Commit graph

8 commits

Author SHA1 Message Date
Vineet Puranik
067c9bbc96
chore(rust): migrate the litellm-rust workspace (core, ai-gateway, python-bridge) from Rust edition 2021 to edition 2024 (#33940)
* chore(deps): update cargo.lock file after cargo update

* chore(rust): migrate workspace crates to edition 2024

* chore(rust): migrate workspace crates to edition 2024 + fix clippy warnings after 2024 update

* chore(rust): add rust version to cargo workspace file

* chore(rust): fix clippy collapsible if warning
2026-07-20 08:52:06 -07:00
yuneng-jiang
f3d20153b3
build(rust): raise pyo3 to 0.29 so the native bridge compiles on Python 3.14 (#33798)
pyo3 0.23.5 hard-caps the interpreter at Python 3.13, so building the
native bridge against a 3.14 interpreter aborts inside pyo3-ffi's build
script before anything links. This raises pyo3 and pyo3-async-runtimes
to 0.29 (currently the newest line, and the range starting at 0.26 that
supports 3.14) and migrates the three call sites whose APIs were renamed
across that range: Python::with_gil is now Python::attach and
Python::allow_threads is now Python::detach. On a GIL-enabled interpreter
those are pure renames with identical semantics, so behavior on 3.10
through 3.13 is unchanged

Verified by compiling the native module for cp313 and cp314 and driving
it directly on both interpreters: gil_stats reports exactly one GIL
release per sync OCR call and the async path completes, matching the
0.23.5 baseline. cargo fmt, clippy, and the workspace tests pass on both
3.13 and 3.14 with the lockfile locked, and the lock churn is confined to
the pyo3 crates

Part of #26343; addresses the pyo3 build failure reported in #33116
2026-07-18 00:40:15 +00:00
ishaan-berri
62f93a3343
feat: add Rust OCR providers (#31272)
* feat: port OCR providers to Rust gateway

* chore(deps): update langgraph checkpoint lock

* ci: scope ruff format check to changed files

* ci: fix OCR lint and patch coverage

* fix(ocr): block mapped IPv6 fetch targets

* test(ocr): include rust bridge coverage in OCR shard

* ci: rerun responses shard
2026-06-25 15:12:30 -07:00
ishaan-berri
4efce809d0
feat(proxy): add POST /v1/callbacks/logs to replay logging payloads through callbacks (#31134)
* feat(proxy): add logging_endpoints package init

* feat(proxy): add POST /v1/callbacks/logs to replay logging payloads through the success/failure callback fan-out

* feat(proxy): register callback_logs_router

* test(proxy): add logging_endpoints test package init

* test(proxy): cover /v1/callbacks/logs replay, admin guard, and partial-failure handling

* refactor(proxy): move callback-logs request/response models to litellm/types/proxy

* refactor(proxy): wrap callback-logs replay in CallbackLogsReplayer class with payload logging

* test(proxy): update callback-logs tests for class-based replayer and separated types

* fix(proxy): cover /v1/callbacks/ in backend component allowlist

The new /v1/callbacks/logs route was dropped by both component
allowlists, failing test_gateway_plus_backend_covers_full_app. It's an
admin-only spend-logging route, so it belongs on the backend (control
plane) alongside the existing /callbacks family.

* refactor(proxy): use builtin dict/list generics in callback-logs endpoint

Switch Dict/List from typing to builtin dict/list to satisfy the ruff
strict-rule budget (UP006).

* refactor(proxy): use builtin dict/list generics in callback-logs types

UP006: builtin generics over typing.Dict/List.

* chore(ui): regenerate schema.d.ts for /v1/callbacks/logs

Run npm run gen:api to add the CallbackLogRecord/CallbackLogsRequest/
CallbackLogsResponse types and the /v1/callbacks/logs path, keeping the
dashboard types in sync with the proxy OpenAPI spec.

