---
phase: 03.1-demo-chatbot
verified: 2026-02-26T19:43:37Z
status: passed
score: 4/4 must-haves verified
re_verification: false
---

# Phase 3.1: Demo Chatbot Verification Report

**Phase Goal:** A working Gemini-powered chatbot demo script that exercises all SDK scanner types with varied configurations, proving the SDK works end-to-end on a real app
**Verified:** 2026-02-26T19:43:37Z
**Status:** passed
**Re-verification:** No — initial verification

## Goal Achievement

### Observable Truths

| # | Truth | Status | Evidence |
|---|-------|--------|----------|
| 1 | A runnable demo script connects to Gemini and sends user prompts through meshulash-guard before forwarding to the LLM | VERIFIED | `demo/chatbot.py` (253 lines) imports `google.genai` v1.65.0 and all meshulash-guard types; syntax check passes; env vars validated at startup with `sys.exit(1)` on missing |
| 2 | The demo exercises multiple scanner configurations (PII with bundles, PII with overrides, topic filtering, toxicity blocking, cyber detection) | VERIFIED | Five named presets in `PRESETS` dict: Preset 1 = PIIScanner(PII bundle), Preset 2 = PIIScanner(PII+SECRETS with LOG override), Preset 3 = ToxicityScanner+TopicScanner, Preset 4 = CyberScanner(ALL), Preset 5 = Full Guard (all four scanners); all five preset constructor lists verified to execute without runtime error |
| 3 | The deanonymize workflow is demonstrated: scan -> redact -> LLM -> restore originals | VERIFIED | `chat_turn()` implements the full chain: `guard.scan_input()` -> gate on blocked -> `input_result.processed_text` as text sent to Gemini -> `guard.scan_output()` -> gate on blocked -> `guard.deanonymize(output_result.processed_text)`; vault NOT cleared in loop |
| 4 | The script produces visible output showing scan results, actions taken, and restored text | VERIFIED | `_print_scan_result()` prints: status tag (`-- INPUT SCAN [CLEAN] --`), risk_categories if non-empty, per-scanner triggered details (scanner ID, score, label(action) for each detection), placeholder count if non-zero; `chat_turn()` prints `Assistant: {final_text}` after deanonymize |

**Score:** 4/4 truths verified

### Required Artifacts

| Artifact | Expected | Status | Details |
|----------|----------|--------|---------|
| `demo/chatbot.py` | Complete Gemini chatbot demo exercising all SDK scanner types | VERIFIED | 253 lines (well above 150-line minimum); no stub patterns; all four required functions present; fully wired |

### Key Link Verification

| From | To | Via | Status | Details |
|------|----|-----|--------|---------|
| `demo/chatbot.py` | `meshulash_guard.Guard` | import + instantiation | VERIFIED | `from meshulash_guard import Guard` present; `Guard(api_key=..., tenant_id=..., server_url=...)` in `main()` with all required params |
| `demo/chatbot.py` | `google.genai.Client` | import + instantiation | VERIFIED | `from google import genai` + `genai.Client(api_key=GEMINI_API_KEY)` + `client.chats.create(model="gemini-2.5-flash", ...)` |
| `chat_turn()` | `guard.scan_input()` | scan before LLM call | VERIFIED | `input_result = guard.scan_input(user_input, scanners=scanners)` on line 153; gate checks `input_result.status == "blocked"` before forwarding |
| `chat_turn()` | `guard.deanonymize()` | restore originals after output scan | VERIFIED | `final_text = guard.deanonymize(output_result.processed_text)` on line 180; correct chain from `gemini_response.text` through `scan_output()` to `deanonymize()` |

### Anti-Patterns Found

| File | Line | Pattern | Severity | Impact |
|------|------|---------|----------|--------|
| None | — | — | — | — |

All occurrences of "placeholder" in `demo/chatbot.py` are legitimate references to the PII placeholder feature (descriptions, comments, and the `result.placeholders` field access), not stub indicators. No TODO/FIXME/empty-return/empty-handler patterns found.

### Enum Correctness Verified from Source

All enum member names used in presets were verified against actual scanner source files:

- `PIILabel.PII`, `PIILabel.SECRETS`, `PIILabel.ALL` — confirmed in `src/meshulash_guard/scanners/pii.py`
- `ToxicityLabel.TOXICITY`, `ToxicityLabel.HATE_SPEECH`, `ToxicityLabel.ALL` — confirmed in `src/meshulash_guard/scanners/toxicity.py`
- `TopicLabel.SEXUAL_EXPLICIT`, `TopicLabel.IDENTITY_ATTACK` — confirmed in `src/meshulash_guard/scanners/topic.py`
- `CyberLabel.ALL` — confirmed in `src/meshulash_guard/scanners/cyber.py`
- `JailbreakLabel.ALL` — confirmed in `src/meshulash_guard/scanners/jailbreak.py`

### Wiring Patterns Verified

All critical patterns in `chat_turn()` confirmed present in source:

- `guard.scan_input()` called before Gemini
- `input_result.processed_text` used as text sent to Gemini (not raw `user_input`)
- `guard.scan_output()` called on LLM response
- `guard.deanonymize(output_result.processed_text)` called at end of chain
- Both input and output blocked-status gates present
- `guard.clear_cache()` absent from the turn loop (vault persists across turns as required)

### Human Verification Required

None. All observable truths are verifiable by static analysis for this phase. Running the script against a live server requires real credentials and is not a structural gap — that is the expected user setup documented in the SUMMARY.

## Gaps Summary

No gaps found. The phase goal is fully achieved:

- `demo/chatbot.py` exists, is 253 lines (substantive), and is syntactically valid
- All imports (meshulash-guard + google-genai 1.65.0) resolve without error
- All five preset scanner lists construct without runtime error
- The complete scan-input / gate / LLM / scan-output / deanonymize workflow is implemented and wired correctly
- Environment variables are validated at startup with clear error messages and `sys.exit(1)` on failure
- The `_print_scan_result()` helper produces developer-realistic output (status, risk categories, triggered scanner details with scores and detection labels, placeholder counts)

---
_Verified: 2026-02-26T19:43:37Z_
_Verifier: Claude (gsd-verifier)_
