mirror of
https://github.com/BerriAI/litellm.git
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39656 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Filippo Menghi
|
2e579f543c
|
fix(openai): forward client headers on the text completion path (#30103)
* fix(openai): forward client headers on the text completion path litellm.completion() merges caller headers with extra_headers, but the text-completion-openai branch never passed the merged dict to openai_text_completions.completion(), and the handler only used its headers argument for logging. Pass the merged headers through the call site and set them as extra_headers on the outgoing request, mirroring the chat completion handler, so x-* client headers forwarded by the proxy reach the provider on /v1/completions. Fixes #27410. * Drop redundant extra_headers assignment and fix test module collision completion() merges extra_headers into headers before the text-completion-openai branch, and the handler now sets the merged headers as extra_headers on the request, so the branch-local optional_params["extra_headers"] assignment was a dead duplicate. Removing it keeps the assignment in one place while both entry paths (litellm.text_completion and direct handler callers) still forward headers; a new regression test pins the extra_headers kwarg path. Also rename the test module to test_completion_handler.py since its basename collided with tests/test_litellm/llms/bedrock/batches/ test_handler.py and broke pytest collection. |
||
|
Filippo Menghi
|
ca9284f8da
|
fix(proxy): count embedding and text completion tokens toward TPM limits (#30105)
* fix(proxy): count embedding and text completion tokens toward TPM limits The parallel request limiters only read token usage off ModelResponse, so EmbeddingResponse and TextCompletionResponse objects left total_tokens at 0 and the per key, user, team, and end user TPM counters never incremented. Requests to /v1/embeddings and /v1/completions were effectively free against any tpm_limit. In the v3 limiter this was worse: the post-call reconciliation computed actual usage as 0 and refunded the pre-call reservation made at request time. Broaden the isinstance checks to accept EmbeddingResponse and TextCompletionResponse, which both expose a Usage object, at the four per-scope sites in parallel_request_limiter.py and at the usage extraction in parallel_request_limiter_v3.py. ResponsesAPIResponse was already covered in v3 via BaseLiteLLMOpenAIResponseObject. Fixes #27738. * test(proxy): cover v1 limiter TPM counting for embedding and text completion responses Exercise the broadened isinstance sites in parallel_request_limiter.py by asserting that async_log_success_event adds total_tokens to the per key, user, team, and end user TPM counters for EmbeddingResponse and TextCompletionResponse objects. The counters are pre-seeded at zero so the assertion is exactly the increment; on the pre-fix code these responses left total_tokens at 0 and the test fails. |
||
|
Filippo Menghi
|
d47268939d
|
fix(mcp): coerce mcp_server_cost_info values to float at ingest (#30109)
* fix(mcp): coerce mcp_server_cost_info values to float at ingest YAML 1.1 parses scientific notation without a decimal point (e.g. 7e-05) as a string, and MCPServerCostInfo is a TypedDict with no runtime validation, so a string-typed default_cost_per_query from config.yaml flowed through the proxy untouched and crashed the MCP server settings page with '.toFixed is not a function'. Normalize mcp_server_cost_info on both the config and DB load paths, dropping non-numeric values with a warning instead of failing the server load. Fixes #27097. * fix(mcp): drop non-numeric default_cost_per_query instead of nulling it Keeping the key with a None value still exposes a null to the UI, which can crash .toFixed formatting when the consumer checks key existence rather than truthiness. Delete the key on coercion failure, matching how non-numeric per-tool cost entries are already omitted. |
||
|
Filippo Menghi
|
ea29b28f40
|
fix(sdk): stop mirroring reasoning_content in provider_specific_fields (#30110)
The dict-to-response conversion path mirrored reasoning_content into provider_specific_fields, while live provider transforms (Anthropic's _build_provider_specific_fields) only set it top-level on the Message. Cache-replayed messages therefore serialized differently from live ones, breaking disk cache key stability for multi-turn conversations with extended thinking. The mirror was added for DeepSeek before Message.reasoning_content existed as a top-level attribute. The top-level field is still set by the converter, so DeepSeek's request-side promotion is unaffected. Fixes #27337. |
||
|
Filippo Menghi
|
993650fdf8
|
fix(router): don't drop bedrock pass-through deployments using IAM credentials (#30111)
* Fix Bedrock passthrough deployment dropped when using IAM credentials Bedrock deployments with use_in_pass_through enabled and IAM/OIDC auth (aws_role_name, no api_key) hit the generic pass-through branch in Router._initialize_deployment_for_pass_through, which calls set_pass_through_credentials and raises "api_key is required". The exception drops the deployment from the router entirely, breaking both passthrough and normal routing for that model. Skip the credential store write when no api_key is set; the bedrock passthrough route resolves AWS credentials at request time via BedrockConverseLLM.get_credentials(), not the passthrough credential store, so there is nothing to register here. Fixes #27728. * Reset passthrough credentials singleton before api_key credential test The test reads the module-level passthrough_endpoint_router singleton, so a stale "openai" entry written by an earlier test in the same process could make the assertion pass without exercising the code path. Clearing the credentials dict up front makes the test order-independent. |
||
|
Filippo Menghi
|
41cddfd4e4
|
fix(proxy): coerce litellm_settings.max_budget env var to float (#30113)
* fix(team): reserve team budget raises for proxy admins on /team/update (#30030)
The caller's PERSONAL max_budget was the wrong yardstick for /team/update: a
team's spend ceiling has nothing to do with the admin's own key budget. That
comparison was an unintended side effect of reusing _check_user_team_limits()
(which exists for the /team/new path) and broke the UI, which re-sends the
unchanged budget on every save.
