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<h1>Signals™<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#signals"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h1>
<p>Agentic Signals are behavioral and executions quality indicators that act as early warning signs of agent performance—highlighting both brilliant successes and <strong>severe failures</strong>. These signals are computed directly from conversation traces without requiring manual labeling or domain expertise, making them practical for production observability at scale.</p>
<section id="the-problem-knowing-what-s-good">
<h2>The Problem: Knowing Whats “Good”<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#the-problem-knowing-what-s-good" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#the-problem-knowing-what-s-good'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>One of the hardest parts of building agents is measuring how well they perform in the real world.</p>
<p><strong>Offline testing</strong> relies on hand-picked examples and happy-path scenarios, missing the messy diversity of real usage. Developers manually prompt models, evaluate responses, and tune prompts by guesswork—a slow, incomplete feedback loop.</p>
<p><strong>Production debugging</strong> floods developers with traces and logs but provides little guidance on which interactions actually matter. Finding failures means painstakingly reconstructing sessions and manually labeling quality issues.</p>
<p>You cant score every response with an LLM-as-judge (too expensive, too slow) or manually review every trace (doesnt scale). What you need are <strong>behavioral signals</strong>—fast, economical proxies that dont label quality outright but dramatically shrink the search space, pointing to sessions most likely to be broken or brilliant.</p>
</section>
<section id="what-are-behavioral-signals">
<h2>What Are Behavioral Signals?<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#what-are-behavioral-signals" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#what-are-behavioral-signals'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>Behavioral signals are canaries in the coal mine—early, objective indicators that something may have gone wrong (or gone exceptionally well). They dont explain <em>why</em> an agent failed, but they reliably signal <em>where</em> attention is needed.</p>
<p>These signals emerge naturally from the rhythm of interaction:</p>
<ul class="simple">
<li><p>A user rephrasing the same request</p></li>
<li><p>Sharp increases in conversation length</p></li>
<li><p>Frustrated follow-up messages (ALL CAPS, “this doesnt work”, excessive !!!/???)</p></li>
<li><p>Agent repetition / looping</p></li>
<li><p>Expressions of gratitude or satisfaction</p></li>
<li><p>Requests to speak to a human / contact support</p></li>
</ul>
<p>Individually, these clues are shallow; together, they form a fingerprint of agent performance. Embedded directly into traces, they make it easy to spot friction as it happens: where users struggle, where agents loop, and where escalations occur.</p>
</section>
<section id="signals-vs-response-quality">
<h2>Signals vs Response Quality<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#signals-vs-response-quality" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#signals-vs-response-quality'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>Behavioral signals and response quality are complementary.</p>
<dl class="simple">
<dt><strong>Response Quality</strong></dt><dd><p>Domain-specific correctness: did the agent do the right thing given business rules, user intent, and operational context? This often requires subject-matter experts or outcome instrumentation and is time-intensive but irreplaceable.</p>
</dd>
<dt><strong>Behavioral Signals</strong></dt><dd><p>Observable patterns that correlate with quality: high repair frequency, excessive turns, frustration markers, repetition, escalation, and positive feedback. Fast to compute and valuable for prioritizing which traces deserve inspection.</p>
</dd>
</dl>
<p>Used together, signals tell you <em>where to look</em>, and quality evaluation tells you <em>what went wrong (or right)</em>.</p>
</section>
<section id="how-it-works">
