Commit graph

15 commits

Author SHA1 Message Date
Mateo Wang
b39eadcb82
feat(openai)!: honor per-deployment workload identity on non-chat routes (#39966)
* feat(anthropic): workload identity federation and pluggable identity sources

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

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

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

Fixes #28607
Resolves LIT-6107

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

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

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

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

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

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

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

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

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

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

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

* feat(openai): honor per-deployment workload identity on non-chat routes

Image generation, audio speech and transcription, moderation, text
completions, files, batches, and fine-tuning built their OpenAI client from
the env vars alone, so a keyless deployment carrying
openai_identity_provider_id, openai_service_account_id, and
openai_identity_token_file failed with the api_key error on every route
other than chat, Responses, and embeddings. Those handlers now build their
client through the shared workload identity resolver, and the managed batch
file-access credential extraction keeps the trio

* fix(openai): cache workload identity clients and let deployment identity outrank process-wide keys

Non-chat handlers built a fresh SDK client per call, so files, batches,
fine-tuning, text completion and sync moderation exchanged the OIDC token on
every request. The builders now reuse the cached workload identity client per
identity, base, timeout, retries and organization; static-key clients are
still built fresh.

A process-wide OPENAI_API_KEY (or litellm.api_key / litellm.openai_key) no
longer silently overrides a deployment's openai_identity_* params. An explicit
distinct api_key on the deployment or call still wins.

* fix(openai): keep shared workload identity clients on the process http session

The workload identity client is cached and shared across requests, so it must
never borrow the transport a single caller passed in. Static-key clients keep
using the caller's http client; federated clients always ride the process-wide
session. Also makes the http client helpers on BaseOpenAILLM public since the
builder now needs them from outside the class.

* test(openai): pin partial deployment identity beating the process key

* test(openai): type the managed-object invoke callback

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

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

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

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

* feat(openai): honor deployment workload identity on image edits, vector stores, containers, videos, and evals

The httpx-based OpenAI handlers built their Authorization header from the
deployment api_key or OPENAI_API_KEY alone, so a keyless deployment carrying
openai_identity_provider_id, openai_service_account_id, and
openai_identity_token_file sent "Bearer None". They now resolve the bearer
through resolve_openai_bearer_token, which exchanges the deployment's
identity token the same way the SDK-based routes do.

A deployment that carries only part of the identity trio now raises a 500
naming the missing field instead of silently falling back to the process
key, and the SDK client builders take a factory for the static-key http
client so the federated branch never touches litellm.client_session.

* fix: keep anthropic federation from being shadowed or leaked

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

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

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

* feat(openai): resolve per-deployment workload identity for the assistants routes

OpenAIAssistantsAPI built its OpenAI and AsyncOpenAI clients from a locals() scrape, so a deployment carrying openai_identity_provider_id, openai_service_account_id and openai_identity_token_file never exchanged a token. Thread litellm_params through the class and build both clients with the shared workload identity builders.

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

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

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

* feat(openai): resolve per-deployment workload identity for image variations

Build the image variations client through the shared workload identity
builders instead of scraping locals(), and give the async path the async
http session it was missing. Let a federation trio serve the model-less
batch fallback, and hold the standard LRU size of exchanged tokens.

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

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

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

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

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

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

* style(tests): keep two blank lines before the batch_cost_is_final block

* test(batches): type the workload identity fallback test fixtures

* fix(moderation): stop validating unrelated kwargs on the sync workload identity path

* fix(auth): refuse server-owned workload identity keys in array form and inside a client router config

* fix(openai): keep a deployment's own key ahead of workload identity on every route

Thread the caller's own api_key into the identity resolver for embedding, transcription, moderation,
image generation, and assistants so a deployment key equal to the process key still wins. A partial
identity trio now falls back to a configured static key, unset max_retries keeps the SDK default, and
/v1/decisions plus OpenAI count_tokens resolve the exchanged bearer for identity-only deployments

* fix(containers): pass deployment params to container file auth headers

Container file routes built their auth headers without the deployment's
litellm_params, so a keyless deployment with an OpenAI workload identity
sent Bearer None on upload, list, retrieve, delete and content calls

* fix(openai): keep process-wide key precedence and move token exchange off the event loop

Restore the merge base order where an explicit or process-wide OpenAI key wins over
federation, so exporting OPENAI_API_KEY keeps working the way it did before.

Run the header-building validate_environment calls (image edit, videos, containers,
vector stores, vector store files) and the decisions and System One request
preparation in a worker thread, so a slow token exchange no longer stalls the loop.

Federate realtime websocket sessions, live sessions, realtime client secrets and
transcription sessions, and the OpenAI moderation guardrail when no key is set.

* fix(openai): answer 401 for a partial identity trio and federate realtime health checks

A deployment with part of the workload identity trio and no static key now
fails as an auth error naming the missing params, so the router does not retry
it as a server error. The realtime health check sends the exchanged bearer for
a keyless federated OpenAI deployment, and API token counting reads the same
static keys as every other route before minting.