* fix(proxy): force stream=False when replaying callback logs

A replayed StandardLoggingPayload is a terminal, fully-aggregated event —
the producer (e.g. the rust realtime gateway) already collected the whole
session before POSTing. Marking the rebuilt Logging object as streaming made
async_success_handler wait for a complete_streaming_response that never
arrives, so the spend log was never written. Realtime sessions now land in
LiteLLM_SpendLogs.

* feat(litellm-rust): CustomLogger callback layer posting to /v1/callbacks/logs

integrations/ mirrors litellm/integrations/: a sync, typed CustomLogger trait
(base contract), a typed StandardLoggingPayload, and LiteLLMPythonProxyAPILogger
— the first concrete logger, owning a bounded channel + background worker that
batches and POSTs to the Python proxy's /v1/callbacks/logs.

* feat(litellm-rust): RealTimeStreaming per-session log collector

1:1 with Python's RealTimeStreaming: observe() accumulates O(1) usage/model/id
per event (never buffers frames); log_messages() builds one StandardLoggingPayload
on session close and fans out to the CustomLogger callbacks. request_id == the
OpenAI realtime session id (sess_…), with the gateway id as fallback.

* feat(litellm-rust): wire realtime logging into the splice (lock-free observe)

The collector is owned on the splice task and observed via a synchronous &mut
callback threaded through providers::realtime::realtime() — no Arc/Mutex/atomic
on the per-frame hot path. On session close the bridge flushes one payload.
AppState carries the registered loggers; main spawns the proxy logger.

* docs(litellm-rust): ai-gateway realtime logging architecture

* docs(litellm-rust): document request-log egress to the LiteLLM control plane

Add a 'Request logging' guide to the ai-gateway README: how to point the gateway
at a LiteLLM proxy via LITELLM_PROXY_BASE_URL (+ LITELLM_MASTER_KEY for the
admin-only /v1/callbacks/logs POST), and the non-blocking / one-payload-per-session
behavior.

* feat(litellm-rust): make log-egress tunables env-overridable

Channel capacity, batch size, and flush interval now read from
LITELLM_LOG_CHANNEL_CAPACITY / LITELLM_LOG_BATCH_SIZE / LITELLM_LOG_FLUSH_INTERVAL_MS,
falling back to the DEFAULT_* consts on missing/invalid/non-positive values.
Grouped behind an EgressTunables::from_env() read once at logger construction.

* docs(litellm-rust): document log-egress tuning env vars

* docs(litellm-rust): require constants in a crate-level constants.rs

Mirror of Python's litellm/constants.py rule — magic numbers and fixed strings
go in src/constants.rs, not inline in feature modules; env-overridable tunables
keep their DEFAULT_* value there.

* refactor(litellm-rust): move ai-gateway constants into constants.rs

Per the new rule: the log-egress defaults (proxy base, ingest path, channel
capacity, batch size, flush interval) and the realtime provider default move to
crates/ai-gateway/src/constants.rs; modules import from it.

* ci: run logging_endpoints tests in the proxy-infra coverage shard

tests/test_litellm/proxy/logging_endpoints wasn't in any coverage-uploading
job, so callback_logs_endpoints.py showed only import-level coverage (~35%) on
codecov/patch despite being ~98% covered locally. Add it to proxy-infra's
test-path so the test is exercised under --cov.

* fix(litellm-rust): hash the master key before logging — never send the raw credential

Greptile/Veria P1: user_api_key_hash was the plaintext LITELLM_MASTER_KEY, which
fans out to spend logs and every callback (Langfuse/Datadog) and could be
recovered from logs. SHA-256 it (auth::hash_token, matching the proxy's
hash_token); the field is named *_hash and the proxy stores it verbatim when it
isn't sk-prefixed, so the DB value is identical with zero plaintext exposure.

* fix(litellm-rust): observe realtime logging on upstream events only

Greptile P1: observe ran on the client->upstream arm too, so an authenticated
client could send a fabricated response.done and inflate its own spend log.
session.created/response.done are server->client events; observe the upstream
arm only.