<h2>How It Works<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#how-it-works" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#how-it-works'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>Signals are computed automatically by the gateway and emitted as <strong>OpenTelemetry trace attributes</strong> to your existing observability stack (Jaeger, Honeycomb, Grafana Tempo, etc.). No additional libraries or instrumentation required—just configure your OTEL collector endpoint.</p>
<p>Each conversation trace is enriched with signal attributes that you can query, filter, and visualize in your observability platform. The gateway analyzes message content (performing text normalization, Unicode handling, and pattern matching) to compute behavioral signals in real-time.</p>
<p><strong>OTEL Trace Attributes</strong></p>
<p>Signal data is exported as structured span attributes:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">signals.quality</span></code> - Overall assessment (Excellent/Good/Neutral/Poor/Severe)</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">signals.turn_count</span></code> - Total number of turns in the conversation</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">signals.efficiency_score</span></code> - Efficiency metric (0.0-1.0)</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">signals.repair.count</span></code> - Number of repair attempts detected (when present)</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">signals.repair.ratio</span></code> - Ratio of repairs to user turns (when present)</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">signals.frustration.count</span></code> - Number of frustration indicators detected</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">signals.frustration.severity</span></code> - Frustration level (0-3)</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">signals.repetition.count</span></code> - Number of repetition instances detected</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">signals.escalation.requested</span></code> - Boolean escalation flag (“true” when present)</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">signals.positive_feedback.count</span></code> - Number of positive feedback indicators</p></li>
</ul>
<p><strong>Visual Flag Marker</strong></p>
<p>When concerning signals are detected (frustration, looping, escalation, or poor/severe quality), the flag marker <strong>🚩</strong> is automatically appended to the spans operation name, making problematic traces easy to spot in your trace visualizations.</p>
<p><strong>Querying in Your Observability Platform</strong></p>
<p>Example queries:</p>
<ul class="simple">
<li><p>Find all severe interactions: <code class="docutils literal notranslate"><span class="pre">signals.quality</span> <span class="pre">=</span> <span class="pre">"Severe"</span></code></p></li>
<li><p>Find flagged traces: search for <strong>🚩</strong> in span names</p></li>
<li><p>Find long conversations: <code class="docutils literal notranslate"><span class="pre">signals.turn_count</span> <span class="pre">&gt;</span> <span class="pre">10</span></code></p></li>
<li><p>Find inefficient interactions: <code class="docutils literal notranslate"><span class="pre">signals.efficiency_score</span> <span class="pre">&lt;</span> <span class="pre">0.5</span></code></p></li>
<li><p>Find high repair rates: <code class="docutils literal notranslate"><span class="pre">signals.repair.ratio</span> <span class="pre">&gt;</span> <span class="pre">0.3</span></code></p></li>
<li><p>Find frustrated users: <code class="docutils literal notranslate"><span class="pre">signals.frustration.severity</span> <span class="pre">&gt;=</span> <span class="pre">2</span></code></p></li>
<li><p>Find looping agents: <code class="docutils literal notranslate"><span class="pre">signals.repetition.count</span> <span class="pre">&gt;=</span> <span class="pre">3</span></code></p></li>
<li><p>Find positive interactions: <code class="docutils literal notranslate"><span class="pre">signals.positive_feedback.count</span> <span class="pre">&gt;=</span> <span class="pre">2</span></code></p></li>
<li><p>Find escalations: <code class="docutils literal notranslate"><span class="pre">signals.escalation.requested</span> <span class="pre">=</span> <span class="pre">"true"</span></code></p></li>
</ul>
<a class="reference internal image-reference" href="../_images/signals_trace.png"><img alt="../_images/signals_trace.png" class="align-center" src="../_images/signals_trace.png" style="width: 100%;"/>
</a>
</section>
<section id="core-signal-types">
