* feat(proxy): CyberArk Conjur secret manager configuration via Admin UI
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(ui): mock networking base-url helpers in AdminPanel test
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): restore deployment CyberArk env config on delete and roll back on persist failure
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): reinit env-configured hashicorp vault manager after cyberark persist rollback
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
A model access group could gate which models a caller reaches but never how
much that group of callers could spend in total. Capping a shared pool meant
setting a per-entity budget on every key by hand, which caps each key
separately and still leaves no way to read what the group cost.
Spend is attributed to a group only when the group's name appears on an
allowlist the caller was granted (key, team, team-member scope, project or
org) and that group serves the requested model. Asking for a model that
merely belongs to a group attributes nothing, because nothing about the
caller named the group. Levels are unioned rather than ranked, so a team
granted "*" whose member is scoped to one group still counts as gated by
that group.
Enforcement runs on both paths tags already use: a reservation counter on
the pre-call path and a read-time max_budget check inside the existing
concurrent budget gather, so the ceiling still holds under
disable_budget_reservation.
Adds LiteLLM_ModelAccessGroupBudgetTable, which is the only place a group is
ever a row: the groups themselves stay free-text strings in
model_info.access_groups, so a row exists only once someone gives that group
a budget. GET, PUT and DELETE /access_group/{name}/budget manage it, and
/access_group/{name}/info now carries the spend and budget alongside the
models.
Adds litellm/litellm_core_utils/aws_partition.py mapping a region to its
AWS partition (aws, aws-cn, aws-us-gov, and the iso partitions), its DNS
suffix, and its ARN prefix, and uses it at every AWS host and ARN build
site: bedrock (runtime, agent, agentcore, legacy client, batches, files,
realtime), sagemaker, polly, secrets manager, s3 log uploads, bedrock
passthrough routes, and rag ingestion. ARN detection now accepts
arn:aws-cn: and arn:aws-us-gov: prefixes.
STS region resolution now falls back to the configured aws_region_name
after the aws_sts_endpoint host and the AWS_REGION/AWS_DEFAULT_REGION env
vars, so cn and gov role assumption no longer silently signs against
us-west-2.
A partition sweep test walks every endpoint builder with cn regions and
asserts no amazonaws.com host or arn:aws: prefix comes out, plus an AST
guard that fails on any new f-string hardcoding either literal.
* feat(guardrails): honor Lakera v2 skip-message flags and add advisory (inject_system_message) mode
Squashed rebase of bugfix/lakera-v2-skip-system-tool-messages onto latest
litellm_internal_staging (900+ commits ahead; a commit-by-commit rebase hit
repeated conflicts against the same files across earlier review-round
commits, so the branch's cumulative diff was reapplied in one pass instead).
Adds skip_system_message_in_guardrail/skip_tool_message_in_guardrail support
to Lakera v2, a third on_flagged: "inject_system_message" advisory mode, and
the associated masking-safety-guard hardening (multimodal content, non-
maskable message fields, combined messages+input, and structured Responses-
API input in advisory delivery) found across this PR's review rounds.
* fix(guardrails): don't let one invalid guardrail config crash proxy boot
init_guardrails_v2 had no try/except around initialize_guardrail, so a
guardrail whose litellm_params fail validation at construction time (for
example Lakera's on_flagged=inject_system_message combined with
mode=during_call, or a malformed advisory_system_message template) raised
uncaught and crashed the entire proxy at startup, taking down every other,
correctly-configured guardrail in the list. Catch ValueError/TypeError per
guardrail, log a warning, and skip it, matching the same pattern already
used for the DB-driven guardrail-creation path in guardrail_endpoints.py.
* fix(guardrails): preserve message fields and mask PII before advising in Lakera v2
Mask-in-place degraded to a hard block for any message carrying a field
beyond role/content (tool_call_id, tool_calls, name, cache_control), for a
message excluded by skip_system_message_in_guardrail/skip_tool_message_in_guardrail,
or for a message with no inspectable text, since it rewrote data["messages"]
wholesale from a synthetic role/content-only list built for the Lakera API
call. That made masking effectively unusable for any real tool-calling
conversation and made the skip flags flip every PII-only violation to a hard
block instead of masking just the in-scope text.
