principia-ai 1.3.0

Local-first research framework for evidence-grounded idea generation.

Principia V1.3

Principia V1.3 is a local-first Python framework for research search, paper feature extraction, evidence-grounded idea generation, and prior-idea comparison.

The import package is principia. The initial PyPI distribution name is principia-ai because the principia distribution name is currently occupied on PyPI. If that ownership issue is resolved later, the import API remains unchanged.

Install

pip install principia-ai

For notebooks:

pip install principia-ai ipykernel
python -m ipykernel install --user --name principia-v13-python --display-name "Python 3.12 (Principia V1.3)"

Quickstart

import principia as pc

API_key = "sk-your-key-here"
goal = "provide real-time, calibrated, actionable process quality control for autonomous coding agents operating on large-scale repositories"

ws = pc.Workspace(
    "./principia_project",
    llm_config=pc.siliconflow_config(API_key, timeout=420, max_retries=2),
)

works = ws.research.search(goal, target_count=50)
features = ws.research.extract(
    works[:20],
    model="siliconflow:deepseek-ai/DeepSeek-V4-Pro",
    overwrite=False,
)
selected_evidence = pc.select_evidence(features)
idea = ws.ideas.generate(
    selected_evidence,
    user_note=goal,
    mode="calculus",
    model="siliconflow:Qwen/Qwen3.5-397B-A17B",
)
comparison = ws.ideas.compare(idea, features, model="siliconflow:Qwen/Qwen3.5-397B-A17B")

export_path = ws.export(
    goal=goal,
    works=works,
    features=features,
    idea=idea,
    comparison=comparison,
)

What Principia Provides

• Hybrid research search over OpenAlex, Crossref, and arXiv.
• DOI/arXiv/OpenAlex/title deduplication with peer-reviewed venue promotion.
• Structured extraction of ideas, principles, baselines, benchmarks, takeaways, and result facts.
• Evidence selection through pc.select_evidence(...).
• Idea generation modes: standard, calculus, and scidialect_evo.
• Prior-idea comparison using lexical shortlisting plus the configured LLM.
• Notebook and terminal progress with ETA, heartbeat updates during long LLM calls, cancellation, and resume-by-cache behavior.
• Local SQLite storage with visible user-facing exports.

Workspace Layout

Principia creates visible files under the workspace root:

principia_project/
  README.md
  principia_outputs/
    latest/
      idea.md
      result.json
      works.json
    exports/
      <idea_id>/
        idea.md
        result.json
        works.json
  .principia/
    principia.sqlite
    artifacts/
      source_json/
      exports/
      pdfs/
      cache/

The .principia/ folder stores internal SQLite state, cache data, and canonical artifacts. The visible principia_outputs/ folder mirrors the latest readable outputs for inspection.

Tutorial And Docs

• Official tutorial notebook: examples/principia_v13_tutorial.ipynb
• Example setup notes: examples/README.md
• API reference: docs/api.md
• Publishing checklist: docs/publishing.md

The official tutorial contains no real API key and no executed outputs. Replace YOUR_SILICONFLOW_API_KEY at runtime in your own local copy.