<h2>Core Signal Types<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#core-signal-types" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#core-signal-types'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>The signals system tracks six categories of behavioral indicators.</p>
<section id="turn-count-efficiency">
<h3>Turn Count &amp; Efficiency<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#turn-count-efficiency" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#turn-count-efficiency'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h3>
<dl class="simple">
<dt><strong>What it measures</strong></dt><dd><p>Number of userassistant exchanges.</p>
</dd>
<dt><strong>Why it matters</strong></dt><dd><p>Long conversations often indicate unclear intent resolution, confusion, or inefficiency. Very short conversations can correlate with crisp resolution.</p>
</dd>
</dl>
<p><strong>Key metrics</strong></p>
<ul class="simple">
<li><p>Total turn count</p></li>
<li><p>Warning thresholds (concerning: &gt;7 turns, excessive: &gt;12 turns)</p></li>
<li><p>Efficiency score (0.01.0)</p></li>
</ul>
<dl>
<dt><strong>Efficiency scoring</strong></dt><dd><p>Baseline expectation is ~5 turns (tunable). Efficiency stays at 1.0 up to the baseline, then declines with an inverse penalty as turns exceed baseline:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="n">efficiency</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">/</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="mf">0.3</span> <span class="o">*</span> <span class="p">(</span><span class="n">turns</span> <span class="o">-</span> <span class="n">baseline</span><span class="p">))</span>
</span></code></pre></div>
</div>
</dd>
</dl>
</section>
<section id="follow-up-repair-frequency">
<h3>Follow-Up &amp; Repair Frequency<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#follow-up-repair-frequency" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#follow-up-repair-frequency'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h3>
<dl class="simple">
<dt><strong>What it measures</strong></dt><dd><p>How often users clarify, correct, or rephrase requests. This is a <strong>user signal</strong> tracking query reformulation behavior—when users must repair or rephrase their requests because the agent didnt understand or respond appropriately.</p>
</dd>
<dt><strong>Why it matters</strong></dt><dd><p>High repair frequency is a proxy for misunderstanding or intent drift. When users repeatedly rephrase the same request, it indicates the agent is failing to grasp or act on the users intent.</p>
</dd>
</dl>
<p><strong>Key metrics</strong></p>
<ul class="simple">
<li><p>Repair count and ratio (repairs / user turns)</p></li>
<li><p>Concerning threshold: &gt;30% repair ratio</p></li>
<li><p>Detected repair phrases (exact or fuzzy)</p></li>
</ul>
<p><strong>Common patterns detected</strong></p>
<ul class="simple">
<li><p>Explicit corrections: “I meant”, “correction”</p></li>
<li><p>Negations: “No, I…”, “thats not”</p></li>
<li><p>Rephrasing: “let me rephrase”, “to clarify”</p></li>
<li><p>Mistake acknowledgment: “my mistake”, “I was wrong”</p></li>
<li><p>“Similar rephrase” heuristic based on token overlap (with stopwords downweighted)</p></li>
</ul>
</section>
<section id="user-frustration">
<h3>User Frustration<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#user-frustration" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#user-frustration'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h3>
<dl class="simple">
<dt><strong>What it measures</strong></dt><dd><p>Observable frustration indicators and emotional escalation.</p>
</dd>
<dt><strong>Why it matters</strong></dt><dd><p>Catching frustration early enables intervention before users abandon or escalate.</p>
</dd>
</dl>
<p><strong>Detection patterns</strong></p>
<ul class="simple">
<li><p><strong>Complaints</strong>: “this doesnt work”, “not helpful”, “waste of time”</p></li>
<li><p><strong>Confusion</strong>: “I dont understand”, “makes no sense”, “Im confused”</p></li>
<li><p><strong>Tone markers</strong>:</p>
<ul>
<li><p>ALL CAPS (&gt;=10 alphabetic chars and &gt;=80% uppercase)</p></li>
<li><p>Excessive punctuation (&gt;=3 exclamation marks or &gt;=3 question marks)</p></li>
</ul>
</li>
<li><p><strong>Profanity</strong>: token-based (avoids substring false positives like “absolute” -&gt; “bs”)</p></li>
</ul>