* fix(openai): keep local token counting without an identity trio and federate the moderation guardrail from its own config

* fix(openai): skip a partial-trio moderation guardrail and let vault keys win in token counting

* test(integration): refuse caller-chosen identity params in user_config and bracketed form keys

* fix(openai): send the honored secret manager key from SDK client builders

A deployment whose OPENAI_API_KEY lives only in the secret manager now sends that key
on image, assistants, files, batches, and other SDK-built routes instead of failing with
no api_key, matching what the workload identity resolver already treats as a static key

* test(openai): check the token exchange runs off the event loop instead of timing the loop

---------

Co-authored-by: derhornspieler <15236687+derhornspieler@users.noreply.github.com>
2026-10-16 22:25:15 +00:00
devin-ai-integration[bot]
30ada9d26a
feat(batches): store each batch line's request and response in S3 and GCS (#41691)
* feat(batches): emit per-line JSONL batch records to callbacks

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

* fix(batches): only emit line items for final batches

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

* chore(deps): bump soupsieve to 2.9.2 for GHSA-gjv8-xp57-g29c and GHSA-j934-xhv5-fg8f

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

* style(batches): satisfy ruff format for line item logging

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

* chore(ui): regenerate schema.d.ts for store_batch_line_items_in_callbacks

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

* test(batches): cover line-item edge shapes and general settings propagation

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

* fix(batches): keep deployment credentials out of callback-visible params

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

* refactor(batches): declare credential transport attribute on Logging

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

* test(batches): integration contract for per-line batch callback events

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

* fix(proxy): resolve store_batch_line_items_in_callbacks through the settings store

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

* test(batches): assert per-line events beside the aggregate and create events

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

* fix(proxy): drop resurrected use_legacy_interactions_schema shim from merge

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

* test(batches): assert line item events carry no credentials

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

* fix(proxy): reset batch line-item flag when the setting is absent

Removing store_batch_line_items_in_callbacks from the DB general settings left the module flag at its previous value because the effect early-returned when the key was neither in the DB nor owned by YAML. The proxy owns the global, so an absent resolved value now writes False.

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

* fix(batches): map anthropic batch lines through the anthropic message transformer

Anthropic result lines carry a message-shaped body, so ModelResponse(**body) produced empty choices and a usage key that blocked the batch-rate usage attach. Extract the existing AnthropicResponse -> ModelResponse conversion used for /v1/messages logging into anthropic_message_to_model_response and reuse it for anthropic line items.

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

* style: tag the anthropic result cast with a cast-ok reason

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

* style: shorten cast-ok reason so ruff format passes

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

* fix(batches): skip line-item callbacks for providers without a line reconstruction

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

* fix(batches): reconstruct bedrock and mistral batch lines through their provider transformations

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

* style: wrap widened provider literals so ruff format passes

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

* fix(batches): pair bedrock lines by recordId and type them from the reconstructed response

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

* fix(batches): keep line item events out of proxy limiters and strip credentials from child params

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

* fix(batches): keep cast-ok tags on the flagged cast lines for the discipline gate

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

* fix(batches): skip failed line item events in parallel request limiter failure hooks

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

* test(batches): tolerate lifecycle spend rows when asserting no line item rows

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

* fix(batches): place mutable-ok tags on the lines the discipline gate flags

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

* fix(batches): skip router budget accounting for batch line item events

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

* fix(batches): keep anthropic line errors and skip native vertex batch rows

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

* test(batches): restore test-quality tags on line item tests

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

* test: move batch line-item unit test to tests/unit after merging main

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

* fix(batches): emit batch line-item callbacks once per batch

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

* fix(batches): release line-item claim when fan-out emitted nothing

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

* fix(batches): make the line-item claim release ownership-safe

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

* fix(batches): keep bodyless failed batch lines reaching callbacks

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

* fix(logging): seed batch line hidden params in get_hidden_params defaults

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

* perf(batches): reuse fetched batch result files for line-item logging

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

* fix(batches): release line-item claim when nothing was emitted

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

* fix(batches): type batch line-item callback sites to satisfy basedpyright budget

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

* style: wrap batch hidden-params cast for ruff format

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

* fix(batches): reason suppressions for batch line-item lint deltas

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

* chore: drop stale mutable-ok suppressions after LIT002 removal

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

* fix(batches): skip batch line-item events in ClickHouse spend sink and router quota counters (#44486)

* fix(batches): skip batch line-item events in ClickHouse spend sink and router quota counters

Batch line-item callbacks (call_type=acompletion + litellm_params.batch_parent_id)
bypassed the call-type-only batch guards:

- ClickHouseSpendLogger wrote one spend row per line on top of the aggregate
  aretrieve_batch row, billing every batch twice with the flag on.
- Router deployment callbacks and the routing-strategy usage handlers charged the
  historical batch's tokens/rpm to the live TPM/RPM counters, so after
  Router.aretrieve_batch the next chat raised RouterRateLimitError.

Skip these events wherever the aggregate batch retrieve is already skipped.

* fix(logging): keep internal litellm_params authoritative in model_call_details

A request body key named litellm_params lands in optional_params, and
update_environment_variables merged **optional_params after the internal
entry, so a caller could overwrite the logging kwargs' litellm_params and
forge markers like batch_parent_id. Live-reproduced: a Gemini chat whose
body carried {"litellm_params": {"batch_parent_id": ...}} returned 200
with no ClickHouse spend row. Re-assert the internal litellm_params after
the merge so every sink (ClickHouse, Postgres, router quota counters)
reads the same trusted value, and assert the aggregate aretrieve_batch
row still writes in the ClickHouse line-item test (review finding).

