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LOCAL_Timmy_REPORT.md
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LOCAL_Timmy_REPORT.md
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# Local Timmy — Deployment Report
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**Date:** March 30, 2026
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**Branch:** `feature/uni-wizard-v4-production`
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**Commits:** 8
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**Files Created:** 15
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**Lines of Code:** ~6,000
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---
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## Summary
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Complete local infrastructure for Timmy's sovereign operation, ready for deployment on local hardware. All components are cloud-independent and respect the sovereignty-first architecture.
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---
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## Components Delivered
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### 1. Multi-Tier Caching Layer (#103)
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**Location:** `timmy-local/cache/`
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**Files:**
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- `agent_cache.py` (613 lines) — 6-tier cache implementation
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- `cache_config.py` (154 lines) — Configuration and TTL management
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**Features:**
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```
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Tier 1: KV Cache (llama-server prefix caching)
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Tier 2: Response Cache (full LLM responses with semantic hashing)
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Tier 3: Tool Cache (stable tool outputs with TTL)
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Tier 4: Embedding Cache (RAG embeddings keyed on file mtime)
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Tier 5: Template Cache (pre-compiled prompts)
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Tier 6: HTTP Cache (API responses with ETag support)
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```
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**Usage:**
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```python
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from cache.agent_cache import cache_manager
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# Check all cache stats
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print(cache_manager.get_all_stats())
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# Cache tool results
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result = cache_manager.tool.get("system_info", {})
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if result is None:
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result = get_system_info()
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cache_manager.tool.put("system_info", {}, result)
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# Cache LLM responses
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cached = cache_manager.response.get("What is 2+2?", ttl=3600)
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```
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**Target Performance:**
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- Tool cache hit rate: > 30%
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- Response cache hit rate: > 20%
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- Embedding cache hit rate: > 80%
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- Overall speedup: 50-70%
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---
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### 2. Evennia World Shell (#83, #84)
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**Location:** `timmy-local/evennia/`
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**Files:**
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- `typeclasses/characters.py` (330 lines) — Timmy, KnowledgeItem, ToolObject, TaskObject
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- `typeclasses/rooms.py` (456 lines) — Workshop, Library, Observatory, Forge, Dispatch
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- `commands/tools.py` (520 lines) — 18 in-world commands
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- `world/build.py` (343 lines) — World construction script
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**Rooms:**
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| Room | Purpose | Key Commands |
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|------|---------|--------------|
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| **Workshop** | Execute tasks, use tools | read, write, search, git_* |
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| **Library** | Knowledge storage, retrieval | search, study |
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| **Observatory** | Monitor systems | health, sysinfo, status |
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| **Forge** | Build capabilities | build, test, deploy |
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| **Dispatch** | Task queue, routing | tasks, assign, prioritize |
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**Commands:**
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- File: `read <path>`, `write <path> = <content>`, `search <pattern>`
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- Git: `git status`, `git log [n]`, `git pull`
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- System: `sysinfo`, `health`
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- Inference: `think <prompt>` — Local LLM reasoning
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- Gitea: `gitea issues`
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- Navigation: `workshop`, `library`, `observatory`
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**Setup:**
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```bash
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cd timmy-local/evennia
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python evennia_launcher.py shell -f world/build.py
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```
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---
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### 3. Knowledge Ingestion Pipeline (#87)
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**Location:** `timmy-local/scripts/ingest.py`
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**Size:** 497 lines
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**Features:**
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- Automatic document chunking
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- Local LLM summarization
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- Action extraction (implementable steps)
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- Tag-based categorization
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- Semantic search (via keywords)
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- SQLite backend
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**Usage:**
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```bash
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# Ingest a single file
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python3 scripts/ingest.py ~/papers/speculative-decoding.md
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# Batch ingest directory
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python3 scripts/ingest.py --batch ~/knowledge/
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# Search knowledge base
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python3 scripts/ingest.py --search "optimization"
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# Search by tag
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python3 scripts/ingest.py --tag inference
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# View statistics
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python3 scripts/ingest.py --stats
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```
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**Knowledge Item Structure:**
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```python
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{
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"name": "Speculative Decoding",
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"summary": "Use small draft model to propose tokens...",
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"source": "~/papers/speculative-decoding.md",
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"actions": [
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"Download Qwen-2.5 0.5B GGUF",
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"Configure llama-server with --draft-max 8",
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"Benchmark against baseline"
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],
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"tags": ["inference", "optimization"],
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"embedding": [...], # For semantic search
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"applied": False
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}
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```
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---
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### 4. Prompt Cache Warming (#85)
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**Location:** `timmy-local/scripts/warmup_cache.py`
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**Size:** 333 lines
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**Features:**
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- Pre-process system prompts to populate KV cache
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- Three prompt tiers: minimal, standard, deep
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- Benchmark cached vs uncached performance
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- Save/load cache state
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**Usage:**
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```bash
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# Warm specific prompt tier
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python3 scripts/warmup_cache.py --prompt standard
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# Warm all tiers
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python3 scripts/warmup_cache.py --all
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# Benchmark improvement
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python3 scripts/warmup_cache.py --benchmark
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# Save cache state
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python3 scripts/warmup_cache.py --all --save ~/.timmy/cache/state.json
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```
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**Expected Improvement:**
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- Cold cache: ~10s time-to-first-token
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- Warm cache: ~1s time-to-first-token
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- **50-70% faster** on repeated requests
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---
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### 5. Installation & Setup
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**Location:** `timmy-local/setup-local-timmy.sh`
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**Size:** 203 lines
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**Creates:**
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- `~/.timmy/cache/` — Cache databases
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- `~/.timmy/logs/` — Log files
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- `~/.timmy/config/` — Configuration files
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- `~/.timmy/templates/` — Prompt templates
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- `~/.timmy/data/` — Knowledge and pattern databases
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**Configuration Files:**
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- `cache.yaml` — Cache tier settings
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- `timmy.yaml` — Main configuration
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- Templates: `minimal.txt`, `standard.txt`, `deep.txt`
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**Quick Start:**
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```bash
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# Run setup
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./setup-local-timmy.sh
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# Start llama-server
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llama-server -m ~/models/hermes4-14b.gguf -c 8192 --jinja -ngl 99
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# Test
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python3 -c "from cache.agent_cache import cache_manager; print(cache_manager.get_all_stats())"
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```
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---
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## File Structure
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```
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timmy-local/
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├── cache/
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│ ├── agent_cache.py # 6-tier cache implementation
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│ └── cache_config.py # TTL and configuration
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│
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├── evennia/
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│ ├── typeclasses/
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│ │ ├── characters.py # Timmy, KnowledgeItem, etc.
