The shared `timeout` guardrail param already parsed into LitellmParams, but
the Zscaler initializer never forwarded it and _send_request hardcoded a 5
second constant, so a configured value was silently ignored and slow scans
failed with `Timeout passed=5` regardless of config.
Forward litellm_params.timeout through to the HTTP call, keep 5 seconds as
the default, fall back to it for non-positive values, and declare the field
on the config model so the dashboard renders it.
* fix(proxy): promote caller metadata trace fields into litellm_metadata
Routes in LITELLM_METADATA_ROUTES keep the caller's metadata as a provider
passthrough field and track proxy state in litellm_metadata, which is the dict
the logging integrations read. The caller's trace_id, session_id, trace_user_id
and trace_metadata therefore never reached any callback on /v1/responses,
/v1/messages, /v1/batches or /v1/files, and mask_input / mask_output were
dropped with them so a caller asking for redaction had their prompt logged in
full.
Promote an explicit allow-list of those fields from the requester_metadata
snapshot into litellm_metadata, never overwriting a value already set so
header-derived ids keep precedence. Trace-mutation controls (existing_trace_id,
update_trace_keys) and trace_public are deliberately excluded: langfuse applies
them to an arbitrary caller-chosen trace with no ownership check. tags is
excluded because per-tag budget enforcement runs earlier, at auth time.
This covers providers with a native Responses API config. Providers reaching
/v1/responses through the chat-completions bridge need the companion change to
get_litellm_params.
* ci: retrigger workflows
* warn at startup when a proxy-wide budget is set but no DB is connected
litellm.max_budget is only enforced via DB-loaded global spend, so a DB-less proxy silently ignores it. Log a one-time startup warning.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(proxy): inject max_budget into DB-less budget warning
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(proxy): cover DB-less budget warning startup call
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(proxy): pin DB-less budget warning call site
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(proxy): stabilize budget warning call-site pin
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: tin <tin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
PR #35956 added the max_input_chars passthrough to the AutoRouter
constructor but left this mock assertion in tests/router_unit_tests
unchanged, so test_init_auto_router_deployment_success has been failing
on litellm_internal_staging ever since.
The passthrough itself is intentional and its behaviour is already
covered by TestAutoRouterMaxInputCharsWiring in tests/test_litellm, so
only the stale expected kwargs need updating. Assert the shared constant
rather than the literal 2000 so tuning the default does not break this
test again.
The provider's release gate in project-releaser publishes only when the
topmost released heading in terraform/provider/CHANGELOG.md moves past the
tag the mirror already carries. That heading has been 0.2.2 since
2026-05-13, so every stable release since has correctly decided there was
nothing to publish and the registry has gone stale.
Two things were blocking a release:
1. The mirror shipped 0.3.0 out-of-band on 2026-07-13 (pricing_base_model,
BerriAI/terraform-provider-litellm#47) after the source move, so that
code exists only in the mirror. The publish rsyncs monorepo -> mirror
with --delete, so publishing without this port would have deleted a
released feature from the registry.
2. Nothing here declared a new version.
Port #47 verbatim (resource_model.go and resource_model_crud.go are now
byte-identical to the mirror's released files), backfill the 0.3.0
changelog entry it shipped under, and cut 0.4.0 covering the changes made
here since the source move. 0.3.0 is not reusable as the next version --
the mirror holds that tag and the publish workflow's tag guard rejects it.
When store_model_in_db is true, general_settings are persisted to the
LiteLLM_Config DB table. On subsequent startups and periodic reloads,
_add_general_settings_from_db_config() unconditionally overwrites the
in-memory general_settings with DB-cached values, including
store_prompts_in_spend_logs.
This means a YAML config change (e.g. store_prompts_in_spend_logs: false)
deployed via CI/CD has no effect because the stale DB value (true) always
wins. The admin must manually update via /config/update API after every
deploy, defeating config-as-code.
Fix: track which general_settings keys were explicitly set in YAML at
startup (_yaml_general_settings_keys). During DB config merge, prefer the
YAML value for tracked keys. The DB value is only used as fallback when
YAML does not set the key, preserving the admin UI's ability to change
settings at runtime.
