Skip to content

chore(ci): promote internal staging to main - #32663

Merged
shin-berri merged 85 commits into
mainfrom
litellm_internal_staging
Jul 9, 2026
Merged

chore(ci): promote internal staging to main#32663
shin-berri merged 85 commits into
mainfrom
litellm_internal_staging

Conversation

@yuneng-berri

Copy link
Copy Markdown
Collaborator

Relevant issues

Linear ticket

Pre-Submission checklist

Please complete all items before asking a LiteLLM maintainer to review your PR

  • I have added meaningful tests
  • My PR passes all CI/CD checks (e.g., lint, format, unit tests)
  • My PR's scope is as isolated as possible; it only solves 1 specific problem
  • I have received a Greptile Confidence Score of at least 4/5 before requesting a maintainer review (Greptile reviews automatically once the PR is opened; only comment @greptileai to re-request a review after pushing changes)

Delays in PR merge?

If you're seeing a delay in your PR being merged, ping the LiteLLM Team on Slack (#pr-review).

Screenshots / Proof of Fix

Type

🆕 New Feature
🐛 Bug Fix
🧹 Refactoring
📖 Documentation
🚄 Infrastructure
✅ Test

Changes

tin-berri and others added 30 commits July 7, 2026 17:32
Introduce two first-class MCP server auth_type values that make LiteLLM's
role in upstream authentication explicit, added alongside the existing
delegate_auth_to_upstream / oauth_passthrough flags without changing their
behavior.

true_passthrough is a transparent proxy: LiteLLM performs no admission auth,
requires no x-litellm-api-key, mints/stores/refreshes nothing, and forwards the
client's Authorization to the upstream exactly as received. oauth_delegate keeps
normal LiteLLM admission (x-litellm-api-key / SSO / JWT) and then forwards the
client's separate upstream Authorization unchanged; the admission credential is
never forwarded upstream.

Both modes forward the caller's token via the existing extra_headers path and
defer egress credential resolution to v1 (the v2 to_server_spec returns None for
them). Upstream 401/403 responses are surfaced rather than swallowed so upstream
OAuth challenges are preserved. Servers in either mode require per-user auth, so
userless health checks are skipped.
…OAuth discovery

Both modes advertised LiteLLM as the authorization server and answered initialize locally, so a client with no token connected empty and was never driven into the upstream OAuth flow. The protected-resource discovery now proxies the upstream metadata for both modes (verbatim for true_passthrough, resource rewritten to the gateway for oauth_delegate), and the preemptive 401 emits the matching challenge: oauth_delegate uses the gateway-proxied resource_metadata once admission passes, true_passthrough probes the upstream anonymously and surfaces its WWW-Authenticate verbatim so the client authorizes directly against the upstream
oauth_delegate forwards the caller's token to the upstream, which validates its
audience, so the protected-resource metadata must keep resource pointing at the
upstream (returned verbatim, like true_passthrough) rather than rewriting it to
the gateway. Rewriting to the gateway asks the client to mint a token bound to
the gateway audience, which a strict IdP (Entra) refuses to issue for an
unregistered resource and a spec-compliant upstream rejects on receipt. The
legacy is_oauth_passthrough opt-in keeps the gateway rewrite unchanged.
Root cause: PR #30867 removed request-time os.environ/ expansion in
BaseAWSLLM.get_credentials. That is only safe if config-load pre-resolves
os.environ/ refs so the value reaching get_credentials is already the real
secret. The YAML config path has always done this. The DB-load path
(ProxyConfig._resolve_db_litellm_param) only re-expanded keys in a hardcoded
whitelist (_DB_LITELLM_PARAM_ENV_REF_KEYS) plus short-circuited env-ref
resolution entirely for team-scoped rows. PR #32256 extended that whitelist
to 18 keys to unblock a customer whose Bedrock model with aws_role_name:
os.environ/BEDROCK_ASSUME_ROLE_ARN broke on v1.90+, but the whitelist is
structurally fragile: every future auth field breaks the same way until
someone remembers to add it

Fix: remove the whitelist and the team-scope short-circuit. The DB-load
resolver now expands os.environ/ on every string field, matching the YAML
path. Trust boundary stays on the write side: only PROXY_ADMIN can create
team_id=None rows, only team admins of a team can create rows scoped to
that team, and the request-body vector is still blocked by
_BANNED_REQUEST_BODY_PARAMS. Team-scoped rows now resolve env refs — this
is a deliberate LIT-3831 threat-model expansion trusting team admins for
env-var reads

