058362b87f
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>
30 lines
590 B
TOML
30 lines
590 B
TOML
[project]
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name = "tolkien"
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version = "0.1.0"
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description = "Local-LLM orchestrator that scaffolds valinor app deployments from a one-line spec."
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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"httpx>=0.27",
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"pydantic>=2.8",
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"pyyaml>=6.0",
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"typer>=0.12",
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]
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[project.scripts]
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tolkien = "tolkien.cli:app"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/tolkien"]
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[tool.ruff]
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line-length = 100
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target-version = "py313"
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[tool.ruff.lint]
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select = ["E", "F", "I", "UP", "B", "SIM"]
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