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elasticmachineelasticmachine
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Auto-generated API code (#2707)
1 parent 655d62b commit ce4acd3

8 files changed

+68
-70
lines changed

Diff for: ‎docs/doc_examples/120fcf9f55128d6a81d5e87a9c235bbd.asciidoc

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[source, js]
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----
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const response = await client.inference.streamInference({
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task_type: "chat_completion",
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const response = await client.inference.chatCompletionUnified({
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inference_id: "openai-completion",
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model: "gpt-4o",
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messages: [
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{
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role: "user",
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content: "What is Elastic?",
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},
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],
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chat_completion_request: {
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model: "gpt-4o",
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messages: [
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{
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role: "user",
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content: "What is Elastic?",
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},
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],
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},
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});
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console.log(response);
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----

Diff for: ‎docs/doc_examples/13ecdf99114098c76b050397d9c3d4e6.asciidoc

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[source, js]
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----
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const response = await client.inference.inference({
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task_type: "sparse_embedding",
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const response = await client.inference.sparseEmbedding({
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inference_id: "my-elser-model",
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input:
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"The sky above the port was the color of television tuned to a dead channel.",

Diff for: ‎docs/doc_examples/45954b8aaedfed57012be8b6538b0a24.asciidoc

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@@ -3,42 +3,43 @@
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[source, js]
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----
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const response = await client.inference.streamInference({
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task_type: "chat_completion",
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const response = await client.inference.chatCompletionUnified({
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inference_id: "openai-completion",
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messages: [
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{
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role: "user",
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content: [
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{
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type: "text",
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text: "What's the price of a scarf?",
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chat_completion_request: {
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messages: [
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{
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role: "user",
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content: [
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{
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type: "text",
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text: "What's the price of a scarf?",
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},
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],
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},
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],
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tools: [
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{
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type: "function",
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function: {
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name: "get_current_price",
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description: "Get the current price of a item",
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parameters: {
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type: "object",
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properties: {
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item: {
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id: "123",
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},
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},
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},
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},
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],
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},
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],
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tools: [
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{
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},
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],
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tool_choice: {
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type: "function",
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function: {
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name: "get_current_price",
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description: "Get the current price of a item",
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parameters: {
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type: "object",
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properties: {
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item: {
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id: "123",
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},
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},
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},
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},
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},
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],
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tool_choice: {
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type: "function",
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function: {
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name: "get_current_price",
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},
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},
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});
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console.log(response);

Diff for: ‎docs/doc_examples/4b91ad7c9b44e07db4a4e81390f19ad3.asciidoc

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

Diff for: ‎docs/doc_examples/7429b16221fe741fd31b0584786dd0b0.asciidoc

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

Diff for: ‎docs/doc_examples/82bb6c61dab959f4446dc5ecab7ecbdf.asciidoc

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@@ -3,30 +3,31 @@
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[source, js]
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----
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const response = await client.inference.streamInference({
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task_type: "chat_completion",
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const response = await client.inference.chatCompletionUnified({
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inference_id: "openai-completion",
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messages: [
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{
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role: "assistant",
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content: "Let's find out what the weather is",
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tool_calls: [
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{
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id: "call_KcAjWtAww20AihPHphUh46Gd",
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type: "function",
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function: {
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name: "get_current_weather",
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arguments: '{"location":"Boston, MA"}',
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chat_completion_request: {
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messages: [
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{
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role: "assistant",
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content: "Let's find out what the weather is",
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tool_calls: [
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{
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id: "call_KcAjWtAww20AihPHphUh46Gd",
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type: "function",
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function: {
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name: "get_current_weather",
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arguments: '{"location":"Boston, MA"}',
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},
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},
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},
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],
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},
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{
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role: "tool",
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content: "The weather is cold",
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tool_call_id: "call_KcAjWtAww20AihPHphUh46Gd",
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},
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],
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],
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},
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{
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role: "tool",
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content: "The weather is cold",
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tool_call_id: "call_KcAjWtAww20AihPHphUh46Gd",
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},
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],
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},
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});
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console.log(response);
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----

Diff for: ‎docs/doc_examples/b45a8c6fc746e9c90fd181e69a605fad.asciidoc

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[source, js]
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----
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const response = await client.inference.inference({
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task_type: "completion",
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const response = await client.inference.completion({
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inference_id: "openai_chat_completions",
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input: "What is Elastic?",
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});

Diff for: ‎docs/doc_examples/f1b24217b1d9ba6ea5e4fa6e6f412022.asciidoc

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

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