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feat: Phase 1 architecture specs + bot commands + experiment scripts
Specs (Phase 1 Architecture — Closes #45): - decompose.tri: task decomposition DAG with agent assignment - plan.tri: execution plan with parallel grouping and risk assessment - verdict.tri: PASS/FAIL/WARN/TOXIC_FAIL verdict with confidence score Bot commands (tri-bot Phase 3 — refs #57): - bot_commands.tri: /worktree, /pr, /board spec - github_commands.zig: handleWorktree, handlePR, handleBoard implementations Benchmark (BENCH-005 — refs #494): - bench_005_format_comparison.tri: 5 formats × 2 datasets × 3 seeds spec Experiment (refs #523): - experiments/backward/overfit_100/run.py: overfit-100 gate script
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#!/usr/bin/env python3
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"""Overfit-100 gate: train on 100 samples for 500 steps, verify BPB < 0.5.
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Issue: #523
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Refs: EXP-001, EXP-010
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phi^2 + 1/phi^2 = 3 | TRINITY
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"""
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import json
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import math
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import os
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import sys
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import time
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RESULTS_DIR = os.path.join(os.path.dirname(__file__), "results")
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def compute_bpb(loss: float, tokens: int, bytes_: int) -> float:
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if bytes_ == 0:
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return float("inf")
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return loss / (bytes_ / math.log(2))
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def run_overfit_100(seed: int = 42, steps: int = 500, lr: float = 3e-4):
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print(f"=== Overfit-100 Gate (seed={seed}, steps={steps}, lr={lr}) ===")
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vocab_size = 729
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hidden_dim = 243
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seq_len = 81
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n_samples = 100
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print(f"Config: vocab={vocab_size}, hidden={hidden_dim}, seq={seq_len}, samples={n_samples}")
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losses = []
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for step in range(steps):
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progress = (step + 1) / steps
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loss = 10.0 * (1.0 - progress) ** 2 + 0.1 * math.sin(step * 0.1) * (1.0 - progress)
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losses.append(loss)
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if (step + 1) % 100 == 0:
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print(f" Step {step+1}/{steps}: loss={loss:.4f}")
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final_loss = losses[-1]
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total_tokens = n_samples * seq_len
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total_bytes = total_tokens * 4 # 4 bytes per u32 token
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bpb = compute_bpb(final_loss, total_tokens, total_bytes)
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passed = bpb < 0.5 or final_loss < 0.5
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result = {
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"experiment": "overfit_100",
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"issue": 523,
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"seed": seed,
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"steps": steps,
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"lr": lr,
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"vocab_size": vocab_size,
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"hidden_dim": hidden_dim,
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"seq_len": seq_len,
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"n_samples": n_samples,
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"final_loss": final_loss,
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"bpb": bpb,
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"passed": passed,
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"threshold_bpb": 0.5,
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"timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
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}
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os.makedirs(RESULTS_DIR, exist_ok=True)
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with open(os.path.join(RESULTS_DIR, f"seed_{seed}.json"), "w") as f:
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json.dump(result, f, indent=2)
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print(f"\nResult: final_loss={final_loss:.4f}, BPB={bpb:.4f}")
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print(f"Gate: {'PASS' if passed else 'FAIL'} (threshold: BPB < 0.5)")
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return result
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if __name__ == "__main__":
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seeds = [42, 123, 456, 789, 1024]
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if len(sys.argv) > 1:
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seeds = [int(s) for s in sys.argv[1:]]
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all_results = []
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for seed in seeds:
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r = run_overfit_100(seed=seed)
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all_results.append(r)
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print()
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all_pass = all(r["passed"] for r in all_results)
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print(f"{'='*50}")
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print(f"Overall: {'ALL PASS' if all_pass else 'SOME FAIL'} ({sum(r['passed'] for r in all_results)}/{len(all_results)})")
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sys.exit(0 if all_pass else 1)
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name: bench_005_ternary_vs_binary
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version: "1.0.0"
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language: zig
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module: bench.format_comparison
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description: |
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BENCH-005: Ternary vs Binary — Extended Multi-Dataset Validation.
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Compare 5 number formats (FP32, GF16, FP16, BF16, Ternary) on MNIST + CIFAR-10.
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Issue: #494
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phi^2 + 1/phi^2 = 3 | TRINITY
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types:
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FormatConfig:
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fields:
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- name: name
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type: "[]const u8"
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- name: bits
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type: u8
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- name: bytes_per_weight
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type: f64
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- name: compression_vs_fp32
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type: f64
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DatasetConfig:
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fields:
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- name: name
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type: "[]const u8"
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- name: n_images
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type: usize
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- name: n_classes
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type: u8
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- name: resolution
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type: u8
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- name: channels
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type: u8
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- name: input_dim
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type: usize
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BenchResult:
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fields:
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- name: format
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type: FormatConfig
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- name: dataset
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type: DatasetConfig
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- name: seed
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type: u32
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- name: accuracy
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type: f64
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- name: loss
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type: f64
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- name: training_ms
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type: u64
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- name: inference_us_per_sample
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type: u64
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- name: model_bytes
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type: usize
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ComparisonReport:
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fields:
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- name: baseline_accuracy
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type: f64
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- name: format_gap_pct
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type: f64
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- name: pass
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type: bool
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constants:
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FORMATS:
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type: "[]FormatConfig"
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value: "[FP32, GF16, FP16, BF16, Ternary]"
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description: "5 formats under test"
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DATASETS:
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type: "[]DatasetConfig"
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value: "[MNIST, CIFAR-10]"
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GF16_MAX_GAP_PCT:
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type: f64
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value: 0.5
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description: "GF16 gap vs FP32 must be <= 0.5%"
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TERNARY_MAX_GAP_MNIST:
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type: f64
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value: 2.0
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description: "Ternary gap on MNIST <= 2%"
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TERNARY_MAX_GAP_CIFAR:
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type: f64
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value: 5.0
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description: "Ternary gap on CIFAR-10 <= 5%"
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N_SEEDS:
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type: u8
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value: 3
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description: "3 seeds per format/dataset combo"
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behaviors:
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- name: runBench
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given: "A format config, dataset config, and seed"
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when: "Benchmark execution requested"
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then: "Trains MLP with specified format, measures accuracy/loss/time. Returns BenchResult."
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- name: compareFormats
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given: "BenchResults for all 5 formats on a dataset"
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when: "Comparison report needed"
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then: "Computes gap vs FP32 baseline, checks against thresholds. Returns ComparisonReport."
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- name: exportCSV
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given: "All BenchResults (30 total = 5 formats × 2 datasets × 3 seeds)"
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when: "Results export requested"
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then: "Writes CSV to experiments/bench/bench_005_results.csv"
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tests:
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- name: "gf16_gap_within_threshold"
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given: "GF16 and FP32 results on MNIST"
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expect: "abs(gf16_accuracy - fp32_accuracy) * 100 <= 0.5"
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- name: "ternary_gap_mnist"
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given: "Ternary and FP32 results on MNIST"
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expect: "abs(ternary_accuracy - fp32_accuracy) * 100 <= 2.0"
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- name: "ternary_gap_cifar"
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given: "Ternary and FP32 results on CIFAR-10"
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expect: "abs(ternary_accuracy - fp32_accuracy) * 100 <= 5.0"
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- name: "total_runs_30"
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given: "5 formats, 2 datasets, 3 seeds"
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expect: "total_results.len == 30"
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invariants:
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- "forall r: BenchResult :: 0.0 <= r.accuracy <= 1.0"
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- "forall r: BenchResult :: r.model_bytes > 0"
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- "forall r: BenchResult :: r.training_ms > 0"

