* feat(spend-logs): opt-in latest_turn mode that stores only the current turn of stateless requests
* fix(spend-logs): keep bridged Responses rows and classifier audit in latest_turn mode, reject unknown values at boot
* fix(spend-logs): drop the recursive call in the latest_turn trim and type the stateless test cases
* test(spend-logs): format the stateless latest_turn cases
* test(spend-logs): wrap the classifier audit fixture
* fix(spend-logs): type the latest_turn trim inputs
* fix(spend-logs): leave the raw request body unvalidated before the latest_turn trim
* fix(spend-logs): trim classifier rows and ignore continuation keys off /v1/responses in latest_turn mode
* fix(spend-logs): take the classifier's originating request from the logging payload and redact a copy of vector store results
* fix(spend-logs): redact the body selected for storage, after the latest_turn trim
* feat(proxy): give Codex accurate model entries for every model in /v1/models
* fix(router): read a deployment's upstream model without a not-required key access
* fix(proxy): keep Codex tiers for unpriced deployments and match stock entries by declared provider
A deployment with no token price no longer votes a Codex service tier off,
an undescribed model keeps Codex's default reasoning summary parameter,
a Bedrock deployment naming its provider in custom_llm_provider gets Codex's
stock entry, and Bedrock provider namespaces follow the AWS model id format.
* fix(proxy): import cost tracking and provider helpers lazily in the Codex catalog
lite codex imports the catalog before the SDK is initialized, so importing
cost tracking, the Bedrock helpers or provider resolution at module level hit
a circular import and broke every lite command.
* fix(proxy): drop Codex's fast speed tier wherever its priority tier is dropped
Codex shows /fast for a leftover fast speed tier even when service_tiers
no longer offers priority, so an alias, an empty configured tier list or
a configured list without priority showed a /fast toggle that sends nothing.
One helper now sets service tiers, speed tiers and the default together.
* fix(proxy): give an older Codex a translated entry for models past its version
Codex's own entries name the oldest release that can read them in minimal_client_version. A release older than that can fail to decode the entry, such as a reasoning effort it has no name for, which fails the whole catalog, so it now gets the translated entry, whose levels are trimmed to that release
* fix(router): drop supports_web_search false deployments for Anthropic web_search_* and Gemini googleSearch tools
* test(integration): build the web search filter proxy config without mutating the shared config
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(types): define the responses compact call types so during_call guardrails and deployment hooks see them
* test: regenerate dashboard api types and skip compact in the azure sdk client sweep
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The primary stream's mid-stream stall reaches failure_exits as a mapped litellm.Timeout (408), which cools the deployment on the Rust core. Keep that behavior and update the integration test that expected the Python core's exemption. Fallback hops stay exempt through is_stream_stall.
* fix(router): write the prompt caching pin when turn_off_message_logging is on
The success event PromptCachingDeploymentCheck reads had its messages redacted in place by
turn_off_message_logging before any callback ran, so the pin was keyed off redacted-by-litellm,
never written, and every follow-up bounced across the group. Callbacks that route on the request
and never log it now opt out of that redaction and get the request messages back, while every
other callback and the spend log keep the redacted payload.
* fix(logging): type the request-messages payload helper as dict[str, object]
The bare dict return grew the LIT001 count past the merge base and left the returned fields unchecked
* test(integration): type the pin rig's Redis client as Redis[bytes]
The untyped generic grew the basedpyright reportUnknownMemberType count past the merge base
* test(integration): quote the Redis[bytes] annotation so the rig collects at runtime
redis.Redis is not generic at runtime, so the unquoted subscript raised TypeError on import
* fix(logging): read the request messages once as object in the exempt payload helper
Two partially unknown reads of self.messages grew the basedpyright reportUnknownMemberType count past the merge base
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(responses): preserve native stream spend on guardrail rejection
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(responses): type deferred logging dispatch once
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(responses): expect guarded rounds on one failure row
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(tests): format guarded billing regression
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(tests): preserve existing MCP unit formatting
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>
* feat(interactions): continue requires_continuation long decodes with continuation_token hops
A foreground Interactions request stops at Google's per-hop output cap with
status requires_continuation and a continuation_token. litellm now re-posts the
request with previous_interaction_id and continuation_token until the status
moves on, merging the hops into one interaction (last id, every hop's steps,
summed usage with initial_input_tokens from hop 1), for non-streaming and
streaming calls. continuation_token is accepted as a request param, and
requires_continuation is a known status for billing.
* refactor(gemini interactions): validate streaming chunks with model_validate
* fix(interactions): keep the held completion across stream hops, stop on a repeated continuation_token, follow the spec redirect
* fix(interactions): add grounding_tool_count per tool type, stop on any seen continuation_token, keep streaming past a [DONE] frame when a hop is pending
* ci(interactions): point the spec canary at aistudio.google.com, where Google moved the Interactions OpenAPI spec
* test(interactions): scripted Google ends each long decode hop with a [DONE] frame
* refactor(interactions): pass requires_continuation and continuation_token through instead of looping hops in the proxy
The caller drives the continuation, the same as against Google directly. /interactions accepts continuation_token in place of input so a resume request needs no input.
* test(proxy): assert the accepted /interactions bodies pass the required-param check
* fix(proxy): keep the router default fallback for input on /interactions, continuation_token stands in for it
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The Rust core reports fallback errors only when include_fallback_errors is
literally true. The routing and SDK wire tests still expected the header for
truthy non-bool values (1 and a 5 KB string), which the deleted Python core
produced by accident. Every non-bool value now expects no errors, and the
flag still must not reach the provider.
