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Architecture
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DAIS & DAOS
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Infra
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Infra
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Infra Automation Pack v1
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Monitoring Overview
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Nodes Registry v0
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Matrix Presence Aggregator
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City Map Spec
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Node Join Protocol (Draft)
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|
||||
<li class="md-nav__item">
|
||||
<a href="#1" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
1. Метрики для збору
|
||||
</span>
|
||||
</a>
|
||||
|
||||
<nav class="md-nav" aria-label="1. Метрики для збору">
|
||||
<ul class="md-nav__list">
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#11-rag-service-metrics" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
1.1. RAG Service Metrics
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#12-router-metrics-rag-query-mode" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
1.2. Router Metrics (RAG Query Mode)
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#13-memory-service-metrics" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
1.3. Memory Service Metrics
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#2" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
2. Де збирати метрики
|
||||
</span>
|
||||
</a>
|
||||
|
||||
<nav class="md-nav" aria-label="2. Де збирати метрики">
|
||||
<ul class="md-nav__list">
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#21-rag-service" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
2.1. RAG Service
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#22-router" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
2.2. Router
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#3-dashboard-grafana" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
3. Dashboard (Grafana)
|
||||
</span>
|
||||
</a>
|
||||
|
||||
<nav class="md-nav" aria-label="3. Dashboard (Grafana)">
|
||||
<ul class="md-nav__list">
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#31-panels" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
3.1. Panels
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#32-alerts" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
3.2. Alerts
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#4" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
4. Реалізація (мінімальна)
|
||||
</span>
|
||||
</a>
|
||||
|
||||
<nav class="md-nav" aria-label="4. Реалізація (мінімальна)">
|
||||
<ul class="md-nav__list">
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#41-prometheus-client" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
4.1. Додати Prometheus Client
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#42-expose-metrics-endpoint" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
4.2. Expose Metrics Endpoint
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#43-docker-compose-prometheus-grafana" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
4.3. Docker Compose для Prometheus + Grafana
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
</ul>
|
||||
</nav>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#5" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
5. Наступні кроки
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
<li class="md-nav__item">
|
||||
<a href="#6" class="md-nav__link">
|
||||
<span class="md-ellipsis">
|
||||
6. Корисні запити для аналізу
|
||||
</span>
|
||||
</a>
|
||||
|
||||
</li>
|
||||
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div class="md-content" data-md-component="content">
|
||||
<article class="md-content__inner md-typeset">
|
||||
|
||||
|
||||
|
||||
|
||||
<h1 id="rag-metrics-dashboard-plan">RAG Metrics & Dashboard Plan<a class="headerlink" href="#rag-metrics-dashboard-plan" title="Permanent link">¶</a></h1>
|
||||
<p>План збору метрик та створення дашборду для RAG + Memory стеку.</p>
|
||||
<hr />
|
||||