Replace the wholesale rewrite with a scope-index merge, reusing the same
merge_guardrailed_scoped_messages helper the OpenAI/Anthropic guardrail
translation handlers already use for this: patch content in place on a copy
of each original message actually sent to Lakera, and leave every
skipped/no-text/out-of-scope message untouched at its original position.
This also fixes on_flagged="inject_system_message" (advisory mode) shipping
raw unmasked PII to the model: a PII-only violation is now masked the same
way regardless of on_flagged, and the advisory note is reserved for flags
masking can't resolve on its own.
Addresses maintainer-reported regressions on BerriAI/litellm#34940.
* fix(guardrails): satisfy new lint gates for the masking/advisory fix
Parameterize the write-back helper's dict param and suppress the two new
lint rules that landed on the base while this branch was in flight: TQ008
(patching an internal collaborator) for two pre-existing tests unrelated to
this change, and LIT001 for a param that genuinely needs to mutate the
caller's request dict in place.
* fix(guardrails): normalize role casing in Lakera v2 masking scope, log skipped guardrails louder
Greptile finding: the masking scope helper compared roles case-sensitively
while filter_messages_by_skip_flags (used to build what's actually sent to
Lakera) normalizes casing, so an uppercase-cased "System"/"TOOL" role
survived the scope filter but was excluded from the inspected list. The
resulting length mismatch raised inside the strict positional zip, turning
a maskable PII-only violation into an unhandled request failure. Lowercase
the role comparison to match.
Also, per veria-ai's finding that a skipped invalid guardrail now fails
open: log it at error level with an explicit note that the proxy is
starting without that guardrail, so it's not mistaken for routine info.
* fix(guardrails): mask maskable PII in mixed violations before advising in Lakera v2
on_flagged="inject_system_message" only masked when a violation was
PII-only; a mixed violation (PII plus a non-PII flag like prompt injection)
fell straight through to the advisory branch with the raw PII still in
place, in both async_pre_call_hook and async_moderation_hook. Mask whatever
Lakera returned location data for before appending or logging the advisory,
so a mixed violation never ships raw PII just because something else was
also flagged.
Also degrade to blocking, same as block mode already does, when nothing
can be safely masked at all (multimodal content, or messages combined with
a Responses API input field) instead of showing an advisory note next to
raw, unredacted content.
Widened call_v2_guard/_mask_pii_in_messages/the write-back helper's message
parameters from list to Sequence to match what's actually passed through
from _filter_skipped_messages, instead of duplicating list(...) casts at
every call site.
* fix(guardrails): don't hard-block advisory mode for non-PII flags on non-maskable input
Bugbot finding: gating the entire inject_system_message branch on
is_multimodal_input hard-blocked every flagged request on Responses
instructions, combined messages+input, or multimodal content, including
a prompt-injection-only violation with no PII at all. Masking safety only
matters when there's actual PII to mask; a violation with no PII needs no
masking, so the advisory should still be delivered normally.
Only degrade to blocking when the breakdown actually contains a PII
detection and masking isn't safely possible. Otherwise, mask whatever's
maskable (if any) and deliver the advisory as before.
* fix(guardrails): require payload and breakdown for Lakera v2 advisory mode
Advisory mode's mixed-violation masking safety net can only redact
detected PII when Lakera's response carries both the breakdown (to
detect a PII hit at all) and payload (the location data to mask by).
payload=False or breakdown=False alongside on_flagged='inject_system_message'
silently forwarded raw PII next to the advisory note. Reject that
combination at construction and hot-reload time instead.
* fix(guardrails): skip_system_message_in_guardrail must not force-block Lakera masking
_has_responses_instructions treated any non-empty data["instructions"]
as unsafe to mask regardless of skip_system_message_in_guardrail, even
though that flag excludes the instructions-derived synthetic system
message from what Lakera ever inspects. PII detected purely in the
maskable non-system content was force-blocked instead of masked.