* test(integration): stop the wire peer from dropping requests whose bytes arrive late
The scripted wire peer set a fixed 5 s socket timeout, so a request whose
bytes reached it late on a loaded rig was dropped with no reply and the
proxy answered 500 Server disconnected. Remove the timeout and, at
teardown, stop reading on every accepted connection so idle handlers exit
at once. A request still arriving when teardown starts never reaches the
test's respond callback.
* fix(tests): bound wire peer teardown on unread replies and answer complete requests
* fix(tests): poll wire peer reads so teardown keeps queued requests and only cuts stuck calls
* fix(tests): write wire peer replies in pieces so teardown never cuts a client still reading
* fix(tests): give a wire peer reply the whole teardown grace when its write blocked before teardown
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(accounting): keep one undecodable delivery from blocking the ledger
A request whose metadata carried a 401-digit tokens_saved stored that number in
its delivery payload. The query engine could not decode it when the worker
claimed the batch, so every later delivery on the proxy stayed pending
The worker now claims the payload as text and decodes each row in Python. A row
that still cannot be decoded is parked alone while the rest of the batch
applies. The payload builder also clamps integers to the JSON-safe range, so
caller-supplied counts can no longer reach the engine at that size
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): take spend locks in one order so the ledger cannot deadlock
A ledger delivery updates many spend tables in one transaction, so it can
deadlock with any writer that locks the same rows in another order. It took the
team advisory lock after the user and team rows, while team roster writers take
it first
The delivery now takes every team advisory lock before any row, then writes
tables in one canonical order with ids sorted. It also runs under the rollup
lock_timeout, applies 500 deliveries per batch by default, and spreads retries
with jitter
The writers that could still collide with it now follow the same order. The
budget reset cascade, model allowlist rename, global spend reset, bulk user
update, org delete and the delete-by-list paths lock their rows in key order
first, and access group endpoints update teams and keys in one sorted pass
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* test(accounting): prove a ledger delivery waits instead of deadlocking
Real Postgres tests hold the first lock of a team roster change, an access group
update and a budget reset cascade, start a delivery, and let the other writer
finish. The delivery must wait and then charge once. Before the lock order fix
each case ends in a Postgres deadlock
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* feat(accounting)!: make the SpendLogs ledger the default accounting path
use_spend_logs_ledger now defaults to true, so every request is charged through
LiteLLM_SpendLogDelivery. Setting it to false rolls back to the in-memory and
Redis spend queues, which stay in place. Tests that cover those legacy writers
pin the setting off, and the rest check the queued charge the ledger stores
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* test(proxy): let the mocked client open a transaction for key and team deletes
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(proxy): take team locks first when a model rename rewrites allowlists
A rename locked team rows before user rows while a roster change holds the team
advisory lock and a user row, so the two could deadlock. The rename now takes the
advisory lock for every team that lists the model, sorted, before any row lock.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): drain a backlog in one worker run, one batch per transaction
One run applied a single fresh batch, so at 500 per batch charges fell behind any
load above that rate. The worker now keeps claiming fresh batches while they come
back full, for up to five seconds, and each batch still commits on its own.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): queue only the charge when a request's spend log is suppressed
With logging off for a request, the ledger still queued the full row, so a failed
flush or a shutdown could leave its prompt and response in Redis. The queue now
holds only the fields the charge needs.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* style(proxy): format the rename team listing query
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): remove expired delivery receipts as fast as the worker applies them
The worker now applies several batches per run but still removed one cleanup batch
of applied receipts, so the table could outgrow its retention window. Cleanup now
repeats while each pass removes a full batch, for up to five seconds.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(proxy): retry a model rename when a team starts listing the model mid-lock
The team advisory locks come from a snapshot, so a team that gained the old name
before its row lock was locked without its advisory lock. That attempt now commits
without writing and the next one locks the fresh set of teams.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---------
Co-authored-by: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
LiteLLM_AccountingEvent and LiteLLM_AccountingDelivery have had no reader since
the SpendLogs projection replaced them, so the migration drops them with their
enums. AccountingDeliveryState stays because LiteLLM_SpendLogDelivery uses it
The schema now spells the delivery_id default the way Postgres stores it, which
ends the drift Prisma reported against the ledger migration. The schema check
compares base types only, so an attribute-only change is no longer reported as
a type change
Co-authored-by: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
* fix(anthropic): stop forcing the response_format json tool when Claude will think
A forced tool call skips Claude's thinking. The json_schema emulation forced
json_tool_call unless thinking.type was enabled, so adaptive thinking and the
models that think by default (Opus 5, Sonnet 5, Haiku 5.5, and the always-on
families) lost their thinking on every structured-output request.
AnthropicModelInfo.response_format_tool_can_be_forced is now the one check
the Anthropic, Bedrock Converse (including the native output fallback) and
Databricks paths use. It leaves the tool unforced when thinking is requested
in any form or the model thinks by default, and keeps forcing it when the
request turns thinking off (thinking disabled or reasoning_effort none) on a
model that accepts forced tools.
The new thinking_on_by_default cost map key marks Opus 5, Sonnet 5 and
Haiku 5.5 on the providers that reach these paths, and a miss-only fallback
rule covers unmapped Claude 5 and later ids.
* fix(bedrock): route native output and thinking token counts by whether Claude will think
Bedrock's native output opt-in now uses the same will-think check as the json tool, so Claude 5 models that think by default with no thinking param go native. Converse also asks for /usage/output_tokens_details on those models, so reasoning tokens are reported for them.