<h2 id="1">1. Метрики для збору<a class="headerlink" href="#1" title="Permanent link">¶</a></h2>
|
||||
<h3 id="11-rag-service-metrics">1.1. RAG Service Metrics<a class="headerlink" href="#11-rag-service-metrics" title="Permanent link">¶</a></h3>
|
||||
<p><strong>Ingest Metrics:</strong>
|
||||
- <code>rag_ingest_total</code> - загальна кількість ingest операцій
|
||||
- <code>rag_ingest_duration_seconds</code> - час ingest (histogram)
|
||||
- <code>rag_ingest_documents_indexed</code> - кількість індексованих документів
|
||||
- <code>rag_ingest_pages_processed</code> - кількість оброблених сторінок
|
||||
- <code>rag_ingest_errors_total</code> - кількість помилок ingest</p>
|
||||
<p><strong>Query Metrics:</strong>
|
||||
- <code>rag_query_total</code> - загальна кількість запитів
|
||||
- <code>rag_query_duration_seconds</code> - час query (histogram)
|
||||
- <code>rag_query_documents_retrieved</code> - кількість знайдених документів
|
||||
- <code>rag_query_citations_count</code> - кількість citations
|
||||
- <code>rag_query_embedding_time_seconds</code> - час embedding
|
||||
- <code>rag_query_retrieval_time_seconds</code> - час retrieval
|
||||
- <code>rag_query_llm_time_seconds</code> - час LLM генерації
|
||||
- <code>rag_query_errors_total</code> - кількість помилок query
|
||||
- <code>rag_query_empty_results_total</code> - запити без результатів</p>
|
||||
<p><strong>Quality Metrics:</strong>
|
||||
- <code>rag_query_dao_filter_applied</code> - застосування dao_id фільтра
|
||||
- <code>rag_query_doc_ids_found</code> - унікальні doc_ids в результатах</p>
|
||||
<h3 id="12-router-metrics-rag-query-mode">1.2. Router Metrics (RAG Query Mode)<a class="headerlink" href="#12-router-metrics-rag-query-mode" title="Permanent link">¶</a></h3>
|
||||
<ul>
|
||||
<li><code>router_rag_query_total</code> - загальна кількість rag_query запитів</li>
|
||||
<li><code>router_rag_query_duration_seconds</code> - загальний час обробки</li>
|
||||
<li><code>router_rag_query_memory_used</code> - використання Memory</li>
|
||||
<li><code>router_rag_query_rag_used</code> - використання RAG</li>
|
||||
<li><code>router_rag_query_prompt_tokens_estimated</code> - оцінка токенів промпту</li>
|
||||
<li><code>router_rag_query_fallback_total</code> - fallback на Memory only</li>
|
||||
</ul>
|
||||
<h3 id="13-memory-service-metrics">1.3. Memory Service Metrics<a class="headerlink" href="#13-memory-service-metrics" title="Permanent link">¶</a></h3>
|
||||
<ul>
|
||||
<li><code>memory_context_fetch_total</code> - кількість викликів get_context</li>
|
||||
<li><code>memory_context_fetch_duration_seconds</code> - час отримання контексту</li>
|
||||
<li><code>memory_context_facts_count</code> - кількість facts</li>
|
||||
<li><code>memory_context_events_count</code> - кількість events</li>
|
||||
<li><code>memory_context_summaries_count</code> - кількість summaries</li>
|
||||
</ul>
|
||||
<hr />
|
||||
<h2 id="2">2. Де збирати метрики<a class="headerlink" href="#2" title="Permanent link">¶</a></h2>
|
||||
<h3 id="21-rag-service">2.1. RAG Service<a class="headerlink" href="#21-rag-service" title="Permanent link">¶</a></h3>
|
||||
<p><strong>Файл:</strong> <code>services/rag-service/app/metrics.py</code></p>
|
||||
<div class="codehilite"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">prometheus_client</span><span class="w"> </span><span class="kn">import</span> <span class="n">Counter</span><span class="p">,</span> <span class="n">Histogram</span><span class="p">,</span> <span class="n">Gauge</span>
|
||||
|
||||
<span class="c1"># Ingest metrics</span>
|
||||
<span class="n">ingest_total</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'rag_ingest_total'</span><span class="p">,</span> <span class="s1">'Total ingest operations'</span><span class="p">)</span>
|
||||
<span class="n">ingest_duration</span> <span class="o">=</span> <span class="n">Histogram</span><span class="p">(</span><span class="s1">'rag_ingest_duration_seconds'</span><span class="p">,</span> <span class="s1">'Ingest duration'</span><span class="p">)</span>
|
||||
<span class="n">ingest_documents</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'rag_ingest_documents_indexed'</span><span class="p">,</span> <span class="s1">'Documents indexed'</span><span class="p">)</span>