Regression tests in tests/test_litellm/proxy/proxy_server/test_proxy_config.py:
- test_ProxyConfig__add_deployment_resolves_env_refs_after_db_decrypt pins
  admin-scoped rows resolve every field (previously api_base stayed literal)
- test_ProxyConfig__add_deployment_resolves_team_env_refs pins team rows
  resolve env refs (previously stayed literal)
- test_ProxyConfig__add_deployment_resolves_env_refs_on_arbitrary_field pins
  the no-whitelist invariant against a made-up field name
- test_ProxyConfig__add_deployment_resolves_env_refs_for_aws_bedrock_auth_params
  (from #32256) still passes
- Path B counterparts (decrypt_model_list_from_db) mirror the above

Left as followups (not fixed here):
- /model/info and /v2/model/info still echo resolved values for fields not
  in the current pop-list (aws_role_name, aws_sts_endpoint, api_base, etc.).
  Fix is to extend remove_sensitive_info_from_deployment; separate PR
- Master-key rotation reads DB rows via decrypt_model_list_from_db which
  now resolves universally, so rotation collapses env-refs into hardcoded
  values. Pre-existing bug for the 6 previously-whitelisted fields; wider
  surface after this PR. Separate PR
* fix(ui): scope key models dropdown options to the key's team

A teamless key no longer offers the all-team-models option in the create and
edit forms; the backend expands that sentinel to the full proxy model list when
no team is attached, which is rarely what the user intended. A team key no
longer surfaces the all-proxy-models sentinel that leaks in verbatim when the
team's own model list carries it; the dropdown keeps All Team Models plus the
team's individual models.

Adds browser coverage to the management e2e suite: playwright (an optional
dependency behind importorskip) drives the proxy-served dashboard at /ui,
asserts the dropdown options a real user sees for teamless and team keys on
both create and edit, and walks the create modal end to end, reading the
persisted key back through /key/info.

* fix(ui): offer all-proxy-models on teamless keys in the models dropdown

A teamless key has no team allowlist to inherit, so the dropdown now offers All
Proxy Models in place of All Team Models on both the create and edit forms, with
the same exclusive-selection handling. Component and browser e2e tests updated to
pin the swapped option pair; the teamless create case now also walks the modal end
to end and reads the persisted key back through /key/info.

* test(ui): update no-team key creation spec to pick All Proxy Models

The create modal no longer offers All Team Models without a team; the teamless
path now offers All Proxy Models, which is what this spec exercises

* fix(ui): gate All Team Models on the team object being loaded

When a key has a team_id but the teams prop does not yet include the matching team, availableModels stays empty and the models dropdown rendered All Team Models on its own with nothing to compare against. Gate the option on the team object being present so it only appears once team models are known, and add a regression test for the loading state

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(ui): filter all-proxy-models from teamless model fetch in key edit form

The teamless fetch path stored modelAvailableCall results without excludeProxyWideSentinel, so an all-proxy-models entry in the response rendered a second option colliding with the hardcoded All Proxy Models sentinel. Apply the same filter used on the team path and add a regression test asserting the sentinel option is not duplicated

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Mubashir Osmani <mubashir@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
…ng uplift (#32387)

* fix(model_prices): add gpt-realtime-2.1 models with regional processing uplift

* fix(model_prices): add cache_read_input_audio_token_cost to gpt-realtime-2.1
…uery params (#32404)

* fix(passthrough): stop request params from clobbering merged target query params

* fix(passthrough): rewrite managed ids in query params before folding them into the URL
* Split LLM e2e coverage modules

* Add e2e coverage dashboard metrics

* Remove dashboard brief from e2e coverage PR
In a listing fan-out over a scope containing more than one server that
consumes the caller's Authorization (true_passthrough, oauth_delegate,
or the legacy delegate/passthrough shapes), the request-wide bearer is
now withheld from the new modes instead of being replayed against every
upstream (RFC 9700 cross-resource replay). Explicitly-addressed
operations (tool call, get_prompt, read_resource, single-server routes)
keep forwarding it.

