Commit graph

44 commits

Author SHA1 Message Date
quietjules
cee72ffdd6
fix(proxy): count native Responses WebSocket turn tokens toward key and tag TPM limits (#49257)
* fix(proxy): count Responses WebSocket turn tokens toward key and tag TPM limits

A native Responses WebSocket turn logs its raw events instead of a usage-carrying
response object, so the v3 rate limiter read no usage and never charged the key
or tag token window. Read the turn's usage from its events the way the cost
calculator does, and charge the TPM-limited tags the socket was opened under.

* fix(proxy): refuse socket turns past TPM and count managed, failed, and realtime usage

A later response.create turn on an open Responses WebSocket now gets a read-only
check of every TPM window it counts toward (key, team, user, org, end user, team
member, model-scoped limits and the socket's tags). A turn with no tokens left gets
the 429 rate_limit_exceeded frame and the socket stays open. The check never
reserves or increments a counter and leaves RPM, budget, PTU and project windows
to their own paths. It runs on native and managed sockets.

Managed turns carry the socket's call id in their metadata, so they charge the
socket's TPM-limited tags. A failed native turn charges the partial usage its
failure row already carries. A socket refused at open by a rate limit gets the
same refusal frame and closes 1008, logged once without a traceback.
/v1/realtime sessions now count toward TPM through the realtime usage combiner,
and the v1 limiter reads socket usage through the same helper

* fix(proxy): count failed socket turns, keep socket usage off team PTU, check agent windows per turn

A native socket turn that ends in response.failed now counts the usage that event reports toward spend and TPM, as the HTTP stream path does. Native socket and realtime usage no longer charge the team PTU counter, matching the merge base. The per-turn TPM check now also reads the agent and agent session windows the socket opened with.

* fix(proxy): start missing legacy user, team, and end-user TPM buckets at zero

* fix(proxy): stop charging a realtime session's whole usage into its close minute

Realtime and live sessions log once at close, so counting them put a long session's tokens into one TPM window and refused calls that stayed under the limit. They count no TPM again, as before this branch. Also covers the legacy v1 count-once fix with an HTTP regression case.

* test(proxy): check each per-turn TPM window on its own

* fix(proxy): send a fail-closed per-turn socket refusal with its 503 status

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-31 02:53:27 -07:00
Mateo Wang
61efbd071e
fix(aiohttp): bill the usage a stream sent before its connection dropped, and deflake the CyberArk override test (#47838)
* fix(aiohttp): hand out bytes buffered before a dropped connection so a cut stream bills its partial usage

test(integration): stop the CyberArk override test failing when a short config value lands inside ciphertext

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(aiohttp): cover bytes already read before a dropped connection

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-30 21:18:02 -07:00
Mateo Wang
4c8b90945f
fix(realtime)!: send the Gemini Live setup at the first content so session.update settings apply (#39864)
* fix(realtime): send Gemini Live setup on the client's first message so session.update modalities apply

Gemini and Vertex AI Live accept exactly one setup per session, and the proxy sent its
default audio setup at connect, so a client's session.update (GA output_modalities or
beta modalities) was dropped and every answer came back as audio. The setup now goes
out on the client's first message: a session.update becomes that setup, anything else
gets the model default. Bedrock Nova Sonic keeps its connect-time setup through a
provider hook. Text setups label deltas response.output_text.delta, and downgrading
TEXT to AUDIO on an audio-only model logs a warning

* fix(realtime): keep one Gemini Live response modality and skip the "inf" token limit in the setup

* fix(realtime): merge every session.update sent before the first content frame into the Gemini Live setup

Gemini and Vertex Live accept one setup per connection, so the bridge used to
turn only the first session.update into that setup and drop the rest without
telling the client. Now every session.update that arrives before the first
content frame is held, deep-merged (later values win per field), acknowledged
with a session.updated built from the setup it would produce, and the merged
session becomes the one setup sent with the first conversation item, audio
frame, or tool result. The session events also surface the systemInstruction
text as instructions, which the old string check never matched because the
setup carries it as a Content object.

* fix(realtime): cap the session.update merge depth so the recursive detector accepts it

_merge_session_fields recurses once per nested mapping level, so CI's
recursive_detector flagged it. Bound the descent at eight levels (the OpenAI
session object nests four deep at most), replace anything deeper wholesale
with the later session.update's value, and list the helper with the other
depth-capped functions the detector allows.

* fix(gemini-live): accept a string output modality and drop values Live cannot produce

A bare string output_modalities is read as a one-element list and modality values Gemini Live cannot produce are dropped with a warning instead of reaching the backend, so a malformed session.update no longer costs the session. Transcription guardrails now fold their VAD disable into the first held session.update only, so the merged setup carries it exactly once.

* fix(gemini realtime): answer an error for session updates Gemini Live cannot apply

An output modality the model cannot produce, or a session.update sent after the
first content, now gets an invalid_request_error event instead of a silent swap
or drop, unless drop_params is set. The synthetic session.created reports the
model's default modality, setupComplete no longer adds an extra session.updated,
and merging nested session updates is linear in their size

* fix(gemini realtime): send the setup before guardrail blocks and idle deadlines, mark push-to-talk turns

A pre_call guardrail blocking the first typed message now goes out after the
setup, so Gemini and Vertex no longer close the session with 1007.

Push-to-talk sessions (turn_detection null or create_response false) wrap each
audio turn in empty activityStart and activityEnd messages, which Gemini needs
when automatic activity detection is off.

A session with no content after 60 seconds sends its setup, since Vertex
refuses a setup 300 seconds after connect. Held session.update frames past
10 MB answer session_update_too_large, and deferred mode now errors on a
second session.update unless drop_params is set.

* fix(realtime): ack unchanged Gemini Live session.update resends and honor null turn_detection

An update that leaves the applied setup unchanged now gets session.updated
instead of session_update_not_applied, so clients that resend their session
with the first response keep working. Deferred setup mode merges held updates
like the default mode, turn_detection null turns Gemini's activity detection
off, drop_params drops a voice outside the documented Live voices, and the
lazy setup deadline moves to 240 seconds

* fix(realtime): keep Vertex activity detection off for null turn_detection and set up deferred sessions before text content

* fix(realtime): refuse unscreenable Gemini audio, send held setup after buffered audio, reject unknown Vertex voices

A realtime_input_transcription guardrail cannot screen Gemini Live audio before the answer starts, so audio input under one is refused with an audio_input_not_screenable error instead of reaching the model. In deferred setup mode a session.update that follows buffered audio is sent as setup at once. Only conversation content triggers the setup, so control events no longer lock in a default one. Vertex rejects an undocumented voice on the session.update, or drops it with drop_params, while Google AI Studio forwards any name.

* fix(realtime): hold first content so a following session.update joins the Gemini setup

Convert flat realtime tool schemas through Gemini's schema builder, and collapse a text and audio pair to what the model can produce on text-only models too

* fix(realtime): check AI Studio Live voices like Vertex

* fix(realtime): forward any voice to AI Studio Live models that accept it

* fix(realtime): map OpenAI TTS voices before the Live voice check, keep outage spend rows, share the playground session config

The Live voice gate now judges the Gemini voice an OpenAI TTS name maps to, so fable and onyx reach Vertex as Umbriel and Orus again. An upstream close before the held setup was sent is logged as a session, not a refusal. The playground sends one server_vad session config for typed and voice turns, and the e2e, integration, and dashboard tests follow lazy setup.

* fix(realtime): take the lazy setup clock as a dependency so its tests run on a stepped clock

The deadline and grace tests waited on real 50 ms timers, and the merge cost
check compared wall-clock runs. The session now reads an injected clock,
time.monotonic by default, the two tests step it, and the merge cost check
moves to the CodSpeed benchmarks. The Nova Sonic style handler test passes
the backend through wrap_backend, which main added after the test was written
2026-10-30 01:31:39 -07:00
paveln83
4ce724e3df
fix(caching): key cached async clients by a per-loop token instead of id(loop) (#48877)
* fix(caching): key cached async clients by a per-loop token instead of id(loop)

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(caching): drop deferred closes queued on a collected event loop

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(caching): pin that a close queued on a live loop waits for that loop

* test(caching): run loop-reuse tests until a loop address repeats

The collected-loop tests ran a fixed 50 loops and passed with the fix reverted whenever no loop reused an earlier address. They now stop at the first reuse and skip if none happens, through a shared helper.

* test(caching): cover the cache key fallback for loops without weak references

Also corrects the evicted client closer docstring: a dropped bucket's clients are left to the garbage collector.

* fix(http): free short-lived event loops whose handler finalizer close finished as the loop stopped

* fix(caching): share sync clients across event loops and catch a failed finalizer close

* fix(agentops): stop closing the shared sync http client after the auth call

---------

Co-authored-by: mateo <mateo@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-29 13:14:48 -07:00
devin-ai-integration[bot]
c213234783
feat(vertex_ai)!: use HTTP/2 httpx client for search_api vector store (#40631)
* feat(vertex_ai): use HTTP/2 httpx client for search_api vector store

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(httpx): exercise configured request path

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(httpx): verify HTTP/2 request negotiation

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(httpx): preserve HTTP/2 for sync proxy mounts

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* build(deps): add h2 to proxy extra so vertex search HTTP/2 is on by default

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(http_handler): isolate ssl context for http2 clients

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(http): add an HTTP/2 opt-out and harden the Vertex AI Search HTTP/2 client

litellm.http2 is now unset by default, so http2: false or LITELLM_HTTP2=False
turns the provider's HTTP/2 default off. A caller's own SSLContext keeps the
search on HTTP/1.1, the HTTP/2 async client honors DISABLE_AIOHTTP_TRUST_ENV,
forced IPv4 transports get the CA bundle and client cert, and vector store
search retries once when the server drops the connection with a GOAWAY.

* fix(http): retry vector store search only on HTTP/2 GOAWAY and keep aiohttp pool and proxy behavior

Scope the one retry to a connection Google closes with an HTTP/2 GOAWAY and
log it. When HTTP/2 replaces the aiohttp transport, keep aiohttp's idle
keepalive and connection cap, and only then skip env proxies under
DISABLE_AIOHTTP_TRUST_ENV, so the global LITELLM_HTTP2 toggle keeps HTTPS_PROXY

* test(http): cover the vector store search GOAWAY retry in unit tests and drop duplicate SSL cache comments

* fix(http): open another HTTP/2 connection once 100 streams are in use

httpcore keeps every request to an origin on one HTTP/2 connection and caps it at 100 concurrent streams, so request 101 and later waited with no timeout. The handlers now spread requests over extra connections, opening one only when every open connection has 100 streams in flight. The force_ipv4 wire tests now cover ssl_verify=False and the client certificate.

* fix(vertex_ai): reuse one Vertex search OAuth token across searches

Every vector store search built a new search config, so the token cache it carries was thrown away and each search fetched a new Google OAuth token with a blocking call on the event loop. Under a burst of searches that blocking fetch held back every HTTP/2 response. The provider config is now shared, so searches with the same credentials reuse one token until it expires.

* fix(http): keep the HTTP/2 connection spread within the connection cap

* fix(http): keep sync vertex search on HTTP/1.1, since httpcore's sync HTTP/2 is not thread-safe

httpcore 1.0.9 hands two threads the same HTTP/2 stream id, so threaded sync
searches failed with protocol errors. Only the async client, which the proxy
uses, now defaults to HTTP/2, and the sync connection spread is removed.

