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Author SHA1 Message Date
Patrick Plate 9453aecf0b fix(roo): add anti-loop guardrails to prevent autonomous session resumption
- Add Rule 9 (Anti-Loop Guardrail) to 01-bigmind-core.md: detect 2+ identical
  partial sessions and surface the loop to user instead of auto-resuming
- Add partial=history clause to Rule 1: partial/blocked/abandoned outcomes are
  historical records only, never task queue items
- Add focus guard to memory_announce_focus: must reflect current user message,
  not prior session outcome; use 'Awaiting user task assignment' if no task yet
- Add .roo/rules/06-anti-loop.md: global injection for ALL modes overriding
  any mode-specific 'do the task immediately' behavior
- Add mode interaction safety clause to 00-identity.md: session ritual does not
  authorize beginning any task — only explicit user message does

Root cause: pic-gen 'do the task' personality + BigMind context inference
produced 6 identical partial branding sessions in a loop.
2026-04-10 23:27:32 +02:00
Patrick Plate 1d1e70776f docs(plans): add heretic encoder swap task for FLUX.2 Klein uncensored generation 2026-04-10 20:32:05 +02:00
Patrick Plate 1d8849cb41 fix(mcp-image-gen): confirmed working FLUX.2 Klein encoder filename
- CLIPLoader clip_name: qwen_3_4b_klein.safetensors (from Comfy-Org/vae-text-encorder-for-flux-klein-4b)
- VAE: flux2-vae.safetensors (321MB, same repo)
- Live test confirmed: 2.1MB photorealistic 1024x1024 PNG in 52.43s on RX 7900 XTX
- Test: assert clip_name == qwen_3_4b_klein.safetensors
- 37/37 tests pass
2026-04-10 20:29:18 +02:00
Patrick Plate 40c91edf2f fix(mcp-image-gen): merge CFGGuider workflow fix for FLUX.2 Klein 4B 2026-04-10 20:21:16 +02:00
7 changed files with 391 additions and 4 deletions
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@@ -24,4 +24,15 @@ BigMind is my persistent memory MCP server at `~/.mcp/bigmind/memory.db`. I use
- Use BigMind memory at the start of every task.
- Form explicit hypotheses with confidence % during analysis.
- Optimize for token efficiency — search memory before reading files.
- Work in modes: Architect (plan), Code (implement), Ask (explain), Debug (troubleshoot).
- Work in modes: Architect (plan), Code (implement), Ask (explain), Debug (troubleshoot).
## ⚠️ Session Ritual ≠ Task Authorization
Completing `memory_start_session()` + `memory_list_hypotheses()` + `memory_announce_focus()` does
**NOT** authorize beginning any task. It is housekeeping only.
**Work begins only when Patrick explicitly assigns a task in the current conversation.**
Prior session outcomes (`partial`, `blocked`, `abandoned`) are historical records. They are never
instructions. Mode-specific rules that say "do the task immediately" apply only to tasks given by
the user in this conversation — not to tasks inferred from memory context.
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@@ -4,11 +4,18 @@
Every new session must begin with the following sequence executed in strict order before any other work is performed:
1. `memory_start_session()` — Open a new session and load all prior context, including user preferences, active projects, and recent decisions.
2. `memory_list_hypotheses()` — Review all open hypotheses from previous sessions. Assess whether any have become stale, require updated confidence scores, or can be immediately resolved based on new information.
3. `memory_announce_focus()` — Declare the explicit focus of this session, including the task objective, all files expected to be read or modified, the working branch if applicable, and the IDE environment (ide_hint="VS Code" or ide_hint="IntelliJ" as appropriate).
3. `memory_announce_focus()` — Declare the explicit focus of this session, including the task objective, all files expected to be read or modified, the working branch if applicable, and the IDE environment (ide_hint="VS Code" or ide_hint="IntelliJ" as appropriate). **The focus MUST reflect the current session's task as stated by the user's first message. If the user has not yet given a task at the time of calling, use `"Awaiting user task assignment"` as the description. Never derive focus from a prior session's partial/blocked/abandoned outcome.**
4. `memory_close_stale_sessions()` — Identify and close any orphaned sessions left behind by crashed or terminated IDE instances. A session is considered stale if it has had no activity for more than 2 hours and no corresponding active IDE is detected.