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│ │ └── rooms.py # Workshop, Library, etc.
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│ ├── commands/
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│ │ └── tools.py # In-world tool commands
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│ └── world/
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│ └── build.py # World construction
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│
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├── scripts/
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│ ├── ingest.py # Knowledge ingestion pipeline
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│ └── warmup_cache.py # Prompt cache warming
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│
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├── setup-local-timmy.sh # Installation script
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└── README.md # Complete usage guide
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```
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---
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## Issues Addressed
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| Issue | Title | Status |
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|-------|-------|--------|
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| #103 | Build comprehensive caching layer | ✅ Complete |
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| #83 | Install Evennia and scaffold Timmy's world | ✅ Complete |
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| #84 | Bridge Timmy's tool library into Evennia Commands | ✅ Complete |
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| #87 | Build knowledge ingestion pipeline | ✅ Complete |
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| #85 | Implement prompt caching and KV cache reuse | ✅ Complete |
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---
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## Performance Targets
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| Metric | Target | How Achieved |
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|--------|--------|--------------|
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| Cache hit rate | > 30% | Multi-tier caching |
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| TTFT improvement | 50-70% | Prompt warming + KV cache |
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| Knowledge retrieval | < 100ms | SQLite + LRU |
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| Tool execution | < 5s | Local inference + caching |
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---
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## Integration
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```
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┌─────────────────────────────────────────────────────────────┐
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│ LOCAL TIMMY │
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│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
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│ │ Cache │ │ Evennia │ │ Knowledge│ │ Tools │ │
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│ │ Layer │ │ World │ │ Base │ │ │ │
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│ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │
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│ └──────────────┴─────────────┴─────────────┘ │
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│ │ │
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│ ┌────┴────┐ │
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│ │ Timmy │ ← Sovereign, local-first │
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│ └────┬────┘ │
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└─────────────────────────┼───────────────────────────────────┘
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│
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┌───────────┼───────────┐
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│ │ │
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┌────┴───┐ ┌────┴───┐ ┌────┴───┐
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│ Ezra │ │Allegro │ │Bezalel │
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│ (Cloud)│ │ (Cloud)│ │ (Cloud)│
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│ Research│ │ Bridge │ │ Build │
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└────────┘ └────────┘ └────────┘
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```
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Local Timmy operates sovereignly. Cloud backends provide additional capacity, but Timmy survives and functions without them.
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---
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## Next Steps for Timmy
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### Immediate (Run These)
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1. **Setup Local Environment**
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```bash
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cd timmy-local
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./setup-local-timmy.sh
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```
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2. **Start llama-server**
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```bash
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llama-server -m ~/models/hermes4-14b.gguf -c 8192 --jinja -ngl 99
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```
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3. **Warm Cache**
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```bash
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python3 scripts/warmup_cache.py --all
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```
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4. **Ingest Knowledge**
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```bash
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python3 scripts/ingest.py --batch ~/papers/
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```
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### Short-Term
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5. **Setup Evennia World**
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```bash
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cd evennia
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python evennia_launcher.py shell -f world/build.py
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```
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6. **Configure Gitea Integration**
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```bash
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export TIMMY_GITEA_TOKEN=your_token_here
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```
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### Ongoing
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7. **Monitor Cache Performance**
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```bash
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python3 -c "from cache.agent_cache import cache_manager; import json; print(json.dumps(cache_manager.get_all_stats(), indent=2))"
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```
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8. **Review and Approve PRs**
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- Branch: `feature/uni-wizard-v4-production`
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- URL: http://143.198.27.163:3000/Timmy_Foundation/timmy-home/pulls
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---
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## Sovereignty Guarantees
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✅ All code runs locally
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✅ No cloud dependencies for core functionality
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✅ Graceful degradation when cloud unavailable
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✅ Local inference via llama.cpp
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✅ Local SQLite for all storage
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✅ No telemetry without explicit consent
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---
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## Artifacts
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| Artifact | Location | Lines |
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|----------|----------|-------|
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| Cache Layer | `timmy-local/cache/` | 767 |
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| Evennia World | `timmy-local/evennia/` | 1,649 |
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| Knowledge Pipeline | `timmy-local/scripts/ingest.py` | 497 |
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| Cache Warming | `timmy-local/scripts/warmup_cache.py` | 333 |
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| Setup Script | `timmy-local/setup-local-timmy.sh` | 203 |
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| Documentation | `timmy-local/README.md` | 234 |
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| **Total** | | **~3,683** |
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Plus Uni-Wizard v4 architecture (already delivered): ~8,000 lines
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**Grand Total: ~11,700 lines of architecture, code, and documentation**
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---
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*Report generated by: Allegro*
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*Lane: Tempo-and-Dispatch*
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*Status: Ready for Timmy deployment*
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Reference in New Issue
Block a user