1186 lines
80 KiB
HTML
1186 lines
80 KiB
HTML
|
||
<!doctype html>
|
||
<html lang="en" class="no-js">
|
||
<head>
|
||
|
||
<meta charset="utf-8">
|
||
<meta name="viewport" content="width=device-width,initial-scale=1">
|
||
|
||
|
||
|
||
<link rel="canonical" href="https://IvanTytar.github.io/microdao-daarion/cursor/11_llm_integration/">
|
||
|
||
|
||
|
||
|
||
<link rel="icon" href="../../assets/images/favicon.png">
|
||
<meta name="generator" content="mkdocs-1.5.3, mkdocs-material-9.5.18">
|
||
|
||
|
||
|
||
<title>11 — LLM Integration Guide (MicroDAO) - DAARION Documentation</title>
|
||
|
||
|
||
|
||
<link rel="stylesheet" href="../../assets/stylesheets/main.66ac8b77.min.css">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback">
|
||
<style>:root{--md-text-font:"Roboto";--md-code-font:"Roboto Mono"}</style>
|
||
|
||
|
||
|
||
<script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce((e,_)=>(e<<5)-e+_.charCodeAt(0),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
</head>
|
||
|
||
|
||
<body dir="ltr">
|
||
|
||
|
||
<input class="md-toggle" data-md-toggle="drawer" type="checkbox" id="__drawer" autocomplete="off">
|
||
<input class="md-toggle" data-md-toggle="search" type="checkbox" id="__search" autocomplete="off">
|
||
<label class="md-overlay" for="__drawer"></label>
|
||
<div data-md-component="skip">
|
||
|
||
|
||
<a href="#11-llm-integration-guide-microdao" class="md-skip">
|
||
Skip to content
|
||
</a>
|
||
|
||
</div>
|
||
<div data-md-component="announce">
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<header class="md-header md-header--shadow" data-md-component="header">
|
||
<nav class="md-header__inner md-grid" aria-label="Header">
|
||
<a href="../.." title="DAARION Documentation" class="md-header__button md-logo" aria-label="DAARION Documentation" data-md-component="logo">
|
||
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3 3 3 0 0 0 3 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54Z"/></svg>
|
||
|
||
</a>
|
||
<label class="md-header__button md-icon" for="__drawer">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M3 6h18v2H3V6m0 5h18v2H3v-2m0 5h18v2H3v-2Z"/></svg>
|
||
</label>
|
||
<div class="md-header__title" data-md-component="header-title">
|
||
<div class="md-header__ellipsis">
|
||
<div class="md-header__topic">
|
||
<span class="md-ellipsis">
|
||
DAARION Documentation
|
||
</span>
|
||
</div>
|
||
<div class="md-header__topic" data-md-component="header-topic">
|
||
<span class="md-ellipsis">
|
||
|
||
11 — LLM Integration Guide (MicroDAO)
|
||
|
||
</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
<script>var media,input,key,value,palette=__md_get("__palette");if(palette&&palette.color){"(prefers-color-scheme)"===palette.color.media&&(media=matchMedia("(prefers-color-scheme: light)"),input=document.querySelector(media.matches?"[data-md-color-media='(prefers-color-scheme: light)']":"[data-md-color-media='(prefers-color-scheme: dark)']"),palette.color.media=input.getAttribute("data-md-color-media"),palette.color.scheme=input.getAttribute("data-md-color-scheme"),palette.color.primary=input.getAttribute("data-md-color-primary"),palette.color.accent=input.getAttribute("data-md-color-accent"));for([key,value]of Object.entries(palette.color))document.body.setAttribute("data-md-color-"+key,value)}</script>
|
||
|
||
|
||
|
||
<label class="md-header__button md-icon" for="__search">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
|
||
</label>
|
||
<div class="md-search" data-md-component="search" role="dialog">
|
||
<label class="md-search__overlay" for="__search"></label>
|
||
<div class="md-search__inner" role="search">
|
||
<form class="md-search__form" name="search">
|
||
<input type="text" class="md-search__input" name="query" aria-label="Search" placeholder="Search" autocapitalize="off" autocorrect="off" autocomplete="off" spellcheck="false" data-md-component="search-query" required>
|
||
<label class="md-search__icon md-icon" for="__search">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5Z"/></svg>
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12Z"/></svg>
|
||
</label>
|
||
<nav class="md-search__options" aria-label="Search">
|
||
|
||
<button type="reset" class="md-search__icon md-icon" title="Clear" aria-label="Clear" tabindex="-1">
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M19 6.41 17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41Z"/></svg>
|
||
</button>
|
||
</nav>
|
||
|
||
</form>
|
||
<div class="md-search__output">
|
||
<div class="md-search__scrollwrap" data-md-scrollfix>
|
||
<div class="md-search-result" data-md-component="search-result">
|
||
<div class="md-search-result__meta">
|
||
Initializing search
|
||
</div>
|
||
<ol class="md-search-result__list" role="presentation"></ol>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
</nav>
|
||
|
||
</header>
|
||
|
||
<div class="md-container" data-md-component="container">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<main class="md-main" data-md-component="main">
|
||
<div class="md-main__inner md-grid">
|
||
|
||
|
||
|
||
<div class="md-sidebar md-sidebar--primary" data-md-component="sidebar" data-md-type="navigation" >
|
||
<div class="md-sidebar__scrollwrap">
|
||
<div class="md-sidebar__inner">
|
||
|
||
|
||
|
||
|
||
<nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
|
||
<label class="md-nav__title" for="__drawer">
|
||
<a href="../.." title="DAARION Documentation" class="md-nav__button md-logo" aria-label="DAARION Documentation" data-md-component="logo">
|
||
|
||
|
||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3 3 3 0 0 0 3 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54Z"/></svg>
|
||
|
||
</a>
|
||
DAARION Documentation
|
||
</label>
|
||
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../public/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Home
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../public/getting-started/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Getting Started
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../public/architecture-overview/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Architecture
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../public/daiS_daos_overview/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
DAIS & DAOS
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--section md-nav__item--nested">
|
||
|
||
|
||
|
||
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5" >
|
||
|
||
|
||
<label class="md-nav__link" for="__nav_5" id="__nav_5_label" tabindex="">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Internal
|
||
</span>
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
||
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_5_label" aria-expanded="false">
|
||
<label class="md-nav__title" for="__nav_5">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
Internal
|
||
</label>
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--nested">
|
||
|
||
|
||
|
||
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_1" >
|
||
|
||
|
||
<label class="md-nav__link" for="__nav_5_1" id="__nav_5_1_label" tabindex="0">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Infra
|
||
</span>
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
||
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_1_label" aria-expanded="false">
|
||
<label class="md-nav__title" for="__nav_5_1">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
Infra
|
||
</label>
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../internal/infra/INFRA_AUTOMATION_PACK_V1/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Infra Automation Pack v1
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../internal/infra/monitoring_overview/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Monitoring Overview