New behavior on /team/update for standalone teams:
- A team admin (already authorized via _verify_team_access) may freely KEEP or
LOWER the team budget, and change models/tpm/rpm, without being gated by their
personal limits.
- GROWING a team's spend ceiling is a budget-authority action reserved for proxy
admins -> 403 for team admins. "Growing" covers both raising max_budget above
the team's current finite value and removing the cap entirely (max_budget=null,
detected via model_fields_set so an explicit null is distinguished from an
omitted field). For a team that currently has no cap, setting a finite value is
a restriction and is allowed.
- Org-scoped teams remain governed by _check_org_team_limits() (capped by the
org budget).
Also reverts the #29525 existing_team_max_budget workaround in
_check_user_team_limits() back to the create-only form; /team/new still enforces
the creator's personal caps.
docs(access_control): resolve the contradiction in the team-admin section —
team admins can keep/lower the budget and manage rate limits/models, but cannot
raise the team budget (proxy-admin only).
tests: unit + behavior coverage for raise-blocked, cap-removal-blocked (team
admin), raise/removal allowed (proxy admin), uncapped-team restriction allowed,
keep/lower/resend allowed, and unchanged create-path guards.
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(ui): data-driven App Router migration E2E smoke (default + server-root-path) (#29974)
* test(ui): add a data-driven App Router migration E2E smoke
Add a growing Playwright smoke for migrated pages: for each segment it deep-links
to the path route, asserts the URL and that the dashboard shell rendered, then
clicks off to a legacy page and asserts navigation still works. Driven by
e2e_tests/fixtures/migratedPages.ts, so adding a page is one line.
Runs in two situations against the same proxy: the default mount (npm run
e2e:migration) and a non-root SERVER_ROOT_PATH mount (npm run e2e:migration:root).
globalSetup now logs in at `${SERVER_ROOT_PATH}/ui/login` so the admin storage
state is valid under a prefix. Seeded with api-reference; append the rest as their
migrations merge.
* test(ui): support headed slow-motion + watch pauses in the migration smoke
Honor SLOWMO in the server-root-path config (the default config already did),
and add an env-gated E2E_WATCH_MS pause so a headed run lingers on each state.
Both are no-ops by default, so CI behavior is unchanged.
* test(ui): make the migration smoke a sidebar-click user journey
Rework the smoke from deep-linking to a real navigation journey: start at the
landing page, click the migrated page in the sidebar (expanding submenus for
nested items), assert the path route rendered, reload it (the check a wrong
server_root_path breaks), bounce to a legacy page and back, and — once two pages
are migrated — navigate directly between two migrated pages. Verifies via URL +
shell render, driven by the same fixture list.
* test(ui): address review on the migration smoke
Escape ROOT and segment before interpolating them into RegExp URL matchers so a
future segment containing regex metacharacters can't silently widen the match.
Make the server-root-path config fail fast when SERVER_ROOT_PATH is unset instead
of silently re-running the default mount and passing without exercising the prefix.
* test(ui): drop unused watch helper and fix stale smoke README
* test(ui): run the migration smoke under a server root path in CI
* test(ui): harden + instrument the server-root-path proxy reboot in CI
* test(ui): run the server-root-path migration smoke as its own CI job
Replace the in-place proxy reboot in e2e_ui_testing with a dedicated
e2e_ui_testing_server_root_path job that boots the proxy once with
SERVER_ROOT_PATH=/litellm, matching how every other proxy variant in the
config gets its own job rather than killing and relaunching the live proxy.
