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Add a [harnessx] config block so the agentic plane can be steered from
openultrasast.toml, and make the LLM provider selectable (the hunter and verifier
previously hardcoded AnthropicProvider).
- config.HarnessxConfig: provider ("anthropic"|"openai"|"litellm", default
anthropic), max_cost_usd (2.0), token_threshold (120000); parsed from [harnessx].
- harness_ext.build_provider: single lazy, capability-guarded provider factory.
The provider name is validated before any import, so an unknown choice fails with
a clear ValueError even when the extra is absent; each provider reads its own
standard key env var (openai -> OPENAI_API_KEY, anthropic -> ANTHROPIC_API_KEY).
- HxScanOrchestrator and verify_findings_dispatch take a provider and route through
build_provider; cli threads config.harnessx.{provider,max_cost_usd,token_threshold}
into both the hunter and the verifier.
- README: "Configuring the HarnessX agentic plane" section (install, models,
provider, budgets, fallback/degradation).
Test isolation: convert the "harnessx not in sys.modules" import-guards to a
hermetic subprocess fixture (tests/conftest.py assert_cold_of_harnessx) and
simulate extra-absent in the CLI dispatch tests, so the suite is deterministic
whether or not the optional extra is installed (it now is, locally). Verified the
OpenAI path constructs end-to-end (build_provider -> OpenAIProvider; orchestrator
-> Harness) with the budget threaded through.
137 passed, 3 skipped; ruff + mypy clean; detection gate PASS.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
98 lines
3.9 KiB
Python
98 lines
3.9 KiB
Python
"""Capability guard for the optional HarnessX agentic plane.
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HarnessX is an optional extra (``pip install 'openultrasast[harnessx]'``). The core
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install is zero-dependency, so nothing here imports ``harnessx`` at module load:
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:func:`has_harnessx` only probes importability via ``find_spec`` and
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:func:`require_harnessx` performs the import lazily, on demand. Every HarnessX-backed
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code path (Phase 3+: build_sast, the hunter sub-harness, the llm-judge verifier, the
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MetaAgent.evolve loop) routes through this seam.
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"""
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from __future__ import annotations
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import importlib
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import importlib.util
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from types import ModuleType
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from typing import TYPE_CHECKING, Any
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if TYPE_CHECKING:
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from harnessx.core.harness import HarnessConfig
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HARNESSX_EXTRA = "openultrasast[harnessx]"
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# HarnessX providers OpenUltraSAST can drive for the hunter / llm-judge stages.
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# Each reads its own standard API-key env var (ANTHROPIC_API_KEY / OPENAI_API_KEY).
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SUPPORTED_PROVIDERS = ("anthropic", "openai", "litellm")
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class HarnessXUnavailableError(RuntimeError):
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"""Raised when a HarnessX-backed capability is requested but the extra is absent."""
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def has_harnessx() -> bool:
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"""Return True if the HarnessX extra is importable, without importing it."""
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return importlib.util.find_spec("harnessx") is not None
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def require_harnessx() -> ModuleType:
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"""Lazily import and return the ``harnessx`` module, or raise with install guidance."""
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if not has_harnessx():
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raise HarnessXUnavailableError(f"HarnessX is not installed. Install the optional agentic extra: pip install '{HARNESSX_EXTRA}'")
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return importlib.import_module("harnessx")
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def build_provider(model: str, provider: str = "anthropic") -> Any:
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"""Build a HarnessX LLM provider for ``model`` (lazy, capability-guarded).
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The single place that knows HarnessX provider class names. The provider name is
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validated before any import so an unknown choice fails loudly even when the extra
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is absent; each provider reads its own standard API-key env var. Raises
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:class:`ValueError` on an unknown provider and :class:`HarnessXUnavailableError`
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when the extra is not installed.
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"""
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key = provider.lower()
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if key not in SUPPORTED_PROVIDERS:
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raise ValueError(f"unknown HarnessX provider {provider!r}; choose one of {SUPPORTED_PROVIDERS}")
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require_harnessx()
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if key == "anthropic":
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from harnessx.providers.anthropic_provider import AnthropicProvider
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return AnthropicProvider(model=model)
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if key == "openai":
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from harnessx.providers.openai_provider import OpenAIProvider
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return OpenAIProvider(model=model)
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from harnessx.providers.litellm_provider import LiteLLMProvider
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return LiteLLMProvider(model=model)
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def build_sast(*, max_cost_usd: float = 2.0, token_threshold: int = 120_000) -> HarnessConfig:
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"""Compose the SAST hunter HarnessConfig (behaviour pipeline, model-free).
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The single, strictly-localized HarnessX composition site (mirrors DocuHarnessX
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``make_docgen``): every ``harnessx`` import is inside this function so importing
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this module never touches the optional extra. Raises :class:`HarnessXUnavailableError`
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when the extra is absent. The per-task step budget is enforced on the task at run
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time, not composed here.
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"""
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require_harnessx()
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from harnessx.bundles.context import make_context
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from harnessx.bundles.control import make_control
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from harnessx.bundles.tools import make_tools
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from harnessx.core.builder import HarnessBuilder
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from harnessx.processors.context.strategies.system_prompt.default import DefaultSystemPromptBuilder
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builder = (
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HarnessBuilder()
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| make_context(system_builder=DefaultSystemPromptBuilder())
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| make_tools(skill_loading=False)
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| make_control(
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include_reliability=True,
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include_budget=True,
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token_threshold=token_threshold,
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max_cost_usd=max_cost_usd,
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)
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)
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return builder.build()
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