From a580dfa8d5de8bff52c2441f4b6f45c0e77f33b8 Mon Sep 17 00:00:00 2001 From: Navendra Jha Date: Sat, 18 Apr 2026 14:07:19 -0700 Subject: [PATCH 01/15] chore: added docs for idea, backlog and agent execution --- AGENTS.md | 196 ++++++++++++++++++++++ MASKER_README.md | 387 +++++++++++++++++++++++++++++++++++++++++++ README.md | 2 +- docs/wiki/BACKLOG.md | 239 ++++++++++++++++++++++++++ 4 files changed, 823 insertions(+), 1 deletion(-) create mode 100644 AGENTS.md create mode 100644 MASKER_README.md create mode 100644 docs/wiki/BACKLOG.md diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 00000000..23681f31 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,196 @@ + + +# AGENTS + +This file defines how multiple coding agents collaborate to build Masker during the hackathon. + +--- + +## 🎯 Objective + +Build a demoable **on-device privacy layer for Cactus + Gemma voice agents** that: +- detects sensitive speech locally +- applies HIPAA-first policies +- routes requests (`local-only`, `masked-send`, `safe-to-send`) +- explains decisions in real-time + +--- + +## 🧠 Core Principle + +> Optimize for a **compelling demo in 24 hours**, not a perfect system. + +--- + +## 🧩 Agents & Roles + +### 1. 🧠 Codex β€” Privacy Intelligence Agent + +**Focus:** Core logic + +Owns: +- PII/PHI detection +- Policy engine +- Routing decisions +- Masking/tokenization + +Should: +- Be deterministic +- Be testable +- Define clean input/output contracts + +Avoid: +- UI work +- Integration plumbing + +--- + +### 2. 🎨 Ona β€” Demo & UX Agent + +**Focus:** Demo clarity + +Owns: +- Trace UI +- Explanation layer +- Demo scenarios + +Should: +- Make system understandable in seconds +- Focus on visual clarity + +Avoid: +- Core logic changes + +--- + +### 3. πŸ”Œ Cursor β€” Integration Agent + +**Focus:** Making Masker usable + +Owns: +- Voice loop plumbing +- Routing execution +- Gemma wrapper (`auto_attach`) +- External integration path + +Should: +- Minimize integration effort +- Keep APIs simple + +Avoid: +- Rebuilding detection logic + +--- + +### 4. 🧭 You β€” Orchestrator + +**Focus:** Shipping + +Owns: +- Prioritization +- Merging work +- Demo narrative +- External team integration + +--- + +## πŸ”— Contracts Between Agents + +### Detection Output (Codex β†’ Others) + +```json +{ + "entities": [{ "type": "ssn", "value": "123-45-6789" }], + "risk_level": "high" +} +``` + +--- + +### Policy Decision (Codex β†’ Cursor) + +```json +{ + "route": "masked-send", + "policy": "hipaa_base" +} +``` + +--- + +### Trace Event (All β†’ Ona) + +```json +{ + "stage": "masking", + "message": "Masked SSN" +} +``` + +--- + +## βš™οΈ Working Model + +Each agent works in **separate areas**: + +- Codex β†’ `privacy`, `policy`, `masking` +- Ona β†’ `ui`, `demo` +- Cursor β†’ `integration`, `routing` + +Avoid editing same files. + +--- + +## πŸš€ Execution Flow + +1. Codex builds detection + policy +2. Cursor wires routing + wrapper +3. Ona builds UI + demo +4. You integrate + test + +--- + +## πŸ“¦ Branch Strategy + +- `codex/privacy` +- `cursor/integration` +- `ona/ui` +- `main` for merge + +--- + +## πŸ“‹ Handoff Template + +Each agent should leave: + +```md +### Status +- What works +- What is blocked +- What changed +- What next agent needs +``` + +--- + +## 🧠 Prompting Guide + +Use: +- Codex β†’ logic + tests +- Ona β†’ UI + storytelling +- Cursor β†’ integration + wrappers + +--- + +## 🏁 Definition of Success + +- Working voice demo +- HIPAA scenario works +- One external integration +- Demo explainable in <1 minute + +--- + +## πŸ’₯ Key Reminder + +> Keep it simple. Make it work. Make it obvious. diff --git a/MASKER_README.md b/MASKER_README.md new file mode 100644 index 00000000..7f77ca5a --- /dev/null +++ b/MASKER_README.md @@ -0,0 +1,387 @@ +Masker banner + +# Masker Voice Agents Hack + +Masker Voice Agents Hack explores a simple hypothesis: voice AI becomes more trustworthy when sensitive context can be detected, classified, and handled before it leaves the device. + +The goal of this project is to prototype an on-device privacy layer for voice interactions on mobile devices and wearables, using local intelligence to decide what should stay local, what should be masked, and what is safe to route onward. + +## Project Thesis + +If Masker can detect sensitive speech locally before it is forwarded upstream, voice AI becomes safer, faster, and easier to trust. + +That creates a compelling extension to the main product: + +- Mask PII before it reaches the LLM. +- Decide locally whether a request should stay on-device, be masked, or be safely routed. +- Build a voice-native privacy experience that feels real-time instead of bolted on. + +## Scope + +This repo is scoped as a prototype, not the full Masker platform. + +### In Scope + +- A voice-first demo built with Gemma 4 on Cactus. +- On-device speech understanding for short live requests. +- Detection of sensitive content in spoken input. +- Local privacy policy decisions such as `local-only`, `masked-send`, and `safe-to-send`. +- A clear demonstration of how on-device privacy logic complements the main Masker proxy product. + +### Out of Scope + +- Rebuilding the full `navi25/masker` platform in this repo. +- Production-grade compliance guarantees. +- Broad portal, dashboard, or customer management features. +- Large integration surface area. +- General-purpose assistant behavior. + +## Relationship To The Main Product + +The public `masker` repo answers: +"How do we protect sensitive data before a voice agent sends it to an LLM?" + +This repo answers: +"How early can we make that privacy decision, and can we make it directly on-device?" + +Together, the story becomes stronger: + +- `masker` is the production-facing masking and compliance layer. +- `masker-voice-agents-hack` is the experimental edge intelligence layer. + +## Why Cactus + Gemma 4 + +This prototype is built around Gemma 4 on Cactus because the stack supports the exact product question we want to test: + +- Can we do meaningful privacy-aware reasoning on-device? +- Can a voice interaction still feel low-latency? +- Can local classification improve trust before the request ever touches the network? + +## Prototype Flow + +1. A user speaks into the device. +2. The request is transcribed and analyzed locally. +3. Sensitive entities or risky context are detected. +4. A local policy layer decides whether the request is `local-only`, `masked-send`, or `safe-to-send`. +5. The result is either handled locally or forwarded as a masked / approved request into the broader Masker pipeline. + +## Why This Matters + +The current Masker product is already valuable because it protects voice-agent traffic before it reaches an LLM. + +This repo explores a sharper product wedge: +privacy decisions that happen before sensitive speech even leaves the device. + +That matters for: + +- healthcare and compliance-sensitive workflows, +- enterprise users speaking about internal projects or customer details, +- and everyday users who want voice convenience without over-sharing by default. + +## Success Criteria + +This repo succeeds if it proves three things: + +1. On-device privacy detection is feasible in a voice workflow. +2. The latency still feels conversational. +3. The prototype expands the Masker story from "PII-safe voice agents" to "privacy-first voice AI from the edge inward." + +## Roadmap + +### Phase 1 + +- Stand up the local voice loop +- Detect basic PII classes +- Implement route decisions +- Show a working end-to-end demo + +### Phase 2 + +- Improve sensitivity classification +- Add user-visible privacy explanations +- Measure latency and masking quality +- Connect the prototype cleanly to the main Masker flow + +### Phase 3 + +- Explore mobile and wearable packaging +- Expand local policy customization +- Use learnings to inform the core Masker platform roadmap + +## Repository Intent + +This repo should publicly read as: + +"The experimental on-device voice privacy layer for Masker." + +It exists to document the idea, prove the technical wedge, and show how edge reasoning can strengthen the broader Masker product. + +Masker banner + +# πŸ›‘οΈ Masker +### Programmable Compliance Layer for Cactus + Gemma Voice Agents + +> **Masker is a real-time privacy layer that makes local voice AI safe to ship.** +It detects, transforms, and controls sensitive data before it reaches Gemmaβ€”and filters what comes out. + +--- + +## 🚨 Why Masker (for THIS hackathon) + +Everyone here is building: +- voice agents +- using Cactus + Gemma + +But: + +- Users speak **PHI/PII** (SSN, medical info, phone numbers) +- That data flows into: + - prompts + - logs + - responses + +> Even local AI is **not automatically private** + +- Logs leak +- Responses leak +- Agents mishandle sensitive data + +--- + +## πŸ’‘ What Masker Does + +Masker sits **inside your Cactus + Gemma pipeline**: + +``` +User β†’ Microphone β†’ Cactus STT β†’ Masker β†’ Gemma β†’ Masker β†’ Cactus TTS β†’ Speaker +``` + +--- + +## πŸ”§ Core Capabilities + +- πŸ” Detect PHI/PII (SSN, phone, email, patient info) +- πŸ” Transform (mask, tokenize, block) +- 🧠 Apply policies (HIPAA-first) +- 🧾 Audit (trace what was filtered) +- ⚑ Runs locally (low latency, Rust-friendly) + +--- + +## 🧠 Smart Privacy (No Compliance Toggles) + +> Don’t configure HIPAA vs GDPR. Masker figures it out. + +- Context-aware detection +- Auto-applies safeguards +- Works across healthcare + general PII + +--- + +## πŸ₯ HIPAA-First (Hackathon Scope) + +Masker ships with **3 simple policies**: + +### 1. Base Policy +- Detect identifiers (SSN, phone, email) +- Mask or tokenize +- Allow symptoms + +--- + +### 2. Logging Policy (Strict) +- No PHI in logs +- Store only masked or tokenized data + +--- + +### 3. Clinical Policy (Context-aware) +- Allow medical descriptions +- Block direct identifiers + +--- + +## βš™οΈ Integration (Cactus + Gemma) + +### 🟒 Option 1 β€” Auto Attach (recommended) + +```python +from masker import auto_attach + +auto_attach() + +response = gemma.generate(user_input) +``` + +- No major code changes +- Feels automatic + +--- + +### πŸ”΅ Option 2 β€” Explicit Wrapper + +```python +from masker import filter_input, filter_output + +safe_input = filter_input(user_input) +response = gemma.generate(safe_input) +safe_output = filter_output(response) +``` + +--- + +### 🟑 Option 3 β€” Local Interceptor (advanced) + +``` +App β†’ Masker (local) β†’ Gemma +``` + +--- + +## 🎬 Demo + +### Demo 1 β€” Cactus + Gemma Healthcare Agent + +- Run voice interaction +- User speaks sensitive data +- Show: + - detection + - transformation + - safe input to model + - safe output + +--- + +### Demo 2 β€” Another Hackathon Agent + +- Plug Masker into another team’s agent +- Show same protection layer + +> **Goal:** prove Masker works across agents + +--- + +## πŸ” Trust Models + +### Masker Managed (Default) +- Fast setup +- Masker handles encryption + +--- + +### Customer Managed (AWS KMS) +- Customer controls keys +- Strong enterprise story + +--- + +## 🧩 Architecture + +``` +Text Input + ↓ +Detection (PII / PHI) + ↓ +Policy Engine + ↓ +Transformation + ↓ +Gemma + ↓ +Output Filter +``` + +--- + +# πŸš€ 24-Hour Hackathon Plan + +## 🎯 Final Goal + +- Masker integrated into: + - 1 primary Cactus + Gemma agent + - 1 external hackathon agent +- Real-time masking working +- HIPAA policies applied +- Clear demo + story + +--- + +## ⏱️ Execution Plan + +### 🟒 Stage 1 (Hours 0–4) β€” Core Engine + +**Goal:** working masking pipeline + +- [ ] Detect: + - SSN + - phone + - email +- [ ] Transform: + - `[MASKED]` + - simple tokenization +- [ ] Build: + - `filter_input()` + - `filter_output()` + +--- + +### πŸ”΅ Stage 2 (Hours 4–8) β€” Gemma Wrapper + +**Goal:** attach to model + +- [ ] Build wrapper: + - `auto_attach()` OR `wrap(generate)` +- [ ] Intercept input + output +- [ ] Test with Gemma locally + +--- + +### 🟑 Stage 3 (Hours 8–14) β€” Policies + Trace UI + +- [ ] Define policies: + - Base + - Logging + - Clinical +- [ ] Build minimal UI: + - input + - output + - trace + +--- + +### πŸ”΄ Stage 4 (Hours 14–20) β€” Primary Agent Integration + +- [ ] Integrate with your main Cactus + Gemma agent +- [ ] Run voice flow +- [ ] Show real-time masking + +--- + +### 🟣 Stage 5 (Hours 20–24) β€” External Agent Integration + +- [ ] Find 1 healthcare agent +- [ ] Integrate Masker +- [ ] Record fallback demo + +--- + +## 🧠 Success Criteria + +- [ ] Real-time masking works +- [ ] HIPAA policies applied +- [ ] Demo polished +- [ ] 1 external integration +- [ ] Clear story + +--- + +## 🏁 Final Pitch + +> β€œEveryone here is building voice agents with Cactus and Gemma. +Masker is the layer you add before you shipβ€”to make them safe.” + +--- + +## πŸ’₯ One-liner + +> **Masker is a real-time privacy layer for local voice agents.** \ No newline at end of file diff --git a/README.md b/README.md index 54e31c3e..22494fc4 100644 --- a/README.md +++ b/README.md @@ -41,4 +41,4 @@ Prizes per special track: ## Next steps 1. Read Cactus docs carefully: [Link](https://docs.cactuscompute.com/latest/) 2. Read Gemma 4 on Cactus walkthrough carefully: [Link](https://docs.cactuscompute.com/latest/blog/gemma4/) -3. Cactus & DeepMind team would be available on-site. \ No newline at end of file +3. Cactus & DeepMind team would be available on-site. diff --git a/docs/wiki/BACKLOG.md b/docs/wiki/BACKLOG.md new file mode 100644 index 00000000..f339cfd9 --- /dev/null +++ b/docs/wiki/BACKLOG.md @@ -0,0 +1,239 @@ + + +# Backlog + +## 🎯 Goal +Build a demoable **on-device privacy layer for Cactus + Gemma voice agents** that: +- detects sensitive data locally +- applies HIPAA-first policies +- routes requests (`local-only`, `masked-send`, `safe-to-send`) +- can be plugged into another hackathon project + +--- + +## 🧠 Product Principles +- Privacy decisions happen **on-device first** +- Demo must feel **real-time and conversational** +- Prioritize **HIPAA scenarios** +- Keep everything **simple and explainable in <30 sec** +- Build **thin vertical slices**, not broad infra + +--- + +## 🌟 North Star Demo +User speaks into a Cactus + Gemma voice agent. + +Masker: +1. detects PHI/PII locally +2. applies policy +3. chooses route +4. explains what happened + +AND + +πŸ‘‰ another hackathon team can plug into Masker in minutes + +--- + +# πŸ”΄ P0 β€” Demo Critical + +## 1. Voice Loop +**Goal:** End-to-end working voice interaction + +- [ ] Mic input +- [ ] STT (Cactus) +- [ ] Response (text or voice) +- [ ] Support 3 scripted scenarios + +**Done when:** +- Voice β†’ response works reliably + +--- + +## 2. Sensitive Detection +**Goal:** Detect PHI/PII locally + +- [ ] SSN +- [ ] phone +- [ ] email +- [ ] names / identifiers +- [ ] basic health context + +**Output format:** structured spans + +**Done when:** +- demo inputs correctly detect entities + +--- + +## 3. Policy Engine +**Goal:** Decide how to handle data + +Routes: +- `local-only` +- `masked-send` +- `safe-to-send` + +Policies: +- [ ] Base +- [ ] Logging (strict) +- [ ] Clinical (context-aware) + +**Done when:** +- each scenario maps to correct route + +--- + +## 4. Masking / Tokenization +**Goal:** Transform sensitive data + +- [ ] Mask `[MASKED]` +- [ ] Optional tokenization +- [ ] Preserve context for LLM + +**Done when:** +- masked output works for all scenarios + +--- + +## 5. Routing Layer +**Goal:** Execute decision + +- [ ] local execution for sensitive +- [ ] masked forwarding +- [ ] safe forwarding + +**Done when:** +- all 3 routes demonstrated + +--- + +## 6. Trace UI (Demo Critical) +**Goal:** Show what happened + +- [ ] transcript +- [ ] detected entities +- [ ] policy used +- [ ] route chosen +- [ ] masked output + +**Done when:** +- judge understands flow visually + +--- + +## 7. External Integration +**Goal:** Plug into another hackathon agent + +- [ ] simple wrapper OR local proxy +- [ ] <5 lines integration +- [ ] quick demo + +**Done when:** +- 1 external project integrated or simulated + +--- + +# 🟑 P1 β€” High Value + +## 8. Auto Attach Wrapper + +- [ ] `auto_attach()` +- [ ] minimal code change + +--- + +## 9. Explanation Layer + +- [ ] β€œWe masked your SSN…” +- [ ] β€œThis stayed local…” + +--- + +## 10. Latency Metrics + +- [ ] STT time +- [ ] detection time +- [ ] routing time +- [ ] total latency + +--- + +# 🟒 P2 β€” Nice to Have + +## 11. Privacy Controls + +- [ ] sensitivity slider +- [ ] strict mode toggle + +--- + +## 12. Token Vault (Mock) + +- [ ] store tokenized values +- [ ] show encryption modes + +--- + +## 13. Packaging + +- [ ] simple SDK +- [ ] example snippet + +--- + +# 🎬 Demo Scenarios + +## Scenario A β€” Personal Info +β€œText Sarah my address is 4821 …” +β†’ expected: masked-send / local-only + +--- + +## Scenario B β€” Healthcare +β€œI have chest pain and my insurance ID is …” +β†’ expected: local-only / masked-send + +--- + +## Scenario C β€” Safe Query +β€œWhat’s the weather tomorrow?” +β†’ expected: safe-to-send + +--- + +## Scenario D β€” Work Context +β€œSummarize Apollo escalation for Redwood account” +β†’ expected: masked-send + +--- + +# πŸ€– Agent Work Split + +## Codex +- detection +- policy engine +- masking + +## Ona +- UI +- demo +- explanations + +## Cursor +- integration +- routing +- wrappers + +## You +- merge + demo +- external integration + +--- + +# 🏁 Definition of Done + +- [ ] voice demo works end-to-end +- [ ] HIPAA scenario is compelling +- [ ] 1 external integration works +- [ ] demo is explainable in <1 min From f051b464cf1b9066b5e1fa671ee0e81a1ad34d1f Mon Sep 17 00:00:00 2001 From: Hardik Tiwari Date: Sat, 18 Apr 2026 14:24:36 -0700 Subject: [PATCH 02/15] feat(integration): scaffold masker package with end-to-end voice loop MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Cursor (Integration Agent) workstream. Adds the masker/ package with the public API surface (filter_input, filter_output, auto_attach, VoiceLoop) plus typed contracts so Codex (detection/policy/masking) and Ona (UI) can build in parallel against stable interfaces. Layout: masker/contracts.py β€” typed dataclasses for the JSON shapes in AGENTS.md masker/detection.py β€” regex baseline (CODEX OWNS β€” replace body, keep sig) masker/policy.py β€” HIPAA-first rules (CODEX OWNS β€” replace body) masker/masking.py β€” placeholder + token modes, scrub_output (CODEX OWNS) masker/trace.py β€” Tracer + TraceEvent emitter for Ona's UI masker/gemma_wrapper.py β€” Stub / LocalCactus / GeminiCloud backends + auto_attach() masker/router.py β€” executes local-only / masked-send / safe-to-send masker/voice_loop.py β€” run_text_turn() + run_voice_turn() (cactus transcribe) masker/demo.py β€” `python -m masker.demo` runs the 4 BACKLOG scenarios tests/test_integration.py β€” 12 tests, all passing, no model deps Demo with the stub backend reproduces the expected routes for all four BACKLOG scenarios in <1ms each. Stack still works without cactus weights or a Gemini key, so Ona and Codex can develop without the full setup. Made-with: Cursor --- .gitignore | 32 ++++++++ masker/README.md | 78 ++++++++++++++++++ masker/__init__.py | 98 +++++++++++++++++++++++ masker/contracts.py | 151 +++++++++++++++++++++++++++++++++++ masker/demo.py | 117 +++++++++++++++++++++++++++ masker/detection.py | 87 ++++++++++++++++++++ masker/gemma_wrapper.py | 161 ++++++++++++++++++++++++++++++++++++++ masker/masking.py | 79 +++++++++++++++++++ masker/policy.py | 73 +++++++++++++++++ masker/router.py | 74 ++++++++++++++++++ masker/trace.py | 64 +++++++++++++++ masker/voice_loop.py | 113 ++++++++++++++++++++++++++ requirements.txt | 11 +++ tests/test_integration.py | 105 +++++++++++++++++++++++++ 14 files changed, 1243 insertions(+) create mode 100644 .gitignore create mode 100644 masker/README.md create mode 100644 masker/__init__.py create mode 100644 masker/contracts.py create mode 100644 masker/demo.py create mode 100644 masker/detection.py create mode 100644 masker/gemma_wrapper.py create mode 100644 masker/masking.py create mode 100644 masker/policy.py create mode 100644 masker/router.py create mode 100644 masker/trace.py create mode 100644 masker/voice_loop.py create mode 100644 requirements.txt create mode 100644 tests/test_integration.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..c8e3b2a1 --- /dev/null +++ b/.gitignore @@ -0,0 +1,32 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +*.egg-info/ +.pytest_cache/ +.mypy_cache/ +.ruff_cache/ + +# Virtualenvs +venv/ +.venv/ +env/ + +# Build / dist +build/ +dist/ +*.so +*.dylib + +# IDE / OS +.idea/ +.vscode/ +.DS_Store + +# Local secrets +.env +.env.* +!.env.example + +# Cactus model weights are pulled via `cactus download`; never commit +weights/ diff --git a/masker/README.md b/masker/README.md new file mode 100644 index 00000000..dd423171 --- /dev/null +++ b/masker/README.md @@ -0,0 +1,78 @@ +# `masker/` β€” Integration Layer + +This is the **Cursor / Integration Agent** workstream from `AGENTS.md`. It owns +voice loop plumbing, route execution, and the Gemma wrapper. Detection, +policy, and masking ship with regex-based stubs so the loop runs end-to-end +today; Codex replaces those bodies without touching this package's surface. + +## Layout + +| File | Owner | Purpose | +| -------------------- | ------- | ------------------------------------------------------------- | +| `contracts.py` | shared | Typed dataclasses mirroring the JSON contracts in `AGENTS.md` | +| `detection.py` | Codex | `detect(text) -> DetectionResult` β€” currently regex baseline | +| `policy.py` | Codex | `decide(detection) -> PolicyDecision` β€” HIPAA-first rules | +| `masking.py` | Codex | `mask` / `unmask` / `scrub_output` | +| `gemma_wrapper.py` | Cursor | Backends: `StubBackend`, `LocalCactusBackend`, `GeminiCloudBackend`, `auto_attach()` | +| `router.py` | Cursor | Executes a `PolicyDecision` against a backend | +| `voice_loop.py` | Cursor | `VoiceLoop.run_text_turn()` and `.run_voice_turn()` | +| `trace.py` | Ona-feed| `Tracer` + `TraceEvent` emitter consumed by the UI | +| `demo.py` | Cursor | `python -m masker.demo` runs the four BACKLOG scenarios | + +## Public API (3 calls + a class) + +```python +from masker import filter_input, filter_output, auto_attach, default_loop + +# 1. Drop-in helpers β€” what other hackathon teams will call: +safe_prompt, meta = filter_input("My SSN is 123-45-6789.") +safe_response = filter_output(model_reply) + +# 2. Auto-attach to google-genai so existing Gemini code is masked transparently: +auto_attach() # then the team's existing client.models.generate_content(...) is filtered + +# 3. End-to-end loop for our own demo: +loop = default_loop() +result = loop.run_text_turn("I have chest pain, MRN 99812.") +print(result.policy.route) # 'local-only' +print(result.safe_output) +``` + +## Running the demo + +```bash +# Zero-setup, runs the four BACKLOG scenarios with the stub LLM: +python -m masker.demo + +# Once you've sourced the cactus venv and downloaded functiongemma: +python -m masker.demo --backend cactus + +# With a Gemini API key for cloud routes: +export GEMINI_API_KEY=... +python -m masker.demo --backend gemini +``` + +## Tests + +```bash +python -m unittest discover -s tests -v +``` + +The test suite covers detection, policy, masking, the public API, and an +end-to-end `VoiceLoop` smoke test against the stub backend. Tests do not +require `cactus`, `google-genai`, or any model weights. + +## Contracts (for Codex / Ona) + +All cross-agent boundaries are typed in `contracts.py` and mirror the JSON +shapes in `AGENTS.md`: + +```python +DetectionResult(entities=[...], risk_level="high") +PolicyDecision(route="masked-send", policy="hipaa_base", rationale="...") +TraceEvent(stage="masking", message="Masked SSN", elapsed_ms=1.2, payload={...}) +TurnResult(...) # the full per-turn artifact returned by VoiceLoop +``` + +Codex: replace the bodies of `detect`, `decide`, `mask` β€” keep the signatures. +Ona: subscribe to `Tracer(on_event=...)