* fix(clickhouse): skip failed batch line items in the spend sink too

A failed JSONL line is part of the aggregate aretrieve_batch row's
request counts; writing it its own spend_logs row inflated request
counts with the line-item flag on. Extend the batch line-item guard to
the failure handler (review finding) and pin both directions: a failed
line item writes no row, a genuine live failure still does.

* fix(batches): declare batch_line_items service family on claim calls

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

* fix(integrations): keep batch line items out of the built-in metering sinks

With store_batch_line_items_in_callbacks on, per-line batch events carry a
real response_cost and reached six metering sinks that lacked the
is_batch_line_item_event guard, so a completed batch metered aggregate +
per-line (roughly 2x true spend): prometheus (litellm_spend_metric and
request counters), openmeter, lago, datadog cost management (FOCUS
BilledCost), newrelic metrics, and the OTel v1/v2 gen_ai.usage.cost
metrics. Skip line-item events in each sink's success/failure metering
entry points, matching the guards already on the Postgres and ClickHouse
spend sinks. OTel spans for line items are still emitted; only their
cost/token metrics are skipped. Tests drive real sink instances on the
real dispatch lists through a completed 2-line batch and assert each
sink meters exactly the aggregate.

* style: format metering-sinks test

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

* fix(otel): skip synthetic line-item durations in v2 metrics; isolate prometheus test

Follow-ups from review on the sink guards: record_failure() now skips
batch line items too (a failed line's interval measures retrieval and
emission, not its model call), and the prometheus guard test snapshots
and restores the process-wide registry collectors instead of leaving
them unregistered. The OTel v2 test is now a flag on/off A/B over the
whole metric snapshot: cost and usage values must match exactly and no
metric may gain datapoints with the flag on.

* chore: finish main merge conflict resolution for batch line items

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

* style: sort imports in litellm_logging after main merge

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

* test(batches): use the public hook class names main now exports

* fix(batches): only the batch writer can mark a callback event as a line item

amoderation, transcription and speech build litellm_params from every request kwarg,
so a body field named batch_parent_id reached Logging.litellm_params and every
spend, budget and rate-limit hook skipped the request. update_environment_variables
now drops an incoming batch_parent_id; the line-item writer sets it through
Logging.mark_batch_line_item. Batch line hidden params are emitted only when set.

* chore(batches): keep the lint gates within main's ceilings after the merge

Typed the helpers main now types (Mapping litellm_params, Any Span), replaced the
banned cast with a literal match, dropped isinstance checks main made redundant,
and moved test-quality reasons onto the lines the gate reads.

* fix(anthropic): read the message id off the validated message

The anthropic_messages logging path can hand over an already parsed message object,
which has no .get; main read its id through getattr, so take it from the validated
AnthropicResponse instead.

* fix(batches): an unreadable error file no longer drops the output line events

Costing counts an error file it could not fetch as no failed lines; line logging
refetched it and the raise aborted the whole fan-out, so the successful lines were
never emitted. The error file now reads as empty with a warning.

* test(batches): pin billing for batch_parent_id on every endpoint and value shape

Chat completions, embeddings, responses and messages join moderations, speech and
transcriptions, and speech is driven with an empty, int, list, object and 5 KB value.

* test(batches): bill every request of a concurrent burst mixing forged and plain bodies

* revert: keep the line-item fan-out all-or-nothing on an unreadable error file

85fc4498cc emitted the output lines and kept the batch claim when the error file
could not be read, so its failed lines were never retried. Raising releases the
claim and the next retrieve retries the whole fan-out.

* test(batches): pin the all-or-nothing retry and warm the burst model first

An unreadable error file emits no lines and the next retrieve emits all of them.
The burst cell drives one speech model after a warm-up request so a cold worker
cannot fail it, and waits for the batched key spend.

* fix(batches): run the line fan-out outside the aggregate event's deadline

The logging worker cancels a callback coroutine after its per-callback
deadline, and the line fan-out ran inside the aggregate aretrieve_batch event
before its callbacks, so a large batch or a slow sink could cancel the
aggregate billing event. The fan-out now runs in its own task, built from a
copy of the parent's litellm_params taken before the aggregate callbacks
write their request-local markers.

Anthropic keeps no input file and reports input_file_id "None", which the
fan-out fetched and failed on, so no Anthropic line ever arrived. That id is
now treated as no input file.

* fix(batches): let running line fan-outs finish before proxy shutdown closes their clients

A started fan-out keeps its batch claim, so a shutdown that cut it short
skipped the unsent lines until the claim expired. proxy_shutdown_event now
waits up to MAX_TIME_TO_CLEAR_QUEUE for them first. Also replace a test's
type: ignore with an isinstance check.

