MindSpark: ThoughtForge v1.2.0 — Production-Grade

MindSpark: ThoughtForge v1.2.0 — Production-Grade

Phase 8: Robustness, Self-Healing, and Production Hardening

This is the final planned milestone. ThoughtForge is now production-grade — every failure is caught, diagnosed, and either self-healed or surfaced with a clear fix hint.

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What's new

forge_doctor.py — System Diagnostics CLI

python forge_doctor.py           # run all checks
python forge_doctor.py --fix     # check + self-heal
python forge_doctor.py --json    # machine-readable output
python forge_doctor.py --verbose # show all checks

Self-Healing

• Missing or corrupt user_config.yaml → restored from template
• Corrupt JSONL memory files → bad lines quarantined to corrupt_backup_<ts>.jsonl, good lines kept
• Corrupt SQLite DB → renamed to .corrupt_<ts>.db, empty schema rebuilt
• All file writes now use atomic write-then-rename (no partial writes)

Health Checker
Checks: config validity, backend reachability, DB integrity + WAL + FTS5, memory store files, disk space (≥500 MB), required Python packages.

Performance Tracker
Ring-buffer (1000 events) recording latency for every pipeline step. p50/p95/p99 stats. bottleneck_report() ASCII table. Accessible via get_perf_tracker().

DB Integrity Checker
PRAGMA integrity_check, WAL enforcement, FTS5 shadow-table validation, VACUUM, 24-hour result cache.

Input Sanitisation
sanitise_query() applied on every think() entry — strips null bytes, control characters, normalises unicode, truncates at 4096 chars.

Typed Error Hierarchy
All errors carry message, context, recoverable, suggested_fix. run_thoughtforge.py catches ThoughtForgeError at main() and prints a clean message instead of a traceback.

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Test suite

620 tests passing (+90 in Phase 8)

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All phases complete

Phase	Name	Status
0	Repo Foundation	✅
1	Memory Forge + Sovereign RAG	✅
2	TurboQuant Universal Inference	✅
3	Cognition Scaffolds + Orchestration	✅
4	Fragment Salvage + Refinement	✅
5	Edge + Cross-Platform Deployment	✅
6	Testing, Benchmarking, Release	✅
7	Setup Wizard + Multi-Backend + Chat	✅
8	Robustness, Self-Healing, Production	✅

🤖 Built with Claude Code

MindSpark: ThoughtForge v1.0.1

v1.0.1 — CLI Hotfix

Fixes two bugs in run_thoughtforge.py:

• setup_logging() was called with level="WARNING" (wrong signature) — now passes correct config dict
• Unicode box-drawing characters (═) caused UnicodeEncodeError on Windows cp1252 terminals — stdout now reconfigured to UTF-8 at startup

No changes to core library, tests, or benchmarks. All 447 tests still passing.

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Full release notes: see v1.0.0

MindSpark: ThoughtForge v1.0.0

MindSpark: ThoughtForge v1.0.0

Universal cognitive enhancement layer — offline-first sovereign RAG, TurboQuant inference, and memory-enforced cognition for any model size (1B phone → 70B server).

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What Is This?

ThoughtForge is not a model. It is a cognitive layer you wrap around any local GGUF model to give it:

• Sovereign RAG — offline knowledge retrieval from Wikidata, DBpedia, ConceptNet, GeoNames, and 100+ built-in reference files
• TurboQuant Inference — multi-draft generation with strict token budget enforcement, auto-detects CUDA/ROCm/Vulkan/Metal/CPU
• Cognition Scaffolds — intent routing, tone detection, goal-aligned prompt assembly
• Fragment Salvage — sentence-level scoring + multi-pass refinement to extract the best content from every draft
• Memory-Enforced Loop — citation integrity, genericness detection, quality gating with repair passes
• Edge Deployment — Dockerfile, docker-compose, install scripts for Linux/Mac/Windows/Termux/Pi

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Hardware Tiers Supported

Profile	Target	RAM
phone_low	Android (Termux)	≤ 2 GB
pi_zero	Raspberry Pi Zero	≤ 512 MB
pi_5	Raspberry Pi 5	≤ 4 GB
desktop_cpu	Laptop / desktop CPU	≤ 16 GB
desktop_gpu	Gaming GPU (CUDA/Vulkan)	≤ 16 GB VRAM
server_gpu	Multi-GPU server	24 GB+ VRAM

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Quick Start

git clone https://github.com/hrabanazviking/MindSpark_ThoughtForge
cd MindSpark_ThoughtForge
pip install -e .
python run_thoughtforge.py "What is Yggdrasil?"

Note: query is a positional argument — no --query flag. Omit it entirely for interactive REPL mode.

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Test Suite

447 tests passing across 6 phases
python -m pytest tests/ -q

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Phases Completed

Phase	Name
0	Repo Foundation + Structure
1	Memory Forge + Sovereign RAG
2	TurboQuant Universal Inference Engine
3	Cognition Scaffolds + Orchestration
4	Fragment Salvage + Refinement
5	Edge + Cross-Platform Deployment
6	Testing, Benchmarking, Personality Layer + Release

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Benchmarking

from benchmarks.benchmark_profiles import ProfileBenchmark
result = ProfileBenchmark().run("desktop_cpu")
print(result.summary())

Targets: citation accuracy ≥ 85%, enforcement pass rate ≥ 90%.

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Persona Consistency Scoring

from benchmarks.persona_consistency import PersonaConsistencyScorer
scorer = PersonaConsistencyScorer()
result = scorer.score(my_response_list)
print(result.summary())   # score ≥ 0.75 = PASS

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Built with sovereignty, honor, and a keen edge. ᚠᚢᚦᚨᚱᚲ