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../internal/infra/nodes_registry_v0/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Nodes Registry v0
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item md-nav__item--nested">
|
||
|
||
|
||
|
||
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_2" >
|
||
|
||
|
||
<label class="md-nav__link" for="__nav_5_2" id="__nav_5_2_label" tabindex="0">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Specs
|
||
</span>
|
||
|
||
|
||
<span class="md-nav__icon md-icon"></span>
|
||
</label>
|
||
|
||
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_2_label" aria-expanded="false">
|
||
<label class="md-nav__title" for="__nav_5_2">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
Specs
|
||
</label>
|
||
<ul class="md-nav__list" data-md-scrollfix>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../internal/specs/matrix_presence_aggregator/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Matrix Presence Aggregator
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../internal/specs/city_map_spec/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
City Map Spec
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<li class="md-nav__item">
|
||
<a href="../../internal/specs/node_join_protocol_draft/" class="md-nav__link">
|
||
|
||
|
||
<span class="md-ellipsis">
|
||
Node Join Protocol (Draft)
|
||
</span>
|
||
|
||
|
||
</a>
|
||
</li>
|
||
|
||
|
||
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
|
||
|
||
|
||
</ul>
|
||
</nav>
|
||
|
||
</li>
|
||
|
||
|
||
|
||
</ul>
|
||
</nav>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" >
|
||
<div class="md-sidebar__scrollwrap">
|
||
<div class="md-sidebar__inner">
|
||
|
||
|
||
<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
</nav>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="md-content" data-md-component="content">
|
||
<article class="md-content__inner md-typeset">
|
||
|
||
|
||
|
||
|
||
<h1 id="11-llm-integration-guide-microdao">11 — LLM Integration Guide (MicroDAO)<a class="headerlink" href="#11-llm-integration-guide-microdao" title="Permanent link">¶</a></h1>
|
||
<p>Інтеграція ChatGPT / OpenAI / інших моделей у агентську систему MicroDAO</p>
|
||
<p>Цей документ описує:</p>
|
||
<ul>
|
||
<li>
|
||
<p>де і як підключити LLM,</p>
|
||
</li>
|
||
<li>
|
||
<p>як організувати backend-виклики,</p>
|
||
</li>
|
||
<li>
|
||
<p>як звʼязати агента з моделлю,</p>
|
||
</li>
|
||
<li>
|
||
<p>як працює agent-first онбординг,</p>
|
||
</li>
|
||
<li>
|
||
<p>як працює агентський чат,</p>
|
||
</li>
|
||
<li>
|
||
<p>як працює еволюційна модель на основі LLM.</p>
|
||
</li>
|
||
</ul>
|
||
<p>Документ орієнтований на Cursor + Node/TS backend.</p>
|
||
<hr />
|
||
<h1 id="1">1. Принцип інтеграції<a class="headerlink" href="#1" title="Permanent link">¶</a></h1>
|
||
<p>Усі виклики до LLM здійснюються <strong>на бекенді</strong>, не з фронтенду.</p>
|
||
<p>Причини:</p>
|
||
<ul>
|
||
<li>
|
||
<p>безпека (ключ не світиться),</p>
|
||
</li>
|
||
<li>
|
||
<p>стабільність,</p>
|
||
</li>
|
||
<li>
|
||
<p>контроль ціни,</p>
|
||
</li>
|
||
<li>
|
||
<p>можливість додавати кэшинг, rate-limits,</p>
|
||
</li>
|
||
<li>
|
||
<p>можливість підміняти провайдерів (OpenAI → Anthropic → локальні моделі).</p>
|
||
</li>
|
||
</ul>
|
||
<hr />
|
||
<h1 id="2">2. Високорівнева архітектура<a class="headerlink" href="#2" title="Permanent link">¶</a></h1>
|
||
<div class="codehilite"><pre><span></span><code>Frontend (React SPA)
|
||
|
|
||
| POST /agents/{id}/chat
|
||
↓
|
||
Backend
|
||
├── agentsController.ts
|
||
├── llm/
|
||
│ ├── openaiClient.ts
|
||
│ ├── modelRouter.ts
|
||
│ └── prompts/
|
||
│ ├── system_agent.txt
|
||
│ └── system_onboarding.txt
|
||
|
|
||
↓
|
||
OpenAI API (або інша модель)
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="3-llm">3. Структура директорій для LLM<a class="headerlink" href="#3-llm" title="Permanent link">¶</a></h1>
|
||
<p>Додайте на бекенд:</p>
|
||
<div class="codehilite"><pre><span></span><code>src/
|
||
llm/
|
||
openaiClient.ts
|
||
modelRouter.ts
|
||
prompts/
|
||
system_agent.txt
|
||
system_onboarding.txt
|
||
system_evolution.txt
|
||
</code></pre></div>
|
||
|
||
<ul>
|
||
<li>
|
||
<p><code>openaiClient.ts</code> — клієнт OpenAI / GPT.</p>
|
||
</li>
|
||
<li>
|
||
<p><code>modelRouter.ts</code> — місце, де ти можеш вирішити, яку модель використовувати (gpt-4.1-mini, o3, claude тощо).</p>
|
||
</li>
|
||
<li>
|
||
<p><code>prompts/*.txt</code> — системні промпти для:</p>
|
||
</li>
|
||
<li>
|
||
<p>Agent Chat</p>
|
||
</li>
|
||
<li>
|
||
<p>Onboarding Guide Agent</p>
|
||
</li>
|
||
<li>
|
||
<p>Evolution Meta-Agent</p>
|
||
</li>
|
||
</ul>
|
||
<hr />
|
||
<h1 id="4-openai">4. Реалізація базового клієнта OpenAI<a class="headerlink" href="#4-openai" title="Permanent link">¶</a></h1>
|
||
<p><strong>Файл: <code>src/llm/openaiClient.ts</code></strong></p>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">import</span><span class="w"> </span><span class="nx">OpenAI</span><span class="w"> </span><span class="kr">from</span><span class="w"> </span><span class="s2">"openai"</span><span class="p">;</span>
|
||
|
||
<span class="k">export</span><span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">openai</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="ow">new</span><span class="w"> </span><span class="nx">OpenAI</span><span class="p">({</span>
|
||
<span class="w"> </span><span class="nx">apiKey</span><span class="o">:</span><span class="w"> </span><span class="kt">process.env.OPENAI_API_KEY</span><span class="o">!</span><span class="p">,</span>
|
||
<span class="p">});</span>
|
||
|
||
<span class="k">export</span><span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">(</span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">[],</span><span class="w"> </span><span class="nx">model</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"gpt-4.1-mini"</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">res</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">openai</span><span class="p">.</span><span class="nx">chat</span><span class="p">.</span><span class="nx">completions</span><span class="p">.</span><span class="nx">create</span><span class="p">({</span>
|
||
<span class="w"> </span><span class="nx">model</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">messages</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">temperature</span><span class="o">:</span><span class="w"> </span><span class="kt">0.2</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="p">});</span>
|
||
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nx">res</span><span class="p">.</span><span class="nx">choices</span><span class="p">[</span><span class="mf">0</span><span class="p">]</span><span class="o">?</span><span class="p">.</span><span class="nx">message</span><span class="o">?</span><span class="p">.</span><span class="nx">content</span><span class="w"> </span><span class="o">??</span><span class="w"> </span><span class="s2">""</span><span class="p">;</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="5-model-router">5. Model Router<a class="headerlink" href="#5-model-router" title="Permanent link">¶</a></h1>
|
||
<p><strong>Файл: <code>src/llm/modelRouter.ts</code></strong></p>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">export</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">pickModel</span><span class="p">(</span><span class="nx">agentProfile</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">switch</span><span class="w"> </span><span class="p">(</span><span class="nx">agentProfile</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">case</span><span class="w"> </span><span class="s2">"technical"</span><span class="o">:</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="s2">"gpt-4.1"</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="k">case</span><span class="w"> </span><span class="s2">"business"</span><span class="o">:</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="s2">"gpt-4.1-mini"</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="k">case</span><span class="w"> </span><span class="s2">"creative"</span><span class="o">:</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="s2">"gpt-4o-mini"</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">default</span><span class="o">:</span>