Also fixes pre-existing LIT010 (missing Final) violations in
_has_responses_instructions, _breakdown_has_pii_violation, and
async_post_call_success_hook that the rebase's lowered budget ceiling
now flags.
* chore: retrigger CI (GitHub Actions runner-acquisition failure on prior push)
* fix(guardrails): address maintainer review findings on Lakera v2 advisory mode
- Gate advisory_system_message template validation on on_flagged=
'inject_system_message', since block/monitor mode never reads it.
- Allow on_flagged='inject_system_message' with mode='during_call' at
construction/hot-reload instead of rejecting it; async_moderation_hook
already degrades gracefully (masks if possible, else logs a warning).
- reinitialize_guardrail now restores the previous live instance when the
new config fails to initialize, instead of leaving the guardrail deleted
entirely with nothing enforcing it.
- PATCH /guardrails/{id} rolls back the DB write and returns 422 when the
in-memory sync rejects the new config, instead of persisting a config
that never actually took effect and returning 200.
- Qualifire now rejects on_flagged values it doesn't implement (only
Lakera should accept 'inject_system_message'; LitellmParams flattens
the field across every guardrail config mixin).
* fix(tests): satisfy lint gates and update collateral test for advisory-mode fixes
- Add match= to a too-broad pytest.raises(ValueError), and suppress the
new TQ008 mocker.patch findings (same pattern already used by sibling
scenarios in this test).
- test_init_guardrails_v2_skips_invalid_guardrail_instead_of_crashing_boot
used mode='during_call' + on_flagged='inject_system_message' as its
invalid-config example; that combination is now accepted, so swap in
the payload/breakdown-missing case and add a test confirming during_call
advisory mode constructs successfully.
* docs(CLAUDE.md): auto-capture review learnings without being asked
This session found three real bugs a human maintainer caught after eight
rounds of bot review and live-proxy verification all missed them. Add a
standing instruction to write learnings.md entries the moment a root
cause is understood, in both the repo-wide file and any relevant skill's
own file, instead of relying on being asked.
* feat(guardrails): add scan_raw_request flag so YAML order can't change enforcement
Maintainer finding on BerriAI/litellm#34940: guardrails for the same hook
run sequentially over one shared, progressively-mutated request dict, so
declaring a masking guardrail before a blocking one hides the violation
from it (200 vs 400 depending purely on YAML order).
scan_raw_request opts a guardrail into always evaluating a snapshot taken
before any guardrail in the hook ran, regardless of its declared position.
Same contract as run_in_parallel: block-only, its own mutations discarded.
Verified live: real proxy, real Gemini call, two custom guardrails (a
redactor then a blocker). Same request, same declared order -- without the
flag the blocker never sees the raw secret (200); with it, the blocker
correctly rejects before any provider call (400).
* fix(guardrails): harden scan_raw_request against review findings
- Use safe_deep_copy instead of a bare deepcopy for the raw-request
snapshot; request payloads commonly carry unpicklable objects (e.g. an
otel span in metadata), which previously raised on every guarded
request when tracing was enabled (Bugbot, High).
- Only compute the snapshot when a guardrail actually opted in, and take
it before _maybe_execute_pipelines runs, so a pipeline-mutated payload
can't hide a violation from a scan_raw_request guardrail outside the
pipeline (veria-ai).
- Log a warning when a scan_raw_request guardrail returns a modified
payload, since that mutation is discarded and the combination is
otherwise silently exploitable for a masking-capable integration
misconfigured this way (veria-ai).
* chore(openapi): regenerate lazy snapshot and dashboard schema types
The lazy OpenAPI snapshot (litellm/proxy/_lazy_openapi_snapshot.json) and
the derived dashboard schema.d.ts had drifted stale relative to the
guardrail config model changes across this PR's rounds (advisory mode,
scan_raw_request, and upstream additions picked up by rebasing).
