The Router executor only routed a query embedding when the vector store
carried extra embedding configuration, so a store registered with no
embedding model at all always went to the Router and 500'd on the
s3_vectors default text-embedding-3-small when no deployment served it.
Route on whether the Router serves the model, which is the rule the
executor had before, and keep the request metadata on the SDK fallback so
the embedding stays attributed either way.
S3 Vectors now subclasses BaseQueryEmbeddingVectorStoreConfig, so its query
embedding runs through the Router executor with the request metadata instead
of a private router lookup. embedding_model stays accepted as an alias of
litellm_embedding_model. The router kwarg is gone from the search handler and
every provider transform now that nothing but the executor fallback read it.
* feat(azure): support credential chain for storage
* test(azure): clarify credential seam suppressions
* fix(azure): read chain tokens in a worker thread
The credential chain walk (IMDS probe, CLI subprocess) is blocking I/O,
so reading the provider inline in async set_valid_azure_ad_token stalls
every request on the worker's event loop
* fix(proxy): keep SpendLogs and callback session ids in sync when the request has none
Add general_settings.missing_session_id (generate | reject). In generate mode one id is
stamped into litellm_session_id, litellm_trace_id and metadata.session_id before callbacks
run, so LiteLLM_SpendLogs.session_id and the Langfuse session id match. In reject mode such
requests get a 400. Unset keeps the legacy behavior. MCP routes are not affected
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(proxy): regenerate schema.d.ts and shorten mutable-ok comment for ruff format
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): mark generated session ids so affinity consumers do not pin on them
Fireworks x-session-affinity, the router session_affinity pre-call check and the
complexity router session pin all read metadata.session_id as a caller-chosen
stable key. A missing_session_id: generate id is fresh per request, so it now
carries metadata.litellm_session_id_generated and those consumers skip it
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(guardrails): skip streaming guardrail rounds that re-scan cleared output
Streaming guardrails scanned the finished answer twice at end of stream
whenever the chunk count landed on a multiple of the sampling rate, ran
sampled rounds whose payload was identical to the previous one, and on
/v1/messages could scan an empty text before the first content chunk.
Every redundant round is a paid guardrail provider call.
Each endpoint handler now exposes a scan key describing what a round
would hand to apply_guardrail (the text so far, plus tool calls once the
stream has ended), and the unified streaming hook skips a sampled or
end-of-stream round whose key equals the last scanned one or carries
nothing to scan yet. Rounds that carry tool calls are never skipped.
* test(guardrails): expect one end-of-stream scan when the terminal chunk is sampled
Update sampled cadence expectations and use tuple-backed scan state
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(http_handler): honor HTTP(S)_PROXY / NO_PROXY when force_ipv4 uses the httpx transport
Passing an explicit transport to httpx.AsyncClient / httpx.Client disables its
automatic environment proxy mounts, so force_ipv4 on the httpx path sent every
LLM request direct and silently bypassed HTTPS_PROXY. Mount the same env-derived
proxy transports next to the IPv4-pinned direct transport in AsyncHTTPHandler,
HTTPHandler and the OpenAI async client factory.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(http_handler): carry the client's TLS verify and cert settings onto env proxy mounts
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(ollama_chat): stamp finish_reason tool_calls when tool calls streamed before the done chunk
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(ollama_chat): trim finish_reason override comment
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>
Co-authored-by: mubashir1osmani <mubashir.osmani777@gmail.com>
Restate xAI's usage.cost_in_usd_ticks as usage.cost on chat and responses
replies, streamed ones included, then let the cost calculator own the
figure: a deployment with its own input_cost_per_token and
output_cost_per_token keeps that price, cost margins apply on chat streams
as they already did on non-streamed calls, and only OpenRouter's usage
cost becomes the llm_provider-x-litellm-response-cost header, so xAI
streams no longer skip the calculator through the header or the
stream_chunk_builder hidden response_cost.
* fix(security): restrict and validate file uploads at /v1/files and /upload/logo
Extends fast-fail upload validation to every purpose at POST /v1/files,
not just purpose=batch: a configurable max_file_size_mb size cap and a
blocked_file_extensions denylist, plus rejection of filenames carrying a
directory-traversal component before anything is read, stored, or
forwarded to a provider.
Also fixes two concrete gaps found while auditing every upload surface:
the Azure Blob Storage backend derived a blob path's extension with
filename.split(".")[-1], which does not parse path structure and let a
crafted filename embed a directory traversal sequence into the stored
blob path; and POST /upload/logo (the admin UI logo upload) had no
role check at all, so any authenticated API key, not just a proxy
admin, could write a file to the server's disk.
