`.gitattributes` declares `*.py text eol=lf` and `*.sh text eol=lf`, but
74 files (73 .py, 1 .sh) are stored in the index with CRLF line endings,
violating that contract. Every macOS/Linux clone reports these files as
"modified" on fresh checkout because git's diff engine sees the stored
bytes don't match the attribute contract, even though the working tree
and index match byte-for-byte.
Running `git add --renormalize .` rewrites each affected blob so the
stored form matches the attribute declaration. No semantic changes —
every affected file's diff is "N insertions, N deletions" with inserts
and deletes being the same lines modulo line endings.
Follow-up commit adds `.git-blame-ignore-revs` so `git blame` / GitHub
blame skip this mechanical commit.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Fix workflow validation failures by wiring detect-version outputs into all
release publish jobs, renaming the GitHub Packages skip variable to a
valid Actions variable name, and adjusting the macOS PATH export for
actionlint.
Also make min_tokens_to_compress use token counting instead of whitespace
splits so compact JSON tool outputs still compress after merging the
latest main branch changes, and add a regression test for that path.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Three new integration paths — no proxy needed:
1. headroom.compress(messages, model) → CompressResult
One function, auto-detects tokenizer per model, works with any client.
2. headroom.integrations.asgi.CompressionMiddleware
Drop-in ASGI middleware for LiteLLM proxy, FastAPI, or any ASGI app.
3. headroom.integrations.litellm_callback.HeadroomCallback
LiteLLM callback: litellm.callbacks = [HeadroomCallback()]
Fix: TransformPipeline._get_tokenizer() no longer requires a Provider.
Falls back to tokenizer registry which auto-detects per model:
- OpenAI → tiktoken (exact)
- Anthropic → calibrated estimation (3.5 chars/token)
- Open models → HuggingFace (if installed)
15 tests covering compress(), ASGI middleware, LiteLLM callback.
