dodar 0.1.0

DODAR — Structured reasoning framework for AI agents, adapted from aviation CRM

DODAR

Structured reasoning framework for AI agents — adapted from aviation Crew Resource Management.

DODAR (Diagnose, Options, Decide, Action, Review) imposes explicit gates at each stage of analysis, preventing the reasoning failures that LLMs share with humans under pressure: premature anchoring, option narrowing, and treating decisions as final.

Install

pip install dodar

Quick start

from dodar import DODAR

dodar = DODAR(model="gpt-4.1-mini")
result = dodar.analyze("Your scenario here...")

# Structured access to each reasoning phase
result.diagnosis.hypotheses       # Ranked competing causes
result.options.alternatives       # Distinct paths with trade-offs
result.decision.recommendation    # The call + justification
result.action.steps               # Sequenced implementation plan
result.review.failure_modes       # Self-critique

Pipeline mode

For maximum quality, use the pipeline where each DODAR phase runs as a separate model call:

from dodar import DODAR

dodar = DODAR(model="gpt-4.1-mini", mode="pipeline")
result = dodar.analyze("Your scenario here...")

Research shows GPT-4.1 Mini + pipeline scores 104% of Claude Opus 4.6 zero-shot quality at 89% lower cost. Read the whitepaper.

Supported models

Provider	Models
Anthropic	claude-opus-4-6, claude-sonnet-4-5, claude-haiku-4-5
OpenAI	gpt-5.4, gpt-4o, gpt-4o-mini, gpt-4.1-mini, gpt-4.1-nano
Google	gemini-2.0-flash (install with pip install dodar[google])
Ollama	Any local model (install with pip install dodar[ollama])

Links

• Documentation
• Research & whitepaper
• GitHub

License

MIT