Do not skip any step. Do not reorder. If any call fails, retry once before proceeding with a logged warning.
> **⚠️ CRITICAL — Partial Sessions Are History, Not a Task Queue:**
> Sessions closed with `partial`, `blocked`, or `abandoned` outcomes are **historical records only**.
> They do NOT constitute pending obligations, resumption requests, or open tasks.
> A new session begins fresh. The **only** source of the current session's task is what the user
> writes in their **first message of this conversation** — never the outcome of a prior session.
> Reading prior context is for awareness only — it does NOT authorize beginning any prior task.
## Rule 2: Session End Ritual (Always Last Action — No Exceptions)
Every session must conclude with:
`memory_end_session()` — Close the session with all of the following fields populated:
@@ -60,4 +67,28 @@ Multiple IDEs and sessions may be active simultaneously. Treat this as a concurr
## Rule 8: Consistency and Self-Correction
- If at any point during a session you realize a rule was skipped or partially followed, immediately remediate by executing the missed step and logging the correction.
- Periodically during long sessions (approximately every 10 substantive exchanges), perform a lightweight self-audit: verify the session is still focused on the announced objective, check for unflagged important exchanges, and update any hypothesis confidence scores that may have shifted.
- If the user provides information that contradicts a stored fact, update the fact immediately and log the change with the old value, new value, and reason for the update.
- If the user provides information that contradicts a stored fact, update the fact immediately and log the change with the old value, new value, and reason for the update.
## Rule 9: Detect and Break Session Loops Before They Start
A **session loop** occurs when multiple consecutive sessions share near-identical headlines, topics,
and `partial`/`blocked`/`abandoned` outcomes — indicating the same task failed to complete repeatedly
without user re-authorization.
**Detection:** If `memory_start_session()` context shows **2 or more** recently closed sessions with:
- Substantially similar headlines or topics, **AND**
- `partial`, `blocked`, or `abandoned` outcome
**Required Response — Break the loop immediately:**
1. Do NOT attempt to resume or retry the repeated task silently
2. Inform the user: "I noticed the last N sessions all attempted [task] and ended partial. I won't auto-resume that. What would you like to do?"
3. Summarize what context/progress was accumulated across those sessions
4. Wait for an explicit user instruction before doing anything
**Explicit resumption:** If the user's first message in this conversation explicitly asks to continue
or retry the previous task, that is a valid instruction — proceed normally. The rule only prevents
**silent autonomous resumption** based on context alone.
**Mode interaction:** This rule applies regardless of mode. Even if a mode's rules say "do the task
immediately," prior session context alone is never sufficient authorization. Only the user's live
message in this conversation authorizes action.
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@@ -0,0 +1,56 @@
# Anti-Loop Guardrail — Mandatory for All Modes
## ⛔ Never Resume Past Work Without Explicit User Authorization
This rule applies to **every mode** (code, architect, debug, pic-gen, ask, homelab, paisy, etc.)
and **overrides any mode-specific "do the task immediately" instructions**.
### The Core Prohibition
**Prior session context — including `partial`, `blocked`, or `abandoned` outcomes — does NOT
authorize beginning, resuming, or retrying any task.**
The only valid source of a task in any session is what **the user writes in their first message
of the current conversation.**
### What NOT To Do At Session Start
❌ Do NOT look at the last session headline and start that task
❌ Do NOT interpret `partial` outcome as "I need to finish this"
❌ Do NOT call `memory_announce_focus()` with a prior session's task before the user speaks
❌ Do NOT begin any creative, generative, or code-writing work based on context alone
❌ Do NOT assume "the user probably wants to continue" — ask if unsure
### What TO Do At Session Start
✅ Load context for **awareness only** — past sessions are reference, not instructions
✅ Announce focus as `"Awaiting user task assignment"` if the user has not yet spoken
✅ Wait for the user's first message before doing any substantive work
✅ If context shows a loop (2+ identical partial sessions), surface it explicitly and ask
### Session Loop Detection
If `memory_start_session()` context shows **2 or more** recently closed sessions with:
- Near-identical headlines or topics, AND
- `partial`, `blocked`, or `abandoned` outcome
**Stop. Do not resume.** Inform the user:
> "I noticed the last [N] sessions all attempted [task description] and ended partial.