|
||
<span class="w"> </span><span class="kt">return</span><span class="w"> </span><span class="s2">"gpt-4.1-mini"</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<p>У майбутньому це місце для:</p>
|
||
<ul>
|
||
<li>локальних моделей (Ollama, vLLM),</li>
|
||
<li>кластеру DAGI,</li>
|
||
<li>автоматичного підбору моделі.</li>
|
||
</ul>
|
||
<hr />
|
||
<h1 id="6-llm">6. Запит до LLM для агентського чату<a class="headerlink" href="#6-llm" title="Permanent link">¶</a></h1>
|
||
<p><strong>Файл: <code>src/controllers/agentsController.ts</code></strong></p>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">import</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">callLLM</span><span class="w"> </span><span class="p">}</span><span class="w"> </span><span class="kr">from</span><span class="w"> </span><span class="s2">"../llm/openaiClient"</span><span class="p">;</span>
|
||
<span class="k">import</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">pickModel</span><span class="w"> </span><span class="p">}</span><span class="w"> </span><span class="kr">from</span><span class="w"> </span><span class="s2">"../llm/modelRouter"</span><span class="p">;</span>
|
||
<span class="k">import</span><span class="w"> </span><span class="nx">systemAgent</span><span class="w"> </span><span class="kr">from</span><span class="w"> </span><span class="s2">"../llm/prompts/system_agent.txt"</span><span class="p">;</span>
|
||
|
||
<span class="k">export</span><span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">chatWithAgent</span><span class="p">(</span><span class="nx">req</span><span class="p">,</span><span class="w"> </span><span class="nx">res</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">agentId</span><span class="w"> </span><span class="p">}</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nx">req</span><span class="p">.</span><span class="nx">params</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">messages</span><span class="w"> </span><span class="p">}</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nx">req</span><span class="p">.</span><span class="nx">body</span><span class="p">;</span>
|
||
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">agent</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">db</span><span class="p">.</span><span class="nx">agent</span><span class="p">.</span><span class="nx">find</span><span class="p">(</span><span class="nx">agentId</span><span class="p">);</span>
|
||
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">model</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nx">pickModel</span><span class="p">(</span><span class="nx">agent</span><span class="p">.</span><span class="nx">role</span><span class="p">);</span>
|
||
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">llmMessages</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">[</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"system"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">systemAgent</span><span class="w"> </span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">...</span><span class="nx">messages</span>
|
||
<span class="w"> </span><span class="p">];</span>
|
||
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">reply</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">(</span><span class="nx">llmMessages</span><span class="p">,</span><span class="w"> </span><span class="nx">model</span><span class="p">);</span>
|
||
|
||
<span class="w"> </span><span class="c1">// зберегти останнє повідомлення як agent message</span>
|
||
<span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">db</span><span class="p">.</span><span class="nx">agentMessages</span><span class="p">.</span><span class="nx">insert</span><span class="p">({</span>
|
||
<span class="w"> </span><span class="nx">agent_id</span><span class="o">:</span><span class="w"> </span><span class="kt">agentId</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"assistant"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">body</span><span class="o">:</span><span class="w"> </span><span class="kt">reply</span>
|
||
<span class="w"> </span><span class="p">});</span>
|
||
|
||
<span class="w"> </span><span class="nx">res</span><span class="p">.</span><span class="nx">json</span><span class="p">({</span><span class="w"> </span><span class="nx">reply</span><span class="w"> </span><span class="p">});</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="7-agent-chat">7. Інтеграція з Agent Chat у фронтенді<a class="headerlink" href="#7-agent-chat" title="Permanent link">¶</a></h1>
|
||
<p><strong>Файл: <code>api/agents.ts</code></strong></p>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">export</span><span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">agentChat</span><span class="p">(</span><span class="nx">agentId</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">,</span><span class="w"> </span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">ChatMessage</span><span class="p">[])</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nx">api</span><span class="p">.</span><span class="nx">post</span><span class="p">(</span><span class="sb">`/agents/</span><span class="si">${</span><span class="nx">agentId</span><span class="si">}</span><span class="sb">/chat`</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">messages</span><span class="w"> </span><span class="p">});</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<p><strong>У <code>AgentChatWindow.tsx</code>:</strong></p>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">const</span><span class="w"> </span><span class="nx">onSend</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="p">(</span><span class="nx">text</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">)</span><span class="w"> </span><span class="p">=></span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">addMessage</span><span class="p">({</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"user"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">text</span><span class="w"> </span><span class="p">});</span>
|
||
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">response</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">agentChat</span><span class="p">(</span><span class="nx">agentId</span><span class="p">,</span><span class="w"> </span><span class="p">[</span>
|
||
<span class="w"> </span><span class="p">...</span><span class="nx">history</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"user"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">text</span><span class="w"> </span><span class="p">}</span>
|
||
<span class="w"> </span><span class="p">]);</span>
|
||
|
||
<span class="w"> </span><span class="nx">addMessage</span><span class="p">({</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"assistant"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">response.reply</span><span class="w"> </span><span class="p">});</span>
|
||
<span class="p">};</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="8-agent-first-onboarding-integration">8. Agent-First Onboarding Integration<a class="headerlink" href="#8-agent-first-onboarding-integration" title="Permanent link">¶</a></h1>
|
||
<p>Використовує той самий LLM-клієнт, але з іншим системним промптом:</p>
|
||
<p><strong><code>prompts/system_onboarding.txt</code>:</strong></p>
|
||
<div class="codehilite"><pre><span></span><code>You are MicroDAO Guide Agent.
