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383 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Mateo Wang
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9fbeebc988
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feat(extraction): add /v1/extraction with Cloudflare Clairic support (#47473)
* feat(extraction): add Clairic extraction types and Cloudflare provider config * feat(extraction): add the /v1/extraction route, router wiring, and Clairic billing * fix(extraction): refuse or drop stream, pass unknown keys, run guardrails, keep the requested model name Clairic does not stream, so stream=true answers 400 and is dropped and billed under drop_params. Keys LiteLLM does not know pass through to Cloudflare. Guardrails scan state, field instructions and text answers. Frozen decision and extraction responses now carry the requested model name. List fields must name their item type. /health/test_connection and the Add Model page accept the extraction mode. * fix(extraction): keep upstream model names on decisions, scan images, keep typed values, refuse OpenAI params Scope the frozen-response model stamp to extraction so /v1/decisions and /v1/systemone return the upstream name as on main. Pass request images to guardrails as data URLs and drop answer spans when a response guardrail rewrites state_text. Field spec values keep their JSON type, so a wrong type answers 400 instead of being coerced. OpenAI generation params answer 400 unless drop_params. The Model Hub shows a /v1/extraction snippet for extraction models. * fix(extraction): send only Clairic's request fields, count extraction tokens, keep typed answers typed, drop spans a request guardrail made stale, and honor --max_tokens * fix(extraction): scan number answers in response guardrails, rewrite guardrail fields in linear time, and leave --max_tokens as on main * fix(extraction): scan float answers as whole numbers so fraction digits never trip a response guardrail * fix(extraction): round only mean and median for response guardrails so fractional values keep their decimal text * fix(extraction): count state and fields for budget reservations and scan estimate quantiles in response guardrails * fix(extraction): send each repeated text to guardrails once and keep the context-window budget reservation * test(extraction): type request_data in the guardrail test helpers |
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Kerry Lu
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f0ae445cc4
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fix(proxy): bill partial Responses API streams when the client disconnects (#47611)
* fix(proxy): bill partial Responses API streams when the client disconnects Streamed /v1/responses requests and the default-route OpenAI and Azure /v1/messages requests behind them logged a 499 with zero spend when the client went away mid-stream, while /v1/chat/completions already billed the chunks it had sent. The Responses API iterator now keeps the response.created payload and can hand the disconnect cleanup a response.incomplete event with counted usage and the served service_tier, and the messages-route byte stream and router wrappers delegate to it. * fix(proxy): satisfy lint gates for partial Responses API disconnect billing Make the disconnect helper public so the proxy, router and messages adapter can import it without reportPrivateUsage, type the SSE byte stream as an AsyncGenerator so aclose is known, read litellm_call_id off the logging object, and keep the new tests on Final locals with the recorder injected through dynamic_async_success_callbacks instead of litellm.callbacks. * fix(router): bill the primary stream's tokens after a mid-stream hop and chat-bridge Responses streams on disconnect The router's fallback wrapper now folds the primary Responses stream's relayed tokens into the fallback's disconnect event the way _combine_responses_fallback_usage does for a natural end of stream, and LiteLLMCompletionStreamingIterator (chat-only providers served through /v1/responses) builds its disconnect event from the chat completion chunks it collected. stamp_responses_usage_cost is now public so the bridge module can price that event. * Potential fix for pull request finding 'CodeQL / Log Injection' Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com> --------- Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com> |
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Yassin Kortam
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6f66b7a201
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feat(proxy)!: personal keys inherit MCP server, MCP tool and agent access from the owner's teams (#46293)
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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Mateo Wang
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68a8b12ab3
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fix(proxy)!: end a chat completions stream with an error event when a guardrail blocks mid-stream (#46953)
* fix(proxy): end a chat completions stream with an error event when a guardrail blocks mid-stream A streaming guardrail that raised an HTTPException after the first chunk re-raised it inside the SSE generator, so the 200 body was cut off with no finish_reason, no error event and no [DONE]. Build the error frame through sse_error_payload instead, keeping the status, message and structured detail, and encode values JSON cannot represent as strings so the frame always goes out. * fix(proxy): keep early guardrail blocks on their HTTP status and end mid-stream errors with [DONE] A guardrail block before the first chunk is raised again, so its response stays the 400 event-stream body it is on main. A mid-stream error event now carries the failure hook's replacement error when one is returned, is followed by data: [DONE] on OpenAI-format streams, and leaves the Gemini route's raise unchanged. Error details JSON cannot encode are written as strings instead of breaking the event. * fix(proxy): keep a per-chunk guardrail block on the first chunk on its event-stream 400 * fix(proxy): treat a keepalive ping as a started stream so a later guardrail block ends in-band * fix(proxy): encode non-JSON guardrail details in early stream error frames An early guardrail block whose detail holds a value JSON cannot encode sent 400 headers and then cut the body. The error frame now writes such a value as its string form, the same as the mid-stream event. The keepalive test now runs on a virtual clock instead of real sleeps. * fix(proxy): show an in-band stream error event as an error in the CLI, Python client, and dashboard playgrounds ChatClient.completions_stream raises StreamError on a data frame carrying an error, so litellm-proxy chat prints the block reason and keeps the partial reply out of history. The prompt playground and the Interactions playground read the same frame through a shared streamErrorMessage helper. Adds the audit's integration cells for chat stream error events, and makes the endpoint tests' failure-hook mocks return None so they check the real error payload. * fix(proxy): print stream error text verbatim in the CLI and read split error events in the prompt playground The CLI printed the server's error message as Rich markup, so a closing tag like [/pii] in a guardrail message crashed lite chat. The prompt playground now buffers partial lines across reads, ChatClient raises only on a non-empty error, StreamError redacts keys like the other client exceptions, and StreamError is exported from litellm.proxy.client * fix(proxy): print CLI stream errors without Rich highlighting or emoji codes * test(proxy): cover the CLI's plain-text 400 error print * test(proxy): annotate the new client stream test locals as Final * fix(proxy): send the failure hook replacement on Responses streams and before the first chunk * fix(proxy): end a Responses stream with response.failed when it fails on a built-in exception * fix(proxy): keep a failure hook replacement before the first chunk in-band so bare stream routes still answer it A non-HTTP failure whose hook returns an HTTP error was raised before the first chunk, which create_response turned into the hook's status but which a bare StreamingResponse route such as /queue/chat/completions answered as a 200 with zero bytes. Only the original HTTP errors raise now. The replacement goes out as the stream's error event, which create_response still answers with the hook's status as a JSON error. Adds audit round 2's integration cells for failure hook replacements on chat and Responses streams, built-in exceptions on Responses streams, and the Python client. * test(proxy): cover a queue stream whose failure hook replaces a failure before the first chunk The audit cell posts to /queue/chat/completions with a callback that raises before the first chunk and a failure hook that answers 403. It checks for a 200 event stream whose only event is the replacement, then one [DONE], with the callback's own message absent |
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devin-ai-integration[bot]
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8226b2be9a
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fix(otel): report cache hits at zero cost with a cache-hit flag in V1 and V2 spans (#43604)
* fix(litellm): report zero cost and cache-hit attrs on cache-served spans
* fix(litellm): stamp cache-hit marker on HiddenParams carriers and restore probe side effects
gauntlet-mini on
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yucheng-berri
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9f115be88d
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fix(bedrock)!: scan Claude invoke-with-response-stream passthrough output with post_call guardrails (#46524)