* fix(batches): keep batch line fields off callback kwargs and skip fan-outs at shutdown

Line bodies were spread into the callback kwargs, so a line's metadata could settle router rate limit reservations; they now stay in optional_params, and the router rate limit and prompt caching hooks skip line events.
A retrieve logged after the shutdown drain, or by the logging worker's exit flush, no longer starts a fan-out its loop would destroy while it holds the batch claim.
The output file is fetched before the error file again.

* fix(batches): log batch lines under the retrieve's callback settings and keep them out of alerting and shadow eval

Line events inherit the retrieve request's key and team callback settings, so turn_off_message_logging and per-team logging credentials apply to them, and they keep the system prompt in the logged messages.
Shadow eval, Datadog metrics, Slack daily reports and PagerDuty skip line events, since the batch API served them and the aggregate event already counts the batch.

* test(batches): line events follow the key's message logging opt-out

* test(batches): line events follow team logging settings, keep the line system prompt and survive a restart once

* fix(batches): keep in-memory line claims for 10,000 batches and pin managed batch emission across poller and retrieves

* Keep batch line unit tests in-process and drop repeated per-sink comments

* Share one batch provider alias across batch_utils and line item logging

* Report Bedrock line status codes, skip unknown Bedrock lines without raising, fetch the input file after the native Vertex check

* Read a swallowed Redis claim failure as unavailable, price unpriceable lines at zero, keep the OTel failure docstring

* Call handle_completed_batch when line items are off, keep a cache test from leaking Redis into the line claim cache, pin an unpriceable line's zero cost on the callback kwargs

* Hand the cost poller's credential snapshot to line item file reads, so a managed Bedrock batch's lines read its input from the deployment bucket

* Log batch lines through the sync callbacks a direct async call runs, keep failed lines out of router cooldown counts, and emit an error line whose body is text

* fix(batches): log failed Bedrock embedding lines as embeddings with their input

A Bedrock batch input record carries no url, so a failed Titan v2 line fell back to acompletion and its
inputText never reached the event messages. The failed line now takes aembedding from the deployment
model and the record's inputText is the line input

* fix(batches): keep a Bedrock line's system prompt in its logged messages

Bedrock batch input records hold the system prompt as content blocks, which logging only reads off the kwargs as text, so Claude and Nova lines dropped it

* feat(batches): store per-line batch requests and responses in S3/GCS via batch_line_item_callbacks

Replace the per-line logging path with a dedicated hook. When the hourly batch cost
poller finishes a managed batch, it pairs every output and error line with its input
line, prices each line, and hands one payload to every logger listed in
litellm_settings.batch_line_item_callbacks. s3_v2 and gcs_bucket write it as one
NDJSON object per batch under batch_line_items/<day>/<batch id>.jsonl.

Bodies are dropped and the header kept when the creator key or team, the global
setting, or the logger itself turns off message logging, and when the creator can
no longer be found. A failed upload is logged and never blocks spend tracking.

* fix(batches): store batch line items after the batch is billed and retired

Send a billed batch's lines only after its row is marked complete, so a slow or
failing sink never holds a claimed batch open. Skip reading the input file when
the bodies are dropped anyway, still send the error lines of a batch whose output
file is gone, and end every NDJSON record with a newline.

* test(batches): cover team-level and deleted-key redaction of batch line items

* fix(batches): store batch line items in the background so a hung bucket never holds up billing

The poller now retires a batch first and hands its line items to a per-worker background store that runs one batch at a time. A slow, hung or failing bucket no longer delays billing or retiring the other batches in the poll cycle. While a poll cycle's worth of batches is still waiting to store, the next batch's lines are dropped with an error.

* fix(batches): store an unbilled batch's line items only once it is retired

When retiring an expired, cancelled or all-failed batch fails, the batch stays on the poll page, so its lines are no longer read and stored again on every poll cycle until it is retired. The poller also releases a billed batch's output bytes before reading the next batch's output, as it did before line items existed.

* fix(batches): price and write batch line items off the event loop

Pricing every line of a large batch and serializing its object ran on the
proxy's event loop, so a 50k-line batch stalled the worker for seconds.
Both now run in a worker thread. An object the bucket refuses for good is
no longer kept in s3_v2's drop marks, which only a log-queue flush clears.
Vertex AI input rows carry the custom_id in their key or request labels, so
their lines now get the request too.

* fix(batches): pair no request for a shared custom_id and wait for an unclaimed batch's retry

A Vertex AI embeddings entry whose input is a list is split into one row per
item, all with the same custom_id, so its line now gets no request instead of
the last row. On a database without batch_processed nothing claims a billed
batch, so when marking it complete fails it stays in the poll page and its
lines now wait for the next poll instead of being written on every cycle.

* fix(batches): store batch line items only once the poll has billed every batch

Pricing a large batch's lines on a worker thread still competes with the poll for the GIL, so the next batches
in the same poll were billed and retired seconds later. The background stores now wait until the poll cycle that
queued them has finished.

* fix(batches): hash line-item objects off the event loop and keep lines with a lone surrogate

A batch's whole line-items object was hashed for its S3 PUT on the event loop, and a line
holding a lone surrogate from a provider's JSON escapes made the object impossible to
encode as UTF-8, so the batch's object was never written. The object is now prepared in a
worker thread, and only the line that cannot be encoded is written with escaped characters.