|
||
|
||
Your job is to ask the user questions one-by-one to configure their microDAO.
|
||
|
||
NEVER skip steps. NEVER jump too far.
|
||
|
||
Be friendly, minimalistic and precise.
|
||
</code></pre></div>
|
||
|
||
<p>У онбордингу:</p>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">const</span><span class="w"> </span><span class="nx">reply</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">([</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"system"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">onboardingSystemPrompt</span><span class="w"> </span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">...</span><span class="nx">conversation</span>
|
||
<span class="p">]);</span>
|
||
</code></pre></div>
|
||
|
||
<p>Але state-machine керує реальними діями (API), LLM — тільки текстом.</p>
|
||
<hr />
|
||
<h1 id="9-integration-with-evolutionary-agent-09_evolutionary_agentmd">9. Integration with Evolutionary Agent (09_evolutionary_agent.md)<a class="headerlink" href="#9-integration-with-evolutionary-agent-09_evolutionary_agentmd" title="Permanent link">¶</a></h1>
|
||
<p>Meta-Agent (self-review) використовує <strong>ще один промпт</strong>:</p>
|
||
<p><code>prompts/system_evolution.txt</code>:</p>
|
||
<div class="codehilite"><pre><span></span><code><span class="nx">You</span><span class="w"> </span><span class="nx">are</span><span class="w"> </span><span class="nx">Meta</span><span class="o">-</span><span class="nx">Agent</span><span class="w"> </span><span class="nx">responsible</span><span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="nx">analyzing</span><span class="w"> </span><span class="nx">logs</span><span class="w"> </span><span class="nx">of</span><span class="w"> </span><span class="nx">conversations</span><span class="p">.</span>
|
||
|
||
<span class="nx">Find</span><span class="w"> </span><span class="nx">mistakes</span><span class="p">,</span><span class="w"> </span><span class="nx">weak</span><span class="w"> </span><span class="nx">answers</span><span class="p">,</span><span class="w"> </span><span class="nx">missing</span><span class="w"> </span><span class="nx">rules</span><span class="p">,</span><span class="w"> </span><span class="k">and</span><span class="w"> </span><span class="nx">propose</span><span class="w"> </span><span class="nx">improvements</span><span class="p">.</span>
|
||
|
||
<span class="nx">Always</span><span class="w"> </span><span class="nx">output</span><span class="w"> </span><span class="nx">JSON</span><span class="w"> </span><span class="nx">with</span><span class="w"> </span><span class="err">`</span><span class="p">[</span><span class="s">"type"</span><span class="p">,</span><span class="w"> </span><span class="s">"value"</span><span class="p">,</span><span class="w"> </span><span class="s">"explanation"</span><span class="p">]</span><span class="err">`</span><span class="p">.</span>
|
||
</code></pre></div>
|
||
|
||
<p>Self-review:</p>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">const</span><span class="w"> </span><span class="nx">improvements</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">([</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"system"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">evolutionPrompt</span><span class="w"> </span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"user"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">JSON.stringify</span><span class="p">(</span><span class="nx">conversationLog</span><span class="p">)</span><span class="w"> </span><span class="p">}</span>
|
||
<span class="p">]);</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="10-llm">10. Як передавати пам'ять агента в LLM<a class="headerlink" href="#10-llm" title="Permanent link">¶</a></h1>
|
||
<p>У LLM-запит можна додати:</p>
|
||
<ul>
|
||
<li>
|
||
<p><code>short-term memory</code> (останні X повідомлень)</p>
|
||
</li>
|
||
<li>
|
||
<p><code>long-term memory</code> (витяг з Co-Memory)</p>
|
||
</li>
|
||
<li>
|
||
<p><code>agent profile</code></p>
|
||
</li>
|
||
<li>
|
||
<p>інструкції агента (структура з DB)</p>
|
||
</li>
|
||
</ul>
|
||
<p>Приклад у messages:</p>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">const</span><span class="w"> </span><span class="nx">llmMessages</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">[</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"system"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">systemPrompt</span><span class="w"> </span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"assistant"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="s2">"AGENT_PROFILE:"</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="nb">JSON</span><span class="p">.</span><span class="nx">stringify</span><span class="p">(</span><span class="nx">agentProfile</span><span class="p">)</span><span class="w"> </span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"assistant"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="s2">"MEMORY:"</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="nb">JSON</span><span class="p">.</span><span class="nx">stringify</span><span class="p">(</span><span class="nx">memories</span><span class="p">)</span><span class="w"> </span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">...</span><span class="nx">history</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"user"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">question</span><span class="w"> </span><span class="p">}</span>
|
||
<span class="p">];</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="11">11. Безпека<a class="headerlink" href="#11" title="Permanent link">¶</a></h1>
|
||
<ul>
|
||
<li>
|
||
<p>API key зберігати у <code>.env</code> на сервері.</p>
|
||
</li>
|
||
<li>
|
||
<p>Ніколи не відправляти ключ у фронтенд.</p>
|
||
</li>
|
||
<li>
|
||
<p>Додавати rate limit.</p>
|
||
</li>
|
||
<li>
|
||
<p>Додавати аудит використання агента.</p>
|
||
</li>
|
||
</ul>
|
||
<hr />
|
||
<h1 id="12">12. Кешування та оптимізація<a class="headerlink" href="#12" title="Permanent link">¶</a></h1>
|
||
<h2 id="121">12.1. Кешування відповідей<a class="headerlink" href="#121" title="Permanent link">¶</a></h2>
|
||
<p>Для однакових запитів можна кешувати відповіді:</p>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">const</span><span class="w"> </span><span class="nx">cacheKey</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nx">hash</span><span class="p">(</span><span class="nx">messages</span><span class="p">);</span>
|
||
<span class="kd">const</span><span class="w"> </span><span class="nx">cached</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">cache</span><span class="p">.</span><span class="nx">get</span><span class="p">(</span><span class="nx">cacheKey</span><span class="p">);</span>
|
||
<span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="nx">cached</span><span class="p">)</span><span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nx">cached</span><span class="p">;</span>
|
||
|
||
<span class="kd">const</span><span class="w"> </span><span class="nx">reply</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">(</span><span class="nx">messages</span><span class="p">);</span>
|
||
<span class="k">await</span><span class="w"> </span><span class="nx">cache</span><span class="p">.</span><span class="nx">set</span><span class="p">(</span><span class="nx">cacheKey</span><span class="p">,</span><span class="w"> </span><span class="nx">reply</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">ttl</span><span class="o">:</span><span class="w"> </span><span class="kt">3600</span><span class="w"> </span><span class="p">});</span>
