Removed redundant llama protocol (Use openai)
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@@ -1,6 +1,6 @@
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{
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"name": "@ztimson/ai-utils",
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"version": "1.1.0",
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"version": "1.2.0",
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"description": "AI Utility library",
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"author": "Zak Timson",
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"license": "MIT",
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@@ -1,5 +1,5 @@
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import * as os from 'node:os';
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import LLM, {AnthropicConfig, OllamaConfig, OpenAiConfig, LLMRequest} from './llm';
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import LLM, {AnthropicConfig, OpenAiConfig, LLMRequest} from './llm';
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import { Audio } from './audio.ts';
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import {Vision} from './vision.ts';
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@@ -18,7 +18,7 @@ export type AiOptions = {
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embedder?: string;
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/** Large language models, first is default */
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llm?: Omit<LLMRequest, 'model'> & {
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models: {[model: string]: AnthropicConfig | OllamaConfig | OpenAiConfig};
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models: {[model: string]: AnthropicConfig | OpenAiConfig};
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}
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/** OCR model: eng, eng_best, eng_fast */
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ocr?: string;
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@@ -9,7 +9,6 @@ import {spawn} from 'node:child_process';
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import {Memory, MemoryManager} from './memory.ts';
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export type AnthropicConfig = {proto: 'anthropic', token: string};
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export type OllamaConfig = {proto: 'llama', host: string};
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export type OpenAiConfig = {proto: 'openai', host?: string, token: string};
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export type LLMMessage = {
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@@ -95,7 +94,6 @@ class LLM {
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Object.entries(ai.options.llm.models).forEach(([model, config]) => {
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if(!this.defaultModel) this.defaultModel = model;
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if(config.proto == 'anthropic') this.models[model] = new Anthropic(this.ai, config.token, model);
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else if(config.proto == 'llama') this.models[model] = new OpenAi(this.ai, config.host, 'ignored', model, true);
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else if(config.proto == 'openai') this.models[model] = new OpenAi(this.ai, config.host || null, config.token, model);
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});
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this.memoryManager = new MemoryManager(this);
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@@ -429,9 +427,8 @@ ${relevant[0].content}
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});
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}
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addModel(name: string, config: AnthropicConfig | OllamaConfig | OpenAiConfig, setDefault = false) {
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addModel(name: string, config: AnthropicConfig | OpenAiConfig, setDefault = false) {
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if(config.proto == 'anthropic') this.models[name] = new Anthropic(this.ai, config.token, name);
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else if(config.proto == 'llama') this.models[name] = new OpenAi(this.ai, config.host, 'not-needed', name, true);
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else if(config.proto == 'openai') this.models[name] = new OpenAi(this.ai, config.host || null, config.token, name);
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if(setDefault || !this.defaultModel) this.defaultModel = name;
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}
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@@ -443,12 +440,11 @@ ${relevant[0].content}
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}
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}
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setModels(models: {[model: string]: AnthropicConfig | OllamaConfig | OpenAiConfig}, replace = true) {
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setModels(models: {[model: string]: AnthropicConfig | OpenAiConfig}, replace = true) {
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if(replace) this.models = {};
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Object.entries(models).forEach(([model, config]) => {
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if(!this.defaultModel) this.defaultModel = model;
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if(config.proto == 'anthropic') this.models[model] = new Anthropic(this.ai, config.token, model);
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else if(config.proto == 'llama') this.models[model] = new OpenAi(this.ai, config.host, 'not-needed', model, true);
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else if(config.proto == 'openai') this.models[model] = new OpenAi(this.ai, config.host || null, config.token, model);
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});
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this.defaultModel = Object.keys(this.models)[0] ?? '';
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@@ -8,7 +8,7 @@ import {convertSchema} from './tools.ts';
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export class OpenAi extends LLMProvider {
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client!: openAI;
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constructor(public readonly ai: Ai, public readonly host: string | null, public readonly token: string, public model: string, public llama?: boolean) {
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constructor(public readonly ai: Ai, public readonly host: string | null, public readonly token: string, public model: string) {
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super();
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this.client = new openAI(clean({
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baseURL: host,
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@@ -96,13 +96,6 @@ export class OpenAi extends LLMProvider {
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if(options.schema) {
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const schema = convertSchema(options.schema);
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if(this.llama) {
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delete requestParams.tools;
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requestParams.response_format = {
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type: 'json_schema',
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json_schema: {name: 'json', schema}
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}
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} else {
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requestParams.response_format = {
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type: 'json_schema',
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json_schema: {
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@@ -112,7 +105,6 @@ export class OpenAi extends LLMProvider {
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}
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};
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}
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}
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let resp: any, isFirstMessage = true;
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do {
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