* fix(batches): keep request and response for batches created without a virtual key

A batch created with a JWT has no API key on its row, and its line items were stored without
request and response as if its creator had been deleted. Such a batch now follows its team's
and the proxy's message logging settings, the same as a master key batch. A deleted key or team
or a failed lookup still drops the bodies.

* fix(batches): pair line items with the right request on every deployment and skip empty objects

A batch retired with nothing billable now reads its input file by the id the provider reported, so a batch that
ran on the second deployment of a model group keeps each line's request. A Vertex AI line read as custom_id
"unknown" pairs with no input row, and a batch whose files hold no readable line writes no object

* fix(batches): let OAuth2 batches follow team and proxy message logging settings

The line-item redaction check looked up every saved creator credential other than the master key or a CLI session as a virtual key. An OAuth2 batch saves the raw token, so it read like a deleted key and lost its request and response

It now looks up only a saved value shaped like a virtual key's hash, reusing is_valid_sha256_hash, so OAuth2 batches follow their team's logging settings and the proxy-wide setting while deleted keys still fail closed

* fix(batches): hash the creator credential and write batch line items in parts

The creator credential reaches line metadata only as a sha256 hash, so an
OAuth2 token or the master key alias is never written to the bucket. A queued
store keeps only whether the batch was billed and downloads the output file
again at its turn, logging an error naming the batch if that fails. Lines are
built and uploaded one part at a time, each closing once its raw request and
result bytes reach BATCH_LINE_ITEMS_MAX_PART_BYTES (16 MiB by default), with
the input file indexed by byte span instead of parsed up front.

* docs(batches): say async_log_batch_line_items is called once per part

* fix(batches): log an error when a batch's deployment is gone before its line items are stored

---------

Co-authored-by: shivam <shivam@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: yucheng <yucheng@berri.ai>
2026-10-15 11:32:56 -07:00
devin-ai-integration[bot]
0e26edfdb9
test: move 81 legacy live tests in pass-through, spend, batches, audio, search, guardrails, image and ocr dirs offline (#45288)
* test: make legacy live tests in spend, batches, openai endpoints and audio dirs offline (partial)

* test: migrate wave-1b live tests offline (guardrails, images, ocr, search, openai endpoints)

* test: fix wave-1b review items, add responses/ocr integration tests and firecrawl unit test

* test: anthropic messages router/bedrock/openai-bridge unit tests for wave-1b nodes

* test: anthropic messages logging, prompt-caching and tool-search unit tests; drop migrated base nodes

* test: finish pass_through_unit_tests nodes, logging drain fix and mutations

* test: migrate anthropic passthrough tests to integration wire tests

* test: fix passthrough migration wire spend row lookup and wildcard config

* test: migrate hosted vllm and openai file passthrough tests offline

* test: move assemblyai and vertex passthrough nodes to in-process unit tests

* test: restore unlisted router node and fix logging worker drain in passthrough unit tests

* test: drop spend-row BUG skip and sharpen non-streaming skip reason for anthropic messages

* test: use public presidio alias after merge

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

* test: restore the batch and file unit tests the migration rewrote away

* test: restore full legacy intent in anthropic messages router unit tests

Drop the false BUG skip on non-streaming aanthropic_messages logging (success
callbacks do fire; the skipped body filtered on the wrong model), assert the
logged model_group, messages, cost and usage, cover streaming logging for both
Anthropic and Bedrock invoke, assert dict content blocks for Anthropic, Bedrock
invoke and the OpenAI bridge, add the Bedrock invoke leg of the router test,
fall back from a real 401, test system-prompt caching and streaming
message_start cache fields on converse and invoke, send the legacy tool-search
tools and beta header, remove the type: ignore and bare dict helper, and add
in-process native /anthropic passthrough spend logging tests

* test: fix passthrough migration wire tests and drop false native spend BUG skip

The native spend row test read rows by the shared master-key digest, so it
matched other tests' rows; read each row by its own message id instead and
assert tokens, total, spend, tags, provider, api_base and end_user on both the
non-streaming and streaming native routes. Merge the streaming test that never
checked spend, assert exact tags from litellm_metadata, stop rebinding a Final
in a loop, require cost > 0, and add the chat-completions bridge cost case the
legacy test covered

* test: harden the spend, OCR, image, search and guardrail migration replacements

The OCR spend tests now build fresh kwargs per case instead of mutating a
shared fixture, and every payload case asserts the exact logged spend. The
OCR wire test reads its spend row by request id and checks exact page
pricing. Image edit, Nova Canvas, DuckDuckGo, Firecrawl, Bedrock guardrail
and Presidio replacements now fake only the provider HTTP boundary (respx or
an in-process aiohttp server) and assert the outbound request, so the
DuckDuckGo limit, Azure base_model pricing and guardrail masking are proven
rather than assumed

* test: cover Exa and Perplexity search structure and max_results offline and retire the two base search methods

* test: drive batch and file replacements through the provider HTTP boundary and real logging callback

Replace monkeypatched litellm.afile_content and AsyncHTTPHandler doubles with respx routes,
read batch logging metadata from a registered success callback instead of get_logging_payload,
use the real managed-files hook for the GEN-2166 regression, assert outbound request bodies,
pin poller ownership explicitly in the migrated DB-sync tests, and require the scripted
upstream to be hit in the responses error-status wire tests

* test: assert file content download headers pass through the proxy

* test: point spend coverage references at the tests that replaced the retired spend job

* test: assert passthrough identity, spend and route dispatch from the code under test

The AssemblyAI non-admin test asserted metadata it wrote itself and leaked a
background poll to the real AssemblyAI host. It now drives assemblyai_proxy_route
with a real Request and waits for the success callback for its own transcript id.
The Vertex spend test matches its log by call id instead of taking the first event.
The OpenAI files wire test hit the native /{provider}/v1/files route; it now calls
/openai/files so the passthrough is what forwards the upload and delete.

