Phase 1 & 2: Baseline experiments + AGoT implementation + reasoning graph analysis

## Added

### Core framework
- src/llm_client.py — Ollama API wrapper for local Docker inference
- src/samples.py — Embedded benchmark datasets (GSM8K/MATH/AIME + Chinese)
- src/run_all.py — Unified experiment runner

### Phase 1: Baselines
- src/baseline/benchmark.py — IO, CoT, CoT-SC, ToT evaluation with Chinese support

### Phase 2: AGoT
- src/agot/agot.py — AGoT core algorithm (6 agent types, recursive decomposition)
- src/agot/graph_utils.py — DAG graph data structure with cycle detection
- src/agot/prompts.py — 6 agent prompt templates (EN + ZH)
- src/agot/run.py — AGoT experiment runner

### Graph Analysis
- src/graph_analysis/reasoning_graph.py — Graph property computation (cyclicity, diameter, small-world)
- src/graph_analysis/visualize.py — Visualization charts

### Documentation
- docs/graph_reasoning_principles.md — Comprehensive principles document
- docs/next_steps.md — Roadmap for reliable reasoning tool

### Experiment Results
- GSM8K/MATH baselines on qwen2.5:32b and qwq:latest
- AGoT validation (100% on small sample)
- Chinese dataset benchmarks (C-GSM8K, CMATH)
- Graph property analysis confirming Topology of Reasoning findings

.gitignore

@@ -0,0 +1,17 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.env
+
+# Jupyter
+.ipynb_checkpoints/
+
+# OS
+.DS_Store
+Thumbs.db
+
+# IDE
+.vscode/
+.idea/