* fix(bedrock): scan Claude invoke-with-response-stream passthrough frames with post_call guardrails (LIT-9618) Invoke streams of Claude models now go through the same frame-by-frame relay as converse-stream. Each chunk frame's Anthropic event is scanned by the /v1/messages stream translation, a block ends the stream with an AWS exception frame, and a held stream gets its masks written back into re-encoded chunk frames. Claude is told by its model id or, behind an application inference profile, by the anthropic_version its request body carries. Streams of other model families stay as they were * test(bedrock): cover invoke stream vendor outage, upstream exception and release on scan (LIT-9618) * fix(bedrock): hold Claude invoke streams for guardrails the relay cannot run and mark each scan as streaming (LIT-9618) A guardrail released on scan or run in parallel left a Claude invoke-with-response-stream unscanned, while converse-stream holds the whole stream and scans it once. Claude invoke streams now take the same buffered path, with the rewrites written back into the chunk frames that carried each text. Each invoke scan also sends stream true and the events relayed so far as responses, as /v1/messages does, so a vendor can tie the scans of one streamed reply together. * refactor(bedrock): mark the request dicts the buffered stream paths hand to post_call hooks (LIT-9618) * fix(bedrock): scan a Claude invoke stream the upstream breaks off as a finished stream (LIT-9618) An invoke stream that ended on an upstream exception, without a message_delta stop_reason, was scanned as still in flight, so its tool input never reached the guardrail and a held stream released it unscanned. The scan and its scan key now close such a stream the way converse-stream treats the end of its upstream. * test(bedrock): pass the converse-stream endpoint where the tool call without input test frames its stream (LIT-9618) * test(bedrock): expect the ValidationException main now returns when a guardrail blocks a Claude invoke stream before its first frame (LIT-9618) * test(bedrock): type the Claude invoke event helpers in the passthrough guardrail tests * test(bedrock): type the remaining parameters of the Claude invoke stream tests * refactor(bedrock): bind the buffered invoke rewrite in its condition --------- Co-authored-by: yucheng-berri <293926326+yucheng-berri@users.noreply.github.com> |
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yucheng-berri
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ef1cb19351
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fix(bedrock)!: stream Converse passthrough frames through post_call guardrails instead of buffering (#46307)
* test(integration): Converse stream post_call guardrail relays frames as they arrive (LIT-9515) * fix(bedrock): stream Converse passthrough frames through post_call guardrails instead of buffering (LIT-9515) A post_call guardrail that scans through apply_guardrail now runs on /bedrock/.../converse-stream the way it runs on /v1/messages: frames reach the caller as the upstream sends them, every fifth frame and the end of the stream are scanned, and a block after the first frame ends the stream with an AWS exception frame. streaming_buffer_until_moderated still holds the stream and applies masks per content block. Guardrails that need the whole response (own async_post_call_success_hook, mask_response_content, native hooks, policy pipelines) keep the buffered path. * fix(bedrock): apply held Converse stream masks when the upstream ends with an exception frame (LIT-9515) * fix(proxy): log a relayed passthrough stream's spend before its mid-stream failure hook (LIT-9515) * fix(bedrock): close and report every way a relayed Converse stream ends (LIT-9515) - The framer ends the stream with an empty item once the upstream closes, so held masks are applied whether the upstream ends with messageStop, an exception or error frame, or a dropped connection - A guardrail HTTPException after the first frame reaches the relay, which logs the stream's spend, runs the failure hook and ends the stream with the exception frame, instead of ending inside the guardrail with no failure row - A failure before the first frame waits for the stream's spend to be logged, as a mid-stream failure does - Closing the response before its body starts closes the guardrail layers and the upstream - Each stacked guardrail layer gets its own copy of every frame, so an earlier layer's end-of-stream rewrite never reaches frames a later layer still holds - Deltas whose text ends in half a surrogate pair are decoded with the standard JSON parser * fix(bedrock): relay a Converse frame whose payload is not UTF-8 instead of ending the stream (LIT-9515) * test(integration): cover Converse stream relay failure, end-of-stream-only, stacked, disconnect and burst cells (LIT-9515) * fix(bedrock): estimate prompt tokens for a passthrough stream cut before Bedrock reports usage (LIT-9515) Bedrock sends usage only in the last frame of a stream, so a stream ended by a guardrail block or a client disconnect logged 0 prompt tokens while AWS still charges for the prompt. The stream collector now estimates them from the request the way chat completions streams do * fix(bedrock): read tool result blocks without recursion in the passthrough prompt estimate (LIT-9515) * fix(passthrough): keep the spend flush running when the wait for it is cancelled (LIT-9515) * fix(bedrock): keep a converse-stream buffered when its guardrail releases a held stream on scan (LIT-9515) A held post_call guardrail with streaming_buffer_release_on_scan releases each window as received once its scan passes, so the relay delivered the original text instead of the guardrail's masks. Such a stream keeps the buffered path, which applies masks per content block as on main. * fix(bedrock): keep a converse-stream buffered when a post_call guardrail runs in parallel (LIT-9515) The relay ran every guardrail in config order, so a run_in_parallel guardrail listed before a masking guardrail scanned the unmasked text. Main's buffered path runs parallel guardrails after the sequential ones and discards their rewrites, which the relay cannot reproduce, so these streams stay buffered * fix(bedrock): mark Noma v2 relay scans like chat and stop reading Bedrock when a held stream's client leaves - Noma v2 scans on the converse-stream relay carry stream, and the last one carries the finished Converse response with its stopReason, as chat sends them, so Noma keeps one record per reply. Other guardrails get the request unchanged. When the last sampled scan already covered the whole answer, the end-of-stream scan still runs for Noma so it gets the finished answer - A held relay stream whose client leaves before the first frame stops reading Bedrock and returns 499, like chat. When Bedrock sent nothing yet, the budget reservation and the parallel-request slot are released - A cancelled wait for the first streamed chunk now stops the upstream read instead of leaving it running - A Noma v2 scan cancelled before Noma answers records not_run instead of success with an empty response * fix(bedrock): send Noma the finished Converse reply's tool calls and reasoning as Converse blocks * fix(bedrock): give Noma the ended scan of a Converse reply that only calls a tool without input * test(bedrock): expect the ValidationException main now returns for a held block before the first frame Main's AWS-shaped passthrough errors (#46522) answer a guardrail block before the first frame with x-amzn-errortype ValidationException, so boto3 reads the code and the guardrail message instead of a bare 400. * fix(bedrock): keep held masks when an earlier sampled guardrail ends the Converse stream with its message A sampled guardrail that blocks with disable_exception_on_block ends the stream with its message as raw event-stream bytes. A held guardrail after it on the same key only read frame objects, so it never saw the messageStop, skipped its write-back and released the held text without its masks. The Converse handler now reads those bytes back into frames, so the held guardrail sees the end of the message and masks the text * fix(proxy): free the parallel slot when a caller leaves a Converse relay holding part of the first frame The relay skipped releasing the slot and budget reservation whenever a spend flush was scheduled, but a flush of a partial first frame builds no response and logs nothing, so the slot stayed held until it expired. The flush now says whether it logged the stream. --------- Co-authored-by: yucheng-berri <293926326+yucheng-berri@users.noreply.github.com> |
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jesus-berri
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7f603da9f1
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fix(openai_like)!: surface provider response headers on non-streaming chat completions (#46928)
* fix(openai_like): surface provider response headers on non-streaming chat completions Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(openai_like): mark the header test locals Final * fix(proxy): leave out response header values HTTP cannot carry Non-streaming OpenAI-like chat now forwards every provider header, so on the httpx transport a provider header value outside latin-1 made the proxy answer 500 after the provider had served the call. get_custom_headers now leaves such a value out and keeps the other headers, which also ends the same 500 on streaming Adds integration cells for the provider request id on non-streaming chat and the Responses bridge, LiteLLM headers an upstream cannot overwrite, spend parity under an upstream cost header, the latin-1 case, and the logging callback payload * fix(cost): ignore an upstream response cost header that is negative or not a number * test(integration): cover invalid upstream cost headers and non-latin-1 headers on every endpoint * fix(prometheus): keep deployment metrics when a provider rate-limit header is not a number * test(prometheus): type the rate-limit header test and drop its clock reads * test(integration): cover deployment metrics under an unparseable provider rate-limit header --------- 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> |
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Mateo Wang
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d76ec3a47e
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fix(proxy)!: answer 400 for malformed tools on count_tokens instead of crashing (#46583)