* feat(proxy): bound callback-logs batch + return per-record failures

Greptile P2: cap /v1/callbacks/logs at MAX_CALLBACK_LOG_RECORDS (default 1000,
env-overridable) so one POST can't trigger an unbounded callback/DB fan-out; and
return per-record {index, error} failures so a caller (the rust gateway) can
distinguish a transient callback error from a structurally bad payload.

* chore(ui): regenerate schema.d.ts for CallbackLogFailure / failures field

* fix(constants): make MAX_CALLBACK_LOG_RECORDS a plain constant

It doesn't need to be env-configurable (only the rust egress tunables are). As an
os.getenv var it tripped tests/documentation_tests/test_env_keys.py, which requires
every env key to be documented in the (separate-repo) config_settings.md. Plain
constant → not scanned → code-quality + documentation checks pass.

* docs(litellm-rust): trim ai-gateway ARCHITECTURE.md to one diagram + notes

* docs(litellm-rust): tighten the README request-logging section

* docs(litellm-rust): ARCHITECTURE.md is just the diagram (gateway = inference, spend = callback)

* docs(litellm-rust): drop em-dashes from the request-logging section

---------

Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
2026-06-24 15:25:10 -07:00
ishaan-berri
bd759182ca
refactor(litellm-rust): dissolve providers into core + ai-gateway (strict 3-crate layers) (#31218)
* refactor(litellm-rust): move provider transforms into litellm-core + crate allowlist test

* feat(litellm-rust): ai-gateway absorbs route I/O (io/) with lib+server feature split

* refactor(litellm-rust): point python-bridge at litellm-ai-gateway

* build(litellm-rust): macOS pyo3 dynamic_lookup linker flag for cdylib builds

* docs(litellm-rust): 3-crate map in README/AGENTS + refresh CLAUDE boundary

* refactor(litellm-rust): update workspace members to the three crates
2026-06-24 12:22:43 -07:00
ishaan-berri
1d5ab42e14
feat: add minimal rust router + axum ai-gateway calling router.realtime (2/2) (#31135)
* add CoreError::Routing variant for deployment selection failures

* add minimal Rust Router (simple-shuffle) mirroring router.py spec

* add litellm-router crate manifest

* add ai-gateway POST /v1/realtime handler calling router.realtime

* add ai-gateway health routes

* wire ai-gateway routes into the axum app

* add ai-gateway AppState holding the shared router

* add ai-gateway axum server entrypoint

* add litellm-ai-gateway binary crate manifest

* docs: add ai-gateway folder-architecture AGENTS.md

* register router + ai-gateway crates and axum/rand deps in workspace

* update Cargo.lock for router + ai-gateway crates

* split router: extract model_list types into deployment module

* split router: extract routing policy into strategy module

* split router: move Router orchestration into router module

* router lib: wire submodules and re-export public API

* add read_model_list helper reusing ProxyConfig env/secret resolution

* add GIL-activity tracker (records acquisitions, 30s window)

* add GET /health/gil endpoint for polling GIL activity

* add pyo3 load_router_from_config bridge (feature-gated, load-time only)

* register /health/gil route in ai-gateway

* wire build_router: load from python config when feature enabled

* add optional pyo3 dep + python-config feature to ai-gateway

* update Cargo.lock for optional pyo3 dependency

* fix: satisfy strict ruff budget (FA100) in read_model_list

* test: cover read_model_list env resolution + empty config

* ai-gateway: bind localhost by default, warn on bad PORT/missing keys, wire gateway key

* ai-gateway: add gateway_key to AppState for realtime auth

* ai-gateway: require bearer auth + map unknown model to 404 on /v1/realtime

* ai-gateway: move python interop into python/ with load-time-only AGENTS.md

* ai-gateway: document auth, gil, and python folder in AGENTS.md

* core: add router module (model_list types + simple-shuffle selection)

* ai-gateway: dispatch realtime via core router + providers (drop router crate dep)

