From 3a98eda4e3877957c97f4180e19a2c6dc3ce6065 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Baki=20Burak=20=C3=96=C4=9F=C3=BCn?= <63836730+bakiburakogun@users.noreply.github.com> Date: Wed, 26 Aug 2026 23:43:01 +0300 Subject: [PATCH] fix(ai): correct the Context Chat embedding API key env var name MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The documented name is CC_EM_API_KEY, but context_chat_backend reads CC_EM_APIKEY. An administrator following the docs gets an unauthenticated embedding client with no obvious sign of why. Signed-off-by: Baki Burak Öğün <63836730+bakiburakogun@users.noreply.github.com> --- admin_manual/ai/app_context_chat.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/admin_manual/ai/app_context_chat.rst b/admin_manual/ai/app_context_chat.rst index c654ded13d2..05d31395d40 100644 --- a/admin_manual/ai/app_context_chat.rst +++ b/admin_manual/ai/app_context_chat.rst @@ -100,7 +100,7 @@ Listed below are the major parts of the system that can be scaled independently 3. The embedding model performance | The embedding model performance can be scaled by using a hosted embedding service, locally or remotely hosted. It should be able to serve an OpenAI-compatible API. - | The embedding service URL can be set using the environment variable ``CC_EM_BASE_URL`` during deployment in the "Deploy Options". Other options like the model name, api key, or username and password can be set using the environment variables ``CC_EM_MODEL_NAME``, ``CC_EM_API_KEY``, ``CC_EM_USERNAME``, and ``CC_EM_PASSWORD`` respectively. + | The embedding service URL can be set using the environment variable ``CC_EM_BASE_URL`` during deployment in the "Deploy Options". Other options like the model name, api key, or username and password can be set using the environment variables ``CC_EM_MODEL_NAME``, ``CC_EM_APIKEY``, ``CC_EM_USERNAME``, and ``CC_EM_PASSWORD`` respectively. .. warning::