* fix(proxy): answer 400 for malformed tools on count_tokens instead of crashing A non-list tools value crashed the vector store lookup during auth and the built-in tool cost lookup in the failure logging path, so the proxy answered an unhandled 500 and closed the keep-alive connection. count_tokens now answers a 400 invalid_request_error for a malformed body, drops malformed tools when drop_params is on, and both lookups skip values of the wrong shape. * fix(proxy): skip non-list tools in the tool allowlist check Also validate the count_tokens body without recursion, which the recursion detector rejects. * test(integration): restore the int tools case on count_tokens The proxy now answers a non-list tools value with a 400, so the case is deterministic again. * fix(proxy): reject malformed tools at the LLM route entry and keep vector store checks on malformed ids * fix(proxy): apply drop_params like core when dropping malformed tools, and reject malformed tool vector store ids Check tools after request setup so the Claude Code default and the logged call type apply, read the request, global, and model group drop_params the way core does, drop tool_choice and friends with tools, cover Gemini generateContent, and answer 400 for a malformed tools[].vector_store_ids with the strict flag off * fix(proxy): keep the request's call type when logging a gate rejection after request setup The body-shape fallback relabeled a /v1/messages rejection as acompletion and a list-input /v1/responses rejection as aembedding, so it now only applies when the logging object carries no known call type * fix(proxy): share the malformed tools check across tool routes and honor drop_params per entry * fix(proxy): accept null vector_store_ids, read every named store id in auth, check the responses websocket * refactor(proxy): leave the responses websocket out of the request-level tool check * fix(proxy): let a request's additional_drop_params replace the deployment list and keep compact's call type on rejections * fix(proxy): read router default drop lists and deployment ids in the malformed tools check * fix(proxy): leave malformed tools to the router when it can pick another deployment Fallbacks, auto-routers, model strings, comma batches and team model names let the router pick a deployment after the proxy checks the request, so the proxy now forwards a malformed tools field there as main does, and only rejects it when the deployment it checks is the one that serves. Token counting never reroutes, so count_tokens and input_tokens keep reading the group they count with. additional_drop_params names are read the way core reads them, so a list with a non-string entry still names its strings. * test(integration): cover malformed tools on reroutable models, router defaults and deployment ids * fix(proxy): resolve malformed tools at the deployment the router picks * fix(proxy): keep provider-repaired tool schemas, honor fallback_on_unsupported_params, skip cooldown on malformed tools Empty schemas and JSON-string schemas pass the tools check the way litellm's provider paths already read them. The rejection is a BadRequestError subclass carrying the deployment's provider, so fallback_on_unsupported_params: false keeps the 400, and the router never cools a deployment down for a request litellm rejected before calling it. Adds the audit's pre_call guardrail and cross-provider bridge cells. * test(integration): expect a 400 for an empty-string tools field on /v1/messages Real Anthropic rejects tools "" with a 400 on main too, so the case joins the malformed tools test * fix(router): keep web search routing for tools passed as a tuple * fix(router): keep a deployment's own tools when drop_params drops a malformed request tools * test(router): list _merged_tools as covered through the deployment tools merge tests * fix(router): drop the request's tool settings with its malformed tools when deployment tools replace them * fix(router): skip a tool whose type is not a string in the web search filter instead of raising TypeError * fix(prometheus): keep deployment health metrics clean on a malformed tools rejection * test: type the new malformed tools tests * test: mark new test locals Final and type kwargs dicts |
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Mateo Wang
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130699ca23
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refactor(typing): clear 1143 basedpyright Any errors across 273 files (#46574)
* refactor(typing): narrow Any sources in proxy, guardrails, bedrock and responses code Turns untyped json.loads, response.json(), header lookups and forwarded kwargs into object or precise types at their source, so downstream code type-checks without reportAny / reportExplicitAny. No runtime behavior changes. * refactor(typing): narrow Any sources in caching, MCP, providers and proxy request code Decoded JSON, cache reads and header lookups now enter as object or precise types, prisma tables used by the shadow-eval logger get typed Protocol views, and a few SDK parameters move from dict[str, Any] to Mapping[str, object]. No runtime behavior changes. * refactor(typing): narrow Any sources in proxy server, router, logging and shared utils * refactor(typing): narrow Any sources in provider transformations, integrations and proxy endpoints * refactor(typing): narrow Any sources across providers, proxy and router Deepens the Any cleanup on the hottest files: typed helpers in core_helpers for attribute and item access, identity TypeAdapter(object) wraps at untyped boundaries, explicit return annotations on shared provider and proxy helpers, and Protocols in place of Any parameters. No intended behavior change. |
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devin-ai-integration[bot]
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fbc2e358bc
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fix(responses): bill a background response once, on the first read or poll that sees it finished (#45703)
* fix(responses): bill a background response once, from the poll job
Reading a completed background response with GET /v1/responses/{id} wrote a
full-cost spend row on every read, on top of the row the background cost poll
writes. Reads of a Responses object (GET, DELETE, cancel) now never bill, and
the poll job is the single biller.
The poll job now bills with the creating request's attribution (key hash, team,
org, user, aliases, tags) read off the managed object row, through a helper it
shares with the batch cost poll. The background create persists the creating
key and request tags so that attribution survives until the poll runs.
* test(proxy): a background response read reports zero cost
* fix(responses): bill a background response once, on the first read or poll that sees it finished
A conditional update moves the stored row out of queued or in_progress so only one worker or pod bills it, through one re-read stamped with the creator's attribution. A failed billing read puts the row back for the next poll
* fix(responses): keep the caller's response id out of the billing failure warning
* fix(responses): keep the creating client's User-Agent tags on the one background charge
* fix(responses): keep managed background reads free and bill each response once
The managed files hook marks reads and cancels of proxy-issued response ids, so only those stay free. SDK and database-less reads of a background response still bill, extra_body background creates are tracked, and the poll's status read no longer cools down a deployment on a 404.
* fix(responses): bill finished background responses from the fetched body and store rows Postgres accepts
* fix(responses): give the background billing event its own spend log row and bill responses the create left untracked
* fix(responses): narrow the managed files hook with a protocol instead of an enterprise import
* fix(responses): leave a read the caller retargets with client-side credentials to the cost poll
* fix(responses): bill background responses on the creator's end user and report the charge on the settling read
The read that settles the bill returns the charge in x-litellm-response-cost, the billed event
carries the creator's end user and the key, team, and user budget fields, and its spend row is
named after the id the client got. Override reads, cancels, and deletes settle from the
configured deployment, a streamed create marks its row billed, stored rows keep no model
output, and model insights counts the billed row's spend without a request.
* test(responses): cover background response billing across proxies, reads and chaos
* fix(responses): settle background billing only for callers allowed to address the response
A delete now settles the bill only after the response id access check passes, a streamed
create is marked billed when it sets background inside extra_body or its completed event
arrives after the last chunk, the billing event keeps the deployment's litellm_params
base_model, a key with no user and no team bills no user instead of its owner scope, and the
enterprise cost check import is optional
* fix(responses): record the bound on the pending status IN filters
* fix(responses): send the billed cost split on the settling read and keep the batch cost event as it was
The read that settles a background response now sends the whole cost header
family from the billed event, so the breakdown headers add up to the charge.
Batch cost events go back to main's attribution (creator id as the user, no
budget fields); only background responses get the end user and budgets.
Integration tests expect the charge on the settling read (or none when the
poll billed first), one charge for a streamed create, and SDK flows that poll
with the id each read returns.
* fix(responses): bill each background response once across upgrades, streams, and failed settles
Rows stored before this billing model are found by the issued id and rekeyed by the
provider id, and the cost poll retires one a read already billed. A streamed background
create is free on its own and bills the finished response through the same managed row
before the client sees response.completed, so a racing read cannot bill it again. A
settle that fails retries in the background, a retargeted read with no row tracks and
bills from the configured deployment, and a delete keeps its billed cost header.
Reverts the unrelated json.dumps narrowing in the completion transformation.
