First upload version 0.0.1
This commit is contained in:
Neyra
539
node_modules/node-llama-cpp/dist/chatWrappers/HarmonyChatWrapper.js
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vendored
Normal file
539
node_modules/node-llama-cpp/dist/chatWrappers/HarmonyChatWrapper.js
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vendored
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@@ -0,0 +1,539 @@
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import { ChatWrapper } from "../ChatWrapper.js";
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import { SpecialToken, LlamaText, SpecialTokensText } from "../utils/LlamaText.js";
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import { ChatModelFunctionsDocumentationGenerator } from "./utils/ChatModelFunctionsDocumentationGenerator.js";
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import { jsonDumps } from "./utils/jsonDumps.js";
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const defaultModelIdentity = "You are ChatGPT, a large language model trained by OpenAI.";
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const defaultCuttingKnowledgeDate = new Date("2024-06-01T00:00:00Z");
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const defaultReasoningEffort = "medium";
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// source: https://github.com/openai/harmony, https://cookbook.openai.com/articles/openai-harmony,
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// https://github.com/openai/openai-cookbook/blob/main/articles/openai-harmony.md
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export class HarmonyChatWrapper extends ChatWrapper {
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wrapperName = "Harmony";
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modelIdentity;
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cuttingKnowledgeDate;
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todayDate;
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reasoningEffort;
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requiredChannels;
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keepOnlyLastThought;
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/** @internal */ _jinjaFlags;
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settings = {
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supportsSystemMessages: true,
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functions: {
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call: {
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optionalPrefixSpace: true,
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prefix: LlamaText(new SpecialTokensText(" to="), "functions."),
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paramsPrefix: LlamaText(new SpecialTokensText("<|constrain|>json<|message|>")),
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suffix: LlamaText(new SpecialTokensText("<|call|>")),
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emptyCallParamsPlaceholder: {}
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},
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result: {
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prefix: LlamaText(new SpecialTokensText("<|start|>"), "functions.{{functionName}}", new SpecialTokensText(" to=assistant<|channel|>commentary<|message|>")),
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suffix: LlamaText(new SpecialTokensText("<|end|>"))
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}
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},
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segments: {
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thought: {
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prefix: LlamaText(new SpecialTokensText("<|channel|>analysis<|message|>")),
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suffix: LlamaText(new SpecialTokensText("<|end|>"))
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},
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comment: {
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prefix: LlamaText(new SpecialTokensText("<|channel|>commentary<|message|>")),
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suffix: LlamaText(new SpecialTokensText("<|end|>"))
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}
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}
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};
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constructor(options = {}) {
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super();
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const { modelIdentity = defaultModelIdentity, cuttingKnowledgeDate = defaultCuttingKnowledgeDate, todayDate = () => new Date(), reasoningEffort = defaultReasoningEffort, requiredChannels = {}, keepOnlyLastThought = true, _jinjaFlags = {} } = options;
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this.modelIdentity = modelIdentity;
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this.cuttingKnowledgeDate = cuttingKnowledgeDate == null
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? null
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: cuttingKnowledgeDate instanceof Function
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? cuttingKnowledgeDate
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: new Date(cuttingKnowledgeDate);
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this.todayDate = todayDate == null
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? null
