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[DOCS] Remove instances of added in 0.0.0 + unrelated randomness (#5147)
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‎docs/examples/languageExamples.json

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‎output/openapi/elasticsearch-openapi.json

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‎output/schema/schema.json

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‎specification/inference/put_ai21/examples/request/PutAi21RequestExample2.yaml

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# summary:
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description: Run `PUT _inference/chat-completion/ai21-chat-completion` to create a AI21 inference endpoint that performs a `chat_completion` task.
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description:
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Run `PUT _inference/chat-completion/ai21-chat-completion` to create a AI21 inference endpoint that performs a
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`chat_completion` task.
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method_request: 'PUT _inference/chat-completion/ai21-chat-completion'
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# type: "request"
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value: |-

‎specification/inference/put_amazonsagemaker/examples/request/PutAmazonSageMakerRequestExample1.yaml

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summary: A text embedding task
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description: Run `PUT _inference/text_embedding/amazon_sagemaker_embeddings` to create an inference endpoint that performs a text embedding task.
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description:
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Run `PUT _inference/text_embedding/amazon_sagemaker_embeddings` to create an inference endpoint that performs a text
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embedding task.
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method_request: 'PUT _inference/text_embedding/amazon_sagemaker_embeddings'
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# type: "request"
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value: |-

‎specification/inference/put_amazonsagemaker/examples/request/PutAmazonSageMakerRequestExample3.yaml

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summary: A chat completion task
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description: Run `PUT _inference/chat_completion/amazon_sagemaker_chat_completion` to create an inference endpoint that performs a chat completion task.
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description:
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Run `PUT _inference/chat_completion/amazon_sagemaker_chat_completion` to create an inference endpoint that performs a
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chat completion task.
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method_request: 'PUT _inference/chat_completion/amazon_sagemaker_chat_completion'
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# type: "request"
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value: |-

‎specification/inference/put_amazonsagemaker/examples/request/PutAmazonSageMakerRequestExample4.yaml

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summary: A sparse embedding task
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description: Run `PUT _inference/sparse_embedding/amazon_sagemaker_sparse_embedding` to create an inference endpoint that performs a sparse embedding task.
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description:
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Run `PUT _inference/sparse_embedding/amazon_sagemaker_sparse_embedding` to create an inference endpoint that performs a
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sparse embedding task.
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method_request: 'PUT _inference/sparse_embedding/amazon_sagemaker_sparse_embedding'
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# type: "request"
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value: |-

‎specification/inference/put_custom/examples/request/PutCustomRequestExample5.yaml

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summary: Custom text embedding task (Hugging Face)
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description: Run `PUT _inference/text_embedding/custom-text-embedding-hf` to create an inference endpoint that performs a text embedding task by using the Qwen/Qwen3-Embedding-8B model.
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description:
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Run `PUT _inference/text_embedding/custom-text-embedding-hf` to create an inference endpoint that performs a text
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embedding task by using the Qwen/Qwen3-Embedding-8B model.
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method_request: 'PUT _inference/text_embedding/custom-text-embedding-hf'
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# type: "request"
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value: |-

‎specification/snapshot/create/SnapshotCreateRequest.ts

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* Create a snapshot.
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* Take a snapshot of a cluster or of data streams and indices.
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* @rest_spec_name snapshot.create
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* @availability stack since=0.0.0 stability=stable
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* @availability stack stability=stable
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* @availability serverless stability=stable visibility=private
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* @cluster_privileges create_snapshot
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* @doc_id snapshot-create-api

‎specification/snapshot/create_repository/SnapshotCreateRepositoryRequest.ts

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* Several options for this API can be specified using a query parameter or a request body parameter.
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* If both parameters are specified, only the query parameter is used.
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* @rest_spec_name snapshot.create_repository
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* @availability stack since=0.0.0 stability=stable
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* @availability stack stability=stable
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* @availability serverless stability=stable visibility=private
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* @cluster_privileges manage
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* @doc_id snapshot-repo-create

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