* fix(responses): bill cache-polled background streams and match poll rows by the issued id
* test(responses): cover deletes, failed settles, budgets, base models, and cache-polled background billing
Adds integration cells for the background response billing paths the audit
inventory lists: a DELETE that settles the bill and refuses a stranger, a
settle the database refuses that retries once it recovers, the Prometheus
remaining budget, base_model pricing from model_info and litellm_params, the
daily model usage rollup, the end user, the settling read's cost split, stored
rows without model output, a forged managed marker on the create, streamed
creates with background in extra_body, and the cache-polled create
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
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devin-ai-integration[bot]
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17f621e116
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fix(vertex_ai): route Model Garden models through the generateContent adapter (#41836)
* fix(vertex_ai): route Model Garden models through the generateContent adapter Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(vertex_ai): annotate generateContent route test parameters Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(vertex_ai): type litellm_params in get_vertex_ai_model_route * fix(vertex_ai): bill and log Model Garden generateContent calls like chat completions Streamed Model Garden calls through the generateContent adapter now request stream usage where the deployment supports it, keep cached-token details, and look up the provider-relative cost key, so they bill like the non-stream call. The adapter forwards router metadata, passes upstream errors through with their status, countTokens falls back to local counting for non-Gemini routes, and the native Gemini config is limited to the Gemini routes. * fix(google_genai): keep adapter stream usage, admin opt-out, single failure count, and base_model routing Streamed generateContent through the chat adapter now ends with the upstream usage, honors always_include_stream_usage false and the caller's stream_options, counts one failure per failed call, and routes Vertex deployments by their base_model like chat does * fix(google_genai): ask for stream usage on every adapter stream so Claude streams end with usage * test(google_genai): expect the trailing usage chunk on bridged OpenAI streams The OpenAI bridge test now sends the usage chunk OpenAI returns for include_usage and expects it translated into usageMetadata. The response_format support helper goes back to its single-purpose form since its only other caller is gone. * fix(google_genai): end adapter streams with one STOP event carrying usage, and keep upstream usage after the finish chunk * fix(google_genai): send the held STOP event when no usage arrives, keep a caller's stream_options, and route countTokens like generateContent * test(integration): cover the moved Vertex routes, adapter stream usage, the shared iterator and usage settings over the wire * test(integration): add cache-hit twins for the stream usage setting and non-stream cells for every iterator member --------- 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> |
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devin-ai-integration[bot]
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2d4472efc1
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fix(vllm): write spend log rows for /vllm passthrough calls to router models (#45733)
* fix(vllm): write spend log rows for /vllm passthrough calls to router models The vLLM passthrough config never built a logged response for relayed calls, so stream and non-stream calls through /vllm with a router model wrote no spend row and never charged the key. vLLM now shares the OpenAI-shaped relay logging that Azure already had, moved into an openai_like helper both configs call. * ci: run the vllm passthrough unit tests in the llms-providers shard * fix(proxy): log /vllm text completions and ask router models for stream usage A chat stream relayed to a router model without stream_options now gets include_usage added on the way out, and the usage chunk vLLM appends is removed before the client sees it, so the spend row carries vLLM's own token counts instead of a local estimate. /vllm/completions calls now write a row too, stream and non-stream. * fix(vllm): keep usage, fingerprints, and disconnect rows correct on /vllm streams Inject and strip stream usage on /vllm/completions too, hold every finish frame for the fingerprint when n > 1, pass a forced-usage server's stream through untouched, stop turning continuous_usage_stats alone into per-chunk usage, close the upstream when the client hangs up so the row is written, and assemble text choices with one sort instead of a scan per choice * fix(vllm): keep n>1 stream order when holding finish chunks for the fingerprint A held finish chunk now goes out as soon as any other chunk arrives, so a choice that finishes while another still streams keeps its place. Only the finish chunks right before the usage chunk get vLLM's system_fingerprint. * fix(vllm): keep caller stream_options and log both success handlers Forward a stream_options the proxy cannot read, or a non-boolean include_usage, to vLLM as the caller sent it. Only a false always_include_stream_usage changes the /vllm relay, so clients get the same stream bytes under every setting. Record the passthrough origin when logging starts so the sync and async success handlers both parse the relayed body, hand callbacks a parsed text completion, and read relayed messages and prompt separately so a stray field no longer drops the local count. Add the audit's integration tests for the relay, the settings, and the Azure spend row. * test(vllm): expect the caller's stream under always_include_stream_usage true * fix(vllm): relay long SSE frames in linear time * test(vllm): time the relay's usage and finish_reason prefilter on one large frame --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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|
Rick
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4f3cb48dc1
|
feat(dashscope): add Wan 3.0, Wan 2.7 and HappyHorse video generation via /v1/videos (#43706)
* feat(dashscope): add Wan 3.0, Wan 2.7 and HappyHorse video generation via /v1/videos
DashScopeVideoConfig maps litellm's OpenAI Videos API onto Alibaba Model
Studio's async task API: create hits
/api/v1/services/aigc/video-generation/video-synthesis and status and content
poll /api/v1/tasks/{task_id}. It is registered for dashscope and for the
qwencloud and qwen_ai_platform brand aliases, following the same
get_dashscope_family_*_config pattern image generation uses. Unlike the
Sora-shaped providers the request body is nested, so prompt and media go under
input and everything else goes under parameters. X-DashScope-Async is always
sent, because DashScope rejects the call outright without it
OpenAI params translate to DashScope's contract. seconds becomes duration, and
size yields both a ratio and a named resolution tier (1280x720 gives 16:9 plus
720P), since sending only the ratio leaves the request on the default 1080P and
silently bills at that rate. input_reference becomes a single media entry,
base64 encoded into a data URI for file inputs. Which media type a model takes
(first_frame or, on the reference-to-video models, reference_image) is read
from provider_specific_entry.dashscope_video_reference_input via
get_model_info rather than hardcoded; models without it predate the media
array and get the flat img_url field. A caller-supplied media array always
wins, as that is the only way to express multi-role combinations
The create call is the only billed call, so it bills what DashScope will
deliver: the requested duration and tier, or the documented 5 second and 1080P
defaults when they are omitted. Smart duration (duration -1) lets the service
pick the length after that call, so it is rejected rather than recorded at
zero, with a 400. Task creation and task lookup both report failures as a 200 carrying
top-level code and message with no output, so that shape is raised instead of
surfacing as a queued video with an empty id. Status responses re-encode the
deployment model from the polled id, so follow-up polls and downloads route to
the same deployment. Timestamps parse as UTC+8. DashScope publishes no list,
delete or remix endpoint, so those raise rather than guess at a URL
The end-to-end tests drive the real avideo_generation() entrypoint through an
httpx MockTransport and assert on the JSON body httpx actually encoded. That is
what catches a mapper that drops input_reference before the request is built,
or a body fragment json cannot serialize, neither of which a test calling the
transform directly would see
Both model_prices maps gain wan3.0-video, wan3.0-video-prime, wan2.7-t2v,
wan2.7-i2v, wan2.7-r2v and the HappyHorse 1.0 and 1.1 t2v, i2v and r2v models,
for dashscope and the qwencloud and qwen_ai_platform aliases, priced per output
second by resolution tier from Model Studio's USD rate cards. dashscope and
qwen_ai_platform default to the Beijing host and use its rate card; qwencloud
defaults to the international host and uses Singapore's. The three
*_API_BASE_VIDEO overrides are documented in BerriAI/litellm-docs#1920
Co-authored-by: AaronHowell <237895480@qq.com>
* fix(dashscope): fail loudly on video responses that cannot be read
Addresses the review on the video generation PR. A body that is not the
documented task shape, an output block missing task_id or task_status, an
undocumented task_status and a missing output all raise DashScopeVideoError
now, instead of defaulting into a queued video with an empty id that callers
poll forever. A JSONDecodeError from a gateway response no longer escapes as
a generic connection error.
task_id and task_status are required on _TaskOutput, and a missing output
raises even when the body carries no code or message.
Download failures move into the 4xx range, since a 5xx has the proxy retry
them: 409 while the task is still running, 400 for a task that failed, 404
for an id that expired. The status a provider reported is kept when it
reported one, so an in-body failure that arrives on a 200 is billed as the
400 it is rather than as a retryable connection error.
characters and image are only dropped when drop_params is set; the params
that are rebuilt into the body or consumed by the caller (model, prompt,
user, extra_*) stay silently skipped, since the proxy stamps user from the
caller's end-user header.
Co-authored-by: AaronHowell <237895480@qq.com>
* fix(dashscope): clear the lint gates after merging main
* fix(dashscope): accept file tuples and paths as video input_reference
video_generation() types input_reference as FileTypes, which includes
(filename, content[, content_type[, headers]]) tuples and pathlib paths,
but the DashScope encoder only read bytes and file objects, so those
image-to-video calls raised before reaching DashScope. Bare strings stay
URLs and are never opened as paths.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(dashscope): snap size to a supported ratio and read file tuples and paths
* test(dashscope): assert whole mapped values and bill against hand-written rates
The tier pricing test read its expected rate from the same map the cost
calculator uses, so a wrong rate passed. Billing is now checked against
fixed rates driven through the status response usage, while the map test
only asserts every supported tier has its own rate. Size mapping tests
compare the full mapped dict, and the single-test wiring class is a
plain function.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(videos): download content through the caller's client and stop retrying dead tasks
Two Cursor Bugbot findings on the DashScope video PR.
