Commit Graph

15 Commits

Author SHA1 Message Date
Alpamys 0034628b03 docs: drop internal Part A/B/C/D/E labels from public docs
"Part A/B/C/D/E" is our internal decomposition (tracked in .claude/plan.md
and referenced in commit messages + GitHub issues). It leaked into
user-facing docs during v0.26.0 release prep. Users don't care about our
internal breakdown — they care about features and versions.

Cleanup:
- README.md: "New in v0.26.0" bullets now describe features by name only,
  (vX.Y.Z) version tags retained where present
- SECURITY.md: v0.26.0 hardening entries grouped by feature name, not Part
- CONTRIBUTING.md: module tree annotations use (v0.26.0) not (v0.26.0 Part X)

.claude/CLAUDE.md: added explicit rule under Release Checklist terminology
stating that Part X labels are internal-only and must NOT appear in public
docs. Prevents the same mistake next release.

.claude/plan.md + commit messages continue to use Part X — that's the
correct venue for internal dev decomposition.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-20 22:05:47 +05:00
Alpamys ddab34115c feat(v0.26.0): Parts B-E — Eval Gate, Trace-to-Pref, Quant-Check, Soup Cans
Closes the v0.26.0 "Red and Blue Ocean" flywheel after Part A (Registry):
Train (eval-gated) -> Registry -> Deploy (quant-check) -> Trace-to-Pref -> Train.

Part B — Eval-Gated Training:
- soup_cli/config/schema.py: EvalGateConfig (enabled/suite/every_n_epochs/
  regression_threshold/baseline/on_regression) + TrainingConfig.eval_gate field
- soup_cli/eval/gate.py: EvalSuite, GateTask, run_gate, resolve_baseline,
  load_suite; baselines from registry:// or file
- soup_cli/monitoring/callback.py: on_epoch_end + _run_eval_gate with fail-safe
  error handling (structured errors treated as regressions under on_regression=stop)
- soup_cli/commands/train.py: --gate <suite.yaml> shortcut flag
- soup_cli/commands/eval.py: gate subcommand (stub generator; live scoring v0.26.1)

Part C — Trace-to-Preference:
- soup_cli/data/traces/: parse_langchain, parse_openai, parse_soup_serve;
  build_pairs from thumbs_up / regenerations / user_edit
- soup_cli/commands/data.py: from-traces + review subcommands
- PII warning panel, 100,000-line cap, path containment, Literal validation

Part D — Quant-Lobotomy Checker:
- soup_cli/eval/quant_check.py: classify_delta (OK/MINOR/MAJOR), run_quant_check,
  resolve_model_ref with artifact kinds filter, table/json/markdown renderers
- soup_cli/commands/eval.py: quant-check subcommand

Part E — Soup Cans:
- soup_cli/cans/: Manifest + DataRef (Pydantic v2); pack_entry + fork_can
  (100MB cap, dunder-key guard); safe tar extraction (filter='data' on py3.12+,
  narrow fallback, manual symlink rejection + commonpath check)
- soup_cli/commands/can.py: pack/inspect/verify/fork subcommands

Shared utility:
- soup_cli/utils/paths.py: single is_under_cwd helper replacing 5 duplicates
  (os.path.realpath + commonpath — Windows 8.3 short-name safe)

Tests: 103 new (29 eval_gate + 24 trace_to_pref + 23 quant_check + 27 cans)
Full suite: 2511 passed on Windows Python 3.10.

Security hardening (review-driven, all severities fixed):
- EvalGateConfig bounds; GateTask null-byte + judge URL scheme allowlist
- Narrow except in _safe_extract so TarError from filter='data' is not swallowed
- resolve_model_ref artifact kinds filter (avoid wrong artifact)
- Manifest.author cap + null/newline rejection; created_at ISO-8601 validation
- fork_can dunder-key + null-byte rejection (prototype pollution prevention)
- fork_can size cap (100MB matches pack_entry)
- inspect_can/read_config refuse paths outside cwd

Docs:
- README.md: v0.26.0 "New in" block (flywheel); 43 recipes; all new commands
  in All Commands list; version examples bumped to 0.26.0; Windows-safe arrows
- CLAUDE.md: architecture + test table + schema + CLI + security section
  extended with B/C/D/E; phase vs Part terminology clarified; release
  checklist step 18 adds Known Limitations section; step 20 adds comment
  template; step 21 adds completeness check via gh issue list --milestone
- SECURITY.md: per-Part security notes (B/C/D/E) under v0.26.0
- CONTRIBUTING.md: test count + directory tree updates

Local smoke: version, eval gate, eval quant-check (table + json),
data from-traces, data review, can pack/inspect/verify/fork — all happy-path
end-to-end. Fixed Unicode arrows (U+2192) in can.py + gate.py that crashed on
Windows CP1252 consoles.