* fix(http): split the connection cap across HTTP/2 lanes

Each lane had its own pool with the full connection cap, so an origin answering
HTTP/1.1, or several origins on one client, could exceed max_connections once
more than 100 requests were in flight. Lanes now open only while lanes times
100 streams stay under the cap, and each lane pool gets at most 100 of it.

* test(http2): scope wire-test peer logs to each fixture instance

* fix(http2): keep TE, force_ipv4 trust, evicted-client and opt-out behavior on the HTTP/2 path

- drop TE values other than trailers on https requests through the HTTP/2 spread, since h2 refuses them
- force_ipv4 transports keep httpx's default trust store (SSL_CERT_DIR) unless SSL is configured
- the evicted client closer asks the HTTP/2 spread whether a request is in flight
- LITELLM_HTTP2 set to 0, no or off, and a quoted "false" http2 setting, opt out of HTTP/2
- the wire test's held-search barrier waits on an event instead of polling

* fix(http2): count proxy-mounted transports when checking an evicted client for in-flight requests

* test(http2): move the HTTP/2 eviction cases that open a loopback server into the integration wire tests

* fix(http2): read an unquoted http2: 0 as off and free the stream slot of a response dropped without closing

* fix(http2): free the stream slot of a partly read response dropped without closing

* test(http2): check that the evicted client and its stream close after a partly read response is dropped

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mrinal <mrinal@berri.ai>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-29 10:31:18 -07:00
Dan Lemon
cd58014315
feat(soniox): add realtime speech-to-text on /v1/realtime (#44822)
* feat(soniox): add realtime speech-to-text on /v1/realtime

Maps OpenAI realtime transcription sessions onto the Soniox websocket API
(stt-rt-v5): server VAD uses Soniox endpoint detection, commit sends a
manual finalize, deployment litellm_params pass Soniox options through,
translation sessions transcribe the translated tokens, idle streams get
keepalives, and cost is tracked from processed audio duration.

* fix(soniox): bill realtime usage from integer milliseconds

* fix(soniox): bound session-start queue and cover realtime backend edge paths

* fix(soniox): bill realtime stream time, start sessions on connect and surface client protocol errors

Soniox charges for the whole open stream, so session close now bills the connection's open time. The backend announces the session on connect, which flushes audio sent before any session.update, and a single upstream pump makes recv safe to cancel. Invalid client frames now get an OpenAI error event instead of a silent disconnect

* fix(soniox): skip deferred setup so client frames reach Soniox in order

Drops the connect marker frame, which counted as an upstream frame and hid refusals, and could start a buffered stream at the default rate before the client's session.update. Soniox now opts out of deferred setup, the handler announces a synthetic session.created whenever no setup went upstream, a session.update that would change a started stream gets an error event, and stream time is billed only once a stream started

* fix(soniox): judge a follow-up session.update only on the settings it sends

A partial follow-up session.update was rebuilt with defaults for the settings it left out, so restating part of a 16 kHz or VAD-off stream was rejected as a change

* fix(soniox): treat an omitted rate in a follow-up session.update as unchanged

* chore(soniox): drop comments that restate the code

* fix(soniox): return speaker labels, log refused sessions as failures, and probe realtime health

Deltas carry speaker and language when diarization or language identification is on, and the
completed event lists segments per speaker and language. A session Soniox refuses before any
audio is processed is logged as a failure with no spend. Billing starts at the start request.
Deferred-setup providers (Meta, Vertex Chirp) send the error event and still end the session.
Soniox realtime models get a websocket /health probe and cost rows for the stt-rt-v5 aliases.

* fix(soniox): bill failed streams, probe health with deployment options, and keep token accumulation linear

Only request rejections (400, 401, 402, 403, 429) before any processed audio count as a refused
session, so a 408 or 5xx still bills the open stream. The /health probe starts Soniox with the
deployment's options, sends 100 ms of silence, and passes only on Soniox's finished frame.
A turn's final tokens append in constant time instead of copying the tuple per token.

* fix(soniox): log every Soniox error before any processed audio as a failed session

* fix(soniox): keep untranslated speech, support input_audio_buffer.clear, ignore an empty language

* fix(soniox): reject frames without a type, keep strict language hints, queue finalizes in a deque

* fix(soniox): answer a commit with no speech with an empty completed turn

* fix(soniox): let a server VAD turn answer a commit that is still in flight

* fix(soniox): let a server VAD turn answer only the oldest pending commit

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-29 07:58:38 -07:00
Priyansh Nandwana
67ae3fb527
fix(websearch)!: keep the provider prefix on the agentic follow-up model (#38885)
* fix(websearch): keep the provider prefix on the agentic follow-up model

The agentic follow-up rebuilt its model string with "a slash means it is already
qualified". Handlers are handed the provider-stripped model, and for a provider
that routes through a sub-path the remainder still holds a slash, so
bedrock/mantle/anthropic.claude-sonnet-5 arrived as mantle/anthropic.claude-sonnet-5
and stayed that way. The follow-up acompletion could not resolve a provider from it
and raised "LLM Provider NOT provided".

Prefix unless the model is already qualified with that same provider, in one shared
helper used by both the handler and the websearch patch builder, which carried
copies of the same heuristic. This also fixes openrouter, whose stripped model
keeps a slash for the same reason, and the old startswith test that read openai as
a prefix of openai_like.

Fixes #38829

* test(websearch): cover the agentic follow-up call site

The helper had unit tests but the call site did not, so the two changed lines in
_execute_chat_completion_agentic_plan were uncovered. Drive the real follow-up with
mock_response instead of patching litellm, which keeps the test on the behaviour:
against the old code the sub-path case raises "LLM Provider NOT provided", and the
ordinary-model case passes either way as a guard.

* refactor(websearch): trim the comments on the provider-qualify helper

* refactor(websearch): cut the helper and test docstrings to one line

* fix(websearch): leave a hook-qualified follow-up model on its own provider

A hook that patches in its own model owns that choice, so re-qualifying it sent a
cross-provider follow-up to the original request's provider instead. Only a bare
patched model and the request's provider-stripped model take the prefix now, and
the sibling agentic-loop path resolves the model the same way.

* fix(websearch): fall back to the request model when a patch carries no model

An empty patched model dispatched a provider-only name instead of falling back, and a
provider-stripped sub-path copied into the patch lost its prefix. A patched model now
keeps its own provider only when its leading segment names one.

* fix(websearch): keep the provider prefix on the responses follow-up model too

The responses patch builder still used the old "a slash means already qualified" test, so
a provider-stripped sub-path model reached the follow-up unqualified on that surface. It
now resolves the model the same way the chat completion builder does.

* fix(websearch): read custom_llm_provider without a member call on untyped kwargs

* fix(websearch): type the chat patch builder kwargs instead of working around them

* test(websearch): run the real search path and flatten the qualify helper tests

* fix(websearch): route a hook's model on a JSON-configured provider and keep the request provider on an echoed model

* fix(websearch): leave a follow-up model alone when its prefix already routes to the request provider

* fix(websearch): send the agentic follow-up to the model the caller requested

completion() and responses() record the caller's model before routing strips
it, and the chat and Responses follow-up builders prefer that model. This keeps
bedrock/converse_like/, bedrock/claude_platform/ and openrouter/openrouter/*
deployments on their own route for the follow-up.

* test(websearch): cover the recorded caller model in Headroom's retrieval follow-up

* test(websearch): cover the recorded caller model in Compresr's retrieval follow-up

Also merges the repeated provider-prefix check in core_helpers into one helper
and drops a test docstring

* test(websearch): drive the real search path through a mocked Perplexity HTTP route

* refactor(websearch): read the provider from kwargs inside _caller_model

* test(http-handler): type the agentic follow-up provider tests

* refactor(websearch): record agentic loop params through a Logging method

Moving the recording out of completion() keeps it under basedpyright's
code-flow complexity limit after the merge with main.

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-29 04:47:18 -07:00
AaronHowell
904c092ffe
feat(providers): add BigModel support and model pricing (#48563)
* feat: add BigModel provider with native Chat, Responses, and Messages APIs

Co-authored-by: Bytechoreographer <Bytechoreographer@users.noreply.github.com>

* test(providers): make BigModel unit tests a package

Co-authored-by: Bytechoreographer <Bytechoreographer@users.noreply.github.com>

* docs(providers): clarify BigModel parameter interface

Co-authored-by: Bytechoreographer <Bytechoreographer@users.noreply.github.com>

* fix(bigmodel): keep the Coding Plan base, surface Responses auth errors, and scope routes

Chat Completions keeps a GLM Coding Plan api_base. Responses raises the status from
BigModel's success=false body instead of returning an empty 200, and a JSON body
answering a stream request is replayed as a one-shot stream. Messages streams keep
ping and [DONE] lines. bigmodel leaves openai_compatible_providers so speech, image,
and transcription routes send it no request

* fix(responses): replay a JSON body on a stream request only when it has a Content-Length

A gateway that labels a chunked SSE stream as application/json kept streaming before
the replay, so only a sized body is read in full

* fix(bigmodel): scope the JSON stream replay to BigModel, map its business error codes, and echo requested tools

* fix(bigmodel): forward Codex's include and parallel_tool_calls, keep the OpenAI org header off BigModel, and pass unchanged Messages stream events through

* fix(bigmodel): map disabled thinking to low effort, keep Messages temperature, raise context window and content policy errors, and default parallel_tool_calls to true

* fix(bigmodel): keep the caller's reasoning_effort when Messages rewrites disabled thinking

* fix(bigmodel): keep context-window and content-policy errors on streamed Responses replays

---------

Co-authored-by: Bytechoreographer <Bytechoreographer@users.noreply.github.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-29 00:39:11 -07:00
rj-cairn
d06b889d41
fix(streaming): keep merged think tags balanced and split SSE lines only on CR/LF (#48755)
* fix(vertex_ai): split Gemini SSE lines on CR/LF only so U+2028 in text keeps the stream

The Gemini and Vertex AI streaming path read the SSE body with httpx
iter_lines()/aiter_lines(). Those follow str.splitlines(), which also breaks
on U+0085, U+2028, U+2029, \x0b, \x0c and \x1c-\x1e. JSON leaves U+0085,
U+2028 and U+2029 unescaped inside strings, so a data: line whose text holds
one of them was cut in two. The tail is not a data: line and the head never
parses, and the accumulate-and-retry fallback then carries the unparsed
prefix forward, so every later event is appended to it and the stream ends
with no more content and no usage.

SSE lines end only at CRLF, LF or CR. The new iter_sse_lines/aiter_sse_lines
split decoded text on exactly those, treating a CR at the end of one chunk and
an LF at the start of the next as one break. The first request and every
long-decode hop now read through them.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fix(streaming): keep merged think tags balanced and split shared SSE lines only on CR/LF

Close an open <think> block on the first content or tool-call delta and at stream end, reopen it when reasoning returns, and route the shared chat completions stream through the SSE line splitter so U+2028 and U+2029 inside JSON no longer drop chunks.

