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Auto-generated API code (#2707)

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This commit is contained in:
Elastic Machine
2025-04-07 21:31:00 +02:00
committed by GitHub
parent 655d62b7b5
commit ce4acd37ff
8 changed files with 69 additions and 71 deletions
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5
docs/doc_examples/120fcf9f55128d6a81d5e87a9c235bbd.asciidoc
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@ -3,9 +3,9 @@
[source, js] [source, js]
---- ----
const response = await client.inference.streamInference({ const response = await client.inference.chatCompletionUnified({
task_type: "chat_completion",
inference_id: "openai-completion", inference_id: "openai-completion",
chat_completion_request: {
model: "gpt-4o", model: "gpt-4o",
messages: [ messages: [
{ {
@ -13,6 +13,7 @@ const response = await client.inference.streamInference({
content: "What is Elastic?", content: "What is Elastic?",
}, },
], ],
},
}); });
console.log(response); console.log(response);
---- ----

3
docs/doc_examples/13ecdf99114098c76b050397d9c3d4e6.asciidoc
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@ -3,8 +3,7 @@
[source, js] [source, js]
---- ----
const response = await client.inference.inference({ const response = await client.inference.sparseEmbedding({
task_type: "sparse_embedding",
inference_id: "my-elser-model", inference_id: "my-elser-model",
input: input:
"The sky above the port was the color of television tuned to a dead channel.", "The sky above the port was the color of television tuned to a dead channel.",

5
docs/doc_examples/45954b8aaedfed57012be8b6538b0a24.asciidoc
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@ -3,9 +3,9 @@
[source, js] [source, js]
---- ----
const response = await client.inference.streamInference({ const response = await client.inference.chatCompletionUnified({
task_type: "chat_completion",
inference_id: "openai-completion", inference_id: "openai-completion",
chat_completion_request: {
messages: [ messages: [
{ {
role: "user", role: "user",
@ -40,6 +40,7 @@ const response = await client.inference.streamInference({
name: "get_current_price", name: "get_current_price",
}, },
}, },
},
}); });
console.log(response); console.log(response);
---- ----

3
docs/doc_examples/4b91ad7c9b44e07db4a4e81390f19ad3.asciidoc
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@ -3,8 +3,7 @@
[source, js] [source, js]
---- ----
const response = await client.inference.streamInference({ const response = await client.inference.streamCompletion({
task_type: "completion",
inference_id: "openai-completion", inference_id: "openai-completion",
input: "What is Elastic?", input: "What is Elastic?",
}); });

3
docs/doc_examples/7429b16221fe741fd31b0584786dd0b0.asciidoc
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@ -3,8 +3,7 @@
[source, js] [source, js]
---- ----
const response = await client.inference.inference({ const response = await client.inference.textEmbedding({
task_type: "text_embedding",
inference_id: "my-cohere-endpoint", inference_id: "my-cohere-endpoint",
input: input:
"The sky above the port was the color of television tuned to a dead channel.", "The sky above the port was the color of television tuned to a dead channel.",

5
docs/doc_examples/82bb6c61dab959f4446dc5ecab7ecbdf.asciidoc
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@ -3,9 +3,9 @@
[source, js] [source, js]
---- ----
const response = await client.inference.streamInference({ const response = await client.inference.chatCompletionUnified({
task_type: "chat_completion",
inference_id: "openai-completion", inference_id: "openai-completion",
chat_completion_request: {
messages: [ messages: [
{ {
role: "assistant", role: "assistant",
@ -27,6 +27,7 @@ const response = await client.inference.streamInference({
tool_call_id: "call_KcAjWtAww20AihPHphUh46Gd", tool_call_id: "call_KcAjWtAww20AihPHphUh46Gd",
}, },
], ],
},
}); });
console.log(response); console.log(response);
---- ----

3
docs/doc_examples/b45a8c6fc746e9c90fd181e69a605fad.asciidoc
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@ -3,8 +3,7 @@
[source, js] [source, js]
---- ----
const response = await client.inference.inference({ const response = await client.inference.completion({
task_type: "completion",
inference_id: "openai_chat_completions", inference_id: "openai_chat_completions",
input: "What is Elastic?", input: "What is Elastic?",
}); });

3
docs/doc_examples/f1b24217b1d9ba6ea5e4fa6e6f412022.asciidoc
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@ -3,8 +3,7 @@
[source, js] [source, js]
---- ----
const response = await client.inference.inference({ const response = await client.inference.rerank({
task_type: "rerank",
inference_id: "cohere_rerank", inference_id: "cohere_rerank",
input: ["luke", "like", "leia", "chewy", "r2d2", "star", "wars"], input: ["luke", "like", "leia", "chewy", "r2d2", "star", "wars"],
query: "star wars main character", query: "star wars main character",