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: todayDate instanceof Function
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? todayDate
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: new Date(todayDate);
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this.reasoningEffort = reasoningEffort;
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this.requiredChannels = {
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analysis: requiredChannels.analysis ?? true,
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commentary: requiredChannels.commentary ?? true,
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final: requiredChannels.final ?? true
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};
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this.keepOnlyLastThought = keepOnlyLastThought;
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this._jinjaFlags = {
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emptyLastModelResponseIsFinalMessage: false,
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useSpecialTokensForFullSystemMessage: false,
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disableNonFinalFinalMessages: false,
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useNonFinalFinalMessage: false,
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noFinalMessages: false,
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..._jinjaFlags
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};
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}
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generateContextState({ chatHistory, availableFunctions, documentFunctionParams }) {
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const hasFunctions = Object.keys(availableFunctions ?? {}).length > 0;
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const modifiedChatHistory = chatHistory.slice();
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let systemMessage = LlamaText();
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if (modifiedChatHistory[0]?.type === "system") {
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systemMessage = LlamaText.fromJSON(modifiedChatHistory[0].text);
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modifiedChatHistory.shift();
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}
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const contextContent = [
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this._getPreamble(hasFunctions)
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];
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if (systemMessage.values.length > 0 || hasFunctions)
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contextContent.push(LlamaText([
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new SpecialTokensText("<|start|>developer<|message|>"),
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this._getFirstDeveloperMessage(systemMessage, availableFunctions, { documentParams: documentFunctionParams }),
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new SpecialTokensText("<|end|>")
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]));
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let needsTriggers = true;
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for (let i = 0; i < modifiedChatHistory.length; i++) {
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const isLastItem = i === modifiedChatHistory.length - 1;
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const item = modifiedChatHistory[i];
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if (item == null)
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continue;
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if (item.type === "system") {
|
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contextContent.push(LlamaText([
|
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new SpecialTokensText("<|start|>developer<|message|>"),
|
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LlamaText.fromJSON(item.text),
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isLastItem
|
||||
? LlamaText([])
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: new SpecialTokensText("<|end|>")
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||||
]));
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||||
if (isLastItem)
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needsTriggers = false;
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}
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else if (item.type === "user") {
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contextContent.push(LlamaText([
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new SpecialTokensText("<|start|>user<|message|>"),
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item.text,
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isLastItem
|
||||
? LlamaText([])
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: new SpecialTokensText("<|end|>")
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||||
]));
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||||
if (isLastItem)
|
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needsTriggers = false;
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||||
}
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else if (item.type === "model") {
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const { res, needsTriggers: modelNeedsTriggers } = this._getModelResponse(item.response, true, isLastItem, this.keepOnlyLastThought);
