if can dealing site developers mozilla org site www openai org site:apache.org

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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

🤔 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/

A streamed response is written to the cache only after it completes — that is, the terminal event for the client protocol is received (data: [DONE] for OpenAI, message_stop for Anthropic, response

apache-airflow-providers-common-ai — apache-airflow-providers-common

https://airflow.apache.org/docs/apache-airflow-providers-common-ai/stable/index.html

Use a vendor’s own provider instead when the Dag needs that vendor’s native API surface — a service the vendor runs for you, which no vendor-neutral operator wraps: apache-airflow-providers-openai — the Embeddings, Responses, and Batch APIs

Apache Flink 2.2.0: Advancing Real-Time Data + AI and Empowering Stream

https://flink.apache.org/2025/12/04/apache-flink-2.2.0-advancing-real-time-data--ai-and-empowering-stream-processing-for-the-ai-era/

You can create models with specific providers (like OpenAI) and use them to make predictions on your data

Schedule

https://communityovercode.apache.org/events/glasgow-2026/lakehouse-day-glasgow

You can register for just the Lakehouse Day event, or receive a special discount if you register for both Community Over Code and Lakehouse Day

Introducing the Common AI Provider: LLM and AI Agent Support for Apache

https://airflow.apache.org/blog/common-ai-provider/

At Airflow Summit 2025, we previewed what native AI integration in Apache Airflow could look like

Apache Flink 2.1.0: Ushers in a New Era of Unified Real-Time Data + AI

https://flink.apache.org/2025/07/31/apache-flink-2.1.0-ushers-in-a-new-era-of-unified-real-time-data--ai-with-comprehensive-upgrades/

0: Ushers in a New Era of Unified Real-Time Data + AI with Comprehensive Upgrades | Apache Flink July 31, 2025 - Ron Liu (@Ron999) The Apache Flink PMC is proud to announce the release of Apache Flink 2

🤔 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/

🤔 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