Regenerated via the CI's own documented fix:
uv run python -m litellm.proxy._lazy_openapi_snapshot
npm run gen:api (via make check)
* chore(openapi): pick up cache_hit_filter field after rebase
* fix(guardrails): stop scan_raw_request warning from firing on every call
_process_guardrail_callback always returns a dict once a guardrail runs
(mark_pre_call_hook_ran unconditionally stamps bookkeeping metadata), so
comparing the result to non-None warned on every request even when the
guardrail never touched the payload. Compare against a bookkeeping-only
baseline instead, so only an actual content mutation triggers the warning.
* fix(guardrails): make scan_raw_request snapshots independent of safe_memory_mode
safe_deep_copy can return the original object under litellm.safe_memory_mode,
or alias a per-key reference on copy failure. Under that mode, the
scan_raw_request comparison baseline aliased raw_request_snapshot (and
therefore the live request), letting mark_pre_call_hook_ran write a
premature execution marker that a deployment-level guardrail sharing the
same name would read as "already ran" and skip. Also affected the feature's
core isolation guarantee: input_data itself could alias the live request
under the same mode. Replace every scan_raw_request snapshot with
_independent_snapshot, which never returns an alias, only a genuine copy
or None.
* fix(guardrails): gate during_call mixed-violation masking behind an actual PII check
The during_call branch for a mixed violation under on_flagged=inject_system_message
unconditionally masked and reassigned data["messages"], even for a pure
prompt-injection violation with zero PII, unlike async_pre_call_hook which
already gates the same call behind _breakdown_has_pii_violation. The
unconditional reassignment touched shared request state during a hook
documented as racing with the concurrent LLM dispatch, for no reason when
there was nothing to mask.
* fix(guardrails): stop scan_raw_request from silently no-op'ing on real requests
_independent_snapshot did one whole-dict copy.deepcopy and returned None on
any failure. Every real proxy request carries data["litellm_logging_obj"]
(a Logging instance nesting a live OTel span with a real lock) by the time
pre_call_hook runs, which can never be deep-copied, so the snapshot failed
on every real request and silently fell back to the live, unisolated data
with no warning -- defeating the entire feature in production while every
existing test (none of which set litellm_logging_obj) kept passing.
Rework the helper to deep-copy each top-level key independently, falling
back to the original reference only for the specific key that fails, same
crash tolerance as safe_deep_copy's own per-key fallback. It never returns
None now; only the keys scan_raw_request actually depends on (messages/
input, metadata/litellm_metadata) need to be genuinely independent.
* fix(guardrails): block during_call when PII can't be safely masked
Greptile finding (P1, security): async_moderation_hook's inject_system_message
branch had no equivalent to async_pre_call_hook's degrade-to-blocking case for
a PII violation on input that can't be safely masked (e.g. combined
messages+input). It fell through to the advisory no-op branch and let raw,
unredacted PII reach the model with no protection at all. Raising still
blocks the response from reaching the caller even though during_call races
with the LLM dispatch, the same mechanism on_flagged="block" already relies
on for this hook, so add the same block-instead-of-advisory branch pre_call
already has.
* chore(lint): fix LIT002 ceiling after rebase merge conflict resolution
* fix(lint): suppress genuine LIT002 hits instead of padding the ceiling
My earlier rebase conflict resolution for type-discipline-budget.json's
LIT002 limit was too low, then overcorrected by padding it well above the
actual measured count. Root-caused instead: _independent_snapshot and the
PATCH-endpoint rollback path legitimately construct plain, mutable
request-payload/config dicts (matching this file's existing precedent for
the same shape), so suppress those four sites with `# mutable-ok:` rather
than reshaping code that must stay a plain dict by contract. Set the limit
to the exact current measured total; the small remaining gap vs upstream's
own committed ceiling is pre-existing drift in litellm_internal_staging
itself (its own tree already measures over its committed limit), not
attributable to this PR.