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if (isLastItem)
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needsTriggers = modelNeedsTriggers;
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contextContent.push(res);
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}
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else
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void item;
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}
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const contextText = LlamaText(contextContent);
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if (!needsTriggers)
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return {
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contextText,
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stopGenerationTriggers: [
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LlamaText(new SpecialToken("EOS")),
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LlamaText(new SpecialTokensText("<|return|>")),
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LlamaText("<|return|>")
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],
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detectFunctionCalls: false,
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rerender: {
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triggers: [
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LlamaText(new SpecialTokensText("<|end|>"))
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],
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action: "closeResponseItem"
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}
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};
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return {
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contextText,
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stopGenerationTriggers: [
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LlamaText(new SpecialToken("EOS")),
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LlamaText(new SpecialTokensText("<|return|>")),
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LlamaText("<|return|>")
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],
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prefixTriggers: [
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{
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type: "segment",
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||||
segmentType: "thought",
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triggers: [
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LlamaText(new SpecialTokensText("<|channel|>analysis<|message|>"))
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]
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}, {
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type: "segment",
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||||
segmentType: "comment",
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triggers: [
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// the trigger here includes the `<|message|>` part
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// to not conflict with the `<|channel|>commentary to=` prefix used for function calls
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LlamaText(new SpecialTokensText("<|channel|>commentary<|message|>"))
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]
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}, {
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type: "response",
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triggers: [
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LlamaText(new SpecialTokensText("<|channel|>final"))
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],
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inject: LlamaText(new SpecialTokensText("<|message|>"))
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},
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{
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type: "functionCall",
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triggers: [
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LlamaText(new SpecialTokensText("<|channel|>commentary to="))
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],
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replaceTrigger: true,
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inject: LlamaText(new SpecialTokensText("<|channel|>commentary"))
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}, {
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type: "functionCall",
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||||
triggers: [
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LlamaText(new SpecialTokensText("<|channel|>analysis to="))
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],
|
||||
replaceTrigger: true,
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||||
inject: LlamaText(new SpecialTokensText("<|channel|>analysis"))
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||||
}
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],
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noPrefixTrigger: {
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type: "response",
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inject: LlamaText(new SpecialTokensText("<|channel|>final<|message|>"))
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},