Multi-server aggregates use the per-server x-mcp-{alias}-authorization
header instead: its value now feeds the passthrough resolver arm as the
inbound token and wins over the request-wide header, binding one token
to one server.
…ricing in get_model_info (LIT-4056) (#32389)

* fix(utils): resolve bedrock regional inference profiles to regional pricing in get_model_info (LIT-4056)

* test(register_model): use a triple provider prefix as the unresolvable-key fixture

get_model_info now resolves bedrock/bedrock/... like a routing prefix, so the
double-prefix fixture stopped exercising the register_model fallback path.
Lock the new double-prefix resolution in as a model-info regression test
…fering in memory (#32386)

* fix(passthrough): stream non-sse passthrough responses instead of buffering in memory

Non-SSE passthrough responses were fully read into proxy memory (content = await response.aread()) before the first byte reached the client. For large non-JSON bodies such as Anthropic batch results jsonl files this ballooned proxy RSS to a multiple of the file size and produced near-total TTFB dead air, letting intermediaries kill the silent connection and truncate the download.

The upstream request is now sent with httpx stream semantics and the buffering decision is made from the response headers: application/json (and +json) bodies plus upstream errors keep the buffered behavior since spend logging, guardrails and managed-id rewriting inspect them, while every other 2xx body is relayed as a StreamingResponse that iterates upstream bytes without accumulating them, preserving status code and headers (including x-litellm-*) and firing the success-handler logging with response_body=None once the stream completes.

* fix(passthrough): log client disconnects mid-stream and derive test client cache key from production code

* test(passthrough): intercept AsyncClient.send in legacy passthrough tests and assert final wire params

* test(passthrough): fail with a clear assert when the passthrough client cache scan misses
…ates

fix(proxy): resolve os.environ/ refs universally in DB-sourced models
…imeout-only failures to stop 15m no-output kills (#32420)
…provider timeout (#32424)

* ci(responses): bound azure shell tool e2e call and enforce per-test timeout

The azure variant of test_responses_api_shell_tool always makes a live
Azure call (its skip outcome means no VCR cassette is ever persisted).
When Azure held the connection instead of answering, the call sat on
litellm's 6000s responses deadline until CircleCI killed the whole job
via no_output_timeout after 15m of silence (job 2013288).

Bound the e2e call at 90s and skip on litellm.Timeout, matching the
existing InternalServerError and BadRequestError skips, and give the
llm_responses_api_testing job the same pytest-timeout guard the
llm_translation_testing job already uses so no single hung test can
consume the 15m no-output window again.

* test(responses): drop job-level pytest timeout, keep shell tool 90s bound
…32422)

* ci: skip unit test workflows when only docs or ui files change

Mirror the CircleCI backend path filter (.circleci/scripts/classify_changes.sh)
in the GitHub Actions unit test workflows by adding paths-ignore for ui/**,
docs/**, *.md and *.mdx to every test-unit-*.yml pull_request trigger

* ci: drop docs/** from unit test paths-ignore since the folder no longer exists
…t forms (#32397)

* feat(ui): expose MCP max_concurrent_requests in server create and edit forms

The proxy has enforced a per-server outbound tool-call concurrency cap
(max_concurrent_requests) across every MCP egress path since #31641, and the
management API has accepted the field on create and update all along, but the
dashboard offered no way to set it. Add an optional Max Concurrent Requests
input to the MCP server create and edit forms; it applies to every auth type
and transport, so it renders unconditionally rather than gated on auth mode.
Clearing the field on edit sends null so the stored limit is unset.

Also rebuild the per-server semaphore when the configured limit changes.
Previously the semaphore was created once per server_id and never resized, so
an edited limit only took effect after a proxy restart even though the new
value was persisted and reloaded into the registry.

* feat(ui): mark MCP max concurrent requests field label as optional

* test(ui): stop OBO create-form tests from timing out on CI

The token-exchange payload test and the Entra scope-required test filled five
text fields with user.type, which dispatches a full keystroke sequence per
character; every input event runs the antd form onValuesChange handler and
re-renders the whole CreateMCPServer tree, roughly 120 renders per test. As
the form grew the two tests reached 8s and 18s locally, which crosses the 30s
vitest timeout on slower CI containers; ui_unit_tests failed twice this way.
Switch the plain text fields to fireEvent.change (one input event per field),
matching the existing stdio test pattern. Both tests assert form output, not
keystroke behavior, and now run in about 3s each.
Add a tag_rpm_limit field to virtual keys so each request tag gets its own independent RPM counter on the v3 rate limiter. A key configured with per-tag limits tracks each tag/group separately, and requests whose tag has no configured limit fall back to the key-level limit. Includes the dashboard UI to manage per-tag limits on key create and edit.

