou=users,dc=example,dc=org

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/terminology/secret/
) in APISIX, and read them according to the key when using them to ensure that Secrets do not exist in plain text throughout the platform

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/dubbo-proxy/
See How do I build the APISIX runtime environment for details

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/file-logger/
APISIX will automatically reload and you do not have to restart for this to take effect

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-cache/
Learn More Docs Description The ai-cache Plugin caches LLM responses and replays them for later requests that resolve to the same prompt, cutting upstream token cost and latency for repetitive workloads (FAQ bots, document Q&A

้˜…่ฏป้œ€ 2 ๅˆ†้’Ÿ

https://answer.apache.org/zh-CN/blog/apache-answer-1.4.1-release
Don't miss the 4 new plugins that streamline Answer with the tools you love

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/benchmark/
Benchmark Test for reverse proxy Only used APISIX as the reverse proxy server, with no logging, limit rate, or other plugins enabled, and the response size was 1KB

2 min read

https://answer.apache.org/blog/apache-answer-1.4.1-release
Don't miss the 4 new plugins that streamline Answer with the tools you love

Apache Grailsยฎ Framework

https://grails.apache.org
Plugins Developers can build plugins that extend and enhance the Grails framework, or they can access existing plugins published by a vibrant plugin community

DUE TO SPAM, SIGN-UP IS DISABLED. Goto Selfserve wiki signup and request

https://cwiki.apache.org/confluence/display/GUMP
If your question is not answered on the main gump site, chances are, it is here

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/opentelemetry/
Learn More Docs Configurations By default, configurations of the Service name, tenant ID, collector, and batch span processor are pre-configured in default configuration. You can change this configuration of the Plugin through the

Security Model

https://answer.apache.org/community/security-model
Because the administrator has the authority to do so

Security Model

https://answer.apache.org/zh-CN/community/security-model
Because the administrator has the authority to do so

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/http-logger/
Learn More Docs Description The http-logger Plugin pushes request and response logs as JSON objects to HTTP(S) servers in batches and supports the customization of log formats. Attributes auth_header timeout log_formatFalseCustom log

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/graphql-proxy-cache/
Learn More Docs Description The graphql-proxy-cache Plugin provides caching for GraphQL query responses. It supports both disk-based and memory-based caching strategies for GET and POST requests. The cache key is derived from the plugin

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/pubsub/
Because Apache Kafka has its clustering and partition scheme, we do not need to use the Apache APISIX built-in load balancing algorithm, so we intercept and take over the processing flow before selecting the upstream node, using the kafka_access_phase function

๐Ÿค” Introducing APISIX AI Gateway โ€“ Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/skywalking/
Learn More Docs The skywalking Plugin supports the integrating with Apache SkyWalking for request tracing. SkyWalking uses its native Nginx Lua tracer to provide tracing, topology analysis, and metrics from both service and URI