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For instance, if you are working with OpenAI, you can configure additional parameters such as temperature, top_p, and stream
from the top result below
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
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
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
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
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
https://apisix.apache.org/docs/apisix/plugins/ai-cache/
🤔 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
https://apisix.apache.org/docs/apisix/plugins/ai-rate-limiting/
🤔 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