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<h1 id="adr-016-cost-efficiency-ranking-algorithm"><a class="header" href="#adr-016-cost-efficiency-ranking-algorithm">ADR-016: Cost Efficiency Ranking Algorithm</a></h1>
<p><strong>Status</strong>: Accepted | Implemented
<strong>Date</strong>: 2024-11-01
<strong>Deciders</strong>: Cost Architecture Team
<strong>Technical Story</strong>: Ranking LLM providers by quality-to-cost ratio to prevent cost overfitting</p>
<hr />
<h2 id="decision"><a class="header" href="#decision">Decision</a></h2>
<p>Implementar <strong>Cost Efficiency Ranking</strong> con fórmula <code>efficiency = (quality_score * 100) / (cost_cents + 1)</code>.</p>
<hr />
<h2 id="rationale"><a class="header" href="#rationale">Rationale</a></h2>
<ol>
<li><strong>Prevents Cost Overfitting</strong>: No preferir siempre provider más barato (quality importa)</li>
<li><strong>Balances Quality and Cost</strong>: Fórmula explícita que combina ambas dimensiones</li>
<li><strong>Handles Zero-Cost</strong>: <code>+ 1</code> evita division-by-zero para Ollama ($0)</li>
<li><strong>Normalized Scale</strong>: Scores comparables entre providers</li>
</ol>
<hr />
<h2 id="alternatives-considered"><a class="header" href="#alternatives-considered">Alternatives Considered</a></h2>
<h3 id="-quality-only-ignore-cost"><a class="header" href="#-quality-only-ignore-cost">❌ Quality Only (Ignore Cost)</a></h3>
<ul>
<li><strong>Pros</strong>: Highest quality</li>
<li><strong>Cons</strong>: Unbounded costs</li>
</ul>
<h3 id="-cost-only-ignore-quality"><a class="header" href="#-cost-only-ignore-quality">❌ Cost Only (Ignore Quality)</a></h3>
<ul>
<li><strong>Pros</strong>: Lowest cost</li>
<li><strong>Cons</strong>: Poor quality results</li>
</ul>
<h3 id="-qualitycost-ratio-chosen"><a class="header" href="#-qualitycost-ratio-chosen">✅ Quality/Cost Ratio (CHOSEN)</a></h3>
<ul>
<li>Balances both dimensions mathematically</li>
</ul>
<hr />
<h2 id="trade-offs"><a class="header" href="#trade-offs">Trade-offs</a></h2>
<p><strong>Pros</strong>:</p>
<ul>
<li>✅ Single metric for comparison</li>
<li>✅ Prevents cost overfitting</li>
<li>✅ Prevents quality overfitting</li>
<li>✅ Handles zero-cost providers</li>
<li>✅ Easy to understand and explain</li>
</ul>
<p><strong>Cons</strong>:</p>
<ul>
<li>⚠️ Formula is simplified (assumes linear quality/cost)</li>
<li>⚠️ Quality scores must be comparable across providers</li>
<li>⚠️ May not capture all cost factors (latency, tokens)</li>
</ul>
<hr />
<h2 id="implementation"><a class="header" href="#implementation">Implementation</a></h2>
<p><strong>Quality Scores (Baseline)</strong>:</p>
<pre><pre class="playground"><code class="language-rust"><span class="boring">#![allow(unused)]
</span><span class="boring">fn main() {
</span>// crates/vapora-llm-router/src/cost_ranker.rs
pub struct ProviderQuality {
provider: String,
model: String,
quality_score: f32, // 0.0 - 1.0
}
pub const QUALITY_SCORES: &amp;[ProviderQuality] = &amp;[
ProviderQuality {
provider: "claude",
model: "claude-opus",
quality_score: 0.95, // Best reasoning
},
ProviderQuality {
provider: "openai",
model: "gpt-4",
quality_score: 0.92, // Excellent code generation
},
ProviderQuality {
provider: "gemini",
model: "gemini-2.0-flash",
quality_score: 0.88, // Good balance
},
ProviderQuality {
provider: "ollama",
model: "llama2",
quality_score: 0.75, // Lower quality (local)
},
];
<span class="boring">}</span></code></pre></pre>
<p><strong>Cost Efficiency Calculation</strong>:</p>
<pre><pre class="playground"><code class="language-rust"><span class="boring">#![allow(unused)]
</span><span class="boring">fn main() {
</span>pub struct CostEfficiency {
provider: String,
quality_score: f32,
cost_cents: u32,
efficiency_score: f32,
}
impl CostEfficiency {
pub fn calculate(
provider: &amp;str,
quality: f32,
cost_cents: u32,
) -&gt; f32 {
(quality * 100.0) / ((cost_cents as f32) + 1.0)
}
pub fn from_provider(
provider: &amp;str,
quality: f32,
cost_cents: u32,
) -&gt; Self {
let efficiency = Self::calculate(provider, quality, cost_cents);
Self {
provider: provider.to_string(),
quality_score: quality,
cost_cents,
efficiency_score: efficiency,
}
}
}
// Examples:
// Claude Opus: quality=0.95, cost=50¢ → efficiency = (0.95*100)/(50+1) = 1.86
// GPT-4: quality=0.92, cost=30¢ → efficiency = (0.92*100)/(30+1) = 2.97
// Gemini: quality=0.88, cost=5¢ → efficiency = (0.88*100)/(5+1) = 14.67
// Ollama: quality=0.75, cost=0¢ → efficiency = (0.75*100)/(0+1) = 75.0
<span class="boring">}</span></code></pre></pre>
<p><strong>Ranking by Efficiency</strong>:</p>
<pre><pre class="playground"><code class="language-rust"><span class="boring">#![allow(unused)]
</span><span class="boring">fn main() {
</span>pub async fn rank_providers_by_efficiency(
providers: &amp;[LLMClient],
task_type: &amp;str,
) -&gt; Result&lt;Vec&lt;(String, f32)&gt;&gt; {
let mut efficiencies = Vec::new();