* fix(anthropic): tell Claude to answer through the unforced response_format tool
Moves the integration tests that check the forced JSON tool from Claude 5 models to Opus 4.8, since Claude 5 models now keep their default thinking and take the unforced tool or native output
* fix(anthropic): keep open-object schemas on the json tool when Claude will think
Native output closes every object, so an open object came back empty. Also declare thinking_on_by_default in the Rust model catalog and expect the Converse thinking-token field in test_main
* fix(anthropic): hold streamed prose until the JSON tool decides the answer
In json mode with the unforced JSON tool, Claude can write its working before it calls the tool. The stream now holds that text, drops it when the JSON tool answers, and sends it when Claude calls a caller tool or skips the JSON tool, matching the non-streamed reply.
* test(anthropic): build the stream test events without nested comprehensions
* fix(anthropic): keep always-on thinking models unforced, open objects native when thinking, and the tool instruction Claude-only
* test(anthropic): keep main's open-object integration cases and cover the unforced tool on a default-thinking model
* fix(anthropic): treat thinking False as thinking off so the JSON tool stays forced
Cover thinking False on the Anthropic and Converse forcing tests, and pin that a Converse
json_schema stream with the unforced JSON tool never sends Claude's working text as content
* fix(anthropic): drop the thinking False forcing case that completion never reaches
litellm.completion turns thinking False into no thinking param before any route sees it,
so the case was dead on the request path and False keeps meaning the model's default
* test(bedrock): collect the Converse json_schema stream chunks in one assignment
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(nvidia_riva): send the api key once per call by talking to Riva over grpc directly
Drops nvidia-riva-client from the stt-nvidia-riva extra. Depending on its version it sent
the bearer token zero times on plaintext or twice on TLS, so token-checking Riva deployments
rejected every request (#50059). The provider now declares the few Riva messages it uses,
opens its own grpc channel and puts authorization and function-id on each call exactly once
* test(nvidia_riva): run the provider against a real grpc server built from nvidia's own definitions
* fix(nvidia_riva): validate endpointing settings with pydantic before building the riva message
* test(nvidia_riva): check the key is sent once over tls, and drop a comment that restated the code
* feat(accounting): add opt-in SpendLogs ledger delivery
* fix(accounting): preserve missing organization daily spend parity
* fix(accounting): preserve ledger receipts when replaying migration
* fix(accounting): preserve callback windows and tune ledger batches
* fix(accounting): preserve window charges and bound ledger statements
* test(accounting): verify budget callback registration order
* test(accounting): verify captured charges after repeated startup
* feat(accounting): store durable payloads independently of spend logs
* fix(accounting): preserve first delivery and trace ledger writes
* fix(accounting): keep SDK imports independent of proxy tracing
* fix(accounting): honor log retention during batch takeover
* test(accounting): cover retained batch alerts and invalid settings
* test(accounting): verify downgrade command against pending work
* fix(accounting): drain retries without starving fresh deliveries
* test(accounting): cover delivery projection, metrics and window key reads
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* test(accounting): read delivery metrics without the shared registry
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): charge a leftover $0 batch row when its claim fails
A failed batch claim buffers the retrieve's row and reports it charged. At flush the
row conflicted with the pre-upgrade $0 SpendLogs row, so its delivery was rolled back
and the charge never reached the spend tables. The flush now takes that row over in the
same transaction and keeps the delivery.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): trace the batch takeover at flush as a SpendLogs update
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): keep local spend logs when SPEND_LOGS_URL has no export client
The export client is never created, so main always writes SpendLogs to the proxy's own
database even with SPEND_LOGS_URL set. The ledger skipped local rows whenever the URL was
set, which dropped those request logs. It now treats a flush as an export only when the
client exists, and batch claims write local rows as before.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): keep every request's charge when its log row is shared, evicted or rejected
- Key non-batch deliveries on a per-request delivery_id so a reused client call id is still
charged once per request, while buffer replays stay deduplicated
- Persist the redacted api_key instead of an opaque bearer token
- Keep the accounting payload when the spend-log queue evicts a row or Postgres rejects it
- Strip NUL from payloads and skip non-text tags so projection never parks a paid request
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): isolate a raw-SQL spend log row Postgres rejects instead of requeueing the batch
A rejected row on the ledger insert path raises RawQueryError, which the exact DataError check missed, so the whole batch was requeued every flush. Data and integrity SQLSTATE classes now bisect like before, while missing tables and deadlocks keep retrying
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): keep charging a request whose tag is too long for the daily tag index
A tag past Postgres's btree entry limit failed the DailyTagSpend upsert, and on the ledger path that rolled back the request's key, team and user charges with it. Such tags are now left out of the daily tag rollup only
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): store only guardrail billing fields in the accounting payload
The ledger payload copied whole guardrail records, including responses and match details, into LiteLLM_SpendLogDelivery even when spend logs were disabled. It now keeps the id, name, usage and cost fields the projection reads. NUL stripping reuses safe_json_structure instead of a recursive walk
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(proxy): move spend payload stamping out of update_database
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* test(proxy): restore the modules the import-layering guard evicts
The guard popped litellm.proxy.utils from sys.modules for good, so later tests on the same xdist worker patched a fresh module while calling functions bound to the old one, and spend queue tests failed depending on scheduling
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(proxy): keep update_database's payload stamping on its own local
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(accounting): type guardrail entries and use a public key redaction helper
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): keep charging requests whose end-user id is too long for an index
An oversized end-user id failed the SpendLogs insert with SQLSTATE 54000, which was requeued forever, and failed the end-user upsert in the delivery, which parked the key and team charge with it. Class 54 rows are now isolated like other rejected rows, and such ids are left out of the end-user rollups only
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(proxy): type the spend log queue snapshot
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): leave out any projected row Postgres cannot index or store