The DashScope artifact lives on OSS, so transform_video_content_response makes a
second request. It built its own cached client, discarding an injected client and
its ssl_verify. Thread the client through the content response the way
transform_video_status_retrieve_response already does, and use it in the three
providers that fetch from a second URL (DashScope, RunwayML, fal.ai). The
remaining providers accept it and read the response body, matching how they
already accept an unused client on status retrieve.
A FAILED or CANCELED task reported without a code or message fell past the
in-flight check into the 502 branch, so the proxy retried a task that can never
produce a video. Raise 400 for a terminal status instead.
* fix(dashscope): answer 404, not 409, when a Wan video is downloaded before it finishes
A download that lands while the task is still PENDING or RUNNING answered 409. That
reads as a client error, which was the intent, but litellm's retry predicate counts 409
as retryable, so the proxy polled DashScope twice more before giving up and then counted
the caller's own early download against the model's error rate
404 is what the OpenAI videos API documents for content that is not ready, and it is the
one status in that family the retry predicate leaves alone. The rest of the mapping is
unchanged: 400 for a task the provider reported as failed, 404 for an expired task id,
502 when a succeeded task carries no artifact
The download tests now drive avideo_content and assert the caller sees NotFoundError
rather than an internal server error
* fix(dashscope): route a video poll back to the model group that created the task
The create response encoded the upstream model name into the returned id. Both the
dashscope and qwen_ai_platform prefixes serve the same model names from their own hosts,
so a proxy with a deployment per region had deployments that only the model group told
apart. Encoding the bare model name resolved a poll to whichever deployment the router
lists first, which sent it to the other region's host with that region's key and a task
id that region never issued. That is the reroute the earlier proof records as the
dashscope and qwen_ai_platform poll ids coming back tagged qwencloud
The id now carries the model group the create was routed to, which is what the proxy
resolves a poll back to, and falls back to the model name for a direct SDK call that has
no router
The regression test drives a real router with one deployment per region, under a
different prefix and under the same one, and asserts the poll carries the key of the
region that created the task
* fix(dashscope): read the routed model group from litellm_metadata
The router stamps the model group it picked into litellm_metadata. metadata only
carries a copy when the caller sent no metadata of its own, and every proxy request
sends some, so a proxied create still encoded the bare model name and the poll
resolved to whichever region's deployment the router lists first
The regression test now also creates the video with caller metadata, which fails
without this change
* fix(dashscope): reject unbillable video requests and keep fal and runway on their own clients
* fix(dashscope): show the caller why a video task is gone or not ready instead of the bare upstream body
* fix(dashscope): check video request values before the billed create and honor per-call drop_params
Type check documented DashScope parameters so a bad seed answers 400 instead of a billed failed task,
pass the call's and deployment's drop_params into the video mapping, answer 400 for an expired task id so
the deployment is not cooled down, read DASHSCOPE_API_BASE for video, keep polling SUSPENDED tasks, and
refuse to map size onto models litellm has no price for.
* fix(dashscope): carry the requested model name in video ids so alias and wildcard keys can poll
A key scoped to an alias or to a name a wildcard serves could create a
video and then got a 403 on the poll and the download, because the id
carried the group that served the call (wan3, qwencloud/*) and the key
was never given that name. The id now carries the name the router was
asked for on that hop, and the router resolves an alias, routing group
or wildcard name in an id back to itself when no deployment name or
provider model matches it first
* fix(dashscope): keep a routing group's video polls on the member that created the task
A routing group spans several model groups, so an id carrying the group's name
load-balanced its polls, and some left for another region's host and key with a
task id that region never issued. The id now carries the member that served the
task when the request named a routing group, and keeps the requested name for a
model group, an alias, or a wildcard match.
* fix(dashscope): carry the requested and served model in video ids so group-scoped keys poll in the creating region
* fix(proxy): pin a video's served group only after key and team aliases resolve
* test(integration): audit DashScope video create, poll, download, routing and chaos paths
* fix(proxy): keep catch-all video polls on their provider and count served polls against the requested group
* test(routing): expect a forged served group to be dropped from the polled video id
* test(integration): cover rate-limited routing group polls and catch-all polls of DashScope videos
---------
Co-authored-by: AaronHowell <237895480@qq.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
|
||
|
devin-ai-integration[bot]
|
bfcb0ff474
|
feat(telemetry): record proxy requests and provider attempts into the telemetry sink (#45489)
* feat(telemetry): record proxy requests and provider attempts into the telemetry sink * fix(telemetry): validate env settings, fix the window and only record the request's own provider calls Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(telemetry): bind the call id from a typed local Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(telemetry): record a finished request into the sink current when it finishes Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(telemetry): record every failed provider attempt, including retries and fallbacks on a shared logging object Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(telemetry): report timeouts and connection failures as their own provider status classes Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(telemetry): record failed attempts from the per-deployment failure hook instead of a new core logging hook Reverts the async_log_attempt_failure_event hook added to CustomLogger and litellm_logging in 3421b38685. The router already calls async_post_call_failure_deployment_hook once per failed attempt, retries and fallbacks included, so every failed fallback still gets its own row without touching the shared logging object. * fix(telemetry): register the attempt logger only once a telemetry group is turned on A proxy that never opts in now carries no telemetry callback. Once registered the logger stays, returning early while every group is off. --------- Co-authored-by: nate <nate@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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|
Mateo Wang
|
0ebec123fd
|
chore(typing): clear 670 basedpyright Any errors by validating provider payloads at the boundary (#45388)
* chore(typing): validate provider payloads at the boundary to clear 464 basedpyright Any errors Replaces untyped reads of decoded JSON in 48 provider, guardrail and proxy modules with one pydantic validation at the point the payload enters the module, so every value read afterwards carries a real type. reportAny 6111 -> 5663 and reportExplicitAny 1416 -> 1400. No basedpyright, ruff-strict or type-discipline rule is higher repo-wide or in any single file, and no cast, ignore or suppression marker was added. * chore(typing): replace 47 Any annotations that every caller already satisfies with object Each annotation here is a parameter or return type whose value is only stored, compared, logged or forwarded, so object describes it exactly and no function body changes. A site was kept only if no basedpyright, ruff-strict or type-discipline rule rose in any file that references it. reportExplicitAny 1400 -> 1353 and reportAny 5663 -> 5655. * chore(typing): type upstream responses and loose annotations across providers, proxy and integrations Second pass of the Any reduction. Decoded upstream JSON is validated once at the provider boundary and read through typed views afterwards, annotations that every caller already satisfies move from Any to a concrete type, and the nine search transformations validate each result item on its own so error text no longer carries the item index. No cast, no type: ignore, no suppression marker and no budget file edit * ci(unit): run the brave, google_pse, nlp_cloud and opensandbox tests in the providers shard |
||
|
devin-ai-integration[bot]
|
25d9b05386
|
feat(sdk): add litellm.systemone and trim litellm.decisions to the OpenAI shape (#45846)
* feat(sdk): add litellm.systemone and trim litellm.decisions to the OpenAI shape Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: run tests/unit/systemone in the core-utils unit shard Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * feat(sdk): keep litellm.decisions(state=...) working with a DeprecationWarning Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test: make tests/unit/systemone a package Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * feat(sdk): surface the litellm.decisions(state=...) deprecation as a UserWarning 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> |
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|
devin-ai-integration[bot]
|
5325c4a236
|
feat(proxy): per-model team member budgets with router fallback (#43887)
Co-authored-by: yassin <yassin@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
||
|
Shivam Rawat
|
15154a40a8
|
fix(proxy): let admins make per-model key/team rate limits a hard 429 instead of falling back (#45459)
* fix(proxy): let admins make per-model key/team rate limits a hard 429 instead of falling back Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): sync per-model rate limit API types Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): type per-model fallback setting access Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): keep the per-model hard cap inside the fallback loop and test it through the real limiter * fix(proxy): list the per-model hard cap setting on the settings page and cover every per-model descriptor * fix(proxy): read disable_fallbacks_on_per_model_rate_limits as a boolean value and cover the team-wide per-model cap * test(proxy): cover per-model rate limit 429s skipping fallbacks on a live proxy --------- 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> |
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|
devin-ai-integration[bot]
|
141dba2372
|
fix(proxy): keep the mapped status on assistants and threads route errors (#44994)
* fix(proxy): keep the mapped status on assistants and threads route errors * test(proxy): type and annotate the assistants and threads route error tests * fix(proxy): redact internal details from assistants and threads route error messages * test(proxy): integration cells for assistants route error mapping * test(proxy): drop malformed JSON cases that never reach the assistants route handler --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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|
Mateo Wang
|
58258409c9
|
refactor(proxy): expose public names for private proxy helpers (#45170)
* refactor(proxy): expose public names for private proxy helpers Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): keep original class names behind public aliases Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): preserve internal callback filtering Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): keep _PROXY_ class names for managed files hooks Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): keep old private names in package exports Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): preserve recursive auth helper name Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(proxy): align MCP limiter tests with server enforcement Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(proxy): match main's MCP limiter tests Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): keep old private names bound in importing modules Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): preserve compatibility imports through strict lint Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(proxy): use exact pyright suppression in password helper test Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * style(proxy): add reasons to compatibility import noqa comments Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(proxy): update IN-list baseline for renamed helpers 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> |