Deferred to v0.26.1 (known limitations, filed as issues post-release):
- eval gate/quant-check live model scoring (stub generator currently)
- data from-traces quality.py judge validation; serve --trace-log collector
- can run + can publish + orchestrator
- eval --attach-to-registry flag; export auto-artifact registration

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-20 21:37:05 +05:00
Alpamys 4cd4bab969 feat(registry): add Local Model Registry / Provenance Vault (v0.26.0 Part A)
Foundation of v0.26.0 "Red and Blue Ocean" — every fine-tune is now
tracked with lineage, config, eval baseline, and shippable artifacts.

New module soup_cli/registry/:
- hashing.py: deterministic SHA-256 of config (canonical JSON) + data
  (streamed) + base model; used as the entry_hash identity
- store.py: SQLite store (~/.soup/registry.db) with registry_entries,
  registry_artifacts, registry_lineage, registry_tags. Context-manager
  API, cycle-safe BFS walks, AmbiguousRefError on prefix collision,
  LIKE-wildcard-escaped search + resolve, FK ON DELETE CASCADE.
- diff.py: flat-walk ConfigChange diff + per-benchmark eval delta.

New CLI commands:
- soup registry push/list/show/search/diff/promote/delete
- soup history <name> — lineage DAG tree viewer

Security hardening (v0.26.0):
- name/tag validation: alphanumeric + _-. only, null-byte rejected,
  name ≤128, tag ≤64
- artifact path containment via os.path.realpath + commonpath
  (Windows 8.3 short-name safe); enforce_cwd=True default
- SQL parameterised; LIKE wildcards %/_ escaped with ESCAPE '\'
- DB 600 perms on POSIX; SOUP_REGISTRY_DB_PATH env override
- indirect-cycle detection in add_lineage via BFS ancestor walk
- Rich markup escaped in all CLI output
- resolve() raises AmbiguousRefError instead of silent None

Tests: 92 new tests in tests/test_registry.py (hashing, validation,
CRUD, artifacts, lineage + cycle, diff, CLI, history, security,
auto-register integration with ExperimentTracker). Full suite:
2409 passed (was 2313).

All review findings addressed (4 agents: python, code, security, tdd):
HIGH: context manager + try/finally cleanup, FK cascade (removed
manual cascade), cycle detection, LIKE wildcard escaping.
MEDIUM: ambiguous resolve raises, exit 0 on user cancel, cwd
captured at construction, enforce_cwd=True default, Windows
ASCII-safe error messages.

Deferred to v0.26.1: soup eval --attach-to-registry flag and
soup export auto-artifact registration.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-20 20:07:54 +05:00
Alpamys e4c3042a56 feat(v0.25.0): Beyond the Wrapper — 8 major features
Ships v0.25.0 with eight new capabilities (Parts A–H) that close every
competitive gap vs LLaMA-Factory/Axolotl/Unsloth and add unique differentiators:

Part A — 9 new model recipes: Llama 4 Scout (sft/dpo/grpo), Qwen 3 14B/32B/8B-grpo,
Gemma 3 12B/27B-dpo, DeepSeek V3 (MoE LoRA).

Part B — Tool-calling / agentic fine-tuning: new "tool-calling" data format with
detection + normalization, synth data template, init template, eval scoring
(tool_call_match / tool_call_name_match / tool_call_args_subset), plus
qwen3-8b-tools and llama4-scout-tools recipes.

Part C — RLVR (RL from Verifiable Rewards): reward_fn=verifiable routing to
math_verify_reward (regex-only, no eval), code_exec_reward (subprocess sandbox
with RLIMIT_AS/RLIMIT_CPU on POSIX, ephemeral tempdir cwd, concurrency cap,
one-time warning panel), and json_schema_reward. verifiable_domain Literal
validated via model_validator.