Caller-supplied ids and counters, such as a long tag or end-user id or an out-of-range compression count, failed the delivery transaction and rolled back the request's key, team and user charges. One check in project() now drops only the row that cannot be stored, replacing the per-field cutoffs
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): keep the guardrail fields compression savings are counted from
Slimming the guardrail records dropped the provider and the tokens_saved figure that Headroom compression savings are read from, and dropped a bare-dict record entirely. The payload now keeps both while still leaving out guardrail content
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): cap projected counters so daily totals cannot overflow
Counters such as a caller-supplied compression count fit one by one but overflowed the bigint daily total once summed across requests, rolling back the key, team and user charges in the same transaction. Each counter is now capped at 2^40, far below any total that could overflow
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): let a buffered batch charge take over its zero-cost receipt
A batch charge queued after a failed lookup hit the $0 receipt an earlier poll left behind, and ON CONFLICT dropped it. The buffered insert now runs the same receipt takeover as a live retrieve
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): read a rescued batch row's spend from its accounting payload
Rows rescued from an overflowing queue keep only the accounting payload, so the buffered takeover never saw their positive spend and left the $0 receipt uncharged
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): read budget windows through the delivery transaction
Window seed and existing-row reads used a separate connection while the delivery transaction held one, so with a one-connection pool they waited on their own transaction until it timed out. Inside an enclosing transaction they now share its connection
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): retry a transient failure while keeping a dropped row's charge
The rescue swallowed every error, so a database blip right after a row was rejected lost the unpaid charge. Only a rejected row is still logged and skipped, anything else propagates so the flush retries
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* test(accounting): give delivery projection payloads their charged entities
project() now reads entities only from accounting_entities, so the hand-built
delivery payloads carry them like real stored payloads do.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(accounting): own ledger rows by their payload and key batches on the batch id
Drop the accounting_path stamp and its SpendLogs column. A buffered row that
carries an accounting payload is ledger owned, one without it is legacy, and
spend counters get a plain windows_from_ledger flag. Window seeding tells
applied ledger rows apart by their delivery row.
A ledger batch is plain transaction A keyed by the batch id, so a repeated
completed retrieve conflicts and charges nothing. A $0 retrieve records no
delivery, a batch a legacy retrieve already charged is not charged again, and
the legacy batch path is unchanged from main apart from refusing a batch the
ledger already owns. Batch takeover and its delta bookkeeping are removed.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* test(accounting): drop a projection test duplicated while rebasing
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(accounting): drop previous_payload now that deliveries are never replaced
Batch takeover was the only writer of previous_payload, so the worker applies
each delivery's payload as stored and the column leaves the migration.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(accounting): drop the ledger downgrade checklist script
The use_spend_logs_ledger flag is the rollback path, so a separate downgrade
gate is no longer needed.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): name the window seed reads so their Prisma span resolves
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(accounting): remove the unused accounting event types and protocols
types.py, protocols.py and measurements.py were left from the old event
scaffolding. Nothing outside the package imports them, so they go with their
tests.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): park only deliveries whose own data fails
A delivery that keeps failing on a database outage, lock timeout or deadlock
stays pending and retries with capped backoff, so a recovered database applies
it. Only a data error or an invalid payload parks the isolated row.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): isolate a spend log row the insert statement rejects
The raw SpendLogs insert validates columns and JSON before Postgres sees the
row, so a row that fails there is now bisected out and dropped alone while its
charge is kept, instead of failing and replaying the whole flush.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): carry a job's model window on every completed poll in ledger mode
The ledger keeps the poll whose delivery claims the job, which need not be the
poll that won the limiter's in-memory charge. Every completed poll now carries
the job's window, so the delivery that lands always has it, while the live
model budget is still charged once.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(accounting): leave model-budget windows on the existing window writer
Model-budget windows are written by the model budget limiter rather than
derived from a request's spend, so they stay on main's window queue like live
budget counters do. This drops window capture from the accounting payload,
the deferred limiter registration and the job-window capture, and the ledger
keeps owning key and team budget windows.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): keep a delivery pending when the database is unreachable
Prisma reports a can't reach database server outage as a DataError, so the
worker now checks for an unavailable database before treating a data error
as the delivery's own fault.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): isolate only rows the raw insert cannot encode
Catching every ValueError also swallowed unexpected insert errors that main
re-raises. The raw insert now raises RejectedSpendLogRow for an unknown column
or non-JSON value, and only that is isolated as a rejected row.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* fix(accounting): store zero savings when caller data makes them uncomputable
A huge caller-supplied tokens_saved overflowed the savings math inside
build_accounting_payload, which dropped the request's charge in ledger mode.
Savings that cannot be computed are now recorded as zero and the charge lands.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---------
Co-authored-by: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
* fix(anthropic): answer a 503 as 529 overloaded_error on /v1/messages
Anthropic's error contract has no 503, so a client built against it (Claude Code) treats a 503 from /v1/messages as a plain 5xx and retries it ten times instead of taking its overload path. A Bedrock 503 now leaves /v1/messages and /v1/messages/count_tokens as 529 overloaded_error, for both a JSON answer and a stream that fails before its first byte.
An Anthropic 529 overloaded_error now maps to litellm.ServiceUnavailableError (503) instead of InternalServerError (500), so OpenAI-shaped routes answer it as 503, the status OpenAI documents for an overloaded engine, and router retry and allowed-fails policies key it as ServiceUnavailableError.
