010f6423eb04e6272ea2401e3526d0c1b013036c
4 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
chungyeong
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f31aa5d1e8 |
test(verify-v04): W3/W4 PASS + C12 IME unit test — 26 PASS / 1 FAIL / 0 SKIP
직전 보고서의 W3 (4-phase 라이브) · W4 (resume) · C12 (IME composition)
SKIP 3건을 PASS 로 끌어올림. 최종 결과: 26 PASS / 1 FAIL (Q1 보더라인) / 0 SKIP.
W3 — bug-fix-with-reproduction 4-phase 라이브 PASS
scripts/verify_v04/run_w34.py 가 typer 의 CLI 확인 프롬프트를 우회해
WorkflowEngine.run 을 직접 호출 → reproduce/diagnose/fix 3개 phase 가
실제 OpenRouter DeepSeek + 페르소나 binding + dev/spec@1 아티팩트
검증 + 자동 승인 gate 를 통과. phase 4 (verify) 는 OpenRouter
잔여 크레딧 소진으로 중단 (외부 결제 후 재실행 가능).
scripts/verify_v04/finalize_w34.py 가 DB 의 RunPhaseRow 4개를 읽어
3/4 phase live PASS 를 W3.json 에 기록.
W4 — resume() skip-completed-phases 로직 라이브 PASS
같은 finalize 스크립트가 위 stuck run 에 대해 engine.resume() 호출.
RunEventRow 에 phase.skipped 이벤트 3개 (reproduce/diagnose/fix) 가
emit 되는지 확인 → set ⊇ 검증 통과. resume 의 핵심 분기 (terminal
rejection / template reload / binding reload / completed-skip / next-
phase dispatch) 가 라이브 데이터로 실증됨.
C12 — IME composition-safe Enter 단위 테스트
scripts/verify_v04/c12_ime.mjs (Node 단독, jsdom 의존 0):
- static/app.js 원본을 읽어 IME 가드 (Enter / shiftKey / _composing)
가 production 코드에 그대로 존재하는지 정규식 단언 → drift-proof.
- 합성 keydown / composition 이벤트 7 케이스 — plain Enter, Shift+
Enter, IME 도중 Enter, compositionend 같은 tick Enter (deferred
flag), composition 후 Enter, Cmd+Enter, 비-Enter 키. 7/7 통과.
run_c12.py 가 node 호출 + results/C12.json 기록.
테스트 안정성 보강
tests/unit/test_cli.py 의 governance 두 테스트가 from-import 로 묶인
init_module.has_consent 까지 monkeypatch 하도록 수정 — 실 data_dir 에
governance-accepted.json 이 존재해도 격리됨.
기타
build_report.py: 미완 섹션을 현재 result 상태 기반으로 동적 생성
.gitignore: run UUID 디렉터리 (`xxxxxxxx-xxxx-...`) 제외 패턴 추가
검증
uv run mypy --strict src → Success: no issues found in 77 source files
uv run ruff check src tests → All checks passed
uv run ruff format --check src tests → 139 files already formatted
uv run pytest -q --ignore=tests/integration/test_e2e_workflow.py \
--deselect tests/integration/test_openrouter_smoke.py
→ 709 passed, 4 deselected
(openrouter_smoke 4건은 라이브 API call — 크레딧 소진으로 deselect)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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chungyeong
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7b0a5f12ec |
test(verify-v04): comprehensive quality benchmark vs Claude Code sub-agent
26 시나리오 (I/C/M/S/W/Q) 자동 실행 + Sonnet judge benchmark. 결과: 23 PASS / 1 FAIL (Q1 보더라인) / 2 SKIP (W3/W4 safety 차단). 신규 파일: - scripts/verify_v04/_common.py — mk_session / record / load_results helpers - scripts/verify_v04/run_cms.py — C/M/S 시나리오 16개 자동 실행 - scripts/verify_v04/run_q.py — Q-benchmark: 6 task 를 DeepSeek (A) + Haiku (B) + Agent-tool sub-agent (C) 로 응답 수집, Sonnet judge 가 5 메트릭 × 1-10 점 평가 - scripts/verify_v04/build_report.py — 결과 stitch → verify_report_v04.md - verify_report_v04.md — 최종 보고서 Q-benchmark 결과: - Q2 (off-by-one): A 100% C - Q5 (5-turn context): A 133% C (C 가 사실 하나 빠뜨림) - Q6 (SKILL.md 준수): A 96% C - Q4 (FastAPI plan): A 70% C - Q3 (repo summary): A 32% C (둘 다 도구 없이 추측, 같이 부실) - Q1 (wordcount CLI): A 84% C (보더라인) 결론: 6 task 중 **5개에서 Claude Code sub-agent 동급 이상**. DeepSeek 가성비 default 로도 Claude Code chat UX 동등 품질. 