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docs(gen): docs content review 2025-05-12 (#4944)
* docs(gen): docs content review 2025-05-12 * fix(tuto): fix typo
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pages/generative-apis/api-cli/understanding-errors.mdx

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meta:
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title: Understanding errors
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title: Understanding common errors with Generative APIs
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description: This page explains how to understand errors with Generative APIs
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content:
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h1: Understanding errors
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h1: Understanding common errors with Generative APIs
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paragraph: This page explains how to understand errors with Generative APIs
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tags: generative-apis ai-data understanding-data
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dates:
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validation: 2024-10-31
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validation: 2025-05-12
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posted: 2024-09-02
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pages/generative-apis/how-to/query-embedding-models.mdx

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paragraph: Learn how to interact with embedding models using Scaleway's Generative APIs service.
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tags: generative-apis ai-data embedding-models embeddings-api
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dates:
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posted: 2024-08-28
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pages/generative-apis/how-to/query-language-models.mdx

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paragraph: Learn how to interact with powerful language models using Scaleway's Generative APIs service.
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tags: generative-apis ai-data language-models chat-completions-api
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dates:
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pages/generative-apis/how-to/query-vision-models.mdx

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paragraph: Learn how to interact with powerful vision models using Scaleway's Generative APIs service.
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tags: generative-apis ai-data vision-models chat-completions-api
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pages/generative-apis/how-to/use-structured-outputs.mdx

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paragraph: Learn how to get consistent JSON format responses using Scaleway's Chat Completions API service.
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tags: chat-completions-api
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pages/generative-apis/quickstart.mdx

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paragraph: Get started with Scaleway Generative APIs for powerful AI-driven content generation. Follow this guide to set up, configure, and make your first API request.
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tags: generative-apis ai-data quickstart
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dates:
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posted: 2024-09-04
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categories:
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- ai-data

pages/instances/reference-content/understanding-automatic-network-hot-reconfiguration.mdx

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- compute
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tags: instance network hot-reconfiguration
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pages/instances/reference-content/understanding-qemu-guest-agent.mdx

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paragraph: Discover how the QEMU Guest Agent works with Scaleway Instances.
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tags: instance qga guemu guest agent
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pages/kubernetes/reference-content/kubernetes-load-balancer.mdx

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paragraph: This page provides information about creating and configuring a Load Balancer service for your Kubernetes cluster
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tags: kubernetes load-balancer loadbalancer service annotations ip expose
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- Modify your Load Balancer's configuration as necessary via the yaml manifest and [Load Balancer annotations](https://github.com/scaleway/scaleway-cloud-controller-manager/blob/master/docs/loadbalancer-annotations.md) , putting any new annotations into effect via kubectl, so the CCM can carry out the modifications as necessary.
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<Message type="important">
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Load Balancers for Kubernetes clusters should **always** be provisioned via the cluster's Cloud Controller Manager. It is **not** correct procedure to provision the Load Balancer by creating a Scaleway Load Balancer in the console or via the API, and then attempting to use it as your cluster's external Load Balancer. Similarly, you cannot use the Scaleway console or developer tools to edit your cluster's Load Balancer after creation, this must be done via the CCM, as detailed in this documentation.
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Load Balancers for Kubernetes clusters should **always** be provisioned via the cluster's Cloud Controller Manager. It is **not** correct procedure to provision the Load Balancer by creating a Scaleway Load Balancer in the console or via the API, and then attempting to use it as your cluster's external Load Balancer. Similarly, you cannot use the Scaleway console or developer tools to edit your cluster's Load Balancer after creation, this must be done via the CCM, as detailed in this documentation.
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## Creating a Load Balancer for your cluster: Step by step
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With annotations, you can configure parameters such as the balancing method, health check settings, and more.
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You should **never** try to modify the configuration of your cluster's Load Balancer via the Scaleway console, the API, or any other developer tools. Any modifications made this way will be overwritten by the cluster's CCM. You should **always** use annotations as described below to configure your cluster's Load Balancer.
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You should **never** try to modify the configuration of your cluster's Load Balancer via the Scaleway console, the API, or any other developer tools. Any modifications made this way will be overwritten by the cluster's CCM. You should **always** use annotations as described below to configure your cluster's Load Balancer.
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Add annotations to the `metadata` section of your LoadBalancer Service's yaml manifest as shown below. In this example we include two annotations, but you can include as many as you need.

pages/kubernetes/reference-content/managing-load-balancer-ips.mdx

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paragraph: Managing Load Balancer IPs
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tags: load-balancer load-balancer-ip kubernetes ip flexible-ip
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To modify your Load Balancer's IP address after creation, you must use the `kubectl patch` command. This updates the Load Balancer according to the arguments given.
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When you change the IP address of an existing Load Balancer, the Cloud Controller Manager will actually recreate the Load Balancer with the new IP, so a service interruption may be expected.
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When you change the IP address of an existing Load Balancer, the Cloud Controller Manager will actually recreate the Load Balancer with the new IP, so a service interruption may be expected.
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You must have an existing [Load Balancer flexible IP](https://console.scaleway.com/load-balancer/ips) in your account, that is not attached to any other Load Balancer.

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