Move RealtimePlayground off Ant Design onto shadcn controls and the
shared ChatComposer, use the realtime-safe voice list, and reuse the
same composer for Compare message input
Throw when both model endpoints fail so ChatUI can show an error instead of
an empty list. Use the same resolved key for model listing and chat requests,
and drop the fetch_models JSDoc
Prefer the key-scoped OpenAI models list when the Virtual Key source is
selected, enrich with mode from model_group/info, and debounce custom key
input so models appear for the key's access set
Replace the compact single-line input with a PromptInput-style composer:
taller auto-growing textarea, rounded card shell, footer tools, and
stop button while a request is in flight
Bring back the prior Chat model dropdown filter (including chat models
on responses/anthropic/interactions and image models on image_edits), and
map mode realtime so the realtime endpoint only lists compatible models
Cancel in-flight model fetches when the key or source changes so an older
response cannot overwrite modelInfo. Drop the inverted endpoint-filter
assertion; filtering coverage lands in the next stack PR
Replace ChatUI cards, inputs, dialogs, popovers, MCP selects, uploads,
tooltips, and icons with shadcn/Base UI and Lucide. Update ChatUI tests
to drive searchable combobox controls instead of Ant Design selectors
Continue the Playground Chat Ant Design/Tremor migration: shared MultiSelect,
upload validation with semantic file inputs, collapsible message widgets, and
AdditionalModelSettings on Base UI controls
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
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
Replaces the hand-rolled recording double with AsyncMock so the awaited team ids
come from await_args_list instead of a mutated list, and annotates the response
factory now that SearchToolInfoResponse is imported at module level.
The aggregated route was missing from LiteLLMRoutes.self_managed_routes
while its paginated sibling /user/daily/activity was listed, so auth
rejected every internal user with a 401 before the handler ran. That
route backs the default "Your Usage" view in the dashboard, which left
the main Usage page broken for non-admin users.
The handler already self-scopes: it checks admin view first, then falls
back to require_caller_user_id_for_non_admin, defaults a missing user_id
to the caller's own, and returns 403 when a non-admin asks for someone
else's data. Listing the route restores reachability without widening
what a caller can read.
check_route_access matches exactly (plus explicit wildcards), so the
parent entry never covered the /aggregated sub-path.