for provider in providers {
let quality = get_quality_for_task(&amp;provider.id, task_type)?;
let cost_per_token = provider.cost_per_token();
let estimated_tokens = estimate_tokens_for_task(task_type);
let total_cost_cents = (cost_per_token * estimated_tokens as f64) as u32;
let efficiency = CostEfficiency::calculate(
&amp;provider.id,
quality,
total_cost_cents,
);
efficiencies.push((provider.id.clone(), efficiency));
}
// Sort by efficiency descending
efficiencies.sort_by(|a, b| {
b.1.partial_cmp(&amp;a.1).unwrap_or(std::cmp::Ordering::Equal)
});
Ok(efficiencies)
}
<span class="boring">}</span></code></pre></pre>
<p><strong>Provider Selection with Efficiency</strong>:</p>
<pre><pre class="playground"><code class="language-rust"><span class="boring">#![allow(unused)]
</span><span class="boring">fn main() {
</span>pub async fn select_best_provider_by_efficiency(
task: &amp;Task,
available_providers: &amp;[LLMClient],
) -&gt; Result&lt;&amp;'_ LLMClient&gt; {
let ranked = rank_providers_by_efficiency(available_providers, &amp;task.task_type).await?;
// Return highest efficiency
ranked
.first()
.and_then(|(provider_id, _)| {
available_providers.iter().find(|p| p.id == *provider_id)
})
.ok_or(Error::NoProvidersAvailable)
}
<span class="boring">}</span></code></pre></pre>
<p><strong>Efficiency Metrics</strong>:</p>
<pre><pre class="playground"><code class="language-rust"><span class="boring">#![allow(unused)]
</span><span class="boring">fn main() {
</span>pub async fn report_efficiency(
db: &amp;Surreal&lt;Ws&gt;,
) -&gt; Result&lt;String&gt; {
// Query: execution history with cost and quality
let query = r#"
SELECT
provider,
avg(quality_score) as avg_quality,
avg(cost_cents) as avg_cost,
(avg(quality_score) * 100) / (avg(cost_cents) + 1) as avg_efficiency
FROM executions
WHERE timestamp &gt; now() - 1d -- Last 24 hours
GROUP BY provider
ORDER BY avg_efficiency DESC
"#;
let results = db.query(query).await?;
Ok(format_efficiency_report(results))
}
<span class="boring">}</span></code></pre></pre>
<p><strong>Key Files</strong>:</p>
<ul>
<li><code>/crates/vapora-llm-router/src/cost_ranker.rs</code> (efficiency calculations)</li>
<li><code>/crates/vapora-llm-router/src/router.rs</code> (provider selection)</li>
<li><code>/crates/vapora-backend/src/services/</code> (cost analysis)</li>
</ul>
<hr />
<h2 id="verification"><a class="header" href="#verification">Verification</a></h2>
<pre><code class="language-bash"># Test efficiency calculation with various costs
cargo test -p vapora-llm-router test_cost_efficiency_calculation
# Test zero-cost handling (Ollama)
cargo test -p vapora-llm-router test_zero_cost_efficiency
# Test provider ranking by efficiency
cargo test -p vapora-llm-router test_provider_ranking_efficiency
# Test efficiency comparison across providers
cargo test -p vapora-llm-router test_efficiency_comparison
# Integration: select best provider by efficiency
cargo test -p vapora-llm-router test_select_by_efficiency
</code></pre>
<p><strong>Expected Output</strong>:</p>
<ul>
<li>Claude Opus ranked well despite higher cost (quality offset)</li>
<li>Ollama ranked very high (zero cost, decent quality)</li>
<li>Gemini ranked between (good efficiency)</li>
<li>GPT-4 ranked based on balanced cost/quality</li>
<li>Rankings consistent across multiple runs</li>
</ul>
<hr />
<h2 id="consequences"><a class="header" href="#consequences">Consequences</a></h2>
<h3 id="cost-optimization"><a class="header" href="#cost-optimization">Cost Optimization</a></h3>
<ul>
<li>Prevents pure cost minimization (quality matters)</li>
<li>Prevents pure quality maximization (cost matters)</li>
<li>Balanced strategy emerges</li>
</ul>
<h3 id="provider-selection"><a class="header" href="#provider-selection">Provider Selection</a></h3>
<ul>
<li>No single provider always selected (depends on task)</li>
<li>Ollama used frequently (high efficiency)</li>
<li>Premium providers used for high-quality tasks only</li>
</ul>
<h3 id="reporting"><a class="header" href="#reporting">Reporting</a></h3>
<ul>
<li>Efficiency metrics tracked over time</li>
<li>Identify providers underperforming cost-wise</li>
<li>Guide budget allocation</li>
</ul>
<h3 id="monitoring"><a class="header" href="#monitoring">Monitoring</a></h3>
<ul>
<li>Alert if efficiency drops for any provider</li>
<li>Track efficiency trends</li>
<li>Recommend provider switches if efficiency improves</li>
</ul>
<hr />
<h2 id="references"><a class="header" href="#references">References</a></h2>
<ul>
<li><code>/crates/vapora-llm-router/src/cost_ranker.rs</code> (implementation)</li>
<li><code>/crates/vapora-llm-router/src/router.rs</code> (usage)</li>
<li>ADR-007 (Multi-Provider LLM)</li>
<li>ADR-015 (Budget Enforcement)</li>
</ul>
<hr />
<p><strong>Related ADRs</strong>: ADR-007 (Multi-Provider), ADR-015 (Budget), ADR-012 (Routing Tiers)</p>
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