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detectFunctionCalls: false,
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rerender: {
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||||
triggers: [
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LlamaText(new SpecialTokensText("<|end|>"))
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],
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action: "closeResponseItem"
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}
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||||
};
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}
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generateFunctionCall(name, params) {
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const emptyCallParamsPlaceholder = this.settings.functions.call.emptyCallParamsPlaceholder;
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return LlamaText([
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new SpecialTokensText("<|start|>assistant<|channel|>commentary to="),
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"functions.", name,
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this.settings.functions.call.paramsPrefix,
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params === undefined
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? (emptyCallParamsPlaceholder === undefined || emptyCallParamsPlaceholder === "")
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? ""
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: jsonDumps(emptyCallParamsPlaceholder)
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: jsonDumps(params),
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this.settings.functions.call.suffix
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]);
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}
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generateFunctionCallResult(functionName, functionParams, result) {
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return LlamaText([
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new SpecialTokensText("<|start|>"),
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"functions.", functionName,
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new SpecialTokensText(" to=assistant<|channel|>commentary<|message|>"),
|
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(result === undefined
|
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? ""
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: jsonDumps(result)),
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new SpecialTokensText("<|end|>")
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]);
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}
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generateModelResponseText(modelResponse, useRawValues = true) {
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const { res } = this._getModelResponse(modelResponse, useRawValues, false, false);
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const [start, ...rest] = res.values;
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let newStart = start;
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let newEnd = rest.pop();
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if (newStart instanceof SpecialTokensText && newStart.value.startsWith("<|start|>assistant"))
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newStart = new SpecialTokensText(newStart.value.slice("<|start|>assistant".length));
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if (newEnd instanceof SpecialTokensText && newEnd.value.startsWith("<|end|>"))
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newEnd = new SpecialTokensText(newEnd.value.slice("<|end|>".length));
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else if (newEnd instanceof SpecialTokensText && newEnd.value.startsWith("<|return|>"))
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newEnd = new SpecialTokensText(newEnd.value.slice("<|return|>".length));
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return LlamaText([
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newStart ?? [],
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...rest,
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newEnd ?? []
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]);
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}
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generateAvailableFunctionsSystemText(availableFunctions, { documentParams = true }) {
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const functionsDocumentationGenerator = new ChatModelFunctionsDocumentationGenerator(availableFunctions);
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if (!functionsDocumentationGenerator.hasAnyFunctions)
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return LlamaText([]);
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return LlamaText.joinValues("\n", [
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||||
"# Tools",
|
||||
"",
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"## functions",
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"",
|
||||
"namespace functions {",
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||||
"",
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functionsDocumentationGenerator
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.getTypeScriptFunctionTypes({ documentParams })
|
||||
.split("\n")
|
||||
.map((line) => line.trim())
|
||||
.join("\n"),
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"",