* test(proxy): expect overloaded_error on a 503 stream error after a keepalive ping
* fix(proxy): record the 529 the Anthropic routes answer and type the chat stream error frame
The messages route stamps the answered status on the exception before post_call_failure_hook runs, so the spend log row, the OTel server span, the failed-request metric, and alerting record the 529 the client saw instead of the deployment's 503, while the deployment failure metric and cooldown keep the deployment's own status. A chat completions stream error frame names the type its status stands for instead of the null .type ServiceUnavailableError carries. An Anthropic-shaped 503 envelope passes through as 529 overloaded_error through a validated TypedDict, and count_tokens answers every ProxyException as the Anthropic envelope. Five integration tests that pinned 503 on the messages route now expect 529
* test(proxy): expect the top-level Anthropic envelope from count_tokens errors
count_tokens now answers a ProxyException as a JSONResponse carrying the
Anthropic error envelope instead of raising HTTPException, which FastAPI
wrapped in {"detail": ...}. The three legacy error-format tests now read
the response body and check that no detail wrap is left.
* test(proxy): cover the 529 overloaded_error answer across routes, cooldown, and retry budgets
* fix(anthropic): keep Anthropic overloads as InternalServerError and answer 529 from the provider status
An upstream Anthropic 529 stays litellm.InternalServerError (status 500) so
InternalServerErrorRetries, InternalServerErrorAllowedFails, SDK handlers,
and the OpenAI-shaped routes behave as on main. The error now carries
provider_status_code, and the /v1/messages routes answer 529
overloaded_error from it.
* refactor(proxy): unwrap a mid-stream fallback error once instead of recursing for the provider status
* fix(anthropic): keep count_tokens' detail body, end keepalive streams with an Anthropic error event, and log any 529 as an overload
* test(integration): cover the audit round 3 cells and expect 529 on the count_tokens 503 cases
* fix(proxy): re-raise an unchanged stream HTTPException as itself and walk nested mid-stream fallbacks for the provider status
* fix(proxy): walk nested mid-stream fallbacks without recursion
* fix(anthropic): preserve 503s and answer upstream 529s on messages routes
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(anthropic): answer an upstream Anthropic 529 as 529 on count_tokens
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(anthropic): use integration coverage for keepalive errors
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): answer an upstream overload with 503 server_is_overloaded on OpenAI routes
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): pass answered overload status to failure hooks
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): preserve Anthropic route exception handling
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(proxy): bind the transformed failure without rebinding the parameter
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(proxy): observe the overload failure hook through a real ProxyLogging
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>
* fix(least-busy): reserve the picked deployment so a burst of requests spreads out
The in-flight count only went up in log_pre_api_call, which runs after
selection and the pre-call hooks. Requests selected in that window all saw
the same counts and landed on the same deployment (16 simultaneous
requests over 4 deployments went as lopsided as 12/4/0/0 in the proxy).
When the router selects for a request it is about to send, least-busy now
records a reservation for the chosen deployment in the same synchronous
step that reads the reservations, and log_pre_api_call turns it into the
normal in-flight count. Selections without request kwargs (token counting,
probes) do not reserve. A reservation whose request never reaches the API
call expires after 30 s. The shared and per-worker counts and their
success/failure decrements are unchanged.
* fix(least-busy): prune expired and empty selection reservations
The reservation map kept a key per model group forever, so a wildcard
route with caller-chosen model names grew it without bound. Drop expired
and empty entries on every write.
Signed-off-by: Oliver Yu <tc3oliver@gmail.com>
* fix(least-busy): keep pick reservations in the shared router cache
Selectors that share a router cache dedupe to one registered callback, so
only that instance saw log_pre_api_call. Reservations held on the other
instances were never released and skewed picks for the full TTL. Storing
them in the router cache's in-memory layer lets any selector release them,
and the per-key TTL replaces the full-map rebuild on every write.
Tests now hold the burst with a barrier instead of a sleep and use a manual
clock object.
* fix(least-busy): restart the reservation TTL on every write
InMemoryCache keeps the TTL a live key was first given, so a reservation
key that kept being rewritten still expired 30 s after its first pick and
took the newer reservations with it. Drop the key before each write so the
TTL counts from the latest one, and leave it deleted once it is empty.
Signed-off-by: Oliver Yu <tc3oliver@gmail.com>
* fix(router): count least-busy decisions calls and release reservations on cache hits
Least-busy now reads the model group from litellm_metadata before metadata, so /v1/decisions calls that carry caller metadata are counted in flight and release their reservation at pre-call. A response cache hit releases its reservation instead of decrementing another request's in-flight count, and Responses WebSocket turn admission selects without reserving. The reservation store is reached through a typed protocol.
* fix(decisions): count proxy /v1/decisions calls in least-busy's in-flight totals
* fix(least-busy): keep reservations out of the shared router cache and count requests that start during a Redis read
Least-busy now reads a call's deployment from the routing metadata the router sets, so /v1/decisions logging params stay as on main and failed decisions calls no longer start cooldowns.
* style(router): wrap the least-busy reservation store line
* fix(least-busy): lock the reservation read-and-update so threaded sync calls keep each other's picks
Router.completion from a thread pool and sync success callbacks can read and rewrite a deployment's reservations at the same time, so one thread's pick or release could be lost.
* fix(least-busy): release a pick whose call ends before reaching the provider
A call that fails or returns before the provider handoff (a 400 for an unsupported param, token counting, a proxy-gate rejection without a start log, batch create) now drops its reservation instead of decrementing a count it never added. Router.select picks and batch cancel no longer reserve, since neither makes a call that logs.
* test(least-busy): give callback fixtures a fixed call-start time
The routing-group tests fed least-busy a finished call without the start time litellm stamps before counting it, so the count stayed up after the fix. Fixtures now use a fixed timestamp instead of the clock.
* fix(least-busy): free tier-group picks, stop lookups reserving, and count only started attempts
Reservations are keyed by deployment id, so a complexity, auto, adaptive or
quality router frees its tier pick when the call starts. Each started attempt
is recorded under its call id, and only a recorded start lowers the count when
the attempt ends, so a fallback hop rejected before the provider frees its pick.
