Each route now has litellm/rust_bridge/<route>/{entrypoints,callbacks}.py and a
public dispatch module (litellm/chat_completions/dispatch.py,
litellm/responses/dispatch.py, litellm/messages/dispatch.py) that binds the
public call to the legacy Python signature, builds a frozen request, and asks
the runtime to pick Rust or Python from the catalog. The legacy implementations
stay in litellm/main.py, litellm/responses/main.py and the anthropic messages
handler, and litellm/__init__.py re-exports the dispatch names over them the
same way it already does for ocr
The per-handler shims in rust_bridge/chat_completions/native.py and
rust_bridge/messages/native.py are removed along with their call sites in the
anthropic and bedrock chat handlers and the http handler. The exception
mapping that every callbacks module repeated moves to rust_bridge/failures.py
and the signature binding helpers to rust_bridge/public_call.py
A budget bypass that ships off by default stays open for every deployment
that does not know to look for the flag, so `enforce_fallback_budget` now
defaults to true and `general_settings.enforce_fallback_budget: false` is
the opt-out for anyone who wants the old unguarded behaviour back.
BREAKING CHANGE: a paid fallback target is now refused for callers who are
over their key or user `max_budget`. Deployments relying on fallbacks to
keep serving over-budget callers must set enforce_fallback_budget: false.
Delete litellm/ocr/input.py and the native _ocr_file_document, _ocr_upload_document
and _ocr_mime_type helpers. File documents now project to a typed OcrDocumentInput
and the core lifecycle reads local paths, encodes bytes and asks the host to read
file-like objects through a ReadDocument operation before the provider request
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Move each route's bridge module under litellm/rust_bridge/<route>/ so a folder
means a Rust implementation exists while the catalog row says whether it is
used. OCR now keeps the Python implementation in litellm/ocr/main.py and the
Rust selection in litellm/ocr/rust.py, removing litellm/ocr/legacy.py
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The request path used get_end_user_object, which falls back to a database
lookup on a cache miss. Read the LiteLLM_EndUserTable row auth already cached
instead, with the default budget already attached, and leave misses to the
periodic refresh
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Without a master key the auth layer echoes whatever key the caller presented as the authenticated key, so the passthrough's strip-by-value matched the caller's own Anthropic key and dropped it: a bring-your-own-key request that returned 200 on main answered 401 telling the caller to send the key they had just sent. Only the auth module's own no-auth dev-mode definition, shared through is_no_auth_dev_mode, decides that nothing was authenticated, and only when no custom auth is installed; JWTs, OAuth2 tokens, and custom-auth credentials are still stripped there. The sk- prefix heuristic goes with it.
The Vertex credential-less test now sets a master key, since a virtual key can only authenticate under one: the auth layer returns before any key lookup when the master key is unset.
The metric attribute filter now removes every attribute whose value is
None, and the content and inference-details events pass their attributes
through drop_none before emitting, so a call with no provider label or no
model name never hands the OTLP exporter a NoneType attribute. This closes
the gen_ai.request.model report on #36759 the same way the gen_ai.system
one was closed, and the regression tests cover both keys.
A stream counted before its usage is known increments TPM by zero, so the
worker that served it never refreshed its local TPM value from Redis and
the first byte headers reported the token count another worker had already
consumed. Both pipeline operations now always run, matching the pre-change
callback, so the returned values refresh both worker local keys
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Parse the switch with pydantic TypeAdapter(bool) so 1/true/yes/on and 0/false/no/off all work, and treat an unparseable value as unset instead of off. PYTHON_ONLY and RUST_REQUIRED still ignore both switches
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
