feat: add outer loop Phase 3 — Designer Agent (dual mode) - #1261
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akashgit wants to merge 14 commits into
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feat: add outer loop Phase 3 — Designer Agent (dual mode)#1261akashgit wants to merge 14 commits into
akashgit wants to merge 14 commits into
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…ialization Closes #1257 - Add factory/outer_loop/ module with Pydantic v2 strict models for evolutionary search (Individual, SwarmConfig, OuterLoopState, etc.) - Implement 6 graph mutation operators (insert, remove, redirect, parallelize, serialize, param_mutate) with MutationStrategy protocol - Add Population and MAPElitesArchive with tournament selection and Pareto front computation - Add structural hashing, graph edit distance, feature extraction, and NoveltyFilter for deduplication - Add Workflow.to_dict()/from_dict() for round-trip serialization with _type discriminators - 85 tests covering all components Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…verfit detection SwarmEngine: seed population from base workflow + random mutations, evolve_generation with tournament selection + mutation via MutationStrategy, run() with budget exhaustion / target score / plateau termination, post-evolution holdout audit via OverfitDetector. SwarmEvaluator: pluggable EvaluatorFn protocol, FitnessCache keyed by (structural_hash, frozenset(instances)), multi-metric fitness composition (0.6*benchmark + 0.2*hygiene + 0.1*(1-cost) + 0.1*(1-complexity)), mandatory component and frozen node enforcement. SubsetSelector protocol + FixedSubsetSelector. OverfitDetector: flags overfit when (train-holdout)/train > 15%. BudgetTracker: warnings at 80% and 95%. WeightedRandomStrategy.on_plateau() increases mutation rate 0.3→0.5. New models: EvalResult, AuditResult, OuterLoopResult. 129 tests passing, ruff clean, mypy clean. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…ation Add DesignerAgent with dual mode: - Design mode: design_minimal (3 nodes), design_thorough (10 nodes), design_custom (constrained) — all produce valid Workflow objects - Mutation mode: propose() returns targeted MutationRecords based on failure telemetry (high failure rate → remove, timeout → increase, low diversity → insert new role) Add extract_telemetry() for structured diagnostics from EvalResult. Integrate with SwarmEngine.seed(): designer_count controls how many from-scratch designs are added to the initial population alongside random mutations of the seed workflow. 163 tests pass (34 new + 129 existing). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Sentrux Quality ReportAbsoluteDiff (vs base branch) |
Codecov Report❌ Patch coverage is Additional details and impacted files@@ Coverage Diff @@
## main #1261 +/- ##
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+ Coverage 86.34% 86.57% +0.22%
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Files 211 221 +10
Lines 23054 24112 +1058
Branches 3627 3815 +188
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+ Hits 19906 20874 +968
- Misses 2308 2345 +37
- Partials 840 893 +53 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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…graph, e2e tests Add CLI args (--benchmark, --budget, --population, --target-score, --seed, --training-instances, --holdout-instances) for outer-loop mode. Register outer-loop in CEO_MODES, RUN_MODES, and workflow registry. Add filesystem module for checkpoint/export persistence and workflow graph definition. 196 tests pass, lint and type checks clean. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…Bench Wire the outer loop's SwarmEvaluator to run FeatureBench via Harbor by adding a HarborEvaluator that implements the EvaluatorFn protocol. For each instance, it invokes run-harbor.sh with the workflow's prompt slots serialized as a YAML annotation surface via FACTORY_WORKFLOW_YAML_B64. - harbor_evaluator.py: HarborEvaluator class, create_seed_workflow() (4-node: researcher → builder → health_checker → gate), and workflow_to_harbor_yaml() for Workflow → YAML surface conversion - run_evolution.py: standalone CLI script for running the evolutionary search loop (python -m factory.outer_loop.run_evolution) - 22 tests covering seed workflow creation, YAML serialization, evaluator protocol conformance, and result parsing Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…nch containers Docker containers used by FeatureBench tasks ship with mirrors.aliyun.com apt sources that have invalid GPG signatures, causing apt-get update to fail. Replace these mirrors with archive.ubuntu.com before running apt-get update. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…n FeatureBench containers The previous mirror fix wasn't enough — the Docker containers also have corrupted/outdated GPG keyrings. Remove them and use --allow-unauthenticated as a fallback to unblock apt-get install. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…h containers Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Containers with curl, git, and procps pre-installed were failing because apt-get tried to upgrade them with no free disk space in /var/cache/apt/archives/. Now checks if curl and git exist first and skips the entire apt block if so. When install IS needed, uses --no-install-recommends and || true to minimize disk usage and tolerate partial failures. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Three-step architecture that avoids installing agents in Docker containers: 1. Extract /testbed/ from Docker image to a local temp dir 2. Run factory agents directly on the host against the extracted testbed 3. Copy modified testbed back into Docker and run test.sh for verification Updates run_evolution.py to use DirectFeatureBenchEvaluator by default. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The test.sh guardrail checks git baseline state against /tmp/image_baseline_status.txt inside the Docker image, which fails when the testbed is volume-mounted from the host with different git state. Replace the test.sh approach with direct pytest execution: 1. Reverse-apply test_patch.diff on the host testbed to restore deleted test files (lv1 tasks delete tests during setup) 2. Parse test.sh for install command and P2P regression test args 3. Run pytest directly in Docker, checking exit code for pass/fail Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…erification Bind mounts don't work reliably when running amd64 Docker images on arm64 hosts. Replace `docker run -v` with create → cp → start → exec pattern so the modified testbed is copied into the container filesystem. Also: use /tmp/ prefix for temp dirs (more portable than /var/folders/), add --color=no to pytest for cleaner log output, and pipe install output through tail to reduce noise. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…conflicts docker cp fails with "cannot overwrite directory with non-directory" when the testbed contains symlinks (e.g. tests/pydantic_core -> ../pydantic-core/tests) that resolve to directories already present in the container. Instead of copying the entire testbed, use git diff --name-only HEAD and git ls-files --others to find only agent-modified files and copy each individually. This avoids symlink issues entirely and is faster. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…r gen - direct_evaluator.py: add --disallowedTools WebSearch,WebFetch to agent invocations - engine.py: add holdout evaluation at end of each generation - models.py: add holdout_score field to GenerationSummary - uv.lock: dependency update These are partial/untested changes from the first experiment analysis. See issue #1272 for the full fix plan. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
extract_telemetry()— structured diagnostics fromEvalResult(per-node stats, dominant failure mode, scores, cost)SwarmEngine.seed()now adds designer-created variants for architectural diversity in the initial population (controlled bydesigner_countinSwarmConfig)Relates to #1257
Changes
factory/outer_loop/designer.py— new module withDesignerAgentclass andextract_telemetry()functionfactory/outer_loop/engine.py— updatedSwarmEngine.__init__to acceptdesignerparam,seed()refactored to allocate slots for designer variants via_add_designer_variants()factory/outer_loop/__init__.py— exportsDesignerAgentandextract_telemetrytests/test_outer_loop/test_designer.py— 22 tests for design_minimal, design_thorough, design_custom, proposetests/test_outer_loop/test_seed_diversity.py— 6 tests for seed population with designer variantstests/test_outer_loop/test_telemetry.py— 6 tests for telemetry extractiontests/test_outer_loop/test_engine.py— fixedtest_seed_slot_zero_is_originalto passdesigner_count=0