` or read `TurnResult.trace` to render. diff --git a/masker/__init__.py b/masker/__init__.py new file mode 100644 index 00000000..0c090bb9 --- /dev/null +++ b/masker/__init__.py @@ -0,0 +1,98 @@ +"""Masker β€” on-device privacy layer for Cactus + Gemma voice agents. + +Public API surface (deliberately tiny β€” see MASKER_README.md): + + - filter_input(text) -> (safe_text, metadata) + - filter_output(text) -> safe_text + - auto_attach() -> monkey-patches google-genai for drop-in privacy + - VoiceLoop / default_loop() -> end-to-end orchestration + +Anything else is implementation detail and may move between releases. +""" + +from __future__ import annotations + +from typing import Any + +from .contracts import ( + DetectionResult, + Entity, + EntityType, + MaskedText, + PolicyDecision, + PolicyName, + Route, + TraceEvent, + TurnResult, +) +from .gemma_wrapper import ( + GemmaBackend, + GeminiCloudBackend, + LocalCactusBackend, + StubBackend, + auto_attach, + default_backend, +) +from .router import Router, default_router +from .trace import Tracer +from .voice_loop import VoiceLoop, default_loop + + +def filter_input(text: str, *, policy_name: PolicyName = "hipaa_base") -> tuple[str, dict[str, Any]]: + """Run detection + policy + masking on `text` and return the LLM-safe + version plus a metadata dict (route, entities, token_map). The most + common integration point for other teams. + """ + from . import detection as _detection + from . import masking as _masking + from . import policy as _policy + + det = _detection.detect(text) + decision = _policy.decide(det, policy_name=policy_name) + masked = _masking.mask(text, det) + return masked.text, { + "route": decision.route, + "policy": decision.policy, + "rationale": decision.rationale, + "entities": [e.to_dict() for e in det.entities], + "risk_level": det.risk_level, + "token_map": masked.token_map, + } + + +def filter_output(text: str) -> str: + """Re-scan a model's response and re-mask any sensitive spans the model + happened to echo or hallucinate. Conservative by design β€” false positives + are preferable to leaks. + """ + from . import detection as _detection + from . import masking as _masking + + det = _detection.detect(text) + return _masking.scrub_output(text, det) + + +__all__ = [ + "DetectionResult", + "Entity", + "EntityType", + "GemmaBackend", + "GeminiCloudBackend", + "LocalCactusBackend", + "MaskedText", + "PolicyDecision", + "PolicyName", + "Route", + "Router", + "StubBackend", + "TraceEvent", + "Tracer", + "TurnResult", + "VoiceLoop", + "auto_attach", + "default_backend", + "default_loop", + "default_router", + "filter_input", + "filter_output", +] diff --git a/masker/contracts.py b/masker/contracts.py new file mode 100644 index 00000000..d9f31554 --- /dev/null +++ b/masker/contracts.py @@ -0,0 +1,151 @@ +"""Typed contracts shared between Codex (detection/policy), Cursor (integration), +and Ona (UI/trace). These mirror the JSON shapes defined in AGENTS.md so all +three workstreams can build against stable interfaces in parallel. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from enum import Enum +from typing import Any, Literal + + +class EntityType(str, Enum): + SSN = "ssn" + PHONE = "phone" + EMAIL = "email" + NAME = "name" + ADDRESS = "address" + INSURANCE_ID = "insurance_id" + MRN = "mrn" + DOB = "dob" + HEALTH_CONTEXT = "health_context" + OTHER = "other" + + +RiskLevel = Literal["none", "low", "medium", "high"] +Route = Literal["local-only", "masked-send", "safe-to-send"] +PolicyName = Literal["hipaa_base", "hipaa_logging", "hipaa_clinical"] + + +@dataclass(frozen=True) +class Entity: + """A single sensitive span detected in text.""" + + type: EntityType + value: str + start: int = -1 + end: int = -1 + confidence: float = 1.0 + + def to_dict(self) -> dict[str, Any]: + return { + "type": self.type.value, + "value": self.value, + "start": self.start, + "end": self.end, + "confidence": self.confidence, + } + + +@dataclass(frozen=True) +class DetectionResult: + """Codex β†’ Cursor / Ona. JSON shape from AGENTS.md: + + {"entities": [{"type": "ssn", "value": "..."}], "risk_level": "high"} + """ + + entities: list[Entity] + risk_level: RiskLevel + + def to_dict(self) -> dict[str, Any]: + return { + "entities": [e.to_dict() for e in self.entities], + "risk_level": self.risk_level, + } + + @property + def has_sensitive(self) -> bool: + return self.risk_level in ("medium", "high") + + +@dataclass(frozen=True) +class PolicyDecision: + """Codex β†’ Cursor. JSON shape from AGENTS.md: + + {"route": "masked-send", "policy": "hipaa_base"} + """ + + route: Route + policy: PolicyName + rationale: str = "" + + def to_dict(self) -> dict[str, Any]: + return {"route": self.route, "policy": self.policy, "rationale": self.rationale} + + +@dataclass(frozen=True) +class MaskedText: + """Codex β†’ Cursor. The user-safe version of the text plus a token map + so the original values can be restored on the way back out. + """ + + text: str + token_map: dict[str, str] = field(default_factory=dict) + + def to_dict(self) -> dict[str, Any]: + return {"text": self.text, "token_map": dict(self.token_map)} + + +TraceStage = Literal[ + "stt", "detection", "policy", "masking", "routing", "llm", "output_filter", "tts" +] + + +@dataclass(frozen=True) +class TraceEvent: + """All β†’ Ona. JSON shape from AGENTS.md: + + {"stage": "masking", "message": "Masked SSN"} + """ + + stage: TraceStage + message: str + elapsed_ms: float = 0.0 + payload: dict[str, Any] = field(default_factory=dict) + + def to_dict(self) -> dict[str, Any]: + return { + "stage": self.stage, + "message": self.message, + "elapsed_ms": self.elapsed_ms, + "payload": dict(self.payload), + } + + +@dataclass +class TurnResult: + """End-to-end output of a single voice turn. Returned by the voice loop + and consumed by the trace UI / external integrations. + """ + + user_text: str + detection: DetectionResult + policy: PolicyDecision + masked_input: MaskedText + model_output: str + safe_output: str + trace: list[TraceEvent] + total_ms: float + + def to_dict(self) -> dict[str, Any]: + return { + "user_text": self.user_text, + "detection": self.detection.to_dict(), + "policy": self.policy.to_dict(), + "masked_input": self.masked_input.to_dict(), + "model_output": self.model_output, + "safe_output": self.safe_output, + "trace": [t.to_dict() for t in self.trace], + "total_ms": self.total_ms, + } diff --git a/masker/demo.py b/masker/demo.py new file mode 100644 index 00000000..4962c570 --- /dev/null +++ b/masker/demo.py @@ -0,0 +1,117 @@ +"""Demo runner β€” `python -m masker.demo`. + +Walks through the four scenarios from docs/wiki/BACKLOG.md and prints the +trace of each turn. Uses the StubBackend by default so the demo runs in +< 100ms with no model / no network β€” ideal for CI and screen-recordings. +Pass `--backend cactus` once Cactus + functiongemma are wired, or +`--backend gemini` once GEMINI_API_KEY is set. +""" + +from __future__ import annotations + +import argparse +import json +import sys +from dataclasses import dataclass + +from .gemma_wrapper import ( + GeminiCloudBackend, + LocalCactusBackend, + StubBackend, + default_backend, +) +from .router import Router +from .trace import Tracer +from .voice_loop import VoiceLoop + + +@dataclass +class Scenario: + label: str + text: str + expected_route: str + + +SCENARIOS: list[Scenario] = [ + Scenario( + label="A β€” Personal info", + text="Text Sarah my address is 4821 Mission Street, my number is 415-555-0123.", + expected_route="masked-send", + ), + Scenario( + label="B β€” Healthcare", + text="I have chest pain and my insurance ID is BCBS-887421, MRN 99812.", + expected_route="local-only", + ), + Scenario( + label="C β€” Safe query", + text="What's the weather tomorrow?", + expected_route="safe-to-send", + ), + Scenario( + label="D β€” Work context", + text="Summarize the Apollo escalation for the Redwood account, contact priya@redwood.com.", + expected_route="masked-send", + ), +] + + +def _backend_from_arg(name: str): + if name == "stub": + return StubBackend() + if name == "cactus": + return LocalCactusBackend() + if name == "gemini": + return GeminiCloudBackend() + if name == "auto": + return default_backend() + raise SystemExit(f"unknown backend: {name}") + + +def main(argv: list[str] | None = None) -> int: + p = argparse.ArgumentParser(description="Run the four BACKLOG scenarios end-to-end.") + p.add_argument("--backend", choices=["stub", "cactus", "gemini", "auto"], default="stub") + p.add_argument("--policy", choices=["hipaa_base", "hipaa_logging", "hipaa_clinical"], default="hipaa_base") + p.add_argument("--json", action="store_true", help="emit machine-readable JSONL") + p.add_argument("--scenario", help="run only the scenario whose label contains this string") + args = p.parse_args(argv) + + backend = _backend_from_arg(args.backend) + loop = VoiceLoop(router=Router(local_backend=backend), policy_name=args.policy) + + scenarios = SCENARIOS + if args.scenario: + needle = args.scenario.lower() + scenarios = [s for s in scenarios if needle in s.label.lower()] + if not scenarios: + print(f"no scenario matched {args.scenario!r}", file=sys.stderr) + return 2 + + failures = 0 + for s in scenarios: + tracer = Tracer() + result = loop.run_text_turn(s.text, tracer=tracer) + + if args.json: + print(json.dumps({"scenario": s.label, "expected": s.expected_route, "result": result.to_dict()})) + continue + + ok = "OK" if result.policy.route == s.expected_route else "MISMATCH" + if ok == "MISMATCH": + failures += 1 + bar = "─" * 78 + print(f"\n{bar}\n[{ok}] {s.label}") + print(f" user : {s.text}") + print(f" detected : {[e.type.value for e in result.detection.entities]} (risk={result.detection.risk_level})") + print(f" policy : {result.policy.route} (expected={s.expected_route})") + print(f" rationale : {result.policy.rationale}") + print(f" masked : {result.masked_input.text}") + print(f" β†’ model : {result.model_output[:160]}") + print(f" ← safe : {result.safe_output[:160]}") + print(f" total : {result.total_ms:.1f} ms") + + return 1 if failures else 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/masker/detection.py b/masker/detection.py new file mode 100644 index 00000000..fef70d33 --- /dev/null +++ b/masker/detection.py @@ -0,0 +1,87 @@ +"""Sensitive-content detection. CODEX OWNS THIS FILE. + +This file currently ships a regex-only baseline so the Cursor integration +layer can run end-to-end before Codex's real Gemma-based classifier lands. +Replace the body of `detect()` β€” keep the signature stable. + +Contract (see AGENTS.md): + detect(text: str) -> DetectionResult +""" + +from __future__ import annotations + +import re +from typing import Pattern + +from .contracts import DetectionResult, Entity, EntityType, RiskLevel + +_PATTERNS: list[tuple[EntityType, Pattern[str]]] = [ + (EntityType.SSN, re.compile(r"\b\d{3}-\d{2}-\d{4}\b")), + (EntityType.PHONE, re.compile(r"\b(?:\+?1[-.\s]?)?\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}\b")), + (EntityType.EMAIL, re.compile(r"\b[\w.+-]+@[\w-]+\.[\w.-]+\b")), + (EntityType.INSURANCE_ID, re.compile(r"\b(?:insurance|member|policy)\s*(?:id|#|number)?\s*[:#]?\s*([A-Z0-9-]{6,})\b", re.IGNORECASE)), + (EntityType.MRN, re.compile(r"\bMRN\s*[:#]?\s*([A-Z0-9-]{4,})\b", re.IGNORECASE)), + (EntityType.DOB, re.compile(r"\b(?:0?[1-9]|1[0-2])[/-](?:0?[1-9]|[12]\d|3[01])[/-](?:19|20)\d{2}\b")), + (EntityType.ADDRESS, re.compile(r"\b\d{1,5}\s+[A-Z][a-z]+(?:\s+(?:Street|St|Avenue|Ave|Road|Rd|Boulevard|Blvd|Drive|Dr|Lane|Ln|Way))?\b")), +] + +_HEALTH_KEYWORDS = re.compile( + r"\b(chest pain|diabetes|cancer|asthma|prescription|medication|symptom[s]?|" + r"diagnosis|insurance|patient|medical|hipaa|surgery|allergy|allergies|" + r"blood pressure|heart attack|depression|anxiety)\b", + re.IGNORECASE, +) + + +def _risk_from_entities(entities: list[Entity], has_health_context: bool) -> RiskLevel: + if not entities and not has_health_context: + return "none" + high_risk_types = {EntityType.SSN, EntityType.MRN, EntityType.INSURANCE_ID} + if any(e.type in high_risk_types for e in entities): + return "high" + if has_health_context and entities: + return "high" + if entities: + return "medium" + return "low" + + +def detect(text: str) -> DetectionResult: + """Detect sensitive entities in `text`. + + Codex: replace the body to use Gemma 4 / functiongemma classification. + Keep returning a DetectionResult so the rest of the pipeline is unaffected. + """ + entities: list[Entity] = [] + for etype, pattern in _PATTERNS: + for m in pattern.finditer(text): + value = m.group(1) if m.groups() else m.group(0) + entities.append( + Entity( + type=etype, + value=value, + start=m.start(), + end=m.end(), + confidence=0.9, + ) + ) + + has_health = bool(_HEALTH_KEYWORDS.search(text)) + if has_health: + m = _HEALTH_KEYWORDS.search(text) + if m: + entities.append( + Entity( + type=EntityType.HEALTH_CONTEXT, + value=m.group(0), + start=m.start(), + end=m.end(), + confidence=0.7, + ) + ) + + risk = _risk_from_entities( + [e for e in entities if e.type != EntityType.HEALTH_CONTEXT], + has_health, + ) + return DetectionResult(entities=entities, risk_level=risk) diff --git a/masker/gemma_wrapper.py b/masker/gemma_wrapper.py new file mode 100644 index 00000000..522bb0d5 --- /dev/null +++ b/masker/gemma_wrapper.py @@ -0,0 +1,161 @@ +"""Gemma backend wrappers. CURSOR OWNS THIS FILE. + +Three backends, all behind the same `GemmaBackend` protocol: + + - LocalCactusBackend β†’ spawns `cactus run ` and pipes prompts in + - GeminiCloudBackend β†’ calls Gemini API via google-genai (cloud fallback) + - StubBackend β†’ deterministic echo, used in CI / when no model present + +`auto_attach()` monkey-patches `google.genai.Client.models.generate_content` +so any team using the Gemini SDK gets Masker filtering for free. +""" + +from __future__ import annotations + +import os +import shutil +import subprocess +from dataclasses import dataclass +from typing import Callable, Protocol + + +class GemmaBackend(Protocol): + name: str + + def generate(self, prompt: str, *, max_tokens: int = 256) -> str: ... + + +@dataclass +class StubBackend: + """Deterministic backend used when no model / no API key is available. + Ensures the integration loop is testable in CI and on plane wifi. + """ + + name: str = "stub" + + def generate(self, prompt: str, *, max_tokens: int = 256) -> str: + head = prompt.strip().splitlines()[-1] if prompt.strip() else "" + return f"[stub-gemma reply to] {head[:200]}" + + +@dataclass +class LocalCactusBackend: + """Calls the on-device Gemma 4 model via the `cactus` CLI. + + Note: `cactus run` opens an interactive REPL. For non-interactive single- + shot generation we pipe a prompt on stdin and grab stdout until EOF. + The hackathon scope only needs short single-turn responses; we keep this + simple and shell out per turn. A persistent FFI binding is a Phase-2 win. + """ + + model: str = "google/functiongemma-270m-it" + cactus_bin: str = "cactus" + timeout_s: float = 30.0 + name: str = "cactus-local" + + def generate(self, prompt: str, *, max_tokens: int = 256) -> str: + if not shutil.which(self.cactus_bin): + raise RuntimeError( + f"`{self.cactus_bin}` not on PATH. Activate the cactus venv: " + f"`source cactus/venv/bin/activate`." + ) + try: + proc = subprocess.run( + [self.cactus_bin, "run", self.model], + input=prompt + "\n/quit\n", + text=True, + capture_output=True, + timeout=self.timeout_s, + ) + except subprocess.TimeoutExpired: + return "[masker] Local model timed out." + if proc.returncode != 0: + return f"[masker] cactus run failed: {proc.stderr[:200]}" + return _strip_repl_chrome(proc.stdout) + + +@dataclass +class GeminiCloudBackend: + """Cloud fallback. Used when policy says `safe-to-send` and the local + model's confidence is low, or when the caller explicitly wants Gemini. + """ + + model: str = "gemini-2.0-flash" + api_key_env: str = "GEMINI_API_KEY" + name: str = "gemini-cloud" + + def generate(self, prompt: str, *, max_tokens: int = 256) -> str: + api_key = os.environ.get(self.api_key_env) + if not api_key: + raise RuntimeError( + f"{self.api_key_env} not set. Export your Gemini API key or use a different backend." + ) + try: + from google import genai # type: ignore[import-not-found] + except ImportError as exc: # pragma: no cover + raise RuntimeError("`pip install google-genai` to use the cloud backend.") from exc + + client = genai.Client(api_key=api_key) + response = client.models.generate_content(model=self.model, contents=prompt) + return getattr(response, "text", str(response)) + + +def _strip_repl_chrome(stdout: str) -> str: + """Best-effort cleanup of the cactus chat REPL banner / prompt markers.""" + lines = [ln for ln in stdout.splitlines() if ln.strip()] + drop_prefixes = ("cactus", ">", "loading", "Loading", "[", "═", "─") + cleaned = [ln for ln in lines if not ln.strip().startswith(drop_prefixes)] + return "\n".join(cleaned).strip() or stdout.strip() + + +def default_backend() -> GemmaBackend: + """Pick the best available backend based on environment. + + Priority: cactus CLI on PATH > GEMINI_API_KEY set > stub. + """ + if shutil.which("cactus"): + return LocalCactusBackend() + if os.environ.get("GEMINI_API_KEY"): + return GeminiCloudBackend() + return StubBackend() + + +def auto_attach( + *, + backend: GemmaBackend | None = None, + on_filter: Callable[[str, str], None] | None = None, +) -> None: + """Monkey-patch the google-genai client so any caller transparently + routes through Masker's input/output filters. + + Usage in another team's code: + + from masker import auto_attach + auto_attach() + # ...their existing google-genai calls now get filtered for free. + """ + from . import filter_input, filter_output # local import to avoid cycle + + try: + from google.genai import models as _gm # type: ignore[import-not-found] + except ImportError: # pragma: no cover + raise RuntimeError("google-genai not installed; cannot auto_attach().") + + original = _gm.Models.generate_content + + def patched(self, *, model, contents, **kwargs): # type: ignore[no-untyped-def] + prompt = contents if isinstance(contents, str) else str(contents) + safe_prompt, _md = filter_input(prompt) + if on_filter: + on_filter(prompt, safe_prompt) + result = original(self, model=model, contents=safe_prompt, **kwargs) + result_text = getattr(result, "text", None) + if result_text: + safe_text = filter_output(result_text) + try: + result.text = safe_text # type: ignore[attr-defined] + except Exception: + pass + return result + + _gm.Models.generate_content = patched # type: ignore[assignment] diff --git a/masker/masking.py b/masker/masking.py new file mode 100644 index 00000000..8e9f0cef --- /dev/null +++ b/masker/masking.py @@ -0,0 +1,79 @@ +"""Masking & tokenization. CODEX OWNS THIS FILE. + +Replaces sensitive entity spans with either a placeholder (`[MASKED:type]`) +or a stable token (``). Returns a MaskedText that includes +a token map so output filtering can re-mask leaked values on the way back. + +Contract: + mask(text: str, detection: DetectionResult, *, mode: str) -> MaskedText + unmask(text: str, masked: MaskedText) -> str +""" + +from __future__ import annotations + +import hashlib +from typing import Literal + +from .contracts import DetectionResult, MaskedText + +MaskMode = Literal["placeholder", "token"] + + +def _token_for(value: str) -> str: + digest = hashlib.sha256(value.encode("utf-8")).hexdigest()[:8] + return f"" + + +def mask( + text: str, + detection: DetectionResult, + *, + mode: MaskMode = "placeholder", +) -> MaskedText: + """Replace each detected entity span in `text`. + + `placeholder` is more readable for the LLM (`[MASKED:ssn]`). + `token` is reversible and useful when the LLM needs to refer back + to the same redacted entity multiple times. + """ + spans = sorted( + [e for e in detection.entities if e.start >= 0 and e.end > e.start], + key=lambda e: e.start, + reverse=True, + ) + + out = text + token_map: dict[str, str] = {} + for e in spans: + if mode == "token": + replacement = _token_for(e.value) + token_map[replacement] = e.value + else: + replacement = f"[MASKED:{e.type.value}]" + token_map[replacement] = e.value + out = out[: e.start] + replacement + out[e.end :] + + return MaskedText(text=out, token_map=token_map) + + +def unmask(text: str, masked: MaskedText) -> str: + """Inverse of `mask` for `token` mode. For `placeholder` mode the original + values are restored as well, but readers should be aware that placeholders + in LLM output may not exactly match the originals. + """ + out = text + for placeholder, value in masked.token_map.items(): + out = out.replace(placeholder, value) + return out + + +def scrub_output(text: str, detection: DetectionResult) -> str: + """Re-run masking on a model output to catch any leaked sensitive + values the LLM might have echoed back in unredacted form. + """ + out = text + for e in detection.entities: + if not e.value: + continue + out = out.replace(e.value, f"[MASKED:{e.type.value}]") + return out diff --git a/masker/policy.py b/masker/policy.py new file mode 100644 index 00000000..e26272a9 --- /dev/null +++ b/masker/policy.py @@ -0,0 +1,73 @@ +"""Policy engine. CODEX OWNS THIS FILE. + +Maps a DetectionResult to a PolicyDecision (route + policy + rationale). +Ships a HIPAA-first baseline so the pipeline runs end-to-end. Codex can +swap in a richer policy DSL β€” keep the signature stable. + +Contract (see AGENTS.md): + decide(detection: DetectionResult, *, policy_name: PolicyName) -> PolicyDecision +""" + +from __future__ import annotations + +from .contracts import DetectionResult, EntityType, PolicyDecision, PolicyName + +_HIGH_RISK_LOCAL_ONLY: set[EntityType] = {EntityType.SSN, EntityType.MRN} + + +def decide( + detection: DetectionResult, + *, + policy_name: PolicyName = "hipaa_base", +) -> PolicyDecision: + """Decide the route for a turn given detected entities. + + Routes: + - local-only: never leaves the device (highest sensitivity) + - masked-send: forward to LLM with sensitive spans replaced + - safe-to-send: forward verbatim (no PHI/PII detected) + """ + types = {e.type for e in detection.entities} + + if policy_name == "hipaa_logging": + if detection.has_sensitive: + return PolicyDecision( + route="masked-send", + policy=policy_name, + rationale="Strict logging policy: any sensitive data must be masked before traversal.", + ) + + if policy_name == "hipaa_clinical": + if types & _HIGH_RISK_LOCAL_ONLY: + return PolicyDecision( + route="local-only", + policy=policy_name, + rationale="Direct identifiers (SSN/MRN) must stay on-device under clinical policy.", + ) + if EntityType.HEALTH_CONTEXT in types and detection.entities: + return PolicyDecision( + route="masked-send", + policy=policy_name, + rationale="Clinical context with identifiers β†’ mask identifiers, keep medical context.", + ) + + if types & _HIGH_RISK_LOCAL_ONLY: + return PolicyDecision( + route="local-only", + policy=policy_name, + rationale=f"High-risk identifiers detected: {sorted(t.value for t in types & _HIGH_RISK_LOCAL_ONLY)}", + ) + + if detection.has_sensitive: + sensitive = sorted({e.type.value for e in detection.entities if e.type != EntityType.HEALTH_CONTEXT}) + return PolicyDecision( + route="masked-send", + policy=policy_name, + rationale=f"Sensitive entities present: {sensitive}", + ) + + return PolicyDecision( + route="safe-to-send", + policy=policy_name, + rationale="No sensitive entities detected.", + ) diff --git a/masker/router.py b/masker/router.py new file mode 100644 index 00000000..8aa06e4a --- /dev/null +++ b/masker/router.py @@ -0,0 +1,74 @@ +"""Route execution. CURSOR OWNS THIS FILE. + +Given a PolicyDecision, decide what actually happens with the request: + + - local-only β†’ answer locally with the on-device model only, never touches cloud + - masked-send β†’ forward the masked text to the chosen backend (could be cloud) + - safe-to-send β†’ forward verbatim to the chosen backend + +The router is intentionally side-effect free except for calling the backend; +the trace is appended via the supplied Tracer. +""" + +from __future__ import annotations + +from dataclasses import dataclass + +from .contracts import MaskedText, PolicyDecision +from .gemma_wrapper import GemmaBackend, LocalCactusBackend, StubBackend +from .trace import Tracer + + +@dataclass +class Router: + local_backend: GemmaBackend + cloud_backend: GemmaBackend | None = None + + def execute( + self, + *, + original_text: str, + masked: MaskedText, + decision: PolicyDecision, + tracer: Tracer, + ) -> str: + if decision.route == "local-only": + backend = self.local_backend + prompt = original_text + elif decision.route == "masked-send": + backend = self.cloud_backend or self.local_backend + prompt = masked.text + elif decision.route == "safe-to-send": + backend = self.cloud_backend or self.local_backend + prompt = original_text + else: + raise ValueError(f"Unknown route: {decision.route}") + + with tracer.span( + "llm", + f"{backend.name} via route={decision.route}", + backend=backend.name, + route=decision.route, + prompt_chars=len(prompt), + ): + try: + return backend.generate(prompt) + except Exception as exc: # noqa: BLE001 + tracer.event( + "llm", + f"backend error, falling back to stub: {exc}", + backend=backend.name, + ) + return StubBackend().generate(prompt) + + +def default_router() -> Router: + """Local-first router. Cloud backend is wired only if its credentials + are present; otherwise everything stays local. + """ + from .gemma_wrapper import GeminiCloudBackend, default_backend + import os + + cloud = GeminiCloudBackend() if os.environ.get("GEMINI_API_KEY") else None + local = default_backend() if not cloud else LocalCactusBackend() + return Router(local_backend=local, cloud_backend=cloud) diff --git a/masker/trace.py b/masker/trace.py new file mode 100644 index 00000000..f300e40d --- /dev/null +++ b/masker/trace.py @@ -0,0 +1,64 @@ +"""Trace event collector. Used by every stage to record what happened so +Ona's UI / explanation layer can render it. Writes structured JSON Lines +to a sink (default stderr) for live tailing. +""" + +from __future__ import annotations + +import json +import sys +import time +from contextlib import contextmanager +from typing import Any, Callable, Iterator, TextIO + +from .contracts import TraceEvent, TraceStage + + +class Tracer: + """Lightweight per-turn trace collector. + + Usage: + tracer = Tracer() + with tracer.span("detection", "Detecting PII"): + ... + events = tracer.events + """ + + def __init__( + self, + sink: TextIO | None = None, + emit_jsonl: bool = False, + on_event: Callable[[TraceEvent], None] | None = None, + ): + self.events: list[TraceEvent] = [] + self._sink = sink if sink is not None else sys.stderr + self._emit_jsonl = emit_jsonl + self._on_event = on_event + + def event(self, stage: TraceStage, message: str, **payload: Any) -> TraceEvent: + ev = TraceEvent(stage=stage, message=message, elapsed_ms=0.0, payload=payload) + self._record(ev) + return ev + + @contextmanager + def span(self, stage: TraceStage, message: str, **payload: Any) -> Iterator[None]: + t0 = time.perf_counter() + try: + yield + finally: + elapsed_ms = (time.perf_counter() - t0) * 1000.0 + ev = TraceEvent( + stage=stage, message=message, elapsed_ms=elapsed_ms, payload=payload + ) + self._record(ev) + + def _record(self, ev: TraceEvent) -> None: + self.events.append(ev) + if self._emit_jsonl: + self._sink.write(json.dumps(ev.to_dict()) + "\n") + self._sink.flush() + if self._on_event: + self._on_event(ev) + + def total_ms(self) -> float: + return sum(e.elapsed_ms for e in self.events) diff --git a/masker/voice_loop.py b/masker/voice_loop.py new file mode 100644 index 00000000..759e2a06 --- /dev/null +++ b/masker/voice_loop.py @@ -0,0 +1,113 @@ +"""End-to-end voice / text loop. CURSOR OWNS THIS FILE. + +Orchestrates: input β†’ STT β†’ detection β†’ policy β†’ masking β†’ routing β†’ output filter. +Returns a TurnResult that Ona's UI consumes for the trace view. + +Two entry surfaces: + + - `run_text_turn(text)` β€” headless, used by tests and the demo CLI + - `run_voice_turn()` β€” mic in / TTS out, calls into `cactus transcribe` + under the hood (Phase-1 uses scripted text fallback) +""" + +from __future__ import annotations + +import shutil +import subprocess +import time +from dataclasses import dataclass + +from .contracts import PolicyName, TurnResult +from . import detection as _detection +from . import masking as _masking +from . import policy as _policy +from .router import Router, default_router +from .trace import Tracer + + +@dataclass +class VoiceLoop: + router: Router + policy_name: PolicyName = "hipaa_base" + mask_mode: str = "placeholder" + + def run_text_turn(self, text: str, tracer: Tracer | None = None) -> TurnResult: + tracer = tracer or Tracer() + t0 = time.perf_counter() + + with tracer.span("detection", "Scanning input for PII/PHI"): + det = _detection.detect(text) + tracer.event( + "detection", + f"risk={det.risk_level}, entities={len(det.entities)}", + risk=det.risk_level, + entity_types=[e.type.value for e in det.entities], + ) + + with tracer.span("policy", f"Applying {self.policy_name}"): + decision = _policy.decide(det, policy_name=self.policy_name) + tracer.event("policy", f"route={decision.route}", **decision.to_dict()) + + with tracer.span("masking", "Masking sensitive spans"): + masked = _masking.mask(text, det, mode=self.mask_mode) # type: ignore[arg-type] + if masked.token_map: + tracer.event( + "masking", + f"masked {len(masked.token_map)} span(s)", + masked_count=len(masked.token_map), + ) + + model_text = self.router.execute( + original_text=text, + masked=masked, + decision=decision, + tracer=tracer, + ) + + with tracer.span("output_filter", "Re-scanning model output for leakage"): + safe_out = _masking.scrub_output(model_text, det) + if safe_out != model_text: + tracer.event("output_filter", "scrubbed leaked entity from output") + + total_ms = (time.perf_counter() - t0) * 1000.0 + return TurnResult( + user_text=text, + detection=det, + policy=decision, + masked_input=masked, + model_output=model_text, + safe_output=safe_out, + trace=list(tracer.events), + total_ms=total_ms, + ) + + def run_voice_turn(self, *, audio_file: str | None = None, tracer: Tracer | None = None) -> TurnResult: + """Voice-in variant. Uses `cactus transcribe` to convert audio β†’ text. + Falls back to `input()` prompt if no `cactus` CLI is available so dev + loops still work without a mic / model. + """ + tracer = tracer or Tracer() + with tracer.span("stt", "Transcribing audio"): + text = _transcribe(audio_file) + if not text: + text = input("masker> ").strip() + return self.run_text_turn(text, tracer=tracer) + + +def _transcribe(audio_file: str | None) -> str: + if not shutil.which("cactus"): + return "" + cmd = ["cactus", "transcribe"] + if audio_file: + cmd += ["--file", audio_file] + try: + proc = subprocess.run(cmd, capture_output=True, text=True, timeout=30) + except subprocess.TimeoutExpired: + return "" + if proc.returncode != 0: + return "" + return proc.stdout.strip() + + +def default_loop(*, policy_name: PolicyName = "hipaa_base") -> VoiceLoop: + return VoiceLoop(router=default_router(), policy_name=policy_name) diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 00000000..37d10e9c --- /dev/null +++ b/requirements.txt @@ -0,0 +1,11 @@ +# Runtime is intentionally zero-dependency. The integration layer only relies +# on the Python standard library so the package stays trivially embeddable. +# +# Optional extras pulled in by individual backends: +# google-genai # only needed for the Gemini cloud fallback (filter_input/output and StubBackend work without it) +# +# Cactus + functiongemma weights are installed via the cactus CLI: +# cd ../cactus && source ./setup +# cactus build --python +# cactus download google/functiongemma-270m-it --reconvert +google-genai>=1.0 diff --git a/tests/test_integration.py b/tests/test_integration.py new file mode 100644 index 00000000..44a7e6ae --- /dev/null +++ b/tests/test_integration.py @@ -0,0 +1,105 @@ +"""Smoke + integration tests for the masker package. + +Run: `python -m unittest discover -s tests -v` +""" + +from __future__ import annotations + +import unittest + +from masker import ( + StubBackend, + Tracer, + VoiceLoop, + filter_input, + filter_output, +) +from masker.detection import detect +from masker.masking import mask, scrub_output +from masker.policy import decide +from masker.router import Router + + +class DetectionTests(unittest.TestCase): + def test_ssn_is_detected_as_high_risk(self): + det = detect("My SSN is 123-45-6789.") + self.assertEqual(det.risk_level, "high") + types = {e.type.value for e in det.entities} + self.assertIn("ssn", types) + + def test_safe_query_has_no_entities(self): + det = detect("What's the weather tomorrow?") + self.assertEqual(det.risk_level, "none") + self.assertEqual(det.entities, []) + + def test_email_and_phone_are_detected(self): + det = detect("Email me at jane@example.com or 415-555-0123.") + types = {e.type.value for e in det.entities} + self.assertIn("email", types) + self.assertIn("phone", types) + + +class PolicyTests(unittest.TestCase): + def test_safe_query_is_safe_to_send(self): + det = detect("What time is it in Tokyo?") + self.assertEqual(decide(det).route, "safe-to-send") + + def test_ssn_is_local_only(self): + det = detect("SSN 111-22-3333.") + self.assertEqual(decide(det).route, "local-only") + + def test_email_is_masked_send(self): + det = detect("Ping priya@redwood.com.") + self.assertEqual(decide(det).route, "masked-send") + + +class MaskingTests(unittest.TestCase): + def test_mask_replaces_spans_with_placeholders(self): + text = "Email me at jane@example.com." + det = detect(text) + m = mask(text, det) + self.assertNotIn("jane@example.com", m.text) + self.assertIn("[MASKED:email]", m.text) + + def test_scrub_output_re_masks_leaked_values(self): + text = "Call 415-555-0123." + det = detect(text) + leaked = "Sure, calling 415-555-0123 now." + scrubbed = scrub_output(leaked, det) + self.assertNotIn("415-555-0123", scrubbed) + + +class PublicApiTests(unittest.TestCase): + def test_filter_input_returns_safe_text_and_metadata(self): + safe, meta = filter_input("My SSN is 123-45-6789.") + self.assertNotIn("123-45-6789", safe) + self.assertEqual(meta["route"], "local-only") + self.assertEqual(meta["risk_level"], "high") + + def test_filter_output_scrubs_leaked_email(self): + out = filter_output("Reach me at jane@example.com") + self.assertNotIn("jane@example.com", out) + + +class VoiceLoopTests(unittest.TestCase): + def test_end_to_end_with_stub_backend(self): + loop = VoiceLoop(router=Router(local_backend=StubBackend())) + result = loop.run_text_turn("What's the weather tomorrow?", tracer=Tracer()) + self.assertEqual(result.policy.route, "safe-to-send") + self.assertGreater(len(result.trace), 0) + stages = {ev.stage for ev in result.trace} + self.assertIn("detection", stages) + self.assertIn("policy", stages) + self.assertIn("llm", stages) + + def test_high_risk_turn_stays_local(self): + loop = VoiceLoop(router=Router(local_backend=StubBackend())) + result = loop.run_text_turn( + "I have chest pain and my MRN is 99812 and SSN 123-45-6789.", + tracer=Tracer(), + ) + self.assertEqual(result.policy.route, "local-only") + + +if __name__ == "__main__": + unittest.main() From e46b23a2b1da1ae942584de89d7b7a858555ea70 Mon Sep 17 00:00:00 2001 From: Hardik Tiwari Date: Sat, 18 Apr 2026 14:29:11 -0700 Subject: [PATCH 03/15] feat(integration): wire LocalCactusBackend to real cactus chat binary MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The integration loop now runs end-to-end against the on-device Gemma 4 model. Verified all four BACKLOG scenarios with `python -m masker.demo --backend cactus` β€” each turn lands at the right route in 1–2s warm. - LocalCactusBackend now uses `cactus run --prompt ` for single-shot generation, sends `\n` on stdin to skip the optional Cactus Cloud key prompt (so `cactus auth` is not required to demo). - Replaces the old chrome-stripping heuristic with a structured parser that pulls the reply between the `Assistant:` marker and the metrics line `[N tokens | latency: ... | RAM: ...]`. Falls back gracefully when the markers are missing. - Adds `--system` passthrough and bumps subprocess timeout to 60s for cold model loads. - 2 new parser tests pinning the stdout contract; full suite 14/14. - README updated with the working invocation + per-turn latency notes. Made-with: Cursor --- masker/README.md | 13 ++++++-- masker/gemma_wrapper.py | 63 ++++++++++++++++++++++++++++++--------- tests/test_integration.py | 34 +++++++++++++++++++++ 3 files changed, 94 insertions(+), 16 deletions(-) diff --git a/masker/README.md b/masker/README.md index dd423171..84a33e3f 100644 --- a/masker/README.md +++ b/masker/README.md @@ -41,17 +41,26 @@ print(result.safe_output) ## Running the demo ```bash -# Zero-setup, runs the four BACKLOG scenarios with the stub LLM: +# Zero-setup, runs the four BACKLOG scenarios with the stub LLM (<1ms each): python -m masker.demo -# Once you've sourced the cactus venv and downloaded functiongemma: +# Real Gemma 4 on Cactus (~1-2s per turn warm): +source ../cactus/venv/bin/activate python -m masker.demo --backend cactus # With a Gemini API key for cloud routes: export GEMINI_API_KEY=... python -m masker.demo --backend gemini + +# Auto-pick the best backend available in the current env: +python -m masker.demo --backend auto ``` +The Cactus backend shells out to `cactus run --prompt `, sends +an empty stdin line to satisfy the optional Cactus Cloud key prompt, and +parses the model's reply out of the chat binary's mixed stdout. No +persistent session β€” each turn pays the model-load cost (~0.5s warm). + ## Tests ```bash diff --git a/masker/gemma_wrapper.py b/masker/gemma_wrapper.py index 522bb0d5..01b84d33 100644 --- a/masker/gemma_wrapper.py +++ b/masker/gemma_wrapper.py @@ -42,15 +42,19 @@ def generate(self, prompt: str, *, max_tokens: int = 256) -> str: class LocalCactusBackend: """Calls the on-device Gemma 4 model via the `cactus` CLI. - Note: `cactus run` opens an interactive REPL. For non-interactive single- - shot generation we pipe a prompt on stdin and grab stdout until EOF. - The hackathon scope only needs short single-turn responses; we keep this - simple and shell out per turn. A persistent FFI binding is a Phase-2 win. + `cactus run --prompt ` runs the chat binary in single-shot mode: + it loads the model, generates one response, and exits. We send an empty + stdin line to satisfy the one-time Cactus Cloud key prompt without + requiring `cactus auth` to have been run first. + + Each call shells out and pays the model-load cost (~0.5s warm). A + persistent FFI binding is a Phase-2 latency win. """ model: str = "google/functiongemma-270m-it" cactus_bin: str = "cactus" - timeout_s: float = 30.0 + timeout_s: float = 60.0 + system_prompt: str | None = None name: str = "cactus-local" def generate(self, prompt: str, *, max_tokens: int = 256) -> str: @@ -59,10 +63,13 @@ def generate(self, prompt: str, *, max_tokens: int = 256) -> str: f"`{self.cactus_bin}` not on PATH. Activate the cactus venv: " f"`source cactus/venv/bin/activate`." ) + cmd = [self.cactus_bin, "run", self.model, "--prompt", prompt] + if self.system_prompt: + cmd += ["--system", self.system_prompt] try: proc = subprocess.run( - [self.cactus_bin, "run", self.model], - input=prompt + "\n/quit\n", + cmd, + input="\n", text=True, capture_output=True, timeout=self.timeout_s, @@ -70,8 +77,8 @@ def generate(self, prompt: str, *, max_tokens: int = 256) -> str: except subprocess.TimeoutExpired: return "[masker] Local model timed out." if proc.returncode != 0: - return f"[masker] cactus run failed: {proc.stderr[:200]}" - return _strip_repl_chrome(proc.stdout) + return f"[masker] cactus run failed: {proc.stderr[:200].strip()}" + return _extract_assistant_reply(proc.stdout) @dataclass @@ -100,11 +107,39 @@ def generate(self, prompt: str, *, max_tokens: int = 256) -> str: return getattr(response, "text", str(response)) -def _strip_repl_chrome(stdout: str) -> str: - """Best-effort cleanup of the cactus chat REPL banner / prompt markers.""" - lines = [ln for ln in stdout.splitlines() if ln.strip()] - drop_prefixes = ("cactus", ">", "loading", "Loading", "[", "═", "─") - cleaned = [ln for ln in lines if not ln.strip().startswith(drop_prefixes)] +def _extract_assistant_reply(stdout: str) -> str: + """Pull just the model's reply out of the chat binary's mixed stdout. + + Layout of `cactus run --prompt`: + ...banner / model load logs... + You: + Assistant: + + ... + [N tokens | latency: ... | total: ... | RAM: ...] + ... + + We grab everything between `Assistant:` and the metrics line that starts + with `[`. Falls back to a chrome-stripping pass if the markers are absent. + """ + marker = "Assistant:" + if marker in stdout: + tail = stdout.split(marker, 1)[1] + reply_lines: list[str] = [] + for line in tail.splitlines(): + stripped = line.strip() + if stripped.startswith("[") and "tokens" in stripped: + break + reply_lines.append(line) + reply = "\n".join(reply_lines).strip() + if reply: + return reply + + drop_prefixes = ("cactus", ">", "loading", "Loading", "[", "═", "─", "You:", "πŸ‘‹") + cleaned = [ + ln for ln in stdout.splitlines() + if ln.strip() and not ln.strip().startswith(drop_prefixes) + ] return "\n".join(cleaned).strip() or stdout.strip() diff --git a/tests/test_integration.py b/tests/test_integration.py index 44a7e6ae..1cb06cd5 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -15,6 +15,7 @@ filter_output, ) from masker.detection import detect +from masker.gemma_wrapper import _extract_assistant_reply from masker.masking import mask, scrub_output from masker.policy import decide from masker.router import Router @@ -81,6 +82,39 @@ def test_filter_output_scrubs_leaked_email(self): self.assertNotIn("jane@example.com", out) +class CactusOutputParserTests(unittest.TestCase): + """The cactus chat binary mixes banner, prompt echo, reply, and metrics + into a single stdout. These tests pin the parser against real samples. + """ + + SAMPLE = """\ +Loading model from /weights/functiongemma-270m-it... +Model loaded successfully! +============================================================ + 🌡 CACTUS CHAT INTERFACE 🌡 +============================================================ +You: Reply with the single word: hello +Assistant: I am sorry, I am unable to assist with this request. +My capabilities are limited. +[40 tokens | latency: 0.029s | total: 0.437s | 91 tok/s | RAM: 125.1 MB] +------------------------------------------------------------ +You: +πŸ‘‹ Goodbye! +""" + + def test_extracts_multiline_reply_and_drops_metrics(self): + reply = _extract_assistant_reply(self.SAMPLE) + self.assertIn("I am sorry", reply) + self.assertIn("My capabilities are limited.", reply) + self.assertNotIn("tokens", reply) + self.assertNotIn("Goodbye", reply) + self.assertNotIn("CACTUS", reply) + + def test_falls_back_when_marker_missing(self): + reply = _extract_assistant_reply("hello world\n[done]") + self.assertIn("hello world", reply) + + class VoiceLoopTests(unittest.TestCase): def test_end_to_end_with_stub_backend(self): loop = VoiceLoop(router=Router(local_backend=StubBackend())) From 5af5bf67593224a1e10b6cab515390bb98713ad8 Mon Sep 17 00:00:00 2001 From: Navendra Jha Date: Sat, 18 Apr 2026 14:26:43 -0700 Subject: [PATCH 04/15] chore: added prompts for each agents --- prompts/CODEX.md | 138 ++++++++++++++++++++++++++++++++++++++++++++++ prompts/CURSOR.md | 0 prompts/ONA.md | 98 ++++++++++++++++++++++++++++++++ 3 files changed, 236 insertions(+) create mode 100644 prompts/CODEX.md create mode 100644 prompts/CURSOR.md create mode 100644 prompts/ONA.md diff --git a/prompts/CODEX.md b/prompts/CODEX.md new file mode 100644 index 00000000..035fe56a --- /dev/null +++ b/prompts/CODEX.md @@ -0,0 +1,138 @@ +You are contributing to Masker, a hackathon project for Cactus + Gemma voice agents. + +Project goal: +Build a demoable on-device privacy layer that detects sensitive speech locally, applies HIPAA-first policy presets, routes requests as `local-only`, `masked-send`, or `safe-to-send`, and is easy to attach to another healthcare voice agent. + +Non-negotiables: +- Must be incremental, testable, and demoable. +- Optimize for a compelling 24-hour demo, not a perfect platform. +- Keep interfaces simple and stable. +- Do not overclaim compliance; this is a HIPAA-first programmable compliance prototype. +- Every feature should either improve: + 1) end-to-end demo reliability, + 2) visual explainability, + 3) ease of external integration. + +Working assumptions from repo: +- Stack is Cactus + Gemma voice agents. +- Core flow is: User β†’ Mic β†’ Cactus STT β†’ Masker β†’ Gemma β†’ Masker β†’ Cactus TTS β†’ Speaker. +- Core routes are: `local-only`, `masked-send`, `safe-to-send`. +- Priority demo scenarios: healthcare + one safe query + one external integration. +- Judge criteria emphasize real problem, enterprise relevance, and MVP/demo quality. + +When you deliver: +- keep changes narrowly scoped +- include tests where applicable +- include a tiny usage example +- include a short handoff note: + - what works + - what is blocked + - what changed + - what next agent needs + +You are Codex, the Privacy Intelligence Agent for Masker. + +Your mission: +Build the core local privacy logic for a Cactus + Gemma voice-agent hackathon demo. + +You own: +- PHI/PII detection +- policy engine +- route decision logic +- masking/tokenization +- basic latency instrumentation for your layer + +Goal for this iteration: +Ship the smallest vertical slice that can be tested independently and consumed by the integration and UI layers. + +Implement incrementally in this order: + +1. Detection schema +Create a stable output type for local detection. It must support: +- entities: array of spans +- entity type +- confidence +- optional health-context flag +- risk level + +Suggested shape: +{ + "entities": [ + { + "type": "ssn", + "value": "123-45-6789", + "start": 11, + "end": 22, + "confidence": 0.98 + } + ], + "risk_level": "high", + "health_context": true +} + +2. Detection MVP +Implement deterministic local detection for: +- SSN +- phone +- email +- basic name/patient identifier placeholder hooks +- basic healthcare-context heuristics such as: + - chest pain + - doctor + - insurance ID + - diagnosis / symptom keywords + +Keep it simple and explainable. Regex + keyword rules are acceptable for hackathon MVP. + +3. Policy engine +Implement three policy presets: +- hipaa_base +- hipaa_logging_strict +- hipaa_clinical_context + +The engine must return a route decision: +- local-only +- masked-send +- safe-to-send + +Suggested shape: +{ + "route": "masked-send", + "policy": "hipaa_base", + "reasons": ["contains_identifier", "health_context_detected"] +} + +4. Masking/tokenization +Implement: +- mask spans to [MASKED] +- optional tokenization stub interface +- context-preserving masked transcript generation + +5. Tests +Add focused unit tests for: +- safe query => safe-to-send +- healthcare + identifier => local-only or masked-send per preset +- personal info => masked-send +- masking correctness + +6. Latency notes +Add lightweight timing hooks around: +- detection +- policy decision +- masking + +Deliverables: +- testable core modules +- 3-5 unit tests minimum +- one example file showing input -> detection -> decision -> masked transcript +- handoff note for Cursor and Ona + +Constraints: +- Do not touch UI. +- Do not build voice loop plumbing. +- Do not create broad framework abstractions. +- Prefer deterministic behavior over cleverness. + +Definition of done for this iteration: +- another agent can call one function with transcript text and receive: + detection result + policy decision + masked transcript \ No newline at end of file diff --git a/prompts/CURSOR.md b/prompts/CURSOR.md new file mode 100644 index 00000000..e69de29b diff --git a/prompts/ONA.md b/prompts/ONA.md new file mode 100644 index 00000000..c87f28f7 --- /dev/null +++ b/prompts/ONA.md @@ -0,0 +1,98 @@ +You are contributing to Masker, a hackathon project for Cactus + Gemma voice agents. + +Project goal: +Build a demoable on-device privacy layer that detects sensitive speech locally, applies HIPAA-first policy presets, routes requests as `local-only`, `masked-send`, or `safe-to-send`, and is easy to attach to another healthcare voice agent. + +Non-negotiables: +- Must be incremental, testable, and demoable. +- Optimize for a compelling 24-hour demo, not a perfect platform. +- Keep interfaces simple and stable. +- Do not overclaim compliance; this is a HIPAA-first programmable compliance prototype. +- Every feature should either improve: + 1) end-to-end demo reliability, + 2) visual explainability, + 3) ease of external integration. + +Working assumptions from repo: +- Stack is Cactus + Gemma voice agents. +- Core flow is: User β†’ Mic β†’ Cactus STT β†’ Masker β†’ Gemma β†’ Masker β†’ Cactus TTS β†’ Speaker. +- Core routes are: `local-only`, `masked-send`, `safe-to-send`. +- Priority demo scenarios: healthcare + one safe query + one external integration. +- Judge criteria emphasize real problem, enterprise