* fix(guardrails): stamp live request when a scan_raw_request guardrail runs
_run_sequential_guardrail_callback and _run_parallel_pre_call_guardrails only
called mark_pre_call_hook_ran on throwaway snapshot copies for a
scan_raw_request guardrail, never on the live request returned to the
caller. A later async_pre_call_deployment_hook (router-level guardrail
re-check) reads that marker on live kwargs to decide whether to skip
re-running the same guardrail; since it was never stamped there, the
guardrail ran a second time on live data, doubling the external call and
re-applying whatever scan_raw_request's contract says should be discarded.
* fix(guardrails): revalidate Qualifire's on_flagged on live config reload
on_flagged was validated only in __init__. The base
CustomGuardrail.update_in_memory_litellm_params is a generic setattr loop
with no revalidation, so a live config update (PUT /guardrails/{id}, no
restart) could setattr on_flagged="inject_system_message" onto a running
instance, bypassing the constructor's rejection -- silently blocking every
flagged request under an "advisory" label. Mirrors LakeraAIGuardrail's own
update_in_memory_litellm_params override added earlier in this PR.
* fix(guardrails): honor scan_raw_request for pipeline-managed guardrails
A scan_raw_request=True guardrail that is itself a pipeline step never saw
raw_request_snapshot: PipelineExecutor.execute_steps had no way to receive
it, and pipeline-managed guardrails are fully excluded from the normal
sequential/parallel loops that implement the flag. Such a guardrail silently
evaluated whatever an earlier pass_data step in the same pipeline had
already rewritten, defeating the flag for pipeline-managed guardrails.
Moves the snapshot helper (renamed independent_snapshot) from proxy/utils.py
to litellm_core_utils/core_helpers.py so pipeline_executor.py can use the
same independent-copy logic without a circular import, threads
raw_request_snapshot through _maybe_execute_pipelines and
PipelineExecutor.execute_steps/_run_step, and discards a scan_raw_request
step's returned data the same way the sequential/parallel loops already do.
* chore(openapi): pick up upstream drift after rebase onto litellm_internal_staging
* fix(guardrails): stop attempting PII masking during during_call in Lakera v2
Greptile finding (P1, security): during_call runs concurrently with the LLM
dispatch. In the common path, the provider call already binds its messages
kwarg before this guardrail's coroutine gets a chance to run, let alone
before its own network round trip to Lakera completes -- masking here can
never reliably reach the outgoing request, and _apply_redacted_messages_back_
preserving_fields reassigns to a new list object rather than mutating in
place, so even winning the race wouldn't help. This affected both the
PII-only and mixed-violation masking branches, all added in this same PR.
Remove masking from async_moderation_hook entirely and let PII violations
fall through to the normal on_flagged branching: block under "block" or
"inject_system_message" (extending the existing multimodal-only block to
cover every PII case, since masking is proven non-functional regardless of
input shape), log-and-allow under "monitor" -- consistent with how every
other violation type in this hook is already handled.
---------
Co-authored-by: Deepanshu <deepanshu.lulla@alpha-sense.com>
Removes restating comments added with the Teams alerting destination and the
lazy OpenAPI snapshot refactor, types three signatures that shipped untyped or
with bare dict, and ratchets the strict and basedpyright budgets down.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The merge brought 326 upstream commits, which moved every gate's base
count. Re-runs the ratchet once so the limits track the cleared headroom
at cd63c7e5a7 instead of the pre-merge base.
basedpyright -1955 across 48 rules, ruff-strict -310, LIT -106.
For non-Anthropic models served over /v1/messages, the outer wrapper recomputes
cost over the adapter-translated Anthropic response dict. That dict dropped every
web search usage signal, so the recompute overwrote the correct cost breakdown
with a token-only one: x-litellm-response-cost-tool-usage read 0.0 and
x-litellm-response-cost-original excluded the search cost, while the total kept it.
The adapter now maps web search request counts (from Usage.server_tool_use or
Gemini's prompt_tokens_details) into usage.server_tool_use.web_search_requests,
matching the Anthropic API shape, and the Gemini web search cost calculator falls
back to server_tool_use when prompt_tokens_details carries no count. The shared
get_web_search_requests helper is now public since five modules consume it.