|
||||
<span class="n">ingest_errors</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'rag_ingest_errors_total'</span><span class="p">,</span> <span class="s1">'Ingest errors'</span><span class="p">)</span>
|
||||
|
||||
<span class="c1"># Query metrics</span>
|
||||
<span class="n">query_total</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'rag_query_total'</span><span class="p">,</span> <span class="s1">'Total queries'</span><span class="p">)</span>
|
||||
<span class="n">query_duration</span> <span class="o">=</span> <span class="n">Histogram</span><span class="p">(</span><span class="s1">'rag_query_duration_seconds'</span><span class="p">,</span> <span class="s1">'Query duration'</span><span class="p">)</span>
|
||||
<span class="n">query_documents</span> <span class="o">=</span> <span class="n">Histogram</span><span class="p">(</span><span class="s1">'rag_query_documents_retrieved'</span><span class="p">,</span> <span class="s1">'Documents retrieved'</span><span class="p">)</span>
|
||||
<span class="n">query_citations</span> <span class="o">=</span> <span class="n">Histogram</span><span class="p">(</span><span class="s1">'rag_query_citations_count'</span><span class="p">,</span> <span class="s1">'Citations count'</span><span class="p">)</span>
|
||||
<span class="n">query_errors</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'rag_query_errors_total'</span><span class="p">,</span> <span class="s1">'Query errors'</span><span class="p">)</span>
|
||||
<span class="n">query_empty</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'rag_query_empty_results_total'</span><span class="p">,</span> <span class="s1">'Empty results'</span><span class="p">)</span>
|
||||
|
||||
<span class="c1"># Quality metrics</span>
|
||||
<span class="n">query_dao_filter</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'rag_query_dao_filter_applied'</span><span class="p">,</span> <span class="s1">'DAO filter applied'</span><span class="p">,</span> <span class="p">[</span><span class="s1">'dao_id'</span><span class="p">])</span>
|
||||
</code></pre></div>
|
||||
|
||||
<p><strong>Використання:</strong>
|
||||
- В <code>ingest_pipeline.py</code>: після успішного ingest
|
||||
- В <code>query_pipeline.py</code>: після кожного query</p>
|
||||
<h3 id="22-router">2.2. Router<a class="headerlink" href="#22-router" title="Permanent link">¶</a></h3>
|
||||
<p><strong>Файл:</strong> <code>metrics.py</code> (в корені Router)</p>
|
||||
<div class="codehilite"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">prometheus_client</span><span class="w"> </span><span class="kn">import</span> <span class="n">Counter</span><span class="p">,</span> <span class="n">Histogram</span>
|
||||
|
||||
<span class="n">rag_query_total</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'router_rag_query_total'</span><span class="p">,</span> <span class="s1">'Total RAG queries'</span><span class="p">)</span>
|
||||
<span class="n">rag_query_duration</span> <span class="o">=</span> <span class="n">Histogram</span><span class="p">(</span><span class="s1">'router_rag_query_duration_seconds'</span><span class="p">,</span> <span class="s1">'RAG query duration'</span><span class="p">)</span>
|
||||
<span class="n">rag_query_memory_used</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'router_rag_query_memory_used'</span><span class="p">,</span> <span class="s1">'Memory used in RAG queries'</span><span class="p">)</span>
|
||||
<span class="n">rag_query_rag_used</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'router_rag_query_rag_used'</span><span class="p">,</span> <span class="s1">'RAG used in queries'</span><span class="p">)</span>
|
||||
<span class="n">rag_query_fallback</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="s1">'router_rag_query_fallback_total'</span><span class="p">,</span> <span class="s1">'Fallback to Memory only'</span><span class="p">)</span>
|
||||
</code></pre></div>
|
||||
|
||||
<p><strong>Використання:</strong>
|
||||
- В <code>router_app.py</code>: в <code>_handle_rag_query()</code></p>
|
||||
<hr />
|
||||
<h2 id="3-dashboard-grafana">3. Dashboard (Grafana)<a class="headerlink" href="#3-dashboard-grafana" title="Permanent link">¶</a></h2>