<p><strong>Severity levels</strong></p>
<ul class="simple">
<li><p><strong>None (0)</strong>: no indicators</p></li>
<li><p><strong>Mild (1)</strong>: 12 indicators</p></li>
<li><p><strong>Moderate (2)</strong>: 34 indicators</p></li>
<li><p><strong>Severe (3)</strong>: 5+ indicators</p></li>
</ul>
</section>
<section id="repetition-looping">
<h3>Repetition &amp; Looping<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#repetition-looping" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#repetition-looping'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h3>
<dl class="simple">
<dt><strong>What it measures</strong></dt><dd><p>Assistant repetition / degenerative loops. This is an <strong>assistant signal</strong> tracking when the agent repeats itself, fails to follow instructions, or gets stuck in loops—indicating the agent is not making progress or adapting its responses.</p>
</dd>
<dt><strong>Why it matters</strong></dt><dd><p>Often indicates missing state tracking, broken tool integration, prompt issues, or the agent ignoring user corrections. High repetition means the agent is not learning from the conversation context.</p>
</dd>
</dl>
<p><strong>Detection method</strong></p>
<ul class="simple">
<li><p>Compare assistant messages using <strong>bigram Jaccard similarity</strong></p></li>
<li><p>Classify:</p>
<ul>
<li><p><strong>Exact</strong>: similarity &gt;= 0.85</p></li>
<li><p><strong>Near-duplicate</strong>: similarity &gt;= 0.50</p></li>
</ul>
</li>
<li><p>Looping is flagged when repetition instances exceed 2 in a session.</p></li>
</ul>
<p><strong>Severity levels</strong></p>
<ul class="simple">
<li><p><strong>None (0)</strong>: 0 instances</p></li>
<li><p><strong>Mild (1)</strong>: 12 instances</p></li>
<li><p><strong>Moderate (2)</strong>: 34 instances</p></li>
<li><p><strong>Severe (3)</strong>: 5+ instances</p></li>
</ul>
</section>
<section id="positive-feedback">
<h3>Positive Feedback<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#positive-feedback" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#positive-feedback'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h3>
<dl class="simple">
<dt><strong>What it measures</strong></dt><dd><p>User expressions of satisfaction, gratitude, and success.</p>
</dd>
<dt><strong>Why it matters</strong></dt><dd><p>Strong positive signals identify exemplar traces for prompt engineering and evaluation.</p>
</dd>
</dl>
<p><strong>Detection patterns</strong></p>
<ul class="simple">
<li><p>Gratitude: “thank you”, “appreciate it”</p></li>
<li><p>Satisfaction: “thats great”, “awesome”, “love it”</p></li>
<li><p>Success confirmation: “got it”, “that worked”, “perfect”</p></li>
</ul>
<p><strong>Confidence scoring</strong></p>
<ul class="simple">
<li><p>1 indicator: 0.6</p></li>
<li><p>2 indicators: 0.8</p></li>
<li><p>3+ indicators: 0.95</p></li>
</ul>
</section>
<section id="escalation-requests">
<h3>Escalation Requests<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#escalation-requests" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#escalation-requests'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h3>
<dl class="simple">
<dt><strong>What it measures</strong></dt><dd><p>Requests for human help/support or threats to quit.</p>
</dd>
<dt><strong>Why it matters</strong></dt><dd><p>Escalation is a strong signal that the agent failed to resolve the interaction.</p>
</dd>
</dl>
<p><strong>Detection patterns</strong></p>
<ul class="simple">
<li><p>Human requests: “speak to a human”, “real person”, “live agent”</p></li>
<li><p>Support: “contact support”, “customer service”, “help desk”</p></li>
<li><p>Quit threats: “Im done”, “forget it”, “I give up”</p></li>
</ul>
</section>
</section>
<section id="overall-quality-assessment">
<h2>Overall Quality Assessment<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#overall-quality-assessment" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#overall-quality-assessment'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>Signals are aggregated into an overall interaction quality on a 5-point scale.</p>
<dl class="simple">
<dt><strong>Excellent</strong></dt><dd><p>Strong positive signals, efficient resolution, low friction.</p>
</dd>
<dt><strong>Good</strong></dt><dd><p>Mostly positive with minor clarifications; some back-and-forth but successful.</p>
</dd>
<dt><strong>Neutral</strong></dt><dd><p>Mixed signals; neither clearly good nor bad.</p>
