Langfun

Latest version: v0.1.1

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0.1.1

Fix requirements.txt to avoid conflict with Google Colab.

0.1.0

Major release for the accumulated changes since 2023/09.

Key features:

- An object-in-object-out interface for LLMs with `lf.query`.
- more extensions: `lf.complete`, `lf.parse`, `lf.describe`.

- LLMs under a single interface
- support various models Gemini, GPT, Claudi, Groq, and etc.
- support prompt/response caching
- support rate-limit control and automatic backoff
- support usage tracking with `lf.track_usages` context manager

- Flexible prompt formatting with `lf.Template`.
- jinja2 syntax
- support drop in of multi-modality objects: image, video, PDF, and etc.
- support extension through both composition and inheritance.

- Batch processing with `lf.concurrent_map`.
- support both order and non-ordered output.
- optional progress reporting support for console/Jupyter Notebook

- Toolkit for code generation through `lf.coding`
- sandbox for code execution via `lf.coding.run`
- `lf.PythonCode` for structured code generation

- FunEval: Langfun's Evaluation framework (`lf.eval`)
- supports dimension combination with PyGlove's `pg.oneof`
- supports HTML summary for both metrics and individual cases.
- model-aware parallel execution across multiple subsets.

0.0.1

Initial release.

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