Part D — VeRA + OLoRA PEFT methods: LoraConfig.use_vera / use_olora with
mutual-exclusion validator and a unified peft_builder helper that returns
either LoraConfig or VeraConfig with the right init kwargs.

Part E — Apple Silicon MLX backend: detection + hardware profiling in utils/mlx,
MLXSFTTrainerWrapper via mlx-lm, scaffolding DPO/GRPO wrappers rejected at
config load time by SoupConfig._validate_mlx_task_support, lazy trainer
registry, doctor integration, 3 MLX SFT recipes, [mlx] extra in pyproject.

Part F — Data augmentation: soup data augment with rephrase / translate / style
strategies, path-traversal-protected input/output, count capped 1-10, lang/styles
lists bounded (10 entries × 32 chars), rate limiting, and optional --dedup.

Part G — Training intelligence: forgetting detection (ForgettingDetector with
3 built-in mini benchmarks and warning levels) and checkpoint intelligence
(CheckpointTracker with composite metric, early-stop on regression, safe
top-N pruning refusing symlinks and non-checkpoint dirs). SQLite schema
extended with checkpoint_quality + forgetting_eval tables.

Part H — Autopilot: soup autopilot command with dataset/model/hardware
profilers, decision engine (task/quant/peft/batch/lr/epochs/max_length/perf
flags), YAML generator, and full CLI with dry-run + --yes + path-traversal
protection + goal whitelist + gpu_budget bounds [1GB, 1TB]. Bakes forgetting
detection + checkpoint intelligence + early-stop into the generated config.

Totals:
- 2313 tests passing (183 new, up from 2130)
- 86 test files (8 new)
- 43 ready-made recipes (14 new)
- 16 built-in templates (tool-calling added)
- Review findings: all CRITICAL/HIGH/MEDIUM/LOW addressed (3 documented
  design limitations: code_exec best-effort sandbox, prune_checkpoints TOCTOU,
  MLX training integration test requires real hardware)

Docs: CLAUDE.md, README.md, SECURITY.md, CONTRIBUTING.md updated.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 12:58:11 +05:00
Salil Mhatre de5505c7d8
feat(doctor): add RAM and disk space checks to soup doctor command wi… (#7)
* feat(doctor): add RAM and disk space checks to soup doctor command with tests and updated docs

* fix(doctor): resolve subprocess type checker error by manually validating macOS RAM query return code
2026-04-05 17:28:05 +05:00
Alpamys d83dad0a3b docs: update CONTRIBUTING.md for v0.24.0, add CODEOWNERS
- Update test counts to 74 files / 2061 tests (was 62 / 1789)
- Add complete test file table matching CLAUDE.md
- Sync PR checklist with .github/pull_request_template.md
- Add Good First Issues section and New Recipe guide
- Add Conventional Commits format for commit messages
- Add CODEOWNERS for auto-reviewer assignment
2026-04-03 22:22:00 +05:00
Alpamys 1b1d679141 feat: v0.21.0 — migrate, recipes, NEFTune, rsLoRA
- `soup migrate` — import configs from LLaMA-Factory, Axolotl, Unsloth
  notebooks (AST-only .ipynb parsing, path traversal protection)
- `soup recipes` — 30 ready-made configs for popular models
  (list/show/use/search with path traversal protection)
- NEFTune (`neftune_alpha`) — noisy embeddings for SFT/DPO/KTO/ORPO/SimPO/IPO
- rsLoRA (`use_rslora`) — rank-stabilized LoRA scaling in all 11 trainers
- Fix: `soup doctor` torchvision circular import crash
- Fix: `load_eval_tasks()` now accepts str in addition to Path
- Security: Rich markup injection prevention in migration warnings
- Security: 10 MB file size limit on migration input files
- 1789 tests, 62 test files, 64% coverage
2026-04-02 14:08:36 +05:00
Alpamys c46265fd18 feat: add eval platform with custom evals, LLM judge, human eval, leaderboard (v0.19.0)
Full-featured evaluation system with 7 subcommands:
- soup eval benchmark: standard benchmarks via lm-evaluation-harness
- soup eval custom: custom JSONL eval tasks with 4 scoring modes
- soup eval judge: LLM-as-a-judge (OpenAI/Ollama/server backends)
- soup eval auto: automatic post-training evaluation from config
- soup eval compare: side-by-side eval comparison with regression detection
- soup eval leaderboard: local model leaderboard with JSON/CSV export
- soup eval human: terminal A/B comparison with Elo ratings

