prompiler 0.2.0

Spec-to-artefact prompt compiler with multi-vendor adapters and MCP server.

prompiler

Spec-to-artefact prompt compiler with multi-vendor adapters and MCP server.

prompiler compiles a declarative specification into deterministic prompt artefacts for Anthropic, OpenAI, Gemini, and Ollama backends, and exposes the compiler over a Model Context Protocol (MCP) server.

Features

• Declarative specs with composition. Author extraction specs in YAML (spec_version: 2) and share common fields across specs with extends.
• Deterministic codegen. Compile a spec into a byte-stable prompt, a Pydantic v2 model, and per-backend tool schemas.
• Multi-vendor adapters. Anthropic, OpenAI, Gemini, and Ollama behind one BackendAdapter contract.
• Multimodal input. Attach images and other modal parts (ModalContent / modal_parts) alongside the document text.
• Streaming. Consume incremental results via run_stream (StreamEvent) from backends that support it.
• Caching. A spec→artefact compile cache and a call→result cache, both on by default; opt out with PROMPILER_DISABLE_CACHE or disable_cache=True.
• Self-correcting extraction. run / run_sync validate the response against the model and perform one corrective retry on failure.
• Iterative refinement. prompiler refine --auto-apply runs a bounded propose→apply→evaluate loop against fixtures.
• Credential management. prompiler login stores OAuth tokens; keychain and OAuth providers resolve vendor credentials.
• Spec migration. prompiler migrate-spec rewrites a v1 spec to v2 in place (idempotent).
• MCP server. Expose the compiler over the Model Context Protocol for agent tooling.

Status

The v2 feature set is complete; the project is in its final hardening, docs, and release phase. See docs/PLAN.md for the roadmap and docs/PRD.md for the product spec.

New here? Start with the Tutorial for a cold-install-to-extraction walkthrough, then the Python API reference.

Requirements

• Python >=3.11,<3.12
• uv for environment and dependency management

Quickstart

uv sync
uv run prompiler --help

Pre-commit hook (downstream projects)

If your project keeps prompt specs under version control, validate them on every commit with pre-commit. prompiler validate loads and lints each spec, exiting 0 when all specs are valid, 1 on a lint error, and 2 when the path does not exist.

Add a local hook to your .pre-commit-config.yaml:

repos:
  - repo: local
    hooks:
      - id: prompiler-validate
        name: validate prompt specs
        entry: prompiler validate
        language: system
        files: ^specs/.*\.ya?ml$
        pass_filenames: false
        args: ["specs/"]

prompiler must be importable in the hook environment — either install it into the same virtualenv pre-commit runs in, or pin it via a managed environment (language: python with additional_dependencies: ["prompiler"]).

Development

Project rules live in docs/RULES.md. The pre-commit gate (ruff, mypy, pytest -m unit with coverage) runs on git commit. See docs/MANUAL_TESTING.md for the test tiers and CLAUDE.md for the agent-facing entry point.

The CLI reference at docs/CLI.md is generated from the Typer app — do not edit it by hand. Regenerate it after changing any command surface:

uv run typer src/prompiler/cli.py utils docs --name prompiler --output docs/CLI.md

License

Apache-2.0. See LICENSE.