* fix(streaming): exact-match the SSE [DONE] marker in BaseModelResponseIterator

* fix(streaming): split every SSE reader on CR/LF only and keep the logged think block closed

Switch the remaining httpx stream readers (Anthropic chat, Google GenAI,
Interactions, Codestral, openai_like, Predibase, LangGraph, Vertex Agent
Engine, A2A providers, Azure AI agents, sandboxes, the A2A endpoint, and
others) from iter_lines/aiter_lines to iter_sse_lines/aiter_sse_lines, so a
raw U+2028 or U+2029 inside a JSON string no longer splits an event.

Keep the chunk that closes a think block in the logged and cached response
when a stream ends without a finish_reason, close the block before a legacy
function_call, and make sync Codestral FIM streaming send stream=true and use
the text-completion-codestral stream parser.

Test fakes that only mocked iter_lines now stream real httpx bytes and
assert the content they feed in.

* fix(streaming): split buffered SSE parsers only on CR and LF, shard the codestral tests

Buffered SSE and JSONL parsers used str.splitlines(), which also breaks on
U+2028, U+2029 and U+0085 that JSON allows raw inside strings. They now use
split_sse_lines from sse_lines.py, which also gains a str.split fast path.
Adds tests/unit/llms/codestral to the unit workflow shard.

* fix(streaming): keep U+2028 in restamped Anthropic frames and fold CRLF before splitting SSE lines

* test: type the new stream tests, drop a comment, and benchmark the SSE line splitter

* test: type the iterator class parameters in the line-separator stream tests

* fix(responses): stream tool call arguments opened in a text chunk

* fix(responses): hold a tool call that shares a chunk with text until the text ends

* test: type the a2a SSE handler helper and the sandbox fake responses

---------

Co-authored-by: Tim Vink <vinktim@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: michelligabriele <gabriele.michelli@icloud.com>
2026-10-28 17:00:29 -07:00
Kerry Lu
4a70d80aef
fix(aiohttp_transport): keep the owned session open while a response stream is still being read (LIT-10237) (#48920)
* fix(aiohttp_transport): keep the owned session open while a response stream is still being read (LIT-10237)

* test(aiohttp_transport): annotate the stream regression test locals with Final and drop its docstring

---------

Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-28 15:23:52 -07:00
shrey
6e33d7e84b
fix(anthropic-messages): merge deployment and client anthropic-beta instead of overwriting (#48594) 2026-10-28 18:20:06 +00:00
Kerry Lu
d6edd37810
fix(aiohttp_transport): close an owned aiohttp session when its transport is collected (#48650)
An OpenAI or Azure SDK client litellm built and evicted from the client
cache is usually garbage collected inside the closer's 900 second grace
window, so the closer's weak reference dies and the client's aiohttp
session is never closed. LiteLLMAiohttpTransport.__del__ now hands an
owned, still-open ClientSession to _close_recycled_session, which already
covers the current-loop, foreign-loop and closed-loop cases.

Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: BangerSoul <bangersoul@users.noreply.github.com>
2026-10-27 20:33:03 +00:00
Mateo Wang
14193435b8
refactor(anthropic): rename llms/anthropic/pass_through to llms/anthropic/messages (#48510)
* refactor(anthropic): rename llms/anthropic/pass_through to llms/anthropic/messages

Move the unified /v1/messages code out of a directory called pass_through, since it is not the
passthrough feature. The inner messages sub-package becomes native, and the Vertex AI partner
model experimental_pass_through package becomes messages. The old packages stay as import shims
that warn once and alias every submodule in sys.modules, so old deep imports still resolve

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(anthropic): keep Final variables out of loops in the rename shim

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(anthropic): match the warning text in the rename shim test

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(anthropic): resolve old pass_through imports lazily through a meta path finder

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(anthropic): mark the alias loader spec restore for the type discipline gate

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* style(anthropic): format the renamed package shim

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* style(anthropic): keep the rebind-ok marker on the spec restore line

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(anthropic): carry the new package search path on alias specs

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(anthropic): declare the shim test locals Final

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-27 10:08:25 -07:00
Mateo Wang
7e14638001
refactor(llms): rename model-version transformation files to family names (#48509)
gpt_5_transformation.py becomes gpt_reasoning_transformation.py (OpenAI and Azure),
the Bedrock anthropic_claude3_transformation.py files become anthropic_claude_transformation.py,
anthropic_claude2_transformation.py becomes anthropic_legacy_text_completions_transformation.py,
and vertex_ai_partner_models/llama3 becomes vertex_ai_partner_models/llama. Class and symbol
names are unchanged.

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-26 18:53:16 -07:00
ryan-crabbe-berri
db9eda19b4
fix(http_handler): name the timeout phase and limit that fired instead of "after None seconds" (#48250)
* fix(http_handler): name the timeout phase and the limit that fired instead of 'after None seconds'

Every HTTP verb on both handlers raised litellm.Timeout with the per-call
timeout argument interpolated into the message, which is None whenever the
caller relied on the client default, and always said "Connection" even for a
read timeout. One helper now reads the limit httpx actually enforced from the
failed request and names the phase that fired

Fixes #14635

* fix(rust_bridge): name the timeout phase in the vault timeout message to match the httpx handler

* fix(http_handler): drop the unreachable timeout fallbacks httpx already rules out

* refactor(rust_bridge): drop a doc comment that restated the timeout helper
2026-10-26 16:04:33 -07:00
devin-ai-integration[bot]
2e27a02a9f
feat(chatgpt): forward client subscriptions through the gateway (#41522)
* feat(chatgpt): forward each Codex user's ChatGPT OAuth login through the proxy

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(router): cover _model_group_llm_provider metadata resolution

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(chatgpt): keep the gateway ChatGPT login bound to the authenticator api_base

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(chatgpt): move client credential header selection into the chatgpt provider

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(chatgpt): cover credential recognition and stored account id fallbacks

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* feat(chatgpt): support per-model chatgpt_auth_file for multiple ChatGPT accounts

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(chatgpt): resolve bare chatgpt_auth_file paths and drop redundant test docstring

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(chatgpt): pass per-model auth file to early provider detection

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(chatgpt): normalize chatgpt_auth_file before caching the authenticator

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(chatgpt): type account selection parameters

* fix(chatgpt): preserve account selection through saved prompts

* fix(chatgpt): allow administrator account configuration through the proxy

* test(chatgpt): construct immutable request parameters

* fix(router): preserve typed deployment credential resolution

* fix(chatgpt): allow admins to probe unsaved account configurations

* fix(chatgpt): retain SDK login headers during provider resolution

* fix(chatgpt): allow admins to probe unsaved account configurations

* fix(chatgpt): normalize subscription health probe input

* fix(chatgpt): normalize health probe input and cover credential destinations

* test(chatgpt): keep destination rejection assertions focused

* feat(proxy): forward client ChatGPT subscriptions on native Codex routes

* docs: lead ChatGPT forwarding with standard model setup

* fix(chatgpt): preserve selected credentials in health provider lookup

* fix(chatgpt): preserve gateway credentials and workspace selection

* refactor(chatgpt): avoid rebinding streaming metadata inputs

* fix(chatgpt): keep account lookup token argument immutable

* fix(chatgpt): scope forwarded credential routing to ChatGPT

* refactor: keep forwarded credential isolation opt-in by provider

---------

Co-authored-by: Moe Khalil <moe@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Urbanonymous <ugutitej@gmail.com>
Co-authored-by: mateo <mateo@berri.ai>
2026-10-26 15:44:05 -07:00
devin-ai-integration[bot]
9b11729712
fix(vector_stores): put azure vector store id before the api-version query on retrieve, update and delete (#48224)
* fix(vector_stores): put azure vector store id before api-version query

Azure OpenAI's get_complete_url returns a url ending in ?api-version=...,
and the vector store handlers appended the id with an f-string, producing
.../openai/vector_stores?api-version=X/vs_abc and a 404 from Azure.

Add BaseVectorStoreConfig.get_vector_store_url, defaulting to the previous
behaviour so other providers are unchanged, and override it in
AzureOpenAIVectorStoreConfig to keep the query string last. The six
retrieve/update/delete handlers now call it.

Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(vector_stores): trim comments on get_vector_store_url

Drops the inline comment in the Azure override and shortens the base docstring, per AGENTS.md

Co-authored-by: Keith-Hardaway <276775292+hardawaykwork@users.noreply.github.com>
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(vector_stores): capture the Azure retrieve request without a mutable url list

Greptile on #48224: the handler test now follows the file's received list pattern with Final bindings

Co-authored-by: Keith-Hardaway <276775292+hardawaykwork@users.noreply.github.com>
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Keith-Hardaway <keith.hardaway@docusign.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: joshua <joshua@berri.ai>
Co-authored-by: Keith-Hardaway <276775292+hardawaykwork@users.noreply.github.com>
2026-10-24 13:44:19 -07:00
moe-berri
9fab92672a
fix(opencode): forward stable sessions automatically across inference routes (#48121)
Forward caller-supplied stable session metadata to recognized OpenCode destinations across Chat Completions, Responses, and native Messages. Preserve explicit headers, configured affinity headers, and existing transports.

Fixes #39503
2026-10-23 17:38:47 -07:00
Mateo Wang
4b1928387f
test(bedrock): detect Vault reads on the event-loop thread (#47597) 2026-10-20 10:45:04 -07:00
Mateo Wang
f3513bca9e
fix(bedrock): resolve AWS region and secret lookups off the event loop (#47331)
* fix(bedrock): resolve AWS region and secret lookups off the event loop

Bedrock request paths that resolve their region, endpoint or bearer token
inside the async handler now do it in the AWS signing executor, so a slow
secret manager read no longer stalls every other request on the worker

* fix(bedrock): type the STS client kwargs and claude platform environment override

Keeps the basedpyright counts at or below the merge base after the off-loop wraps, by typing the STS client kwargs as a TypedDict, the claude platform environment override with concrete dicts, and the realtime region call through the typed getter

* test(bedrock): detect event loop stalls without wall-clock timing

The Vault fake now answers a read only after the test loop runs a callback, so a read made on the loop thread is caught deterministically instead of by a sleep and a heartbeat threshold
2026-10-20 17:04:41 +00:00
Kerry Lu
c6c303a618
fix(batches): apply the Vertex regional endpoint uplift to batch cost (#47466)
* fix(batches): apply the Vertex regional endpoint uplift to batch cost

batch_cost_calculator takes vertex_location and multiplies by the model's
regional_endpoint_uplift_multiplier through get_vertex_regional_endpoint_uplift,
and every batch cost path (aretrieve_batch pricing, completed-batch logging,
native Vertex batch rows, the proxy batch cost poll and its per-line items)
resolves the deployment's location and passes it down

Co-authored-by: Mrun25 <165297479+Mrun25@users.noreply.github.com>

* test(logging): point the resolver tests at resolve_vertex_location_for_cost

---------

Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Mrun25 <165297479+Mrun25@users.noreply.github.com>
2026-10-20 01:51:51 +00:00
Mateo Wang
8b9cd12a89
test: catch regressions in the validation lines #44798 added (#47420)
* test: pin the validation lines #44798 kept with failing cases

* fix(containers): accept endpoint table entries that omit their param lists

* test: keep the endpoint table and xAI adapter as on main

The endpoint table ships inside the package, so optional param lists fixed no
reachable state and turned a loud failure into silently dropped params. Drops
the Gemini case that main's tests already cover.