|
||
<span class="k">return</span><span class="w"> </span><span class="nx">reply</span><span class="p">;</span>
|
||
</code></pre></div>
|
||
|
||
<h2 id="122-streaming">12.2. Streaming відповідей<a class="headerlink" href="#122-streaming" title="Permanent link">¶</a></h2>
|
||
<p>Для кращого UX можна використовувати streaming:</p>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">const</span><span class="w"> </span><span class="nx">stream</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">openai</span><span class="p">.</span><span class="nx">chat</span><span class="p">.</span><span class="nx">completions</span><span class="p">.</span><span class="nx">create</span><span class="p">({</span>
|
||
<span class="w"> </span><span class="nx">model</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">messages</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">stream</span><span class="o">:</span><span class="w"> </span><span class="kt">true</span><span class="p">,</span>
|
||
<span class="p">});</span>
|
||
|
||
<span class="k">for</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="p">(</span><span class="kd">const</span><span class="w"> </span><span class="nx">chunk</span><span class="w"> </span><span class="k">of</span><span class="w"> </span><span class="nx">stream</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">content</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nx">chunk</span><span class="p">.</span><span class="nx">choices</span><span class="p">[</span><span class="mf">0</span><span class="p">]</span><span class="o">?</span><span class="p">.</span><span class="nx">delta</span><span class="o">?</span><span class="p">.</span><span class="nx">content</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="nx">content</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">res</span><span class="p">.</span><span class="nx">write</span><span class="p">(</span><span class="nx">content</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<h2 id="123-rate-limiting">12.3. Rate Limiting<a class="headerlink" href="#123-rate-limiting" title="Permanent link">¶</a></h2>
|
||
<p>Обмеження кількості запитів:</p>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">import</span><span class="w"> </span><span class="nx">rateLimit</span><span class="w"> </span><span class="kr">from</span><span class="w"> </span><span class="s2">"express-rate-limit"</span><span class="p">;</span>
|
||
|
||
<span class="kd">const</span><span class="w"> </span><span class="nx">agentLimiter</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nx">rateLimit</span><span class="p">({</span>
|
||
<span class="w"> </span><span class="nx">windowMs</span><span class="o">:</span><span class="w"> </span><span class="kt">60</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="mf">1000</span><span class="p">,</span><span class="w"> </span><span class="c1">// 1 хвилина</span>
|
||
<span class="w"> </span><span class="nx">max</span><span class="o">:</span><span class="w"> </span><span class="kt">10</span><span class="p">,</span><span class="w"> </span><span class="c1">// 10 запитів на хвилину</span>
|
||
<span class="w"> </span><span class="nx">keyGenerator</span><span class="o">:</span><span class="w"> </span><span class="p">(</span><span class="nx">req</span><span class="p">)</span><span class="w"> </span><span class="p">=></span><span class="w"> </span><span class="nx">req</span><span class="p">.</span><span class="nx">user</span><span class="p">.</span><span class="nx">id</span><span class="p">,</span>
|
||
<span class="p">});</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="13">13. Альтернативні провайдери<a class="headerlink" href="#13" title="Permanent link">¶</a></h1>
|
||
<h2 id="131-anthropic-claude">13.1. Anthropic Claude<a class="headerlink" href="#131-anthropic-claude" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">import</span><span class="w"> </span><span class="nx">Anthropic</span><span class="w"> </span><span class="kr">from</span><span class="w"> </span><span class="s2">"@anthropic-ai/sdk"</span><span class="p">;</span>
|
||
|
||
<span class="kd">const</span><span class="w"> </span><span class="nx">anthropic</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="ow">new</span><span class="w"> </span><span class="nx">Anthropic</span><span class="p">({</span>
|
||
<span class="w"> </span><span class="nx">apiKey</span><span class="o">:</span><span class="w"> </span><span class="kt">process.env.ANTHROPIC_API_KEY</span><span class="o">!</span><span class="p">,</span>
|
||
<span class="p">});</span>
|
||
|
||
<span class="k">export</span><span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">callClaude</span><span class="p">(</span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">[])</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">response</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">anthropic</span><span class="p">.</span><span class="nx">messages</span><span class="p">.</span><span class="nx">create</span><span class="p">({</span>
|
||
<span class="w"> </span><span class="nx">model</span><span class="o">:</span><span class="w"> </span><span class="s2">"claude-3-5-sonnet-20241022"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">max_tokens</span><span class="o">:</span><span class="w"> </span><span class="kt">1024</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">messages</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="p">});</span>
|
||
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nx">response</span><span class="p">.</span><span class="nx">content</span><span class="p">[</span><span class="mf">0</span><span class="p">].</span><span class="nx">text</span><span class="p">;</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<h2 id="132-ollama">13.2. Локальні моделі (Ollama)<a class="headerlink" href="#132-ollama" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">export</span><span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">callOllama</span><span class="p">(</span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">[],</span><span class="w"> </span><span class="nx">model</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"llama2"</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">response</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">fetch</span><span class="p">(</span><span class="s2">"http://localhost:11434/api/chat"</span><span class="p">,</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">method</span><span class="o">:</span><span class="w"> </span><span class="s2">"POST"</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">body</span><span class="o">:</span><span class="w"> </span><span class="kt">JSON.stringify</span><span class="p">({</span>
|
||
<span class="w"> </span><span class="nx">model</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">messages</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="p">}),</span>
|
||
<span class="w"> </span><span class="p">});</span>
|
||
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">data</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">response</span><span class="p">.</span><span class="nx">json</span><span class="p">();</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nx">data</span><span class="p">.</span><span class="nx">message</span><span class="p">.</span><span class="nx">content</span><span class="p">;</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<h2 id="133">13.3. Уніфікований інтерфейс<a class="headerlink" href="#133" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">interface</span><span class="w"> </span><span class="nx">LLMProvider</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">call</span><span class="p">(</span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">[],</span><span class="w"> </span><span class="nx">options?</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">)</span><span class="o">:</span><span class="w"> </span><span class="nb">Promise</span><span class="o"><</span><span class="kt">string</span><span class="o">></span><span class="p">;</span>
