ppt-common
Shared utilities for slide-deck generation packages — published so
downstream packages (e.g. ppt-quality-review) and external projects can
depend on one copy.
Zero core dependencies; optional extras for the LLM client and agents.
Install
pip install ppt-common # text utilities only
pip install "ppt-common[llm]" # + OpenAI-compatible LLM client
pip install "ppt-common[agents]" # + pydantic-ai agent helpers
Modules
| Module | Contents |
|---|---|
ppt_common.text |
CJK detection (is_cjk, is_cjk_char, ...), sentence splitting, PDF line merging, page cleaning, section-header detection |
ppt_common.text_metrics |
CJK-aware rendered-width estimation, fit_font_size, greedy line wrapping |
ppt_common.pdf_structure / ppt_common.content_splitter |
PDF structure helpers |
ppt_common.llm ([llm] extra) |
LLMClient for any OpenAI-compatible endpoint, parse_llm_json |
ppt_common.agents ([agents] extra) |
pydantic-ai agent utilities |
LLM client configuration
LLMClient works with any OpenAI-compatible endpoint. Configuration falls
back through environment variables:
| Parameter | Explicit arg | Env vars (first match wins) |
|---|---|---|
| API key | api_key= |
DASHSCOPE_API_KEY, LLM_API_KEY |
| Base URL | base_url= |
DASHSCOPE_BASE_URL, LLM_BASE_URL |
| Model | model= |
DASHSCOPE_MODEL, LLM_MODEL |
from ppt_common.llm import LLMClient
client = LLMClient() # reads env vars
reply = client.chat("Summarize: ...") # or pass api_key=/base_url=/model=
Development
Tests live in tests/ — run with pytest tests/. text.py and
text_metrics.py carry a mutmut mutation-audit pilot (100% kill rate).
1 maintainer
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