</dd>
<dt><strong>Poor</strong></dt><dd><p>Concerning negative patterns (high friction, multiple repairs, moderate frustration). High abandonment risk.</p>
</dd>
<dt><strong>Severe</strong></dt><dd><p>Critical issues—escalation requested, severe frustration, severe looping, or excessive turns (&gt;12). Requires immediate attention.</p>
</dd>
</dl>
<p>This assessment uses a scoring model that weighs positive factors (efficiency, positive feedback) against negative ones (frustration, repairs, repetition, escalation).</p>
</section>
<section id="sampling-and-prioritization">
<h2>Sampling and Prioritization<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#sampling-and-prioritization" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#sampling-and-prioritization'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>In production, trace data is overwhelming. Signals provide a lightweight first layer of analysis to prioritize which sessions deserve review.</p>
<p>Workflow:</p>
<ol class="arabic simple">
<li><p>Gateway captures conversation messages and computes signals</p></li>
<li><p>Signal attributes are emitted to OTEL spans automatically</p></li>
<li><p>Your observability platform ingests and indexes the attributes</p></li>
<li><p>Query/filter by signal attributes to surface outliers (poor/severe and exemplars)</p></li>
<li><p>Review high-information traces to identify improvement opportunities</p></li>
<li><p>Update prompts, routing, or policies based on findings</p></li>
<li><p>Redeploy and monitor signal metrics to validate improvements</p></li>
</ol>
<p>This creates a reinforcement loop where traces become both diagnostic data and training signal.</p>
</section>
<section id="trace-filtering-and-telemetry">
<h2>Trace Filtering and Telemetry<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#trace-filtering-and-telemetry" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#trace-filtering-and-telemetry'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>Signal attributes are automatically added to OpenTelemetry spans, making them immediately queryable in your observability platform.</p>
<p><strong>Visual Filtering</strong></p>
<p>When concerning signals are detected, the flag marker <strong>🚩</strong> (U+1F6A9) is automatically appended to the spans operation name. This makes flagged sessions immediately visible in trace visualizations without requiring attribute filtering.</p>
<p><strong>Example Span Attributes</strong>:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><code><span id="line-1"><span class="c1"># Span name: "POST /v1/chat/completions gpt-4 🚩"</span>
</span><span id="line-2"><span class="n">signals</span><span class="o">.</span><span class="n">quality</span> <span class="o">=</span> <span class="s2">"Severe"</span>
</span><span id="line-3"><span class="n">signals</span><span class="o">.</span><span class="n">turn_count</span> <span class="o">=</span> <span class="mi">15</span>
</span><span id="line-4"><span class="n">signals</span><span class="o">.</span><span class="n">efficiency_score</span> <span class="o">=</span> <span class="mf">0.234</span>
</span><span id="line-5"><span class="n">signals</span><span class="o">.</span><span class="n">repair</span><span class="o">.</span><span class="n">count</span> <span class="o">=</span> <span class="mi">4</span>
</span><span id="line-6"><span class="n">signals</span><span class="o">.</span><span class="n">repair</span><span class="o">.</span><span class="n">ratio</span> <span class="o">=</span> <span class="mf">0.571</span>
</span><span id="line-7"><span class="n">signals</span><span class="o">.</span><span class="n">frustration</span><span class="o">.</span><span class="n">severity</span> <span class="o">=</span> <span class="mi">3</span>
</span><span id="line-8"><span class="n">signals</span><span class="o">.</span><span class="n">frustration</span><span class="o">.</span><span class="n">count</span> <span class="o">=</span> <span class="mi">5</span>
</span><span id="line-9"><span class="n">signals</span><span class="o">.</span><span class="n">escalation</span><span class="o">.</span><span class="n">requested</span> <span class="o">=</span> <span class="s2">"true"</span>
</span><span id="line-10"><span class="n">signals</span><span class="o">.</span><span class="n">repetition</span><span class="o">.</span><span class="n">count</span> <span class="o">=</span> <span class="mi">4</span>