* test: cover the cost map backup and Gemini image config validation lines

The cost map backup adapter's hide flag, and the validation itself, could be
removed with every test still green. The Gemini imageConfig adapter could be
narrowed with only the integration suite noticing, which does not run on PRs.

The endpoint table cases now read a real file through the module's location
instead of replacing open, so reading the file another way keeps them green.

* test: pin the container handler's loud table failure and loosen two pinned drops

A container endpoint table entry without path_params or query_params fails
the call on main, and no test held that. The new case trims each key from the
packaged table and expects the validation error.

The Gemini imageConfig case now accepts a drop or UnsupportedParamsError for a
non-object value, and the Bedrock beta case checks only that numbers come back
as strings, so neither pins behavior the drop_params convention may change.

* test: check a numeric beta array is never split as text and use the latest Gemini image model

The Bedrock case now also fails when a JSON array of numbers falls through to
the comma split, which returns bracketed fragments, while a drop or a string
coercion both stay allowed.
2026-10-20 01:06:37 +00:00
Mateo Wang
c0d88b46c9
fix(azure): cache the remaining per-request Entra credentials and keep token refresh off the event loop (#47348)
* fix(azure): cache the remaining per-request Entra credentials and keep token refresh off the event loop

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(realtime): await the now async azure health-check auth header helper

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(azure): await async azure_ad_token_provider results in the threaded wrapper

* fix(azure): keep transport params when validating async Azure client params on pydantic 2.11

* test(azure): assert the token and validation thread hops by thread identity instead of sleeps

* fix(azure): give the OIDC token exchange its own short-lived HTTP client

The exchange now runs from worker threads, so it no longer shares litellm.module_level_client's connection pool with other threads

* test(azure): check the OIDC exchange closes its client through an in-process transport

* refactor(responses): merge caller extra_headers into a new dict instead of updating validated headers in place

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-19 20:35:27 +00:00
devin-ai-integration[bot]
eb5295b20c
fix(anthropic): add the dangerous-tool-use beta when a /v1/messages request carries safeguards (#43955)
* fix(anthropic): add the dangerous-tool-use beta when a /v1/messages request carries safeguards

* test(azure_ai): pin the outgoing Foundry request keeps the dangerous-tool-use beta next to safeguards

* test(azure_ai): inject the Foundry client and scope the beta cache reset to the test

* test(azure_ai): own and close the mock transport client, drop the docstring entry

* test(integration): audit the safeguards beta derivation across anthropic-compatible providers

* fix(github_copilot): keep safeguards from deriving the dangerous-tool-use beta

* test(integration): kill the chaos victim worker through the harness helper

* fix(anthropic): derive the dangerous-tool-use beta only where the beta map supports it and honor additional_drop_params

The safeguards beta is now added only for providers whose beta map column accepts it, so github_copilot, Eden AI and the OpenAI-compatible JSON providers keep their base wire. additional_drop_params now runs before the provider headers are built, so a dropped param no longer drives its derived beta.

* fix(anthropic): load the beta map off the event loop and pin a dropped context_management

The first /v1/messages request that needs the remote beta map now loads it in a worker thread,
so a slow fetch no longer stalls every other request on the worker. An integration cell pins that a
deployment dropping context_management sends neither the field nor its derived beta.

* fix(anthropic): load the beta map only for safeguards requests, once per worker

* fix(anthropic): gate safeguards on the bundled beta map and load the remote map on its own thread

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-17 16:46:25 +00:00
ryan-crabbe-berri
f470e418ea
fix(anthropic): keep signed empty thinking blocks and honor thinking.block_binding (#46342)
* fix(anthropic): treat adaptive thinking as enabled when mapping response_format

is_thinking_enabled only recognised thinking.type=enabled, so a request that
paired thinking.type=adaptive with response_format took the synthetic JSON
tool path with a forced tool_choice, which Anthropic rejects alongside
thinking. The same check also gates the Bedrock Converse and Databricks
forced tool_choice downgrades, so they now see adaptive thinking too.

* fix(anthropic): keep signed thinking blocks with empty text on chat completions

Models that default to display: omitted return signed thinking blocks whose
text is empty, and Anthropic rejects the next turn when they are not replayed
unchanged. is_unsignable_thinking_block dropped them along with unsigned
blocks, and the inline content path required non-empty text, so a tool-use
turn on Opus 4.7+ or the 5 families lost its thinking blocks and 400ed on the
tool-result turn. Only a missing signature now drops a block, and the
mid-conversation system placement mirrors that rule. The /v1/messages strip
helper is left to #41362.

* fix(anthropic): skip the thinking-strip retry when block_binding asks for an error

The /v1/messages retry loop strips thinking blocks and resends on any
invalid-thinking 400, including the binding mismatch a caller opted into
with thinking.block_binding.prefix_mismatch_behavior: error. The retry
decision now sees the request body and surfaces that 400 instead of
overriding the caller's choice. #42888 covers the litellm_params side.

* fix(bedrock): carry thinking.block_binding through the Invoke thinking rebuilds

Bedrock Invoke rebuilt the thinking param from scratch when display: updates
was requested, on both the /v1/messages and chat completions paths, and the
legacy enabled-to-adaptive translation plus the clear_thinking injection did
the same, so thinking.block_binding never reached Bedrock. Every rebuild now
spreads the caller's thinking and only overrides the keys it owns, and
AnthropicThinkingParam types block_binding. The thinking-binding-controls
beta was already on the Bedrock allowlist.

* fix(anthropic): keep forcing the response_format tool under adaptive thinking

This reverts ad9e861ae7. Anthropic, Bedrock Invoke and Vertex all accept a
forced tool_choice next to thinking.type=adaptive and only reject it with
type=enabled, so counting adaptive as enabled fixed no live failure. It did
drop the forced JSON tool, so Claude answered response_format requests in
prose, and it downgraded a required tool_choice to auto on Bedrock Converse

* test(e2e): drop the adaptive thinking tool round trip case

With adaptive thinking the model often skips thinking on the weather prompt, so
turn 1 carries no signed empty block and the case fails before the replay it is
meant to cover. Anthropic also answers the replay with a 200 whether or not the
block is forwarded, so the case could not tell the fix from main. The factory
unit tests pin the outgoing shape instead

* fix(anthropic): only skip the thinking-strip retry for a binding mismatch 400

prefix_mismatch_behavior: error asks Anthropic to reject a block bound to
another conversation. It says nothing about unrelated bad blocks such as a
null signature, so those still get the strip-and-retry self-heal. Also trims
the empty-thinking docstrings to what the code guarantees and types the new
test parameters

* refactor(anthropic): narrow thinking fields with the mapping validator instead of typing.cast

typing.cast is banned by the strict ruff gate (TID251), so the three new casts pushed that rule one over its merge-base count. The existing pydantic mapping validator gives the same typed view without an unchecked cast, and it now has a generic name since it is no longer only used for Claude Code payloads

* refactor(anthropic): read thinking settings through the validated mapping so basedpyright stays at its merge-base count

The Bedrock clear_thinking rewrite still narrowed with a cast and an untyped dict fallback, which added two reportUnknownVariableType errors. It now uses the same pydantic mapping validator, made public for that reuse, and the retry hook validates the request body itself so the handler passes a typed dict instead of an untyped one

---------

Co-authored-by: yuneng-jiang <yuneng@berri.ai>
2026-10-15 18:49:53 +00:00
devin-ai-integration[bot]
c00706218b
fix(vertex_ai): return 400 with file line number for malformed batch JSONL row (#40097)
* fix(vertex_ai): return 400 with file line number for malformed batch JSONL row

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(vertex_ai): keep yield outside the JSON decode guard

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(http_handler): surface BaseLLMException raised while streaming a request body

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(http_handler): only follow __cause__ when unwrapping streamed body errors

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(http_handler): avoid recursive streamed error unwrapping

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(vertex_ai): return a 400 naming the line for wrong-shape and non-UTF-8 batch rows

Keep main's error path for a directly raised provider error and only unwrap
one found behind a transport error. Add the parser column to invalid JSON
errors, and cover the real aiohttp chain in the _handle_error test

* fix(vertex_ai): report every row conversion error as a 400 naming its line

A message with no role, a non-string role, a bad temperature, or a litellm
BadRequestError raised while converting a row still returned a 500, and the
async upload lost the 400 for litellm's own exceptions. The stream now turns
any error from one row's conversion into a 400 naming that line.

_handle_error only unwraps an httpx.TransportError, which is what the aiohttp
transport raises around a failing request body, so other callers keep their
own status. A file that starts with a UTF-8 byte order mark now uploads, and
provider messages start with 'Batch input file line N' like the proxy check.

* fix(vertex_ai): reject null or missing batch bodies and unparseable rows with a 400 naming the line

A chat row whose body is missing or not an object now raises a 400 naming
its line instead of uploading a blank prompt, and a non-object body on
line 1 no longer crashes the GCS object name lookup. Rows too deeply nested
or too long to parse return a 400 from both the SDK and the proxy's own
batch file check. JSON error columns now count leading whitespace.

* fix(vertex_ai): keep batch rows on their file line through router and guardrail rewrites

The Router model rewrite and batch guardrails now keep blank lines and blank out dropped records, so a provider error naming a line still points into the caller's file. The rewrite strips a leading BOM per line, and a non-string body.model on line 1 is reported as a 400 naming the line

* test(integration): cover Vertex batch row line errors across routes, rewrites, SDK and worker chaos

* fix(router): keep blank lines only for Vertex batch uploads and leave guardrail rewrites compact

* test(integration): score the whole OpenAI upload after a guardrail drop and cover a mixed OpenAI and Vertex batch upload

---------

Co-authored-by: jesus <jesus@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-15 03:21:48 -07:00
Mateo Wang
457b5d26c7
fix(anthropic): stream json_schema answers as content on Bedrock Mantle and Claude Platform, and join split answers (#46331)
* fix(vertex_ai): unwrap tool-emulated json_schema envelopes and send output_config.format for Claude

Vertex AI Claude deployments that emulate response_format through a forced
tool sometimes nest the schema object under an extra key such as
`parameters` or `input`, and that envelope reached message.content with a
200. The converter now unwraps exactly one nested object that matches the
schema, leaving a payload that is itself schema-shaped alone.

Native structured-output rows sent the deprecated top-level `output_format`,
which Vertex rejects with a 400. The Vertex request now carries it as
`output_config.format`, with an explicit caller value winning.

