Tanuki/tanuki.py
Prompt engineering for developers
Enforces typed outputs through Python type hints and Pydantic schemas to constrain LLM responses, then automatically distills smaller, cheaper models from execution data as usage scales. Uses n-shot prompting with cached alignment examples from test assertions, and integrates with OpenAI, Amazon Bedrock, and Together AI backends. Includes built-in RAG support with embedding generation for retrieval-augmented generation workflows.
695 stars and 55 monthly downloads. No commits in the last 6 months. Available on PyPI.
Stars
695
Forks
27
Language
Python
License
MIT
Category
Last pushed
Feb 13, 2024
Monthly downloads
55
Commits (30d)
0
Dependencies
7
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