New modules: soup_cli/eval/ (custom.py, judge.py, human.py, leaderboard.py)
Config: EvalConfig added to schema.py (auto_eval, benchmarks, custom_tasks, judge)
Callback: SoupTrainerCallback.on_train_end triggers auto-eval when configured

Security: SSRF protection on judge API, ReDoS guard on regex scoring,
API key isolation per provider, 10k task/prompt caps, read-only SQL queries

1585 tests, 58 test files, ruff clean
2026-04-01 14:47:08 +05:00
Alpamys 3d66b41d00 v0.17.0: data quality filters, audio modality, SGLang backend, server provider
New features:
- soup data filter: quality filters with perplexity and coherence scoring
- modality: audio — Qwen2-Audio, Whisper fine-tuning with audio data format
- --backend sglang for soup serve (SGLang high-throughput inference)
- --provider server for soup data generate (local OpenAI-compatible servers)
- Audio template: soup init --template audio

Security hardening:
- Server provider SSRF validation (scheme whitelist, localhost-only HTTP)
- Audio file path traversal protection (resolved paths confined to audio_dir)
- trust_remote_code warning panels for audio models and SGLang runtime

1348 tests, 56 test files, 58.8% coverage, ruff clean.
2026-03-26 13:46:17 +05:00
Alpamys cbc0a0e558 v0.16.0: embedding models, ONNX/TensorRT export, speculative decoding
New features:
- task: embedding — fine-tune sentence embedding models (BGE, E5, GTE)
  with contrastive, triplet, or cosine loss and configurable pooling
- soup export --format onnx — ONNX export via optimum
- soup export --format tensorrt — TensorRT-LLM export for GPU inference
- soup serve --speculative-decoding — draft model for 2-3x faster generation
  (transformers assisted generation + vLLM native speculative decoding)
- soup init --template embedding — new template for embedding fine-tuning

Security:
- ONNX export: removed unconditional trust_remote_code, added warning
- Speculative decoding: SSRF protection (URL blocked), warning panel
- vLLM speculative: URL validation rejects http:// schemes
- TensorRT export: separated try/except per subprocess call
- Embedding config: Literal constraints, margin gt=0 validation

1270 tests, 52 test files, 58% coverage
2026-03-26 12:41:39 +05:00
Alpamys bee13c22f0 docs: update SECURITY, CONTRIBUTING, examples README to v0.15.0
- SECURITY.md: supported versions updated to v0.15.x, added v0.15.0 hardening history
- CONTRIBUTING.md: utils list updated with new modules, test count 1182, templates 13
- examples/README.md: added long-context fine-tuning section (#8)
2026-03-26 11:33:11 +05:00
Alpamys 1718578a1a test: add subprocess CLI tests + cross-platform CI matrix
- Add test_cli_subprocess.py (69 tests): real subprocess execution
  testing entry points, encoding, paths, Unicode, platform regressions
- CI matrix: ubuntu/windows/macos × Python 3.9/3.11/3.12 (9 jobs)
- CI: add coverage reporting with Codecov upload
- Update CLAUDE.md and CONTRIBUTING.md test counts (1022 → 1091)
2026-03-26 10:24:58 +05:00
Alpamys f5ad0f5a45 docs: update SECURITY, CONTRIBUTING, examples README to v0.14.3
- SECURITY.md: update supported versions to v0.14.x, add security hardening history
- CONTRIBUTING.md: update test counts (47 files, 1022 tests), add all trainers, fix project structure
- examples/README.md: add KTO/ORPO/SimPO/IPO, pre-training, MoE, batch inference sections
- CLAUDE.md: add SECURITY/CONTRIBUTING/examples to release checklist
2026-03-25 23:33:46 +05:00
Alpamys 1b949017dc Fix placeholder usernames and outdated version in docs
- CONTRIBUTING.md: YOUR-USERNAME → MakazhanAlpamys
- README.md: your-username → MakazhanAlpamys in push examples
- README.md: v0.4.0 → v0.10.0 in version --full example

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-24 11:22:32 +05:00
Alpamys e0f8e921bd Release v0.10.0: Phase 6.1 - Community (CONTRIBUTING, CODE_OF_CONDUCT, SECURITY, examples, FUNDING) 2026-03-23 23:10:45 +05:00