* update Cargo.lock: fold router into core

* workspace: drop crates/router member and litellm-router dep

* read_model_list: reuse ProxyConfig.get_config (includes + os.environ + DB) instead of thin yaml read

* ai-gateway: constant-time bearer compare + 500 (not 503) for unconfigured key

* ai-gateway: trim stored gateway key to match trimmed bearer token

* ai-gateway: add subtle dep for constant-time comparison

* workspace: add subtle dependency

* update Cargo.lock for subtle

* core router: make strategy a folder (one module per strategy, simple_shuffle)

* providers: make realtime() a streaming splice (client stream <-> OpenAI) instead of collect

* providers: add futures-channel dev-dep for the streaming live test

* ai-gateway: make /v1/realtime a WebSocket (auth before upgrade, splice typed events)

* ai-gateway: dispatch realtime as a stream splice

* ai-gateway: route /v1/realtime via GET (WebSocket), drop POST

* ai-gateway: enable axum ws feature + futures-util

* update Cargo.lock for ws feature + futures-channel

* core router: add has_deployment() for pre-flight model checks

* ai-gateway: extract auth into auth/ module (single master key, LITELLM_MASTER_KEY)

* ai-gateway routes: adopt router()-per-module template + merge in app()

* ai-gateway: document auth/ + routes template in AGENTS.md

* ai-gateway: realtime route as thin handler + service + transport

* ai-gateway: auth as a RequireMasterKey extractor (idiomatic axum FromRequestParts)

* ai-gateway: docs for auth extractor + simplified route template

* ai-gateway: collapse realtime route to mod.rs + service.rs; docs for extractor/template

* providers realtime: enforce idle timeout around the splice (reap stalled sessions)

* ai-gateway: rename realtime service timeout param to idle_timeout

---------

Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
2026-06-23 19:16:34 -07:00
ishaan-berri
18406c2bad
feat: add openai realtime translation layer to litellm-rust (1/2) (#31129)
* add RealtimeTransformResult type for realtime transforms

* add RealtimeProviderConfig pure trait in litellm-core

* add core realtime module

* register realtime module in litellm-core lib

* add OpenAI realtime transform + complete_url parity in providers

* add openai realtime module

* add openai provider module

* register openai provider module in providers lib

* add realtime() fn that invokes OpenAI GA realtime API end to end

* register realtime route module in providers lib

* wire tokio/tokio-tungstenite/futures-util into providers crate

* add tokio, tokio-tungstenite, futures-util to rust workspace deps

* update Cargo.lock for realtime websocket deps

* docs: add litellm-rust provider/route contributor guide

* add typed RealtimeEvent; make RealtimeTransformResult hold typed events

* type RealtimeProviderConfig trait on RealtimeEvent instead of raw strings

* type OpenAI realtime passthrough transforms on RealtimeEvent

* type realtime() fn on RealtimeEvent end to end (parse/serialize at host edge)

* docs: add typed-contracts core rule to core CLAUDE.md

* harden complete_url: default bare host / unknown scheme to wss://

---------

Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
2026-06-23 15:48:51 -07:00
ishaan-berri
0a17c7c39f
feat: add LiteLLM Rust workspace with Mistral OCR bridge (#31033)
* docs(readme): add Deploy on AWS/GCP with Terraform section

Adds a quickstart for the two published Terraform modules on the public
registry (BerriAI/litellm/aws and BerriAI/litellm/google). Copy-paste
main.tf for each cloud, the one-time GCP Artifact Registry remote-repo
command, and pointers to the registry pages for the full input surface.

Sits inside the Get Started section, between the gateway/SDK table and
Run in Developer Mode -- where someone scanning the README for "how do I
deploy this" will land.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* docs(readme): add 1-click deploy buttons for AWS + GCP

GCP gets the real 1-click: Open in Cloud Shell badge that clones the repo
and walks through `terraform apply` via the existing DeployStack
tutorial (already shipped at terraform/litellm/gcp/examples/default/
TUTORIAL.md). User just picks a project.

