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待翻譯:Show HN: Open tool for testing your AI Agents (No LLM)

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AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Notifications You must be signed in to change notification settings Fork 0 Star 5 BranchesTags Open more actions menu Latest commit History 113 Commits 113 Commits Folders and files NameName Last commit message Last com…

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待翻譯:Show HN: Open tool for testing your AI Agents (No LLM)
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Notifications You must be signed in to change notification settings Fork 0 Star 5 BranchesTags Open more actions menu Latest commit History 113 Commits 113 Commits Folders and files NameName Last commit message Last commit date .github/workflows .github/workflows docs docs fixtures fixtures packages packages tests tests .gitattributes .gitattributes .gitignore .gitignore .python-version .python-version AGENTS.md AGENTS.md CHANGELOG.md CHANGELOG.md CONTRIBUTING.md CONTRIBUTING.md LICENSE LICENSE README.md README.md REMEDIATION_SOURCES.md REMEDIATION_SOURCES.md SECURITY.md SECURITY.md conftest.py conftest.py pyproject.toml pyproject.toml uv.lock uv.lock Repository files navigation Weir is a CI gate for AI agents. It reads the OpenTelemetry traces your agent already emits and fails the build when sensitive data reaches a sink it should not reach. Weir asks a structural question: Did sensitive data flow through the agent to a sink it should never have reached? Your agent already answers that question in the traces it emits. Weir reconstructs the session graph, tracks taint through it, and shows the evidence node by node. flowchart LR A["traces your agent already emits"] --> B{"weir gauge"} B -->|"coverage too low"| C["names the exact instrumentation switch"] C -.->|"flip it, re-run"| B B -->|"coverage sufficient"| D{"weir scan"} D -->|"no forbidden flow"| E["exit 0"] D -->|"forbidden flow"| F["exit 1 + witness path n2 → n3 → n4 → n5 → n6"] Loading Try it in two minutes pip install weir-scan weir gauge your-export.jsonl # or: weir gauge --sample gauge asks the question every other tool skips: can your telemetry even support the assertion you want to make? evidentiary coverage: 0% argument capture: 0% degraded: 100% tool arguments not captured - this scope is emitted by Traceloop/OpenLLMetry's LangChain instrumentation, which captures content to span attributes by default; check TRACELOOP_TRACE_CONTENT (false disables capture) in the traced service's environment linkage: explicit (gen_ai.tool.call.id present) payloads: absent - content capture is off at your current telemetry: coverage reporting YES - taint/scan NO content capture is off; for OTel GenAI instrumentations built on the util-genai layer, set OTEL_SEMCONV_STABILITY_OPT_IN=gen_ai_latest_experimental and OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=SPAN_ONLY to capture gen_ai.input.messages / gen_ai.output.messages / gen_ai.tool.call.arguments and unlock cross-step analysis Most exports fail this first step, because content capture ships off by default almost everywhere. So weir names the exact switch to flip, read from the instrumentation in your own trace. Flip it, re-run, and weir scan is the actual test: 1 verdict-grade finding(s) finding: injection-exfil-to-outbound-sink source: financial_account_identifier at node 2 (tool_result) sink: send_email at node 6 witness path: n2 -> n3 -> n4 -> n5 -> n6 join tiers crossed: explicit verdict grade: yes matched value: 22 chars Exit 1, build fails, secret redacted. That finding came from one rule, and a rule is just a file. This is the whole thing: { "id": "injection-exfil-to-outbound-sink", "version": "1.0.0", "stage": "active", "description": "Untrusted content reaches an outbound sink verbatim, carrying a source-class-eligible sensitive value (R5.9).", "source_class": "financial_account_identifier", "sink_tool_name": "send_email", "mode": "verbatim" } No code, no DSL. You name a source, a sink, and a mode. The engine builds the graph, tracks the taint, and shows its work. Rewording your prompts will not move a finding. Adding a step will not move it. If the evidence genuinely weakens, the finding is demoted and says why, instead of quietly flipping to green. Why you can trust it It reads real traces, not ones we wrote. The suite pins a frozen capture that no weir code ever touched (provenance). Broken input degrades under one of 18 named rows; it never guesses (contract). Attacker content cannot rewire it. Joins follow evidence tiers, and a finding that crosses a weak one is never verdict-grade. Get past that and it is a security bug (SECURITY.md). The gauge is calibrated. One plan emits both native and OTLP traces; the adapter is accepted only on byte-for-byte equivalence. Claims about other people's software are sourced and dated (REMEDIATION_SOURCES.md). What ships today The OTel GenAI adapter, session graph, taint and evaluation, the gauge, HTML reports, and the trace generator behind the test corpus. Next: the weir diff baseline gate, more rules, more dialects. Apache-2.0, all of it, permanently. Nothing held back, nothing gated, nothing phoning home - the analysis path opens no sockets, and that is a test, not a promise. Install weir-scan; the import and the command are both weir. Why "weir" A weir is a low dam built across a river to regulate and measure its flow - the water keeps moving; the measurement happens anyway. Damhead Weir, Water of Leith. Photo by 501ghost, Wikimedia Commons, CC0. Resources Readme Apache-2.0 license Contributing Contributing Security policy Security policy Activity Stars 5 stars Watchers 1 watching Forks 0 forks Report repository

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