Resolves LIT-6288
Gemini API Maps-grounded prompts were billed as web search and Vertex AI Maps-grounded prompts were not billed at all. Classify grounding metadata per candidate into web search vs Maps requests, carry a distinct google_maps_grounding_requests usage counter through non-streaming and streaming paths, and price it via the new google_maps_grounding_cost_per_query cost map key with per-query and per-prompt defaults keyed off web_search_billing_unit. Fixes#35906
Together AI moved its canonical API host from api.together.xyz to
api.together.ai. Default the provider api_base and the rerank handler to
the new host, make rerank honor api_base and TOGETHER_AI_API_BASE like
chat already does, map both hosts to together_ai when passed as
api_base, and delete the dead models/info fetch in factory.py.
Every repository handed its `.table` back untyped, so a dozen modules had
each grown a private `_PrismaTableActions` Protocol to paper over it. They
had drifted: some declared `update` as returning the row, others the row or
None, and none agreed on whether `find_many` was covariant
Replace all of them with a single `TableActions[RowT_co]` in
`litellm/repositories/prisma_protocols.py`, keyed to the prisma row each
repository is bound to. Query inputs stay `Mapping[str, object]` so callers
keep passing plain dicts, and `find_many` returns `Sequence` so the row type
stays covariant
Typing the nullable returns honestly surfaced paths that were already
crashing. A team admin could never edit or delete a memory entry owned by
their team: the write-auth check fed a raw prisma row to a helper that
expects the domain model, so `members_with_roles` arrived as plain dicts and
the request died as a 500 instead of applying the edit. Non-admin members hit
the same 500 in place of the 403 they were owed, so refusal and breakage were
indistinguishable. `/v2/model/info?user_models_only=true` dereferenced a
missing user row rather than returning the 400 the route already had, three
team routes dereferenced a team deleted between the read and the write, and
the agent registry dereferenced a missing agent instead of naming it
basedpyright drops 2,132 errors, 1,454 of them reportAny and 73
reportExplicitAny. The dashboard's generated types pick up `string[]` where
they had `unknown[]` for a team's members, admins and models
The dcr_bridge oauth_delegate connect flow completed for a signed-in user
with no litellm-side grant to the target server: every leg returned 200,
the DCR client showed connected, and tools/list then fail-closed to an
empty list with the upstream never contacted (#36358). The authorize leg
now admits the user the way MCP egress will (same reload_admitted_user
constructor, same get_allowed_mcp_servers resolver) and refuses with an
RFC 6749 access_denied redirect naming the remedy, before any upstream
OAuth runs or an envelope is minted. Availability faults (5xx) propagate;
unknown or deactivated users deny fail-closed
Promotes MCPRequestHandler reload_admitted_user to public: it already had
a cross-module consumer in ui_session_utils, and this gate adds a second,
so the private name no longer reflected its use. Ratchets the freed
reportPrivateUsage budget headroom down
Retypes the 54 highest-density reportAny/reportExplicitAny sources with real
types instead of shuffling the ceilings around: typed prisma table Protocols so
the untyped client surface stops at the query, local TypedDicts for JSON and
dict payloads, concrete chunk and logging types on the streaming and callback
surfaces, and 3-argument getattr with a Callable annotation where an SDK object
is genuinely duck-typed
No cast(), no type: ignore, no noqa, no suppression comments, and no new Any
annotations. Whole-tree basedpyright drops 1,941 errors with no rule rising
anywhere, and all three budget files are ratcheted so the cleared headroom
cannot silently grow back
Adds a GDC regression test pinning the named AttributeError that the typed
credential accessor now raises when with_gdch_audience is missing
team_allowed_routes and admin_allowed_routes only matched exact strings or named route groups, so a whole prefix of pass-through endpoints had to be listed route by route in config. Match trailing-wildcard patterns with the same helper the key-level allowed_routes check uses, so "/prefix/*" covers endpoints registered later.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Azure Database for PostgreSQL Flexible Server takes a Microsoft Entra ID access
