diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..09d347b --- /dev/null +++ b/.dockerignore @@ -0,0 +1,10 @@ +.git +.venv +.engineering-loop-state +.mypy_cache +.pytest_cache +.ruff_cache +__pycache__ +*.pyc +.env +.env.* diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..aa47017 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,25 @@ +FROM python:3.12-slim AS runtime + +ENV PYTHONUNBUFFERED=1 \ + UV_NO_CACHE=1 \ + PATH="/app/.venv/bin:${PATH}" + +RUN apt-get update \ + && apt-get install -y --no-install-recommends ca-certificates curl git gh openssh-client \ + && rm -rf /var/lib/apt/lists/* + +COPY --from=ghcr.io/astral-sh/uv:0.9.17 /uv /uvx /usr/local/bin/ + +WORKDIR /app + +COPY pyproject.toml uv.lock README.md ./ +COPY src ./src +COPY configs ./configs +COPY docs ./docs +COPY skills ./skills +COPY model-policy.yml engineering-loop-policy.yml ./ + +RUN uv sync --frozen --no-dev + +ENTRYPOINT ["hyrule-engineering-loop"] +CMD ["--help"] diff --git a/README.md b/README.md index 50fba17..7909ee1 100644 --- a/README.md +++ b/README.md @@ -53,9 +53,16 @@ uv run hyrule-engineering-loop --help uv run hyrule-engineering-loop daemon --once ``` -A feature run can optionally include a local knowledge context pack from +A Docker image can be built for the `loop` VM runtime shape: + +```bash +docker build -t as215932/engineering-loop:local . +docker run --rm as215932/engineering-loop:local --help +``` + +A feature run can optionally include a read-only knowledge context pack from `AS215932/knowledge` without enabling live tools, telemetry, LLM calls, or writes -in the knowledge repo: +in the knowledge repo. Local development can shell out to a checkout: ```bash uv run hyrule-engineering-loop feature CHANGE_ID \ @@ -68,6 +75,16 @@ uv run hyrule-engineering-loop feature CHANGE_ID \ --knowledge-repo /home/svag/Dev/knowledge ``` +On the dedicated `loop` VM, prefer the containerized knowledge MCP server over +shelling out to a checkout: + +```bash +uv run hyrule-engineering-loop daemon --once \ + --knowledge-context \ + --knowledge-mcp-url http://127.0.0.1:8767/mcp \ + --knowledge-mcp-transport streamable-http +``` + A run can also write a local sanitized learning-event artifact for human promotion into `AS215932/knowledge` later. This does not write to the knowledge repo and excludes raw prompts, diffs, transcripts, command output, and secrets. @@ -84,9 +101,9 @@ uv run hyrule-engineering-loop feature CHANGE_ID \ --knowledge-learning-dir .engineering-loop-state/learning-events ``` -The daemon's default production scope is the seven core repos: +The daemon's default production scope is the eight core repos: `engineering-loop`, `network-operations`, `hyrule-cloud`, `hyrule-web`, -`hyrule-mcp`, `noc-agent`, and `hyrule-network-proxy`. It runs low-and-slow by +`hyrule-mcp`, `noc-agent`, `hyrule-network-proxy`, and `as215932.net`. It runs low-and-slow by default: at most 2 runs/day, $10/day, and docs-only mutation boundaries unless a later reviewed PR widens them. @@ -100,12 +117,12 @@ The backend executes generated code. CI runs only on the unprivileged `ci-pr` runner (label `hyrule-public-pr`); the daemon refuses to run when `GITHUB_ACTIONS` is set. Never schedule it on a privileged runner. -Knowledge context is read-only and policy-scoped. It shells out to a local -`hyrule-knowledge context-pack` command (or reads an explicit JSON fixture in -tests) and stores the returned citations in graph state. It must not call live -MCP/Prometheus/Icinga endpoints or expose secrets. Optional learning events are -local sanitized artifacts only; humans import, review, and promote them in the -knowledge repo. +Knowledge context is read-only and policy-scoped. It can call the local +`hyrule-knowledge context-pack` command, a loopback `AS215932/knowledge` MCP +HTTP/SSE endpoint, or an explicit JSON fixture in tests. It stores returned +citations in graph state. It must not call live Prometheus/Icinga endpoints or +expose secrets. Optional learning events are local sanitized artifacts only; +humans import, review, and promote them in the knowledge repo. ## Related repositories diff --git a/pyproject.toml b/pyproject.toml index 06eb4e4..d4a19a7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,6 +5,7 @@ description = "Runnable LangGraph skeleton for the Hyrule Engineering Loop" requires-python = ">=3.12" dependencies = [ "langgraph>=0.2.70", + "mcp>=1.27.0", "pydantic>=2.10", "pyyaml>=6.0", ] diff --git a/src/hyrule_engineering_loop/cli.py b/src/hyrule_engineering_loop/cli.py index cda8f5a..5d7a183 100644 --- a/src/hyrule_engineering_loop/cli.py +++ b/src/hyrule_engineering_loop/cli.py @@ -128,6 +128,8 @@ def _knowledge_context_config(args: argparse.Namespace) -> KnowledgeContextConfi authority_min=getattr(args, "knowledge_context_authority_min", "A4"), timeout_seconds=int(getattr(args, "knowledge_context_timeout", 20)), fixture_path=Path(args.knowledge_context_fixture) if getattr(args, "knowledge_context_fixture", None) else None, + mcp_url=getattr(args, "knowledge_mcp_url", None), + mcp_transport=getattr(args, "knowledge_mcp_transport", "streamable-http"), ) @@ -504,6 +506,8 @@ def daemon_command(args: argparse.Namespace) -> int: repo: tuple(prefixes) for repo, prefixes in _parse_repo_paths(args.allow, option="--allow").items() }, + knowledge_context=_knowledge_context_config(args), + knowledge_learning_dir=args.knowledge_learning_dir, ) report = daemon_once(config, client=GhCli()) print(json.dumps(report.as_dict(), indent=2, sort_keys=True)) @@ -838,6 +842,8 @@ def build_parser() -> argparse.ArgumentParser: feature_parser.add_argument("--knowledge-context", action="store_true", help="include a read-only AS215932 knowledge context pack (default off)") feature_parser.add_argument("--knowledge-context-fixture", help="load a context-pack JSON fixture instead of invoking the knowledge CLI") feature_parser.add_argument("--knowledge-repo", default="../knowledge") + feature_parser.add_argument("--knowledge-mcp-url", help="load context through a read-only knowledge MCP HTTP/SSE endpoint") + feature_parser.add_argument("--knowledge-mcp-transport", default="streamable-http", choices=["streamable-http", "http", "sse"]) feature_parser.add_argument("--knowledge-context-role", default="engineering_loop") feature_parser.add_argument("--knowledge-context-risk", default="low") feature_parser.add_argument("--knowledge-context-budget", type=int, default=6000) @@ -878,6 +884,17 @@ def build_parser() -> argparse.ArgumentParser: metavar="REPO=PATH_PREFIX", help="widen allowed write paths for a repo (default: docs only). Repeatable.", ) + daemon_parser.add_argument("--knowledge-context", action="store_true", help="include a read-only AS215932 knowledge context pack (default off)") + daemon_parser.add_argument("--knowledge-context-fixture", help="load a context-pack JSON fixture instead of invoking knowledge") + daemon_parser.add_argument("--knowledge-repo", default="../knowledge") + daemon_parser.add_argument("--knowledge-mcp-url", help="load context through a read-only knowledge MCP HTTP/SSE endpoint") + daemon_parser.add_argument("--knowledge-mcp-transport", default="streamable-http", choices=["streamable-http", "http", "sse"]) + daemon_parser.add_argument("--knowledge-context-role", default="engineering_loop") + daemon_parser.add_argument("--knowledge-context-risk", default="low") + daemon_parser.add_argument("--knowledge-context-budget", type=int, default=6000) + daemon_parser.add_argument("--knowledge-context-authority-min", default="A4") + daemon_parser.add_argument("--knowledge-context-timeout", type=int, default=20) + daemon_parser.add_argument("--knowledge-learning-dir", help="write a sanitized local learning-event artifact (default