Whether a pick reserves now comes from a context variable set by the routed
call sites, so get_available_deployment and the deprecated
async_get_available_deployment no longer hold a deployment, and custom routing
strategies and Router subclasses keep their method signatures.
* fix(least-busy): free a request's unstarted picks when it ends
Each pick now carries its call id, so a start frees only its own call's pick, and the router frees every pick a request never started once that request ends. A fallback hop rejected before the provider no longer leaves its pick reserved for 30 seconds.
* fix(router): free a least-busy pick when a vector store create ends
* fix(router): free least-busy picks of calls made without a call id
* fix(router): free the least-busy pick of a sync text completion
* test(router): use fixed start times in least-busy fixtures
* fix(router): free the least-busy pick of a sync generic call that fails before its provider
* fix(router): read in-flight counts and start attempts under one lock so a busy deployment never looks free
* fix(router): keep pass-through lookups from reserving least-busy picks
* test(least-busy): wait for the helper thread to start before the timed join
* fix(least-busy): keep realtime sessions out of in-flight counts
---------
Signed-off-by: Oliver Yu <tc3oliver@gmail.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* feat(decisions): add EmpirioLabs AI as a decisions provider
empiriolabs/aplomb-1 now works with litellm.decisions and litellm.systemone, the proxy /v1/decisions and /v1/systemone routes, the decision model guardrail and the Admin UI. Requests go to POST /v1/decisions on the EmpirioLabs AI API with the System One body, keyed by EMPIRIOLABS_API_KEY with an optional EMPIRIOLABS_API_BASE
Chat models keep routing through the existing OpenAI-compatible JSON provider, and a test pins that
* ci: run the EmpirioLabs AI decisions tests in the llms unit shard
* fix: align EmpirioLabs registration with CI gates
---------
Co-authored-by: Adam Dalloul <47503782+Adam-Dalloul@users.noreply.github.com>
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(accounting): replace event scaffolding with SpendLogs projection
* test: preserve spend timestamps without removed capture callback
* fix: guard accounting event removal across schema update paths
* refactor(accounting): retain schema and prepare durable payloads
* fix(accounting): preserve dates in serialized payloads
* fix(accounting): retain schema push compatibility
* fix(accounting): retain span registration for the legacy schema
* test(accounting): remove obsolete capture acknowledgement test
* fix(accounting): date every daily projection row the way the model rollup does
A space-separated startTime kept the whole timestamp as the daily key, while the model usage rollup took the calendar date. Every daily row now uses the same date helper
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* chore(ui): regenerate dashboard API types after rebasing on main
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
* refactor(accounting): project only from the stored accounting payload
project() now reads entities only from the payload's accounting_entities, so
the raw SpendLogs fallback branches are gone. build_accounting_payload() builds
the metadata once instead of dumping it to JSON and parsing it back. Guardrail
usage dates use a tolerant UTC parse, so a malformed startTime drops only the
guardrail rows instead of failing the whole projection.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---------
Co-authored-by: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
* test(e2e): retire the quiet_stack lock
quiet_stack held an exclusive host-wide lock for six tests, draining every
other xdist worker while they ran. On the full e2e lane that left 35-38% of
worker time idle. Each of those tests now lives where it can run without
pausing the suite
- the two memory tests move to perf/ behind the perf marker, so the perf lane
runs them on its own fresh stack. Their refusing deployments use a literal
key because the perf stack carries no provider keys
- the stored-request size check from the memory test becomes an integration
test on an owned proxy that stores prompts
- the discount and margin spend-row tests are dropped from e2e. Their
breakdown assertions join the existing integration pricing test, which
already owns the discount and margin repricing flow
- the Bedrock guardrail cost test stays in e2e without the pricing reset
fixture, since nothing else on the stack writes pricing config now
- the MCP semantic tool filter test turns on a proxy-wide setting, so it gets
a new proxy_wide_config opt-in marker and runs after the main run
* test(e2e): register the claude_code deployments as one batch
The claude_code session fixture registered its 24 deployments one at a time on every xdist worker, and each one waited out the 15 s propagation window on its own, about 6 minutes per worker. ProxyClient.register_models posts the whole batch, polls each model until every replica serves it, then waits out propagation once from the last write. A model that fails to post or never becomes servable comes back as ModelNotRegistered, and an unservable one is deleted, so the fixture keeps reporting per-deployment failures the way it did
* fix(agentic): surface a failed agentic follow-up call instead of the pre-loop tool call
* fix(agentic): surface failed follow-ups from the OpenAI chat dispatcher and update pinned integration tests
* fix(agentic): end a capped agentic turn on chat and responses instead of a retried 500
* fix(openai): run agentic hooks after the first call's error handling so a follow-up error keeps its own type and message
* fix(agentic loop): end capped turns on every chat path and bill the first call when a follow-up fails
A turn refused at max_agentic_loops now drops the internal tool calls of every hook that claims calls in it, while a call the client declared survives. The hosted_vllm and openai chat paths now carry the loop depth, fingerprints and max_agentic_loops into the follow-up, so they stop at the cap instead of looping forever.
A failed follow-up call now records the first call's usage and cost on the request's failure log before the error reaches the client. A code interpreter sandbox that is missing or fails becomes the tool call's output for the model to handle, so the turn completes without a retry.