</span></code></pre></div>
</div>
<p><strong>Building Dashboards</strong></p>
<p>Use signal attributes to build monitoring dashboards in Grafana, Honeycomb, Datadog, etc.:</p>
<ul class="simple">
<li><p><strong>Quality distribution</strong>: Count of traces by <code class="docutils literal notranslate"><span class="pre">signals.quality</span></code></p></li>
<li><p><strong>P95 turn count</strong>: 95th percentile of <code class="docutils literal notranslate"><span class="pre">signals.turn_count</span></code></p></li>
<li><p><strong>Average efficiency</strong>: Mean of <code class="docutils literal notranslate"><span class="pre">signals.efficiency_score</span></code></p></li>
<li><p><strong>High repair rate</strong>: Percentage where <code class="docutils literal notranslate"><span class="pre">signals.repair.ratio</span> <span class="pre">&gt;</span> <span class="pre">0.3</span></code></p></li>
<li><p><strong>Frustration rate</strong>: Percentage where <code class="docutils literal notranslate"><span class="pre">signals.frustration.severity</span> <span class="pre">&gt;=</span> <span class="pre">2</span></code></p></li>
<li><p><strong>Escalation rate</strong>: Percentage where <code class="docutils literal notranslate"><span class="pre">signals.escalation.requested</span> <span class="pre">=</span> <span class="pre">"true"</span></code></p></li>
<li><p><strong>Looping rate</strong>: Percentage where <code class="docutils literal notranslate"><span class="pre">signals.repetition.count</span> <span class="pre">&gt;=</span> <span class="pre">3</span></code></p></li>
<li><p><strong>Positive feedback rate</strong>: Percentage where <code class="docutils literal notranslate"><span class="pre">signals.positive_feedback.count</span> <span class="pre">&gt;=</span> <span class="pre">1</span></code></p></li>
</ul>
<p><strong>Creating Alerts</strong></p>
<p>Set up alerts based on signal thresholds:</p>
<ul class="simple">
<li><p>Alert when severe interaction count exceeds threshold in 1-hour window</p></li>
<li><p>Alert on sudden spike in frustration rate (&gt;2x baseline)</p></li>
<li><p>Alert when escalation rate exceeds 5% of total conversations</p></li>
<li><p>Alert on degraded efficiency (P95 turn count increases &gt;50%)</p></li>
</ul>
</section>
<section id="best-practices">
<h2>Best Practices<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#best-practices" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#best-practices'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>Start simple:</p>
<ul class="simple">
<li><p>Alert or page on <strong>Severe</strong> sessions (or on spikes in Severe rate)</p></li>
<li><p>Review <strong>Poor</strong> sessions within 24 hours</p></li>
<li><p>Sample <strong>Excellent</strong> sessions as exemplars</p></li>
</ul>
<p>Combine multiple signals to infer failure modes:</p>
<ul class="simple">
<li><p>Looping: repetition severity &gt;= 2 + excessive turns</p></li>
<li><p>User giving up: frustration severity &gt;= 2 + escalation requested</p></li>
<li><p>Misunderstood intent: repair ratio &gt; 30% + excessive turns</p></li>
<li><p>Working well: positive feedback + high efficiency + no frustration</p></li>
</ul>
</section>
<section id="limitations-and-considerations">
<h2>Limitations and Considerations<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#limitations-and-considerations" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#limitations-and-considerations'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<p>Signals dont capture:</p>
<ul class="simple">
<li><p>Task completion / real outcomes</p></li>
<li><p>Factual or domain correctness</p></li>
<li><p>Silent abandonment (user leaves without expressing frustration)</p></li>
<li><p>Non-English nuance (pattern libraries are English-oriented)</p></li>
</ul>
<p>Mitigation strategies:</p>
<ul class="simple">
<li><p>Periodically sample flagged sessions and measure false positives/negatives</p></li>
<li><p>Tune baselines per use case and user population</p></li>
<li><p>Add domain-specific phrase libraries where needed</p></li>
<li><p>Combine signals with non-text metrics (tool failures, disconnects, latency)</p></li>
</ul>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Behavioral signals complement—but do not replace—domain-specific response quality evaluation. Use signals to prioritize which traces to inspect, then apply domain expertise and outcome checks to diagnose root causes.</p>
