waggle-os/docs/AGENT-BEHAVIOR-AUDIT-2026-04-16.md

Agent Behavior Audit — 2026-04-16

Symptoms Reported

1. Agent creates documents user never asked for
2. Agent accuses user of prompt injection on normal answers ("yes thats the story")
3. Old memories appear after data wipe
4. GEPA spinner triggers → erratic behavior follows
5. Duplicate memory frames stored

Root Causes Found

RC-1: GEPA expands mid-conversation replies (CRITICAL)

File: packages/server/src/local/routes/chat.ts:696-722 File: packages/server/src/local/services/optimizer-service.ts:120

GEPA runs on EVERY user message. Its isVague classifier treats any message ≤100 chars that isn't a greeting/question/command as "vague". Mid-conversation replies like "yes thats the story" or "the first three" get expanded into elaborate prompts.

At chat.ts:992-998, the expanded text replaces the user's original message:

User sends: "yes thats the story"
GEPA expands to: "Create a comprehensive framework document covering AI sovereignty..."
LLM sees: the expanded version → creates an unrequested document

Fix: Only run GEPA on the first user message in a session. Add isFirstUserMessage guard to the GEPA block (same check already used for ambiguity at line 731).

RC-2: Entity extractor defaults capitalized phrases to "person" (MEDIUM)

File: packages/agent/src/entity-extractor.ts:56-59

Any 2-3 word capitalized phrase with no concept/org/project indicators defaults to person type. Document headings ("Current Situation", "Key Issues", "Recommended Next Action") get extracted as person entities.

Fix: Default to concept instead of person for unclassified 2-3 word phrases.

RC-3: Cognify processes agent responses (LOW)

The cognify pipeline runs on full conversation text including agent-generated content. Agent responses contain structured headings that get mis-extracted as entities.

Fix: Only cognify user messages, or add a pre-filter to strip markdown headings.

RC-4: Frame dedup not catching identical content (LOW)

Frames 1 and 3 in the clean personal.mind are word-for-word identical.

Fix: Check for exact content match before creating new frames in cognify().

Fixes Applied

• RC-1: Guard GEPA with isFirstUserMessage (chat.ts:696 — added && isFirstUserMessage)
• RC-2: Entity extractor default → concept (entity-extractor.ts:57 — check isPerson first)
• RC-3: (deferred — cognify source filtering)
• RC-4: (deferred — frame dedup)