Resolves LIT-3147
…w changes (#32302)

* fix(mcp): drop the cached per-user OAuth token when the credential row changes

The v2 authorization_code chain Cached(Refreshing(V2PerUserTokenStore)) caches a positive token
until its expires_at (or 300s without one), and CachedOAuthTokenStore.invalidate had no callers,
so a re-authorization or revocation wrote the DB while egress kept serving the replaced token
from the in-process cache until its TTL. LazyPerUserOAuthTokenStore now exposes invalidate,
MCPServerManager threads it to the write side, and the three credential write sites (the OAuth
callback, the Tools-tab persist endpoint, and the revoke endpoint) drop the cache entry after
the row changes. The v2 refresher's own persist stays untouched; RefreshingTokenStore already
feeds the rotated token back into the cache in the same fetch

* test(mcp): pin cache invalidation on the revoke already-gone branch

Greptile's review flagged that only the happy-path delete asserted the invalidate; a refactor
moving the call inside the try block would silently skip the cache drop when the row was
already deleted by a concurrent request while the cache still held the revoked token. The new
test fails on exactly that mutation

* test(mcp): cover invalidate on the redis-backed lazy store path

Codecov flagged the redis fast path of LazyPerUserOAuthTokenStore.invalidate as unexercised;
the existing invalidate tests only ran the no-redis chain. The new test builds the redis chain
via a fetch and asserts a subsequent invalidate reaches the same store instance without a
rebuild
…ettes (#32390)

* test(realtime): record and replay websocket traffic in redis vcr cassettes

* style(realtime): ruff-format ws-vcr harness

* fix(realtime): warn instead of silently disabling ws-vcr when the redis client cannot be built
devin-ai-integration Bot and others added 21 commits July 8, 2026 17:37
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Ishaan Jaffer <155045088+ishaan-berri@users.noreply.github.com>
…est content (#32533)

* fix(rerank): log optional_rerank_params at debug not info to avoid leaking request content

* test(rerank): exercise sync rerank path so coverage counts the log line

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
…te (#30857)

* refactor(ui): point invitation links at the dedicated /onboarding route

Invitation and reset-password links were built as /ui?invitation_id=..., which lands on the dashboard index and renders the onboarding form inline. They now point at the standalone /ui/onboarding route, so the index no longer has to special-case invitations. Old links keep working unchanged; the index still renders onboarding inline for ?invitation_id until the migration closeout removes that branch.

Updates the three generators (the enterprise email builder, bulk user create, and the invitation/reset-password modal) and extracts the modal's URL building into a pure, unit-tested buildOnboardingUrl

Refs LIT-3687

* refactor(ui): guard buildOnboardingUrl against a missing invitation id

Return "" instead of emitting an invitation_id=undefined link when the id is not yet available, matching the existing empty-baseUrl guard. Placed after the SSO branch so the SSO link, which does not use the id, is unaffected

Refs LIT-3687
…cks (#32551)

Bedrock Converse supports cachePoint ttl (1h GA for Claude 4.5+), and
_get_cache_point_block maps cache_control.ttl -> cachePoint.ttl, but the
model parameter its allow-list gate requires was only threaded through
the system-message path. Every message-level path either called
_get_cache_point_block without model= (8 call sites in
_bedrock_converse_messages_pt / _pt_async) or hardcoded
CachePointBlock(type="default") (tool-result blocks and
_convert_to_bedrock_tool_call_invoke), so a requested 1h ttl silently
degraded to the 5-minute default - exactly on the conversation-tail
breakpoint that long-running agents need to survive tool calls longer
than 5 minutes.

- pass model= at the 8 _get_cache_point_block call sites
- tool-result blocks: capture the cache_control dict (was a boolean)
  and route through _get_cache_point_block so ttl survives
- _convert_to_bedrock_tool_call_invoke: accept optional model and route
  per-tool-call cache_control through _get_cache_point_block

Completes the ttl support added for system messages (#19848, #20326):
message-level cache_control now behaves identically.

Note: message-level cache_control on a content-less assistant message
emits no cachePoint at all today; that pre-existing gap is orthogonal
to ttl and left out of scope (per-tool-call placement covers it).