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|
devin-ai-integration[bot]
|
c3a23fe499
|
refactor: expose core private helpers under public names (#44871)
* refactor: expose core private symbols with compatibility aliases Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * types: narrow core migration diagnostics Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: preserve runtime behavior in core symbol migration Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: preserve core private usage migration behavior Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: preserve private value rebinding compatibility Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: restore optional imports and cover public helpers Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test: exempt router property from call coverage Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test: align recursive detector ignore names 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> |
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|
devin-ai-integration[bot]
|
7a7d27c550
|
fix(guardrails): run the end-of-stream post_call scan when the client disconnects mid-stream (#43839)
* fix(guardrails): run end-of-stream post_call scan when the client disconnects mid-stream Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): close the guardrail stream chain in async_data_generator on client disconnect Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): leave the raw upstream response to the shielded finalizer on client disconnect Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): keep disconnect cleanup going when a streaming callback cleanup raises Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(proxy): assert the refund through a recorder instead of the mock Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(guardrails): inspect tool calls released before a disconnect under incremental_diff and record a failed scan marker The incremental_diff transform stream now scans tool calls it already released when the client disconnects, and a disconnect scan whose translation raises after the guardrail recorded success also records guardrail_failed_to_respond Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(guardrails): pin that a text-only disconnect scan is not handed a tool_calls finish Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(guardrails): cover disconnect scans on every streaming endpoint and client, plus outage, worker-kill and cache-hit cells Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(guardrails): prove the cache-hit twin is served from the cache Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(guardrails): type the disconnect-close streams so basedpyright stops reporting unknown arguments * fix(guardrails): give the guardrail metadata cast a reason so the type discipline gate accepts it Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(guardrails): scan released Messages and Responses tool calls on disconnect Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * style(guardrails): format the disconnect scan unit tests Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore(guardrails): drop mutable-ok markers that no longer suppress a rule Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(guardrails): scan released Responses output after a finished item and end only in-flight Chat choices Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(guardrails): type the disconnect scan test helpers Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(guardrails): type request_data in the disconnect scan helpers Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(guardrails): type request_data in the disconnect scan test doubles Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(guardrails): pin that chat streams with no tool call in flight end as released Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(guardrails): scan only released chunks on disconnect and skip it once a block owns the verdict The disconnect scan now uses the chunks actually yielded to the client, copies them before scanning, skips when a mid-stream block or HTTP error already settled the verdict, and the iterator wrapper only closes hooks that are async generators so plain async iterator hooks keep working Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(guardrails): pin that a delivered guardrail error or final chunk settles the disconnect verdict Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(guardrails): close any hook iterator that exposes aclose when the stream ends early Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): accept a synchronous aclose on custom streaming hook iterators Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): swallow callback aclose errors at end of stream A custom callback whose async_post_call_streaming_iterator_hook returns a non-generator async iterator with a raising aclose() failed the finished stream: content plus usage reached the client and then the stream surfaced an error SSE with no [DONE], or aborted a post_call pipeline's buffering loop into a 500 with an empty body. Wrap the aclose invocation in _wrap_streaming_iterator_with_enrichment in try/except and log a warning naming the callback and the cleanup error, matching close_guarded_stream and _close_guarded_layers. Iteration-time hook exceptions still propagate. * fix(proxy): log only the error type when a callback aclose raises Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: yucheng <yucheng@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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devin-ai-integration[bot]
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8b1990b4bc
|
feat(decisions): add unified /v1/decisions endpoint for Jev-compatible providers (#44236)
* feat(decisions): add unified /v1/decisions endpoint for Jev-compatible providers Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(decisions): register typesafe as a provider so Jev deployments load Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(decisions): move provider endpoints under llms and validate proxy bodies Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * feat(decisions): add Cloudflare Clef and Strands Decider backends Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(decisions): register decisions routes for managed agents and gateway Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(decisions): use raw regex for cloudflare missing account match Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(decisions): avoid cast in Cloudflare response unwrapping Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(decisions): default model, evaluation health probe, short Cloudflare names The proxy validates only state and questions, so a request without a model falls through to the configured default model like every other route. Health checks probe evaluation-mode deployments through the Decisions API instead of failing with an unsupported mode, and cloudflare/clef and cloudflare/clef-flash get cost-map rows so the short names resolve a mode and a price. The registry no longer claims typed decisions for a provider with no backend. * fix(decisions): let health_check_params override the evaluation probe Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(integration): audit the decisions endpoint across providers, limits, health and chaos Adds the /v1/decisions audit cells: one wire contract per provider (path, key, body and cost-map billing), the gateway-only fields and tags, the sad paths (invalid bodies, unknown model, key checks, api_base in the body, upstream 401/429/500, a 200 without answers, an unreachable upstream), the two evaluation-mode health probes, and three chaos cells (a mixed-failure burst over both routes, a worker SIGKILL mid-burst, an upstream outage and restart on the same port). The PR's cost case read the upstream observations through the gateway, which answers 404 for that path; it now reads them from the upstream URL. The owned proxy harness takes extra CLI arguments, and its graceful stop waits as long as a worker boot may take, since a worker still starting honors SIGTERM only once it is up and the 30 second wait forced a cleanup under load. * fix(decisions): send env API keys to a configured api_base Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * feat(decisions): add zero-cost evaluation cost-map entry for Strands Decider Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(decisions): register the routes through the lazy feature registry The Decisions router was included at import, ahead of the config and DB pass-through endpoints, so a pass-through configured at /v1/decisions was skipped and answered 400 as an unknown Decisions provider. The routes now register through LAZY_FEATURES, which splices them in after every eager route, so a pass-through at /v1/decisions keeps its route while /decisions still serves natively. The lazy OpenAPI snapshot carries the two paths so the schema shows them before the first call. The audit cells add the env-key egress to a configured api_base, the client api_base opt-in shared with chat, the pass-through precedence on an owned proxy, and the Strands evaluation health check resolved from the cost map. The integration config exports the Perplexity env key the first cell needs. * fix(decisions): keep the Cloudflare api_base message in its transformation and read the audit upstream once per cell * fix(proxy): let a config pass-through beat a lazily registered route in eager mode With LITELLM_DISABLE_LAZY_ROUTES set the decisions routes are registered at startup, so SafeRouteAdder treated a config pass-through at exactly /v1/decisions as already registered and dropped it. In lazy mode a pass-through created through the API after the first native call was skipped the same way. Routes a lazy feature owns no longer count as registered, and a route added at one of their paths is placed ahead of them, the precedence lazy mode gives a config pass-through when the feature has not loaded yet. --------- 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> |
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devin-ai-integration[bot]
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4c6c84afb7
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perf(proxy): stop prompt-cache eligibility from tokenizing the whole conversation (#44221)
is_prompt_caching_valid_prompt ran the full Python token_counter over every message to compare against the deployment's prompt cache minimum, 500 to 1000 ms at 440k to 740k tokens on every request that reaches the prompt_caching pre-call check, Rust on or off. messages_reach_token_count does the same arithmetic as token_counter(...) >= threshold and stops at the first message that reaches the threshold. Groups with one healthy deployment skip the prefix hash and pin lookup, which cannot change the result for them Four fixed name span events make the pre-LLM phases measurable with OTel v2: litellm.request.body_received (with body_bytes) once per body read before parsing, on the JSON, binary and form branches, body_parsed, pre_call_completed, and deployment_selected emitted once per pick inside Router.async_get_available_deployment and get_available_deployment with attempt, reason and model group, so every router surface, retry and fallback is covered. Measured locally on /v1/chat/completions, /v1/messages and /v1/responses at 440k tokens with Rust on and off against a fake upstream Co-authored-by: yassin <yassin@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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devin-ai-integration[bot]
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6d8434f940
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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> |
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yuneng-jiang
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bba85f0b6c
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chore(lint): remove the LIT002 mutable-construction rule (#43971)
* chore(lint): remove the LIT002 mutable-construction rule
Drop LIT002 from scripts/check_type_discipline.py along with its helpers,
its budget entry, its unit tests, and the AGENTS.md and gate docstring
mentions. `# mutable-ok` now only suppresses LIT001, so the markers that
only existed to silence LIT002 became LIT013 stale suppressions and are
removed. The files whose layout depended on those trailing comments are
reformatted with ruff format.