AWS gets a soft 1-click: a Launch in AWS CloudShell badge that opens an
in-browser, already-authenticated shell. User runs four commands
(clone + cd + cp tfvars + terraform apply) once inside. There's no
native AWS deeplink that pre-clones a repo + runs a tutorial -- CFN
"Launch Stack" + CodeBuild would be needed for that, and that's a
separate piece of work.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* docs(readme): move AWS + GCP deploy buttons next to Render button

* docs(readme): unify deploy button sizes and badge styles

* docs(readme): bump deploy button height to 48 to match Render/Railway

* docs(readme): bump AWS/GCP badge height to compensate for SVG padding

* docs(readme): bump AWS/GCP badge height to 72

* docs(readme): bump AWS/GCP badge height to 84

* fix(readme): make deploy buttons same height (48px)

https://claude.ai/code/session_01MxQRMHSDXbqJh74rF86UBc

* docs(readme): flag GCP project ID substitution in image_registry

* docs(readme): equalize deploy button heights and fix Cloud Shell button font

GitHub rewrites an image's height attribute to "height: auto; max-height: Npx", which only caps and never stretches, so each image renders at its intrinsic height. The AWS/GCP shields badges are intrinsically 28px while the Render/Railway buttons are 40px, leaving the row uneven regardless of the height="48" we set. Replace the two shields badges with committed 40px PNGs so all four header buttons render at the same 40px.

Also swap the Cloud Shell button from open-btn.svg to open-btn.png. The SVG renders its label as live text with font-family "Roboto, Sans" and no generic fallback; since neither font exists in GitHub's render environment, the text fell back to a serif (Times New Roman). The PNG bakes in the correct typeface.

* docs(readme): collapse Railway deploy anchor to a single line

The Railway button wrapped its img across indented lines, so the anchor contained leading and trailing whitespace. GitHub underlines link content, rendering that whitespace as a small blue underline beside the button. Put the anchor on one line like the other three buttons so there is no inner whitespace to underline.

* Add Claude Fable 5 cost map entries as a data-only hotfix

Backports only the model map changes from #30064 so deployments on
released litellm versions pick up Fable 5 pricing, context window, and
the adaptive thinking flag through the hosted cost map fetch without
upgrading. Includes the supports_sampling_params flag on the 28
Fable 5 / Opus 4.7 / Opus 4.8 entries (ignored by released code, read
by the gating that ships with the next release) and the matching
one-line schema declaration so the map validation test passes.

https://claude.ai/code/session_01MZarYYT3aS7DxaNjoax6Gm

* Add litellm rust workspace with mistral ocr bridge

* address greptile rust ocr feedback

* Simplify rust ocr entrypoint

* rust(core): add Auth/Http/Network error variants

* rust: add reqwest (rustls-tls) workspace dependency

* rust(providers): depend on reqwest

* rust(mistral): add complete_url + resolve_api_key helpers

* rust(providers): end-to-end run_ocr orchestrator with shared client + timeout

* rust(bridge): depend on litellm-core

* rust(bridge): add GIL release accounting

* rust(bridge): end-to-end ocr() + gil_stats(), GIL released for HTTP

* ocr: add minimal Rust bridge (use_litellm_rust + rust_ocr)

* ocr: route mistral to Rust when enabled; keep bare-str file rejection

* litellm: export use_litellm_rust()

* test(ocr): cover Rust OCR routing + toggle

* rust: stop ignoring Cargo.lock

* rust: commit Cargo.lock for reproducible builds

* ci(rust): build with --locked to enforce the lockfile

* Potential fix for pull request finding 'CodeQL / Module-level cyclic import'

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

* Potential fix for pull request finding 'CodeQL / Module-level cyclic import'

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

* ocr: lazily import rust bridge inside ocr() to break the import cycle the CodeQL autofix mangled

