Tag
#tool-calling
7 posts
Building an AI Dungeon Master That Lives Inside Minecraft
How I built Player2 — a Fabric mod + Python daemon that puts a tool-calling LLM inside Minecraft as a real in-game companion with world manipulation and memory.
Agent Core: Database-Native Tool Calling Baked Into Weights
An open-source LoRA that teaches small language models to think in SQL before grep. 9 tools. 3 databases. 61.3% tool selection accuracy. One consumer GPU.
Agent Core v5.4: When Data Augmentation Backfires
We 6.5x'd our training data and made the model safer but less capable. Here's the root cause, the numbers, and the v5.5 fix plan.
Agent Core v5.3: What We Learned Training a Tool-Calling LoRA on Real Data
Concrete training results comparing v5.2 and v5.3 of Agent Core — a universal tool-calling LoRA for 8B models. What improved, what regressed, and why SFT has a ceiling.
Agent Core: 9 Tools Is All You Need
How we trained a universal LoRA standard — 9 tools, 3 databases, a vault boundary — into a Qwen3-8B model that beats 23-tool fine-tuning with 87% fewer prompt tokens.
Self-Distillation: Mining Your AI Conversations for LoRA Data
Your real coding agent interactions are the highest-quality training data you'll ever have. Here's the 4-stage pipeline that converts conversation histories into structured LoRA training data — zero cost until Stage 3.
Schema on the Inside: Training an 8B Model to Recall Tool Schemas From Memory
How we trained Qwen3-8B to call 23 tools without any schemas in the prompt — and beat BFCL benchmarks in the process.