Commit Graph
6 Commits
Author SHA1 Message Date
Marius Ciepluch 7d3b0eadbe feat: load OpenRouter settings from a local .env
Stdlib parser only; pytest skips it so tests cannot pick up a developer key.
The embedding model is openai/text-embedding-3-small via OpenRouter /embeddings.
2026-09-04 14:06:18 +02:00
Marius Ciepluch 926c8c273e feat(three-stage-scan): add complexity and regression config caps 2026-09-03 19:29:54 +02:00
Marius CiepluchandClaude Opus 4.8 b5e40318db feat(hardening): Phase 15 — redaction, retry/backoff, budgets, threat-model docs
Release-readiness hardening.

- redaction.py (zero-dep): redact_secrets masks provider API keys, AWS/GitHub/Slack/
  Google tokens, bearer tokens, URL-embedded credentials, PEM private keys, and
  sensitive key=value assignments. Wired into the trace writer and the markdown report
  (on by default), so scan artifacts never leak a credential quoted from source.
- provider/openrouter.py: call_with_retry — exponential backoff on transient failures
  (HTTP 429/5xx, connection errors, timeouts); non-transient errors fail fast. Both the
  chat and embedding clients use it (max_attempts/retry_base_delay configurable).
- config [hardening]: redact_secrets (default true) + max_findings (bounded-CI output
  cap, 0 = unlimited; truncation is severity-ordered and disclosed as a `budget`
  degradation). Agentic spend stays bounded by [harnessx] max_cost_usd/token_threshold.
- docs/threat-model.md (trust boundaries, controls, sandbox limits) + docs/examples.md
  (six end-to-end walkthroughs); README "Security & hardening" section links both.
- CI lint/typecheck/test/detection-gate/dagger gates already existed.

tests/test_redaction.py, test_provider_retry.py, test_hardening_pipeline.py + config
tests. 206 passed, 4 skipped; ruff + mypy clean; detection gate PASS.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
2026-06-22 20:02:34 +02:00
Marius CiepluchandClaude Opus 4.8 867bd536a2 feat(fusion): Phase 13 — two-panel fusion adjudication
OpenUltraCode-style deepening for findings that need more reasoning than the
ranker→hunter→verifier→mapping loop provides.

- fusion.py (zero-dep core + lazy LLM path): a deterministic trigger policy
  (critical/high severity, verifier disagreement, static-vs-semantic conflict,
  gates-risky-fix, high-assurance request); two panels that steel-man the
  vulnerability and false-positive cases; a deterministic, auditable decider that
  reconciles to one of five dispositions (accepted/rejected/mitigated/deferred/
  blocked); full disclosure (votes, model IDs, degradations, warnings, decision
  source). fuse_findings_dispatch routes panels through the configured HarnessX
  provider when panel_model + extra are present, else deterministic + a degradation.
- config [fusion]: enabled (default true), panel_model, decider_model,
  high_assurance.
- cli: standard-mode fusion stage runs on triggered findings, writes fusion.json
  and a manifest `fusion` block; quick mode never fuses. reports.write_manifest
  gained the fusion summary param.
- 8.4 zero-dep guard extended to cover fusion.py (lazy harnessx import only).
- README fusion section marked implemented + documented; openrouter-sast-harness
  Phase 13 checked off.

tests/test_fusion.py (16 tests) + config tests. 169 passed, 4 skipped; ruff + mypy
clean; detection gate PASS.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
2026-06-22 18:57:03 +02:00
Marius CiepluchandClaude Opus 4.8 e255eb264f feat(harnessx): configurable provider + per-task budget caps
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]>
2026-06-22 17:59:44 +02:00
Marius Ciepluch e7df721d16 feat(scan): add initial SAST pipeline 2026-06-17 21:13:51 +02:00