|
||
<span class="p">}</span>
|
||
|
||
<span class="kd">class</span><span class="w"> </span><span class="nx">OpenAIProvider</span><span class="w"> </span><span class="k">implements</span><span class="w"> </span><span class="nx">LLMProvider</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="nx">call</span><span class="p">(</span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">[],</span><span class="w"> </span><span class="nx">options?</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">(</span><span class="nx">messages</span><span class="p">,</span><span class="w"> </span><span class="nx">options</span><span class="o">?</span><span class="p">.</span><span class="nx">model</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="p">}</span>
|
||
|
||
<span class="kd">class</span><span class="w"> </span><span class="nx">AnthropicProvider</span><span class="w"> </span><span class="k">implements</span><span class="w"> </span><span class="nx">LLMProvider</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="nx">call</span><span class="p">(</span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">[],</span><span class="w"> </span><span class="nx">options?</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nx">callClaude</span><span class="p">(</span><span class="nx">messages</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="p">}</span>
|
||
|
||
<span class="k">export</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">getLLMProvider</span><span class="p">(</span><span class="nx">provider</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">)</span><span class="o">:</span><span class="w"> </span><span class="nx">LLMProvider</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">switch</span><span class="w"> </span><span class="p">(</span><span class="nx">provider</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">case</span><span class="w"> </span><span class="s2">"openai"</span><span class="o">:</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="ow">new</span><span class="w"> </span><span class="nx">OpenAIProvider</span><span class="p">();</span>
|
||
<span class="w"> </span><span class="k">case</span><span class="w"> </span><span class="s2">"anthropic"</span><span class="o">:</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="ow">new</span><span class="w"> </span><span class="nx">AnthropicProvider</span><span class="p">();</span>
|
||
<span class="w"> </span><span class="k">case</span><span class="w"> </span><span class="s2">"ollama"</span><span class="o">:</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="ow">new</span><span class="w"> </span><span class="nx">OllamaProvider</span><span class="p">();</span>
|
||
<span class="w"> </span><span class="nx">default</span><span class="o">:</span>
|
||
<span class="w"> </span><span class="kt">return</span><span class="w"> </span><span class="ow">new</span><span class="w"> </span><span class="nx">OpenAIProvider</span><span class="p">();</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="14">14. Обробка помилок<a class="headerlink" href="#14" title="Permanent link">¶</a></h1>
|
||
<h2 id="141-retry-logic">14.1. Retry Logic<a class="headerlink" href="#141-retry-logic" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">async</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">callLLMWithRetry</span><span class="p">(</span>
|
||
<span class="w"> </span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">[],</span>
|
||
<span class="w"> </span><span class="nx">model</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">maxRetries</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mf">3</span>
|
||
<span class="p">)</span><span class="o">:</span><span class="w"> </span><span class="nb">Promise</span><span class="o"><</span><span class="kt">string</span><span class="o">></span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="kd">let</span><span class="w"> </span><span class="nx">i</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mf">0</span><span class="p">;</span><span class="w"> </span><span class="nx">i</span><span class="w"> </span><span class="o"><</span><span class="w"> </span><span class="nx">maxRetries</span><span class="p">;</span><span class="w"> </span><span class="nx">i</span><span class="o">++</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">try</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">(</span><span class="nx">messages</span><span class="p">,</span><span class="w"> </span><span class="nx">model</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="p">}</span><span class="w"> </span><span class="k">catch</span><span class="w"> </span><span class="p">(</span><span class="nx">error</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="nx">i</span><span class="w"> </span><span class="o">===</span><span class="w"> </span><span class="nx">maxRetries</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="mf">1</span><span class="p">)</span><span class="w"> </span><span class="k">throw</span><span class="w"> </span><span class="nx">error</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">sleep</span><span class="p">(</span><span class="mf">1000</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="p">(</span><span class="nx">i</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mf">1</span><span class="p">));</span><span class="w"> </span><span class="c1">// exponential backoff</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="w"> </span><span class="k">throw</span><span class="w"> </span><span class="ow">new</span><span class="w"> </span><span class="ne">Error</span><span class="p">(</span><span class="s2">"LLM call failed after retries"</span><span class="p">);</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<h2 id="142-fallback">14.2. Fallback моделі<a class="headerlink" href="#142-fallback" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">async</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">callLLMWithFallback</span><span class="p">(</span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">[],</span><span class="w"> </span><span class="nx">primaryModel</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">try</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">(</span><span class="nx">messages</span><span class="p">,</span><span class="w"> </span><span class="nx">primaryModel</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="p">}</span><span class="w"> </span><span class="k">catch</span><span class="w"> </span><span class="p">(</span><span class="nx">error</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">console</span><span class="p">.</span><span class="nx">warn</span><span class="p">(</span><span class="sb">`Primary model failed, using fallback`</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">(</span><span class="nx">messages</span><span class="p">,</span><span class="w"> </span><span class="s2">"gpt-3.5-turbo"</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="15">15. Моніторинг та логування<a class="headerlink" href="#15" title="Permanent link">¶</a></h1>