Steps to reproduce:
1. Start proxy with store_model_in_db: true, store_prompts_in_spend_logs: true
2. Change YAML to store_prompts_in_spend_logs: false, restart
3. Send a request, query LiteLLM_SpendLogs - prompts still stored
4. Check LiteLLM_Config table - DB still has true, overriding YAML
Slack thread: https://dataset-jsonhackathon.slack.com/archives/C0ACUS7LM29/p1785835131860139
GET /v1/files filters data down to the caller's own managed files but left first_id and last_id as the upstream page's, so a non-owner got back file ids belonging to other users even with an empty data array
The native files and batches routes declare /{provider}/v1/... and their routers are mounted before the passthrough router, so /openai_passthrough/v1/files and /openai_passthrough/v1/batches matched them with provider="openai_passthrough" and 500'd on the LlmProviders lookup instead of reaching openai_proxy_route.
Move the dedicated /openai_passthrough prefix onto its own router mounted ahead of the batches and files routers. /openai/... and every other provider prefix keep their current behavior.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The base branch ratcheted the same limits in 28a277e9, so the conflicting
files were reset to base and the ratchet re-run against the new merge-base
rather than resolved by hand. Each limit is now the base value minus this
branch's own delta, so both ratchets survive: basedpyright -653 across 48
rules, strict ruff -80, LIT -85.
Seven wide-reaching but semantically neutral commits landed since the
last entry, together rewriting roughly 162k lines across ~4,700 file
touches. Blame on any line they reflowed points at the sweep instead of
the commit that wrote the logic.
They cover the safe ruff autofix pass, the collections.abc import move,
the f-string !s cleanup, lazy log message construction, the LIT010 and
LIT011 Final and frozen-parameter rollout, ruff coverage for
litellm/types, and the inert type: ignore strip.
Smaller ratchet commits are left out on purpose: each touches a few
hundred lines at most, so listing them would grow the file faster than
it buys back blame accuracy
Revert the LIT001 build-clause inserts, phrase the LIT002 menu as
'or (if it really must be dynamic) a MappingProxyType wrapping a dict
literal or comprehension', and fold the two freezing-wrapper exemption
sentences into one that names MappingProxyType beside tuple/frozenset.
LIT001/LIT002 and the typing.Dict ban all steered dict-shaped values to
frozen dataclasses or suppression even though the checker already accepts
MappingProxyType as a freezing wrapper; the messages now name it so the
dict-shaped freeze path is actually discoverable at fix time.
Storing a baseline used to prune every other cache entry, so gate runs in
concurrent worktrees kept evicting each other's baselines and forcing full
recomputes: this bit six times across two nights of benchmarking. The store
now writes alongside existing entries and evicts only the oldest beyond
eight, keyed as before by merge-base and environment fingerprint, so
parallel worktrees' baselines simply coexist
Prompt Security drops tool and function rows unless check_tool_results
is on, so it now reports scan-only support from that setting and the
registry refuses the pairing at boot. Pairing scan_only_tool_results
with skip_tool_message_in_guardrail excludes every message, so guardrail
initialization now rejects that combination too.
prisma resolves its prisma-client-py generator through a plain /bin/sh PATH
lookup, never through the interpreter that ran prisma generate, so the gate's
generate step landed the client in whatever venv the caller had on PATH: the
owned env never received one, every gate run regenerated, the caller's venv
was mutated instead, and any invocation without a venv on PATH (the rewritten
publisher workflow) failed outright
The generate now runs with the target interpreter's bin directory pinned to
the front of the child PATH. The prisma schema joins the environment
fingerprint so clientless counts recorded before this commit can never be
compared against clientful ones, a cold provision announces itself on stderr
instead of sitting silent for two minutes, and the CI gate step reuses the
job's prisma binary cache
Under scan_only_tool_results, legacy OpenAI function-role messages now count as tool results, and duplicate names among guardrail-returned tools keep only the first occurrence. CustomGuardrail.structured_messages_cover_full_request lets CrowdStrike AIDR declare that its writeback already rebuilds the whole conversation, so handlers install it as-is instead of merging it into the full message list a second time and duplicating out-of-scope rows. Lint budget ceilings ratchet down to match the tree