Co-authored-by: Arash <arashne@glia-ai.com>
…elpers (#32542)

* fix(guardrails): walk Responses-API text taxonomy in shared content helpers

Every guardrail sharing litellm/proxy/guardrails/_content_utils.py silently
drops all text on the /v1/responses path. AIM turns it into a loud 422 (
{"error":"No messages in the request"}); every other guardrail (Lakera v2,
Cato, Lasso, Repello, IBM, Azure Content Safety, enterprise secret
detection) scans an empty payload and lets the request through unscanned.

Three defects, all in _content_utils.py:

1. _iter_text_parts_in_content recognised only part.type == "text", but the
   Responses API uses input_text (request) and output_text (assistant).
2. _coerce_input_to_messages gated on "every item has a role key"; any
   Responses input list containing a function_call or function_call_output
   item failed the check and was wrapped as one opaque blob.
3. build_inspection_messages forwarded any role through, including a bare
   tool role missing tool_call_id, which validators like AIM's /fw/v1/analyze
   reject with a schema error.

Fix walks the actual Responses item taxonomy (message, function_call,
function_call_output, bare content parts and strings), recognises
{text, input_text, output_text} everywhere, and coerces any role outside
{system, user, assistant} to user in the outbound inspection payload.

* style: ruff-format changed guardrail files

* test(guardrails): cover function_call_output string form; drop em-dash in new docstring

* fix(guardrails): map function_call_output straight to user role

Avoids ever materialising a schema-invalid bare tool message. The
downstream role-safety coercion in build_inspection_messages still
guards genuinely caller-supplied non-standard roles (developer,
function, custom values); add a regression test covering that path
so the coercion has real coverage after this simplification.

* test(guardrails): pin chat-completions tool-role coercion in build_inspection_messages

* docs(test): soften AIM-specific claims in LIT-4294 test docstrings

Ryan's review flagged that several test docstrings assert AIM's
/fw/v1/analyze validates + rejects specific schema violations. That
behavior is customer-reported in the LIT-4294 writeup, not directly
verified by us. Rephrase to attribute the AIM 422 to the customer's
writeup and describe the underlying constraint as the OpenAI chat
schema; any downstream API that validates against that schema rejects
the same shape.

* refactor(guardrails): move unsupported-role coercion into AIM only

The generic coercion in build_inspection_messages collapsed any role
outside {system, user, assistant} to user for every caller of the
helper. Combined with the pre-existing apply_redacted_messages_back
write-back behavior in Lakera/AIM/Cato, that turned a loud OpenAI 400
on chat-completions tool-message masking into a silent semantic
corruption of the outbound request (role tool with tool_call_id got
rewritten to bare role user, dropping the assistant + tool_calls
sibling).

AIM specifically requires the coercion because its /fw/v1/analyze
validates the payload against the OpenAI chat schema; other guardrails
either do not validate roles or do their own reconstruction. Move the
coercion to AimGuardrail._build_aim_inspection_messages so the shared
helper keeps caller roles intact and no new cross-guardrail role
corruption is introduced. The pre-existing apply_redacted_messages_back
structural flatten remains as separate follow-up work.

function_call_output items still synthesise role user in the shared
helper because they have no natural role field, which is a different
concern from coercing a caller-supplied role.

* refactor(guardrails): preserve role fidelity in shared _content_utils

Shared inspection helpers should extract text and preserve semantic
role signals; role coercion for third-party schema safety stays inside
the guardrail that needs it (AIM).

Three shared-helper changes:
- Bare content-part dicts (input_text/output_text) with an explicit role
  keep it; only role-less parts default to user.
- Responses message items already had their role preserved; the
  behavior is now covered by an explicit test.
- function_call_output items default to role tool (semantic equivalent
  of the chat-completions tool message shape) instead of role user, so
  Responses and chat completions produce symmetric inspection payloads.
  A caller-supplied role on the item is still preserved.

AIM's schema-safe coercion in _build_aim_inspection_messages already
handles the resulting role tool: it collapses to user before the POST
to /fw/v1/analyze so AIM's OpenAI-schema validator does not reject the
bare tool message (no tool_call_id can survive the flatten). Added a
regression test in test_aim.py covering that path.
…mespace (#32591)

The v2 OTel integration stamped litellm-specific error details as
error.code, error.stack_trace, and error.llm_provider, squatting on the
semconv-owned error.* namespace. They now live at
litellm.provider.error.code, litellm.provider.error.stack_trace, and
litellm.provider.error.llm_provider alongside the other vendor-extension
keys. error.type and error.message stay on the semconv keys.
When an IdP denies SSO access it redirects back to /sso/callback with
error and error_description query params and no code param. The callback
previously fell through to the provider token exchange, which failed
with a generic "'code' parameter was not found in callback request"
400 that hides the real denial reason. Raise a 401 that surfaces the
IdP's error and description instead.