Every other LIT rule count is unchanged and the ASTs of all touched
litellm/ files match main apart from one docstring.
* chore(lint): keep the leftover mutable-ok markers for a follow-up
Restore the ~1.4k `# mutable-ok` markers stripped in the previous commit
so this PR only touches the checker, its tests, the budget, and docs.
Those markers no longer suppress anything, so `# mutable-ok` is exempt
from LIT013 until a follow-up strips them.
* Revert "chore(lint): keep the leftover mutable-ok markers for a follow-up"
This reverts commit
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joshua-berri
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405ed414cb
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feat(agents): authenticate Entra identities and delegated requests (#43722)
* feat(agents): authenticate Entra identities and delegated requests * fix(agents): enforce target policy and preserve trusted authentication * fix(proxy): make inference model selection exhaustive * fix(agents): authorize targets against current database policy * fix(proxy): make exhaustive model resolution return explicit --------- Co-authored-by: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com> |
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devin-ai-integration[bot]
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ffb15f946f
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perf(proxy): one request-scoped Redis pipeline for auth, spend, rate-limit and routing reads (#43407)
RedisBatch: one pipeline per Redis backend for independently declared operations (MGET, GET, Lua scripts, INCRBYFLOAT, SET, DEL), a future per operation so each owner keeps its own fallback, Redis Cluster hash-slot fallback. A request-scoped batch middleware shares that pipeline across the auth identity reads and write-back, the spend counter MGET, the rate limiter Lua groups and the routing read. A rate-limit denial stands when another pipelined group fails; every pipelined group is refunded on rejection; local cooldowns win over the prefetch. The routing prefetch failure log line strips request line breaks (CodeQL py/log-injection) Resolves LIT-8882 Co-authored-by: yassin <yassin@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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devin-ai-integration[bot]
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2c9b0e00ac
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refactor(types): replace Any with proven types in 8 files (#43551)
* refactor(types): replace Any with proven types in 8 files Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(types): keep email logger untyped where its alert types differ 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> |
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devin-ai-integration[bot]
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f4308bc124
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refactor(types): replace Any with proven types in 5 files (#43304)
* refactor(types): replace Any with proven types in 6 files Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(types): keep enterprise email import inside try-except for unsafe-import check Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(types): keep email_logging_instance annotation as Any pending a guarded alias Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(types): revert iterator override typing in proxy utils 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> |
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Refael Iliaguyev
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e065a2575b
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fix(proxy): send a real error event when a /v1/messages stream fails (#41826)
* fix(proxy): send a real error event when a /v1/messages stream fails
When a stream failed halfway through, the proxy wrote the error as a plain
`data: {"error": ...}` line with no `event:` in front of it. Anthropic clients
pick stream events by that name, so they skip the line and the request looks
like it simply stopped with nothing in it.
Write the failure as an `event: error` frame with Anthropic's own payload, and
take the error type from the status code
* fix(proxy): use the shared Anthropic error mapping for the stream error frame
The first pass added a third copy of the status to error-type table, and it
disagreed with the documented one: 529 came out as `api_error` rather than
`overloaded_error`, and 413 as `invalid_request_error` rather than
`request_too_large`, which hides the two failures a client can actually act on.
Drop that copy and put the frame builder next to the table litellm already
keeps in anthropic_interface/exceptions. The bridged adapter path was building
the same frame inline, so it uses the shared one now too
* fix(proxy): seal a torn SSE frame before the /v1/messages error event
An upstream that drops mid-frame leaves the client inside an open event,
so the error frame that follows is glued onto the torn data line and the
Anthropic SDK raises a JSON decode error instead of an APIStatusError.
Close the open frame with a ping event the SDK skips before writing the
error event, and add the e2e stream-cut edge with Bedrock, Anthropic
boundary, and Anthropic mid-frame legs.
* fix(proxy): keep the SSE tail unchanged on a chunk that is not text
A serializer that hands a dict or model object through as-is has no bytes
the frame tail can learn from, so advance_sse_tail leaves it alone instead
of slicing it.
* fix(proxy): answer a /v1/messages stream that fails before its first byte as a JSON error carrying its status
* test: move the Anthropic error frame tests into tests/unit
* test(e2e): cut the upstream stream only after content has been relayed
* test(e2e): carry split SSE lines across chunks and always tear a data line mid-frame
* test(e2e): find the next data line across a chunk boundary before tearing it
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
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devin-ai-integration[bot]
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601c75a475
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fix(proxy): record streamed /v1/responses container ownership before the response.completed frame (#43140)
* test(e2e): cover Azure code_interpreter container files by native id with a service-account key * test(e2e): require the code_interpreter tool, skip at collection, and scope the container call timeout * fix(e2e): fail the containers suite when the Azure credentials are missing instead of skipping * fix(proxy): record streamed /v1/responses container ownership before the response.completed frame --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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devin-ai-integration[bot]
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f0e671f754
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refactor(types): replace Any with proven types in 13 files (#42937)
* refactor(types): replace Any with proven types in 13 files Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(types): drop unused executor import from utils type-checking block Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(realtime): keep reserved-key filtering on azure realtime health params Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(realtime): pin reserved-key filtering in azure realtime health auth params Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(realtime): exercise the real azure header builder in the reserved-key test 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> |
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devin-ai-integration[bot]
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d17c0d7724
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refactor: daily fresh tech debt cleanup, rolling PR (#42710)
* refactor: clear fresh tech debt from the last 24 hours (2026-09-05, 2026-09-06) Drop the TID251 cast import and both cast-ok casts from the refusal message_delta rebuild by narrowing the TypedDict union on its type literal, drop the redundant Mapping cast after the isinstance check in _mapping_field, and type the Lyria predict read-only helpers as Mapping[str, object] instead of a bare dict with mutable-ok. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: clear fresh tech debt from the last 24 hours (2026-09-09) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: clear fresh tech debt from the last 24 hours (2026-09-10) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: keep the pre-existing cost-estimate comment and usage cost read out of the cleanup Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: clear fresh tech debt from the last 24 hours (2026-09-13) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: keep the model info pricing helper out of the cleanup Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: drop suppressions that no longer suppress anything (2026-09-16) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: keep the rebind-ok reason inside the line limit Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(anthropic): rebuild the refusal message_delta by spreading the chunk Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: clear fresh tech debt from the last 24 hours (2026-09-17) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: clear fresh tech debt from the last 24 hours (2026-09-18) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: clear fresh tech debt from the last 24 hours (2026-09-19) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: keep the pre-existing protected-resource return type out of the cleanup Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: clear fresh tech debt from the last 24 hours (2026-09-20) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor: type fresh getattr, Any, and bare dict debt from 2026-09-22 Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(mcp): keep the string guard on tools/list next_cursor Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(vercel_ai_gateway): type the embedding error headers dict Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore(techdebt): fix inert suppressions and missing Final in 2026-09-22 changes Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore(techdebt): shorten suppression reason to fit line length Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore(techdebt): format provider spread so its suppression sits on the literal Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore(techdebt): drop the logger extras suppression that LIT013 now flags as inert Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore(techdebt): clear fresh suppressions, Any aliases and slop from the 24h window Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(vercel): take a read-only headers mapping in get_error_class 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> |
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tin-berri
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8b001d4024
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fix(shadow-eval): replay approved pre-call guardrail snapshots (#42774) | ||
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devin-ai-integration[bot]
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4b50e8b236
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fix(mcp): keep tool attribution on guardrail-blocked REST calls (#42790)
