ef3473db21
Complete snapshot of /opt/microdao-daarion/ from NODE1 (144.76.224.179).
This represents the actual running production code that has diverged
significantly from the previous main branch.
Key changes from old main:
- Gateway (http_api.py): expanded from ~40KB to 164KB with full agent support
- Router: new /v1/agents/{id}/infer endpoint with vision + DeepSeek routing
- Behavior Policy: SOWA v2.2 (3-level: FULL/ACK/SILENT)
- Agent Registry: config/agent_registry.yml as single source of truth
- 13 agents configured (was 3)
- Memory service integration
- CrewAI teams and roles
Excluded from snapshot: venv/, .env, data/, backups, .tgz archives
Co-authored-by: Cursor <cursoragent@cursor.com>
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<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>
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||
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<p>як організувати backend-виклики,</p>
|
||
</li>
|
||
<li>
|
||
<p>як звʼязати агента з моделлю,</p>
|
||
</li>
|
||
<li>
|
||
<p>як працює agent-first онбординг,</p>
|
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</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>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
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