feat(topology): runnable multi-topology benchmark example
`cargo run -p cm-orchestrator --example topology_bench --features provider` runs one task across hierarchical/pipeline/swarm topologies and prints a leaderboard + quality/cost Pareto front. Offline-deterministic via the scripted provider; set ANTHROPIC_API_KEY to run against a real model. Demonstrates milestone B end-to-end and seeds the reproducible paper harness. Co-Authored-By: Claude Opus 4.8 <[email protected]>
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Claude Opus 4.8
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//! Runnable multi-topology benchmark — the reproducible "paper harness" seed.
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//!
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//! Runs one task across several topologies on the same executor and prints a
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//! leaderboard + quality/cost Pareto front.
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//!
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//! ```text
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//! cargo run -p cm-orchestrator --example topology_bench --features provider
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//! ```
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//!
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//! Offline + deterministic by default (the scripted provider). Set
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//! `ANTHROPIC_API_KEY` to run against a real model instead. The quality scorer
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//! here is a deterministic length proxy; swap in `cm_orchestrator::JudgeScorer`
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//! for real LLM-judged quality.
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use std::sync::Arc;
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use cm_llm::LlmProvider;
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use cm_orchestrator::{compare, ProviderExecutor, RunRecord, Scorer};
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use cm_topology::{Edge, EdgeKind, Node, TopologyGraph, TopologyKind};
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/// Deterministic quality proxy: richer (longer) output scores higher.
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struct LengthScorer;
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impl Scorer for LengthScorer {
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async fn score(&self, _task: &str, record: &RunRecord) -> f64 {
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(record.final_output.len() as f64 / 400.0).min(1.0)
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}
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}
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fn node(id: &str, role: &str) -> Node {
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Node::new(id, role)
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}
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fn hierarchical() -> TopologyGraph {
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TopologyGraph::new(
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TopologyKind::Hierarchical,
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vec![node("lead", "coordinator"), node("w1", "researcher"), node("w2", "writer")],
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vec![
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Edge { from: "lead".into(), to: "w1".into(), kind: EdgeKind::DelegatesTo },
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Edge { from: "lead".into(), to: "w2".into(), kind: EdgeKind::DelegatesTo },
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],
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)
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.unwrap()
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}
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fn pipeline() -> TopologyGraph {
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TopologyGraph::new(
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TopologyKind::Pipeline,
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vec![node("a", "researcher"), node("b", "analyst"), node("c", "writer")],
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vec![
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Edge { from: "a".into(), to: "b".into(), kind: EdgeKind::PipesTo },
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Edge { from: "b".into(), to: "c".into(), kind: EdgeKind::PipesTo },
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],
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)
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.unwrap()
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}
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fn swarm() -> TopologyGraph {
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TopologyGraph::new(
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TopologyKind::Swarm,
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vec![node("a", "writer"), node("b", "writer"), node("lead", "coordinator")],
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vec![],
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)
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.unwrap()
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}
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#[tokio::main]
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async fn main() {
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let (provider, model): (Arc<dyn LlmProvider>, String) =
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match std::env::var("ANTHROPIC_API_KEY") {
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Ok(key) if !key.is_empty() => {
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(Arc::new(cm_llm::AnthropicProvider::new(key)), "claude-sonnet-4-6".to_string())
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}
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_ => (
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Arc::new(cm_llm::ScriptedProvider::from_toml("").unwrap()),
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"scripted".to_string(),
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),
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};
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let executor = ProviderExecutor::new(provider, model.clone(), 512);
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let task = "Draft a go-to-market launch plan for a new product.";
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let graphs = vec![hierarchical(), pipeline(), swarm()];
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let cmp = compare(&graphs, task, &executor, &LengthScorer)
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.await
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.expect("comparison failed");
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println!("provider: {model}");
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println!("task: {task}\n");
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println!(
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"{:<14} {:>8} {:>8} {:>6} {:>7}",
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"topology", "quality", "tokens", "turns", "pareto"
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);
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println!("{}", "-".repeat(46));
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for r in &cmp.results {
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println!(
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"{:<14} {:>8.2} {:>8} {:>6} {:>7}",
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format!("{:?}", r.kind),
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r.quality,
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r.tokens,
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r.turns,
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if r.on_pareto { "*" } else { "" }
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);
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}
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println!();
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if let Some(i) = cmp.best_quality {
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println!("best quality: {:?}", cmp.results[i].kind);
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}
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if let Some(i) = cmp.best_value {
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println!("best value: {:?} (quality per token)", cmp.results[i].kind);
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}
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}
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