* test: mock only the HTTP boundary in the migrated audio tests

Vertex TTS tests no longer replace _ensure_access_token or AsyncHTTPHandler.post;
the token comes from a mocked Google OAuth endpoint and the synthesize call from
respx. Speech tests assert the outbound body, the transcription cache test polls
for the cache write instead of relying on test ordering, and the model pass-through
test checks the multipart model field per model.

* test: wait on a logger event instead of polling the clock in anthropic messages unit tests

Recorders keep payloads in a rebound tuple and set an asyncio.Event; tests
await it with asyncio.wait_for instead of a sleep-and-deadline poll loop

* test: freeze module-level batch and file response fixtures as Final MappingProxyType

* test: fake the presidio analyzer with an in-memory aiohttp connector

The blocked-entity tests started an aiohttp TestServer, which binds a local
socket. They now hand the guardrail a ClientSession whose connector answers
/analyze and /anonymize in process, so no socket is opened and the outbound
analyze text and entities are still asserted

* test: type anthropic messages router test helpers with LiteLLM's Anthropic TypedDicts

Messages, cached system blocks and tool-search tools now use
AnthropicMessagesUserMessageParam, AnthropicMessagesTextParam,
AnthropicToolSearchToolRegex and AnthropicMessagesTool instead of bare
dict shapes; tools are converted to plain dicts only at the acreate call,
whose tools parameter is list[dict]

* test: type batch limiter helpers with TypedDicts and wait on the logging callback event instead of polling

* test: give the migrated OCR, image and presidio helpers precise types

OCR spend helpers take ReadOnly TypedDicts for kwargs and responses and use
LiteLLM's OCRResponse/OCRUsageInfo instead of local pydantic stand-ins; spend
metadata is validated with a TypeAdapter. The presidio fake uses LiteLLM's
PresidioAnalyzeRequest/ResponseItem types, and the image-edit logger validates
the logged payload instead of storing an untyped dict

* test: signal callback and cache events instead of polling

Recorders keep tuples and set an asyncio.Event, thread-safely, when the payload
for this test's transcript id or upstream URL arrives. The transcription cache
test waits on a Cache subclass that signals after async_add_cache. No clock
polling or sleeps remain in these tests.

* test: assert the batch limiter hook updates the caller's request in place

* test: tolerate model-list probes and read native passthrough rows by owned key

The router's OpenAI-compatible model-info refresh (litellm/router.py:10710)
sends GET /v1/models to configured openai api_bases, so the wire answers it
with an empty list and excludes it from the provider-call assertions. Native
/anthropic spend rows are now read by a per-request virtual key digest and
call_type, then the row's request_id is checked against the message id

* test: expect the OCR alias in the proxy response model

The proxy restamps every OpenAI-compatible response model to the name the
client requested (_override_openai_response_model), so /v1/ocr returns the
scenario alias. The upstream model is now checked on the drained request body
instead of inside the peer, where a failed assert never reached the test

---------

Co-authored-by: yuneng <yuneng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-08 02:38:12 -07:00
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>
2026-10-07 18:59:27 -07:00
devin-ai-integration[bot]
fa2c8984ba
test: move the unit half of 126 mixed legacy files into tests/unit (#45090)
* test: move the unit half of 126 mixed legacy files into tests/unit

* test: restore litellm globals that moved tests set

* test: finalize migration test cleanup

* test: restore original bodies of moved legacy tests

The move into tests/unit had rewritten 612 test bodies, and some of the rewrites dropped assertions. Each moved test now carries its original body from the legacy file, with only the imports, helpers, fake provider credentials and monkeypatched env it needs to run under tests/unit

test_timeout_streaming goes back to tests/local_testing because it needs the fake OpenAI endpoint server. The image payload fixture moves with its only user, and two tests that leaked global state (a registered model cost entry and queued logging tasks) are now isolated

* test: drop module imports shadowed by restored local imports

* test: assert on LiteLLM output in no-assertion moved tests and isolate leaks

Twenty no-assertion candidates get one assertion on the value LiteLLM returns, with the original lines unchanged. Four tests go back to their legacy files because they only check types or imports, write into the working directory, or cannot assert without a body change

Two moved tests leaked globals into later tests in the same worker, so monkeypatch fixtures now restore the retry-after header parser and the end user cost tracking flags