* fix(lint): drop cast()/mutation from settings coercion, sync blocked_file_extensions on reload
Replaces the TypeAdapter+cast() reads of max_file_size_mb and
blocked_file_extensions with small isinstance-based validators, since the
codebase's cast() budget (LIT006) had no headroom left. Also adds the
blocked_file_extensions reload block that was missing from
_update_general_settings: it was registered as an editable setting but
never re-synced into runtime state, so a value set through the DB-backed
settings editor would silently never take effect (Greptile finding).
* fix(security): declare max_file_size_mb and blocked_file_extensions on ConfigGeneralSettings
The DB-backed general-settings update endpoints validate every field
through ConfigGeneralSettings.model_fields before persisting it, so
without these declarations an operator could never actually set either
setting through that path even though both were registered for the
Admin UI's settings editor and reloaded on config refresh (Greptile
finding). blocked_file_extensions is typed as a tuple, not a list, to
stay out of the immutable-collections lint budget; the stored JSON
value is unaffected since the raw request payload, not the validated
model, is what gets persisted.
* chore: regenerate schema.d.ts for the new ConfigGeneralSettings fields
* fix(security): normalize configured blocked_file_extensions casing
check_blocked_extension lowercased the uploaded filename's extension
before comparing but compared it against blocked_extensions verbatim,
so an admin-configured blocked_file_extensions: ['.EXE'] would never
match an uploaded payload.exe (Greptile finding). Normalizes the
configured values the same way at comparison time, and adds the
missing case (mismatched-case config, lowercase upload) as a
regression test, mutation-checked against the unfixed comparison.
* fix(security): restore caller-owned stream position after size inspection
_file_size_bytes unconditionally seeked back to 0 after measuring a
BinaryIO's length, discarding wherever the caller had actually
positioned it (Greptile finding). Saves and restores the original
position instead. Rewrites the existing test that had encoded the
old "always resets to 0" behavior as its expectation, and adds a
sibling case for the under-cap path; both are mutation-checked
against the unfixed always-reset-to-0 behavior.
Sort the chat-tool keys once and number duplicates with groupby instead of
rescanning every preceding key per position, so the guardrail merge stays
O(n log n) on client-supplied tool lists. Drop the comment that restated the
unsupported-tool warning in the Responses-to-chat transformation.
Any pre_call guardrail on /v1/responses flattened Codex namespace tools
into ns__member functions and wrote the flattened list back to the
request, so the model called mcp__server__tool with no namespace and
Codex rejected the call as unsupported.
The handler now keeps the client's original tools, hands the guardrail a
deep copy of the flattened ones, and rebuilds data["tools"] by matching
the guardrail's output to the originals by type and name. Unchanged
tools go back as the original objects, a dropped or edited namespace
member changes only that member, and tools the guardrail injects are
still appended.
Fixes#39183
Resolves the conflicts in llm_http_handler.py and its test file, and replaces
the mantle test that patched BaseAWSLLM.get_credentials at class level with
one that injects the signer into BedrockMantleChatConfig, which the
test-quality gate's ratcheted TQ008 ceiling on staging now requires
Gemini 3.8 Flash launches today with the same promotional pricing, limits,
and thinking settings as Gemini 3.7 Flash, so the gemini/, vertex_ai/, and
bare cost map entries mirror the 3.7 Flash ones. Regression tests lock the
launch prices, the 4096-token cache minimum, and the gemini-3 thought
signature gate in for the new model.
* fix(search): forward search-tool params through the router, complete Parallel AI v1 param mapping
SearchAPIRouter dropped every parameter configured on a search tool, forwarding
only per-request kwargs. Any tool-level setting (mode, max_results, ...) was
silently lost on the way to the adapter, for every search provider.
Also completes the Parallel AI v1 search surface: after_date, fetch_policy,
location and include_domains now nest under advanced_settings instead of being
sent as unknown top-level fields, responses preserve search_id / session_id /
warnings / raw excerpts, and search cost is derived from the request mode and
the provider's reported usage rather than a single flat rate.
* fix(parallel_ai): stop a caller from pricing its own search request
`_parallel_ai_usage` carries the provider's reported usage into cost
calculation. It was only written when the response contained a usage block, so
a caller could pass `_parallel_ai_usage=[{"name": "sku_search", "count": 0}]`
and, whenever the provider omitted usage, bill $0.00 instead of $0.005 — the
value also reached the upstream request body as an unknown field.
The key is now stripped from inbound params and written unconditionally from
the parsed response, so only the provider can populate it.
* fix(parallel_ai): price fast search mode correctly
* test(parallel_ai): fake search at HTTP boundary
* fix(parallel_ai): tolerate null search result fields
---------
Co-authored-by: khushishelat <shelatkhushi@gmail.com>