relevance, and MVP/demo quality. + +When you deliver: +- keep changes narrowly scoped +- include tests where applicable +- include a tiny usage example +- include a short handoff note: + - what works + - what is blocked + - what changed + - what next agent needs +You are Ona, the Demo & UX Agent for Masker. + +Your mission: +Make the Masker system understandable in seconds during a live hackathon demo. + +You own: +- trace/debug UI +- explanation layer +- demo scenario polish +- demo fallback flow +- concise docs/copy that support the demo + +Goal for this iteration: +Build the smallest UI and explanation layer that makes the privacy flow visually obvious and trustworthy. + +Implement incrementally in this order: + +1. Trace UI +Create a minimal demo surface that shows: +- transcript +- detected entities +- selected policy +- chosen route +- masked transcript when applicable +- concise route explanation + +The UI can be simple and utilitarian. Clarity > polish. + +2. Explanation layer +Add plain-English messages such as: +- β€œDetected insurance ID and health context.” +- β€œApplied HIPAA base policy.” +- β€œMasked identifier before sending to Gemma.” +- β€œKept request local because it contained sensitive health information.” + +3. Demo scenarios +Prepare UI-ready flows for: +- Scenario A: personal info +- Scenario B: healthcare PHI +- Scenario C: safe query + +Make sure the differences between the routes are obvious. + +4. Fallback demo mode +If live audio fails, the system should still be demoable using preloaded scripted transcripts. +Support: +- click to replay transcript +- show trace output deterministically + +5. Demo copy and README polish +If needed, improve any small copy surfaces so the repo and demo tell one coherent story: +β€œMasker is the real-time privacy layer for local voice agents.” + +Deliverables: +- minimal trace/debug UI +- explanation text for each route +- fallback scripted demo mode +- handoff note for orchestrator + +Constraints: +- Do not rewrite core detection or routing logic. +- Do not introduce heavy design systems unless already present. +- Keep the UI extremely easy to demo live. + +Definition of done for this iteration: +- a judge can understand what Masker did within 5-10 seconds of seeing the screen +- the demo can survive even if live input is flaky \ No newline at end of file From 36c6df16855eb047486636a992004319c3b491ee Mon Sep 17 00:00:00 2001 From: Navendra Jha Date: Sat, 18 Apr 2026 21:44:58 +0000 Subject: [PATCH 05/15] feat(ui): add Masker trace UI with scripted demo scenarios - React/Vite/TypeScript app in ui/ - TracePanel shows transcript, detected entities (with risk level and masked values), policy applied, route decision, masked transcript, plain-English explanation, and step-by-step trace log - Three scripted fallback scenarios (personal info, healthcare PHI, safe query) covering all three routes: local-only, masked-send, safe-to-send - MaskerTrace type contract in src/types.ts for Cursor integration - Handoff note in ui/HANDOFF.md Co-authored-by: Ona --- .gitignore | 5 + ui/.eslintrc.cjs | 18 + ui/.gitignore | 24 + ui/HANDOFF.md | 47 + ui/README.md | 27 + ui/index.html | 13 + ui/package-lock.json | 2857 ++++++++++++++++++++++++++++++ ui/package.json | 28 + ui/public/vite.svg | 1 + ui/src/App.css | 203 +++ ui/src/App.tsx | 76 + ui/src/assets/react.svg | 1 + ui/src/components/EntityList.tsx | 67 + ui/src/components/RouteBadge.tsx | 33 + ui/src/components/TraceLog.tsx | 63 + ui/src/components/TracePanel.tsx | 120 ++ ui/src/explanation.ts | 57 + ui/src/index.css | 12 + ui/src/main.tsx | 10 + ui/src/scenarios.ts | 62 + ui/src/types.ts | 34 + ui/src/vite-env.d.ts | 1 + ui/tsconfig.json | 25 + ui/tsconfig.node.json | 10 + ui/vite.config.ts | 7 + 25 files changed, 3801 insertions(+) create mode 100644 ui/.eslintrc.cjs create mode 100644 ui/.gitignore create mode 100644 ui/HANDOFF.md create mode 100644 ui/README.md create mode 100644 ui/index.html create mode 100644 ui/package-lock.json create mode 100644 ui/package.json create mode 100644 ui/public/vite.svg create mode 100644 ui/src/App.css create mode 100644 ui/src/App.tsx create mode 100644 ui/src/assets/react.svg create mode 100644 ui/src/components/EntityList.tsx create mode 100644 ui/src/components/RouteBadge.tsx create mode 100644 ui/src/components/TraceLog.tsx create mode 100644 ui/src/components/TracePanel.tsx create mode 100644 ui/src/explanation.ts create mode 100644 ui/src/index.css create mode 100644 ui/src/main.tsx create mode 100644 ui/src/scenarios.ts create mode 100644 ui/src/types.ts create mode 100644 ui/src/vite-env.d.ts create mode 100644 ui/tsconfig.json create mode 100644 ui/tsconfig.node.json create mode 100644 ui/vite.config.ts diff --git a/.gitignore b/.gitignore index c8e3b2a1..251d3361 100644 --- a/.gitignore +++ b/.gitignore @@ -30,3 +30,8 @@ dist/ # Cactus model weights are pulled via `cactus download`; never commit weights/ + +# Node / UI +node_modules/ +ui/dist/ +ui/.vite/ diff --git a/ui/.eslintrc.cjs b/ui/.eslintrc.cjs new file mode 100644 index 00000000..d6c95379 --- /dev/null +++ b/ui/.eslintrc.cjs @@ -0,0 +1,18 @@ +module.exports = { + root: true, + env: { browser: true, es2020: true }, + extends: [ + 'eslint:recommended', + 'plugin:@typescript-eslint/recommended', + 'plugin:react-hooks/recommended', + ], + ignorePatterns: ['dist', '.eslintrc.cjs'], + parser: '@typescript-eslint/parser', + plugins: ['react-refresh'], + rules: { + 'react-refresh/only-export-components': [ + 'warn', + { allowConstantExport: true }, + ], + }, +} diff --git a/ui/.gitignore b/ui/.gitignore new file mode 100644 index 00000000..a547bf36 --- /dev/null +++ b/ui/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/ui/HANDOFF.md b/ui/HANDOFF.md new file mode 100644 index 00000000..30710c65 --- /dev/null +++ b/ui/HANDOFF.md @@ -0,0 +1,47 @@ +# Ona β€” Handoff Note + +## Status + +### What works +- Full trace/debug UI running at `ui/` (Vite + React + TypeScript) +- Three scripted demo scenarios load instantly β€” no live audio required: + - **Scenario A** (Personal Info) β†’ `masked-send` β€” name, address, SSN masked + - **Scenario B** (Healthcare PHI) β†’ `local-only` β€” health context + insurance ID + provider name kept on device + - **Scenario C** (Safe Query) β†’ `safe-to-send` β€” no entities, forwarded as-is +- Each scenario shows: transcript β†’ detected entities (with risk level + masked value) β†’ policy applied β†’ route decision β†’ masked transcript (when applicable) β†’ plain-English explanation β†’ step-by-step trace log +- Route badges are colour-coded: red = local-only, amber = masked-send, green = safe-to-send +- Zero TypeScript errors, dev server confirmed healthy + +### What is blocked +- Nothing blocking demo. Live audio integration is Cursor's responsibility. + +### What changed +- Created `ui/` directory with full React app +- `src/types.ts` β€” shared type contracts (`MaskerTrace`, `DetectedEntity`, `TraceEvent`, `Route`, `Policy`, `EntityType`) +- `src/scenarios.ts` β€” three scripted demo scenarios matching the backlog spec +- `src/explanation.ts` β€” label/colour/description maps for routes, policies, entities, risk levels +- `src/components/TracePanel.tsx` β€” main demo surface +- `src/components/EntityList.tsx` β€” entity rows with risk colour + masked value +- `src/components/TraceLog.tsx` β€” step-by-step trace with stage labels +- `src/components/RouteBadge.tsx` β€” colour-coded route pill + +### What the next agent (Cursor / Orchestrator) needs + +1. **Live trace injection** β€” replace the static `SCENARIOS` array with real output from the Masker detection + policy engine. The UI expects a `MaskerTrace` object (see `src/types.ts`). Drop it into `src/scenarios.ts` or pass it as a prop to ``. + +2. **Contract** β€” detection output must match: + ```ts + interface MaskerTrace { + id: string; + label: string; + transcript: string; + entities: DetectedEntity[]; // { type, value, masked } + policy: Policy; // 'hipaa_base' | 'hipaa_clinical' | 'hipaa_logging' | 'none' + route: Route; // 'local-only' | 'masked-send' | 'safe-to-send' + maskedTranscript: string | null; + explanation: string; + traceEvents: TraceEvent[]; // { stage: 'detection'|'policy'|'masking'|'routing', message } + } + ``` + +3. **Run the UI** β€” `cd ui && npm install && npm run dev` diff --git a/ui/README.md b/ui/README.md new file mode 100644 index 00000000..1ebe379f --- /dev/null +++ b/ui/README.md @@ -0,0 +1,27 @@ +# React + TypeScript + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react/README.md) uses [Babel](https://babeljs.io/) for Fast Refresh +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh + +## Expanding the ESLint configuration + +If you are developing a production application, we recommend updating the configuration to enable type aware lint rules: + +- Configure the top-level `parserOptions` property like this: + +```js + parserOptions: { + ecmaVersion: 'latest', + sourceType: 'module', + project: ['./tsconfig.json', './tsconfig.node.json'], + tsconfigRootDir: __dirname, + }, +``` + +- Replace `plugin:@typescript-eslint/recommended` to `plugin:@typescript-eslint/recommended-type-checked` or `plugin:@typescript-eslint/strict-type-checked` +- Optionally add `plugin:@typescript-eslint/stylistic-type-checked` +- Install [eslint-plugin-react](https://github.com/jsx-eslint/eslint-plugin-react) and add `plugin:react/recommended` & `plugin:react/jsx-runtime` to the `extends` list diff --git a/ui/index.html b/ui/index.html new file mode 100644 index 00000000..e4b78eae --- /dev/null +++ b/ui/index.html @@ -0,0 +1,13 @@ + + + + + + + Vite + React + TS + + +
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"devDependencies": { + "@types/react": "^18.2.15", + "@types/react-dom": "^18.2.7", + "@typescript-eslint/eslint-plugin": "^6.0.0", + "@typescript-eslint/parser": "^6.0.0", + "@vitejs/plugin-react": "^4.0.3", + "eslint": "^8.45.0", + "eslint-plugin-react-hooks": "^4.6.0", + "eslint-plugin-react-refresh": "^0.4.3", + "typescript": "^5.0.2", + "vite": "^4.4.5" + } +} diff --git a/ui/public/vite.svg b/ui/public/vite.svg new file mode 100644 index 00000000..e7b8dfb1 --- /dev/null +++ b/ui/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/ui/src/App.css b/ui/src/App.css new file mode 100644 index 00000000..62f9f50e --- /dev/null +++ b/ui/src/App.css @@ -0,0 +1,203 @@ +* { + box-sizing: border-box; + margin: 0; + padding: 0; +} + +body { + background: #020817; + color: #e2e8f0; + font-family: Inter, system-ui, sans-serif; + min-height: 100vh; + display: block; +} + +#root { + min-height: 100vh; + display: flex; + flex-direction: column; +} + +.app { + display: flex; + flex-direction: column; + min-height: 100vh; +} + +/* ── Header ── */ +.app-header { + display: flex; + align-items: center; + justify-content: space-between; + padding: 14px 24px; + background: #0a0f1e; + border-bottom: 1px solid #1e293b; + gap: 16px; + flex-shrink: 0; +} + +.app-header-left { + display: flex; + align-items: center; + gap: 12px; +} + +.app-logo { + font-size: 1.6rem; + line-height: 1; +} + +.app-title { + font-size: 1.2rem; + font-weight: 700; + color: #f1f5f9; + letter-spacing: -0.01em; +} + +.app-subtitle { + font-size: 0.75rem; + color: #475569; + margin-top: 2px; +} + +.app-pipeline { + font-family: monospace; + font-size: 0.78rem; + color: #334155; + white-space: nowrap; +} + +.app-pipeline strong { + color: #818cf8; +} + +/* ── Body ── */ +.app-body { + display: flex; + flex: 1; + overflow: hidden; + min-height: 0; +} + +/* ── Sidebar ── */ +.sidebar { + width: 240px; + flex-shrink: 0; + background: #080d1a; + border-right: 1px solid #1e293b; + padding: 16px 12px; + display: flex; + flex-direction: column; + gap: 6px; + overflow-y: auto; +} + +.sidebar-label { + font-size: 0.65rem; + font-weight: 700; + text-transform: uppercase; + letter-spacing: 0.1em; + color: #334155; + padding: 4px 4px 6px; +} + +.sidebar-divider { + height: 1px; + background: #1e293b; + margin: 8px 0; +} + +.scenario-btn { + display: flex; + flex-direction: column; + align-items: flex-start; + gap: 6px; + width: 100%; + background: transparent; + border: 1px solid transparent; + border-radius: 6px; + padding: 10px 10px; + cursor: pointer; + text-align: left; + transition: background 0.15s, border-color 0.15s; + color: #94a3b8; +} + +.scenario-btn:hover { + background: #0f172a; + border-color: #1e293b; +} + +.scenario-btn.active { + background: #0f172a; + border-color: #334155; + color: #e2e8f0; +} + +.scenario-btn-label { + font-size: 0.8rem; + font-weight: 500; + line-height: 1.3; +} + +/* ── Flow diagram ── */ +.flow-diagram { + display: flex; + flex-direction: column; + align-items: flex-start; + gap: 2px; + padding: 4px 4px; +} + +.flow-step { + font-size: 0.78rem; + color: #475569; + padding: 3px 8px; + border-radius: 4px; +} + +.flow-step.highlight { + color: #818cf8; + background: #1e1b4b33; + font-weight: 600; +} + +.flow-arrow { + font-size: 0.75rem; + color: #1e293b; + padding-left: 12px; +} + +/* ── Main panel ── */ +.main-panel { + flex: 1; + padding: 24px 28px; + overflow-y: auto; + display: flex; + flex-direction: column; + gap: 16px; +} + +.main-panel-header { + display: flex; + align-items: center; + gap: 14px; + flex-wrap: wrap; +} + +.main-panel-title { + font-size: 1rem; + font-weight: 600; + color: #94a3b8; + letter-spacing: -0.01em; +} + +/* ── Footer ── */ +.app-footer { + padding: 10px 24px; + font-size: 0.7rem; + color: #1e293b; + border-top: 1px solid #0f172a; + text-align: center; + flex-shrink: 0; +} diff --git a/ui/src/App.tsx b/ui/src/App.tsx new file mode 100644 index 00000000..ca649513 --- /dev/null +++ b/ui/src/App.tsx @@ -0,0 +1,76 @@ +import { useState } from 'react'; +import { SCENARIOS } from './scenarios'; +import { TracePanel } from './components/TracePanel'; +import { RouteBadge } from './components/RouteBadge'; +import './App.css'; + +function App() { + const [activeId, setActiveId] = useState(SCENARIOS[0].id); + const active = SCENARIOS.find((s) => s.id === activeId)!; + + return ( +
+ {/* Header */} +
+
+ πŸ›‘οΈ +
+
Masker
+
Real-time privacy layer for local voice agents
+
+
+
+ + Mic β†’ Cactus STT β†’ Masker β†’ Gemma β†’ Cactus TTS β†’ Speaker + +
+
+ +
+ {/* Scenario selector sidebar */} + + + {/* Main trace panel */} +
+
+

{active.label}

+
+ +
+
+ +
+ Masker Β· Hackathon prototype Β· HIPAA-first programmable compliance for Cactus + Gemma voice agents +
+
+ ); +} + +export default App; diff --git a/ui/src/assets/react.svg b/ui/src/assets/react.svg new file mode 100644 index 00000000..6c87de9b --- /dev/null +++ b/ui/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/ui/src/components/EntityList.tsx b/ui/src/components/EntityList.tsx new file mode 100644 index 00000000..dcd5815b --- /dev/null +++ b/ui/src/components/EntityList.tsx @@ -0,0 +1,67 @@ +import type { DetectedEntity } from '../types'; +import { ENTITY_LABELS, ENTITY_RISK, RISK_COLORS } from '../explanation'; + +interface Props { + entities: DetectedEntity[]; +} + +export function EntityList({ entities }: Props) { + if (entities.length === 0) { + return ( +
+ No sensitive entities detected +
+ ); + } + + return ( +
+ {entities.map((e, i) => { + const risk = ENTITY_RISK[e.type]; + const color = RISK_COLORS[risk]; + return ( +
+ + {risk} risk + + + {ENTITY_LABELS[e.type]} + + + {e.value} + β†’ + {e.masked} + +
+ ); + })} +
+ ); +} diff --git a/ui/src/components/RouteBadge.tsx b/ui/src/components/RouteBadge.tsx new file mode 100644 index 00000000..de16b520 --- /dev/null +++ b/ui/src/components/RouteBadge.tsx @@ -0,0 +1,33 @@ +import type { Route } from '../types'; +import { ROUTE_LABELS, ROUTE_COLORS } from '../explanation'; + +interface Props { + route: Route; + size?: 'sm' | 'lg'; +} + +export function RouteBadge({ route, size = 'sm' }: Props) { + const color = ROUTE_COLORS[route]; + const fontSize = size === 'lg' ? '1rem' : '0.75rem'; + const padding = size === 'lg' ? '6px 14px' : '3px 10px'; + + return ( + + {ROUTE_LABELS[route]} + + ); +} diff --git a/ui/src/components/TraceLog.tsx b/ui/src/components/TraceLog.tsx new file mode 100644 index 00000000..c760312e --- /dev/null +++ b/ui/src/components/TraceLog.tsx @@ -0,0 +1,63 @@ +import type { TraceEvent } from '../types'; + +const STAGE_COLORS: Record = { + detection: '#818cf8', + policy: '#f59e0b', + masking: '#f87171', + routing: '#22c55e', +}; + +const STAGE_ICONS: Record = { + detection: 'πŸ”', + policy: 'πŸ“‹', + masking: 'πŸ”’', + routing: 'β†’', +}; + +interface Props { + events: TraceEvent[]; +} + +export function TraceLog({ events }: Props) { + return ( +
+ {events.map((ev, i) => { + const color = STAGE_COLORS[ev.stage]; + return ( +
+ + {String(i + 1).padStart(2, '0')} + + + {STAGE_ICONS[ev.stage]} + + + {ev.stage} + + {ev.message} +
+ ); + })} +
+ ); +} diff --git a/ui/src/components/TracePanel.tsx b/ui/src/components/TracePanel.tsx new file mode 100644 index 00000000..4721b0da --- /dev/null +++ b/ui/src/components/TracePanel.tsx @@ -0,0 +1,120 @@ +import type { MaskerTrace } from '../types'; +import { POLICY_LABELS, ROUTE_DESCRIPTIONS } from '../explanation'; +import { RouteBadge } from './RouteBadge'; +import { EntityList } from './EntityList'; +import { TraceLog } from './TraceLog'; + +interface Props { + trace: MaskerTrace; +} + +const SECTION_STYLE: React.CSSProperties = { + background: '#0f172a', + border: '1px solid #1e293b', + borderRadius: 8, + padding: '14px 16px', +}; + +const LABEL_STYLE: React.CSSProperties = { + fontSize: '0.7rem', + fontWeight: 700, + textTransform: 'uppercase', + letterSpacing: '0.08em', + color: '#475569', + marginBottom: 8, +}; + +export function TracePanel({ trace }: Props) { + return ( +
+ + {/* Route β€” most prominent */} +
+
+
Decision
+ +
+
+ {ROUTE_DESCRIPTIONS[trace.route]} +
+
+ + {/* Transcript */} +
+
Transcript
+
+ "{trace.transcript}" +
+
+ + {/* Detected entities */} +
+
+ Detected Entities ({trace.entities.length}) +
+ +
+ + {/* Policy */} +
+
Policy Applied
+
+ {POLICY_LABELS[trace.policy]} +
+
+ + {/* Masked transcript β€” only when applicable */} + {trace.maskedTranscript && ( +
+
Masked Transcript (sent to Gemma)
+
+ "{trace.maskedTranscript}" +
+
+ )} + + {/* Explanation */} +
+
Explanation
+
+ {trace.explanation} +
+
+ + {/* Trace log */} +
+
Trace Log
+ +
+ +
+ ); +} diff --git a/ui/src/explanation.ts b/ui/src/explanation.ts new file mode 100644 index 00000000..c2cbf8a6 --- /dev/null +++ b/ui/src/explanation.ts @@ -0,0 +1,57 @@ +import type { Route, Policy, EntityType } from './types'; + +export const ROUTE_LABELS: Record = { + 'local-only': 'Local Only', + 'masked-send': 'Masked Send', + 'safe-to-send': 'Safe to Send', +}; + +export const ROUTE_COLORS: Record = { + 'local-only': '#ef4444', // red + 'masked-send': '#f59e0b', // amber + 'safe-to-send': '#22c55e', // green +}; + +export const ROUTE_DESCRIPTIONS: Record = { + 'local-only': + 'Sensitive health data detected. Request handled entirely on-device β€” nothing leaves.', + 'masked-send': + 'Identifiers masked before forwarding. The model receives context without raw PII.', + 'safe-to-send': + 'No sensitive data found. Request forwarded as-is.', +}; + +export const POLICY_LABELS: Record = { + hipaa_base: 'HIPAA Base', + hipaa_logging: 'HIPAA Logging (Strict)', + hipaa_clinical: 'HIPAA Clinical', + none: 'No Policy', +}; + +export const ENTITY_LABELS: Record = { + ssn: 'Social Security Number', + phone: 'Phone Number', + email: 'Email Address', + name: 'Name', + insurance_id: 'Insurance ID', + address: 'Address', + health_context: 'Health Context', + work_context: 'Work Context', +}; + +export const ENTITY_RISK: Record = { + ssn: 'high', + insurance_id: 'high', + health_context: 'high', + name: 'medium', + phone: 'medium', + email: 'medium', + address: 'medium', + work_context: 'low', +}; + +export const RISK_COLORS: Record<'high' | 'medium' | 'low', string> = { + high: '#ef4444', + medium: '#f59e0b', + low: '#3b82f6', +}; diff --git a/ui/src/index.css b/ui/src/index.css new file mode 100644 index 00000000..847107f1 --- /dev/null +++ b/ui/src/index.css @@ -0,0 +1,12 @@ +*, *::before, *::after { + box-sizing: border-box; +} + +body { + margin: 0; + background: #020817; + color: #e2e8f0; + font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} diff --git a/ui/src/main.tsx b/ui/src/main.tsx new file mode 100644 index 00000000..3d7150da --- /dev/null +++ b/ui/src/main.tsx @@ -0,0 +1,10 @@ +import React from 'react' +import ReactDOM from 'react-dom/client' +import App from './App.tsx' +import './index.css' + +ReactDOM.createRoot(document.getElementById('root')!).render( + + + , +) diff --git a/ui/src/scenarios.ts b/ui/src/scenarios.ts new file mode 100644 index 00000000..ac5cfb90 --- /dev/null +++ b/ui/src/scenarios.ts @@ -0,0 +1,62 @@ +import type { MaskerTrace } from './types'; + +export const SCENARIOS: MaskerTrace[] = [ + { + id: 'scenario-a', + label: 'Scenario A β€” Personal Info', + transcript: "Text Sarah my address is 4821 Maple Drive and my SSN is 482-55-1234.", + entities: [ + { type: 'name', value: 'Sarah', masked: '[NAME]' }, + { type: 'address', value: '4821 Maple Drive', masked: '[ADDRESS]' }, + { type: 'ssn', value: '482-55-1234', masked: '[SSN]' }, + ], + policy: 'hipaa_base', + route: 'masked-send', + maskedTranscript: "Text [NAME] my address is [ADDRESS] and my SSN is [SSN].", + explanation: + "Detected a name, home address, and Social Security Number. Applied HIPAA base policy. Masked all identifiers before forwarding β€” the request can be answered without exposing raw PII.", + traceEvents: [ + { stage: 'detection', message: 'Detected: name, address, SSN' }, + { stage: 'policy', message: 'Applied HIPAA base policy' }, + { stage: 'masking', message: 'Masked name β†’ [NAME], address β†’ [ADDRESS], SSN β†’ [SSN]' }, + { stage: 'routing', message: 'Route: masked-send β€” identifiers removed, safe to forward' }, + ], + }, + { + id: 'scenario-b', + label: 'Scenario B β€” Healthcare PHI', + transcript: "I have chest pain and my insurance ID is INS-8821-X. My doctor is Dr. Patel.", + entities: [ + { type: 'health_context', value: 'chest pain', masked: '[HEALTH_CONTEXT]' }, + { type: 'insurance_id', value: 'INS-8821-X', masked: '[INSURANCE_ID]' }, + { type: 'name', value: 'Dr. Patel', masked: '[NAME]' }, + ], + policy: 'hipaa_clinical', + route: 'local-only', + maskedTranscript: null, + explanation: + "Detected health context combined with an insurance ID and provider name β€” a high-risk PHI combination. Applied HIPAA clinical policy. Request kept fully local; no data leaves the device.", + traceEvents: [ + { stage: 'detection', message: 'Detected: health context, insurance ID, provider name' }, + { stage: 'policy', message: 'Applied HIPAA clinical policy β€” high-risk PHI combination' }, + { stage: 'masking', message: 'Masking skipped β€” request will not leave device' }, + { stage: 'routing', message: 'Route: local-only β€” sensitive health data stays on device' }, + ], + }, + { + id: 'scenario-c', + label: 'Scenario C β€” Safe Query', + transcript: "What's the weather in San Francisco tomorrow?", + entities: [], + policy: 'none', + route: 'safe-to-send', + maskedTranscript: null, + explanation: + "No sensitive entities detected. No policy applied. Request is safe to forward as-is.", + traceEvents: [ + { stage: 'detection', message: 'No sensitive entities detected' }, + { stage: 'policy', message: 'No policy required' }, + { stage: 'routing', message: 'Route: safe-to-send β€” request forwarded unmodified' }, + ], + }, +]; diff --git a/ui/src/types.ts b/ui/src/types.ts new file mode 100644 index 00000000..9e1294d1 --- /dev/null +++ b/ui/src/types.ts @@ -0,0 +1,34 @@ +export type Route = 'local-only' | 'masked-send' | 'safe-to-send'; +export type Policy = 'hipaa_base' | 'hipaa_logging' | 'hipaa_clinical' | 'none'; +export type EntityType = + | 'ssn' + | 'phone' + | 'email' + | 'name' + | 'insurance_id' + | 'address' + | 'health_context' + | 'work_context'; + +export interface DetectedEntity { + type: EntityType; + value: string; + masked: string; +} + +export interface TraceEvent { + stage: 'detection' | 'policy' | 'masking' | 'routing'; + message: string; +} + +export interface MaskerTrace { + id: string; + label: string; + transcript: string; + entities: DetectedEntity[]; + policy: Policy; + route: Route; + maskedTranscript: string | null; + explanation: string; + traceEvents: TraceEvent[]; +} diff --git a/ui/src/vite-env.d.ts b/ui/src/vite-env.d.ts new file mode 100644 index 00000000..11f02fe2 --- /dev/null +++ b/ui/src/vite-env.d.ts @@ -0,0 +1 @@ +/// diff --git a/ui/tsconfig.json b/ui/tsconfig.json new file mode 100644 index 00000000..a7fc6fbf --- /dev/null +++ b/ui/tsconfig.json @@ -0,0 +1,25 @@ +{ + "compilerOptions": { + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true + }, + "include": ["src"], + "references": [{ "path": "./tsconfig.node.json" }] +} diff --git a/ui/tsconfig.node.json b/ui/tsconfig.node.json new file mode 100644 index 00000000..42872c59 --- /dev/null +++ b/ui/tsconfig.node.json @@ -0,0 +1,10 @@ +{ + "compilerOptions": { + "composite": true, + "skipLibCheck": true, + "module": "ESNext", + "moduleResolution": "bundler", + "allowSyntheticDefaultImports": true + }, + "include": ["vite.config.ts"] +} diff --git a/ui/vite.config.ts b/ui/vite.config.ts new file mode 100644 index 00000000..5a33944a --- /dev/null +++ b/ui/vite.config.ts @@ -0,0 +1,7 @@ +import { defineConfig } from 'vite' +import react from '@vitejs/plugin-react' + +// https://vitejs.dev/config/ +export default defineConfig({ + plugins: [react()], +}) From 4ba3db6372f50da1e3f6b7cf35421da06827cf43 Mon Sep 17 00:00:00 2001 From: Navendra Jha Date: Sat, 18 Apr 2026 14:40:13 -0700 Subject: [PATCH 06/15] Add privacy pipeline MVP --- docs/wiki/CODEX_HANDOFF.md | 8 ++ masker/README.md | 12 ++- masker/__init__.py | 19 +++-- masker/contracts.py | 25 +++++- masker/demo.py | 7 +- masker/detection.py | 155 +++++++++++++++++++++++++++++-------- masker/example_privacy.py | 31 ++++++++ masker/masking.py | 30 +++++-- masker/policy.py | 85 +++++++++++++++----- masker/privacy.py | 76 ++++++++++++++++++ tests/test_integration.py | 32 +++++++- 11 files changed, 407 insertions(+), 73 deletions(-) create mode 100644 docs/wiki/CODEX_HANDOFF.md create mode 100644 masker/example_privacy.py create mode 100644 masker/privacy.py diff --git a/docs/wiki/CODEX_HANDOFF.md b/docs/wiki/CODEX_HANDOFF.md new file mode 100644 index 00000000..212157f3 --- /dev/null +++ b/docs/wiki/CODEX_HANDOFF.md @@ -0,0 +1,8 @@ +### Status +- What works: `masker.analyze_transcript()` now returns detection result, policy decision, masked transcript, and per-stage timings in one call. +- What works: deterministic detection covers SSN, phone, email, MRN, DOB, address, insurance ID, simple name hooks, patient identifier hooks, and healthcare-context keywords. +- What works: HIPAA-first presets are wired as `hipaa_base`, `hipaa_logging_strict`, and `hipaa_clinical_context`, with explicit decision reasons for UI/explanations. +- What is blocked: detection is intentionally regex-and-keyword based for the hackathon MVP, so recall and precision are limited outside the seeded demo scenarios. +- What changed: shared contracts gained `health_context`, `reasons`, replacement metadata, and timing output; masking now preserves clinical context while redacting only sensitive spans. +- What next agent needs: Cursor can call `analyze_transcript()` or keep using `filter_input()` and forward `meta["reasons"]` plus `meta["timings"]` into routing/logging. +- What next agent needs: Ona can render `DetectionResult.health_context`, `PolicyDecision.reasons`, and masking replacements as the explanation trace for the demo. diff --git a/masker/README.md b/masker/README.md index 84a33e3f..6b72e86c 100644 --- a/masker/README.md +++ b/masker/README.md @@ -22,12 +22,20 @@ today; Codex replaces those bodies without touching this package's surface. ## Public API (3 calls + a class) ```python -from masker import filter_input, filter_output, auto_attach, default_loop +from masker import analyze_transcript, filter_input, filter_output, auto_attach, default_loop # 1. Drop-in helpers β€” what other hackathon teams will call: safe_prompt, meta = filter_input("My SSN is 123-45-6789.") safe_response = filter_output(model_reply) +# 1b. Single-call privacy pipeline for integrations and the trace UI: +privacy = analyze_transcript( + "My doctor said I have chest pain and my insurance ID is BCBS-887421.", + policy_name="hipaa_clinical_context", +) +print(privacy.policy.route) # 'local-only' +print(privacy.masked.text) # '... insurance ID is [MASKED].' + # 2. Auto-attach to google-genai so existing Gemini code is masked transparently: auto_attach() # then the team's existing client.models.generate_content(...) is filtered @@ -78,7 +86,7 @@ shapes in `AGENTS.md`: ```python DetectionResult(entities=[...], risk_level="high") -PolicyDecision(route="masked-send", policy="hipaa_base", rationale="...") +PolicyDecision(route="masked-send", policy="hipaa_base", reasons=["contains_identifier"], rationale="...") TraceEvent(stage="masking", message="Masked SSN", elapsed_ms=1.2, payload={...}) TurnResult(...) # the full per-turn artifact returned by VoiceLoop ``` diff --git a/masker/__init__.py b/masker/__init__.py index 0c090bb9..2f8811f8 100644 --- a/masker/__init__.py +++ b/masker/__init__.py @@ -33,6 +33,7 @@ auto_attach, default_backend, ) +from .privacy import PrivacyPipelineResult, PrivacyTimings, analyze_transcript from .router import Router, default_router from .trace import Tracer from .voice_loop import VoiceLoop, default_loop @@ -43,20 +44,21 @@ def filter_input(text: str, *, policy_name: PolicyName = "hipaa_base") -> tuple[ version plus a metadata dict (route, entities, token_map). The most common integration point for other teams. """ - from . import detection as _detection - from . import masking as _masking - from . import policy as _policy - - det = _detection.detect(text) - decision = _policy.decide(det, policy_name=policy_name) - masked = _masking.mask(text, det) + result = analyze_transcript(text, policy_name=policy_name) + det = result.detection + decision = result.policy + masked = result.masked return masked.text, { "route": decision.route, "policy": decision.policy, + "reasons": list(decision.reasons), "rationale": decision.rationale, "entities": [e.to_dict() for e in det.entities], "risk_level": det.risk_level, + "health_context": det.health_context, "token_map": masked.token_map, + "replacements": masked.replacements, + "timings": result.timings.to_dict(), } @@ -82,6 +84,8 @@ def filter_output(text: str) -> str: "MaskedText", "PolicyDecision", "PolicyName", + "PrivacyPipelineResult", + "PrivacyTimings", "Route", "Router", "StubBackend", @@ -90,6 +94,7 @@ def filter_output(text: str) -> str: "TurnResult", "VoiceLoop", "auto_attach", + "analyze_transcript", "default_backend", "default_loop", "default_router", diff --git a/masker/contracts.py b/masker/contracts.py index d9f31554..5ae85bd9 100644 --- a/masker/contracts.py +++ b/masker/contracts.py @@ -25,7 +25,11 @@ class EntityType(str, Enum): RiskLevel = Literal["none", "low", "medium", "high"] Route = Literal["local-only", "masked-send", "safe-to-send"] -PolicyName = Literal["hipaa_base", "hipaa_logging", "hipaa_clinical"] +PolicyName = Literal[ + "hipaa_base", + "hipaa_logging_strict", + "hipaa_clinical_context", +] @dataclass(frozen=True) @@ -37,6 +41,7 @@ class Entity: start: int = -1 end: int = -1 confidence: float = 1.0 + health_context: bool = False def to_dict(self) -> dict[str, Any]: return { @@ -45,6 +50,7 @@ def to_dict(self) -> dict[str, Any]: "start": self.start, "end": self.end, "confidence": self.confidence, + "health_context": self.health_context, } @@ -57,11 +63,13 @@ class DetectionResult: entities: list[Entity] risk_level: RiskLevel + health_context: bool = False def to_dict(self) -> dict[str, Any]: return { "entities": [e.to_dict() for e in self.entities], "risk_level": self.risk_level, + "health_context": self.health_context, } @property @@ -78,10 +86,16 @@ class PolicyDecision: route: Route policy: PolicyName + reasons: list[str] = field(default_factory=list) rationale: str = "" def to_dict(self) -> dict[str, Any]: - return {"route": self.route, "policy": self.policy, "rationale": self.rationale} + return { + "route": self.route, + "policy": self.policy, + "reasons": list(self.reasons), + "rationale": self.rationale, + } @dataclass(frozen=True) @@ -92,9 +106,14 @@ class MaskedText: text: str token_map: dict[str, str] = field(default_factory=dict) + replacements: list[dict[str, Any]] = field(default_factory=list) def to_dict(self) -> dict[str, Any]: - return {"text": self.text, "token_map": dict(self.token_map)} + return { + "text": self.text, + "token_map": dict(self.token_map), + "replacements": list(self.replacements), + } TraceStage = Literal[ diff --git a/masker/demo.py b/masker/demo.py index 4962c570..af834a5c 100644 --- a/masker/demo.py +++ b/masker/demo.py @@ -71,7 +71,11 @@ def _backend_from_arg(name: str): def main(argv: list[str] | None = None) -> int: p = argparse.ArgumentParser(description="Run the four BACKLOG scenarios end-to-end.") p.add_argument("--backend", choices=["stub", "cactus", "gemini", "auto"], default="stub") - p.add_argument("--policy", choices=["hipaa_base", "hipaa_logging", "hipaa_clinical"], default="hipaa_base") + p.add_argument( + "--policy", + choices=["hipaa_base", "hipaa_logging_strict", "hipaa_clinical_context"], + default="hipaa_base", + ) p.add_argument("--json", action="store_true", help="emit machine-readable JSONL") p.add_argument("--scenario", help="run only the scenario whose label contains this string") args = p.parse_args(argv) @@ -104,6 +108,7 @@ def main(argv: list[str] | None = None) -> int: print(f" user : {s.text}") print(f" detected : {[e.type.value for e in result.detection.entities]} (risk={result.detection.risk_level})") print(f" policy : {result.policy.route} (expected={s.expected_route})") + print(f" reasons : {', '.join(result.policy.reasons)}") print(f" rationale : {result.policy.rationale}") print(f" masked : {result.masked_input.text}") print(f" β†’ model : {result.model_output[:160]}") diff --git a/masker/detection.py b/masker/detection.py index fef70d33..b554095c 100644 --- a/masker/detection.py +++ b/masker/detection.py @@ -15,23 +15,84 @@ from .contracts import DetectionResult, Entity, EntityType, RiskLevel -_PATTERNS: list[tuple[EntityType, Pattern[str]]] = [ - (EntityType.SSN, re.compile(r"\b\d{3}-\d{2}-\d{4}\b")), - (EntityType.PHONE, re.compile(r"\b(?:\+?1[-.\s]?)?\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}\b")), - (EntityType.EMAIL, re.compile(r"\b[\w.+-]+@[\w-]+\.[\w.-]+\b")), - (EntityType.INSURANCE_ID, re.compile(r"\b(?:insurance|member|policy)\s*(?:id|#|number)?\s*[:#]?\s*([A-Z0-9-]{6,})\b", re.IGNORECASE)), - (EntityType.MRN, re.compile(r"\bMRN\s*[:#]?\s*([A-Z0-9-]{4,})\b", re.IGNORECASE)), - (EntityType.DOB, re.compile(r"\b(?:0?[1-9]|1[0-2])[/-](?:0?[1-9]|[12]\d|3[01])[/-](?:19|20)\d{2}\b")), - (EntityType.ADDRESS, re.compile(r"\b\d{1,5}\s+[A-Z][a-z]+(?:\s+(?:Street|St|Avenue|Ave|Road|Rd|Boulevard|Blvd|Drive|Dr|Lane|Ln|Way))?\b")), +_PATTERNS: list[tuple[EntityType, Pattern[str], float]] = [ + (EntityType.SSN, re.compile(r"\b\d{3}-\d{2}-\d{4}\b"), 0.99), + ( + EntityType.PHONE, + re.compile(r"(? None: + if any(existing.start == start and existing.end == end and existing.type == type_ for existing in entities): + return + entities.append( + Entity( + type=type_, + value=value, + start=start, + end=end, + confidence=confidence, + health_context=health_context, + ) + ) + def _risk_from_entities(entities: list[Entity], has_health_context: bool) -> RiskLevel: if not entities and not has_health_context: @@ -53,35 +114,61 @@ def detect(text: str) -> DetectionResult: Keep returning a DetectionResult so the rest of the pipeline is unaffected. """ entities: list[Entity] = [] - for etype, pattern in _PATTERNS: + for etype, pattern, confidence in _PATTERNS: for m in pattern.finditer(text): - value = m.group(1) if m.groups() else m.group(0) - entities.append( - Entity( - type=etype, - value=value, - start=m.start(), - end=m.end(), - confidence=0.9, - ) + has_capture = bool(m.groups()) + value = m.group(1) if has_capture else m.group(0) + _append_entity( + entities, + type_=etype, + value=value, + start=m.start(1) if has_capture else m.start(), + end=m.end(1) if has_capture else m.end(), + confidence=confidence, ) - has_health = bool(_HEALTH_KEYWORDS.search(text)) - if has_health: - m = _HEALTH_KEYWORDS.search(text) - if m: - entities.append( - Entity( - type=EntityType.HEALTH_CONTEXT, - value=m.group(0), - start=m.start(), - end=m.end(), - confidence=0.7, - ) + for etype, pattern, confidence in _PATIENT_ID_PATTERNS: + for m in pattern.finditer(text): + _append_entity( + entities, + type_=etype, + value=m.group(1), + start=m.start(1), + end=m.end(1), + confidence=confidence, + health_context=True, + ) + + for pattern in _NAME_PATTERNS: + for m in pattern.finditer(text): + _append_entity( + entities, + type_=EntityType.NAME, + value=m.group(1), + start=m.start(1), + end=m.end(1), + confidence=0.72, ) + health_matches = list(_HEALTH_KEYWORDS.finditer(text)) + has_health = bool(health_matches) + for m in health_matches: + _append_entity( + entities, + type_=EntityType.HEALTH_CONTEXT, + value=m.group(0), + start=m.start(), + end=m.end(), + confidence=0.7, + health_context=True, + ) + risk = _risk_from_entities( [e for e in entities if e.type != EntityType.HEALTH_CONTEXT], has_health, ) - return DetectionResult(entities=entities, risk_level=risk) + return DetectionResult( + entities=sorted(entities, key=lambda entity: (entity.start, entity.end, entity.type.value)), + risk_level=risk, + health_context=has_health, + ) diff --git a/masker/example_privacy.py b/masker/example_privacy.py new file mode 100644 index 00000000..1498396f --- /dev/null +++ b/masker/example_privacy.py @@ -0,0 +1,31 @@ +"""Tiny usage example for the Codex privacy pipeline. + +Run: + python -m masker.example_privacy +""" + +from __future__ import annotations + +import json + +from .privacy import analyze_transcript + + +def main() -> None: + text = "My doctor said I have chest pain and my insurance ID is BCBS-887421." + result = analyze_transcript(text, policy_name="hipaa_clinical_context") + + print("INPUT") + print(text) + print("\nDETECTION") + print(json.dumps(result.detection.to_dict(), indent=2)) + print("\nDECISION") + print(json.dumps(result.policy.to_dict(), indent=2)) + print("\nMASKED") + print(result.masked.text) + print("\nTIMINGS") + print(json.dumps(result.timings.to_dict(), indent=2)) + + +if __name__ == "__main__": + main() diff --git a/masker/masking.py b/masker/masking.py index 8e9f0cef..b132cb54 100644 --- a/masker/masking.py +++ b/masker/masking.py @@ -14,7 +14,7 @@ import hashlib from typing import Literal -from .contracts import DetectionResult, MaskedText +from .contracts import DetectionResult, EntityType, MaskedText MaskMode = Literal["placeholder", "token"] @@ -37,23 +37,41 @@ def mask( to the same redacted entity multiple times. """ spans = sorted( - [e for e in detection.entities if e.start >= 0 and e.end > e.start], + [ + e + for e in detection.entities + if e.start >= 0 and e.end > e.start and e.type != EntityType.HEALTH_CONTEXT + ], key=lambda e: e.start, reverse=True, ) out = text token_map: dict[str, str] = {} + replacements: list[dict[str, str | int]] = [] + occupied: list[tuple[int, int]] = [] for e in spans: + if any(not (e.end <= start or e.start >= end) for start, end in occupied): + continue if mode == "token": replacement = _token_for(e.value) token_map[replacement] = e.value else: - replacement = f"[MASKED:{e.type.value}]" - token_map[replacement] = e.value + replacement = "[MASKED]" out = out[: e.start] + replacement + out[e.end :] + replacements.append( + { + "type": e.type.value, + "original": e.value, + "replacement": replacement, + "start": e.start, + "end": e.end, + } + ) + occupied.append((e.start, e.end)) - return MaskedText(text=out, token_map=token_map) + replacements.reverse() + return MaskedText(text=out, token_map=token_map, replacements=replacements) def unmask(text: str, masked: MaskedText) -> str: @@ -75,5 +93,5 @@ def scrub_output(text: str, detection: DetectionResult) -> str: for e in detection.entities: if not e.value: continue - out = out.replace(e.value, f"[MASKED:{e.type.value}]") + out = out.replace(e.value, "[MASKED]") return out diff --git a/masker/policy.py b/masker/policy.py index e26272a9..e708a24e 100644 --- a/masker/policy.py +++ b/masker/policy.py @@ -1,6 +1,6 @@ """Policy engine. CODEX OWNS THIS FILE. -Maps a DetectionResult to a PolicyDecision (route + policy + rationale). +Maps a DetectionResult to a PolicyDecision (route + policy + reasons). Ships a HIPAA-first baseline so the pipeline runs end-to-end. Codex can swap in a richer policy DSL β€” keep the signature stable. @@ -13,6 +13,36 @@ from .contracts import DetectionResult, EntityType, PolicyDecision, PolicyName _HIGH_RISK_LOCAL_ONLY: set[EntityType] = {EntityType.SSN, EntityType.MRN} +_MASKED_SEND_TYPES: set[EntityType] = { + EntityType.EMAIL, + EntityType.PHONE, + EntityType.NAME, + EntityType.ADDRESS, + EntityType.DOB, + EntityType.INSURANCE_ID, +} + + +def _normalize_policy_name(policy_name: str) -> PolicyName: + if policy_name == "hipaa_logging": + return "hipaa_logging_strict" + if policy_name == "hipaa_clinical": + return "hipaa_clinical_context" + return policy_name # type: ignore[return-value] + + +def _decision( + *, + route: str, + policy: PolicyName, + reasons: list[str], +) -> PolicyDecision: + return PolicyDecision( + route=route, # type: ignore[arg-type] + policy=policy, + reasons=reasons, + rationale=", ".join(reasons) if reasons else "no_sensitive_content_detected", + ) def decide( @@ -27,47 +57,64 @@ def decide( - masked-send: forward to LLM with sensitive spans replaced - safe-to-send: forward verbatim (no PHI/PII detected) """ + policy_name = _normalize_policy_name(policy_name) types = {e.type for e in detection.entities} + sensitive_types = {etype for etype in types if etype != EntityType.HEALTH_CONTEXT} + reasons: list[str] = [] - if policy_name == "hipaa_logging": - if detection.has_sensitive: - return PolicyDecision( + if detection.health_context: + reasons.append("health_context_detected") + if sensitive_types: + reasons.append("contains_identifier") + if types & _HIGH_RISK_LOCAL_ONLY: + reasons.append("high_risk_identifier") + if types & {EntityType.INSURANCE_ID, EntityType.DOB, EntityType.ADDRESS}: + reasons.append("patient_record_linkable") + + if policy_name == "hipaa_logging_strict": + if sensitive_types or detection.health_context: + return _decision( route="masked-send", policy=policy_name, - rationale="Strict logging policy: any sensitive data must be masked before traversal.", + reasons=reasons or ["strict_logging_redaction"], ) - if policy_name == "hipaa_clinical": + if policy_name == "hipaa_clinical_context": if types & _HIGH_RISK_LOCAL_ONLY: - return PolicyDecision( + return _decision( route="local-only", policy=policy_name, - rationale="Direct identifiers (SSN/MRN) must stay on-device under clinical policy.", + reasons=reasons, ) - if EntityType.HEALTH_CONTEXT in types and detection.entities: - return PolicyDecision( + if detection.health_context and sensitive_types: + return _decision( + route="local-only", + policy=policy_name, + reasons=reasons + ["clinical_context_requires_local_review"], + ) + if detection.health_context: + return _decision( route="masked-send", policy=policy_name, - rationale="Clinical context with identifiers β†’ mask identifiers, keep medical context.", + reasons=reasons or ["clinical_context_detected"], ) if types & _HIGH_RISK_LOCAL_ONLY: - return PolicyDecision( + return _decision( route="local-only", policy=policy_name, - rationale=f"High-risk identifiers detected: {sorted(t.value for t in types & _HIGH_RISK_LOCAL_ONLY)}", + reasons=reasons, ) - if detection.has_sensitive: - sensitive = sorted({e.type.value for e in detection.entities if e.type != EntityType.HEALTH_CONTEXT}) - return PolicyDecision( + if sensitive_types & _MASKED_SEND_TYPES: + return _decision( route="masked-send", policy=policy_name, - rationale=f"Sensitive entities present: {sensitive}", + reasons=reasons, ) - return PolicyDecision( + return _decision( route="safe-to-send", policy=policy_name, - rationale="No sensitive entities detected.", + reasons=["no_sensitive_content_detected"], ) diff --git a/masker/privacy.py b/masker/privacy.py new file mode 100644 index 00000000..754005ad --- /dev/null +++ b/masker/privacy.py @@ -0,0 +1,76 @@ +"""Single-entry privacy pipeline for transcript text. + +Codex owns this helper so integration layers can call one function and receive: + detection result + policy decision + masked transcript + timing metadata +""" + +from __future__ import annotations + +import time +from dataclasses import dataclass + +from . import detection as _detection +from . import masking as _masking +from . import policy as _policy +from .contracts import DetectionResult, MaskedText, PolicyDecision, PolicyName + + +@dataclass(frozen=True) +class PrivacyTimings: + detection_ms: float + policy_ms: float + masking_ms: float + + def to_dict(self) -> dict[str, float]: + return { + "detection_ms": self.detection_ms, + "policy_ms": self.policy_ms, + "masking_ms": self.masking_ms, + "total_ms": self.detection_ms + self.policy_ms + self.masking_ms, + } + + +@dataclass(frozen=True) +class PrivacyPipelineResult: + detection: DetectionResult + policy: PolicyDecision + masked: MaskedText + timings: PrivacyTimings + + def to_dict(self) -> dict[str, object]: + return { + "detection": self.detection.to_dict(), + "policy": self.policy.to_dict(), + "masked": self.masked.to_dict(), + "timings": self.timings.to_dict(), + } + + +def analyze_transcript( + text: str, + *, + policy_name: PolicyName = "hipaa_base", + mask_mode: _masking.MaskMode = "placeholder", +) -> PrivacyPipelineResult: + detection_started = time.perf_counter() + detection = _detection.detect(text) + detection_ms = (time.perf_counter() - detection_started) * 1000.0 + + policy_started = time.perf_counter() + decision = _policy.decide(detection, policy_name=policy_name) + policy_ms = (time.perf_counter() - policy_started) * 1000.0 + + masking_started = time.perf_counter() + masked = _masking.mask(text, detection, mode=mask_mode) + masking_ms = (time.perf_counter() - masking_started) * 1000.0 + + return PrivacyPipelineResult( + detection=detection, + policy=decision, + masked=masked, + timings=PrivacyTimings( + detection_ms=detection_ms, + policy_ms=policy_ms, + masking_ms=masking_ms, + ), + ) diff --git a/tests/test_integration.py b/tests/test_integration.py index 1cb06cd5..97cd3eab 100644 --- a/tests/test_integration.py +++ b/tests/test_integration.py @@ -8,6 +8,7 @@ import unittest from masker import ( + analyze_transcript, StubBackend, Tracer, VoiceLoop, @@ -32,6 +33,7 @@ def test_safe_query_has_no_entities(self): det = detect("What's the weather tomorrow?") self.assertEqual(det.risk_level, "none") self.assertEqual(det.entities, []) + self.assertFalse(det.health_context) def test_email_and_phone_are_detected(self): det = detect("Email me at jane@example.com or 415-555-0123.") @@ -39,6 +41,13 @@ def test_email_and_phone_are_detected(self): self.assertIn("email", types) self.assertIn("phone", types) + def test_healthcare_context_sets_flag_and_identifier(self): + det = detect("My doctor said I have chest pain and my insurance ID is BCBS-778812.") + self.assertTrue(det.health_context) + types = {e.type.value for e in det.entities} + self.assertIn("health_context", types) + self.assertIn("insurance_id", types) + class PolicyTests(unittest.TestCase): def test_safe_query_is_safe_to_send(self): @@ -53,6 +62,12 @@ def test_email_is_masked_send(self): det = detect("Ping priya@redwood.com.") self.assertEqual(decide(det).route, "masked-send") + def test_healthcare_identifier_is_local_only_for_clinical_context(self): + det = detect("My doctor said I have chest pain and my insurance ID is BCBS-887421.") + decision = decide(det, policy_name="hipaa_clinical_context") + self.assertEqual(decision.route, "local-only") + self.assertIn("clinical_context_requires_local_review", decision.reasons) + class MaskingTests(unittest.TestCase): def test_mask_replaces_spans_with_placeholders(self): @@ -60,7 +75,9 @@ def test_mask_replaces_spans_with_placeholders(self): det = detect(text) m = mask(text, det) self.assertNotIn("jane@example.com", m.text) - self.assertIn("[MASKED:email]", m.text) + self.assertIn("[MASKED]", m.text) + self.assertEqual(m.token_map, {}) + self.assertEqual(m.replacements[0]["type"], "email") def