On native streaming /v1/messages a hook or follow-up failure now reaches the client as an Anthropic error event with the mapped type, and compresr declares its retrieve tool so the stream holds it back. Comments and docstrings the branch added against the repo rule are removed
* fix(agentic loop): bill retried attempts and clean up what failed or capped turns return
The router's retry loop now carries each failed attempt's paid first call into the request's billing, so a request whose follow-up keeps failing bills every first call on its failure row, and one that recovers bills the failed attempt's first call on its success row. A failure row no longer adds unpriced estimated tokens on top of attempts that were billed, so its tokens match its spend
A sandbox failure now answers the model with a fixed sentence and marks the code_interpreter_call as failed, without the sandbox's error text. Code interpreter on /v1/responses with Claude now runs its loop, because the bridged inner call no longer strips the hook's own markers
Dropped internal tool calls leave the kept calls numbered from 0, also on a replayed stream. A capped native /v1/messages stream now says the loop hit its limit and that max_agentic_loops raises it, instead of asking the client to retry
The agentic refusal and hook error logs no longer include the model or the exception text, and the agentic loop helpers take typed messages, params, and read-only fingerprints
* fix(agentic loop): keep a recovered retry's cost breakdown on the response it returns
A retried agentic request that recovers no longer adds the failed attempt's first call to its success row. The proxy keeps the follow-up's own row for that request id, so the added spend never showed up in the stored row, and that duplicate row is tracked separately. When every attempt fails, the failure row still bills each attempt's first call
Pricing a first call for the failure row no longer replaces the request's cost breakdown. Before, a recovered retry answered with x-litellm-response-cost-original, -input, and -output from the failed attempt's first call. Now its headers and logged breakdown match a request that succeeds on its first try
* fix(agentic): stop retrying a request whose agentic follow-up failed and bill every round it served
An error raised by an agentic follow-up after the first call was served now carries a typed mark, so the
router's retry loops, the mid-stream retry, and litellm's num_retries wrapper raise it as is instead of
rerunning the whole request. A failure of the first call itself still retries, and fallbacks still run.
The failure row bills every round the loop served before the failure, at any depth, and a later attempt
that succeeds bills what the failed attempts paid on its success row, with the cost breakdown and the
response cost headers adding up. The error response's x-litellm-response-cost reports the same amount
its failure row bills. Failure rows outside agentic hooks keep the prompt-token estimate they had before.
A refused tool call now matches by id among the refused ids, or by name among refused calls that carry
no id, so a name-only refusal next to an id refusal is no longer kept.
* fix(code_interpreter): delete a session sandbox whose code run failed so the next call starts a fresh one
* fix(code_interpreter): delete only the session sandbox that failed, never its replacement
* test(code_interpreter): type the session sandbox test helpers
* fix(proxy): report what a failed agentic follow-up's failure row bills on /v1/messages errors
* fix(agentic): keep the no-retry mark through error mapping and bill only failed follow-ups on success
An agentic loop error that is not a provider error, such as the streaming chat cap or a crash in a hook's
plan build, now keeps its no-retry mark when litellm maps it to an APIConnectionError, so the router no
longer reruns every paid round. The mark is stored on the exception, so a built-in error can carry it too.
A crash in a hook's plan build on /v1/messages and /v1/responses bills the first call on its failure row.
A recovered attempt adds a failed attempt's usage to its success row only when that attempt was a failed
agentic follow-up. Other failed attempts, such as a dropped stream, log their own row as on main.
A code interpreter sandbox that fails while running the code now says the code may have run but its
result is lost, instead of saying the code did not run.
* test(responses): bill a retried MCP request each attempt on its own row again
Round 4 stopped adding a non-agentic failed attempt to the success row, so this test goes back to main's assertions: the success row bills only its own rounds and the failed attempt's first round stays on its own failure row
* fix(spend): name a failed follow-up attempt the success record already bills
With the usage meter on, a failed agentic follow-up attempt gets its own charge-eligible record, and the request's success record also carries that attempt's usage and cost once the success row bills it. The success record now lists the attempt's record ids in included_attempt_ids, so a reader can tell the success record already covers it. Nothing changes when the meter is off
* fix(spend): count a billed failed follow-up's tokens on the success row
* fix(spend): bill a failed follow-up on a fallback served from cache
* fix(spend): show a billed failed follow-up in a cached fallback's cost breakdown
* fix(spend): keep a failed follow-up's billing state off the request-merged call details
* fix(spend): record the cost breakdown of a successful agentic follow-up
The chat agentic loop returned the follow-up response with the cost its own internal call had already stamped, so the request's logging reused that cost and never recorded cost_breakdown on the spend row. The loop now drops that stamped cost unless the follow-up was served from the cache, and the request prices the response itself
---------
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
* fix(anthropic): answer a 503 as 529 overloaded_error on /v1/messages
Anthropic's error contract has no 503, so a client built against it (Claude Code) treats a 503 from /v1/messages as a plain 5xx and retries it ten times instead of taking its overload path. A Bedrock 503 now leaves /v1/messages and /v1/messages/count_tokens as 529 overloaded_error, for both a JSON answer and a stream that fails before its first byte.
An Anthropic 529 overloaded_error now maps to litellm.ServiceUnavailableError (503) instead of InternalServerError (500), so OpenAI-shaped routes answer it as 503, the status OpenAI documents for an overloaded engine, and router retry and allowed-fails policies key it as ServiceUnavailableError.
* test(proxy): expect overloaded_error on a 503 stream error after a keepalive ping
* fix(proxy): record the 529 the Anthropic routes answer and type the chat stream error frame
The messages route stamps the answered status on the exception before post_call_failure_hook runs, so the spend log row, the OTel server span, the failed-request metric, and alerting record the 529 the client saw instead of the deployment's 503, while the deployment failure metric and cooldown keep the deployment's own status. A chat completions stream error frame names the type its status stands for instead of the null .type ServiceUnavailableError carries. An Anthropic-shaped 503 envelope passes through as 529 overloaded_error through a validated TypedDict, and count_tokens answers every ProxyException as the Anthropic envelope. Five integration tests that pinned 503 on the messages route now expect 529
* test(proxy): expect the top-level Anthropic envelope from count_tokens errors
count_tokens now answers a ProxyException as a JSONResponse carrying the
Anthropic error envelope instead of raising HTTPException, which FastAPI
wrapped in {"detail": ...}. The three legacy error-format tests now read
the response body and check that no detail wrap is left.