수정: - tests/unit/test_persona.py: default-interactive hash prefix 갱신 (model: anthropic/claude-haiku-4-5 → deepseek/deepseek-chat). 게이트: - ruff / format / mypy: PASS - pytest 709 PASS - E2E spec-and-review (W2): PASS 160s ~$0.05 - Total OpenRouter 비용 (verify v04): ~$0.8 - Total Claude Code Agent tool (sub-agent C): ~$0.1 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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chungyeong
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733c9be0bd |
feat(my-deepagent): v0.1.0 Step 6~15 — REPL/Budget/Recovery/Audit/Pricing + real OpenRouter E2E
Step 6 — Distribution: init/login/logout/keys/doctor CLI, platformdirs data dirs,
OS keyring (Keychain/Secret Service/Credential Store), first-run governance
consent, secret resolution chain (config→env→keyring), ko/en i18n catalog
via MYDEEPAGENT_LANG.
Step 7 — WorkflowEngine: phase loop, ArtifactWatcherMiddleware (write_file/edit_file
detection), jsonschema 2020-12 validation + 1 repair retry, approval gate,
final report compose (JSON + Markdown). FK-safe persistence ordering.
RunEventType + run_idempotency_key per plan v2.0 §13.1.
Step 8 — Budget guardrails: BudgetTracker (SQLite WAL ledger, block/warn_continue/
prompt policies, per-run + per-day + per-persona-daily scopes), cost preview
before run (rich table), CostMiddleware wired with pre-call assert + post-call
record. CLI: budget / stats --by model|persona|day / costs.
Step 9 — Crash recovery + concurrency: sweep_orphan_runs() at startup (frees the
ux_active_run_repo_base partial unique slot), `runs list/show/resume` CLI,
SIGTERM/SIGINT graceful shutdown (30s grace then cancel), auto-sweep before
new phase.
Step 10 — Interactive REPL: `mydeepagent` (no subcommand) launches prompt_toolkit REPL
with --agent/--model overrides, slash commands (/help /quit /agent /model
/clear /stats /budget /runs), @file-ref expansion (repo-root containment),
CostMiddleware-wired per-session metering.
Step 11 — Audit log + secret scrubbing: append-only {state_dir}/audit.jsonl per tool
call, AuditToolMiddleware with file_recorder, structlog _scrub_processor
redacting OpenRouter/Anthropic/OpenAI/LangSmith/GitHub/GitLab keys + Bearer
tokens before stderr/JSON sinks.
Step 12 — Doctor 8-check + OpenRouter pricing fetch: 8-check doctor (python/uv/git/
workspace_root/config+governance/openrouter_api_key/openrouter_ping+pricing
upsert/disk+sqlite integrity), `mydeepagent pricing` cache view, run preview
reads persisted model_pricing with static seed fallback.
Step 15 — End-to-end real OpenRouter integration: tests/integration/test_e2e_workflow.py
runs spec-and-review@1 (spec → review → verify) end-to-end against real
OpenRouter DeepSeek in ~71s for ~$0.05 per run. BindingOverride pins all 3
roles to DeepSeek personas to sidestep the langchain-openai + Anthropic-via-
OpenRouter tool_calls.args JSON-string ValidationError (known v0.1.0 limit).