* fix(mcp): keep tool attribution on guardrail-blocked REST calls Co-Authored-By: bot_apk <apk@cognition.ai> * fix(proxy): keep content enforcers in the pre-call walk when guardrails are skipped Co-Authored-By: bot_apk <apk@cognition.ai> * test(proxy): accept skip_guardrails kwarg in pre_call_hook test doubles Co-Authored-By: bot_apk <apk@cognition.ai> * test(proxy): drop section comment flagged by repo comment policy Co-Authored-By: bot_apk <apk@cognition.ai> * test(proxy): drop docstrings from skip_guardrails tests Co-Authored-By: bot_apk <apk@cognition.ai> * test(proxy): wrap pre_call_hook mocks under the line limit Co-Authored-By: bot_apk <apk@cognition.ai> * refactor(proxy): drop skip_guardrails docstring sentence Co-Authored-By: bot_apk <apk@cognition.ai> --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: bot_apk <apk@cognition.ai> |
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devin-ai-integration[bot]
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cb2f22533c
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feat(proxy): opt-in include_guardrail_response returns guardrail_information in the response (#42327)
* feat(proxy): opt-in include_guardrail_response returns guardrail_information in the response Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): read include_guardrail_response from the request metadata bucket the router did not reseed Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * style(proxy): format common request processing Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): redact matched content in guardrail_information and stop mutating cached responses Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): traverse guardrail diagnostics iteratively Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): annotate guardrail traversal cast Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(proxy): reuse core redaction helper for guardrail_information Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore(proxy): justify response rebind when attaching guardrail information Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: yucheng <yucheng@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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devin-ai-integration[bot]
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1a714548a4
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fix(guardrails): store the masked output in spend logs when Presidio masks the response (#42441)
* fix(guardrails): store the masked output in spend logs when a post_call guardrail rewrites the response Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(guardrails): record served output without re-narrowing the logging object Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(guardrails): overlay the served output before message redaction so turn_off_message_logging still wins Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(logging): type the monkeypatch fixture in the redaction ordering regression Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(e2e): poll through raw card output until the guardrail reaches the serving worker Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(guardrails): keep blanked, multi-choice and disconnected served output out of raw spend logs Served text keeps empty strings and tracks unavailable choices as None so a guardrail that blanks the output still overrides the raw provider text. Stream choices are sized from the highest choice index, served chunks are recorded before a client disconnect or stream failure propagates, and message-logging redaction drops the served text from callback kwargs Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: yucheng <yucheng@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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tin-berri
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5a8c4f48e4
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feat(router): native compact-to-fit across conversation APIs (#42074)
* feat(router): native compact-to-fit across conversation APIs * fix(router): preserve compaction admission and shared client boundaries * fix(router): honor compaction fit fallbacks and router-scoped access * fix(router): charge compaction usage to caller token limits * test(http): keep FastAPI inside proxy tests * fix(router): check compactor capacity before skipping escalation |
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ryan-crabbe-berri
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a9cea9d644
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feat(errors): add stream and safe config flags to the bug report link (#42428)
Proxy bug reports now carry the request's stream flag and a config block built from dotted paths like router_settings.routing_strategy. A line is emitted only when its key is defined by a LiteLLM schema and its value is a bool or a LiteLLM-defined value (providers, callbacks, routing strategies, cache types, guardrail integrations and modes, key management systems). Secrets, URLs, numbers and custom values leave no line |
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devin-ai-integration[bot]
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4936427094
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feat(errors): prefilled GitHub issue link on unmapped internal errors (#42065)
* feat(errors): prefilled GitHub issue link on unmapped internal errors Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(errors): scope bug report link to unmapped exceptions Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(errors): cover bug report link on unmapped SDK exceptions Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(errors): exercise unmapped branch without changing openai mapping Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * style: format bug report changes Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): guard bug report generation for invalid exceptions Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): keep bug report notice out of client error bodies Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(errors): strip only the notice separator from client messages Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(errors): only link bug reports for exceptions without a provider status Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(errors): allowlist-only bug report link, drop exception message and model from URL Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): read request.url.path for the unhandled-exception bug report route Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(bug_report): drop non-string provider values before the allowlist lookup Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(bug_report): drop the OS line from the prefilled issue Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: ryan <ryan@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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devin-ai-integration[bot]
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8b33da7bb3
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feat(proxy): opt-in litellm_call_id in JSON error bodies (#42391)
* feat(proxy): opt-in litellm_call_id in JSON error bodies Add general_settings.include_call_id_in_error_body. When true, the value already on the x-litellm-call-id response header is copied into JSON error bodies: as error.litellm_call_id on the OpenAI-shaped routes, /v1/messages, and streaming first-chunk errors, and as a top-level litellm_call_id on pass-through routes. Off by default, so error bodies stay byte-identical unless an admin opts in * chore(proxy): drop helper docstring and restore lazy OpenAPI snapshot --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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Tin Chi Lo
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ed40241d26 | fix(proxy): estimate auto-router baseline costs from durable cache history | ||
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yucheng-berri
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711a1924d4
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Merge pull request #41583 from BerriAI/litellm_applied_guardrails_blocker
* fix(proxy): name the blocking guardrail in x-litellm-applied-guardrails When a guardrail hook raises, the common ProxyLogging dispatch (sequential and parallel pre_call, pipeline block, during_call and post_call metrics wrapper, streaming iterator wrapper) now records that guardrail in applied_guardrails before re-raising, and pre_call_hook folds request-declared guardrails in on its raising path. Buffered streams rebuild their response headers after the first chunk so a post_call block reached while buffering carries the blocker too Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(proxy): attribute only the raising layer in stream and pipeline blocks The streaming wrapper caught every exception crossing its boundary and named its own callback, so a block by an inner guardrail or a provider stream failure also named every outer guardrail. The wrapper now runs the hook over an upstream boundary that remembers the exception it raised, and skips attribution when the same exception passes through Pipeline blocks converted from SensitiveDataRouteException or ModifyResponseException into a generic guardrail_pipeline_error now still record the blocking step's guardrail Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(proxy): drop explanatory docstrings from the stream attribution helpers Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: yucheng <yucheng@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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yucheng
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b346eefd1f |
fix(proxy): rerun requested model guardrail merge on fallback instead of carrying a raw list
Structured guardrail entries (dicts) are unhashable, so merging a carried list through _merge_guardrails_with_existing raised TypeError on the fallback path. Resolve the requested model alias through _check_and_merge_model_level_guardrails instead and add a regression test for structured request guardrails Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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yucheng
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a187a5bfc6 |
fix(proxy): keep requested model guardrails and key disable_fallbacks on rate-limit fallback
The local rate-limit fallback path introduced in #40596 restores the request from a snapshot taken before the pre-call pass, so the guardrails resolved for the requested model were dropped when another deployment was selected, and the raw request-body disable_fallbacks field gated the fallback before the key-level disable_fallbacks override had been applied Carry the requested model's merged guardrail list onto every fallback pass and read the effective disable_fallbacks value after the pre-call pass Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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kerry
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27dd1a02aa |
fix(proxy): reject non-string model with 400 and log its spend as unknown-model
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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yucheng
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0f3556b1bf |
refactor(proxy): drop explanatory docstrings from the stream attribution helpers
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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yucheng
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9fa85c5da5 |
fix(proxy): name the blocking guardrail in x-litellm-applied-guardrails
When a guardrail hook raises, the common ProxyLogging dispatch (sequential and parallel pre_call, pipeline block, during_call and post_call metrics wrapper, streaming iterator wrapper) now records that guardrail in applied_guardrails before re-raising, and pre_call_hook folds request-declared guardrails in on its raising path. Buffered streams rebuild their response headers after the first chunk so a post_call block reached while buffering carries the blocker too Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |