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For instance, if you are working with OpenAI, you can configure additional parameters such as temperature, top_p, and stream
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🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-proxy/
For instance, if you are working with OpenAI, you can configure additional parameters such as temperature, top_p, and stream

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-prompt-decorator/
You can optionally save the key to an environment variable as such: export OPENAI_API_KEY=<YOUR_OPENAI_API_KEY> If you are working with other LLM providers, please refer to the provider’s documentation to obtain an API key

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-cache/
🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-prompt-template/
You can optionally save the key to an environment variable: export OPENAI_API_KEY=<YOUR_OPENAI_API_KEY> If you are working with other LLM providers, please refer to the provider’s documentation to obtain an API key

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-prompt-guard/
You can optionally save the key to an environment variable as such: export OPENAI_API_KEY=<YOUR_OPENAI_API_KEY> If you are working with other LLM providers, please refer to the provider’s documentation to obtain an API key

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-aws-content-moderation/
user, tool and assistant follow request_check_mode; system is checked on every request (it can be poisoned by malicious ToolCall arguments overwriting the system prompt) and also covers OpenAI’s developer role, which replaces system on newer models

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-proxy-multi/
For instance, if you are working with OpenAI, DeepSeek, or AIMLAPI, you can configure additional parameters such as max_tokens, temperature, top_p, and stream

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/docs/apisix/plugins/ai-rate-limiting/
🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/cookbooks/redis-ai-cache/
If that copy fails, APISIX still serves the semantic hit and logs the error

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/integrations/redis/
Semantic response cacheAfter an exact miss, APISIX can embed a plain-text OpenAI Chat prompt and query Redis Search for a similar cached response

🤔 Introducing APISIX AI Gateway – Built for LLMs and AI workloads.

https://apisix.apache.org/ai-gateway/
Apache APISIX applies configured policies to AI and LLM traffic that passes through the gateway