|
||||
<h3 id="31-panels">3.1. Panels<a class="headerlink" href="#31-panels" title="Permanent link">¶</a></h3>
|
||||
<p><strong>RAG Service:</strong>
|
||||
1. <strong>Ingest Rate</strong> - <code>rate(rag_ingest_total[5m])</code>
|
||||
2. <strong>Ingest Duration</strong> - <code>histogram_quantile(0.95, rag_ingest_duration_seconds)</code>
|
||||
3. <strong>Documents Indexed</strong> - <code>sum(rag_ingest_documents_indexed)</code>
|
||||
4. <strong>Query Rate</strong> - <code>rate(rag_query_total[5m])</code>
|
||||
5. <strong>Query Duration</strong> - <code>histogram_quantile(0.95, rag_query_duration_seconds)</code>
|
||||
6. <strong>Documents Retrieved</strong> - <code>avg(rag_query_documents_retrieved)</code>
|
||||
7. <strong>Citations Count</strong> - <code>avg(rag_query_citations_count)</code>
|
||||
8. <strong>Empty Results Rate</strong> - <code>rate(rag_query_empty_results_total[5m]) / rate(rag_query_total[5m])</code></p>
|
||||
<p><strong>Router (RAG Query):</strong>
|
||||
1. <strong>RAG Query Rate</strong> - <code>rate(router_rag_query_total[5m])</code>
|
||||
2. <strong>RAG Query Duration</strong> - <code>histogram_quantile(0.95, router_rag_query_duration_seconds)</code>
|
||||
3. <strong>Memory Usage Rate</strong> - <code>rate(router_rag_query_memory_used[5m]) / rate(router_rag_query_total[5m])</code>
|
||||
4. <strong>RAG Usage Rate</strong> - <code>rate(router_rag_query_rag_used[5m]) / rate(router_rag_query_total[5m])</code>
|
||||
5. <strong>Fallback Rate</strong> - <code>rate(router_rag_query_fallback_total[5m]) / rate(router_rag_query_total[5m])</code></p>
|
||||
<p><strong>Memory Service:</strong>
|
||||
1. <strong>Context Fetch Rate</strong> - <code>rate(memory_context_fetch_total[5m])</code>
|
||||
2. <strong>Context Fetch Duration</strong> - <code>histogram_quantile(0.95, memory_context_fetch_duration_seconds)</code>
|
||||
3. <strong>Average Facts Count</strong> - <code>avg(memory_context_facts_count)</code>
|
||||
4. <strong>Average Events Count</strong> - <code>avg(memory_context_events_count)</code></p>
|
||||
<h3 id="32-alerts">3.2. Alerts<a class="headerlink" href="#32-alerts" title="Permanent link">¶</a></h3>
|
||||
<ul>
|
||||
<li><strong>High Error Rate</strong>: <code>rate(rag_query_errors_total[5m]) > 0.1</code></li>
|
||||
<li><strong>Slow Queries</strong>: <code>histogram_quantile(0.95, rag_query_duration_seconds) > 10</code></li>
|
||||
<li><strong>High Fallback Rate</strong>: <code>rate(router_rag_query_fallback_total[5m]) / rate(router_rag_query_total[5m]) > 0.2</code></li>
|
||||
<li><strong>Empty Results</strong>: <code>rate(rag_query_empty_results_total[5m]) / rate(rag_query_total[5m]) > 0.3</code></li>
|
||||
</ul>
|
||||
<hr />
|
||||
<h2 id="4">4. Реалізація (мінімальна)<a class="headerlink" href="#4" title="Permanent link">¶</a></h2>
|
||||
<h3 id="41-prometheus-client">4.1. Додати Prometheus Client<a class="headerlink" href="#41-prometheus-client" title="Permanent link">¶</a></h3>
|
||||
<p><strong>RAG Service:</strong></p>
|
||||
<div class="codehilite"><pre><span></span><code>pip<span class="w"> </span>install<span class="w"> </span>prometheus-client
|
||||
</code></pre></div>
|
||||
|
||||
<p><strong>Router:</strong></p>
|
||||
<div class="codehilite"><pre><span></span><code>pip<span class="w"> </span>install<span class="w"> </span>prometheus-client
|
||||
</code></pre></div>
|
||||
|
||||
<h3 id="42-expose-metrics-endpoint">4.2. Expose Metrics Endpoint<a class="headerlink" href="#42-expose-metrics-endpoint" title="Permanent link">¶</a></h3>
|
||||
<p><strong>RAG Service:</strong></p>
|
||||
<div class="codehilite"><pre><span></span><code><span class="c1"># app/main.py</span>
|
||||
<span class="kn">from</span><span class="w"> </span><span class="nn">prometheus_client</span><span class="w"> </span><span class="kn">import</span> <span class="n">generate_latest</span><span class="p">,</span> <span class="n">CONTENT_TYPE_LATEST</span>
|
||||
<span class="kn">from</span><span class="w"> </span><span class="nn">fastapi.responses</span><span class="w"> </span><span class="kn">import</span> <span class="n">Response</span>
|
||||
|
||||
<span class="nd">@app</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"/metrics"</span><span class="p">)</span>