token as the connection password, and those tokens last about an hour, so a
proxy pointed at one dies shortly after boot unless something keeps minting
fresh ones
Set AZURE_POSTGRESQL_AUTH=True (or pass --azure_postgresql_auth) alongside
DATABASE_HOST, DATABASE_USER, and DATABASE_NAME, and the proxy mints a token at
startup, assembles the connection URL around it, and refreshes it in the
background for as long as the process runs. That is the same shape
IAM_TOKEN_DB_AUTH already had for AWS RDS, so the two now share one code path:
a tagged union picks the minting strategy once, and the wrapper, the read
replica, and the refresh loop all read the choice off it instead of each
guessing from the environment. Setting both toggles is a startup error, in the
chart as well as in Python
The helm chart gets database.writer.useAzureEntraAuth and the matching reader
knob next to the existing useIAMAuth
Fixes#29661
Co-authored-by: David Balatoni <balcsida@gmail.com>
Image, file, video, and previous_response_id requests reserved the whole
project ITPM limit up front, so any window with existing usage rejected
them and one in-flight multimodal request blocked the entire project.
Reserve the token_counter estimate instead, like every other request;
post-call reconciliation already charges actual usage.
A transient DB error during the spend log flush dropped that batch's guardrail
metrics and usage unit rows for good. Retry only the rows that failed, up to 3
times with 1s/2s/4s backoff, mirroring the daily spend writer, and inject the
sleep so tests stay fast. Lowers the lint budgets the refactor freed up
Resolves conflicts from the upstream merge and addresses the Veria-AI
review comment on this PR: batch rows could bypass a project's
per-model ITPM/OTPM quota when the batch's file-bound/routing model
had no quota configured. Charges each row's own model against its own
project quota instead of only the routing model's, and fixes rate
limit error messages to attribute the correct model via a new
descriptor_value field on RateLimitStatus/AtomicCounterMeta. Also
re-syncs the ruff-strict, type-discipline, and basedpyright budgets
against the correct (non-stale) merge base.
Co-authored-by: Cursor <cursoragent@cursor.com>
Every bedrock batch output line went through the Anthropic usage parser, which
reads snake_case input_tokens/output_tokens. Converse-family models (Nova and
friends) report camelCase inputTokens/outputTokens, so their usage came back
0/0/0 and the batch billed $0 despite real token consumption.
Usage is now selected by the shape of the payload: a Converse-shaped block goes
through the same transform the live Converse path uses, so a batch and an
equivalent non-batch call agree on tokens, including cache reads and writes.
Anthropic-shaped bedrock output is unchanged.
A shape neither parser understands (an InvokeModel-native payload from Titan,
Cohere, or Llama, which name their counts differently again) still reads zero,
but now warns with the keys it saw instead of silently billing $0.
Exposes the Converse usage transform as public, since batch parsing is a second
legitimate caller; that also removes the private-member access invoke_handler
was already making.
Replace Any-typed seams with real types in files carrying the highest
remaining reportAny/reportExplicitAny density after #34745: the proxy
server and its utils, the router, the streaming handler and chunk builder,
litellm_logging, the redis cache, the MCP db/tool-registry/spend-writer
layer, the anthropic pass-through adapters and guardrail translation, the
lasso and presidio guardrail hooks, the azure_ai agents handler, the
management endpoints (keys, users, ui_sso, model access groups, config
override, MCP, projects), the responses MCP handlers, response polling
background streaming, and the containers and vector stores mains
No casts, no type: ignore, no noqa, no new suppressions, and no Any
annotations that were not already at base. Whole-tree basedpyright:
reportAny 14,610 -> 14,009, reportExplicitAny 5,100 -> 4,780, total
144,743 -> 143,471, with no rule increasing repo-wide or in any file.
Budgets ratcheted: basedpyright -1,272 across 48 rules, ruff-strict -85,
type-discipline -37