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"} // namespace functions"
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]);
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||||
}
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/** @internal */
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_getFirstDeveloperMessage(systemPrompt, availableFunctions, { documentParams = true } = {}) {
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const functionsDocumentationGenerator = new ChatModelFunctionsDocumentationGenerator(availableFunctions);
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if (!functionsDocumentationGenerator.hasAnyFunctions && systemPrompt.values.length === 0)
|
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return LlamaText([]);
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if (!functionsDocumentationGenerator.hasAnyFunctions)
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return LlamaText([
|
||||
this._jinjaFlags.useSpecialTokensForFullSystemMessage
|
||||
? new SpecialTokensText("# Instructions\n\n")
|
||||
: "# Instruction\n\n",
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||||
systemPrompt
|
||||
]);
|
||||
return LlamaText([
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||||
this._jinjaFlags.useSpecialTokensForFullSystemMessage
|
||||
? new SpecialTokensText("# Instructions\n\n")
|
||||
: "# Instructions\n\n",
|
||||
systemPrompt.values.length > 0
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? [systemPrompt, "\n\n"]
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: [],
|
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this.generateAvailableFunctionsSystemText(availableFunctions ?? {}, { documentParams })
|
||||
]);
|
||||
}
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||||
/** @internal */
|
||||
_getModelResponse(modelResponse, useRawValues, isLastItem, keepOnlyLastThought) {
|
||||
const res = [];
|
||||
let canEnableTriggers = true;
|
||||
for (let index = 0; index < modelResponse.length; index++) {
|
||||
const isLastResponse = index === modelResponse.length - 1;
|
||||
const response = modelResponse[index];
|
||||
if (response == null)
|
||||
continue;
|
||||
else if (response === "" && (!isLastResponse || !isLastItem))
|
||||
continue;
|
||||
if (typeof response === "string") {
|
||||
if (isLastItem && isLastResponse) {
|
||||
if (response === "" && !this._jinjaFlags.emptyLastModelResponseIsFinalMessage)
|
||||
canEnableTriggers = true;
|
||||
else if (!this._jinjaFlags.useNonFinalFinalMessage) {
|
||||
res.push(LlamaText([
|
||||
new SpecialTokensText("<|start|>assistant<|channel|>final<|message|>"),
|
||||
response
|
||||
]));
|
||||
canEnableTriggers = false;
|
||||
}
|
||||
else {
|
||||
res.push(LlamaText([
|
||||
new SpecialTokensText("<|start|>assistant<|message|>"),
|
||||
response
|
||||
]));
|
||||
canEnableTriggers = false;
|
||||
}
|
||||
}
|
||||
else if (!this._jinjaFlags.noFinalMessages && (isLastResponse || !this._jinjaFlags.disableNonFinalFinalMessages))
|
||||
res.push(LlamaText([
|
||||
new SpecialTokensText("<|start|>assistant<|channel|>final<|message|>"),
|
||||
response,
|
||||
new SpecialTokensText("<|end|>")
|
||||
]));
|
||||
else
|
||||
res.push(LlamaText([
|
||||
new SpecialTokensText("<|start|>assistant<|message|>"),
|
||||
response,
|
||||
new SpecialTokensText("<|end|>")
|
||||
]));
|
||||
}
|
||||
else if (response.type === "segment") {
|
||||
if (response.ended && response.raw != null && useRawValues)
|
||||
res.push(LlamaText([
|
||||
new SpecialTokensText("<|start|>assistant"),
|
||||
LlamaText.fromJSON(response.raw)
|
||||
]));
|
||||
else if (response.segmentType === "thought") {
|
||||
if (keepOnlyLastThought && !isLastItem)
|
||||
continue;
|
||||
res.push(LlamaText([
|
||||
new SpecialTokensText("<|start|>assistant<|channel|>analysis<|message|>"),
|
||||
response.text,
|
||||
(isLastItem && !response.ended)
|
||||
? LlamaText([])
|
||||
: new SpecialTokensText("<|end|>")
|
||||
]));
|
||||
if (isLastItem && isLastResponse && !response.ended)
|
||||
canEnableTriggers = false;
|
||||
}
|
||||
else if (response.segmentType === "comment") {
|
||||
res.push(LlamaText([
|
||||
new SpecialTokensText("<|start|>assistant<|channel|>commentary<|message|>"),
|
||||
response.text,
|
||||
(isLastItem && !response.ended)
|
||||
? LlamaText([])
|
||||
: new SpecialTokensText("<|end|>")
|
||||
]));
|
||||
if (isLastItem && isLastResponse && !response.ended)
|
||||
canEnableTriggers = false;
|
||||
}
|
||||
else
|
||||
void response.segmentType;
|
||||
}
|
||||
else if (response.type === "functionCall") {
|
||||
res.push(LlamaText([
|
||||
(response.rawCall != null && useRawValues)
|
||||
? LlamaText.fromJSON(response.rawCall)
|
||||
: this.generateFunctionCall(response.name, response.params),
|
||||
this.generateFunctionCallResult(response.name, response.params, response.result)
|
||||
]));
|
||||
}
|
||||
else
|
||||
void response;
|
||||
}
|
||||
const needsTriggers = canEnableTriggers && isLastItem;
|
||||
if (needsTriggers)
|
||||
res.push(LlamaText([
|
||||
new SpecialTokensText("<|start|>assistant")
|
||||
]));
|
||||
return {
|
||||
res: LlamaText(res),
|
||||
needsTriggers
|
||||
};
|
||||
}
|
||||
/** @internal */
|
||||
_getPreamble(hasFunctions) {
|
||||
const formatCutoff = (date, timezone) => {
|
||||
const month = date.toLocaleDateString("en-US", { month: "numeric", timeZone: timezone }).padStart(2, "0");
|
||||
const year = date.toLocaleDateString("en-US", { year: "numeric", timeZone: timezone }).padStart(4, "0");