* fix(anthropic): unwrap tool-emulated json_schema envelopes on streams and tool-name wrappers

* test(anthropic): expect the json tool description through a shared constant

* fix(anthropic): drop the json tool description that makes sonnet-5 omit required keys

* fix(anthropic): keep schema-accepted answers whole and decide held streams at the second key

An answer the json_schema accepts is returned as is before any envelope rule runs, the tool-name
wrapper is unwrapped only when the schema rejects it, a malformed schema turns the unwrap off, a
streamed answer whose first key is a schema property named name or tool_name waits for its second
key before streaming, the held fragments go through a StringIO, and a prefix that stays undecided
past 4 KB is held to the end

* test(anthropic): keep the stream family cells to providers whose stream iterator gets the schema

* fix(vertex_ai): unwrap claude json_schema answers nested under up to three wrapper keys

A tool-emulated json_schema answer was unwrapped only when the real object sat one key down. In live QA, 1 of 58 answers (/v1/responses, claude-sonnet-5) came back as {"parameter": {"value": {...}}} and reached the client still wrapped

The unwrap now follows single-key wrappers up to three levels down and stops at the first object that has a key the schema declares. That object is returned only when it has every required key. A payload wrapped deeper than three levels, a level with more than one key, and a level whose key is one of the schema's own property names all come back exactly as they arrived

The streamed path needs no change because the buffered answer goes through the same unwrap when the tool block closes, and a test now pins that both paths agree

* fix(bedrock): unwrap streamed claude json_schema answers on claude platform and mantle

A streamed json_schema answer on bedrock/claude_platform and Bedrock Mantle Claude reached the client as tool_calls deltas holding the json_tool_call wrapper, with finish_reason tool_calls and no content. The shared HTTP handler built the async stream iterator without json_mode, and neither stream path passed the response_format schema

The handler now asks the provider config for the iterator through get_model_response_iterator_for_request, which carries json_mode and the request's optional params on both the sync and async paths. Claude Platform and Mantle override it to hand the json tool schema to the Anthropic stream iterator, so the streamed answer is the bare schema object with finish_reason stop, the same as the non-streamed one

Databricks is the only other provider on this handler whose iterator reads json_mode, so its async Claude json mode stream now returns the answer as content like its sync stream already did

The stream family integration test covers claude_platform_unmapped and bedrock_mantle again

* fix(anthropic): unwrap json tool envelopes by structure instead of schema validation

The unwrap now reads only the schema's top-level property names. A lone
undeclared key holding an object, alone or beside a name equal to the json
tool's own name, is the envelope, and the unwrap repeats while the inner
object shares no key with the schema. jsonschema and referencing are no
longer imported on the request path. The stream holds only an answer that
opens with the tool's name or with an undeclared key holding an object, and a
schema without top-level properties streams as it arrives.

* fix(llms): keep other providers' async streams as they were

The request-aware iterator hook passed json_mode on async streams to every provider on the shared HTTP handler, which changed Databricks and any other provider whose iterator reads it. The default hook now makes the same two calls the handler made before, so only Claude Platform and Bedrock Mantle change, and the Databricks test that pinned the wider change is removed

* fix(anthropic): walk json tool envelopes iteratively

* test(llms): pin which stream iterators get json_mode from the shared handler

A provider config that does not override the request-aware iterator hook still gets json_mode on a sync stream and still does not get it on an async stream, the same as before the hook existed

* fix(anthropic): keep json tool arguments too deep to decode instead of raising

* fix(anthropic): unwrap json tool envelopes beside undeclared string labels

* fix(anthropic): keep json answers whole on schemas that allow extra keys and stream held text as sent

A schema that allows undeclared keys and requires none now keeps an undeclared wrapper key on both the stream and non-stream paths. When no envelope is found, the held stream text is now sent exactly as the model wrote it. On Vertex /v1/messages, output_format now wins over output_config.format when both are set, which matches the Anthropic adapter.

* fix(anthropic): join a json_schema answer the model splits into one tool block per field

With tool emulation the model sometimes answers with one json_tool_call block per schema field, each naming the field and holding its value. The non-stream path returned only the first block and the stream sent every block's text back to back, so the client got one field or invalid JSON. Both paths now build one schema object from those blocks, and any other set of blocks keeps today's output

* refactor(anthropic): set the streamed finish reason in one expression

* test(anthropic): cover label envelopes, dynamic-key schemas, as-written held streams and output_format precedence

* fix(anthropic): unwrap a streamed values wrapper like the non-stream answer

* fix(anthropic): join streamed split answers on schemas without required keys, keep client tool calls and length on json_schema streams

* fix(anthropic): join streamed split answers that carry text labels on schemas without required keys

* test(bedrock): script the wrapped json_schema stream with the wrapper Bedrock Mantle sends

* test(bedrock): script the wrapped json_schema stream with the wrapper Bedrock Mantle sent raw

* fix(anthropic): join a split json_schema answer whose fields all hold the same string

* fix(anthropic): join a split json_schema answer sent as one partial object per field

* fix(anthropic): join field blocks after an empty streamed answer without a leading comma
2026-10-14 11:32:59 -07:00
Mateo Wang
ccc656873d
fix(http_handler): only replay POST and PATCH when the request never reached the upstream (#46336)
* fix: narrow async HTTP retries

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(http_handler): keep disconnect resend for idempotent PUT and DELETE

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: nate <nate@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-14 07:58:26 -07:00
devin-ai-integration[bot]
a2e334febe
test: migrate local_testing SDK and provider tests out of build_and_test (#45760)
* test: migrate local_testing SDK and provider tests out of build_and_test

* test: cover sagemaker region, hf template and nova paths end to end

Region rows now go through litellm.completion on the sagemaker/ handler that
the legacy tests exercised, the prompt template test mocks the Hugging Face
tokenizer config instead of switching to custom_prompt_dict, streaming tests
assert role, finish reason and body, and Nova single turn and streaming run
through litellm.completion with a recorded request body

* test: tighten migrated integration tests for local OpenAI routes, timeouts and air-gapped boot

Split the catch-all providers migration file by behavior. The fake endpoint
route tests now hit the owned upstream directly, as the legacy harness tests
did. LM Studio asserts the outbound key, path and stripped model. The embedding
timeout test asserts the proxy maps a deployment timeout to a 408 and forwards
the read timeout to the provider client, instead of timing out the test client

The Azure streaming tool-call test also asserts the second identical stream is
served from the Redis cache with the same reassembled tool call

The Docker network test always skipped in CI because the security job has no
litellm/litellm image and no egress to pull one, and it tested a published image
rather than the checkout. It now boots the checkout proxy with every outbound
HTTP connection refused and asserts readiness, the bundled cost map fallback and
that the cost map host is the only egress attempted

* test: tighten the migrated e2e rows for local_testing SDK and provider tests

Drop the duplicated Anthropic covers marker and the Anthropic cell wrongly claimed by
the Bedrock and Vertex cache tests. Keep the file-wide Anthropic model as it is on main.
Send the 2023-06-01 version header to Anthropic through the deployment's extra_headers
so the header actually reaches the provider, and mark the creation-token case 1h then
5m like the legacy test did

Reuse the Bedrock file's own registration for the pydantic response test, swap the
hand-built PNGs for the shared cat.jpg fixture, assert the SageMaker Nova image answer
names the cat and that top_logprobs=3 is honored, and register the SageMaker Nova opt-in
markers the same way as the other opt-in markers

* test: restore lost assertions in migrated test_main tests

Restore the role alternation check in test_completion_anthropic_hanging, the
embedding and streaming response-header checks, the logit_bias drop check and
the gemini system and safety settings checks. Add an azure 429 retry-after
test for test_exception_with_headers, trigger the router fallback with
mock_timeout like the legacy test, and stop the mock timeout tests sleeping 3s

* test: restore lost legacy assertions in migrated vertex ai unit tests

* test: tighten migrated cost, streaming and embedding tests and scope the hosted mock guard

* test: strengthen migrated anthropic, azure, bedrock and cohere provider tests

Assert full request bodies and usage instead of presence checks, restore the
dummy-tool and custom_llm_provider assertions the legacy tests made, add the
async and per-model variants the legacy parametrization covered, split
streamed tool arguments across deltas, and move the Azure chat streaming
tests to the azure.py mirror file

* test: tighten migrated llms provider tests and cover legacy intents lost in the move

Strengthen the migrated fireworks, gemini, mistral, together, openai text completion, openrouter, perplexity and openai error tests so they assert what the legacy tests proved (cost, provider tag, usage-only-on-last-chunk, function_call rebuild, reasoning param, sync/async/stream error fields). Replace the huggingface and jina tests that doubled litellm code with respx end-to-end tests. Add the tests the pre-existing mapped tests never covered: cohere 400 mapping, token-array text completion, hosted_vllm/llamafile/lm_studio env api base embeddings, watsonx embedding auth, ollama ssl_verify client and ollama vision prompt

* test: cover residual legacy paths for anthropic tool streams, watsonx async stream, ollama http images and caller async embedding clients

* test: restore single request assertions in the deep_infra and azure_ai embedding tests

* test: drop a no-op streaming cost flag from the openai streaming cost test

* test: cover residual legacy-test lines in caching, main, utils, replicate, vertex and bedrock invoke

* test: cover streamed audio assembly, choice membership, untranslated responses events and the stream log guard

* test: pin cost rates in unit tests, use sdk for cohere e2e, drop vertex llama e2e

* test: send the vertex maps e2e request through the openai sdk

* test: drop the local_testing jobs that select no tests after the migrations

* test: wait for the streamed cache entry and keep custom Mistral rates test-local

* test: keep untouched Mistral test lines as they were

---------

Co-authored-by: yuneng <yuneng@berri.ai>
2026-10-10 23:14:25 +00:00
devin-ai-integration[bot]
13928bdabe
fix(websearch_interception): drop stream_options when forcing stream=False and replay it on the final stream (#45433)
* fix(websearch_interception): drop stream_options when forcing stream=False and replay it on the final stream

* test(websearch_interception): type the conversion helpers and drive the replay test through mock_response

* test(websearch_interception): pin the replay test's values as Final and record follow-ups immutably

* fix(proxy): strip every agentic-loop control key from client bodies, the web search keys included

* fix(interception): move stream_options off forced non-stream calls for code interpreter and headroom, and keep adapters from replaying nested calls

* test: annotate new interception test locals with Final

* fix(responses): drop params a deployment hook removed on sync Responses calls

* test: drive the sync Responses stream_options regression through a mock transport and real Azure config

* test: type the agentic loop recorder and capture the sent request on an object

* test(integration): cover interception stream_options on chat, responses, messages and the SDK

* test(integration): assert the follow-up error text and release a held burst on failure

* test(integration): pin the follow-up failure contract and wait for the replacement worker before teardown

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-09 22:16:02 -07:00
devin-ai-integration[bot]
390bea6a53
fix(proxy): save file details for every batch output file so they list and retrieve (#41761)
* fix(proxy): register bedrock batch output files with a file object so they list

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): guard output file size when content is missing

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): cover managed batch output file listings

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): persist metadata for batch output files

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): cover batch output file listing and retrieval end to end

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): preserve provider metadata for managed batch files

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): update managed batch output registration mocks

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): inject fake prisma client in managed batch output file tests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): retry provider file details and refresh fallback batch output entries

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): cover fallback batch output file details refresh after provider recovers

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): cover model-name managed batch file retrieval

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(managed_files): bound the batch output file lookup so a slow provider cannot stall GET /v1/batches

* fix(managed_files): skip the provider lookup for a fallback entry written moments ago

* fix(proxy): safely refresh managed batch file details

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): keep batch listing provider-free

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(bedrock): return metadata for empty S3 objects

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): strengthen batch fallback regression assertions

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* docs(proxy): describe provider reads and DB writes for batch output files

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): sanitize caller-derived ids in managed file logs

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* docs(proxy): simplify batch and file endpoint docstrings

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* chore(ui): regenerate API types from proxy OpenAPI spec

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(test): resolve managed files lint violations

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(proxy): save refreshed managed file details through ManagedFileRepository

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(bedrock): classify retrieved file purpose by its own bucket prefix

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* docs(proxy): move batch and file endpoint behavior notes to litellm-docs