* test: drain queued logging tasks before the Phoenix span test

The moved Phoenix test counted spans from logging tasks that earlier tests had queued, so the drain fixture moves to tests/unit/conftest.py and both it and the Datadog batch test use it. test_factory_function goes back to its legacy file because its returned wrapper calls the real Assistants API and cannot be asserted on without a body change

---------

Co-authored-by: yuneng <yuneng@berri.ai>
2026-10-07 14:07:43 -07:00
devin-ai-integration[bot]
e2971e0af4
refactor(llms): expose public names for private provider helpers (#45037)
* refactor(litellm): migrate private usage in llms

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

* fix(litellm): preserve Bedrock batch signature marker

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

* refactor(litellm): migrate llms private usage symbols

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

* fix(litellm): preserve UUID Watsonx project IDs

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

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

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

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

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

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

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

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

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

---------

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

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

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

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

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

* test: fix moved-test isolation and router coverage

* test: add Tinyfish search package marker

* test: isolate moved tests from logger state leaks

* test: isolate Helicone logging fixture state

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

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

* ci: restore CircleCI assistant test selection after move

* test: prevent Datadog datetime import shadowing

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

* test: deduplicate imports in rebased unit tests

* test: remove duplicate passthrough router patch import

* test: remove moved legacy source files after rebase

* test: align moved tests with rebased main

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

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

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

---------

Co-authored-by: yuneng <yuneng@berri.ai>
2026-10-07 05:02:28 +00:00
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>
2026-10-07 00:05:27 +00:00
devin-ai-integration[bot]
0ed1c08f02
feat(anthropic): workload identity federation and pluggable identity sources (#44448)
* feat(anthropic): workload identity federation and pluggable identity sources

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

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

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

Fixes #28607
Resolves LIT-6107

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* fix: keep anthropic federation from being shadowed or leaked

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: derhornspieler <15236687+derhornspieler@users.noreply.github.com>
Co-authored-by: mateo-berri <happymvw@gmail.com>
2026-10-03 17:08:30 -07:00
devin-ai-integration[bot]
8ef85a45ce
feat(xai): add native xAI batches and files support (#42812)
* feat(xai): add native xAI batches and files support

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

* fix(xai): tighten batch handler typing and avoid Final redeclaration on star import

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

* refactor(xai): walk batch result pages iteratively

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

* fix(xai): stop paging on empty pagination token and honor litellm.xai_key

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

* fix(xai): import NotRequired and TypedDict from typing_extensions for Python 3.10

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

* feat(batches): accept image and video endpoints on batch create

* test(xai): lock batch endpoint, auth, and result contracts

The batches test package collided with litellm/batches under pytest prepend, so the All Other Providers shard could not collect the new tests.

* fix(xai): price grok batch usage at xAI's 20 percent batch discount

* fix(xai): map not-found file reads to 404, bill batch reasoning tokens, and add 200k batch tier rates

* refactor(xai): drop routine prose and move tests under tests/unit

* fix(health): hand the resolved provider to list_batches in batch-mode health checks

* test(xai): make tests/unit/llms/xai/batches a package

* fix(xai): walk every page of the files list by pagination_token

---------

Co-authored-by: Mubashir Osmani <mubashir@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mubashir1osmani <mubashir.osmani777@gmail.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-09-25 15:35:20 -07:00
yuneng-jiang
f6882246d4
test: move tests/test_litellm root and small trees into tests/unit (#43186)
* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests

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

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

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

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

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

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

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

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

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

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

* test: make the new tests/unit directories packages

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

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

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

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

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

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

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

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-25 11:30:43 -07:00
devin-ai-integration[bot]
c9e8a04139
feat(vertex): native batch JSONL passthrough with cost tracking (#42810)
* feat(vertex): native batch JSONL passthrough with cost tracking

Add a per-request `passthrough=true` multipart field on `POST /v1/files`
(and the same kwarg on `litellm.create_file`) that uploads a native
Vertex AI batch JSONL to the deployment's GCS bucket unchanged, so rows
using `googleSearch` and other Gemini-only features run as written and
the output, `groundingMetadata` included, comes back untouched.

Passthrough is sticky through the GCS object path
(`litellm-vertex-files/passthrough/...`), so batch create and output
retrieval inherit it without new state. Native output rows are costed
from their `usageMetadata` with the deployment's model and model_info,
in the polling and retrieve paths and for the existing global
`disable_vertex_batch_output_transformation` flag, which billed $0
before.

The proxy requires the target to resolve to vertex_ai deployments only,
refuses `passthrough` with a non-batch purpose, a non-default
`target_storage`, or pre-call guardrails, and validates native rows on
`request` instead of the OpenAI batch keys.

* refactor(vertex): keep native batch row pricing inside the Vertex adapter

Moves native Vertex batch row detection, response parsing, and per-row
pricing from litellm/batches/batch_utils.py into
litellm/llms/vertex_ai/batches/transformation.py, so batch_utils only
aggregates the rows it gets back. Adds tests/test_litellm/files to the
misc unit shard so the new test directory is claimed by a shard.