|
||||
return `${year}-${month}`;
|
||||
};
|
||||
const lines = [];
|
||||
if (this.modelIdentity != null && this.modelIdentity !== "")
|
||||
lines.push(this.modelIdentity);
|
||||
if (this.cuttingKnowledgeDate != null) {
|
||||
const date = this.cuttingKnowledgeDate instanceof Function
|
||||
? this.cuttingKnowledgeDate()
|
||||
: this.cuttingKnowledgeDate;
|
||||
lines.push(`Knowledge cutoff: ${formatCutoff(date, "UTC")}`);
|
||||
if (this._jinjaFlags.formatting === 1)
|
||||
lines.push([lines.shift(), lines.shift()].filter(Boolean).join(""));
|
||||
}
|
||||
if (this.todayDate != null) {
|
||||
const date = this.todayDate instanceof Function
|
||||
? this.todayDate()
|
||||
: this.todayDate;
|
||||
lines.push(`Current date: ${formatDate(date, undefined)}`);
|
||||
}
|
||||
if (this.reasoningEffort != null) {
|
||||
if (lines.length > 0)
|
||||
lines.push("");
|
||||
if (this._jinjaFlags.formatting === 1)
|
||||
lines.push(`reasoning: ${this.reasoningEffort}`);
|
||||
else
|
||||
lines.push(`Reasoning: ${this.reasoningEffort}`);
|
||||
}
|
||||
if (this.requiredChannels.analysis || this.requiredChannels.commentary || this.requiredChannels.final) {
|
||||
const channels = [
|
||||
...(this.requiredChannels.analysis ? ["analysis"] : []),
|
||||
...(this.requiredChannels.commentary ? ["commentary"] : []),
|
||||
...(this.requiredChannels.final ? ["final"] : [])
|
||||
];
|
||||
if (lines.length > 0)
|
||||
lines.push("");
|
||||
lines.push(`# Valid channels: ${channels.join(", ")}. Channel must be included for every message.`);
|
||||
if ((this.requiredChannels.commentary && hasFunctions) || this._jinjaFlags.formatting === 1)
|
||||
lines.push("Calls to these tools must go to the commentary channel: 'functions'.");
|
||||
}
|
||||
return LlamaText([
|
||||
new SpecialTokensText("<|start|>system<|message|>"),
|
||||
this._jinjaFlags.useSpecialTokensForFullSystemMessage
|
||||
? new SpecialTokensText(lines.join("\n"))
|
||||
: lines.join("\n"),
|
||||
new SpecialTokensText("<|end|>")
|
||||
]);
|
||||
}
|
||||
/** @internal */
|
||||
static _getOptionConfigurationsToTestIfCanSupersedeJinjaTemplate() {
|
||||
const jinjaParameters = {
|
||||
"model_identity": defaultModelIdentity,
|
||||
"reasoning_effort": defaultReasoningEffort
|
||||
};
|
||||
return [
|
||||
[{}, {}],
|
||||
[{ _jinjaFlags: { emptyLastModelResponseIsFinalMessage: true } }, {}],
|
||||
[{}, {}, { additionalRenderParameters: jinjaParameters }],
|
||||
[{ _jinjaFlags: { emptyLastModelResponseIsFinalMessage: true } }, {}, { additionalRenderParameters: jinjaParameters }],
|
||||
[{ _jinjaFlags: { useSpecialTokensForFullSystemMessage: true } }, {}, { additionalRenderParameters: jinjaParameters }],
|
||||
[
|
||||
{ _jinjaFlags: { emptyLastModelResponseIsFinalMessage: true, useSpecialTokensForFullSystemMessage: true } },
|
||||
{},
|
||||
{ additionalRenderParameters: jinjaParameters }
|
||||
],
|
||||
[
|
||||
{
|
||||
_jinjaFlags: {
|
||||
emptyLastModelResponseIsFinalMessage: true,
|
||||
useSpecialTokensForFullSystemMessage: true,
|
||||
disableNonFinalFinalMessages: true
|
||||
}
|
||||
},
|
||||
{},
|
||||
{ additionalRenderParameters: jinjaParameters }
|
||||
],
|
||||
[
|
||||
{
|
||||
_jinjaFlags: {
|
||||
emptyLastModelResponseIsFinalMessage: true,
|
||||
useSpecialTokensForFullSystemMessage: true,
|
||||
disableNonFinalFinalMessages: true,
|
||||
useNonFinalFinalMessage: true
|
||||
}
|
||||
},
|
||||
{},
|
||||
{ additionalRenderParameters: jinjaParameters }
|
||||
],
|
||||
[
|
||||
{
|
||||
_jinjaFlags: {
|
||||
emptyLastModelResponseIsFinalMessage: true,
|
||||
useSpecialTokensForFullSystemMessage: true,
|
||||
useNonFinalFinalMessage: true
|
||||
}
|
||||
},
|
||||
{},
|
||||
{ additionalRenderParameters: jinjaParameters }
|
||||
],
|
||||
[
|
||||
{
|
||||
_jinjaFlags: {
|
||||
emptyLastModelResponseIsFinalMessage: true,
|
||||
useSpecialTokensForFullSystemMessage: true,
|
||||
useNonFinalFinalMessage: true,
|
||||
noFinalMessages: true
|
||||
}
|
||||
},
|
||||
{},
|
||||
{ additionalRenderParameters: jinjaParameters }
|
||||
],
|
||||
[
|
||||
{
|
||||
_jinjaFlags: {
|
||||
emptyLastModelResponseIsFinalMessage: true,
|
||||
useSpecialTokensForFullSystemMessage: true,
|
||||
useNonFinalFinalMessage: false,
|
||||
noFinalMessages: false
|
||||
}
|
||||
},
|
||||
{},
|
||||
{ additionalRenderParameters: jinjaParameters }
|
||||
],
|
||||
[
|
||||
{
|
||||
_jinjaFlags: {
|
||||
emptyLastModelResponseIsFinalMessage: true,
|
||||
useSpecialTokensForFullSystemMessage: true,
|
||||
useNonFinalFinalMessage: true,
|
||||
noFinalMessages: true,
|
||||
formatting: 1
|
||||
}
|
||||
},
|
||||
{},
|
||||
{ additionalRenderParameters: jinjaParameters }
|
||||
],
|
||||
[{ todayDate: null }, {}, {}],
|
||||
[{ cuttingKnowledgeDate: null }, {}, {}],
|
||||
[{ reasoningEffort: null }, {}, {}],
|
||||
[{ todayDate: null, cuttingKnowledgeDate: null }, {}, {}],
|
||||
[{ todayDate: null, cuttingKnowledgeDate: null, reasoningEffort: null }, {}, {}]
|
||||
];
|
||||
}
|
||||
}
|
||||
function formatDate(date, timezone) {
|
||||
const day = date.toLocaleDateString("en-US", { day: "numeric", timeZone: timezone }).padStart(2, "0");
|
||||
const month = date.toLocaleDateString("en-US", { month: "numeric", timeZone: timezone }).padStart(2, "0");
|
||||
const year = date.toLocaleDateString("en-US", { year: "numeric", timeZone: timezone }).padStart(4, "0");
|
||||
return `${year}-${month}-${day}`;
|
||||
}
|
||||
//# sourceMappingURL=HarmonyChatWrapper.js.map
|
||||
Reference in New Issue
Block a user