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>
This commit is contained in:
chungyeong
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my-deepagent/tests/integration/test_openrouter_smoke.py
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143
my-deepagent/tests/integration/test_openrouter_smoke.py
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"""Real OpenRouter API smoke test. Costs ~$0.001-$0.003 per full run.
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Skipped automatically when no API key is configured.
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Uses deepseek/deepseek-chat (cheapest available) with max_tokens=50.
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"""
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from __future__ import annotations
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import os
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from pathlib import Path
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import pytest
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from my_deepagent.config import load_config
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from my_deepagent.persona import Persona
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from my_deepagent.session import resolve_model_instance
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_HAS_KEY = (
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bool(os.environ.get("MYDEEPAGENT_OPENROUTER_API_KEY") or os.environ.get("OPENROUTER_API_KEY"))
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or Path(".env").is_file()
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)
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pytestmark = [
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pytest.mark.integration,
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pytest.mark.skipif(not _HAS_KEY, reason="no OpenRouter API key configured"),
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]
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def _smoke_persona() -> Persona:
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return Persona.model_validate(
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{
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"name": "smoke-test",
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"version": 1,
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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": ["evidence_check"],
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"max_risk_level": "low",
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"system_prompt": (
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"You are a smoke-test echo bot. Reply only with the literal token 'OK'."
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),
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"model_params": {"max_tokens": 50, "temperature": 0.0},
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# deepagents 0.6.x: local_shell backend + permissions 동시 사용 시
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# NotImplementedError 발생. state 백엔드는 permissions 제약 없음.
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"deepagents_backend": "state",
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}
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)
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def _smoke_persona_local_shell() -> Persona:
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return Persona.model_validate(
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{
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"name": "smoke-test-local-shell",
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"version": 1,
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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": ["evidence_check"],
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"max_risk_level": "low",
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"system_prompt": (
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"You are a smoke-test echo bot. Reply only with the literal token 'OK'."
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),
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"model_params": {"max_tokens": 50, "temperature": 0.0},
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# local_shell backend: SafetyShellMiddleware enforces path + destructive-command
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# policy; permissions kwarg is skipped to avoid deepagents 0.6.1 NotImplementedError.
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"deepagents_backend": "local_shell",
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}
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)
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def test_openrouter_chat_completion_returns_response() -> None:
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"""ChatOpenAI 인스턴스로 1회 호출하여 OpenRouter base_url + auth + 응답 흐름 검증."""
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config = load_config()
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persona = _smoke_persona()
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chat = resolve_model_instance(persona, config)
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response = chat.invoke(
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[
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("system", persona.system_prompt),
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("user", "Reply with the exact string 'OK' and nothing else."),
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]
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)
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assert response is not None
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content = response.content
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# langchain BaseMessage.content는 str | list[content_block_dict]
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if isinstance(content, str):
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assert len(content) > 0
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else:
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assert len(content) > 0
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def test_openrouter_usage_metadata_present() -> None:
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"""response.usage_metadata가 input_tokens/output_tokens를 채워야 cost 계측 가능."""
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config = load_config()
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persona = _smoke_persona()
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chat = resolve_model_instance(persona, config)
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response = chat.invoke(
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[
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("system", persona.system_prompt),
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("user", "Reply with 'OK'."),
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]
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)
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usage = getattr(response, "usage_metadata", None)
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assert usage is not None, "OpenRouter response must include usage_metadata"
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assert usage.get("input_tokens", 0) > 0
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assert usage.get("output_tokens", 0) > 0
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def test_openrouter_deepagents_create_smoke() -> None:
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"""deepagents create_deep_agent + 실 OpenRouter 호출 1회. 가장 비싼 검증."""
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config = load_config()
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persona = _smoke_persona()
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from my_deepagent.session import build_agent
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agent = build_agent(persona, config, root_dir=Path.cwd())
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result = agent.invoke({"messages": [{"role": "user", "content": "Reply with 'OK' only."}]})
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messages = result.get("messages", [])
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assert len(messages) > 0
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last = messages[-1]
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content = getattr(last, "content", "")
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if isinstance(content, list):
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content = " ".join(str(c) for c in content)
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assert len(str(content)) > 0
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def test_openrouter_deepagents_local_shell_smoke(tmp_path: Path) -> None:
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"""Real OpenRouter call via deepagents + LocalShellBackend + SafetyShellMiddleware.
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Verifies deepagents 0.6.1 workaround: local_shell backend with permissions kwarg
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skipped, SafetyShellMiddleware automatically injected by build_agent.
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"""
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config = load_config()
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persona = _smoke_persona_local_shell()
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from my_deepagent.session import build_agent
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agent = build_agent(persona, config, root_dir=tmp_path)
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result = agent.invoke({"messages": [{"role": "user", "content": "Reply 'OK' only."}]})
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messages = result.get("messages", [])
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assert len(messages) > 0
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last = messages[-1]
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content = getattr(last, "content", "")
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if isinstance(content, list):
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content = " ".join(str(c) for c in content)
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assert len(str(content)) > 0
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