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Merged
merged 3 commits into from
Jun 18, 2025
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Merged

Use gpt-4o's tokenizer #258

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0a1e6e9
Update output_formatters.py to use gpt-4o's tokenizer
AmgadHasan Apr 11, 2025
f318080
black fmt
filipchristiansen Jun 18, 2025
1130b55
feat: bump tiktoken to ≥0.7.0 and drop Python 3.7 support
filipchristiansen Jun 18, 2025
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -28,7 +28,7 @@ You can also replace `hub` with `ingest` in any GitHub URL to access the corresp

## 📚 Requirements

- Python 3.7+
- Python 3.8+
- For private repositories: A GitHub Personal Access Token (PAT). You can generate one at [https://github.com/settings/personal-access-tokens](https://github.com/settings/personal-access-tokens) (Profile → Settings → Developer Settings → Personal Access Tokens → Fine-grained Tokens)

### 📦 Installation
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3 changes: 1 addition & 2 deletions pyproject.toml
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Expand Up @@ -11,7 +11,7 @@ dependencies = [
"python-dotenv",
"slowapi",
"starlette>=0.40.0", # Vulnerable to https://osv.dev/vulnerability/GHSA-f96h-pmfr-66vw
"tiktoken",
"tiktoken>=0.7.0", # Support for o200k_base encoding
"tomli",
"typing_extensions; python_version < '3.10'",
"uvicorn>=0.11.7", # Vulnerable to https://osv.dev/vulnerability/PYSEC-2020-150
Expand All @@ -23,7 +23,6 @@ classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
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2 changes: 1 addition & 1 deletion requirements.txt
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Expand Up @@ -4,6 +4,6 @@ pydantic
python-dotenv
slowapi
starlette>=0.40.0 # Vulnerable to https://osv.dev/vulnerability/GHSA-f96h-pmfr-66vw
tiktoken
tiktoken>=0.7.0 # Support for o200k_base encoding
tomli
uvicorn>=0.11.7 # Vulnerable to https://osv.dev/vulnerability/PYSEC-2020-150
2 changes: 1 addition & 1 deletion src/gitingest/output_formatters.py
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Expand Up @@ -171,7 +171,7 @@ def _format_token_count(text: str) -> Optional[str]:
The formatted number of tokens as a string (e.g., '1.2k', '1.2M'), or `None` if an error occurs.
"""
try:
encoding = tiktoken.get_encoding("cl100k_base")
encoding = tiktoken.get_encoding("o200k_base") # gpt-4o, gpt-4o-mini
total_tokens = len(encoding.encode(text, disallowed_special=()))
except (ValueError, UnicodeEncodeError) as exc:
print(exc)
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