From a89ede5b55dfab024bf4e7ccad70aedfecd9f84c Mon Sep 17 00:00:00 2001 From: Anton Dziatkovskii <194927794+tonydzi@users.noreply.github.com> Date: Fri, 14 Aug 2026 22:22:44 -0700 Subject: [PATCH] docs: add discontinuation note to Meta Llama API integration tile MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The hosted Llama API is being retired on July 6, 2026 and the meta-llama-haystack integration has been archived. Adds the 🚧 note in the house style of google-ai.md and points users to live alternatives for running Llama models. Addresses the haystack-integrations checklist item of deepset-ai/haystack-core-integrations#3544. Assisted-by: Claude Fable 5 --- integrations/meta_llama.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/integrations/meta_llama.md b/integrations/meta_llama.md index e819dd3d..99e0adda 100644 --- a/integrations/meta_llama.md +++ b/integrations/meta_llama.md @@ -25,6 +25,12 @@ toc: true ## Overview +🚧 **This integration is discontinued.** + +Meta is winding down the hosted Llama API (public preview) on **July 6, 2026** — after that date the service shuts down and API requests return a sunset response. Llama *models* remain available; only the hosted Llama API is being retired. The `meta-llama-haystack` integration has been archived (see [deepset-ai/haystack-core-integrations#3544](https://github.com/deepset-ai/haystack-core-integrations/issues/3544)). + +**You can keep using Meta Llama models with Haystack via other integrations**, for example [Ollama](https://haystack.deepset.ai/integrations/ollama), [Llama.cpp](https://haystack.deepset.ai/integrations/llama_cpp), [Hugging Face API](https://haystack.deepset.ai/integrations/huggingface-api), [Amazon Bedrock](https://haystack.deepset.ai/integrations/amazon-bedrock), or [Groq](https://haystack.deepset.ai/integrations/groq). + This integration supports Meta Llama models provided through Meta’s own inferencing infrastructure. To get the `LLAMA_API_KEY`, check out [the Llama API website](https://llama.developer.meta.com?utm_source=partner-haystack&utm_medium=website). You can use Llama models with `MetaLlamaChatGenerator`.