* ocr: guard OCRResponse under TYPE_CHECKING so the annotation resolves

* ocr: modernize rust_bridge typing (PEP 604, drop typing.Any/Dict) to satisfy strict-rule gate

* ci: re-trigger checks

* ci: re-trigger checks

* Potential fix for pull request finding 'CodeQL / Cyclic import'

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

* Potential fix for pull request finding 'CodeQL / Cyclic import'

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

* ocr: make rust_bridge a leaf (return raw dict, no litellm import) so the CodeQL autofix stops re-breaking it

* ocr: wrap rust bridge dict into OCRResponse at the call site

* test(ocr): assert rust_ocr returns the raw bridge dict

* test(interactions): add budget_exceeded to expected status enum (Google updated the published spec)

* ocr: resolve mistral key via get_secret_str before the rust path (secret-manager parity)

* test(ocr): assert rust path resolves key via secret manager

* rust(mistral): document that secret-manager resolution happens on the Python side

* fix(ocr): honor timeout, logging, and missing-bridge fallback on Rust OCR path

- Forward the caller's timeout into the Rust bridge so the fixed 600s client
  ceiling no longer overrides shorter deadlines or the library default.
- Run update_from_kwargs and pre_call before invoking the Rust shortcut so
  observability, callbacks, and spend tracking match the Python path.
- Fall back to the Python OCR path when litellm_python_bridge isn't importable
  instead of raising ImportError to callers.
- Truncate upstream Mistral OCR error bodies before they cross the host
  boundary to avoid leaking document or prompt contents in CoreError::Http.

* fix(ocr): log resolved api_base and headers on Rust path

* refactor(ocr): inject the rust bridge via a typed seam, drop the importlib cycle dodge

The rust OCR path was reached through importlib.import_module both for the
bridge module and for probing the native extension, purely to keep CodeQL from
flagging a cyclic import. rust_bridge has no litellm imports, so it is a leaf
and main.py can import it statically without any cycle; the dance is gone

Bridge selection now goes through a typed RustOcr Protocol and a load_rust_ocr()
seam. use_litellm_rust() takes an optional injected bridge, so an embedder (or a
test) can supply an alternative without reaching into sys.modules. The rust-path
body moves into _run_rust_ocr(), which receives its dependencies (the bridge
callable, the logging object, the key resolver) as arguments and is unit-tested
by passing fakes in rather than monkeypatching class methods or module globals

The tests are rewritten around that injection: the bridge is provided via
use_litellm_rust(ocr=...), pre_call is observed through a spy logging object, and
the missing-extension fallback is covered by load_rust_ocr() returning None when
no wheel is built. Types were tightened along the way (a cast for the logging
object, OCRResponse.model_validate for the bridge result) so no basedpyright
per-rule count increases

Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>

* fix(ocr): preserve injected rust bridge across toggle calls

use_litellm_rust() unconditionally assigned the keyword default of None to
_rust_ocr_impl, so any call without ocr= silently dropped a previously
injected bridge. Use a sentinel default so omission preserves the impl
while ocr=None still clears it explicitly.

* ci: run tests/test_litellm/ocr in the misc unit-test group

The OCR test directory was not wired into any CI test group, so its
coverage never uploaded to Codecov and patch coverage failed for new
OCR lines. Add it to the misc group.

* test(ocr): cover compiled-extension load and Python fallback paths

Adds two tests so the Rust bridge module hits 100% and the ocr()
fallback-to-Python branch is exercised:
- load_rust_ocr() returning the compiled extension's ocr callable
- ocr() degrading to the HTTP handler when no bridge is available

* style(ocr): use PEP 604 X | None annotations in rust_bridge

Converts Optional[X]/Union[...] to the X | None form so the new OCR
code stays under the UP045 strict-rule budget gate (lint job). Safe at
runtime — the module already has 'from __future__ import annotations'.

---------

Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>
Co-authored-by: Yassin Kortam <yassin@berri.ai>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Krrish Dholakia <krrish+github@berri.ai>
Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
2026-06-23 13:16:47 -07:00