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"code": "resp = client.inference.text_embedding(\n inference_id=\"my-cohere-endpoint\",\n input=\"The sky above the port was the color of television tuned to a dead channel.\",\n task_settings={\n \"input_type\": \"ingest\"\n },\n)"
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"code": "resp = client.inference.text_embedding(\n inference_id=\"my-cohere-endpoint\",\n input=\"The sky above the port was the color of television tuned to a dead channel.\",\n input_type=\"ingest\",\n)"
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},
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{
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"language": "JavaScript",
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"code": "const response = await client.inference.textEmbedding({\n inference_id: \"my-cohere-endpoint\",\n input:\n \"The sky above the port was the color of television tuned to a dead channel.\",\n task_settings: {\n input_type: \"ingest\",\n },\n});"
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"code": "const response = await client.inference.textEmbedding({\n inference_id: \"my-cohere-endpoint\",\n input:\n \"The sky above the port was the color of television tuned to a dead channel.\",\n input_type: \"ingest\",\n});"
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},
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{
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"language": "Ruby",
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"code": "response = client.inference.text_embedding(\n inference_id: \"my-cohere-endpoint\",\n body: {\n \"input\": \"The sky above the port was the color of television tuned to a dead channel.\",\n \"task_settings\": {\n \"input_type\": \"ingest\"\n }\n }\n)"
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"code": "response = client.inference.text_embedding(\n inference_id: \"my-cohere-endpoint\",\n body: {\n \"input\": \"The sky above the port was the color of television tuned to a dead channel.\",\n \"input_type\": \"ingest\"\n }\n)"
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},
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{
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"language": "PHP",
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"code": "$resp = $client->inference()->textEmbedding([\n \"inference_id\" => \"my-cohere-endpoint\",\n \"body\" => [\n \"input\" => \"The sky above the port was the color of television tuned to a dead channel.\",\n \"task_settings\" => [\n \"input_type\" => \"ingest\",\n ],\n ],\n]);"
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"code": "$resp = $client->inference()->textEmbedding([\n \"inference_id\" => \"my-cohere-endpoint\",\n \"body\" => [\n \"input\" => \"The sky above the port was the color of television tuned to a dead channel.\",\n \"input_type\" => \"ingest\",\n ],\n]);"
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},
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{
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"language": "curl",
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"code": "curl -X POST -H \"Authorization: ApiKey $ELASTIC_API_KEY\" -H \"Content-Type: application/json\" -d '{\"input\":\"The sky above the port was the color of television tuned to a dead channel.\",\"task_settings\":{\"input_type\":\"ingest\"}}' \"$ELASTICSEARCH_URL/_inference/text_embedding/my-cohere-endpoint\""
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"code": "curl -X POST -H \"Authorization: ApiKey $ELASTIC_API_KEY\" -H \"Content-Type: application/json\" -d '{\"input\":\"The sky above the port was the color of television tuned to a dead channel.\",\"input_type\":\"ingest\"}' \"$ELASTICSEARCH_URL/_inference/text_embedding/my-cohere-endpoint\""
Copy file name to clipboardExpand all lines: specification/tasks/cancel/CancelTasksRequest.ts
+1-1Lines changed: 1 addition & 1 deletion
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@@ -34,7 +34,7 @@ import { TaskId } from '@_types/common'
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* To troubleshoot why a cancelled task does not complete promptly, use the get task information API with the `?detailed` parameter to identify the other tasks the system is running.
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* You can also use the node hot threads API to obtain detailed information about the work the system is doing instead of completing the cancelled task.
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