Budget enforcement trusts a current LiteLLM_BudgetWindowSpend row without
reconciling it against LiteLLM_SpendLogs, so an increment dropped after a
failed commit let the entity spend past its window limit after the next
counter reseed. Failed increments now go back on the in-memory queue, or
back to the Redis buffer, and retry on the next scheduler tick like every
other spend category.
Send a non-Bearer Authorization header verbatim via auth_type authorization
instead of wrapping it as a bearer credential, and always drop the
Authorization header from static_headers so the plaintext copy cannot shadow
the encrypted credential at request time. Register each imported server with
the in-memory manager before the best-effort reload, matching the manual add
path. Let get_all_mcp_servers propagate read failures instead of returning [],
which silently disabled the import dedupe and allowed duplicate imports.
* 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>
The keys, credentials, models, model groups, and chat clients still sent
requests with no timeout, so a proxy that accepts the connection and
never answers pinned the caller forever. They now default to the same
30 seconds as their teams and users siblings, with chat on the OpenAI
SDK's 600 second default, and Client wires its timeout through to all of
them. S113 cannot see Session methods, so each client gets a
hanging-server regression test instead.
Two problems, both caught in review.
The new table only landed in the root schema.prisma. Client generation reads
litellm/proxy/schema.prisma and packaging reads the copy under
litellm-proxy-extras, so the generated client had no
litellm_modelaccessgroupbudgettable and every budget read and write against
it would have failed at runtime. The root is the source of truth; both
copies are now byte-identical to it.
Nothing incremented spend:model_access_group:{group} after a call. Only the
reservation path ever wrote it, so with disable_budget_reservation the
read-time check was reading a counter nobody maintained and falling back to
the row's spend, which is cached for up to DEFAULT_MODEL_ACCESS_GROUP_CACHE_TTL.
A caller could run well past the pool inside that window, which is precisely
the case the read-time check exists to cover.
increment_spend_counters now takes the matched groups and charges them
through _init_and_increment_unreserved_spend_counter, so a group already
covered by a reservation is skipped rather than counted twice. The cost
callback sources the names with get_request_model_access_groups, the same
reader the spend writer uses.
Regenerates the lazy OpenAPI snapshot and dashboard schema.d.ts from the merged tree.
Passes list/dict copies into NewMCPServerRequest from the connector conversion and switches the
server-managed NewMCPServerRequest fields to keyword defaults so the basedpyright budget gate stays flat.
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.
request_id can be chosen by the client through x-litellm-call-id, so an
unbounded NOT (request_id = ANY(batch)) let a replayed old id drop that id's
historical LiteLLM_SpendLogs row from the one-time seed while its increment
still landed. The increment now carries the request start, the batch keeps
the earliest one, and the seed only excludes ids whose startTime is at or
after it.
The suggester pins temperature=0.2 for tool-selection determinism and passed no
drop_params, so an operator-supplied reasoning model whose only accepted temperature is 1
made litellm raise UnsupportedParamsError and the whole suggestion fail. The default
gpt-4o-mini is unaffected; the failure needs the caller to name a model.
Every other internal LLM call the proxy makes on a user's behalf already opts in through
judge_acompletion, which sets drop_params=True on both dispatch paths. This was the one
caller outside that contract, so the sampling preference is now advisory here too and the
call degrades instead of dying.
Resolves LIT-6352
Team-scoped deployments keep the internal model_name_{team_id}_{uuid} routing key and expose the public name in model_info.team_public_model_name. The dashboard links team model chips with the public name, so the exact filter now matches either name via the existing helper.
The where clause now uses the exact name string directly and skips the DB query when the typed search cannot occur in that name, so no new mutable literals are added (LIT002 gate).
With model=<group>&search=<term>, the router list was narrowed to the group but the DB query only matched the substring, so other groups' rows leaked into the page and total_count.
* feat(mcp): support RS256 signing for MCP gateway session tokens
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style: ruff format session token modules
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(mcp): enforce key strength on rotated public keys and unique kids
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>
* fix(health): honor allow_requests_on_db_unavailable in readiness probe
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(health): bound readiness DB check and pass reconnect timeout
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(health): bound whole readiness DB check with one deadline
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(health): keep readiness deadline fallback within lint budgets
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(health): suppress TQ008 for proxy-global readiness patches
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(db): release reconnect lock when a waiting reconnect is cancelled
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: milan <milan@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: yassin <yassin@berri.ai>
A guardrail block or failed scan that fires after SSE chunks have been
flushed can no longer set an HTTP status, so raising HTTPException there
silently truncated the stream. _emit_streaming_http_error now routes
post-flush failures through the endpoint translation's
build_stream_error_items, emitting the surface-correct error frame on
chat completions (data: {error}), /v1/messages (event: error), and
/v1/responses (ErrorEvent with the next sequence number). Pre-flush
blocks still raise with a real HTTP status.
Successful flags-on scans also logged metadata.guardrail_information as
null: the chat handler planted litellm_metadata on a route whose bucket
is metadata, flipping the bucket for every later write, and responses
streams fired their spend log before the eos scan ran. The chat handler
now merges user_api_key metadata through get_or_create_metadata_bucket,
and deferred stream-complete logging is armed for aresponses like it
already was for anthropic_messages.