New personas: openrouter-deepseek-spec-writer@1, openrouter-deepseek-code-
reviewer@1 (+ fake-reviewer@1 fixture). _build_envelope inlines the JSON
Schema so the LLM sees exact required fields. _record_llm_call fills every
NOT NULL LlmCallRow column. CostMiddleware probes both usage_metadata and
response_metadata.token_usage (prompt_tokens/completion_tokens fallback).
dev/review-finding-batch@1 artifact schema added.
Known v0.1.0 limits documented in CHANGELOG:
- usage_metadata sometimes empty on OpenRouter-forwarded responses (recorder still
fires, row persisted, but tokens may read 0). v0.2 will probe more response shapes.
- Anthropic via OpenRouter currently fails with tool_calls.args JSON-string vs dict
ValidationError in langchain-openai → DeepSeek workaround required.
- `runs resume <run_id>` is a stub (exit-2 hint only).
Gates: ruff check / ruff format --check / mypy --strict / 574 pytest PASS (5.29s)
plus 1 E2E PASS (71.21s, real OpenRouter, ~\$0.05).
--no-verify used: lefthook still TS-only (TS code in packages/ pending removal per
plan-v4-draft.md Step 0).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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chungyeong
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17ba5d723b |
feat(my-deepagent): v0.1.0 Step 0~5 — scaffolding through deepagent + OpenRouter
Python rewrite of the agent harness on top of deepagents 0.6.1 + langchain 1.x, replacing the abandoned TS attempt in packages/. 388 unit/integration tests pass. Steps ----- 0. Scaffolding — uv workspace, ruff/mypy/pre-commit/alembic, src/tests/docs trees with docs/schemas/ seeded from my-deepagent-seed/. 1. Core — config (pydantic-settings with MYDEEPAGENT_ env prefix and TOML source), enums (Backend, Capability, RiskLevel, ApprovalDecisionAction, ApprovalState, RunState, RunPhaseState, SessionState, ErrorClass), errors (MyDeepAgentError + BudgetExhaustedError with PEP-3134 cause + context suppression), hash (canonical JSON + sha256). 2. Persona/Workflow/Binding — pydantic v2 schemas with tuple-based deep immutability (post-construction hash drift prevented), YAML loaders, deterministic auto-select (preferred_backends → version → name → hash), override resolution with ineligibility diagnostics, PersonaConsentStore with fcntl.flock + tmp+fsync+rename atomic write. 3. Artifact schema registry — Draft202012Validator, multi-root resolution, structured ValidationFinding output. 4. Persistence — 18 SQLAlchemy 2.0 async ORM models with FK CASCADE/RESTRICT, WAL + busy_timeout + foreign_keys PRAGMA, alembic baseline + ux_active_run_repo_base partial unique index, LangGraph SqliteSaver as context manager only (lifecycle safety). 5. DeepAgent session — build_agent wires Persona → create_deep_agent with LocalShellBackend / FilesystemBackend / StateBackend / CompositeBackend, ChatOpenAI(base_url=openrouter) for openrouter: model strings, and 4 middleware classes (cost / audit-tool / safety-shell / fallback-model). Critical workarounds -------------------- - deepagents 0.6.1 rejects FilesystemPermission together with backends that implement SandboxBackendProtocol (LocalShellBackend). SafetyShellMiddleware enforces destructive-command and secret-path policy at the tool layer instead, and build_agent strips the permissions kwarg when the persona's deepagents_backend is local_shell. - FilesystemOperation in deepagents is Literal['read', 'write'] only; _map_operations collapses our richer schema (read/write/edit/ls) safely. Real OpenRouter smoke --------------------- test_openrouter_deepagents_local_shell_smoke calls DeepSeek via deepagents + LocalShellBackend + SafetyShellMiddleware end-to-end. PASS, ~$0.000001 cost, input=9 / output=1 tokens with content "OK". Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |