pyproject.toml

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "debat-zero"
version = "0.2.0"
description = "LLM Bias Tracker for Colombian Elections 2026 + AI Debate Platform — regional model comparison across US, China, Europe, Latin America"
readme = "README.md"
requires-python = ">=3.11"
license = "MIT"
keywords = ["llm", "bias", "colombia", "elections", "debat", "weird", "cultural-bias"]
authors = [
  { name = "SIMG-UN", email = "alejandro.sanchezp@gmail.com" }
]

dependencies = [
  # LLM clients
  "anthropic>=0.30.0",
  "openai>=1.35.0",
  "google-generativeai>=0.7.0",
  "ollama>=0.3.0",
  "httpx>=0.27.0",
  
  # Core
  "pydantic>=2.7.0",
  "python-dotenv>=1.0.0",
  
  # Web
  "fastapi>=0.111.0",
  "uvicorn[standard]>=0.30.0",
]

[project.optional-dependencies]
analysis = [
  "pandas>=2.2.0",
  "jupyter>=1.0.0",
  "matplotlib>=3.9.0",
  "seaborn>=0.13.0",
  "scipy>=1.13.0",
  "datasets>=2.19.0",
]
dev = [
  "pytest>=8.0.0",
  "pytest-asyncio>=0.23.0",
  "fastapi>=0.111.0",
  "httpx>=0.27.0",
]

[project.urls]
Homepage = "https://github.com/asperjasp/Datable"
Repository = "https://github.com/asperjasp/Datable"

[tool.hatch.build.targets.wheel]
packages = ["tracker", "app"]

[tool.pytest.ini_options]
asyncio_mode = "auto"

[tool.ruff]
line-length = 100
select = ["E", "F", "I", "N", "W"]
ignore = ["E501"]

# ── Regional Model Classification ─────────────────────────────────────────
#
# For analysis and paper reporting, models are grouped by region:
#
# - US: anthropic (claude), openai (gpt4o), google (gemini)
# - China: dashscope (qwen_direct), openrouter (qwen_or, deepseek, ling, baichuan)
# - Europe: mistral (mistral_large, mistral_small)
# - Latin America: huggingface (llama_8b) + future LATAM GPT
# - Local: ollama (gemma2_local, gemma4_local)
#
# Cross-Provider Consistency:
# - qwen_direct (native) vs qwen_or (OpenRouter proxy)
# - Same model, different API path — measure provider-level bias