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(bedrock): resolve strict lint violations in file retrieval

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(bedrock): mark retrieval request metadata handoffs

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): resolve managed batch type-check diagnostics

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): avoid duplicate final response bindings

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mrinal <mrinal@berri.ai>
Co-authored-by: Yucheng He <yucheng@berri.ai>
2026-10-08 18:51:45 -07:00
devin-ai-integration[bot]
d5173e3d70
test: move 76 live top-level tests to offline unit and integration coverage (#45352)
* test: move 76 live top-level tests to offline unit and integration coverage

* test: keep the mock-param opt-in guard valid once the top-level senders are gone

* test: address review on offline replacements

* docs(test): drop the deleted harness test file from the harness check command

* test: make the key rebind, team member delete and routes integration tests exercise the legacy paths

* test: make fallback, rpm and spend integration contracts deterministic and clean up their rows, assert the rpm limit in usage-based routing

* test: expect the no-deployments error at the rpm limit and cover the strategy check without pre-call checks

* test: hand member cleanups to the scenario instead of growing a budget list, flatten callback kinds

* test: scope the admin health check to the test's own deployment

---------

Co-authored-by: yuneng <yuneng@berri.ai>
2026-10-08 10:33:35 -07:00
Mateo Wang
70e6a2ff24
fix(vertex_ai): dial the multi-region Live API host for realtime sessions (#45166)
* fix(vertex_ai): dial the multi-region Live API host for realtime sessions

A realtime deployment with vertex_location us or eu dialed
{location}-aiplatform.googleapis.com, which Vertex does not serve for a
multi-region, so the WebSocket handshake came back 404. The URL builder now
resolves its host through the shared Vertex host resolver, which already
maps us and eu to aiplatform.{geo}.rep.googleapis.com and leaves regions
and global unchanged.

* test(vertex_ai): annotate the realtime multi-region URL tests

* fix(vertex_ai): skip the TLS argument when the realtime api_base is plain ws://

The Vertex realtime session and health-check connects passed the shared
TLS context to every websocket dial, so an api_base the transformation
already maps from http:// to ws:// failed with 'ssl argument is
incompatible with a ws:// URI' before any frame was sent. The OpenAI
realtime handler already skips the argument for ws://; the shared helper
now does the same for the Vertex path

* test(integration): cover the Vertex realtime multi-region host through the proxy

Fourteen cells on the scripted Gemini Live upstream: api_base overrides for
us, eu, us-central1 and global complete a turn; malformed locations are
refused before any dial; a missing location defaults to us-central1; the
realtime health check handshakes the override host and reports a malformed
location without dialing; a refused handshake reaches the client and the
next session connects; twelve concurrent sessions across locations each
reach the upstream once; an upstream outage closes every open session and
the proxy recovers

* test(realtime): type the health-check helpers and flatten the burst order

* test(http_handler): type the realtime TLS test signatures
2026-10-07 17:39:38 -07:00
devin-ai-integration[bot]
e2971e0af4
refactor(llms): expose public names for private provider helpers (#45037)
* refactor(litellm): migrate private usage in llms

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(litellm): preserve Bedrock batch signature marker

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(litellm): migrate llms private usage symbols

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(litellm): preserve UUID Watsonx project IDs

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(litellm): retarget llms mocks to public names

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(litellm): limit llms changes to renames and forwarders

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(litellm): keep GCS mock client patching private Vertex auth methods

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(litellm): assert forwarder arguments and type forwarder signatures

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: mateo <mateo@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-07 08:49:25 -07:00
devin-ai-integration[bot]
dfe4df8c8a
test: move whole-unit legacy test files into tests/unit and delete dead skips (#44807)
* test: delete unconditionally skipped legacy tests

* test: move whole-unit legacy test files into tests/unit

* test: keep moved legacy tests free of import-time global state

* test: keep the module-level invocation scan pointed at tests/local_testing

* ci: drop the agent_testing CircleCI job emptied by the move

* test: fix moved-test isolation and router coverage

* test: add Tinyfish search package marker

* test: isolate moved tests from logger state leaks

* test: isolate Helicone logging fixture state

* test: isolate Vertex pass-through credentials between moved tests

* test: cancel S3 periodic flush tasks started by moved tests

* ci: restore CircleCI assistant test selection after move

* test: prevent Datadog datetime import shadowing

* ci: drop the litellm_assistants_api_testing CircleCI job emptied by the move

* test: deduplicate imports in rebased unit tests

* test: remove duplicate passthrough router patch import

* test: remove moved legacy source files after rebase

* test: align moved tests with rebased main

* test: carry main's legacy-file edits into moved destinations

* test: make the moved cost map fallback tests assert the fetch and the backup

The four fallback cases only checked the result was non-empty, so they still
passed with integrity validation disabled. They now inject a mock client, assert
one fetch happened, and assert the result is exactly the local backup with the
fallback reason recorded.

---------

Co-authored-by: yuneng <yuneng@berri.ai>
2026-10-07 05:02:28 +00:00
ishaan-berri
5ed7ec8511
fix(lens): price agent traces by joining gen_ai.response.id to spend logs (#44738)
* fix(lens): price agent traces by joining gen_ai.response.id to spend logs

Trace spend now joins each model call to spend_logs on one key: the
span's response id (gen_ai.response.id or the id the normalizers read
from OpenInference/LangChain output) against spend_logs.response_id or
the upstream id embedded in a managed resp_ id. The litellm.call_id and
traceparent transport join paths and the per-row ownership gate are
removed; the spend SQL still restricts rows to what the reader can see.

A run with some unpriced calls now reports the sum of its priced calls
plus priced_calls, instead of an unknown total.

* test(lens): cover response id spend join and partial trace totals

* chore(lens): regenerate trace types for priced_calls

* feat(lens): show partial run cost as a lower bound with priced call count

* fix(lens): treat litellm.call_id as the same assigned call id for spend joins

The id LiteLLM assigned to a call is either the response id it returned
(gen_ai.response.id -> spend_logs.response_id) or its gateway call id
(litellm.call_id -> spend_logs.litellm_call_id). Both are exact ids the
gateway mints and logs, so the join stays one rule. Transport span
matching and the ownership gate stay removed.

* test(lens): cover litellm.call_id spend joins and restore captured totals

* feat(lens): link each priced model call to its spend log

Spans gain spend_log_request_id, the spend_logs.request_id the call was
priced from, and spend_match, which says whether a model call matched or
why not (no assigned id on the span, no spend log with that id, or an
ambiguous match). A model call span is priced from the same ids as the
run total, so its cost and the total agree.

* test(lens): cover spend log links on model call spans

* chore(lens): regenerate trace types for spend log links

* feat(lens): open the matched spend log from an LLM step

An LLM step's header now shows a Spend log chip with the matched
request id and cost; clicking it opens the request log drawer over the
run, fetched by the exact spend_logs.request_id instead of the span's
own response id. Unpriced steps say why (no assigned id on the span, or
no spend log with it). Tree rows show each model call's cost, and a
partial run cost shows its priced call count inline.

* test(lens): cover the spend log link and unmatched cost reasons

* feat(lens): show the spend log link as a bordered LiteLLM Spend Log button

* feat(lens): add a back link from the spend log drawer to the agent trace

* feat(lens): label the spend log back link Back to Lens trace with the Lens icon

* fix(lens): ignore assigned ids that name no spend log when pricing a call

An id that names no row no longer vetoes the call, so a span carrying
both a response id and a call id still prices from a spend row logged
before litellm_call_id existed. An id naming two or more rows makes the
call ambiguous, and the match reason comes from the same per-id result,
so a single matched row with no cost is reported as matched.

* fix(lens): price a trace only from spend logs in its own team

A reader with several teams could see the same assigned id in another
team's spend log; only rows from the trace's team now price it. The
user and key ownership gate stays removed.

* perf(lens): resolve each model call's spend once per trace

Model call matches are computed once when the trace is resolved and
looked up by span index, instead of scanning the model call list for
every span and walking the graph again for spans, agents and the run
total.

* fix(lens): hide a step's Cost fact only when its spend log link shows the cost

* chore(lens): drop narrative doc comments from the spend join

* fix(lens): price a model call only when its ids agree on one spend log per span

* fix(lens): keep pricing spend logs written before litellm_call_id by their request id

* fix(lens): price every attempt a model call's ids name when they agree
2026-10-06 19:55:26 +00:00
Mateo Wang
d4a791d650
refactor(types): replace Any with proven types in 157 files (#44798)
* refactor(types): replace Any with proven types in 299 files

Clears 871 basedpyright Any errors (reportAny 6,703 to 6,240, reportExplicitAny 1,651 to 1,243) without adding a cast, an ignore or a suppression, and without touching any budget file

Most edits are annotation-only: a parameter, return or local goes from Any to object, Mapping[str, object] or the concrete type the value always held. Fourteen files validate untyped JSON once where it enters, through a module-level pydantic TypeAdapter or model_validate, and then use real types

No HTTP status, error type or response shape changes. Mistral speech and fal.ai Bria image generation now report a pydantic ValidationError instead of an AttributeError when the provider answers 2xx with a body that is not a JSON object

* refactor(types): make the config locals fix effective and trim no-op edits

The Mapping[str, object] annotation on `locals().copy()` removed no error,
because the checker narrows the variable back to the dict[str, Any] the call
returns. 21 provider config constructors now build the same copy with
dict(locals()), which the checker infers as object values under that
annotation, so each file loses one reportAny.

The same annotation is reverted in 31 other config files where it stayed a
no-op, together with the tests that were added only to cover those lines, and
the one MCP server manager line that no CI coverage shard executes is
reverted too. The pull request drops from 345 to 297 changed files.

* refactor(types): accept only int in the proxy state setter

get_proxy_state_variable is annotated to return int, but
set_proxy_state_variable still took Any, so the checker could not hold
callers to the type the getter promises. The setter now takes int, which is
what its only caller already passes.

* refactor(types): index the proxy state key so the getter returns int

* refactor(types): keep public annotations and provider error text unchanged

Restore every public return, public method parameter, public attribute and exported
alias to its annotation on main so code that type-checks against the package keeps
type-checking, and take the Mistral speech and fal.ai Bria changes back out so no
provider error message differs from main

* refactor(types): leave the Vertex RAG chunking read as it is on main

Take the chunking format validation back out of the Vertex RAG ingestion path. It needs the vertexai SDK, a storage bucket and a RAG corpus to execute, so nothing here could run it end to end, and it cleared only two errors

* test(integration): pin the validated provider boundaries on a live proxy

* test(integration): give the held burst a client that outlasts the gate

The fault cell holds a burst at the upstream for up to 60 seconds while it kills a worker, but sent the burst through the shared 15 second client, so a slow box could time the survivors out before the gate opened. The burst now goes through its own client whose timeout is twice the gate, and the gate length is one named constant.

* refactor(types): keep the license reply handling and experimental MCP signatures as they were

The license check validated the whole reply as a mapping, which changed the error text logged for a reply that is not an object. It now validates only the verify value, so every reply is handled and logged exactly as before while the value is still typed.

Three files under the experimental MCP server changed annotations on public functions and methods (three returns and three parameters). They go back to their previous content so no public signature in the diff is narrowed.