test_scrub_output_re_masks_leaked_values(self): text = "Call 415-555-0123." @@ -68,6 +85,7 @@ def test_scrub_output_re_masks_leaked_values(self): leaked = "Sure, calling 415-555-0123 now." scrubbed = scrub_output(leaked, det) self.assertNotIn("415-555-0123", scrubbed) + self.assertIn("[MASKED]", scrubbed) class PublicApiTests(unittest.TestCase): @@ -76,11 +94,23 @@ def test_filter_input_returns_safe_text_and_metadata(self): self.assertNotIn("123-45-6789", safe) self.assertEqual(meta["route"], "local-only") self.assertEqual(meta["risk_level"], "high") + self.assertIn("high_risk_identifier", meta["reasons"]) + self.assertIn("timings", meta) def test_filter_output_scrubs_leaked_email(self): out = filter_output("Reach me at jane@example.com") self.assertNotIn("jane@example.com", out) + def test_analyze_transcript_returns_detection_decision_masked_and_timings(self): + result = analyze_transcript( + "My doctor said I have chest pain and my insurance ID is BCBS-887421.", + policy_name="hipaa_clinical_context", + ) + self.assertEqual(result.policy.route, "local-only") + self.assertTrue(result.detection.health_context) + self.assertIn("[MASKED]", result.masked.text) + self.assertGreaterEqual(result.timings.to_dict()["total_ms"], 0.0) + class CactusOutputParserTests(unittest.TestCase): """The cactus chat binary mixes banner, prompt echo, reply, and metrics From c5b984c87062265f6af1cab8a394ce19cae7e2d1 Mon Sep 17 00:00:00 2001 From: Navendra Jha Date: Sat, 18 Apr 2026 14:55:45 -0700 Subject: [PATCH 07/15] Move privacy core to Rust --- docs/wiki/CODEX_HANDOFF.md | 8 - masker/README.md | 12 +- masker/__init__.py | 19 +- masker/contracts.py | 25 +- masker/demo.py | 7 +- masker/detection.py | 155 +--- masker/example_privacy.py | 31 - masker/masking.py | 30 +- masker/policy.py | 85 +-- masker/privacy.py | 76 -- rust/Cargo.lock | 7 + rust/Cargo.toml | 3 + rust/HANDOFF.md | 8 + rust/README.md | 18 + rust/masker-core/Cargo.toml | 12 + rust/masker-core/src/lib.rs | 686 ++++++++++++++++++ rust/masker-core/src/main.rs | 7 + rust/target/.rustc_info.json | 1 + 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...c.2g135pe2yq6iqp4jy2hkb6i09.0rxdzkp.rcgu.o | Bin 0 -> 13136 bytes ...c.31gw1zn1zpkvrcrzjiyrh5uaf.0okqrv0.rcgu.o | Bin 0 -> 2968 bytes ...c.31gw1zn1zpkvrcrzjiyrh5uaf.0rxdzkp.rcgu.o | Bin 0 -> 2968 bytes ...c.33atjug5r4mdslmv4d4ng6ls7.0okqrv0.rcgu.o | Bin 0 -> 15712 bytes ...c.33atjug5r4mdslmv4d4ng6ls7.0rxdzkp.rcgu.o | Bin 0 -> 15712 bytes ...c.39zhsqew2d3tw5l0hiy3rz9zj.0okqrv0.rcgu.o | Bin 0 -> 13664 bytes ...c.39zhsqew2d3tw5l0hiy3rz9zj.0rxdzkp.rcgu.o | Bin 0 -> 13664 bytes ...c.3utdenqkpne2l7ew99ucwahxc.0okqrv0.rcgu.o | Bin 0 -> 6520 bytes ...c.3utdenqkpne2l7ew99ucwahxc.0rxdzkp.rcgu.o | Bin 0 -> 6520 bytes ...c.4lojww3e1yz20cp6env6gwfkv.0okqrv0.rcgu.o | Bin 0 -> 43600 bytes ...c.4lojww3e1yz20cp6env6gwfkv.0rxdzkp.rcgu.o | Bin 0 -> 43600 bytes ...c.4nhbl3ofx52zcvb7ck60ovoo5.0okqrv0.rcgu.o | Bin 0 -> 20176 bytes ...c.4nhbl3ofx52zcvb7ck60ovoo5.0rxdzkp.rcgu.o | Bin 0 -> 20176 bytes ...c.4t2t8gem1kz852294n6049nnc.0okqrv0.rcgu.o | Bin 0 -> 8696 bytes 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| Bin 0 -> 21576 bytes ...c.6wy5zgglhc30n8wnn9v7lzs0r.0okqrv0.rcgu.o | Bin 0 -> 4152 bytes ...c.6wy5zgglhc30n8wnn9v7lzs0r.0rxdzkp.rcgu.o | Bin 0 -> 4152 bytes ...c.70n7ilt31425cck89b310od9z.0okqrv0.rcgu.o | Bin 0 -> 20576 bytes ...c.70n7ilt31425cck89b310od9z.0rxdzkp.rcgu.o | Bin 0 -> 20576 bytes ...c.7dacwyov2878firha4buedc97.0okqrv0.rcgu.o | Bin 0 -> 9968 bytes ...c.7dacwyov2878firha4buedc97.0rxdzkp.rcgu.o | Bin 0 -> 9968 bytes ...c.7kj7qlcn1ehoow5p7yn8np8fv.0okqrv0.rcgu.o | Bin 0 -> 6184 bytes ...c.7kj7qlcn1ehoow5p7yn8np8fv.0rxdzkp.rcgu.o | Bin 0 -> 6184 bytes ...c.7tfc0gs6eqhi77m0p3wq8on6t.0okqrv0.rcgu.o | Bin 0 -> 20688 bytes ...c.7tfc0gs6eqhi77m0p3wq8on6t.0rxdzkp.rcgu.o | Bin 0 -> 20688 bytes ...c.7usxej1uoi80k7531ezfjx3ur.0okqrv0.rcgu.o | Bin 0 -> 3928 bytes ...c.7usxej1uoi80k7531ezfjx3ur.0rxdzkp.rcgu.o | Bin 0 -> 3928 bytes ...c.8r4aukw9rh8zwe8n12d2nkhkk.0okqrv0.rcgu.o | Bin 0 -> 3360 bytes ...c.8r4aukw9rh8zwe8n12d2nkhkk.0rxdzkp.rcgu.o | Bin 0 -> 3360 bytes ...c.8t5gagolmo9e08bv0xpt58uj4.0okqrv0.rcgu.o | Bin 0 -> 11392 bytes ...c.8t5gagolmo9e08bv0xpt58uj4.0rxdzkp.rcgu.o | Bin 0 -> 11392 bytes ...c.91evbxxdawzh4ade9alqygomu.0okqrv0.rcgu.o | Bin 0 -> 85000 bytes ...c.91evbxxdawzh4ade9alqygomu.0rxdzkp.rcgu.o | Bin 0 -> 85000 bytes ...c.9hiugr4m4bjl6edewp4umk4k0.0okqrv0.rcgu.o | Bin 0 -> 29440 bytes ...c.9hiugr4m4bjl6edewp4umk4k0.0rxdzkp.rcgu.o | Bin 0 -> 29440 bytes ...c.a1s6ae80q1rlimuo2p6mfhfhm.0okqrv0.rcgu.o | Bin 0 -> 10216 bytes ...c.a1s6ae80q1rlimuo2p6mfhfhm.0rxdzkp.rcgu.o | Bin 0 -> 10216 bytes ...c.a23u8densbo349wtpe9fzye1r.0okqrv0.rcgu.o | Bin 0 -> 13880 bytes ...c.a23u8densbo349wtpe9fzye1r.0rxdzkp.rcgu.o | Bin 0 -> 13880 bytes ...c.a3aw55n1qyhs417ga5k6m2cyi.0okqrv0.rcgu.o | Bin 0 -> 45176 bytes ...c.a3aw55n1qyhs417ga5k6m2cyi.0rxdzkp.rcgu.o | Bin 0 -> 45176 bytes ...c.abbbol98t9i5hkjl9odnnxxbu.0okqrv0.rcgu.o | Bin 0 -> 3784 bytes ...c.abbbol98t9i5hkjl9odnnxxbu.0rxdzkp.rcgu.o | Bin 0 -> 3784 bytes ...c.b3oeyth4ne52x3taxui32cji7.0okqrv0.rcgu.o | Bin 0 -> 9720 bytes ...c.b3oeyth4ne52x3taxui32cji7.0rxdzkp.rcgu.o | Bin 0 -> 9720 bytes ...c.baeulkc3c3lxfuaiq4g8qdgeu.0okqrv0.rcgu.o | Bin 0 -> 6232 bytes ...c.baeulkc3c3lxfuaiq4g8qdgeu.0rxdzkp.rcgu.o | Bin 0 -> 6232 bytes ...c.bs5ja5hdafjg7pv72aw99uz11.0okqrv0.rcgu.o | Bin 0 -> 54960 bytes ...c.bs5ja5hdafjg7pv72aw99uz11.0rxdzkp.rcgu.o | Bin 0 -> 54960 bytes ...c.btwn8pigfay2jep1jq5d467br.0okqrv0.rcgu.o | Bin 0 -> 4912 bytes ...c.btwn8pigfay2jep1jq5d467br.0rxdzkp.rcgu.o | Bin 0 -> 4912 bytes ...c.bynkp3dbezpotwccceqkdqvya.0okqrv0.rcgu.o | Bin 0 -> 3544 bytes ...c.bynkp3dbezpotwccceqkdqvya.0rxdzkp.rcgu.o | Bin 0 -> 3544 bytes ...c.c634tgt2119krjoe8u054at0u.0okqrv0.rcgu.o | Bin 0 -> 14240 bytes ...c.c634tgt2119krjoe8u054at0u.0rxdzkp.rcgu.o | Bin 0 -> 14240 bytes ...c.cf09rk7ivsznr7sgnta0mszgv.0okqrv0.rcgu.o | Bin 0 -> 5032 bytes ...c.cf09rk7ivsznr7sgnta0mszgv.0rxdzkp.rcgu.o | Bin 0 -> 5032 bytes ...c.czw7iv40eehk5ztmay2bh9asx.0okqrv0.rcgu.o | Bin 0 -> 7800 bytes ...c.czw7iv40eehk5ztmay2bh9asx.0rxdzkp.rcgu.o | Bin 0 -> 7800 bytes .../debug/deps/masker_core-9aeec0d6a2d2a06c.d | 7 + ...c.d13xfmgwz0uedqqi7oucf0f1k.0okqrv0.rcgu.o | Bin 0 -> 129632 bytes ...c.d13xfmgwz0uedqqi7oucf0f1k.0rxdzkp.rcgu.o | Bin 0 -> 129632 bytes ...c.d2d89fmfw7jp3ls0zsa397z2x.0okqrv0.rcgu.o | Bin 0 -> 17800 bytes ...c.d2d89fmfw7jp3ls0zsa397z2x.0rxdzkp.rcgu.o | Bin 0 -> 17800 bytes ...c.d2mfw62jgwe5x627vz4y8szxg.0okqrv0.rcgu.o | Bin 0 -> 5304 bytes ...c.d2mfw62jgwe5x627vz4y8szxg.0rxdzkp.rcgu.o | Bin 0 -> 5304 bytes ...c.deqs8r7gusjlbdcl7ch0lzgun.0okqrv0.rcgu.o | Bin 0 -> 9544 bytes ...c.deqs8r7gusjlbdcl7ch0lzgun.0rxdzkp.rcgu.o | Bin 0 -> 9544 bytes ...c.dfd2h0xc1jkgxixpjzwyz14oy.0okqrv0.rcgu.o | Bin 0 -> 9328 bytes ...c.dfd2h0xc1jkgxixpjzwyz14oy.0rxdzkp.rcgu.o | Bin 0 -> 9328 bytes ...c.dhir8dn5gvohfg2rf6t87oxil.0okqrv0.rcgu.o | Bin 0 -> 3888 bytes ...c.dhir8dn5gvohfg2rf6t87oxil.0rxdzkp.rcgu.o | Bin 0 -> 3888 bytes ...c.diqn6y3fah907x3konxxy4dt6.0okqrv0.rcgu.o | Bin 0 -> 35512 bytes ...c.diqn6y3fah907x3konxxy4dt6.0rxdzkp.rcgu.o | Bin 0 -> 35512 bytes ...c.dmps0qbdyq94jflfk7j4v5inp.0okqrv0.rcgu.o | Bin 0 -> 22312 bytes ...c.dmps0qbdyq94jflfk7j4v5inp.0rxdzkp.rcgu.o | Bin 0 -> 22312 bytes ...c.dnc6rf7iwsf4c5lw44f4wbztb.0okqrv0.rcgu.o | Bin 0 -> 27648 bytes ...c.dnc6rf7iwsf4c5lw44f4wbztb.0rxdzkp.rcgu.o | Bin 0 -> 27648 bytes ...c.dpat50f9t6rmz1v6oicwiefii.0okqrv0.rcgu.o | Bin 0 -> 60064 bytes ...c.dpat50f9t6rmz1v6oicwiefii.0rxdzkp.rcgu.o | Bin 0 -> 60064 bytes ...c.dphw9ggezgilps41fd5he4jzp.0okqrv0.rcgu.o | Bin 0 -> 12520 bytes ...c.dphw9ggezgilps41fd5he4jzp.0rxdzkp.rcgu.o | Bin 0 -> 12520 bytes ...c.dqzp3f2wqm0rzkdhj79ojinfa.0okqrv0.rcgu.o | Bin 0 -> 8664 bytes ...c.dqzp3f2wqm0rzkdhj79ojinfa.0rxdzkp.rcgu.o | Bin 0 -> 8664 bytes ...c.e7p58h4mwk6zlpev1cne2uv8e.0okqrv0.rcgu.o | Bin 0 -> 4816 bytes ...c.e7p58h4mwk6zlpev1cne2uv8e.0rxdzkp.rcgu.o | Bin 0 -> 4816 bytes ...c.e8xfm80ha3iyscmbwh0c7fwk2.0okqrv0.rcgu.o | Bin 0 -> 19984 bytes ...c.e8xfm80ha3iyscmbwh0c7fwk2.0rxdzkp.rcgu.o | Bin 0 -> 19984 bytes ...c.edl48h7bbd4jf5ou7i8cq4vt6.0okqrv0.rcgu.o | Bin 0 -> 11824 bytes ...c.edl48h7bbd4jf5ou7i8cq4vt6.0rxdzkp.rcgu.o | Bin 0 -> 11824 bytes ...c.erneq2n4sgcji5e44oljf47fw.0okqrv0.rcgu.o | Bin 0 -> 2176 bytes ...c.erneq2n4sgcji5e44oljf47fw.0rxdzkp.rcgu.o | Bin 0 -> 2176 bytes ...c.etjrh47u1rkyq0l2muvg0x4qd.0okqrv0.rcgu.o | Bin 0 -> 12712 bytes ...c.etjrh47u1rkyq0l2muvg0x4qd.0rxdzkp.rcgu.o | Bin 0 -> 12712 bytes ...c.f1lhmzczemhvuh6m1yjizc926.0okqrv0.rcgu.o | Bin 0 -> 3632 bytes ...c.f1lhmzczemhvuh6m1yjizc926.0rxdzkp.rcgu.o | Bin 0 -> 3632 bytes ...c.f3tskrcqs7e73xcna603byhle.0okqrv0.rcgu.o | Bin 0 -> 89888 bytes ...c.f3tskrcqs7e73xcna603byhle.0rxdzkp.rcgu.o | Bin 0 -> 89888 bytes .../debug/deps/masker_core-cae15e04638aa19f | Bin 0 -> 1237824 bytes ...f.04pz3byi2eznkwq961tedik9g.0aipb53.rcgu.o | Bin 0 -> 7224 bytes ...f.04pz3byi2eznkwq961tedik9g.1vo882k.rcgu.o | Bin 0 -> 7224 bytes ...f.04tqx757ckpxxv3lcvu28f9d8.0aipb53.rcgu.o | Bin 0 -> 89800 bytes ...f.04tqx757ckpxxv3lcvu28f9d8.1vo882k.rcgu.o | Bin 0 -> 89800 bytes ...f.07ztfwo378kqmahm5h8qfo2et.0aipb53.rcgu.o | Bin 0 -> 20688 bytes ...f.07ztfwo378kqmahm5h8qfo2et.1vo882k.rcgu.o | Bin 0 -> 20688 bytes ...f.0d25zlij0b1xw0qh52swmj9e6.0aipb53.rcgu.o | Bin 0 -> 9032 bytes ...f.0d25zlij0b1xw0qh52swmj9e6.1vo882k.rcgu.o | Bin 0 -> 9032 bytes ...f.0efwi92ibspn7pxdgpf7hbzkm.0aipb53.rcgu.o | Bin 0 -> 20176 bytes ...f.0efwi92ibspn7pxdgpf7hbzkm.1vo882k.rcgu.o | Bin 0 -> 20176 bytes ...f.0lgb16kfktup2dhg8z5u45u9m.0aipb53.rcgu.o | Bin 0 -> 3632 bytes ...f.0lgb16kfktup2dhg8z5u45u9m.1vo882k.rcgu.o | Bin 0 -> 3632 bytes ...f.0lw5rg1dfgnd1m11sw49hfpxo.0aipb53.rcgu.o | Bin 0 -> 17784 bytes ...f.0lw5rg1dfgnd1m11sw49hfpxo.1vo882k.rcgu.o | Bin 0 -> 17784 bytes ...f.0rs63oszkyf83edj91q5a3m9h.0aipb53.rcgu.o | Bin 0 -> 8624 bytes ...f.0rs63oszkyf83edj91q5a3m9h.1vo882k.rcgu.o | Bin 0 -> 8624 bytes ...f.1sfy13e8horfrfeu762gnmbws.0aipb53.rcgu.o | Bin 0 -> 4088 bytes ...f.1sfy13e8horfrfeu762gnmbws.1vo882k.rcgu.o | Bin 0 -> 4088 bytes ...f.1urb11e02lw1dijm2ba2y6v6h.0aipb53.rcgu.o | Bin 0 -> 56024 bytes ...f.1urb11e02lw1dijm2ba2y6v6h.1vo882k.rcgu.o | Bin 0 -> 56024 bytes ...f.1vlsf04ffvyxwb4hirugcgciy.0aipb53.rcgu.o | Bin 0 -> 9328 bytes ...f.1vlsf04ffvyxwb4hirugcgciy.1vo882k.rcgu.o | Bin 0 -> 9328 bytes ...f.2bys5clop5mglsv6031a5t6is.0aipb53.rcgu.o | Bin 0 -> 3544 bytes ...f.2bys5clop5mglsv6031a5t6is.1vo882k.rcgu.o | Bin 0 -> 3544 bytes ...f.2oz4jabjpllfpgbei4i4ic1pe.0aipb53.rcgu.o | Bin 0 -> 4152 bytes ...f.2oz4jabjpllfpgbei4i4ic1pe.1vo882k.rcgu.o | Bin 0 -> 4152 bytes ...f.2vbep9nw8rooywdkmmrghu4ba.0aipb53.rcgu.o | Bin 0 -> 11392 bytes ...f.2vbep9nw8rooywdkmmrghu4ba.1vo882k.rcgu.o | Bin 0 -> 11392 bytes ...f.2w6kug4800v0hqkev040ouvtg.0aipb53.rcgu.o | Bin 0 -> 18600 bytes ...f.2w6kug4800v0hqkev040ouvtg.1vo882k.rcgu.o | Bin 0 -> 18600 bytes ...f.3ra0mjam4br8gx0g0qp2w3hc0.0aipb53.rcgu.o | Bin 0 -> 30344 bytes ...f.3ra0mjam4br8gx0g0qp2w3hc0.1vo882k.rcgu.o | Bin 0 -> 30344 bytes ...f.3s78g0bwvofjxxgaiqv4vmxxd.0aipb53.rcgu.o | Bin 0 -> 9688 bytes ...f.3s78g0bwvofjxxgaiqv4vmxxd.1vo882k.rcgu.o | Bin 0 -> 9688 bytes ...f.3t2849wryfv3z9k9s8hjo131n.0aipb53.rcgu.o | Bin 0 -> 85000 bytes ...f.3t2849wryfv3z9k9s8hjo131n.1vo882k.rcgu.o | Bin 0 -> 85000 bytes ...f.3tsul4joseacundm6nezndxv4.0aipb53.rcgu.o | Bin 0 -> 4528 bytes ...f.3tsul4joseacundm6nezndxv4.1vo882k.rcgu.o | Bin 0 -> 4528 bytes ...f.4bqehd1jei1rbft4gvj3fjcl7.0aipb53.rcgu.o | Bin 0 -> 3888 bytes ...f.4bqehd1jei1rbft4gvj3fjcl7.1vo882k.rcgu.o | Bin 0 -> 3888 bytes ...f.4nggvwnhdkcrm4lkgbaptozo5.0aipb53.rcgu.o | Bin 0 -> 18032 bytes ...f.4nggvwnhdkcrm4lkgbaptozo5.1vo882k.rcgu.o | Bin 0 -> 18032 bytes ...f.4qshw15hnfgtyuh7fjh7jwxlv.0aipb53.rcgu.o | Bin 0 -> 5032 bytes ...f.4qshw15hnfgtyuh7fjh7jwxlv.1vo882k.rcgu.o | Bin 0 -> 5032 bytes ...f.52l44g8pviihhlk5589vrskz9.0aipb53.rcgu.o | Bin 0 -> 19632 bytes ...f.52l44g8pviihhlk5589vrskz9.1vo882k.rcgu.o | Bin 0 -> 19632 bytes ...f.56lkoj5mkoi549uevux4alc7y.0aipb53.rcgu.o | Bin 0 -> 3784 bytes ...f.56lkoj5mkoi549uevux4alc7y.1vo882k.rcgu.o | Bin 0 -> 3784 bytes ...f.572rpaiphvdfgzajvzxtefloi.0aipb53.rcgu.o | Bin 0 -> 4016 bytes ...f.572rpaiphvdfgzajvzxtefloi.1vo882k.rcgu.o | Bin 0 -> 4016 bytes ...f.58iattz2x0wdox5wkx0dohhvm.0aipb53.rcgu.o | Bin 0 -> 27992 bytes ...f.58iattz2x0wdox5wkx0dohhvm.1vo882k.rcgu.o | Bin 0 -> 27992 bytes ...f.5fc3navvy5erpd8m80o8ghxs9.0aipb53.rcgu.o | Bin 0 -> 4112 bytes ...f.5fc3navvy5erpd8m80o8ghxs9.1vo882k.rcgu.o | Bin 0 -> 4112 bytes ...f.5n55psgosy46c2r6kyjcbfet2.0aipb53.rcgu.o | Bin 0 -> 4912 bytes ...f.5n55psgosy46c2r6kyjcbfet2.1vo882k.rcgu.o | Bin 0 -> 4912 bytes ...f.5ziay84m5ok7ai12ermotv9o1.0aipb53.rcgu.o | Bin 0 -> 13240 bytes ...f.5ziay84m5ok7ai12ermotv9o1.1vo882k.rcgu.o | Bin 0 -> 13240 bytes ...f.62paqy2neetn6muos3k95lnjw.0aipb53.rcgu.o | Bin 0 -> 14240 bytes ...f.62paqy2neetn6muos3k95lnjw.1vo882k.rcgu.o | Bin 0 -> 14240 bytes ...f.6qy1g9m2o3def49bxwze1ojjy.0aipb53.rcgu.o | Bin 0 -> 42728 bytes ...f.6qy1g9m2o3def49bxwze1ojjy.1vo882k.rcgu.o | Bin 0 -> 42728 bytes ...f.6v56eqztrb6dahxx9u1q3ixrs.0aipb53.rcgu.o | Bin 0 -> 3360 bytes ...f.6v56eqztrb6dahxx9u1q3ixrs.1vo882k.rcgu.o | Bin 0 -> 3360 bytes ...f.7c725apue2c7fw73xdwpeifko.0aipb53.rcgu.o | Bin 0 -> 9400 bytes ...f.7c725apue2c7fw73xdwpeifko.1vo882k.rcgu.o | Bin 0 -> 9400 bytes ...f.7km18quve4kpwzhbfloepvrcx.0aipb53.rcgu.o | Bin 0 -> 8288 bytes ...f.7km18quve4kpwzhbfloepvrcx.1vo882k.rcgu.o | Bin 0 -> 8288 bytes ...f.7sntstjxe8osvudwtpabeqmjo.0aipb53.rcgu.o | Bin 0 -> 24568 bytes ...f.7sntstjxe8osvudwtpabeqmjo.1vo882k.rcgu.o | Bin 0 -> 24568 bytes ...f.7t21dhei1tbmmq7sbtpeubtoo.0aipb53.rcgu.o | Bin 0 -> 9288 bytes ...f.7t21dhei1tbmmq7sbtpeubtoo.1vo882k.rcgu.o | Bin 0 -> 9288 bytes ...f.84fsm85qt1p5dz5gopti9of7o.0aipb53.rcgu.o | Bin 0 -> 10832 bytes ...f.84fsm85qt1p5dz5gopti9of7o.1vo882k.rcgu.o | Bin 0 -> 10832 bytes ...f.867dvp6z5tjy3jss42cbi8c4e.0aipb53.rcgu.o | Bin 0 -> 2176 bytes ...f.867dvp6z5tjy3jss42cbi8c4e.1vo882k.rcgu.o | Bin 0 -> 2176 bytes ...f.86wxlih3lzbzusjju5truritc.0aipb53.rcgu.o | Bin 0 -> 5008 bytes ...f.86wxlih3lzbzusjju5truritc.1vo882k.rcgu.o | Bin 0 -> 5008 bytes ...f.8d6c6s5ghqaonls9290v4drlz.0aipb53.rcgu.o | Bin 0 -> 5752 bytes ...f.8d6c6s5ghqaonls9290v4drlz.1vo882k.rcgu.o | Bin 0 -> 5752 bytes ...f.8j5mlog47jfpq8iccivwpaapz.0aipb53.rcgu.o | Bin 0 -> 7936 bytes ...f.8j5mlog47jfpq8iccivwpaapz.1vo882k.rcgu.o | Bin 0 -> 7936 bytes ...f.8zsyef2nt2kd659e51ca546o7.0aipb53.rcgu.o | Bin 0 -> 32480 bytes ...f.8zsyef2nt2kd659e51ca546o7.1vo882k.rcgu.o | Bin 0 -> 32480 bytes ...f.90s0pbnbp7w9uk1vugz6wfk5g.0aipb53.rcgu.o | Bin 0 -> 17800 bytes ...f.90s0pbnbp7w9uk1vugz6wfk5g.1vo882k.rcgu.o | Bin 0 -> 17800 bytes ...f.9g2nyzoqj5gmqsmst2fc6w73g.0aipb53.rcgu.o | Bin 0 -> 15896 bytes ...f.9g2nyzoqj5gmqsmst2fc6w73g.1vo882k.rcgu.o | Bin 0 -> 15896 bytes ...f.9hgpa75q60kjttuk1ueq9l1vy.0aipb53.rcgu.o | Bin 0 -> 9536 bytes ...f.9hgpa75q60kjttuk1ueq9l1vy.1vo882k.rcgu.o | Bin 0 -> 9536 bytes ...f.9ofxqrwbcb4xnewl37bdlcggl.0aipb53.rcgu.o | Bin 0 -> 3280 bytes ...f.9ofxqrwbcb4xnewl37bdlcggl.1vo882k.rcgu.o | Bin 0 -> 3280 bytes ...f.9ubo3ew5dw3a8vi4drdca3qkd.0aipb53.rcgu.o | Bin 0 -> 15184 bytes ...f.9ubo3ew5dw3a8vi4drdca3qkd.1vo882k.rcgu.o | Bin 0 -> 15184 bytes ...f.9v7mior8obvo7u3bqgbrs1d12.0aipb53.rcgu.o | Bin 0 -> 20576 bytes ...f.9v7mior8obvo7u3bqgbrs1d12.1vo882k.rcgu.o | Bin 0 -> 20576 bytes ...f.9vwf9wdsqqqylptnb0llvs5wt.0aipb53.rcgu.o | Bin 0 -> 9544 bytes ...f.9vwf9wdsqqqylptnb0llvs5wt.1vo882k.rcgu.o | Bin 0 -> 9544 bytes ...f.a515mkur45d82y61dwxkkdd36.0aipb53.rcgu.o | Bin 0 -> 122800 bytes ...f.a515mkur45d82y61dwxkkdd36.1vo882k.rcgu.o | Bin 0 -> 122800 bytes ...f.a7jhuleh9nbh1vmk9a2yowjo4.0aipb53.rcgu.o | Bin 0 -> 21576 bytes ...f.a7jhuleh9nbh1vmk9a2yowjo4.1vo882k.rcgu.o | Bin 0 -> 21576 bytes ...f.ah6oe0h7hp99gl66mr9lw3plq.0aipb53.rcgu.o | Bin 0 -> 13136 bytes ...f.ah6oe0h7hp99gl66mr9lw3plq.1vo882k.rcgu.o | Bin 0 -> 13136 bytes ...f.ayq1ld77s35gros3jo9otp0or.0aipb53.rcgu.o | Bin 0 -> 3704 bytes ...f.ayq1ld77s35gros3jo9otp0or.1vo882k.rcgu.o | Bin 0 -> 3704 bytes ...f.azrimqc82te6a9fpu25qx3acg.0aipb53.rcgu.o | Bin 0 -> 19984 bytes ...f.azrimqc82te6a9fpu25qx3acg.1vo882k.rcgu.o | Bin 0 -> 19984 bytes ...f.bbmjck4mbnwq3hewj6pmc3w3r.0aipb53.rcgu.o | Bin 0 -> 10216 bytes ...f.bbmjck4mbnwq3hewj6pmc3w3r.1vo882k.rcgu.o | Bin 0 -> 10216 bytes ...f.btcc5yr1p3frkd3o8147fs7z5.0aipb53.rcgu.o | Bin 0 -> 12520 bytes ...f.btcc5yr1p3frkd3o8147fs7z5.1vo882k.rcgu.o | Bin 0 -> 12520 bytes ...f.c9rpzcm4t8g5y5gg25xhljeer.0aipb53.rcgu.o | Bin 0 -> 8664 bytes ...f.c9rpzcm4t8g5y5gg25xhljeer.1vo882k.rcgu.o | Bin 0 -> 8664 bytes ...f.cu8y977ojpka4uxhj3t5u1pxg.0aipb53.rcgu.o | Bin 0 -> 2840 bytes ...f.cu8y977ojpka4uxhj3t5u1pxg.1vo882k.rcgu.o | Bin 0 -> 2840 bytes ...f.czq3l6jrptxqsgoau0ts8u4s8.0aipb53.rcgu.o | Bin 0 -> 12512 bytes ...f.czq3l6jrptxqsgoau0ts8u4s8.1vo882k.rcgu.o | Bin 0 -> 12512 bytes .../debug/deps/masker_core-cae15e04638aa19f.d | 5 + ...f.d6fctd43rbeq517g5bmrda8s6.0aipb53.rcgu.o | Bin 0 -> 6184 bytes ...f.d6fctd43rbeq517g5bmrda8s6.1vo882k.rcgu.o | Bin 0 -> 6184 bytes ...f.dafoin3dtv1m64jxpkcpvcoiv.0aipb53.rcgu.o | Bin 0 -> 6232 bytes ...f.dafoin3dtv1m64jxpkcpvcoiv.1vo882k.rcgu.o | Bin 0 -> 6232 bytes ...f.dga80c4zu97smh7xzngacotmq.0aipb53.rcgu.o | Bin 0 -> 54960 bytes ...f.dga80c4zu97smh7xzngacotmq.1vo882k.rcgu.o | Bin 0 -> 54960 bytes ...f.dhcqfarrncc45mi3xaacqmdk0.0aipb53.rcgu.o | Bin 0 -> 10016 bytes ...f.dhcqfarrncc45mi3xaacqmdk0.1vo882k.rcgu.o | Bin 0 -> 10016 bytes ...f.dhukkccem483dbnu6pvdgj1yr.0aipb53.rcgu.o | Bin 0 -> 42736 bytes ...f.dhukkccem483dbnu6pvdgj1yr.1vo882k.rcgu.o | Bin 0 -> 42736 bytes ...f.dt3vdln7c6qwlnn15dsl49jeg.0aipb53.rcgu.o | Bin 0 -> 19200 bytes ...f.dt3vdln7c6qwlnn15dsl49jeg.1vo882k.rcgu.o | Bin 0 -> 19200 bytes ...f.dt5rn1nyby5nnidems2nay6we.0aipb53.rcgu.o | Bin 0 -> 4816 bytes ...f.dt5rn1nyby5nnidems2nay6we.1vo882k.rcgu.o | Bin 0 -> 4816 bytes ...f.dvkfcnj4bdutu4mxpe6rr7h91.0aipb53.rcgu.o | Bin 0 -> 2968 bytes ...f.dvkfcnj4bdutu4mxpe6rr7h91.1vo882k.rcgu.o | Bin 0 -> 2968 bytes ...f.e3r8l7wejb0358wvj7asq2ob4.0aipb53.rcgu.o | Bin 0 -> 27648 bytes ...f.e3r8l7wejb0358wvj7asq2ob4.1vo882k.rcgu.o | Bin 0 -> 27648 bytes ...f.e4bdmrw6tqtl1v31n72zwgksz.0aipb53.rcgu.o | Bin 0 -> 3928 bytes ...f.e4bdmrw6tqtl1v31n72zwgksz.1vo882k.rcgu.o | Bin 0 -> 3928 bytes ...f.ed7r69d417aatjv20ocxw521h.0aipb53.rcgu.o | Bin 0 -> 4224 bytes ...f.ed7r69d417aatjv20ocxw521h.1vo882k.rcgu.o | Bin 0 -> 4224 bytes ...f.ega5xu9ohk5aikbg0o240oref.0aipb53.rcgu.o | Bin 0 -> 60064 bytes ...f.ega5xu9ohk5aikbg0o240oref.1vo882k.rcgu.o | Bin 0 -> 60064 bytes ...f.egzuakqstvzgc9323jsnaxoax.0aipb53.rcgu.o | Bin 0 -> 78984 bytes ...f.egzuakqstvzgc9323jsnaxoax.1vo882k.rcgu.o | Bin 0 -> 79160 bytes ...f.eiz8egwyzzss5k247qucqisob.0aipb53.rcgu.o | Bin 0 -> 29472 bytes ...f.eiz8egwyzzss5k247qucqisob.1vo882k.rcgu.o | Bin 0 -> 29472 bytes .../deps/masker_core_demo-12bd68e17800acb7 | Bin 0 -> 964944 bytes ...7.0an5phkzyznc4wiqppl6tgm21.1gtpyya.rcgu.o | Bin 0 -> 4440 bytes ...7.0an5phkzyznc4wiqppl6tgm21.1h0z756.rcgu.o | Bin 0 -> 4440 bytes ...7.1g8p395ohu6gj9tiyzg98w8pr.1gtpyya.rcgu.o | Bin 0 -> 2840 bytes ...7.1g8p395ohu6gj9tiyzg98w8pr.1h0z756.rcgu.o | Bin 0 -> 2840 bytes ...7.468vez1slvfrgx5myzs8n4dp3.1gtpyya.rcgu.o | Bin 0 -> 2520 bytes ...7.468vez1slvfrgx5myzs8n4dp3.1h0z756.rcgu.o | Bin 0 -> 2520 bytes ...7.6rx2ylvp0e3aukchnnu4ggdpz.1gtpyya.rcgu.o | Bin 0 -> 3288 bytes ...7.6rx2ylvp0e3aukchnnu4ggdpz.1h0z756.rcgu.o | Bin 0 -> 3288 bytes ...7.aubdpxcxruine437s21tv8suj.1gtpyya.rcgu.o | Bin 0 -> 5752 bytes ...7.aubdpxcxruine437s21tv8suj.1h0z756.rcgu.o | Bin 0 -> 5752 bytes .../deps/masker_core_demo-12bd68e17800acb7.d | 5 + .../deps/masker_core_demo-b758cdad76931ebf | Bin 0 -> 776880 bytes ...f.1oh5yetzm95hopjbb1n1o3kwp.10stfwq.rcgu.o | Bin 0 -> 5752 bytes ...f.1oh5yetzm95hopjbb1n1o3kwp.1rg08fw.rcgu.o | Bin 0 -> 5752 bytes ...f.1w6oxaj8okv0f2lowocminmey.10stfwq.rcgu.o | Bin 0 -> 3288 bytes ...f.1w6oxaj8okv0f2lowocminmey.1rg08fw.rcgu.o | Bin 0 -> 3288 bytes ...f.28ehfs1hfidpfsn9b1pnkdw9m.10stfwq.rcgu.o | Bin 0 -> 5176 bytes ...f.28ehfs1hfidpfsn9b1pnkdw9m.1rg08fw.rcgu.o | Bin 0 -> 5176 bytes ...f.2d0rk9ltlcu0ubsca1iqgc2fv.10stfwq.rcgu.o | Bin 0 -> 2840 bytes ...f.2d0rk9ltlcu0ubsca1iqgc2fv.1rg08fw.rcgu.o | Bin 0 -> 2840 bytes ...f.9o12yqwnqas4zslr95udn91rc.10stfwq.rcgu.o | Bin 0 -> 9704 bytes ...f.9o12yqwnqas4zslr95udn91rc.1rg08fw.rcgu.o | Bin 0 -> 9704 bytes ...f.a9n4u6cl3ofhf35dgg0vhh6nd.10stfwq.rcgu.o | Bin 0 -> 10664 bytes ...f.a9n4u6cl3ofhf35dgg0vhh6nd.1rg08fw.rcgu.o | Bin 0 -> 10664 bytes .../deps/masker_core_demo-b758cdad76931ebf.d | 5 + .../034fuax0tqjigrot30b4xnxm7.o | Bin 0 -> 17176 bytes .../047647dsqdojb5ymp97puwvso.o | Bin 0 -> 5008 bytes .../0jpoc0pjh7rvwilp7653jy1iz.o | Bin 0 -> 67456 bytes .../0o0y7k1111td1590valts4p5h.o | Bin 0 -> 42728 bytes .../11n815qgyc88hffx8op0fqki1.o | Bin 0 -> 18600 bytes .../12esm5r58xdvv7z6lnz0y0vm2.o | Bin 0 -> 90008 bytes .../14xpse4bt3p1735k4oi94up95.o | Bin 0 -> 15896 bytes .../1aubo8oulz1hnm6nlxmskh6u9.o | Bin 0 -> 4088 bytes .../1dvvgh53l5yiyl4ygu6409m10.o | Bin 0 -> 86568 bytes .../1ig4fhcgrqw86vck1l3p1pt8b.o | Bin 0 -> 9024 bytes .../1mi6k2xc1yv7f8c5uh976m3xd.o | Bin 0 -> 9856 bytes .../204w3351w9lz0v9aiteah5fwm.o | Bin 0 -> 31192 bytes .../2892qez4fbsdrck4rc23u89bp.o | Bin 0 -> 5112 bytes .../2e8p5o31clirolt1fpf17rej1.o | Bin 0 -> 3704 bytes .../2emrr3u4vhaxm7mracicdedl4.o | Bin 0 -> 15440 bytes .../2g135pe2yq6iqp4jy2hkb6i09.o | Bin 0 -> 13136 bytes .../31gw1zn1zpkvrcrzjiyrh5uaf.o | Bin 0 -> 2968 bytes .../33atjug5r4mdslmv4d4ng6ls7.o | Bin 0 -> 15712 bytes .../39zhsqew2d3tw5l0hiy3rz9zj.o | Bin 0 -> 13664 bytes .../3utdenqkpne2l7ew99ucwahxc.o | Bin 0 -> 6520 bytes .../4lojww3e1yz20cp6env6gwfkv.o | Bin 0 -> 43600 bytes .../4nhbl3ofx52zcvb7ck60ovoo5.o | Bin 0 -> 20176 bytes .../4t2t8gem1kz852294n6049nnc.o | Bin 0 -> 8696 bytes .../4v84qemcuvt31a99af0k0ujwz.o | Bin 0 -> 8624 bytes .../52nmjei4bhia8kcep3byfdd89.o | Bin 0 -> 18032 bytes .../567cjkbomdthu8dln57cr8w1o.o | Bin 0 -> 4224 bytes .../5qtxo2cqx423hnix0ealzus0x.o | Bin 0 -> 4528 bytes .../657jalmlx2cxng1gq6mdpi5om.o | Bin 0 -> 4016 bytes .../6cl8x1kuw98406xdhnny7on8a.o | Bin 0 -> 8608 bytes .../6wgrmcctegqkst5oeqtkp2ouf.o | Bin 0 -> 21576 bytes .../6wy5zgglhc30n8wnn9v7lzs0r.o | Bin 0 -> 4152 bytes .../70n7ilt31425cck89b310od9z.o | Bin 0 -> 20576 bytes .../7dacwyov2878firha4buedc97.o | Bin 0 -> 9968 bytes .../7kj7qlcn1ehoow5p7yn8np8fv.o | Bin 0 -> 6184 bytes .../7tfc0gs6eqhi77m0p3wq8on6t.o | Bin 0 -> 20688 bytes .../7usxej1uoi80k7531ezfjx3ur.o | Bin 0 -> 3928 bytes .../8r4aukw9rh8zwe8n12d2nkhkk.o | Bin 0 -> 3360 bytes .../8t5gagolmo9e08bv0xpt58uj4.o | Bin 0 -> 11392 bytes .../91evbxxdawzh4ade9alqygomu.o | Bin 0 -> 85000 bytes .../9hiugr4m4bjl6edewp4umk4k0.o | Bin 0 -> 29440 bytes .../a1s6ae80q1rlimuo2p6mfhfhm.o | Bin 0 -> 10216 bytes .../a23u8densbo349wtpe9fzye1r.o | Bin 0 -> 13880 bytes .../a3aw55n1qyhs417ga5k6m2cyi.o | Bin 0 -> 45176 bytes .../abbbol98t9i5hkjl9odnnxxbu.o | Bin 0 -> 3784 bytes .../b3oeyth4ne52x3taxui32cji7.o | Bin 0 -> 9720 bytes .../baeulkc3c3lxfuaiq4g8qdgeu.o | Bin 0 -> 6232 bytes .../bs5ja5hdafjg7pv72aw99uz11.o | Bin 0 -> 54960 bytes .../btwn8pigfay2jep1jq5d467br.o | Bin 0 -> 4912 bytes .../bynkp3dbezpotwccceqkdqvya.o | Bin 0 -> 3544 bytes .../c634tgt2119krjoe8u054at0u.o | Bin 0 -> 14240 bytes .../cf09rk7ivsznr7sgnta0mszgv.o | Bin 0 -> 5032 bytes .../czw7iv40eehk5ztmay2bh9asx.o | Bin 0 -> 7800 bytes .../d13xfmgwz0uedqqi7oucf0f1k.o | Bin 0 -> 129632 bytes .../d2d89fmfw7jp3ls0zsa397z2x.o | Bin 0 -> 17800 bytes .../d2mfw62jgwe5x627vz4y8szxg.o | Bin 0 -> 5304 bytes .../dep-graph.bin | Bin 0 -> 2414985 bytes .../deqs8r7gusjlbdcl7ch0lzgun.o | Bin 0 -> 9544 bytes .../dfd2h0xc1jkgxixpjzwyz14oy.o | Bin 0 -> 9328 bytes .../dhir8dn5gvohfg2rf6t87oxil.o | Bin 0 -> 3888 bytes .../diqn6y3fah907x3konxxy4dt6.o | Bin 0 -> 35512 bytes .../dmps0qbdyq94jflfk7j4v5inp.o | Bin 0 -> 22312 bytes .../dnc6rf7iwsf4c5lw44f4wbztb.o | Bin 0 -> 27648 bytes .../dpat50f9t6rmz1v6oicwiefii.o | Bin 0 -> 60064 bytes .../dphw9ggezgilps41fd5he4jzp.o | Bin 0 -> 12520 bytes .../dqzp3f2wqm0rzkdhj79ojinfa.o | Bin 0 -> 8664 bytes .../e7p58h4mwk6zlpev1cne2uv8e.o | Bin 0 -> 4816 bytes .../e8xfm80ha3iyscmbwh0c7fwk2.o | Bin 0 -> 19984 bytes .../edl48h7bbd4jf5ou7i8cq4vt6.o | Bin 0 -> 11824 bytes .../erneq2n4sgcji5e44oljf47fw.o | Bin 0 -> 2176 bytes .../etjrh47u1rkyq0l2muvg0x4qd.o | Bin 0 -> 12712 bytes .../f1lhmzczemhvuh6m1yjizc926.o | Bin 0 -> 3632 bytes .../f3tskrcqs7e73xcna603byhle.o | Bin 0 -> 89888 bytes .../metadata.rmeta | Bin 0 -> 65851 bytes .../query-cache.bin | Bin 0 -> 949053 bytes .../work-products.bin | Bin 0 -> 5496 bytes .../s-hhqfcingjj-04b7okw.lock | 0 .../034fuax0tqjigrot30b4xnxm7.o | Bin 0 -> 17176 bytes .../047647dsqdojb5ymp97puwvso.o | Bin 0 -> 5008 bytes .../0jpoc0pjh7rvwilp7653jy1iz.o | Bin 0 -> 67456 bytes .../0o0y7k1111td1590valts4p5h.o | Bin 0 -> 42728 bytes .../11n815qgyc88hffx8op0fqki1.o | Bin 0 -> 18600 bytes .../12esm5r58xdvv7z6lnz0y0vm2.o | Bin 0 -> 90008 bytes .../14xpse4bt3p1735k4oi94up95.o | Bin 0 -> 15896 bytes .../1aubo8oulz1hnm6nlxmskh6u9.o | Bin 0 -> 4088 bytes .../1dvvgh53l5yiyl4ygu6409m10.o | Bin 0 -> 86736 bytes .../1ig4fhcgrqw86vck1l3p1pt8b.o | Bin 0 -> 9024 bytes .../1mi6k2xc1yv7f8c5uh976m3xd.o | Bin 0 -> 9856 bytes .../204w3351w9lz0v9aiteah5fwm.o | Bin 0 -> 31192 bytes .../2892qez4fbsdrck4rc23u89bp.o | Bin 0 -> 5112 bytes .../2e8p5o31clirolt1fpf17rej1.o | Bin 0 -> 3704 bytes .../2emrr3u4vhaxm7mracicdedl4.o | Bin 0 -> 15440 bytes .../2g135pe2yq6iqp4jy2hkb6i09.o | Bin 0 -> 13136 bytes .../31gw1zn1zpkvrcrzjiyrh5uaf.o | Bin 0 -> 2968 bytes .../33atjug5r4mdslmv4d4ng6ls7.o | Bin 0 -> 15712 bytes .../39zhsqew2d3tw5l0hiy3rz9zj.o | Bin 0 -> 13664 bytes .../3utdenqkpne2l7ew99ucwahxc.o | Bin 0 -> 6520 bytes .../4lojww3e1yz20cp6env6gwfkv.o | Bin 0 -> 43600 bytes .../4nhbl3ofx52zcvb7ck60ovoo5.o | Bin 0 -> 20176 bytes .../4t2t8gem1kz852294n6049nnc.o | Bin 0 -> 8696 bytes .../4v84qemcuvt31a99af0k0ujwz.o | Bin 0 -> 8624 bytes .../52nmjei4bhia8kcep3byfdd89.o | Bin 0 -> 18032 bytes .../567cjkbomdthu8dln57cr8w1o.o | Bin 0 -> 4224 bytes .../5qtxo2cqx423hnix0ealzus0x.o | Bin 0 -> 4528 bytes .../657jalmlx2cxng1gq6mdpi5om.o | Bin 0 -> 4016 bytes .../6cl8x1kuw98406xdhnny7on8a.o | Bin 0 -> 8608 bytes .../6wgrmcctegqkst5oeqtkp2ouf.o | Bin 0 -> 21576 bytes .../6wy5zgglhc30n8wnn9v7lzs0r.o | Bin 0 -> 4152 bytes 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create mode 100644 rust/target/debug/deps/masker_core-9aeec0d6a2d2a06c.dqzp3f2wqm0rzkdhj79ojinfa.0okqrv0.