mirror of
https://github.com/BerriAI/litellm.git
synced 2026-11-03 07:23:33 +00:00
44 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
|
|
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> |
||
|
|
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> |
||
|
|
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 |
||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
6e33d7e84b
|
fix(anthropic-messages): merge deployment and client anthropic-beta instead of overwriting (#48594) | ||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
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 |
||
|
|
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> |
||
|
|
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> |
||
|
|
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 |
||
|
|
4b1928387f
|
test(bedrock): detect Vault reads on the event-loop thread (#47597) | ||
|
|
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 |
||
|
|
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> |
||
|
|
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. |
||
|
|
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> |
||
|
|
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> |
||
|
|
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
|
||
|
|
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> |
||
|
|
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
|
||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
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
|
||
|
|
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> |
||
|
|
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> |
||
|
|
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 |
||
|
|
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. |
||
|
|
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> |
||
|
|
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> |
||
|
|
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> |
||
|
|
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. |
||
|
|
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 |
||
|
|
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> |
||
|
|
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> |