From 134f16544d9db0c9562d43a555c3e0479ffbc796 Mon Sep 17 00:00:00 2001 From: Jan-Kazlouski-elastic Date: Thu, 12 Jun 2025 10:44:49 +0000 Subject: [PATCH] Update inference API descriptions to include new Mistral task types (#4529) (cherry picked from commit 18b631e0bb4c66c36ed37557e688974396b102e6) --- output/openapi/elasticsearch-openapi.json | 4 ++-- output/openapi/elasticsearch-serverless-openapi.json | 4 ++-- output/schema/schema-serverless.json | 4 ++-- output/schema/schema.json | 4 ++-- specification/inference/put/PutRequest.ts | 2 +- 5 files changed, 9 insertions(+), 9 deletions(-) diff --git a/output/openapi/elasticsearch-openapi.json b/output/openapi/elasticsearch-openapi.json index 74b6696df8..b82d535797 100644 --- a/output/openapi/elasticsearch-openapi.json +++ b/output/openapi/elasticsearch-openapi.json @@ -17610,7 +17610,7 @@ "inference" ], "summary": "Create an inference endpoint", - "description": "IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)\n ##Required authorization\n* Cluster privileges: `manage_inference`", + "description": "IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`chat_completion`, `completion`, `text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)\n ##Required authorization\n* Cluster privileges: `manage_inference`", "operationId": "inference-put", "parameters": [ { @@ -17704,7 +17704,7 @@ "inference" ], "summary": "Create an inference endpoint", - "description": "IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)\n ##Required authorization\n* Cluster privileges: `manage_inference`", + "description": "IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`chat_completion`, `completion`, `text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)\n ##Required authorization\n* Cluster privileges: `manage_inference`", "operationId": "inference-put-1", "parameters": [ { diff --git a/output/openapi/elasticsearch-serverless-openapi.json b/output/openapi/elasticsearch-serverless-openapi.json index 32de79e27d..be7496cb01 100644 --- a/output/openapi/elasticsearch-serverless-openapi.json +++ b/output/openapi/elasticsearch-serverless-openapi.json @@ -9667,7 +9667,7 @@ "inference" ], "summary": "Create an inference endpoint", - "description": "IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)\n ##Required authorization\n* Cluster privileges: `manage_inference`", + "description": "IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`chat_completion`, `completion`, `text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)\n ##Required authorization\n* Cluster privileges: `manage_inference`", "operationId": "inference-put", "parameters": [ { @@ -9761,7 +9761,7 @@ "inference" ], "summary": "Create an inference endpoint", - "description": "IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)\n ##Required authorization\n* Cluster privileges: `manage_inference`", + "description": "IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`chat_completion`, `completion`, `text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)\n ##Required authorization\n* Cluster privileges: `manage_inference`", "operationId": "inference-put-1", "parameters": [ { diff --git a/output/schema/schema-serverless.json b/output/schema/schema-serverless.json index 42ea795910..b1cafeee5c 100644 --- a/output/schema/schema-serverless.json +++ b/output/schema/schema-serverless.json @@ -4729,7 +4729,7 @@ "visibility": "public" } }, - "description": "Create an inference endpoint.\n\nIMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)", + "description": "Create an inference endpoint.\n\nIMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`chat_completion`, `completion`, `text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)", "docId": "inference-api-put", "docUrl": "https://www.elastic.co/guide/en/elasticsearch/reference/{branch}/put-inference-api.html", "name": "inference.put", @@ -28111,7 +28111,7 @@ } } }, - "description": "Create an inference endpoint.\n\nIMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)", + "description": "Create an inference endpoint.\n\nIMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`chat_completion`, `completion`, `text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)", "inherits": { "type": { "name": "RequestBase", diff --git a/output/schema/schema.json b/output/schema/schema.json index 18af8d2521..40d6ab3ae0 100644 --- a/output/schema/schema.json +++ b/output/schema/schema.json @@ -9415,7 +9415,7 @@ "visibility": "public" } }, - "description": "Create an inference endpoint.\n\nIMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)", + "description": "Create an inference endpoint.\n\nIMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`chat_completion`, `completion`, `text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)", "docId": "inference-api-put", "docUrl": "https://www.elastic.co/guide/en/elasticsearch/reference/{branch}/put-inference-api.html", "name": "inference.put", @@ -156398,7 +156398,7 @@ } } }, - "description": "Create an inference endpoint.\n\nIMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)", + "description": "Create an inference endpoint.\n\nIMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.\nFor built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.\nHowever, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.\n\nThe following integrations are available through the inference API. You can find the available task types next to the integration name:\n* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)\n* Amazon Bedrock (`completion`, `text_embedding`)\n* Anthropic (`completion`)\n* Azure AI Studio (`completion`, `text_embedding`)\n* Azure OpenAI (`completion`, `text_embedding`)\n* Cohere (`completion`, `rerank`, `text_embedding`)\n* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)\n* ELSER (`sparse_embedding`)\n* Google AI Studio (`completion`, `text_embedding`)\n* Google Vertex AI (`rerank`, `text_embedding`)\n* Hugging Face (`text_embedding`)\n* Mistral (`chat_completion`, `completion`, `text_embedding`)\n* OpenAI (`chat_completion`, `completion`, `text_embedding`)\n* VoyageAI (`text_embedding`, `rerank`)\n* Watsonx inference integration (`text_embedding`)\n* JinaAI (`text_embedding`, `rerank`)", "inherits": { "type": { "name": "RequestBase", diff --git a/specification/inference/put/PutRequest.ts b/specification/inference/put/PutRequest.ts index 36eb3e88cb..90ea90f17e 100644 --- a/specification/inference/put/PutRequest.ts +++ b/specification/inference/put/PutRequest.ts @@ -41,7 +41,7 @@ import { TaskType } from '@inference/_types/TaskType' * * Google AI Studio (`completion`, `text_embedding`) * * Google Vertex AI (`rerank`, `text_embedding`) * * Hugging Face (`text_embedding`) - * * Mistral (`text_embedding`) + * * Mistral (`chat_completion`, `completion`, `text_embedding`) * * OpenAI (`chat_completion`, `completion`, `text_embedding`) * * VoyageAI (`text_embedding`, `rerank`) * * Watsonx inference integration (`text_embedding`)