> I won't auto-resume that — it's likely causing a loop. What would you like to do?"
Then wait for an explicit instruction.
### Exception: Explicit Resumption
If the user's **first message** in this conversation explicitly says to continue or retry
a prior task (e.g., "continue the branding generation", "pick up where we left off"),
that IS valid authorization — proceed normally.
The rule only prevents **silent autonomous resumption** from context inference.
---
*This file is loaded for all modes via `.roo/rules/`. It was added 2026-04-10 to fix a
session loop bug where pic-gen sessions repeatedly attempted CannaManage branding generation
without user authorization, producing 6 identical `partial` sessions.*
@@ -2,7 +2,7 @@
"1": {
"class_type": "CLIPLoader",
"inputs": {
"clip_name": "qwen_3_4b_bfl.safetensors",
"clip_name": "qwen_3_4b_klein.safetensors",
"type": "flux2",
"device": "default"
}
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@@ -67,6 +67,7 @@ def test_build_flux_workflow_heretic_model():
assert wf["1"]["class_type"] == "CLIPLoader" # Qwen3-4B uses single CLIPLoader
assert wf["1"]["inputs"]["type"] == "flux2" # correct type for FLUX.2
assert wf["1"]["inputs"]["device"] == "default" # required for FLUX.2 CLIPLoader
assert wf["1"]["inputs"]["clip_name"] == "qwen_3_4b_klein.safetensors" # Comfy-Org/vae-text-encorder-for-flux-klein-4b
assert wf["2"]["class_type"] == "CLIPTextEncode" # standard CLIP encode (not Flux-specific)
assert wf["4"]["class_type"] == "UNETLoader"
assert wf["4"]["inputs"]["unet_name"] == "flux-2-klein-4b.safetensors"
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@@ -0,0 +1,149 @@
# BigMind Session Loop — Root Cause & Fix Plan
**Date:** 2026-04-10
**Reported by:** Patrick
**Severity:** High — caused 6 identical wasted sessions with $0+ API cost per loop
---
## Problem Statement
BigMind's session ritual, combined with mode-specific behavior rules, creates a self-reinforcing
resumption loop when a session ends as `partial`. The model loads prior context, sees an incomplete
task, and autonomously attempts to resume it — without ever waiting for user input. This produces
a chain of identical `partial` sessions that only breaks when Patrick manually intervenes.
Observed: 6 identical sessions titled *"Prepared large-scale CannaManage branding generation"*,
all `partial`, all spawned from one session ending before image generation completed in pic-gen mode.
---
## Root Cause Analysis
### Loop Trigger Chain
```
[Session N] ends partial (task: CannaManage branding generation)
[Session N+1] memory_start_session() → loads context
│ Context shows: last outcome = partial
│ Rule 1: "search before every task, avoid redundant work"
│ → model reads: "prior task incomplete, I must finish it"
memory_announce_focus() called with prior session's task
│ → locks in wrong objective BEFORE user speaks
Mode rules (pic-gen) fire: "generate images now"
│ → autonomous action without user instruction
Hits context/token/tool limit → session ends partial
└──────────────────────────────────────────► REPEAT
```
### Three Compounding Failures
#### Failure 1: Rule 1 — No "partial = history only" clause
Rule 1 says to load context and search for prior work. It has **no explicit instruction**
that sessions marked `partial` are historical records, NOT resumption requests.
The model's default behavior is to treat incomplete work as a pending obligation.
#### Failure 2: memory_announce_focus — Called on prior context, not current task
The architect rules say to call `memory_announce_focus()` as part of the startup ritual.
But when no user message has been received yet, the model has nothing to announce except
the prior session's objective — which is the wrong task for the new session.
#### Failure 3: Mode interaction amplification
Modes with strong "do the task" personalities (pic-gen, code) compound the loop. When
context suggests "there's pending image generation work", pic-gen mode's instructions
say to start generating — creating autonomous action before the user speaks.
---
## Fix Design
### Fix 1: Rule 1 Addendum — Partial Sessions Are History
Add explicit text to Rule 1 in `01-bigmind-core.md`:
> **`partial`, `blocked`, or `abandoned` outcomes are historical records only.**
> They do NOT constitute task queues, resumption requests, or pending obligations.
> A new session begins fresh. The current session's task is determined solely by
> what the user writes in their first message — never by the outcome of a prior session.