* test(integration): answer the proxy's model-list call in the OpenAI stand-ins

Every 300 seconds each proxy worker asks an OpenAI deployment for GET /v1/models. Four new cells own an OpenAI stand-in that accepted only the call under test, so a refresh landing inside a cell failed it. The stand-ins now answer that call through the suite's own helper and the cells count only the provider calls they drive.
2026-10-06 15:31:54 +00:00
devin-ai-integration[bot]
a983b2a5e7
fix(responses): honor caller stream flag when provider forces SSE (internal copy of #34095) (#41235)
* fix(responses): honor caller stream flag when provider forces SSE

The Responses handlers decided whether to hand back a streaming iterator
from the provider payload's `stream` field, which chatgpt sets
unconditionally because the Codex backend only serves SSE. A caller that
sent `stream: false` therefore received a raw SSE stream on /v1/responses,
and the chat-completions bridge failed with "Unknown items in responses
API response: []" once its recovery path lost the raw SSE it reads from

Transport streaming still follows the provider payload; only the caller's
own `stream` value now decides the response shape. When the provider
forces SSE for a non-streaming caller the body is read and aggregated
through the existing path

* test(chatgpt): inject the authenticator into the responses config so handler tests never log in

* fix(responses): treat an extra_body stream flag as the caller's own and drop a redundant comment

* test(integration): audit the chatgpt caller stream flag across responses, chat and messages

---------

Co-authored-by: SeongWoon Cho <coffee@soylatte.kr>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-10-06 03:30:47 +00:00
devin-ai-integration[bot]
0ed1c08f02
feat(anthropic): workload identity federation and pluggable identity sources (#44448)
* feat(anthropic): workload identity federation and pluggable identity sources

Backend half of #38818 (internal copy of the fork PR #38013), rebuilt as one
commit on top of litellm_internal_staging without the dashboard changes.

Deployments on anthropic/ without a static api_key can exchange an OIDC
workload assertion for a short-lived sk-ant-oat01 token through a shared
RFC 7523 JWT-bearer engine. The assertion comes from a mounted token file,
an env token, a LiteLLM-signed issuer, or Keycloak, chosen per deployment,
per named credential, or through ANTHROPIC_IDENTITY_SOURCE. The federation
fields are server-owned: refused inline in request bodies and on
POST /model/new, proxy-admin only on credentials, and the token exchange
is pinned to api.anthropic.com unless LITELLM_ANTHROPIC_WIF_ALLOWED_HOSTS
adds a host. GET /credentials/{name}/jwks exports the public key set of a
LiteLLM-signed credential for the Claude Console.

The OpenAI federation trio from #39613 rides along on the backend side with
the same server-owned handling.

Fixes #28607
Resolves LIT-6107

Co-authored-by: derhornspieler <15236687+derhornspieler@users.noreply.github.com>

* fix(anthropic): let batch-result downloads mint from deployment params and accept host:port allowlist entries

The files handler enabled workload identity on batch-result downloads but never received the
deployment's litellm_params, so a deployment authenticating through a named credential could only
mint from process-wide env vars. It now threads litellm_params through to the auth header the way
the batch retrieve path already does.

LITELLM_ANTHROPIC_WIF_ALLOWED_HOSTS entries written as host:port were read by urlsplit as a scheme,
so the allowlist kept the raw entry while the exchange compared bare hostnames and refused the
gateway. Entries are now parsed as network locations whether or not they carry a scheme.

* fix(types): move the WIF kwargs key sets to a leaf module so the kwargs funnel imports without a cycle

* test(anthropic): pin case-insensitive matching of WIF exchange-host allowlist entries

* fix(anthropic): end workload identity federation errors without a period so the router suffix reads cleanly

* fix(proxy): decrypt stored litellm_params before the WIF write gate

* fix(proxy): hide WIF secret references from /health output

* fix(proxy): keep the proxy error shape on credential endpoint refusals

* fix(proxy): hide identity token file paths from /health output

* fix(anthropic): rename the federation workspace param so Bedrock's anthropic_workspace_id keeps working

The Bedrock Claude Platform route already reads anthropic_workspace_id from
optional_params, so banning that spelling as a server-owned federation
parameter broke a pre-existing client capability. The federation field is now
anthropic_federation_workspace_id (env ANTHROPIC_FEDERATION_WORKSPACE_ID),
which restores the base branch's behavior for Bedrock callers, drops the
Bedrock-specific hint from the refusal message, and deletes the unconditional
ban constant that no longer had a reader

* fix(auth): share one exchanged token across workers reading the same assertion

Anthropic accepts each identity assertion exactly once, so two uvicorn
workers reading the same token file both minting from it means the second
exchange is denied with jti_reused. Minted tokens now land in a per-user
0700 cache directory guarded by a file lock, so workers on the same host
reuse one exchange until the token expires or the assertion rotates. A 401
is only retried when the re-read assertion actually differs, and the denial
hint explains jti_reused. LITELLM_TOKEN_EXCHANGE_CACHE_DIR moves the cache
and an empty value disables it

* fix: keep anthropic federation from being shadowed or leaked

An empty or whitespace-only ANTHROPIC_API_KEY counted as set, so a federated
deployment sent an empty x-api-key on every call instead of minting a token.
Blank values now read as unset, and a real static key on a federated deployment
logs once that it outranks federation and nothing is being federated.

The exchange-host allowlist matched hostnames only, so a second process on
another port of an allowed host was trusted with the workload's identity token.
An entry that names a port now trusts that port alone, while a bare host still
trusts every port.

The shared token store exists so the workers reading one projected token file do
not each spend its single-use jti. A source that mints its own assertion per
exchange shares nothing with another worker, so it no longer writes a live token
to disk for a lookup that can never hit.

* fix: unlink a staged token file a failed write leaves behind

The 401 denial hint now also says federation ignores ANTHROPIC_WORKSPACE_ID, which the Bedrock Claude platform provider already reads.

* refactor: move anthropic jwks derivation behind a provider-owned tagged union

* fix: unlink the staged token file when its write fails at close

A buffered write only reaches the disk when the handle closes, so a full disk surfaces at close and left the staging file behind holding a usable token.

* fix(anthropic): close the staging descriptor before writing the shared token file

* fix(wif): judge federation writes by what they set, not what is stored

The admin gate read the stored deployment, so a team admin lost edit, delete
and Test Connection on any deployment carrying federation params. It now
returns early unless the submitted fields touch the federation surface, and a
Test Connection probe that points the deployment at its own api_base is still
refused, with the 403 no longer wrapped into a 500

The rest of the same review pass: POST /model/new refuses only a blocking
value of `blocked`, so a client that always sends `blocked: false` is not
turned away; a request body can no longer pick which federated identity to
mint as by naming a stored credential; an advisory refresh the executor
refuses disarms the entry instead of wedging the identity until the follower
timeout; the static-key shadow warning resolves its env fallback inside the
cache instead of once per request; credential writes drop nulls before
storing them; the token exchange validates the endpoint URL before reading an
assertion and keeps refusing redirects across a client heal; /health hides
every server-owned federation field from non-admins; and the async create_file
and create_batch paths say which setting is missing when the provider resolves
no URL

* fix(proxy): let a deployment write name a federated credential

reject_federated_credential_reference runs from is_request_body_safe, which
pre_db_read_auth_checks calls on every route, so it also fired on POST
/model/new, /model/update, /model/{id}/update and /health/test_connection. A
proxy admin could no longer attach a federated credential to a deployment over
the API or the Admin UI, leaving a static config.yaml entry as the only way to
configure the feature the rejection told the caller to go configure, and
_reject_non_admin_wif_write never got to make the call it exists to make.

is_request_body_safe now takes the route and skips only the credential-reference
check on the routes that reach can_user_make_model_call. Federation fields typed
inline into a body stay refused everywhere, and a call naming a federated
credential still cannot pick the identity it mints as.

* refactor(proxy): derive health display policy from the federation key sets

The health check module hand-copied the five workload identity fields whose
value is a credential, so a shared proxy surface named provider-specific
parameters and a newly added secret-bearing field would have gone on being
displayed until someone remembered both places

WIF_SECRET_BEARING_KEYS now sits beside the key sets it splits out of,
types/utils derives secret_bearing_wif_litellm_params from it, and the health
layer splats that tuple the same way it already splats the admin-only one

* fix(anthropic_wif): treat blank identity-source fields as unset

* test(proxy): classify the federation params in the credential slot registry

main's registry test (#43298) now fails the build for any credential-named
deployment param without a classification. The five federation fields that
carry a token, a token file path, or a signing or client secret reference are
Unplanted, matching WIF_SECRET_BEARING_KEYS; the four remaining Keycloak
settings name a URL, a client id, an auth method, or a scope and are NotSecret

* fix(anthropic_wif): declare federation params as owned connection leaves and chart their metrics

Register the 18 Anthropic and 3 OpenAI federation params as frozen
ConnectionSettings leaves so the owned-kwarg registry, the kwargs funnel
and the request-body ban list read one declaration. Pass the deployment
api_base through to the count-tokens handler instead of a pre-suffixed
URL, which doubled the /count_tokens path on main's prompt-cache
predictor. Add the five litellm_anthropic_wif_* families to the
all-metrics Grafana dashboard.

* fix(credentials): gate PATCH on WIF fields resolved from model_id

The credential PATCH handler checked server-owned workload identity
federation fields only on the values the caller sent, while a body that
named a deployment through model_id had its credential values resolved
after that check. A non-admin could therefore copy a federated
deployment's WIF fields onto an ordinary credential. Resolve the incoming
values first and run the non-admin gate on them, matching the POST path

* fix(anthropic): count tokens with ANTHROPIC_AUTH_TOKEN through the shared auth header

Count-tokens walked its own credential ladder: a static key, else skip minting when
ANTHROPIC_AUTH_TOKEN is set, else mint a federated token. With only the auth token set it
forwarded nothing and the proxy silently fell back to its local tokenizer while chat on the
same deployment authenticated with that token. The handler now takes the auth header that
AnthropicModelInfo.aget_auth_header resolves, the same ladder chat, files, batches and skills
use, and merges the oauth beta a minted or consumer token carries with the token-counting beta

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: derhornspieler <15236687+derhornspieler@users.noreply.github.com>
Co-authored-by: mateo-berri <happymvw@gmail.com>
2026-10-03 17:08:30 -07:00
devin-ai-integration[bot]
6d8434f940
fix(proxy): return 4xx instead of 500 for missing required params, invalid pagination and unknown ids (#43787)
* fix(proxy): return 400 instead of 500 for missing required params and invalid pagination

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: run search_endpoints tests in proxy-endpoints shard

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): return 4xx for missing required params across all LLM routes and propagate provider status on lookups

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(llm_http_handler): keep provider error text when re-raising mapped errors

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): allow promptless image edits and default search models

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): default missing image edit image to None

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(proxy): build image edit defaults without mutating request data

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): keep image edit defaults within type-discipline budget and give request mocks a scope

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): inject a fake router for the search default model test

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(llms): cover provider error status on vector store and file lookup handlers

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(llms): keep the lookup handler raise block to a single statement

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(llms): cover provider error status on eval, eval run, skill and vector store file content lookups

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(integration): cover missing required body params and provider lookup status codes

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: run tests/unit/proxy/search_endpoints in the proxy-endpoints shard

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(integration): bind spend-row request id with partial to satisfy B023

