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fix/680-py
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fix/issue-
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| 0c18534076 |
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#!/usr/bin/env python3
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"""
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Full Nostr agent-to-agent communication demo - FINAL WORKING
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"""
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#!/usr/bin/env python3
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"""
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Soul Eval Gate — The Conscience of the Training Pipeline
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79
reports/pr-backlog-action-plan-2026-04-14.md
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79
reports/pr-backlog-action-plan-2026-04-14.md
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# PR Backlog Action Plan — 2026-04-14
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**Generated from:** #658 (PR Backlog Analysis)
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**Total Open PRs:** 27
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## Auto-Merge Candidates (Training Data — 14 PRs)
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These are data-only changes. If tests pass, merge.
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| PR | Issue | Content | Action |
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|----|-------|---------|--------|
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| #656 | #596 | 500 visual scene pairs | Auto-merge if green |
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| #649 | #598 | 500 crisis manipulation pairs | Auto-merge if green |
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| #648 | #605 | 500 video scene pairs | Auto-merge if green |
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| #644 | #604 | 500 game asset pairs | Auto-merge if green |
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| #643 | #603 | 500 emotional weather pairs | Auto-merge if green |
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| #642 | #610 | 100 folk scene descriptions | Auto-merge if green |
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| #641 | (none) | 100 pop lyrics-to-scene | Needs issue ref |
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| #640 | #615 | 100 metal scene descriptions | Auto-merge if green |
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| #639 | #601 | 500 music mood pairs | Auto-merge if green |
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| #638 | #597 | Crisis signal pairs | Auto-merge if green |
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| #637 | #612 | 100 classical scene descriptions | Auto-merge if green |
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| #636 | (none) | 100 jazz scene descriptions | Needs issue ref |
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| #635 | #609 | 100 electronic scene descriptions | Auto-merge if green |
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| #631 | #613 | 100 R&B/Soul scene descriptions | Auto-merge if green |
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| #630 | #607 | 100 rock scene descriptions | Auto-merge if green |
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## Bug Fixes Requiring Review (6 PRs)
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| PR | References | Concern |
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|----|------------|---------|
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| #565 | #561 (refs closed #558) | May reference stale issue |
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| #562 | #483 | Local-first fallbacks — needs review |
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| #560 | #492 | Gitea a11y fixes V3-V5 |
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| #559 | #492 | Gitea a11y fixes R1-R4 |
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| #557 | #484 | OR operator stripping |
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| (1 more) | — | Needs identification |
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**Action:** Assign reviewers. Prioritize #565 for staleness check.
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## Features Requiring Review (5 PRs)
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| PR | Issue | Priority |
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|----|-------|----------|
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| #653 | #617 | Value-violations adversary suite |
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| #651 | — | Nightly Pipeline Scheduler |
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| #633 | — | Token budget tracker |
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| #626 | #621 | Shared orchestrator |
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| #625 | #623 | Quality Gate |
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**Action:** Prioritize #625 (Quality Gate) and #626 (Shared Orchestrator) — pipeline improvements.
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## Other (2 PRs)
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| PR | Notes |
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|----|-------|
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| #654 | Identity attacks corpus |
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| #568 | Enhanced meaning kernel extraction |
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## Recommended Actions
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1. **Merge training data PRs** (14) — low risk, data-only
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2. **Close or update #565** — references closed issue #558
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3. **Assign reviewers** to bug fixes and features
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4. **Create issue** for PRs #641 and #636 (missing issue references)
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5. **Prioritize** #625, #626 for pipeline infrastructure
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## Triage Summary
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```
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Ready to merge: 14 (training data)
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Needs review: 11 (bugs + features + other)
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Needs issue ref: 2 (#641, #636)
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Stale reference: 1 (#565)
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```
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---
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*Generated by PR triage analysis. Ref: #658.*
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@@ -1,4 +1,3 @@
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#!/usr/bin/env python3
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import json
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from hermes_tools import browser_navigate, browser_vision
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@@ -1,4 +1,3 @@
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#!/usr/bin/env python3
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import json
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from hermes_tools import browser_navigate, browser_vision
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@@ -1,4 +1,3 @@
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#!/usr/bin/env python3
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import json
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from hermes_tools import browser_navigate, browser_vision
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@@ -15,7 +15,6 @@
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MODEL ?= timmy:v0.1-q4
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BASELINE ?= hermes3:latest
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OLLAMA_URL ?= http://localhost:11434
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PYTHON ?= python3
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OUTPUT ?= output
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# ── Training ──────────────────────────────────────────────────────────
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@@ -24,7 +23,7 @@ train-cloud: ## QLoRA fine-tune on cloud GPU (Axolotl)
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axolotl train axolotl.yaml
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train-local: ## LoRA fine-tune on Apple Silicon (MLX)
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$(PYTHON) -m mlx_lm.lora --config mlx-lora.yaml
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python -m mlx_lm.lora --config mlx-lora.yaml
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# ── Evaluation ────────────────────────────────────────────────────────
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@@ -46,7 +45,7 @@ vibes: ## Run vibes check — hand-picked prompts, human review
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@echo "Date: $$(date '+%Y-%m-%d %H:%M')" > $(OUTPUT)/vibes-$(MODEL).md
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@echo "Model: $(MODEL)" >> $(OUTPUT)/vibes-$(MODEL).md
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@echo "" >> $(OUTPUT)/vibes-$(MODEL).md
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@$(PYTHON) -c "\
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@python -c "\
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import yaml, subprocess, sys; \
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prompts = yaml.safe_load(open('data/prompts_vibes.yaml'))['prompts']; \
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f = open('$(OUTPUT)/vibes-$(MODEL).md', 'a'); \
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@@ -70,19 +69,19 @@ vibes: ## Run vibes check — hand-picked prompts, human review
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# ── Data Pipeline ─────────────────────────────────────────────────────
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ingest: ## Pull heartbeat trajectories into training data
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$(PYTHON) ingest_trajectories.py \
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python ingest_trajectories.py \
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--trajectories ~/.nexus/trajectories/ \
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--curated data/curated_dataset.jsonl \
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--output data/merged_training_data.jsonl
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@echo "Merged dataset ready. Convert for MLX with: make convert"
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curated: ## Regenerate curated exemplar dataset
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$(PYTHON) build_curated.py
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python build_curated.py
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@echo "Curated dataset regenerated."
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convert: ## Convert merged dataset to MLX format (train/valid split)
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@mkdir -p data/mlx_curated
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$(PYTHON) -c "\
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python -c "\
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import json; \
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lines = open('data/merged_training_data.jsonl').readlines(); \
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sessions = [json.loads(l) for l in lines]; \
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Reference in New Issue
Block a user