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The agent's only door to the trust layer (SPEC 3.5, 10): harnessd serves read_profile, read_ledger, read_playbook, read_target_source, propose_patch, run_verdict over stdio JSON lines. propose_patch enforces the path allowlist (relative paths only, no parent components, no .git, target name validated) before git apply --check + apply rooted in the target workspace; run_verdict builds the candidate into an isolated dir and hands off to the verdict pipeline (pristine-rebuilt baseline included). Python client (agent/hotpath_agent/harness.py) + tools.py rewired from stubs to live calls. E2E evidence: escape attempts refused (bad target name, ../ paths, trust-layer diff touching config/accept.toml rejected before any apply); benign doc patch applied, candidate built, full verdict ran mechanically end to end -> +8.9% [1.079, 1.104] accepted (ship-tree patches ride along as the candidate), ledger row phase1-ipc-smoke-001. Phase 1 caveat recorded in the daemon header: same-uid filesystem read-only enforcement still needs the separate-user/container setup. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
"""Tool surface exposed to the model (SPEC §3.5).
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Exactly six tools, all mediated by harnessd over line-delimited JSON —
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the agent process has no direct filesystem or shell capability beyond
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what these return. Deliberately NOT exposed: shell on the host, writes
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outside targets/<name>/, any access to crates/, config/, corpora/.
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Phase 2 wiring: each function becomes a Claude Agent SDK tool
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definition. The bodies talk to the live harness; construct a client
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with `connect(repo_root)` first.
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"""
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from __future__ import annotations
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from typing import Any
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from .harness import HarnessClient
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_client: HarnessClient | None = None
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def connect(repo_root: str, binary: str = "target/debug/harnessd") -> None:
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global _client
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_client = HarnessClient(repo_root, binary)
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def _c() -> HarnessClient:
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if _client is None:
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raise RuntimeError("call connect(repo_root) first")
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return _client
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def read_profile(target: str) -> dict[str, Any]:
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"""Latest profile for a target: ranked hotspots. Read-only."""
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return _c().call("read_profile", target=target)
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def read_ledger(target: str) -> dict[str, Any]:
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"""Prior attempts against this target — the anti-double-attempt
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memory. Never re-grind a class that already has a verdict."""
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return _c().call("read_ledger", target=target)
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def read_playbook(class_number: int) -> str:
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"""Playbook class markdown (1-7)."""
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return _c().call("read_playbook", **{"class": class_number})["markdown"]
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def read_target_source(target: str, path: str) -> str:
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"""Read-only view of the target workspace at the pinned commit."""
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return _c().call("read_target_source", target=target, path=path)["content"]
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def propose_patch(target: str, diff: str, hypothesis: str) -> str:
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"""Submit a unified diff plus its hypothesis. The harness applies it
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via `git apply` after a path-allowlist check (SPEC §10); anything
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outside targets/<target>/workspace is rejected before any gate
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runs. Returns a patch id."""
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return _c().call("propose_patch", target=target, diff=diff, hypothesis=hypothesis)["patch_id"]
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def run_verdict(patch_id: str, run_id: str, playbook_class: int, hotspot: str) -> dict[str, Any]:
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"""Gates + bench + ledger row for a proposed patch. This is the only
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way the agent learns whether a change 'worked'."""
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return _c().call(
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"run_verdict",
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patch_id=patch_id,
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run_id=run_id,
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playbook_class=str(playbook_class),
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hotspot=hotspot,
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)
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