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): only reject non-positive page_size on vector store list

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): remove unreachable fine-tuning body validation

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(integration): cover streaming anthropic messages reaching the upstream

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(integration): count only provider calls when asserting missing params never reach the upstream

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): preserve merge-base request compatibility

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): preserve interaction completion model defaults

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): retry model read-through before rejecting params a DB-only deployment may default

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: shivam <shivam@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: yucheng <yucheng@berri.ai>
2026-10-02 22:48:53 -07:00
yuneng-jiang
6ca90b927c
test(ci): repair stale tests and flaky CI infrastructure (#43983)
* test(ci): add used_client_oauth_token to the GCS pub/sub spend-log golden

#43063 stamps used_client_oauth_token into spend-log metadata, so
test_async_gcs_pub_sub_v1 failed on main with an extra metadata key

* test(ui): give the auto-router threshold save wait room for the availability debounce

#42625 keeps Save disabled while a 300ms-debounced availability check runs.
This test waits for Save right after the change, so the whole debounce lands
inside waitFor's 1s default and it times out under CI load. It is the
recurring UI Unit Tests failure on main since #42625 landed

* test(e2e): expect no pricing tier on bills for streamed calls OpenAI served at default

#42870 added both the rule that a served default or standard tier bills at
base pricing and records no service_tier, and streamed tests expecting the
row to record 'default'. They have failed on every scheduled litellm-e2e run
since. The tests now map the served tier to the pricing basis the bill must
record and check input is billed at that basis's rate; the messages case
registers custom rates so the rate check has something to compare against

* test(e2e-ui): wait for the call-id search before hovering the logs row

The row the spec hovers is already on the unfiltered first page, so it was
found before the search request returned. The search response then
re-rendered the table under the mouse, and the Base UI tooltip never opened.
Reproduced with Playwright against a local proxy: hovering right after the
fill never shows the tooltip, hovering after the search response shows the
call id every time

* test(e2e): run the Together structured-output case on the hybrid Qwen with reasoning off

The case picked the cheapest Together row flagged supports_response_schema.
DeepSeek-V4-Flash-0731 hit its cost-map deprecation date on 2026-09-29, so the
pick moved to GLM-5.3-Flash, a reasoning-only model that spends the 1024-token
budget thinking and returns content=None. Qwen3.5-9B is the pinned hybrid model
the reasoning_effort=none case already exercises, and Together lists it with
structured output support

* test(integration): read the agent 365 guardrail status by its own name in spend logs

The MCP shard runs under xdist against one database, and a sibling file creates a
default_on pre_mcp_call content filter there. The owned proxy reloads DB guardrails, so
that filter's 'success' entry could land first in guardrail_information and the test
read it instead of the agent 365 verdict

* test(unit): ignore asyncio's leaked-task records in the budget limiter push-failure log check

gc.collect() inside the caplog window can collect a pending task an earlier test left
on a closed loop, and asyncio logs 'Task was destroyed but it is pending' into this
test's records. The check still counts every LiteLLM logger, and unretrieved task
exceptions on this loop still go through the asserted exception handler

* test(e2e-ui): fill the create-tag fields inside the dialog

#42949 added 'Filter by tag name' and 'Filter by description' inputs to the Tag
Management page, so page-wide getByLabel('Tag Name') and getByLabel('Description')
match two elements and Playwright's strict mode fails the create step

* test(integration): run integration proxies with the CI license

Multi-worker proxies start each uvicorn worker in a fresh process, so every
worker reads the license from its environment. Forward LITELLM_LICENSE into the
proxy and test runner environments

* ci: save GitHub Actions caches only from main and bump codecov-action to 5.5.5

Every pull request saved its own uv, maturin, Rust and Prisma caches, about
4.5 GB per PR, so the repository's 10 GB cache budget evicted main's entries
within minutes. Pull request jobs then missed every cache, downloaded all
dependencies from PyPI and hit the install step timeouts. Pull requests now
restore only, and main keeps the caches warm for them. test-linting and
check-ui-api-types run only on pull requests and keep saving

codecov-action 5.5.4 imports its signing key from the deleted codecovsecurity
keybase account, so every upload failed signature verification. 5.5.5 reads it
from codecovsecops; the key ID matches the one signing the current CLI

* test(unit): join the session-minting thread before collecting the handler

asyncio.to_thread resumes the test as soon as the worker sets its result,
while the pool thread can still hold the work item and through it the
handler. gc.collect() then cannot finalize the handler and the session stays
open. A pool that shuts down before the test continues drops that reference

* test(integration): relaunch owned proxies that lose their port, expire idle gateway connections early

owned_proxy_process released its reserved port and the proxy bound it only
after full startup, so another xdist worker or an outgoing connection could
take it first and the proxy exited with 'address already in use'. The launch
now retries on a fresh port when that happens and stops every failed attempt.

uvicorn closes idle keep-alive connections after 5 seconds and httpx expired
them at the same 5 seconds, so a request sent right at that mark could reuse a
socket the server was closing and get 'Connection reset by peer'. Gateway
clients now drop idle connections after 2 seconds

* ci(circleci): give the base SDK wheel build the same 30 minute no-output window as the Windows build

The release profile builds with fat LTO and one codegen unit, so the final
link of litellm-cache-s3 runs silently for minutes. Successful builds take
711 to 749 seconds, right at the default 10 minute no-output limit, and about
30% of recent runs were killed there

* test(integration): model the budget-reset database outage as 10 seconds instead of 5 refused connections

The proxy retries the database about every 30 seconds and each retry opens
roughly one connection, so a 5-connection outage took 3 to 4 retries to clear
and recovery landed between 60 and 90 seconds, straddling the test's 80 second
reset window. A fixed 10 second outage still refuses the immediate reconnect
and recovers on the next retry

* ci: move the unit-test uv cache split into a composite action

check_workflow_startup_safety sums every setup step's timeout, so the save and
restore variants each counted 5 minutes although only one runs. One composite
step keeps the setup ceiling at 35 minutes

* test(unit): point tiktoken at the bundled cache for every unit test

The rust_bridge tokenizer tests loaded o200k_base before any test in their
xdist worker had imported default_encoding, so tiktoken fell back to the
temp cache and tried to download under pytest-socket. Move the session
fixture from litellm_core_utils/conftest.py to the root unit conftest.

* test(integration): answer model discovery probes in the hosted_vllm wire tests

The router's periodic upstream model info refresh sends GET /v1/models to
hosted_vllm deployments, so a wire server that is live during a refresh
sees an extra request. Answer the probe with an empty model list and leave
it out of the provider-call assertions, matching the responses bridge
tests.
2026-10-01 17:46:43 +00:00
yuneng-jiang
37be82e45e
test(unit): stop test modules from putting their own directory on sys.path (#43421)
test_ssl_verify_unit.py inserted tests/unit at the front of sys.path, so any later import of litellm_proxy_extras resolved to the tests/unit/litellm_proxy_extras test package. Whenever the CircleCI shard split collected that file before test_litellm_proxy_extras_logging.py, collection failed with ModuleNotFoundError. test_gemini_session_leak.py had the same insert for its own directory
2026-09-28 12:20:20 -07:00
devin-ai-integration[bot]
69ad004015
refactor(anthropic): rename experimental_pass_through to pass_through (#43329)
* refactor(anthropic): rename experimental_pass_through to pass_through

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(anthropic): point compact patch targets at renamed pass_through path

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-26 13:00:50 -07:00
yuneng-jiang
5e6dc89ba1
test: move tests/test_litellm/llms into tests/unit/llms (#43191)
* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: rename fork-flag to unit-flag now that it applies on every event

* test: move tests/test_litellm root and small trees into tests/unit

Pure renames, no content changes. Follow-up commits in this PR fix
references, merge the three files that already existed in tests/unit,
keep live-provider tests in tests/test_litellm and wire CI.

* test: carry tests/test_litellm conftest isolation into tests/unit

Callback lists, routing fallbacks, cached HTTP clients, logger state, AWS,
proxy-URL and keychain env, and session-end client cleanup now reset for
unit tests too. The environment isolation owns its MonkeyPatch so a test's
own monkeypatch is undone before the model-cost teardown runs.

* test: merge, split and prune the moved root and small-tree tests

Merge batches/test_batch_utils.py and the chat_completions and messages
dispatch tests into the files that already existed in tests/unit. Keep
the live Gemini interactions tests, the async image-fetch format test and
the OpenAI embedding scorer test in tests/test_litellm since they need
real network or keys. Put test_router.py under tests/unit/test_router so
the existing package no longer shadows it. Delete eight tests the audit
found superseded by stronger ones kept in this move.

* ci: run the moved root and small-tree tests under their legacy flags

Add the misc and responses-caching-types flags to unit_selection.sh and
CircleCI, extend enterprise-routing and mcp-integration, and point the
legacy GHA shards, Makefile, redis-compat workflow, merge smoke manifest
and change classifier at the new paths.

* test: make the new tests/unit directories packages

tests/unit/test_package_layout.py requires every directory to carry an
__init__.py, and without one the moved and retained
test_litellm_responses_bridge.py modules collide on import.

* test: scope the unit socket block to tests/unit in shared sessions

The GHA shards collect the legacy test-path and the unit selection in one
pytest session. The unit conftest's loopback-only block leaked into legacy
modules that reach the network at import. The legacy conftest now lifts the
restriction at collect and setup time, and the unit conftest re-applies it
when collecting its own modules.

* test: move tests/test_litellm/llms into tests/unit/llms

Rename-only. Moves the provider tests and the fine-tuning fixtures they
load, mirroring the old paths. Follow-up commits merge, split and wire them.

* test: merge, split and prune the moved llms tests

Merges the Databricks chat transformation tests into the existing unit
file, keeps the tests that need real keys or the network in
tests/test_litellm, deletes the audited tests a stronger unit test
already covers, and points imports at tests.unit.llms.

* ci: run the moved llms tests under their legacy flags

The Vertex AI and All Other Providers shards keep their legacy test-path
for the retained files and add the llm-vertex-ai and llm-other-providers
unit selections. CircleCI gets matching unit jobs.

* test: make the tests/unit/llms directories packages

Adds __init__.py to the moved dirs and drops the legacy ones whose
directories no longer hold tests.

* test: drop script runners and path hacks the llms split left dangling

The __main__ runners in the split openai_like files and the Databricks e2e
runner called tests that now live in the other half of the split or were
deleted. The retained legacy halves also no longer need sys.path edits.

* test: give the shard-script tests their own GITHUB_OUTPUT

They only passed where the runner set it. The CircleCI unit job's env
allowlist drops it, so the script's redirect failed there.

* test: point the router and module-deletion checks at tests/unit

router_code_coverage and code_qa_check_tests only searched tests/test_litellm,
so the moved router tests no longer counted. The two silent-experiment tests
the audit deleted were the only direct callers of those methods; they are
replaced with tests that assert the forwarded shadow request and the
recursion guard.

* test: keep the Databricks manual e2e runner and fix the SageMaker Nova run path

The Databricks e2e file is a manual script whose main() calls the tests
that were pruned, so pruning them broke the documented run. It is back to
its main version. The SageMaker Nova docstring now points at the file's
real location in tests/local_testing.

* test: keep the job's UNIT_FLAG out of the shard-script tests

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-25 12:43:23 -07:00