</div>
<div class="admonition tip">
<p class="admonition-title">Tip</p>
<p>The flag marker in the span name provides instant visual feedback in trace UIs, while the structured attributes (<code class="docutils literal notranslate"><span class="pre">signals.quality</span></code>, <code class="docutils literal notranslate"><span class="pre">signals.frustration.severity</span></code>, etc.) enable powerful querying and aggregation in your observability platform.</p>
</div>
</section>
<section id="see-also">
<h2>See Also<a @click.prevent="window.navigator.clipboard.writeText($el.href); $el.setAttribute('data-tooltip', 'Copied!'); setTimeout(() =&gt; $el.setAttribute('data-tooltip', 'Copy link to this element'), 2000)" aria-label="Copy link to this element" class="headerlink" data-tooltip="Copy link to this element" href="#see-also" x-intersect.margin.0%.0%.-70%.0%="activeSection = '#see-also'"><svg height="1em" viewbox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z"></path></svg></a></h2>
<ul class="simple">
<li><p><a class="reference internal" href="../guides/observability/tracing.html"><span class="doc">Tracing</span></a> - Distributed tracing for agent systems</p></li>
<li><p><a class="reference internal" href="../guides/observability/monitoring.html"><span class="doc">Monitoring</span></a> - Metrics and dashboards</p></li>
<li><p><a class="reference internal" href="../guides/observability/access_logging.html"><span class="doc">Access Logging</span></a> - Request/response logging</p></li>
<li><p><a class="reference internal" href="../guides/observability/observability.html"><span class="doc">Observability</span></a> - Complete observability guide</p></li>
</ul>
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<ul>
<li><a :data-current="activeSection === '#the-problem-knowing-what-s-good'" class="reference internal" href="#the-problem-knowing-what-s-good">The Problem: Knowing Whats “Good”</a></li>
<li><a :data-current="activeSection === '#what-are-behavioral-signals'" class="reference internal" href="#what-are-behavioral-signals">What Are Behavioral Signals?</a></li>
<li><a :data-current="activeSection === '#signals-vs-response-quality'" class="reference internal" href="#signals-vs-response-quality">Signals vs Response Quality</a></li>
<li><a :data-current="activeSection === '#how-it-works'" class="reference internal" href="#how-it-works">How It Works</a></li>
<li><a :data-current="activeSection === '#core-signal-types'" class="reference internal" href="#core-signal-types">Core Signal Types</a><ul>
<li><a :data-current="activeSection === '#turn-count-efficiency'" class="reference internal" href="#turn-count-efficiency">Turn Count &amp; Efficiency</a></li>
<li><a :data-current="activeSection === '#follow-up-repair-frequency'" class="reference internal" href="#follow-up-repair-frequency">Follow-Up &amp; Repair Frequency</a></li>
<li><a :data-current="activeSection === '#user-frustration'" class="reference internal" href="#user-frustration">User Frustration</a></li>
<li><a :data-current="activeSection === '#repetition-looping'" class="reference internal" href="#repetition-looping">Repetition &amp; Looping</a></li>
<li><a :data-current="activeSection === '#positive-feedback'" class="reference internal" href="#positive-feedback">Positive Feedback</a></li>
<li><a :data-current="activeSection === '#escalation-requests'" class="reference internal" href="#escalation-requests">Escalation Requests</a></li>
</ul>
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<li><a :data-current="activeSection === '#overall-quality-assessment'" class="reference internal" href="#overall-quality-assessment">Overall Quality Assessment</a></li>
<li><a :data-current="activeSection === '#sampling-and-prioritization'" class="reference internal" href="#sampling-and-prioritization">Sampling and Prioritization</a></li>
<li><a :data-current="activeSection === '#trace-filtering-and-telemetry'" class="reference internal" href="#trace-filtering-and-telemetry">Trace Filtering and Telemetry</a></li>
<li><a :data-current="activeSection === '#best-practices'" class="reference internal" href="#best-practices">Best Practices</a></li>
<li><a :data-current="activeSection === '#limitations-and-considerations'" class="reference internal" href="#limitations-and-considerations">Limitations and Considerations</a></li>
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