|
||||
<span class="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">metrics</span><span class="p">():</span>
|
||||
<span class="k">return</span> <span class="n">Response</span><span class="p">(</span><span class="n">content</span><span class="o">=</span><span class="n">generate_latest</span><span class="p">(),</span> <span class="n">media_type</span><span class="o">=</span><span class="n">CONTENT_TYPE_LATEST</span><span class="p">)</span>
|
||||
</code></pre></div>
|
||||
|
||||
<p><strong>Router:</strong></p>
|
||||
<div class="codehilite"><pre><span></span><code><span class="c1"># http_api.py</span>
|
||||
<span class="nd">@app</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"/metrics"</span><span class="p">)</span>
|
||||
<span class="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">metrics</span><span class="p">():</span>
|
||||
<span class="k">return</span> <span class="n">Response</span><span class="p">(</span><span class="n">content</span><span class="o">=</span><span class="n">generate_latest</span><span class="p">(),</span> <span class="n">media_type</span><span class="o">=</span><span class="n">CONTENT_TYPE_LATEST</span><span class="p">)</span>
|
||||
</code></pre></div>
|
||||
|
||||
<h3 id="43-docker-compose-prometheus-grafana">4.3. Docker Compose для Prometheus + Grafana<a class="headerlink" href="#43-docker-compose-prometheus-grafana" title="Permanent link">¶</a></h3>
|
||||
<div class="codehilite"><pre><span></span><code><span class="nt">prometheus</span><span class="p">:</span>
|
||||
<span class="w"> </span><span class="nt">image</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">prom/prometheus</span>
|
||||
<span class="w"> </span><span class="nt">volumes</span><span class="p">:</span>
|
||||
<span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">./prometheus.yml:/etc/prometheus/prometheus.yml</span>
|
||||
<span class="w"> </span><span class="nt">ports</span><span class="p">:</span>
|
||||
<span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="s">"9090:9090"</span>
|
||||
|
||||
<span class="nt">grafana</span><span class="p">:</span>
|
||||
<span class="w"> </span><span class="nt">image</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">grafana/grafana</span>
|
||||
<span class="w"> </span><span class="nt">ports</span><span class="p">:</span>
|
||||
<span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="s">"3000:3000"</span>
|
||||
<span class="w"> </span><span class="nt">environment</span><span class="p">:</span>
|
||||
<span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">GF_SECURITY_ADMIN_PASSWORD=admin</span>
|
||||
</code></pre></div>
|
||||
|
||||
<hr />
|
||||
<h2 id="5">5. Наступні кроки<a class="headerlink" href="#5" title="Permanent link">¶</a></h2>
|
||||
<ol>
|
||||
<li>Додати <code>prometheus-client</code> в requirements</li>
|
||||
<li>Створити <code>metrics.py</code> в RAG Service та Router</li>
|
||||
<li>Додати <code>/metrics</code> endpoints</li>
|
||||
<li>Налаштувати Prometheus scraping</li>
|
||||
<li>Створити Grafana dashboard</li>
|
||||
<li>Налаштувати alerts</li>
|
||||
</ol>
|
||||
<hr />
|
||||
<h2 id="6">6. Корисні запити для аналізу<a class="headerlink" href="#6" title="Permanent link">¶</a></h2>
|
||||
<p><strong>Hit Rate (кількість успішних запитів з результатами):</strong></p>
|
||||
<div class="codehilite"><pre><span></span><code>(rag_query_total - rag_query_empty_results_total) / rag_query_total
|
||||
</code></pre></div>
|
||||
|
||||
<p><strong>Average Documents per Query:</strong></p>
|
||||
<div class="codehilite"><pre><span></span><code>avg(rag_query_documents_retrieved)
|
||||
</code></pre></div>
|
||||
|
||||
<p><strong>DAO Distribution:</strong></p>
|
||||
<div class="codehilite"><pre><span></span><code>sum by (dao_id) (rag_query_dao_filter_applied)
|
||||
</code></pre></div>
|
||||
|
||||
<p><strong>Token Usage:</strong></p>
|
||||
<div class="codehilite"><pre><span></span><code>avg(router_rag_query_prompt_tokens_estimated)
|
||||
</code></pre></div>
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
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|
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