Ported from #26640 with conflicts resolved against current staging
fix(deps): constrain soupsieve>=2.8.4 to patch two high-severity CVEs
…d_filter

feat(ui): add session id filter to request logs
…itellm_/release-version-bump-nightly-c31ca1

# Conflicts:
#	uv.lock
…nightly-c31ca1

chore: bump litellm-enterprise 0.1.48 -> 0.1.49
#32485)

The expanded reasoning block did not constrain its width or break long unbreakable tokens, so its inline-block bubble grew past its max width and pushed the whole page wider (#32481). Mirror the message body handling by capping the container width and breaking long words/code.

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Signed-off-by: T K Chandra Hasan <t.k.chandra.hasan@ibm.com>
* feat(models): add GPT-5.6 (sol/terra/luna) pricing and metadata

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test: allow gpt-5.6 service-tier cache-write keys in model prices schema

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix: floating point entry errors

---------

Co-authored-by: mateo <mateo@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
@greptile-apps

greptile-apps Bot commented Jul 9, 2026

Copy link
Copy Markdown
Contributor

Too many files changed for review. (244 files found, 100 file limit)

Bypass the limit by tagging @greptile-apps to review.

@CLAassistant

CLAassistant commented Jul 9, 2026

Copy link
Copy Markdown

CLA assistant check
Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution.
9 out of 12 committers have signed the CLA.

✅ yucheng-berri
✅ mateo-berri
✅ tin-berri
✅ mubashir1osmani
✅ thibault-linktree
✅ katzdave
✅ hasan4791
✅ ryan-crabbe-berri
✅ yuneng-berri
❌ ishaan-berri
❌ devin-ai-integration[bot]
❌ yassin-berriai
You have signed the CLA already but the status is still pending? Let us recheck it.


export function buildOnboardingUrl({
baseUrl,
invitationId,
@shin-berri
shin-berri merged commit f824783 into main Jul 9, 2026
66 of 70 checks passed
@codecov

codecov Bot commented Jul 9, 2026

Copy link
Copy Markdown

@codspeed-hq

codspeed-hq Bot commented Jul 9, 2026

Copy link
Copy Markdown
Contributor

Merging this PR will degrade performance by 17.6%

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

❌ 1 regressed benchmark
✅ 29 untouched benchmarks
🆕 1 new benchmark

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Benchmark BASE HEAD Efficiency
test_completion_multi_turn 3.1 ms 3.8 ms -17.6%
🆕 test_logging_executor_runs_inline N/A 125.7 µs N/A

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.


Comparing litellm_internal_staging (a874de6) with main (9996378)1

Open in CodSpeed

Footnotes

  1. No successful run was found on main (a874de6) during the generation of this report, so 9996378 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report.

and decrypted_value.startswith("os.environ/")
):
if isinstance(decrypted_value, str) and decrypted_value.startswith("os.environ/"):
return get_secret(decrypted_value)

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

High: Environment secret exfiltration via team models

Resolving every os.environ/ value here also resolves values stored on team-scoped DB models. A team admin can create a team model with litellm_params.api_key: "os.environ/OPENAI_API_KEY" and an attacker-controlled api_base; when the router reloads, this line replaces the reference with the process secret and subsequent requests forward that secret to the attacker-controlled endpoint. Keep environment-variable resolution limited to proxy-admin-owned model rows, or reject os.environ/ references on team-scoped rows before constructing LiteLLM_Params.

@veria-ai

veria-ai Bot commented Jul 9, 2026

Copy link
Copy Markdown
Contributor

PR overview

This pull request promotes internal staging changes into the main branch and includes updates around proxy server model configuration and router reload handling.

There is one open security issue. Team-scoped model configuration can currently resolve environment-variable references, which could let a team admin cause process secrets to be forwarded to an attacker-controlled model endpoint. No issues have been addressed yet, so the PR still carries a clear secret-exfiltration risk until environment-variable resolution is restricted to trusted proxy-admin-owned configuration or rejected for team-scoped rows.

Open issues (1)

Fixed/addressed: 0 · PR risk: 8/10

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.