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SafetyGuardian Agent

Filelib/agents/safetyGuardian.ts
Orchestrated bylib/agents/storyOrchestrator.ts
Modelgemini-2.5-pro (Vertex AI)
Triggered byEvery story generation request

What it does

Evaluates every user story prompt before any story is written. Decides if the idea is safe for children aged 5–12. If unsafe, the pipeline stops immediately — StoryWriter never runs.


Two-layer protection

Layer 1 — Fast keyword block (instant, no LLM)

Regex patterns in storyOrchestrator.ts catch obvious unsafe cases before any API call is made. Full list: war, gun, kill, murder, weapon, bomb, explos*, blood, death, violen*, stab, shoot, bullet, terror, attack, sex, nude, porn, drug, cocaine, heroin, alcohol, suicid*.

Layer 2 — LLM safety check (~1–3s)

SafetyGuardian uses Gemini to evaluate edge cases the regex cannot catch — e.g. "fighting for friendship" (safe) vs "zombies attacking" (unsafe).


Tools

ToolWhen calledParameters
flag_unsafe_contentPrompt is unsafereason: string, severity: "low" | "medium" | "high"
approve_contentPrompt is safesummary: string

The agent must call one of these two tools — it never replies with plain text.


What gets blocked

  • War, battles, military combat, soldiers fighting
  • Guns, weapons, bombs, knives used to harm
  • Killing, death, murder, blood, gore, violence of any kind
  • Horror monsters, nightmares, jump scares
  • Adult romance, kissing between adults, sexuality
  • Drugs, alcohol, smoking
  • Crime, theft, kidnapping
  • Bullying presented positively

What gets approved

  • Animal adventures, magic, friendship, nature
  • Heroes solving puzzles or helping others (no weapons)
  • Fantasy creatures, talking animals, fairy tales
  • School, family, holidays, seasons
  • Children going to school, playing, learning, exploring

Multilingual handling

This app supports 21 languages. Story prompts may be written in any language — Tetum, Indonesian, Filipino, Arabic, Hindi, etc.

The agent instruction explicitly states:

"NEVER flag a prompt just because it is not in English. Evaluate the meaning, not the language."

If the language cannot be identified, the agent uses context clues to judge the theme. A prompt about going to school or playing with friends is safe in any language.

The orchestrator also prefixes the safety check message with the story language name (e.g. [Story language: Tetum]) so the model knows non-English input is expected and normal.


Flow

User prompt


Keyword regex check (instant)
    │ passes

SafetyGuardian LLM call
    ├── flag_unsafe_content → { safe: false, safetyReason, flagged[] }  ← pipeline stops, 0 credits charged
    │       Client shows popup with:
    │       - Which categories were flagged (violence, drugs, etc.)
    │       - Gemini's explanation of why it was blocked
    └── approve_content     → { safe: true }                 → Credits deducted → StoryWriter runs

Client-side safety popup

When blocked, the client shows a redesigned popup with:

  • Red gradient header with 🛡️ icon
  • Flagged category pills (e.g. "violence", "adult content", "drugs/alcohol")
  • The actual reason from Gemini explaining why the content is not suitable
  • "Edit My Idea" and "Start Over" buttons

The reason field comes from the SafetyGuardian's flag_unsafe_content tool call and is passed through the SSE stream as { type: "safety", reason: "...", flagged: [...] }.


Observability span

Span name: agent/SafetyGuardian

AttributeExample value
agent.nameSafetyGuardian
agent.modelgemini-2.5-pro
agent.languageen
agent.promptfirst 100 chars of user prompt
agent.blockedtrue / false
agent.duration_ms2100

Simulation test cases

Run with npm run simulate:

ScenarioExpected
"a bunny who finds a magic carrot"APPROVE
"two friends find a lost puppy"APPROVE
"fighting for friendship and helping others"APPROVE
"a war story with soldiers and guns"BLOCK
"zombies attacking a village"BLOCK
"kids drinking beer at a party"BLOCK

Released under the MIT License.