off)") daemon_parser.set_defaults(func=daemon_command) intake_parser = subparsers.add_parser("intake", help="signal mining and triage inbox") diff --git a/src/hyrule_engineering_loop/daemon.py b/src/hyrule_engineering_loop/daemon.py index cc3482e..6aea659 100644 --- a/src/hyrule_engineering_loop/daemon.py +++ b/src/hyrule_engineering_loop/daemon.py @@ -27,6 +27,7 @@ from typing import Any, Callable, TypeAlias from hyrule_engineering_loop.feature import run_feature_intake +from hyrule_engineering_loop.knowledge_context import KnowledgeContextConfig from hyrule_engineering_loop.intake import ( APPROVED_LABEL, GhClient, @@ -101,6 +102,8 @@ class DaemonConfig: max_wall_clock_minutes_per_run: int = 45 max_cost_usd_per_run: float = 5.0 lock_max_age_seconds: int = DEFAULT_LOCK_MAX_AGE_SECONDS + knowledge_context: KnowledgeContextConfig | None = None + knowledge_learning_dir: str | None = None @dataclass @@ -420,6 +423,8 @@ def daemon_once( "max_wall_clock_minutes": config.max_wall_clock_minutes_per_run, "max_cost_usd": config.max_cost_usd_per_run, }, + knowledge_context=config.knowledge_context, + knowledge_learning_dir=config.knowledge_learning_dir, ) final_state = dict(result.get("final_state", {})) final_state["risk_level"] = final_state.get("risk_level", risk) diff --git a/src/hyrule_engineering_loop/knowledge_context.py b/src/hyrule_engineering_loop/knowledge_context.py index 81246d1..2ee4d5a 100644 --- a/src/hyrule_engineering_loop/knowledge_context.py +++ b/src/hyrule_engineering_loop/knowledge_context.py @@ -12,9 +12,12 @@ import os import subprocess from dataclasses import dataclass +from importlib import import_module from pathlib import Path from typing import Any +import anyio + class KnowledgeContextError(RuntimeError): """Raised when optional knowledge context loading fails.""" @@ -30,6 +33,8 @@ class KnowledgeContextConfig: authority_min: str = "A4" timeout_seconds: int = 20 fixture_path: Path | None = None + mcp_url: str | None = None + mcp_transport: str = "streamable-http" @classmethod def from_env(cls) -> KnowledgeContextConfig: @@ -42,6 +47,8 @@ def from_env(cls) -> KnowledgeContextConfig: authority_min=os.environ.get("HYRULE_KNOWLEDGE_CONTEXT_AUTHORITY_MIN", "A4"), timeout_seconds=int(os.environ.get("HYRULE_KNOWLEDGE_CONTEXT_TIMEOUT", "20")), fixture_path=Path(os.environ["HYRULE_KNOWLEDGE_CONTEXT_FIXTURE"]) if os.environ.get("HYRULE_KNOWLEDGE_CONTEXT_FIXTURE") else None, + mcp_url=os.environ.get("HYRULE_KNOWLEDGE_MCP_URL") or None, + mcp_transport=os.environ.get("HYRULE_KNOWLEDGE_MCP_TRANSPORT", "streamable-http"), ) @@ -70,6 +77,8 @@ def load_knowledge_context(task: str, *, config: KnowledgeContextConfig | None = def _load_pack(task: str, config: KnowledgeContextConfig) -> dict[str, Any]: if config.fixture_path is not None: return _read_fixture(config.fixture_path) + if config.mcp_url: + return _read_mcp_context_pack(task, config) repo_path = config.repo_path.expanduser().resolve() if not repo_path.is_dir(): raise KnowledgeContextError(f"knowledge repo not found: {repo_path}") @@ -110,6 +119,65 @@ def _load_pack(task: str, config: KnowledgeContextConfig) -> dict[str, Any]: return loaded +def _read_mcp_context_pack(task: str, config: KnowledgeContextConfig) -> dict[str, Any]: + try: + return anyio.run(_read_mcp_context_pack_async, task, config) + except KnowledgeContextError: + raise + except Exception as exc: + raise KnowledgeContextError(f"knowledge MCP context-pack request failed: {exc}") from exc + + +async def _read_mcp_context_pack_async(task: str, config: KnowledgeContextConfig) -> dict[str, Any]: + try: + client_session = getattr(import_module("mcp"), "ClientSession") + if config.mcp_transport == "sse": + client_factory = getattr(import_module("mcp.client.sse"), "sse_client") + elif config.mcp_transport in {"streamable-http", "http"}: + client_factory = getattr(import_module("mcp.client.streamable_http"), "streamablehttp_client") + else: + raise KnowledgeContextError(f"unsupported knowledge MCP transport: {config.mcp_transport}") + except ModuleNotFoundError as exc: + raise KnowledgeContextError("optional dependency `mcp` is required for HYRULE_KNOWLEDGE_MCP_URL") from exc + + assert config.mcp_url is not None + async with client_factory(config.mcp_url, timeout=config.timeout_seconds, sse_read_timeout=config.timeout_seconds) as streams: + read_stream, write_stream = _mcp_read_write_streams(streams) + async with client_session(read_stream, write_stream) as session: + await session.initialize() + result = await session.call_tool( + "knowledge_context_pack", + { + "task": task, + "role": config.role, + "risk_level": config.risk_level, + "budget_tokens": config.budget_tokens, + }, + ) + return _mcp_tool_result_to_dict(result) + + +def _mcp_read_write_streams(streams: Any) -> tuple[Any, Any]: + if isinstance(streams, tuple) and len(streams) >= 2: + return streams[0], streams[1] + raise KnowledgeContextError("knowledge MCP client did not return read/write streams") + + +def _mcp_tool_result_to_dict(result: Any) -> dict[str, Any]: + structured = getattr(result, "structuredContent", None) or getattr(result, "structured_content", None) + if isinstance(structured, dict): + return structured + content = getattr(result, "content", None) + if isinstance(content, list): + for item in content: + text = getattr(item, "text", None) + if isinstance(text, str): + loaded = json.loads(text) + if isinstance(loaded, dict): + return loaded + raise KnowledgeContextError("knowledge MCP context-pack result was not a JSON object") + + def _read_fixture(path: Path) -> dict[str, Any]: resolved = path.expanduser().resolve() if not resolved.is_file(): diff --git a/tests/test_phase26_knowledge_context.py b/tests/test_phase26_knowledge_context.py index 24711d2..690c233 100644 --- a/tests/test_phase26_knowledge_context.py +++ b/tests/test_phase26_knowledge_context.py @@ -3,9 +3,15 @@ import json import subprocess from pathlib import Path +from types import SimpleNamespace from hyrule_engineering_loop.feature import build_feature_state -from hyrule_engineering_loop.knowledge_context import KnowledgeContextConfig, load_knowledge_context +from hyrule_engineering_loop.knowledge_context import ( + KnowledgeContextConfig, + _mcp_read_write_streams, + _mcp_tool_result_to_dict, + load_knowledge_context, +) FIXTURE_PACK = { @@ -60,6 +66,17 @@ def test_knowledge_context_fixture_is_rendered(tmp_path: Path) -> None: assert "generated/services/hyrule-cloud" in result["summary"] +def test_mcp_tool_result_text_content_is_parsed() -> None: + result = SimpleNamespace(content=[SimpleNamespace(text=json.dumps(FIXTURE_PACK))]) + + assert _mcp_tool_result_to_dict(result)["id"] == "ctx_test" + + +def test_mcp_read_write_streams_accepts_sse_and_streamable_shapes() -> None: + assert _mcp_read_write_streams(("read", "write")) == ("read", "write") + assert _mcp_read_write_streams(("read", "write", "session")) == ("read", "write") + + def test_feature_state_includes_optional_knowledge_context(tmp_path: Path) -> None: workspace = tmp_path / "workspace" _init_repo(workspace / "hyrule-cloud") diff --git a/uv.lock b/uv.lock index be90f47..5ec32e2 100644 --- a/uv.lock +++ b/uv.lock @@ -3,7 +3,10 @@ revision = 3 requires-python = ">=3.12" resolution-markers = [ "python_full_version >= '3.15'", - "python_full_version < '3.15'", + "python_full_version == '3.14.*' and sys_platform == 'win32'", + "python_full_version == '3.14.*' and sys_platform != 'win32'", + "python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version < '3.14' and sys_platform != 'win32'", ] [[package]] @@ -68,6 +71,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/45/19/cc8bd127d28a43da249aa955cfd164cf8fd534e79e42cea96c4854d72fd0/ast_serialize-0.5.0-cp39-abi3-win_arm64.whl", hash = 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