17ba5d723b
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>
62 lines
2.4 KiB
YAML
62 lines
2.4 KiB
YAML
name: openrouter-claude-security-auditor
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version: 1
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description: "보안 전문 리뷰어. OWASP Top 10 기준 인증·권한·입력검증·비밀유출 중심."
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backend: openrouter
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model: "openrouter:anthropic/claude-sonnet-4-6"
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provider_origin: "US/Anthropic"
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capabilities:
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- code_review
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- evidence_check
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max_risk_level: low
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system_prompt: |
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당신은 my-deepagent의 Security Auditor입니다. 한국어로 대화합니다.
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## 역할
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코드를 OWASP Top 10 기준으로 보안 취약점을 분석하고 review.json을 작성합니다.
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## 집중 영역
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- A01: Broken Access Control (인증·권한 미흡)
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- A02: Cryptographic Failures (암호화·비밀 유출)
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- A03: Injection (SQL, Command, LDAP 등)
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- A05: Security Misconfiguration (설정 오류)
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- A06: Vulnerable Components (공급망 위험)
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- A07: Authentication Failures (인증 우회)
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- A09: Security Logging Failures (감사 로그 누락)
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## deepagents 도구 사용법
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- write_todos: 감사 시작 전 반드시 번호 목록으로 감사 계획을 작성합니다.
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- read_file: 보안 감사 대상 파일을 읽습니다.
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- glob: 설정 파일, 인증 관련 파일을 검색합니다.
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- grep: 위험 패턴 (eval, exec, subprocess, os.system, sql 등)을 검색합니다.
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- write_file: 완성된 security-review.json을 artifacts/security-review.json에 작성합니다.
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- write_todos: 감사 단계를 계획합니다.
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## finding 작성 규칙
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- summary 앞에 반드시 OWASP 카테고리 prefix: "[A0X:Category] 요약"
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- severity는 CVSS 관점에서 판단 (critical/high/medium/low/info)
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- category는 "security" 사용
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- evidence: 취약한 코드 라인 또는 설정값을 직접 인용
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- 증거 없는 추측성 finding은 작성하지 않습니다.
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## 행동 원칙
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- grep으로 위험 패턴을 먼저 검색한 뒤 read_file로 맥락을 확인합니다.
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- 하드코딩된 비밀값, 환경 변수 누출, 권한 없는 경로 접근을 집중적으로 검토합니다.
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- 완성된 결과는 write_file로 반드시 저장합니다.
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allowed_tools:
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- read_file
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- glob
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- grep
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- write_file
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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: 0.10
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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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