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-9aeec0d6a2d2a06c.dqzp3f2wqm0rzkdhj79ojinfa.0rxdzkp.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-9aeec0d6a2d2a06c.e7p58h4mwk6zlpev1cne2uv8e.0okqrv0.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-9aeec0d6a2d2a06c.e7p58h4mwk6zlpev1cne2uv8e.0rxdzkp.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-9aeec0d6a2d2a06c.e8xfm80ha3iyscmbwh0c7fwk2.0okqrv0.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-9aeec0d6a2d2a06c.e8xfm80ha3iyscmbwh0c7fwk2.0rxdzkp.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-9aeec0d6a2d2a06c.edl48h7bbd4jf5ou7i8cq4vt6.0okqrv0.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-9aeec0d6a2d2a06c.edl48h7bbd4jf5ou7i8cq4vt6.0rxdzkp.rcgu.o create mode 100644 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create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.1urb11e02lw1dijm2ba2y6v6h.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.1urb11e02lw1dijm2ba2y6v6h.1vo882k.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.1vlsf04ffvyxwb4hirugcgciy.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.1vlsf04ffvyxwb4hirugcgciy.1vo882k.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.2bys5clop5mglsv6031a5t6is.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.2bys5clop5mglsv6031a5t6is.1vo882k.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.2oz4jabjpllfpgbei4i4ic1pe.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.2oz4jabjpllfpgbei4i4ic1pe.1vo882k.rcgu.o create mode 100644 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create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.52l44g8pviihhlk5589vrskz9.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.52l44g8pviihhlk5589vrskz9.1vo882k.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.56lkoj5mkoi549uevux4alc7y.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.56lkoj5mkoi549uevux4alc7y.1vo882k.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.572rpaiphvdfgzajvzxtefloi.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.572rpaiphvdfgzajvzxtefloi.1vo882k.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.58iattz2x0wdox5wkx0dohhvm.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.58iattz2x0wdox5wkx0dohhvm.1vo882k.rcgu.o create mode 100644 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create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.7t21dhei1tbmmq7sbtpeubtoo.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.7t21dhei1tbmmq7sbtpeubtoo.1vo882k.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.84fsm85qt1p5dz5gopti9of7o.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.84fsm85qt1p5dz5gopti9of7o.1vo882k.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.867dvp6z5tjy3jss42cbi8c4e.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.867dvp6z5tjy3jss42cbi8c4e.1vo882k.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.86wxlih3lzbzusjju5truritc.0aipb53.rcgu.o create mode 100644 rust/target/debug/deps/masker_core-cae15e04638aa19f.86wxlih3lzbzusjju5truritc.1vo882k.rcgu.o create mode 100644 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create mode 100644 rust/target/debug/incremental/masker_core_demo-2hy3euelf5m0h/s-hhqfcqec3j-0ps4f3z-ey8xwy19n3y4ho6juum4pp0pt/9o12yqwnqas4zslr95udn91rc.o create mode 100644 rust/target/debug/incremental/masker_core_demo-2hy3euelf5m0h/s-hhqfcqec3j-0ps4f3z-ey8xwy19n3y4ho6juum4pp0pt/a9n4u6cl3ofhf35dgg0vhh6nd.o create mode 100644 rust/target/debug/incremental/masker_core_demo-2hy3euelf5m0h/s-hhqfcqec3j-0ps4f3z-ey8xwy19n3y4ho6juum4pp0pt/dep-graph.bin create mode 100644 rust/target/debug/incremental/masker_core_demo-2hy3euelf5m0h/s-hhqfcqec3j-0ps4f3z-ey8xwy19n3y4ho6juum4pp0pt/query-cache.bin create mode 100644 rust/target/debug/incremental/masker_core_demo-2hy3euelf5m0h/s-hhqfcqec3j-0ps4f3z-ey8xwy19n3y4ho6juum4pp0pt/work-products.bin create mode 100755 rust/target/debug/incremental/masker_core_demo-2hy3euelf5m0h/s-hhqfcqec3j-0ps4f3z.lock create mode 100644 rust/target/debug/libmasker_core.d create mode 100644 rust/target/debug/libmasker_core.rlib create mode 100755 rust/target/debug/masker-core-demo create mode 100644 rust/target/debug/masker-core-demo.d diff --git a/docs/wiki/CODEX_HANDOFF.md b/docs/wiki/CODEX_HANDOFF.md deleted file mode 100644 index 212157f3..00000000 --- a/docs/wiki/CODEX_HANDOFF.md +++ /dev/null @@ -1,8 +0,0 @@ -### Status -- What works: `masker.analyze_transcript()` now returns detection result, policy decision, masked transcript, and per-stage timings in one call. -- What works: deterministic detection covers SSN, phone, email, MRN, DOB, address, insurance ID, simple name hooks, patient identifier hooks, and healthcare-context keywords. -- What works: HIPAA-first presets are wired as `hipaa_base`, `hipaa_logging_strict`, and `hipaa_clinical_context`, with explicit decision reasons for UI/explanations. -- What is blocked: detection is intentionally regex-and-keyword based for the hackathon MVP, so recall and precision are limited outside the seeded demo scenarios. -- What changed: shared contracts gained `health_context`, `reasons`, replacement metadata, and timing output; masking now preserves clinical context while redacting only sensitive spans. -- What next agent needs: Cursor can call `analyze_transcript()` or keep using `filter_input()` and forward `meta["reasons"]` plus `meta["timings"]` into routing/logging. -- What next agent needs: Ona can render `DetectionResult.health_context`, `PolicyDecision.reasons`, and masking replacements as the explanation trace for the demo. diff --git a/masker/README.md b/masker/README.md index 6b72e86c..84a33e3f 100644 --- a/masker/README.md +++ b/masker/README.md @@ -22,20 +22,12 @@ today; Codex replaces those bodies without touching this package's surface. ## Public API (3 calls + a class) ```python -from masker import analyze_transcript, filter_input, filter_output, auto_attach, default_loop +from masker import filter_input, filter_output, auto_attach, default_loop # 1. Drop-in helpers β€” what other hackathon teams will call: safe_prompt, meta = filter_input("My SSN is 123-45-6789.") safe_response = filter_output(model_reply) -# 1b. Single-call privacy pipeline for integrations and the trace UI: -privacy = analyze_transcript( - "My doctor said I have chest pain and my insurance ID is BCBS-887421.", - policy_name="hipaa_clinical_context", -) -print(privacy.policy.route) # 'local-only' -print(privacy.masked.text) # '... insurance ID is [MASKED].' - # 2. Auto-attach to google-genai so existing Gemini code is masked transparently: auto_attach() # then the team's existing client.models.generate_content(...) is filtered @@ -86,7 +78,7 @@ shapes in `AGENTS.md`: ```python DetectionResult(entities=[...], risk_level="high") -PolicyDecision(route="masked-send", policy="hipaa_base", reasons=["contains_identifier"], rationale="...") +PolicyDecision(route="masked-send", policy="hipaa_base", rationale="...") TraceEvent(stage="masking", message="Masked SSN", elapsed_ms=1.2, payload={...}) TurnResult(...) # the full per-turn artifact returned by VoiceLoop ``` diff --git a/masker/__init__.py b/masker/__init__.py index 2f8811f8..0c090bb9 100644 --- a/masker/__init__.py +++ b/masker/__init__.py @@ -33,7 +33,6 @@ auto_attach, default_backend, ) -from .privacy import PrivacyPipelineResult, PrivacyTimings, analyze_transcript from .router import Router, default_router from .trace import Tracer from .voice_loop import VoiceLoop, default_loop @@ -44,21 +43,20 @@ def filter_input(text: str, *, policy_name: PolicyName = "hipaa_base") -> tuple[ version plus a metadata dict (route, entities, token_map). The most common integration point for other teams. """ - result = analyze_transcript(text, policy_name=policy_name) - det = result.detection - decision = result.policy - masked = result.masked + from . import detection as _detection + from . import masking as _masking + from . import policy as _policy + + det = _detection.detect(text) + decision = _policy.decide(det, policy_name=policy_name) + masked = _masking.mask(text, det) return masked.text, { "route": decision.route, "policy": decision.policy, - "reasons": list(decision.reasons), "rationale": decision.rationale, "entities": [e.to_dict() for e in det.entities], "risk_level": det.risk_level, - "health_context": det.health_context, "token_map": masked.token_map, - "replacements": masked.replacements, - "timings": result.timings.to_dict(), } @@ -84,8 +82,6 @@ def filter_output(text: str) -> str: "MaskedText", "PolicyDecision", "PolicyName", - "PrivacyPipelineResult", - "PrivacyTimings", "Route", "Router", "StubBackend", @@ -94,7 +90,6 @@ def filter_output(text: str) -> str: "TurnResult", "VoiceLoop", "auto_attach", - "analyze_transcript", "default_backend", "default_loop", "default_router", diff --git a/masker/contracts.py b/masker/contracts.py index 5ae85bd9..d9f31554 100644 --- a/masker/contracts.py +++ b/masker/contracts.py @@ -25,11 +25,7 @@ class EntityType(str, Enum): RiskLevel = Literal["none", "low", "medium", "high"] Route = Literal["local-only", "masked-send", "safe-to-send"] -PolicyName = Literal[ - "hipaa_base", - "hipaa_logging_strict", - "hipaa_clinical_context", -] +PolicyName = Literal["hipaa_base", "hipaa_logging", "hipaa_clinical"] @dataclass(frozen=True) @@ -41,7 +37,6 @@ class Entity: start: int = -1 end: int = -1 confidence: float = 1.0 - health_context: bool = False def to_dict(self) -> dict[str, Any]: return { @@ -50,7 +45,6 @@ def to_dict(self) -> dict[str, Any]: "start": self.start, "end": self.end, "confidence": self.confidence, - "health_context": self.health_context, } @@ -63,13 +57,11 @@ class DetectionResult: entities: list[Entity] risk_level: RiskLevel - health_context: bool = False def to_dict(self) -> dict[str, Any]: return { "entities": [e.to_dict() for e in self.entities], "risk_level": self.risk_level, - "health_context": self.health_context, } @property @@ -86,16 +78,10 @@ class PolicyDecision: route: Route policy: PolicyName - reasons: list[str] = field(default_factory=list) rationale: str = "" def to_dict(self) -> dict[str, Any]: - return { - "route": self.route, - "policy": self.policy, - "reasons": list(self.reasons), - "rationale": self.rationale, - } + return {"route": self.route, "policy": self.policy, "rationale": self.rationale} @dataclass(frozen=True) @@ -106,14 +92,9 @@ class MaskedText: text: str token_map: dict[str, str] = field(default_factory=dict) - replacements: list[dict[str, Any]] = field(default_factory=list) def to_dict(self) -> dict[str, Any]: - return { - "text": self.text, - "token_map": dict(self.token_map), - "replacements": list(self.replacements), - } + return {"text": self.text, "token_map": dict(self.token_map)} TraceStage = Literal[ diff --git a/masker/demo.py b/masker/demo.py index af834a5c..4962c570 100644 --- a/masker/demo.py +++ b/masker/demo.py @@ -71,11 +71,7 @@ def _backend_from_arg(name: str): def main(argv: list[str] | None = None) -> int: p = argparse.ArgumentParser(description="Run the four BACKLOG scenarios end-to-end.") p.add_argument("--backend", choices=["stub", "cactus", "gemini", "auto"], default="stub") - p.add_argument( - "--policy", - choices=["hipaa_base", "hipaa_logging_strict", "hipaa_clinical_context"], - default="hipaa_base", - ) + p.add_argument("--policy", choices=["hipaa_base", "hipaa_logging", "hipaa_clinical"], default="hipaa_base") p.add_argument("--json", action="store_true", help="emit machine-readable JSONL") p.add_argument("--scenario", help="run only the scenario whose label contains this string") args = p.parse_args(argv) @@ -108,7 +104,6 @@ def main(argv: list[str] | None = None) -> int: print(f" user : {s.text}") print(f" detected : {[e.type.value for e in result.detection.entities]} (risk={result.detection.risk_level})") print(f" policy : {result.policy.route} (expected={s.expected_route})") - print(f" reasons : {', '.join(result.policy.reasons)}") print(f" rationale : {result.policy.rationale}") print(f" masked : {result.masked_input.text}") print(f" β†’ model : {result.model_output[:160]}") diff --git a/masker/detection.py b/masker/detection.py index b554095c..fef70d33 100644 --- a/masker/detection.py +++ b/masker/detection.py @@ -15,84 +15,23 @@ from .contracts import DetectionResult, Entity, EntityType, RiskLevel -_PATTERNS: list[tuple[EntityType, Pattern[str], float]] = [ - (EntityType.SSN, re.compile(r"\b\d{3}-\d{2}-\d{4}\b"), 0.99), - ( - EntityType.PHONE, - re.compile(r"(? None: - if any(existing.start == start and existing.end == end and existing.type == type_ for existing in entities): - return - entities.append( - Entity( - type=type_, - value=value, - start=start, - end=end, - confidence=confidence, - health_context=health_context, - ) - ) - def _risk_from_entities(entities: list[Entity], has_health_context: bool) -> RiskLevel: if not entities and not has_health_context: @@ -114,61 +53,35 @@ def detect(text: str) -> DetectionResult: Keep returning a DetectionResult so the rest of the pipeline is unaffected. """ entities: list[Entity] = [] - for etype, pattern, confidence in _PATTERNS: + for etype, pattern in _PATTERNS: for m in pattern.finditer(text): - has_capture = bool(m.groups()) - value = m.group(1) if has_capture else m.group(0) - _append_entity( - entities, - type_=etype, - value=value, - start=m.start(1) if has_capture else m.start(), - end=m.end(1) if has_capture else m.end(), - confidence=confidence, + value = m.group(1) if m.groups() else m.group(0) + entities.append( + Entity( + type=etype, + value=value, + start=m.start(), + end=m.end(), + confidence=0.9, + ) ) - for etype, pattern, confidence in _PATIENT_ID_PATTERNS: - for m in pattern.finditer(text): - _append_entity( - entities, - type_=etype, - value=m.group(1), - start=m.start(1), - end=m.end(1), - confidence=confidence, - health_context=True, - ) - - for pattern in _NAME_PATTERNS: - for m in pattern.finditer(text): - _append_entity( - entities, - type_=EntityType.NAME, - value=m.group(1), - start=m.start(1), - end=m.end(1), - confidence=0.72, + has_health = bool(_HEALTH_KEYWORDS.search(text)) + if has_health: + m = _HEALTH_KEYWORDS.search(text) + if m: + entities.append( + Entity( + type=EntityType.HEALTH_CONTEXT, + value=m.group(0), + start=m.start(), + end=m.end(), + confidence=0.7, + ) ) - health_matches = list(_HEALTH_KEYWORDS.finditer(text)) - has_health = bool(health_matches) - for m in health_matches: - _append_entity( - entities, - type_=EntityType.HEALTH_CONTEXT, - value=m.group(0), - start=m.start(), - end=m.end(), - confidence=0.7, - health_context=True, - ) - risk = _risk_from_entities( [e for e in entities if e.type != EntityType.HEALTH_CONTEXT], has_health, ) - return DetectionResult( - entities=sorted(entities, key=lambda entity: (entity.start, entity.end, entity.type.value)), - risk_level=risk, - health_context=has_health, - ) + return DetectionResult(entities=entities, risk_level=risk) diff --git a/masker/example_privacy.py b/masker/example_privacy.py deleted file mode 100644 index 1498396f..00000000 --- a/masker/example_privacy.py +++ /dev/null @@ -1,31 +0,0 @@ -"""Tiny usage example for the Codex privacy pipeline. - -Run: - python -m masker.example_privacy -""" - -from __future__ import annotations - -import json - -from .privacy import analyze_transcript - - -def main() -> None: - text = "My doctor said I have chest pain and my insurance ID is BCBS-887421." - result = analyze_transcript(text, policy_name="hipaa_clinical_context") - - print("INPUT") - print(text) - print("\nDETECTION") - print(json.dumps(result.detection.to_dict(), indent=2)) - print("\nDECISION") - print(json.dumps(result.policy.to_dict(), indent=2)) - print("\nMASKED") - print(result.masked.text) - print("\nTIMINGS") - print(json.dumps(result.timings.to_dict(), indent=2)) - - -if __name__ == "__main__": - main() diff --git a/masker/masking.py b/masker/masking.py index b132cb54..8e9f0cef 100644 --- a/masker/masking.py +++ b/masker/masking.py @@ -14,7 +14,7 @@ import hashlib from typing import Literal -from .contracts import DetectionResult, EntityType, MaskedText +from .contracts import DetectionResult, MaskedText MaskMode = Literal["placeholder", "token"] @@ -37,41 +37,23 @@ def mask( to the same redacted entity multiple times. """ spans = sorted( - [ - e - for e in detection.entities - if e.start >= 0 and e.end > e.start and e.type != EntityType.HEALTH_CONTEXT - ], + [e for e in detection.entities if e.start >= 0 and e.end > e.start], key=lambda e: e.start, reverse=True, ) out = text token_map: dict[str, str] = {} - replacements: list[dict[str, str | int]] = [] - occupied: list[tuple[int, int]] = [] for e in spans: - if any(not (e.end <= start or e.start >= end) for start, end in occupied): - continue if mode == "token": replacement = _token_for(e.value) token_map[replacement] = e.value else: - replacement = "[MASKED]" + replacement = f"[MASKED:{e.type.value}]" + token_map[replacement] = e.value out = out[: e.start] + replacement + out[e.end :] - replacements.append( - { - "type": e.type.value, - "original": e.value, - "replacement": replacement, - "start": e.start, - "end": e.end, - } - ) - occupied.append((e.start, e.end)) - replacements.reverse() - return MaskedText(text=out, token_map=token_map, replacements=replacements) + return MaskedText(text=out, token_map=token_map) def unmask(text: str, masked: MaskedText) -> str: @@ -93,5 +75,5 @@ def scrub_output(text: str, detection: DetectionResult) -> str: for e in detection.entities: if not e.value: continue - out = out.replace(e.value, "[MASKED]") + out = out.replace(e.value, f"[MASKED:{e.type.value}]") return out diff --git a/masker/policy.py b/masker/policy.py index e708a24e..e26272a9 100644 --- a/masker/policy.py +++ b/masker/policy.py @@ -1,6 +1,6 @@ """Policy engine. CODEX OWNS THIS FILE. -Maps a DetectionResult to a PolicyDecision (route + policy + reasons). +Maps a DetectionResult to a PolicyDecision (route + policy + rationale). Ships a HIPAA-first baseline so the pipeline runs end-to-end. Codex can swap in a richer policy DSL β€” keep the signature stable. @@ -13,36 +13,6 @@ from .contracts import DetectionResult, EntityType, PolicyDecision, PolicyName _HIGH_RISK_LOCAL_ONLY: set[EntityType] = {EntityType.SSN, EntityType.MRN} -_MASKED_SEND_TYPES: set[EntityType] = { - EntityType.EMAIL, - EntityType.PHONE, - EntityType.NAME, - EntityType.ADDRESS, - EntityType.DOB, - EntityType.INSURANCE_ID, -} - - -def _normalize_policy_name(policy_name: str) -> PolicyName: - if policy_name == "hipaa_logging": - return "hipaa_logging_strict" - if policy_name == "hipaa_clinical": - return "hipaa_clinical_context" - return policy_name # type: ignore[return-value] - - -def _decision( - *, - route: str, - policy: PolicyName, - reasons: list[str], -) -> PolicyDecision: - return PolicyDecision( - route=route, # type: ignore[arg-type] - policy=policy, - reasons=reasons, - rationale=", ".join(reasons) if reasons else "no_sensitive_content_detected", - ) def decide( @@ -57,64 +27,47 @@ def decide( - masked-send: forward to LLM with sensitive spans replaced - safe-to-send: forward verbatim (no PHI/PII detected) """ - policy_name = _normalize_policy_name(policy_name) types = {e.type for e in detection.entities} - sensitive_types = {etype for etype in types if etype != EntityType.HEALTH_CONTEXT} - reasons: list[str] = [] - - if detection.health_context: - reasons.append("health_context_detected") - if sensitive_types: - reasons.append("contains_identifier") - if types & _HIGH_RISK_LOCAL_ONLY: - reasons.append("high_risk_identifier") - if types & {EntityType.INSURANCE_ID, EntityType.DOB, EntityType.ADDRESS}: - reasons.append("patient_record_linkable") - if policy_name == "hipaa_logging_strict": - if sensitive_types or detection.health_context: - return _decision( + if policy_name == "hipaa_logging": + if detection.has_sensitive: + return PolicyDecision( route="masked-send", policy=policy_name, - reasons=reasons or ["strict_logging_redaction"], + rationale="Strict logging policy: any sensitive data must be masked before traversal.", ) - if policy_name == "hipaa_clinical_context": + if policy_name == "hipaa_clinical": if types & _HIGH_RISK_LOCAL_ONLY: - return _decision( + return PolicyDecision( route="local-only", policy=policy_name, - reasons=reasons, + rationale="Direct identifiers (SSN/MRN) must stay on-device under clinical policy.", ) - if detection.health_context and sensitive_types: - return _decision( - route="local-only", - policy=policy_name, - reasons=reasons + ["clinical_context_requires_local_review"], - ) - if detection.health_context: - return _decision( + if EntityType.HEALTH_CONTEXT in types and detection.entities: + return PolicyDecision( route="masked-send", policy=policy_name, - reasons=reasons or ["clinical_context_detected"], + rationale="Clinical context with identifiers β†’ mask identifiers, keep medical context.", ) if types & _HIGH_RISK_LOCAL_ONLY: - return _decision( + return PolicyDecision( route="local-only", policy=policy_name, - reasons=reasons, + rationale=f"High-risk identifiers detected: {sorted(t.value for t in types & _HIGH_RISK_LOCAL_ONLY)}", ) - if sensitive_types & _MASKED_SEND_TYPES: - return _decision( + if detection.has_sensitive: + sensitive = sorted({e.type.value for e in detection.entities if e.type != EntityType.HEALTH_CONTEXT}) + return PolicyDecision( route="masked-send", policy=policy_name, - reasons=reasons, + rationale=f"Sensitive entities present: {sensitive}", ) - return _decision( + return PolicyDecision( route="safe-to-send", policy=policy_name, - reasons=["no_sensitive_content_detected"], + rationale="No sensitive entities detected.", ) diff --git a/masker/privacy.py b/masker/privacy.py deleted file mode 100644 index 754005ad..00000000 --- a/masker/privacy.py +++ /dev/null @@ -1,76 +0,0 @@ -"""Single-entry privacy pipeline for transcript text. - -Codex owns this helper so integration layers can call one function and receive: - detection result + policy decision + masked transcript + timing metadata -""" - -from __future__ import annotations - -import time -from dataclasses import dataclass - -from . import detection as _detection -from . import masking as _masking -from . import policy as _policy -from .contracts import DetectionResult, MaskedText, PolicyDecision, PolicyName - - -@dataclass(frozen=True) -class PrivacyTimings: - detection_ms: float - policy_ms: float - masking_ms: float - - def to_dict(self) -> dict[str, float]: - return { - "detection_ms": self.detection_ms, - "policy_ms": self.policy_ms, - "masking_ms": self.masking_ms, - "total_ms": self.detection_ms + self.policy_ms + self.masking_ms, - } - - -@dataclass(frozen=True) -class PrivacyPipelineResult: - detection: DetectionResult - policy: PolicyDecision - masked: MaskedText - timings: PrivacyTimings - - def to_dict(self) -> dict[str, object]: - return { - "detection": self.detection.to_dict(), - "policy": self.policy.to_dict(), - "masked": self.masked.to_dict(), - "timings": self.timings.to_dict(), - } - - -def analyze_transcript( - text: str, - *, - policy_name: PolicyName = "hipaa_base", - mask_mode: _masking.MaskMode = "placeholder", -) -> PrivacyPipelineResult: - detection_started = time.perf_counter() - detection = _detection.detect(text) - detection_ms = (time.perf_counter() - detection_started) * 1000.0 - - policy_started = time.perf_counter() - decision = _policy.decide(detection, policy_name=policy_name) - policy_ms = (time.perf_counter() - policy_started) * 1000.0 - - masking_started = time.perf_counter() - masked = _masking.mask(text, detection, mode=mask_mode) - masking_ms = (time.perf_counter() - masking_started) * 1000.0 - - return PrivacyPipelineResult( - detection=detection, - policy=decision, - masked=masked, - timings=PrivacyTimings( - detection_ms=detection_ms, - policy_ms=policy_ms, - masking_ms=masking_ms, - ), - ) diff --git a/rust/Cargo.lock b/rust/Cargo.lock new file mode 100644 index 00000000..f8995b07 --- /dev/null +++ b/rust/Cargo.lock @@ -0,0 +1,7 @@ +# This file is automatically @generated by Cargo. +# It is not intended for manual editing. +version = 4 + +[[package]] +name = "masker-core" +version = "0.1.0" diff --git a/rust/Cargo.toml b/rust/Cargo.toml new file mode 100644 index 00000000..4655ff3a --- /dev/null +++ b/rust/Cargo.toml @@ -0,0 +1,3 @@ +[workspace] +members = ["masker-core"] +resolver = "2" diff --git a/rust/HANDOFF.md b/rust/HANDOFF.md new file mode 100644 index 00000000..08cc2b72 --- /dev/null +++ b/rust/HANDOFF.md @@ -0,0 +1,8 @@ +### Status +- What works: the Codex privacy core now lives in `rust/masker-core` with one entrypoint, `analyze_transcript()`. +- What works: the crate returns detection result, policy decision, masked transcript, and timing metadata in one Rust value. +- What works: deterministic rules cover SSN, phone, email, MRN, insurance ID, simple name hooks, and healthcare-context keywords. +- What is blocked: Cursor's current Python integration path does not yet call into the Rust crate, so this is implemented as a clean Rust core but not yet wired into the voice loop. +- What changed: the new Python-only Codex files were removed from the branch and replaced by a standalone Rust crate plus tests and demo CLI. +- What next agent needs: Cursor can either shell out to `masker-core-demo` as a stopgap or add an FFI/binding layer to call `analyze_transcript()` directly. +- What next agent needs: Ona can use the JSON shape from the demo binary output to drive the explanation UI without waiting for full runtime wiring. diff --git a/rust/README.md b/rust/README.md new file mode 100644 index 00000000..f43d106a --- /dev/null +++ b/rust/README.md @@ -0,0 +1,18 @@ +# Rust Privacy Core + +This directory holds the Codex-owned privacy slice in Rust. + +Current scope: +- deterministic PII/PHI detection +- HIPAA-first policy routing +- masking and output scrubbing +- a single-call `analyze_transcript()` entrypoint +- unit tests and a tiny CLI demo + +Run: + +```bash +cd rust +cargo test +cargo run -p masker-core +``` diff --git a/rust/masker-core/Cargo.toml b/rust/masker-core/Cargo.toml new file mode 100644 index 00000000..0191b6bf --- /dev/null +++ b/rust/masker-core/Cargo.toml @@ -0,0 +1,12 @@ +[package] +name = "masker-core" +version = "0.1.0" +edition = "2021" + +[lib] +name = "masker_core" +path = "src/lib.rs" + +[[bin]] +name = "masker-core-demo" +path = "src/main.rs" diff --git a/rust/masker-core/src/lib.rs b/rust/masker-core/src/lib.rs new file mode 100644 index 00000000..da40d0d9 --- /dev/null +++ b/rust/masker-core/src/lib.rs @@ -0,0 +1,686 @@ +use std::fmt::Write as _; +use std::time::Instant; + +#[derive(Debug, Clone, PartialEq, Eq)] +pub enum EntityType { + Ssn, + Phone, + Email, + Name, + InsuranceId, + Mrn, + HealthContext, +} + +impl EntityType { + pub fn as_str(&self) -> &'static str { + match self { + EntityType::Ssn => "ssn", + EntityType::Phone => "phone", + EntityType::Email => "email", + EntityType::Name => "name", + EntityType::InsuranceId => "insurance_id", + EntityType::Mrn => "mrn", + EntityType::HealthContext => "health_context", + } + } +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub enum RiskLevel { + None, + Low, + Medium, + High, +} + +impl RiskLevel { + pub fn as_str(&self) -> &'static str { + match self { + RiskLevel::None => "none", + RiskLevel::Low => "low", + RiskLevel::Medium => "medium", + RiskLevel::High => "high", + } + } +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub enum PolicyPreset { + HipaaBase, + HipaaLoggingStrict, + HipaaClinicalContext, +} + +impl PolicyPreset { + pub fn as_str(&self) -> &'static str { + match self { + PolicyPreset::HipaaBase => "hipaa_base", + PolicyPreset::HipaaLoggingStrict => "hipaa_logging_strict", + PolicyPreset::HipaaClinicalContext => "hipaa_clinical_context", + } + } +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub enum RouteDecision { + LocalOnly, + MaskedSend, + SafeToSend, +} + +impl RouteDecision { + pub fn as_str(&self) -> &'static str { + match self { + RouteDecision::LocalOnly => "local-only", + RouteDecision::MaskedSend => "masked-send", + RouteDecision::SafeToSend => "safe-to-send", + } + } +} + +#[derive(Debug, Clone, PartialEq)] +pub struct Entity { + pub entity_type: EntityType, + pub value: String, + pub start: usize, + pub end: usize, + pub confidence: f32, + pub health_context: bool, +} + +#[derive(Debug, Clone, PartialEq)] +pub struct DetectionResult { + pub entities: Vec, + pub risk_level: RiskLevel, + pub health_context: bool, +} + +#[derive(Debug, Clone, PartialEq)] +pub struct PolicyDecision { + pub route: RouteDecision, + pub policy: PolicyPreset, + pub reasons: Vec, +} + +#[derive(Debug, Clone, PartialEq)] +pub struct Replacement { + pub entity_type: EntityType, + pub original: String, + pub replacement: String, + pub start: usize, + pub end: usize, +} + +#[derive(Debug, Clone, PartialEq)] +pub struct MaskedTranscript { + pub text: String, + pub replacements: Vec, +} + +#[derive(Debug, Clone, PartialEq)] +pub struct Timings { + pub detection_ms: f64, + pub policy_ms: f64, + pub masking_ms: f64, +} + +impl Timings { + pub fn total_ms(&self) -> f64 { + self.detection_ms + self.policy_ms + self.masking_ms + } +} + +#[derive(Debug, Clone, PartialEq)] +pub struct PrivacyResult { + pub detection: DetectionResult, + pub decision: PolicyDecision, + pub masked: MaskedTranscript, + pub timings: Timings, +} + +pub fn analyze_transcript(text: &str, policy: PolicyPreset) -> PrivacyResult { + let detection_started = Instant::now(); + let detection = detect(text); + let detection_ms = detection_started.elapsed().as_secs_f64() * 1000.0; + + let policy_started = Instant::now(); + let decision = decide(&detection, policy); + let policy_ms = policy_started.elapsed().as_secs_f64() * 1000.0; + + let masking_started = Instant::now(); + let masked = mask(text, &detection); + let masking_ms = masking_started.elapsed().as_secs_f64() * 1000.0; + + PrivacyResult { + detection, + decision, + masked, + timings: Timings { + detection_ms, + policy_ms, + masking_ms, + }, + } +} + +pub fn detect(text: &str) -> DetectionResult { + let mut entities = Vec::new(); + + entities.extend(find_ssns(text)); + entities.extend(find_emails(text)); + entities.extend(find_phones(text)); + entities.extend(find_tagged_value( + text, + &["insurance id", "member id", "policy number"], + EntityType::InsuranceId, + 0.93, + false, + )); + entities.extend(find_tagged_value(text, &["mrn", "patient id", "patient identifier"], EntityType::Mrn, 0.96, true)); + entities.extend(find_names(text)); + entities.extend(find_health_context(text)); + + entities.sort_by_key(|entity| (entity.start, entity.end, entity.entity_type.as_str().to_string())); + entities.dedup_by(|left, right| { + left.start == right.start && left.end == right.end && left.entity_type == right.entity_type + }); + + let health_context = entities + .iter() + .any(|entity| entity.entity_type == EntityType::HealthContext); + let non_context_entities = entities + .iter() + .filter(|entity| entity.entity_type != EntityType::HealthContext) + .count(); + let high_risk = entities.iter().any(|entity| { + matches!(entity.entity_type, EntityType::Ssn | EntityType::Mrn | EntityType::InsuranceId) + }); + + let risk_level = if high_risk || (health_context && non_context_entities > 0) { + RiskLevel::High + } else if non_context_entities > 0 { + RiskLevel::Medium + } else if health_context { + RiskLevel::Low + } else { + RiskLevel::None + }; + + DetectionResult { + entities, + risk_level, + health_context, + } +} + +pub fn decide(detection: &DetectionResult, policy: PolicyPreset) -> PolicyDecision { + let mut reasons = Vec::new(); + let has_identifiers = detection + .entities + .iter() + .any(|entity| entity.entity_type != EntityType::HealthContext); + let has_high_risk = detection.entities.iter().any(|entity| { + matches!(entity.entity_type, EntityType::Ssn | EntityType::Mrn | EntityType::InsuranceId) + }); + let has_linkable = detection.entities.iter().any(|entity| { + matches!(entity.entity_type, EntityType::InsuranceId | EntityType::Mrn | EntityType::Name) + }); + + if detection.health_context { + reasons.push("health_context_detected".to_string()); + } + if has_identifiers { + reasons.push("contains_identifier".to_string()); + } + if has_high_risk { + reasons.push("high_risk_identifier".to_string()); + } + if has_linkable { + reasons.push("patient_record_linkable".to_string()); + } + + if matches!(policy, PolicyPreset::HipaaClinicalContext) && detection.health_context && has_identifiers { + reasons.push("clinical_context_requires_local_review".to_string()); + } + + let route = match policy { + PolicyPreset::HipaaLoggingStrict if has_identifiers || detection.health_context => { + RouteDecision::MaskedSend + } + PolicyPreset::HipaaClinicalContext if has_high_risk => RouteDecision::LocalOnly, + PolicyPreset::HipaaClinicalContext if detection.health_context && has_identifiers => { + reasons.push("clinical_context_requires_local_review".to_string()); + RouteDecision::LocalOnly + } + PolicyPreset::HipaaClinicalContext if detection.health_context => RouteDecision::MaskedSend, + _ if has_high_risk => RouteDecision::LocalOnly, + _ if has_identifiers => RouteDecision::MaskedSend, + _ => { + if reasons.is_empty() { + reasons.push("no_sensitive_content_detected".to_string()); + } + RouteDecision::SafeToSend + } + }; + + if reasons.is_empty() { + reasons.push("no_sensitive_content_detected".to_string()); + } + + PolicyDecision { + route, + policy, + reasons, + } +} + +pub fn mask(text: &str, detection: &DetectionResult) -> MaskedTranscript { + let mut replacements: Vec = detection + .entities + .iter() + .filter(|entity| entity.entity_type != EntityType::HealthContext) + .map(|entity| Replacement { + entity_type: entity.entity_type.clone(), + original: entity.value.clone(), + replacement: "[MASKED]".to_string(), + start: entity.start, + end: entity.end, + }) + .collect(); + + replacements.sort_by_key(|replacement| replacement.start); + + let mut filtered = Vec::new(); + let mut last_end = 0usize; + for replacement in replacements { + if replacement.start >= last_end { + last_end = replacement.end; + filtered.push(replacement); + } + } + + let mut output = String::new(); + let mut cursor = 0usize; + for replacement in &filtered { + output.push_str(&text[cursor..replacement.start]); + output.push_str(&replacement.replacement); + cursor = replacement.end; + } + output.push_str(&text[cursor..]); + + MaskedTranscript { + text: output, + replacements: filtered, + } +} + +pub fn scrub_output(output: &str, detection: &DetectionResult) -> String { + let mut scrubbed = output.to_string(); + for entity in &detection.entities { + if entity.entity_type != EntityType::HealthContext && !entity.value.is_empty() { + scrubbed = scrubbed.replace(&entity.value, "[MASKED]"); + } + } + scrubbed +} + +pub fn to_json(result: &PrivacyResult) -> String { + let mut json = String::new(); + json.push_str("{\n"); + json.push_str(" \"detection\": {\n"); + json.push_str(" \"entities\": [\n"); + for (idx, entity) in result.detection.entities.iter().enumerate() { + let _ = writeln!( + json, + " {{\"type\":\"{}\",\"value\":\"{}\",\"start\":{},\"end\":{},\"confidence\":{:.2},\"health_context\":{}}}{}", + entity.entity_type.as_str(), + escape_json(&entity.value), + entity.start, + entity.end, + entity.confidence, + if entity.health_context { "true" } else { "false" }, + if idx + 1 == result.detection.entities.len() { "" } else { "," } + ); + } + let _ = writeln!( + json, + " ],\n \"risk_level\": \"{}\",\n \"health_context\": {}\n }},", + result.detection.risk_level.as_str(), + if result.detection.health_context { "true" } else { "false" } + ); + let _ = writeln!( + json, + " \"policy\": {{\"route\":\"{}\",\"policy\":\"{}\",\"reasons\":[{}]}},", + result.decision.route.as_str(), + result.decision.policy.as_str(), + result + .decision + .reasons + .iter() + .map(|reason| format!("\"{}\"", escape_json(reason))) + .collect::>() + .join(",") + ); + let _ = writeln!( + json, + " \"masked\": {{\"text\": \"{}\"}},", + escape_json(&result.masked.text) + ); + let _ = writeln!( + json, + " \"timings\": {{\"detection_ms\": {:.3}, \"policy_ms\": {:.3}, \"masking_ms\": {:.3}, \"total_ms\": {:.3}}}", + result.timings.detection_ms, + result.timings.policy_ms, + result.timings.masking_ms, + result.timings.total_ms() + ); + json.push('}'); + json +} + +fn is_word_byte(byte: u8) -> bool { + byte.is_ascii_alphanumeric() || byte == b'_' +} + +fn find_ssns(text: &str) -> Vec { + let bytes = text.as_bytes(); + let mut entities = Vec::new(); + let mut idx = 0usize; + while idx + 11 <= bytes.len() { + let slice = &bytes[idx..idx + 11]; + let valid = slice[0].is_ascii_digit() + && slice[1].is_ascii_digit() + && slice[2].is_ascii_digit() + && slice[3] == b'-' + && slice[4].is_ascii_digit() + && slice[5].is_ascii_digit() + && slice[6] == b'-' + && slice[7].is_ascii_digit() + && slice[8].is_ascii_digit() + && slice[9].is_ascii_digit() + && slice[10].is_ascii_digit(); + let left_ok = idx == 0 || !is_word_byte(bytes[idx - 1]); + let right_ok = idx + 11 == bytes.len() || !is_word_byte(bytes[idx + 11]); + if valid && left_ok && right_ok { + entities.push(Entity { + entity_type: EntityType::Ssn, + value: text[idx..idx + 11].to_string(), + start: idx, + end: idx + 11, + confidence: 0.99, + health_context: false, + }); + idx += 11; + } else { + idx += 1; + } + } + entities +} + +fn find_emails(text: &str) -> Vec { + let bytes = text.as_bytes(); + let mut entities = Vec::new(); + for (idx, byte) in bytes.iter().enumerate() { + if *byte != b'@' { + continue; + } + let mut start = idx; + while start > 0 && is_email_char(bytes[start - 1]) { + start -= 1; + } + let mut end = idx + 1; + while end < bytes.len() && is_email_char(bytes[end]) { + end += 1; + } + if start < idx && end > idx + 1 { + let candidate = &text[start..end]; + if candidate.contains('.') { + entities.push(Entity { + entity_type: EntityType::Email, + value: candidate.to_string(), + start, + end, + confidence: 0.98, + health_context: false, + }); + } + } + } + entities +} + +fn is_email_char(byte: u8) -> bool { + byte.is_ascii_alphanumeric() || matches!(byte, b'.' | b'_' | b'+' | b'-') +} + +fn find_phones(text: &str) -> Vec { + let bytes = text.as_bytes(); + let mut entities = Vec::new(); + let mut idx = 0usize; + while idx < bytes.len() { + if !bytes[idx].is_ascii_digit() && bytes[idx] != b'(' && bytes[idx] != b'+' { + idx += 1; + continue; + } + let mut end = idx; + let mut digit_count = 0usize; + while end < bytes.len() && (bytes[end].is_ascii_digit() || b"()+-. ".contains(&bytes[end])) { + if bytes[end].is_ascii_digit() { + digit_count += 1; + } + end += 1; + } + let candidate = text[idx..end].trim(); + let normalized_digits = candidate.chars().filter(|ch| ch.is_ascii_digit()).count(); + if digit_count == normalized_digits && (normalized_digits == 10 || normalized_digits == 11) { + let start_offset = text[idx..end].find(candidate).unwrap_or(0); + let start = idx + start_offset; + let finish = start + candidate.len(); + entities.push(Entity { + entity_type: EntityType::Phone, + value: candidate.to_string(), + start, + end: finish, + confidence: 0.95, + health_context: false, + }); + idx = end; + } else { + idx += 1; + } + } + entities +} + +fn find_tagged_value( + text: &str, + labels: &[&str], + entity_type: EntityType, + confidence: f32, + health_context: bool, +) -> Vec { + let lower = text.to_ascii_lowercase(); + let mut entities = Vec::new(); + for label in labels { + let mut search_from = 0usize; + while let Some(relative) = lower[search_from..].find(label) { + let label_start = search_from + relative; + let mut cursor = label_start + label.len(); + while let Some(byte) = lower.as_bytes().get(cursor) { + if byte.is_ascii_whitespace() || *byte == b':' || *byte == b'#' { + cursor += 1; + } else { + break; + } + } + if lower[cursor..].starts_with("is ") { + cursor += 3; + } + let start = cursor; + while let Some(byte) = text.as_bytes().get(cursor) { + if byte.is_ascii_alphanumeric() || *byte == b'-' { + cursor += 1; + } else { + break; + } + } + let value = text[start..cursor].trim(); + if value.len() >= 4 { + entities.push(Entity { + entity_type: entity_type.clone(), + value: value.to_string(), + start, + end: start + value.len(), + confidence, + health_context, + }); + } + search_from = label_start + label.len(); + } + } + entities +} + +fn find_names(text: &str) -> Vec { + let lower = text.to_ascii_lowercase(); + let labels = ["my name is ", "patient name is ", "this is "]; + let mut entities = Vec::new(); + for label in labels { + let mut search_from = 0usize; + while let Some(relative) = lower[search_from..].find(label) { + let start = search_from + relative + label.len(); + let remaining = &text[start..]; + let end = remaining + .find(|ch: char| matches!(ch, ',' | '.' | ';' | ':' | '\n')) + .map(|offset| start + offset) + .unwrap_or(text.len()); + let candidate = text[start..end].trim(); + let parts: Vec<&str> = candidate.split_whitespace().collect(); + let title_case = !parts.is_empty() + && parts.len() <= 3 + && parts.iter().all(|part| { + let mut chars = part.chars(); + matches!(chars.next(), Some(ch) if ch.is_ascii_uppercase()) + && chars.all(|ch| ch.is_ascii_lowercase()) + }); + if title_case { + entities.push(Entity { + entity_type: EntityType::Name, + value: candidate.to_string(), + start, + end: start + candidate.len(), + confidence: 0.72, + health_context: false, + }); + } + search_from = start; + } + } + entities +} + +fn find_health_context(text: &str) -> Vec { + let keywords = [ + "chest pain", + "doctor", + "diagnosis", + "diagnosed", + "symptom", + "symptoms", + "insurance", + "insurance id", + "patient", + "medical", + "prescription", + "medication", + "allergy", + "allergies", + "asthma", + "diabetes", + "cancer", + "blood pressure", + "heart attack", + "anxiety", + "depression", + "surgery", + ]; + let lower = text.to_ascii_lowercase(); + let mut entities = Vec::new(); + for keyword in keywords { + let mut search_from = 0usize; + while let Some(relative) = lower[search_from..].find(keyword) { + let start = search_from + relative; + let end = start + keyword.len(); + entities.push(Entity { + entity_type: EntityType::HealthContext, + value: text[start..end].to_string(), + start, + end, + confidence: 0.70, + health_context: true, + }); + search_from = end; + } + } + entities +} + +fn escape_json(input: &str) -> String { + input + .replace('\\', "\\\\") + .replace('"', "\\\"") + .replace('\n', "\\n") +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn safe_query_routes_safe_to_send() { + let result = analyze_transcript("What's the weather tomorrow?", PolicyPreset::HipaaBase); + assert_eq!(result.detection.risk_level, RiskLevel::None); + assert_eq!(result.decision.route, RouteDecision::SafeToSend); + } + + #[test] + fn healthcare_identifier_routes_local_only_in_clinical_policy() { + let result = analyze_transcript( + "My doctor said I have chest pain and my insurance ID is BCBS-887421.", + PolicyPreset::HipaaClinicalContext, + ); + assert_eq!(result.detection.risk_level, RiskLevel::High); + assert!(result.detection.health_context); + assert_eq!(result.decision.route, RouteDecision::LocalOnly); + assert!(result + .decision + .reasons + .contains(&"clinical_context_requires_local_review".to_string())); + } + + #[test] + fn personal_info_routes_masked_send() { + let result = + analyze_transcript("Email me at jane@example.com or call 415-555-0123.", PolicyPreset::HipaaBase); + assert_eq!(result.decision.route, RouteDecision::MaskedSend); + assert!(result.masked.text.contains("[MASKED]")); + assert!(!result.masked.text.contains("jane@example.com")); + } + + #[test] + fn masking_preserves_context() { + let text = "My doctor said my insurance ID is BCBS-887421."; + let detection = detect(text); + let masked = mask(text, &detection); + assert_eq!(masked.text, "My doctor said my insurance ID is [MASKED]."); + } + + #[test] + fn scrub_output_re_masks_leaked_values() { + let detection = detect("Please email jane@example.com"); + let scrubbed = scrub_output("I will contact jane@example.com now.", &detection); + assert_eq!(scrubbed, "I will contact [MASKED] now."); + } +} diff --git a/rust/masker-core/src/main.rs b/rust/masker-core/src/main.rs new file mode 100644 index 00000000..0284d9ff --- /dev/null +++ b/rust/masker-core/src/main.rs @@ -0,0 +1,7 @@ +use masker_core::{analyze_transcript, to_json, PolicyPreset}; + +fn main() { + let sample = "My doctor said I have chest pain and my insurance ID is BCBS-887421."; + let result = analyze_transcript(sample, PolicyPreset::HipaaClinicalContext); + println!("{}", to_json(&result)); +} diff --git a/rust/target/.rustc_info.json b/rust/target/.rustc_info.json new file mode 100644 index 00000000..be4b9f11 --- /dev/null +++ b/rust/target/.rustc_info.json @@ -0,0 +1 @@ +{"rustc_fingerprint":15383207200313069584,"outputs":{"17747080675513052775":{"success":true,"status":"","code":0,"stdout":"rustc 1.93.1 (01f6ddf75 2026-02-11)\nbinary: rustc\ncommit-hash: 01f6ddf7588f42ae2d7eb0a2f21d44e8e96674cf\ncommit-date: 2026-02-11\nhost: aarch64-apple-darwin\nrelease: 1.93.1\nLLVM version: 21.1.8\n","stderr":""},"4519493916264270397":{"success":true,"status":"","code":0,"stdout":"___\nlib___.rlib\nlib___.dylib\nlib___.dylib\nlib___.a\nlib___.dylib\n/Users/navi/.rustup/toolchains/stable-aarch64-apple-darwin\noff\npacked\nunpacked\n___\ndebug_assertions\npanic=\"unwind\"\nproc_macro\ntarget_abi=\"\"\ntarget_arch=\"aarch64\"\ntarget_endian=\"little\"\ntarget_env=\"\"\ntarget_family=\"unix\"\ntarget_feature=\"aes\"\ntarget_feature=\"crc\"\ntarget_feature=\"dit\"\ntarget_feature=\"dotprod\"\ntarget_feature=\"dpb\"\ntarget_feature=\"dpb2\"\ntarget_feature=\"fcma\"\ntarget_feature=\"fhm\"\ntarget_feature=\"flagm\"\ntarget_feature=\"fp16\"\ntarget_feature=\"frintts\"\ntarget_feature=\"jsconv\"\ntarget_feature=\"lor\"\ntarget_feature=\"lse\"\ntarget_feature=\"neon\"\ntarget_feature=\"paca\"\ntarget_feature=\"pacg\"\ntarget_feature=\"pan\"\ntarget_feature=\"pmuv3\"\ntarget_feature=\"ras\"\ntarget_feature=\"rcpc\"\ntarget_feature=\"rcpc2\"\ntarget_feature=\"rdm\"\ntarget_feature=\"sb\"\ntarget_feature=\"sha2\"\ntarget_feature=\"sha3\"\ntarget_feature=\"ssbs\"\ntarget_feature=\"vh\"\ntarget_has_atomic=\"128\"\ntarget_has_atomic=\"16\"\ntarget_has_atomic=\"32\"\ntarget_has_atomic=\"64\"\ntarget_has_atomic=\"8\"\ntarget_has_atomic=\"ptr\"\ntarget_os=\"macos\"\ntarget_pointer_width=\"64\"\ntarget_vendor=\"apple\"\nunix\n","stderr":""}},"successes":{}} 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