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feat(AIGW): migrate Ensure chatbots adhere to compliance policies with the AI RAG Injector Policy - #7250

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Guaris wants to merge 1 commit into
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@Guaris

@Guaris Guaris commented Sep 15, 2026

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Guaris requested a review from a team as a code owner September 15, 2026 18:45
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include_content: md/ai-gateway/v2/prereqs/openai-kongctl
icon_url: /assets/icons/openai.svg
- title: Redis stack
include_content: prereqs/redis

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we probably need to tweak this or use a different one, it's exporting DECK_REDIS_HOST

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actually, can we modify the entire prereq to run

docker run -d --name redis-stack -p 6379:6379 redis/redis-stack-server:latest

it's easier than having people figuring out what to install and how


Before applying, export your Redis host so `kongctl` can reference it:

```bash

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this variable is exported in the prereq

return_code: 0
render_output: false
{% endvalidation %}
<!-- vale on -->

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should we run this script?

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this should send the chuncks to the policy

replace this whole section with a konnect_api_request step per doc,
following the pattern in app/_how-tos/event-gateway/kong-identity-oauth.md. -->

Once the Konnect API endpoint for AI RAG Injector content ingestion is confirmed, send each chunk from `inject_policy.py` to it, referencing your `my-ai-rag-injector-policy` Policy. This replaces the v1 workflow's `kong runner` Lua script — that approach relied on a self-managed data plane, which doesn't exist in Konnect-only {{site.ai_gateway}} 2.0.

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we should talk about this, does the policy expose an api endpoint too? if not it's almost imposible to do this

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2 participants