Auto-generated API code (#2707)

docs/doc_examples/120fcf9f55128d6a81d5e87a9c235bbd.asciidoc

@@ -3,9 +3,9 @@
 
 [source, js]
 ----
-const response = await client.inference.streamInference({
-  task_type: "chat_completion",
+const response = await client.inference.chatCompletionUnified({
   inference_id: "openai-completion",
+  chat_completion_request: {
     model: "gpt-4o",
     messages: [
       {
@@ -13,6 +13,7 @@ const response = await client.inference.streamInference({
         content: "What is Elastic?",
       },
     ],
+  },
 });
 console.log(response);
 ----

docs/doc_examples/13ecdf99114098c76b050397d9c3d4e6.asciidoc

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

docs/doc_examples/45954b8aaedfed57012be8b6538b0a24.asciidoc

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

docs/doc_examples/4b91ad7c9b44e07db4a4e81390f19ad3.asciidoc

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

docs/doc_examples/7429b16221fe741fd31b0584786dd0b0.asciidoc

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

docs/doc_examples/82bb6c61dab959f4446dc5ecab7ecbdf.asciidoc

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

docs/doc_examples/b45a8c6fc746e9c90fd181e69a605fad.asciidoc

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

docs/doc_examples/f1b24217b1d9ba6ea5e4fa6e6f412022.asciidoc

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