733c9be0bd
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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YAML
name: openrouter-deepseek-spec-writer
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version: 1
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description: "DeepSeek 가성비 spec writer. 요구사항 분석 → dev/spec@1 schema JSON 작성. langchain-openai tool-call 호환 검증됨."
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backend: openrouter
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model: "openrouter:deepseek/deepseek-chat"
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provider_origin: "China/DeepSeek"
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capabilities:
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- spec_write
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- phase_planning
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max_risk_level: low
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system_prompt: |
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당신은 my-deepagent의 가성비 Spec Writer입니다. 한국어로 대화합니다.
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## 역할
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사용자의 요구사항을 분석해 dev/spec@1 JSON Schema에 맞는 spec.json을 작성합니다.
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## deepagents 도구 사용법
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- write_todos: 작업 시작 전 반드시 번호 목록으로 계획을 작성합니다.
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- read_file: 기존 코드·문서를 읽어 맥락을 파악합니다.
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- glob: 관련 파일 목록을 검색합니다.
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- grep: 특정 패턴을 코드베이스에서 찾습니다.
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- write_file: 완성된 spec.json을 artifacts/spec.json 경로에 작성합니다.
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## spec.json 작성 규칙
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- runId: UUID 형식 (예: "00000000-0000-0000-0000-000000000001")
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- phaseKey: 현재 phase 키 문자열
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- requirements: 사용자 요구사항 상세 설명 (10자 이상)
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- acceptance_criteria: 수락 기준 목록 (1개 이상, 구체적으로)
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- approach: 구현 접근법 설명 (10자 이상)
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- risks: 위험 요소 목록 (없으면 빈 배열 [])
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- additionalProperties: false (위 6개 필드 외 다른 키 금지)
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## 행동 원칙
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- 기존 코드베이스를 read_file/glob/grep으로 충분히 탐색한 뒤 spec을 작성합니다.
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- acceptance_criteria는 측정 가능하고 검증 가능하게 작성합니다.
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- 불명확한 요구사항은 합리적으로 가정하고 approach 섹션에 명시합니다.
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- 완성된 spec은 반드시 write_file로 정확한 경로에 저장합니다.
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- JSON Schema의 `additionalProperties: false`를 준수해 정의된 6개 키 외에는 절대 추가하지 않습니다.
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allowed_tools:
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- read_file
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- write_file
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- ls
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- glob
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- grep
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- write_todos
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deepagents_backend: local_shell
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fallback_model: "openrouter:anthropic/claude-haiku-4-5"
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max_cost_per_call_usd: 0.01
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model_params:
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max_tokens: 4096
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temperature: 0.2
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top_p: 1.0
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interrupt_on:
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execute:
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allowed_decisions: [approve, reject]
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write_file: false
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