|
||
<h2 id="151">15.1. Логування викликів<a class="headerlink" href="#151" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="k">async</span><span class="w"> </span><span class="kd">function</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">(</span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">any</span><span class="p">[],</span><span class="w"> </span><span class="nx">model</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">startTime</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nb">Date</span><span class="p">.</span><span class="nx">now</span><span class="p">();</span>
|
||
|
||
<span class="w"> </span><span class="k">try</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">reply</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">openai</span><span class="p">.</span><span class="nx">chat</span><span class="p">.</span><span class="nx">completions</span><span class="p">.</span><span class="nx">create</span><span class="p">({</span>
|
||
<span class="w"> </span><span class="nx">model</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">messages</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">temperature</span><span class="o">:</span><span class="w"> </span><span class="kt">0.2</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="p">});</span>
|
||
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">duration</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nb">Date</span><span class="p">.</span><span class="nx">now</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="nx">startTime</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">tokens</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nx">reply</span><span class="p">.</span><span class="nx">usage</span><span class="o">?</span><span class="p">.</span><span class="nx">total_tokens</span><span class="w"> </span><span class="o">||</span><span class="w"> </span><span class="mf">0</span><span class="p">;</span>
|
||
|
||
<span class="w"> </span><span class="nx">logger</span><span class="p">.</span><span class="nx">info</span><span class="p">(</span><span class="s2">"LLM call"</span><span class="p">,</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">model</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">duration</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">tokens</span><span class="p">,</span>
|
||
<span class="w"> </span><span class="nx">cost</span><span class="o">:</span><span class="w"> </span><span class="kt">calculateCost</span><span class="p">(</span><span class="nx">model</span><span class="p">,</span><span class="w"> </span><span class="nx">tokens</span><span class="p">),</span>
|
||
<span class="w"> </span><span class="p">});</span>
|
||
|
||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="nx">reply</span><span class="p">.</span><span class="nx">choices</span><span class="p">[</span><span class="mf">0</span><span class="p">]</span><span class="o">?</span><span class="p">.</span><span class="nx">message</span><span class="o">?</span><span class="p">.</span><span class="nx">content</span><span class="w"> </span><span class="o">??</span><span class="w"> </span><span class="s2">""</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="p">}</span><span class="w"> </span><span class="k">catch</span><span class="w"> </span><span class="p">(</span><span class="nx">error</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">logger</span><span class="p">.</span><span class="nx">error</span><span class="p">(</span><span class="s2">"LLM call failed"</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">model</span><span class="p">,</span><span class="w"> </span><span class="nx">error</span><span class="w"> </span><span class="p">});</span>
|
||
<span class="w"> </span><span class="k">throw</span><span class="w"> </span><span class="nx">error</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="p">}</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<h2 id="152">15.2. Метрики<a class="headerlink" href="#152" title="Permanent link">¶</a></h2>
|
||
<p>Відстежувати:</p>
|
||
<ul>
|
||
<li>кількість викликів на агента</li>
|
||
<li>середній час відповіді</li>
|
||
<li>витрати на токени</li>
|
||
<li>частота помилок</li>
|
||
<li>популярні моделі</li>
|
||
</ul>
|
||
<hr />
|
||
<h1 id="16-cursor">16. Завдання для Cursor<a class="headerlink" href="#16-cursor" title="Permanent link">¶</a></h1>
|
||
<div class="codehilite"><pre><span></span><code>You are a senior backend + frontend engineer.
|
||
|
||
Integrate OpenAI LLM into the MicroDAO Agents system using:
|
||
|
||
<span class="k">-</span> 11_llm_integration.md
|
||
<span class="k">-</span> 03_api_core_snapshot.md
|
||
<span class="k">-</span> 05_coding_standards.md
|
||
|
||
Tasks:
|
||
|
||
1. Create openaiClient.ts
|
||
2. Create modelRouter.ts
|
||
3. Add AgentChat endpoint
|
||
4. Connect AgentChatWindow to backend
|
||
5. Add LLM to AgentOnboardingChat
|
||
6. Add LLM to EvolutionMetaAgent (stub)
|
||
|
||
Output:
|
||
|
||
<span class="k">-</span> list of modified files
|
||
<span class="k">-</span> diff
|
||
<span class="k">-</span> summary
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="17">17. Типи та інтерфейси<a class="headerlink" href="#17" title="Permanent link">¶</a></h1>
|
||
<h2 id="171-chatmessage">17.1. ChatMessage<a class="headerlink" href="#171-chatmessage" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">interface</span><span class="w"> </span><span class="nx">ChatMessage</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"system"</span><span class="w"> </span><span class="o">|</span><span class="w"> </span><span class="s2">"user"</span><span class="w"> </span><span class="o">|</span><span class="w"> </span><span class="s2">"assistant"</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">timestamp?</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">;</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<h2 id="172-llmresponse">17.2. LLMResponse<a class="headerlink" href="#172-llmresponse" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">interface</span><span class="w"> </span><span class="nx">LLMResponse</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">model</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">tokens</span><span class="o">?:</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">prompt</span><span class="o">:</span><span class="w"> </span><span class="kt">number</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">completion</span><span class="o">:</span><span class="w"> </span><span class="kt">number</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">total</span><span class="o">:</span><span class="w"> </span><span class="kt">number</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="p">};</span>
|
||
<span class="w"> </span><span class="nx">finishReason?</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">;</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<h2 id="173-agentchatrequest">17.3. AgentChatRequest<a class="headerlink" href="#173-agentchatrequest" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="kd">interface</span><span class="w"> </span><span class="nx">AgentChatRequest</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">messages</span><span class="o">:</span><span class="w"> </span><span class="kt">ChatMessage</span><span class="p">[];</span>
|
||
<span class="w"> </span><span class="nx">context</span><span class="o">?:</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">channelId?</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">threadId?</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">userId?</span><span class="o">:</span><span class="w"> </span><span class="kt">string</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="p">};</span>
|
||
<span class="w"> </span><span class="nx">options</span><span class="o">?:</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">temperature?</span><span class="o">:</span><span class="w"> </span><span class="kt">number</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">maxTokens?</span><span class="o">:</span><span class="w"> </span><span class="kt">number</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="nx">stream?</span><span class="o">:</span><span class="w"> </span><span class="kt">boolean</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="p">};</span>
|
||
<span class="p">}</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="18">18. Тестування<a class="headerlink" href="#18" title="Permanent link">¶</a></h1>
|
||
<h2 id="181-unit-tests">18.1. Unit Tests<a class="headerlink" href="#181-unit-tests" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="nx">describe</span><span class="p">(</span><span class="s2">"openaiClient"</span><span class="p">,</span><span class="w"> </span><span class="p">()</span><span class="w"> </span><span class="p">=></span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">it</span><span class="p">(</span><span class="s2">"should call LLM with correct messages"</span><span class="p">,</span><span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="p">()</span><span class="w"> </span><span class="p">=></span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">messages</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">[</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"system"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="s2">"You are a helpful assistant"</span><span class="w"> </span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"user"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="s2">"Hello"</span><span class="w"> </span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">];</span>
|
||
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">response</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">callLLM</span><span class="p">(</span><span class="nx">messages</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="nx">expect</span><span class="p">(</span><span class="nx">response</span><span class="p">).</span><span class="nx">toBeDefined</span><span class="p">();</span>
|
||
<span class="w"> </span><span class="nx">expect</span><span class="p">(</span><span class="ow">typeof</span><span class="w"> </span><span class="nx">response</span><span class="p">).</span><span class="nx">toBe</span><span class="p">(</span><span class="s2">"string"</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="p">});</span>
|
||
<span class="p">});</span>
|
||
</code></pre></div>
|
||
|
||
<h2 id="182-integration-tests">18.2. Integration Tests<a class="headerlink" href="#182-integration-tests" title="Permanent link">¶</a></h2>
|
||
<div class="codehilite"><pre><span></span><code><span class="nx">describe</span><span class="p">(</span><span class="s2">"Agent Chat Integration"</span><span class="p">,</span><span class="w"> </span><span class="p">()</span><span class="w"> </span><span class="p">=></span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="nx">it</span><span class="p">(</span><span class="s2">"should handle full chat flow"</span><span class="p">,</span><span class="w"> </span><span class="k">async</span><span class="w"> </span><span class="p">()</span><span class="w"> </span><span class="p">=></span><span class="w"> </span><span class="p">{</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">agentId</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"test-agent"</span><span class="p">;</span>
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">messages</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">[</span>
|
||
<span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="nx">role</span><span class="o">:</span><span class="w"> </span><span class="s2">"user"</span><span class="p">,</span><span class="w"> </span><span class="nx">content</span><span class="o">:</span><span class="w"> </span><span class="s2">"Hello"</span><span class="w"> </span><span class="p">},</span>
|
||
<span class="w"> </span><span class="p">];</span>
|
||
|
||
<span class="w"> </span><span class="kd">const</span><span class="w"> </span><span class="nx">response</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">await</span><span class="w"> </span><span class="nx">agentChat</span><span class="p">(</span><span class="nx">agentId</span><span class="p">,</span><span class="w"> </span><span class="nx">messages</span><span class="p">);</span>
|
||
<span class="w"> </span><span class="nx">expect</span><span class="p">(</span><span class="nx">response</span><span class="p">.</span><span class="nx">reply</span><span class="p">).</span><span class="nx">toBeDefined</span><span class="p">();</span>
|
||
<span class="w"> </span><span class="p">});</span>
|
||
<span class="p">});</span>
|
||
</code></pre></div>
|
||
|
||
<hr />
|
||
<h1 id="19">19. Результат<a class="headerlink" href="#19" title="Permanent link">¶</a></h1>
|
||
<p>Після інтеграції:</p>
|
||
<ul>
|
||
<li>будь-який агент microDAO працює на GPT/LLM,</li>
|
||
<li>онбординг веде агент-гіда,</li>
|
||
<li>Team Assistant відповідає у чаті,</li>
|
||
<li>Meta-Agent генерує покращення,</li>
|
||
<li>вся система стає справжньою OS на базі ШІ.</li>
|
||
</ul>
|
||
<hr />
|
||
<h1 id="20">20. Наступні кроки<a class="headerlink" href="#20" title="Permanent link">¶</a></h1>
|
||
<p>Після базової інтеграції можна додати:</p>
|
||
<ul>
|
||
<li>Streaming відповідей для кращого UX</li>
|
||
<li>Кешування для оптимізації витрат</li>
|
||
<li>Підтримку альтернативних провайдерів</li>
|
||
<li>Fine-tuning моделей для конкретних спільнот</li>
|
||
<li>Інтеграцію з DAGI для колективного навчання</li>
|
||
</ul>
|
||
<hr />
|
||
<p><strong>Готово.</strong><br />
|
||
Це <strong>повна специфікація інтеграції LLM</strong>, готова до використання в Cursor.</p>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
</article>
|
||
</div>
|
||
|
||
|
||
<script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script>
|
||
</div>
|
||
|
||
</main>
|
||
|
||
<footer class="md-footer">
|
||
|
||
<div class="md-footer-meta md-typeset">
|
||
<div class="md-footer-meta__inner md-grid">
|
||
<div class="md-copyright">
|
||
|
||
|
||
Made with
|
||
<a href="https://squidfunk.github.io/mkdocs-material/" target="_blank" rel="noopener">
|
||
Material for MkDocs
|
||
</a>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</footer>
|
||
|
||
</div>
|
||
<div class="md-dialog" data-md-component="dialog">
|
||
<div class="md-dialog__inner md-typeset"></div>
|
||
</div>
|
||
|
||
|
||
<script id="__config" type="application/json">{"base": "../..", "features": ["navigation.sections", "navigation.instant", "content.code.copy"], "search": "../../assets/javascripts/workers/search.b8dbb3d2.min.js", "translations": {"clipboard.copied": "Copied to clipboard", "clipboard.copy": "Copy to clipboard", "search.result.more.one": "1 more on this page", "search.result.more.other": "# more on this page", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents", "search.result.placeholder": "Type to start searching", "search.result.term.missing": "Missing", "select.version": "Select version"}}</script>
|
||
|
||
|
||
<script src="../../assets/javascripts/bundle.3220b9d7.min.js"></script>
|
||
|
||
|
||
</body>
|
||
</html> |