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Diffstat (limited to 'examples/server/completion.js.hpp')
-rw-r--r--examples/server/completion.js.hpp651
1 files changed, 448 insertions, 203 deletions
diff --git a/examples/server/completion.js.hpp b/examples/server/completion.js.hpp
index 5609ee3b..fe5f8122 100644
--- a/examples/server/completion.js.hpp
+++ b/examples/server/completion.js.hpp
@@ -1,204 +1,449 @@
-const char completion_js[] = R"LITERAL(
-const paramDefaults = {
- stream: true,
- n_predict: 500,
- temperature: 0.2,
- stop: ["</s>"]
+unsigned char completion_js[] = {
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+ 0x6e, 0x28, 0x29, 0x29, 0x3b, 0x0a, 0x20, 0x20, 0x7d, 0x0a, 0x20, 0x20,
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};
-
-let generation_settings = null;
-
-
-// Completes the prompt as a generator. Recommended for most use cases.
-//
-// Example:
-//
-// import { llama } from '/completion.js'
-//
-// const request = llama("Tell me a joke", {n_predict: 800})
-// for await (const chunk of request) {
-// document.write(chunk.data.content)
-// }
-//
-export async function* llama(prompt, params = {}, config = {}) {
- let controller = config.controller;
-
- if (!controller) {
- controller = new AbortController();
- }
-
- const completionParams = { ...paramDefaults, ...params, prompt };
-
- const response = await fetch("/completion", {
- method: 'POST',
- body: JSON.stringify(completionParams),
- headers: {
- 'Connection': 'keep-alive',
- 'Content-Type': 'application/json',
- 'Accept': 'text/event-stream',
- ...(params.api_key ? {'Authorization': `Bearer ${params.api_key}`} : {})
- },
- signal: controller.signal,
- });
-
- const reader = response.body.getReader();
- const decoder = new TextDecoder();
-
- let content = "";
- let leftover = ""; // Buffer for partially read lines
-
- try {
- let cont = true;
-
- while (cont) {
- const result = await reader.read();
- if (result.done) {
- break;
- }
-
- // Add any leftover data to the current chunk of data
- const text = leftover + decoder.decode(result.value);
-
- // Check if the last character is a line break
- const endsWithLineBreak = text.endsWith('\n');
-
- // Split the text into lines
- let lines = text.split('\n');
-
- // If the text doesn't end with a line break, then the last line is incomplete
- // Store it in leftover to be added to the next chunk of data
- if (!endsWithLineBreak) {
- leftover = lines.pop();
- } else {
- leftover = ""; // Reset leftover if we have a line break at the end
- }
-
- // Parse all sse events and add them to result
- const regex = /^(\S+):\s(.*)$/gm;
- for (const line of lines) {
- const match = regex.exec(line);
- if (match) {
- result[match[1]] = match[2]
- // since we know this is llama.cpp, let's just decode the json in data
- if (result.data) {
- result.data = JSON.parse(result.data);
- content += result.data.content;
-
- // yield
- yield result;
-
- // if we got a stop token from server, we will break here
- if (result.data.stop) {
- if (result.data.generation_settings) {
- generation_settings = result.data.generation_settings;
- }
- cont = false;
- break;
- }
- }
- if (result.error) {
- result.error = JSON.parse(result.error);
- if (result.error.content.includes('slot unavailable')) {
- // Throw an error to be caught by upstream callers
- throw new Error('slot unavailable');
- } else {
- console.error(`llama.cpp error: ${result.error.content}`);
- }
- }
- if (result.error) {
- result.error = JSON.parse(result.error);
- console.error(`llama.cpp error: ${result.error.content}`);
- }
- }
- }
- }
- } catch (e) {
- if (e.name !== 'AbortError') {
- console.error("llama error: ", e);
- }
- throw e;
- }
- finally {
- controller.abort();
- }
-
- return content;
-}
-
-// Call llama, return an event target that you can subscribe to
-//
-// Example:
-//
-// import { llamaEventTarget } from '/completion.js'
-//
-// const conn = llamaEventTarget(prompt)
-// conn.addEventListener("message", (chunk) => {
-// document.write(chunk.detail.content)
-// })
-//
-export const llamaEventTarget = (prompt, params = {}, config = {}) => {
- const eventTarget = new EventTarget();
- (async () => {
- let content = "";
- for await (const chunk of llama(prompt, params, config)) {
- if (chunk.data) {
- content += chunk.data.content;
- eventTarget.dispatchEvent(new CustomEvent("message", { detail: chunk.data }));
- }
- if (chunk.data.generation_settings) {
- eventTarget.dispatchEvent(new CustomEvent("generation_settings", { detail: chunk.data.generation_settings }));
- }
- if (chunk.data.timings) {
- eventTarget.dispatchEvent(new CustomEvent("timings", { detail: chunk.data.timings }));
- }
- }
- eventTarget.dispatchEvent(new CustomEvent("done", { detail: { content } }));
- })();
- return eventTarget;
-}
-
-// Call llama, return a promise that resolves to the completed text. This does not support streaming
-//
-// Example:
-//
-// llamaPromise(prompt).then((content) => {
-// document.write(content)
-// })
-//
-// or
-//
-// const content = await llamaPromise(prompt)
-// document.write(content)
-//
-export const llamaPromise = (prompt, params = {}, config = {}) => {
- return new Promise(async (resolve, reject) => {
- let content = "";
- try {
- for await (const chunk of llama(prompt, params, config)) {
- content += chunk.data.content;
- }
- resolve(content);
- } catch (error) {
- reject(error);
- }
- });
-};
-
-/**
- * (deprecated)
- */
-export const llamaComplete = async (params, controller, callback) => {
- for await (const chunk of llama(params.prompt, params, { controller })) {
- callback(chunk);
- }
-}
-
-// Get the model info from the server. This is useful for getting the context window and so on.
-export const llamaModelInfo = async () => {
- if (!generation_settings) {
- generation_settings = await fetch("/model.json").then(r => r.json());
- }
- return generation_settings;
-}
-)LITERAL";
-unsigned int completion_js_len = sizeof(completion_js);
+unsigned int completion_js_len = 5346;
generated by cgit v1.2.3 (git 2.25.1) at 2025-08-17 14:46:54 +0000