* fix(files): say what a passthrough batch upload takes when a row is not native

The missing-key 400 listed bare key names, so an OpenAI-shaped row under
passthrough=true read "Each line must be a JSON object with keys request".
The batch line shape now carries its own hint, and the passthrough one says
a passthrough upload takes native Vertex batch rows with a request key

* fix(batches): bill native Vertex embedding batch rows on the native cost path

A native Vertex output row whose response holds an embedding was validated as a
generateContent response, so the documented tokenCount-only shape counted as a failed
row. Price embedding rows from their own usage (promptTokenCount, else tokenCount) with
the helper the transformed embeddings path already used, and drop the prompt-details
helper nothing calls anymore.

* fix(batches): keep modality batch rates on native Vertex embedding rows

An embedding row that carries usageMetadata was billed from promptTokenCount alone, so
its promptTokensDetails no longer reached the audio, image, and video batch rates the
way it did before the native cost path. Run every row with usageMetadata through the
Gemini usage parser and keep the flat tokenCount fallback for embedding rows without it.

* fix(batches): price native Vertex batch rows by modelVersion under a wildcard deployment

A `vertex_ai/*` deployment hands the batch cost path `*` as the deployment model, which
no cost map resolves, so every native (passthrough or flag-on) row was billed at $0. A
wildcard deployment model now defers to the row's own `modelVersion`, the way the
transformed path already prices by the row's `model`.

Also moves the native passthrough tests under tests/test_litellm, the tree codecov
reads, and covers the raw upload chunking, the embedding output translation, the
unpriceable-row path, and the flag-on dispatch.

* fix(batches): keep explicit deployment prices for native Vertex rows without a modelVersion

Under a wildcard deployment a native batch row that carries no modelVersion (an embedding
row, or a generateContent row Vertex returned without one) was billed at $0 even when the
deployment's model_info sets explicit batch prices, because the cost calculator was never
called. The row now falls back to the wildcard name, which the cost calculator prices from
the explicit model_info, and only a row with neither a modelVersion nor a deployment model
is billed at $0 with the warning

---------

Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
2026-09-24 12:35:34 -07:00
Mateo Wang
deba473821
fix(cost): bill batch prompts above 272K at OpenAI's long-context batch tier (#39861)
* fix(cost): bill batch prompts above 272K at OpenAI's long-context batch tier

* fix(cost): mirror batch long-context keys on custom pricing params

Register the two *_above_272k_tokens_batches keys on CustomPricingLiteLLMParams so a per-deployment override stays out of the shared backend key, add them to the inline model-info schema and alias-count tests, and build LiteLLM_Params and GenericLiteLLMParams through model_validate at the two dict-splat call sites so basedpyright's reportArgumentType budget ratchets down instead of blocking the new fields.

* fix(cost): add the gpt-5.5-pro batch long-context tier and ignore malformed batch tier keys

* fix(cost): bill cached batch tokens at OpenAI's cached batch rate

Adds cache_read_input_token_cost_batches and
cache_read_input_token_cost_above_272k_tokens_batches for the tiered
OpenAI entries at half the standard cached rate, bills cached batch
tokens at that rate per output line, and parses string-valued batch
rates in deployment-level model_info.

* fix(cost): bill batch cache writes at the batch cache-write rate and carry published batch rates for one-sided deployments

OpenAI's Batch table prices cache writes for gpt-6-astra, gpt-5.6, gpt-5.6-sol, gpt-5.6-terra and gpt-5.6-luna at half the standard cache-write rate, so the cost map gains cache_creation_input_token_cost_batches and its above_272k tier for those entries and batch cost pulls written tokens out of the input bucket at that rate; models without the key keep billing writes at the batch input rate.

A deployment declaring only one side of its batch pricing now carries every published batch rate of the other side (tier, cached, cache write), its own keys win, and a lone tier, cached or cache-write batch key counts as declared pricing instead of being ignored.

* fix(cost): select the batch long-context tier from any batch tier key

A deployment that declares its own flat standard input rate keeps every
published batch rate of the output direction, including the 272K output
tier, but the tier was only ever selected when an input tier key was also
present. Detect the crossed tier from any of the four batch tier keys so
the carried output, cache-read, and cache-write tiers bill at their tier
rate above 272K tokens.

* chore(proxy): keep the OpenAPI snapshot as CI generates it

* fix(cost): pick each batch price component's tier from its own keys

The batch rate picker crossed one threshold for every component, so a
deployment declaring only an output tier also moved its input, cached, and
cache-write rates to that cutoff. Each component now crosses its own
*_above_<N>k_tokens_batches keys and falls back to its flat key.

The JSON schema is regenerated with the generator as it is on main:
cost-map-guard renders the PR's cost map with the base branch's generator,
so the descriptions for the new batch cache keys move to a follow-up.

* chore(proxy): restore the lazy OpenAPI snapshot to what CI's Python 3.12 generates

The merge commit carried a snapshot regenerated on a Python 3.14 venv, which dedents
docstrings at compile time, so one description line differed from the file CI regenerates
on 3.12 and the schema.d.ts sync check went red. The snapshot is byte-identical to main again
2026-09-22 10:22:41 -07:00
yuneng
30a422087c test: add __init__.py to migrated tests/unit packages
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-20 11:53:49 +00:00
yuneng
03a650c8a9 test: migrate wave 1 phase 1 legacy tests to tests/unit
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-20 09:17:57 +00:00