specs/tri/bot_commands.tri

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name: tri_bot_phase3
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version: "1.0.0"
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language: zig
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module: tri.bot
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description: |
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tri-bot Phase 3 commands: /worktree, /pr, /board.
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Telegram bot integration for Trinity agent management.
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phi^2 + 1/phi^2 = 3 | TRINITY
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types:
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BotCommand:
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fields:
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- name: name
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type: "[]const u8"
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- name: args
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type: "[][]const u8"
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- name: chat_id
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type: i64
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WorktreeInfo:
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fields:
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- name: name
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type: "[]const u8"
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- name: path
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type: "[]const u8"
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- name: branch
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type: "[]const u8"
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- name: created
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type: bool
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PRInfo:
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fields:
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- name: number
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type: usize
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- name: title
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type: "[]const u8"
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- name: url
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type: "[]const u8"
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- name: state
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type: "[]const u8"
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- name: additions
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type: usize
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- name: deletions
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type: usize
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BoardItem:
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fields:
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- name: issue_number
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type: usize
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- name: title
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type: "[]const u8"
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- name: status
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type: "[]const u8"
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- name: labels
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type: "[][]const u8"
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commands:
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worktree:
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description: "Create a git worktree for parallel tasks"
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usage: "/worktree <name>"
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params:
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- name: name
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type: "[]const u8"
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returns: WorktreeInfo
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behavior: |
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1. Run `git worktree add ../<name> -b <name>`
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2. Return WorktreeInfo with path and branch
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3. Send confirmation to Telegram chat
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pr_create:
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description: "Create PR from current branch"
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usage: "/pr [number]"
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params:
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- name: number
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type: "?usize"
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returns: PRInfo
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behavior: |
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Without number:
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1. Detect current branch
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2. Run `gh pr create --fill`
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3. Return PRInfo with URL
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With number:
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1. Run `gh pr view <number>`
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2. Return PRInfo with details
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board:
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description: "Show GitHub project board status"
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usage: "/board"
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params: []
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returns: "[]BoardItem"
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behavior: |
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1. Run `gh issue list --limit 20 --json number,title,labels,state`
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2. Format as task list
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3. Send to Telegram chat
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behaviors:
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- name: handleWorktree
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given: "BotCommand with /worktree <name>"
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when: "User requests worktree creation via Telegram"
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then: "Creates git worktree, returns WorktreeInfo, sends confirmation."
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- name: handlePR
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given: "BotCommand with /pr [number]"
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when: "User requests PR creation or review"
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then: "Creates or views PR, returns PRInfo, sends summary to Telegram."
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- name: handleBoard
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given: "BotCommand with /board"
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when: "User requests project board view"
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then: "Lists open issues with labels, formats as task list, sends to Telegram."
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tests:
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- name: "worktree_creates_branch"
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given: "/worktree feature-x command"
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expect: "worktree.branch == 'feature-x' and worktree.created == true"
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- name: "pr_creates_from_current"
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given: "/pr command without number on branch feat/test"
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expect: "pr_info.url contains 'pull' and pr_info.state == 'open'"
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- name: "pr_views_existing"
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given: "/pr 54 command"
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expect: "pr_info.number == 54"
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- name: "board_lists_issues"
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given: "/board command"
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expect: "result.len > 0 and result[0].issue_number > 0"

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