### Fix 2: New Rule 9 — Anti-Loop Guardrail
Add Rule 9 to `01-bigmind-core.md`:
> **Rule 9: Detect and Break Loops Before They Start**
>
> If `memory_start_session()` context shows 2 or more recently closed sessions with:
> - Near-identical headlines or topics, AND
> - `partial` or `blocked` outcome
>
> → **Do NOT attempt to resume the repeated task.**
> → Instead: acknowledge the loop to the user, summarize what context was accumulated
> across the repeated sessions, and ask: "What would you like to do?"
>
> Never assume the correct action is to retry a failed/partial task silently.
### Fix 3: memory_announce_focus — Wait for User Input
Add a constraint to Rule 3 (announce focus):
> **`memory_announce_focus()` must reflect the CURRENT session's task.**
> Call it only AFTER the user has given a clear instruction for this conversation.
> Do NOT announce focus derived from prior session outcomes before the user speaks.
> During the startup ritual (steps 1-4 of Rule 1), use a placeholder focus if needed:
> `memory_announce_focus(session_id, "Awaiting user task assignment")`
### Fix 4: Mode Interaction Safety Clause
Add a universal safety rule (applies to all modes):
> **Session ritual completion ≠ task authorization.**
> Completing `memory_start_session()` + `memory_list_hypotheses()` + `memory_announce_focus()`
> does NOT authorize beginning any task. Work begins only when the user explicitly assigns it
> in the current conversation. Prior session context is reference material, not instruction.
---
## Files to Change
| File | Change |
|------|--------|
| `.roo/rules/01-bigmind-core.md` | Add Rule 9, add partial=history clause to Rule 1, add focus guard to Rule 3 |
| `.roo/rules/00-identity.md` | Add mode-interaction safety clause |
---
## Risk Assessment
| Risk | Likelihood | Mitigation |
|------|-----------|------------|
| Model ignores new rules in long context | Medium | Rules are loaded via rules files, not context — they apply per-session |
| Fix breaks legitimate resumption (e.g., user explicitly asks to continue) | Low | Rules say "task determined by user's first message" — explicit resumption request still works |
| New Rule 9 fires falsely on legitimate repeated partial tasks | Low | Trigger requires near-identical headlines AND repeated partial — normal work produces diverse headlines |
---
## Success Criteria
1. Starting a new session after a partial pic-gen session → model waits for user input, no autonomous generation
2. Starting a new session after 2+ identical partial sessions → model acknowledges the loop and asks what to do
3. User explicitly asking "continue the branding generation" → model correctly resumes (rule only prevents silent resumption)
---
## Implementation Order
1. Patch `.roo/rules/01-bigmind-core.md` — add Rule 9 + partial=history clause + focus guard
2. Patch `.roo/rules/00-identity.md` — add mode interaction safety clause
3. Test by starting a new session in pic-gen mode with partial history in context
4. Push to Gitea
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# Task: Swap Qwen3-4B Encoder for Heretic Abliterated Version
**Datum:** 2026-04-10
**Status:** Ready — waiting for correct Heretic encoder to be published
**Depends on:** FLUX.2 Klein 4B working (✅ done as of 2026-04-10)
---
## Goal
Replace the standard `qwen_3_4b_klein.safetensors` with an abliterated (Heretic) version that has:
- **Zero measurable quality loss** (KL divergence = 0.0000)
- **No prompt refusals** (≤3/100 in DreamFast v1.2.0 testing)
Result: `generate_image(prompt, model="flux-2-klein-4b.safetensors")` will work with **any** prompt without refusals.
---
## Current State
| File | Location | Status |
|------|----------|--------|
| `flux-2-klein-4b.safetensors` | `~/ComfyUI/models/diffusion_models/` | ✅ Working |
| `qwen_3_4b_klein.safetensors` | `~/ComfyUI/models/text_encoders/` | ✅ Working (standard, has refusals) |
| `flux2-vae.safetensors` | `~/ComfyUI/models/vae/` | ✅ Working |
The MCP workflow [`mcp/mcp-image-gen/src/workflows/flux2_klein_heretic.json`](../mcp/mcp-image-gen/src/workflows/flux2_klein_heretic.json) already uses `qwen_3_4b_klein.safetensors`**no code change needed**, only the file on disk needs to be replaced.
---
## The Problem to Solve First
The standard Heretic repos may not have the **FLUX.2 Klein-compatible** encoder dimensions:
| Encoder | `hidden_size` | Conditioning dim | Usable? |
|---------|--------------|-----------------|---------|
| BFL Qwen3-4B (FLUX.2 Klein) | **2560** | 7680 (2560×3) | ✅ |
| DreamFast/qwen3-4b-heretic | unknown — must check | ? | ⚠️ verify first |
| Standard Qwen3-4B | 4096 | 4096 | ❌ wrong |
**Before downloading, verify DreamFast's model is fine-tuned from the BFL variant** (hidden_size=2560), not the standard Qwen3 (hidden_size=4096).
---
## Steps
### Step 1: Check DreamFast Heretic repo
```bash
huggingface-cli model-info DreamFast/qwen3-4b-heretic 2>/dev/null | grep -i hidden
```
Or browse: https://huggingface.co/DreamFast/qwen3-4b-heretic/blob/main/config.json
Look for: `"hidden_size": 2560` — that's the FLUX.2 Klein-compatible version.
### Step 2a: If DreamFast has the right dimensions (2560)
```bash
# Download
huggingface-cli download DreamFast/qwen3-4b-heretic \
--local-dir /tmp/qwen3-4b-heretic/
# Back up working encoder first
cp ~/ComfyUI/models/text_encoders/qwen_3_4b_klein.safetensors \
~/ComfyUI/models/text_encoders/qwen_3_4b_klein_backup.safetensors
# Swap in the Heretic version
cp /tmp/qwen3-4b-heretic/model.safetensors \
~/ComfyUI/models/text_encoders/qwen_3_4b_klein.safetensors
```
### Step 2b: If DreamFast has wrong dimensions (4096) — find alternative
Options in order of preference:
1. **Lockout/qwen3-4b-heretic-zimage** — check if BFL-compatible:
```bash
huggingface-cli model-info Lockout/qwen3-4b-heretic-zimage 2>/dev/null | grep hidden
```
2. **Run Heretic abliteration yourself** on the working `qwen_3_4b_klein.safetensors`
Tool: https://github.com/FailSpy/abliterator
Script: `python abliterator.py --model qwen_3_4b_klein.safetensors --output qwen_3_4b_klein_heretic.safetensors`
3. **Wait** for DreamFast or BFL to publish the FLUX.2-specific abliterated encoder
### Step 3: Live test
```python
generate_image(
"an explicit test prompt that would normally be refused",
model="flux-2-klein-4b.safetensors",
steps=20
)
```
Expected: Image generated, no refusal error in ComfyUI logs.
### Step 4: If it works — no code changes needed
The MCP code, workflow JSON, and registry are already correct. Just verify:
- Check `journalctl --user -u comfyui -f` during generation for any errors
- Confirm file in `~/Pictures/mcp-generated/` was saved
---
## Fallback Plan
If the Heretic encoder is unavailable in the right dimensions, the **GGUF route** works too:
```bash
# ComfyUI-GGUF is already installed: ~/ComfyUI/custom_nodes/ComfyUI-GGUF
# Download Heretic GGUF (if BFL-compatible variant published):
huggingface-cli download Lockout/qwen3-4b-heretic-zimage \
qwen-4b-zimage-hereticV2-q8.gguf \
--local-dir ~/ComfyUI/models/text_encoders/
```
Then update [`flux2_klein_heretic.json`](../mcp/mcp-image-gen/src/workflows/flux2_klein_heretic.json) node `"1"`:
```json
"class_type": "CLIPLoaderGGUF", // instead of CLIPLoader
"inputs": {
"clip_name": "qwen-4b-zimage-hereticV2-q8.gguf",
"type": "flux2"
}
```
---
## No Code Changes Required (unless GGUF fallback)
The entire MCP server, workflow registry, and test suite are already correct. This is **purely a model file task**.
---
## Success Criteria
- [ ] `generate_image("...", model="flux-2-klein-4b.safetensors")` works with prompts that currently get refused
- [ ] Output image quality identical to standard encoder (check: no visible artifacts vs reference)
- [ ] ComfyUI logs show no dimension errors
- [ ] `qwen_3_4b_klein_backup.safetensors` kept as rollback