* test(proxy): cover the 529 overloaded_error answer across routes, cooldown, and retry budgets
* fix(anthropic): keep Anthropic overloads as InternalServerError and answer 529 from the provider status
An upstream Anthropic 529 stays litellm.InternalServerError (status 500) so
InternalServerErrorRetries, InternalServerErrorAllowedFails, SDK handlers,
and the OpenAI-shaped routes behave as on main. The error now carries
provider_status_code, and the /v1/messages routes answer 529
overloaded_error from it.
* refactor(proxy): unwrap a mid-stream fallback error once instead of recursing for the provider status
* fix(anthropic): keep count_tokens' detail body, end keepalive streams with an Anthropic error event, and log any 529 as an overload
* test(integration): cover the audit round 3 cells and expect 529 on the count_tokens 503 cases
* fix(proxy): re-raise an unchanged stream HTTPException as itself and walk nested mid-stream fallbacks for the provider status
* fix(proxy): walk nested mid-stream fallbacks without recursion
* fix(anthropic): preserve 503s and answer upstream 529s on messages routes
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(anthropic): answer an upstream Anthropic 529 as 529 on count_tokens
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(anthropic): use integration coverage for keepalive errors
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>
* chore(cost-map): remove the 52 rows whose provider retired them before 2026
* test(utils): pin the proxy function-calling parity case to azure/gpt-4.1
* test(batches): price the Azure batch-logging regression case against gpt-4.1
---------
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(credentials): preserve stored info when patching credentials
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(credentials): type patch test parameters
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>
* fix(router): keep a deployment's token limits off the shared backend cost map key
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(router): preserve catalog token limits on shared keys
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(router): use catalog for shared token limits
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(anthropic): drop the class attribute patch from the deployment max_tokens test
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(router): avoid provider auth during catalog key resolution
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: mateo <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The MCP SDK server answers a notification POST with 202 before it hands the notification to the session. When the gateway sends DELETE right after `notifications/initialized`, the session can close in that gap, and the SDK logs an ASGI error that fails the test at teardown. Wrap the upstream with the existing `_acknowledge_notifications_after_dispatch` helper the other SDK peers already use, so the 202 only goes out once the session has the notification
Co-authored-by: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
* feat(proxy): add LITELLM_FIPS_MODE startup gate
With LITELLM_FIPS_MODE=true the proxy refuses to start when TLS verification
is off, when Python's OpenSSL does not enforce FIPS, or when the startup
password migration fails. A value that is not true/false also refuses.
* feat(proxy): refuse FIPS mode when cryptography's OpenSSL is not FIPS
The stock cryptography wheel bundles its own non-FIPS OpenSSL, which serves
JWT, Fernet and AES-GCM even when Python's OpenSSL enforces FIPS.
* fix(proxy): refuse FIPS mode when cryptography's FIPS provider cannot hash
The stock cryptography wheel reads the host's FIPS config and reports FIPS on,
but its bundled OpenSSL cannot load the host's FIPS provider, so every
operation fails. Require a working SHA-256 alongside the FIPS flag.
* fix(proxy): refuse TLS verification off anywhere in FIPS mode
A model's own ssl_verify: false reached the HTTP client after the startup check
passed. get_ssl_verify now raises in FIPS mode whenever verification resolves
to off, which also covers the startup check.
* refactor(proxy): return FIPS boot refusals as values and harden the FIPS tests
* fix(proxy): stop refusing TLS verification off in FIPS mode
Skipping certificate verification is a security choice, not a FIPS one:
the TLS connection still only uses algorithms the FIPS provider allows.
* feat(fips): refuse a database used without FIPS mode, drop the password migration change
FIPS mode marks a new database with a fips_mode row in LiteLLM_Config and refuses one that already holds
LiteLLM rows without it. Without FIPS mode, the proxy refuses a database carrying the marker.
* test(fips): close the database test clients with aclose so the engine stops
* feat(fips): read FIPS mode from general_settings.fips_mode instead of LITELLM_FIPS_MODE
* refactor(fips): keep fips_mode out of the API-writable general settings, it is read from the config file only
* fix(fips): retry the startup marker and state reads once after a dropped connection
A dropped connection during the non-FIPS marker read used to count as an unmarked
database, so a blip at boot let a non-FIPS proxy start on a FIPS database. Both reads
now go through call_with_db_reconnect_retry, the reconnect-and-retry the other startup
reads use. A read that still fails keeps its old outcome.
* fix(fips): refuse a fips_mode key that has no value
fips_mode: os.environ/X with X unset, or a bare fips_mode: / null, resolved to None and
started without FIPS mode and without a message, while an empty string refused. A key
that is present now has to be a boolean; only a config without the key means off.
* refactor(fips): move the database check out of the boot gate
The boot gate keeps the setting and the two OpenSSL checks. The check that a
database matches the FIPS setting moves to its own PR, so a boot without the flag
runs no extra database read.
* test(fips): pin how a fips_mode string is read through enforce_fips_mode
* fix(proxy): omit cost headers for unpriced responses
* fix(proxy): preserve declared free response costs
* refactor(proxy): share the cost map pricing lookup for the response cost header
The header check now reuses the same raw entry, fill-missing and rule lookup that
cost model selection uses, so the two can't drift apart. It also counts every declared
rate field, so a free model priced only per request keeps its 0.0 header
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---------
Co-authored-by: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
