feat: scaffold tolkien v0 — local-LLM classifier wrapper + CLI + eval

Initial skeleton for the deterministic compound-AI pipeline that turns
`tolkien deploy <name>` into a valinor scaffold. v0 wires one classifier
(`db_kind`) end-to-end against the Ollama-on-radagast backend so we can
iterate prompts with confidence before adding the rest.

- pyproject.toml: uv project, Python 3.13, httpx/pydantic/typer/pyyaml.
- src/tolkien/llm.py: single-turn /api/chat wrapper. JSON-mode + temp 0 +
  30m keep-alive. Pydantic schema validation on parse.
- src/tolkien/cli.py: `tolkien classify db-kind --doc <file>` runs the
  classifier and prints JSON. `tolkien deploy <name>` is stubbed.
- src/tolkien/prompts/db_kind.md: tight system prompt with 1-shot example
  and explicit "return ONLY JSON" guard.
- src/tolkien/schemas.py: DbKindResult pydantic model.
- eval/cases/mealie.yml + run_eval.py: regression harness. Currently
  one case (mealie); failures print field-level diffs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

pyproject.toml

@@ -0,0 +1,29 @@
+[project]
+name = "tolkien"
+version = "0.1.0"
+description = "Local-LLM orchestrator that scaffolds valinor app deployments from a one-line spec."
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "httpx>=0.27",
+    "pydantic>=2.8",
+    "pyyaml>=6.0",
+    "typer>=0.12",
+]
+
+[project.scripts]
+tolkien = "tolkien.cli:app"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/tolkien"]
+
+[tool.ruff]
+line-length = 100
+target-version = "py313"
+
+[tool.ruff.lint]
+select = ["E", "F", "I", "UP", "B", "SIM"]