The reboot was failing deterministically: after pkill -9 and relaunch the
prefixed proxy never came back up on :4000 (connection refused), so the smoke
never ran. The readiness step that was supposed to surface the cause could
never reach its boot-log tail because CircleCI runs steps under bash -eo
pipefail and the preceding `curl -sv ... | tail` aborted the step with curl's
exit 7. Booting the proxy as the job's own background step lets any boot crash
land in that step's log instead of being swallowed.
The default e2e_ui_testing job is unchanged aside from dropping the reboot,
prefixed-readiness, and prefixed-smoke steps; the migration smoke still runs at
the root mount there via the default Playwright config.
* fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through (#24232)
* fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through
* test: mock post_call_response_headers_hook in audio speech route tests
* chore(ui): remove dead App Router route stubs under (dashboard) (#30045)
models-and-endpoints, organizations, and virtual-keys each had a page.tsx
route under (dashboard)/ that is not in MIGRATED_PAGES, so the sidebar and
deep links never resolve to it and the route is unreachable. Each was a thin
wrapper that handed the shared view empty or no-op props (empty modelData with
a no-op setModelData, hardcoded empty organizations, no-op
setUserRole/setUserEmail), so reaching one would render a degraded page in any
case. The real wrapper belongs in the PR that flips each page into
MIGRATED_PAGES, written with eyes on it and a test
This continues the dead-scaffolding cleanup from #28891. The shared components
these wrappers rendered (ModelsAndEndpointsView, OrganizationFilters) stay,
since the legacy ?page= switch in app/page.tsx and src/components still import
them
* fix(ui/mcp): reset OAuth state on create-server modal close so a prior server's token no longer leaks into the next add-server session (#30000)
* fix(ui/mcp): reset OAuth hook state on modal close so a prior server's token no longer leaks into the next add-server session
* fix(ui/mcp): clear in-flight OAuth guard on reset and reset form/tools on modal close so nothing leaks on a parent-driven dismiss
* fix(mcp): allow team access-group grants in OAuth authorize/token access check (#30041)
* fix(mcp): honor team access-group grants in OAuth authorize/token access check
* test(mcp): mock build_effective_auth_contexts in non-admin authorize tests for isolation
* docs(security): require a reproduction video for vulnerability reports (#30048) (#30063)
With AI models capable of automated vulnerability discovery now publicly
available, we expect a large increase in report volume, much of it
unverified. Requiring a video of the exploit running against a live
instance raises the bar for submissions and keeps triage focused on
reproducible issues. Reports without a video will be closed and reopened
if one is added later.
Co-authored-by: stuxf <70670632+stuxf@users.noreply.github.com>
* feat(ui): add admin flag to disable in-product UI nudges for everyone (#29796)
* feat(ui): add admin flag to disable in-product UI nudges for everyone
Admins can now suppress the survey and Claude Code feedback popups for
all users via a single disable_ui_nudges UI setting, instead of relying
on each user dismissing them individually.
* fix(ui): suppress nudges while ui settings are loading
Gate nudgesDisabled on the ui-settings loading state so an admin with
disable_ui_nudges on doesn't see the survey prompt flash, and the
getInProductNudgesCall fetch doesn't fire, on a cold page load before
the flag resolves. Falls back to showing nudges if the fetch errors.
* test(ui): wrap CreateKeyPage test in QueryClientProvider
page.tsx now calls useUISettings (react-query), which needs a
QueryClient that layout.tsx supplies in production but the test did
not. Add the provider and mock getUiSettings so the query resolves.
* chore(ui): remove dead dashboard files and unused dependencies (#30047)
* chore(ui): remove dead dashboard files and unused dependencies
knip flagged seven orphaned source/config files with no importers and
five declared dependencies that nothing in the tree uses. Removing them
shrinks the dashboard bundle's source surface and keeps the manifest
honest; vite stays installed transitively via vitest, so test tooling is
unaffected.
* fix(ci): restore serverRootPath.config.ts referenced by SERVER_ROOT_PATH workflow
The dead-code sweep removed e2e_tests/serverRootPath.config.ts, but its spec
(tests/login/serverRootPathRedirect.spec.ts) and the test_server_root_path.yml
workflow step still depend on it, so the redirect e2e job failed to load a
config that no longer existed.
* fix(proxy): authorize batch files using upload target_model_names (LIT-3593) (#30009)
* fix(proxy): authorize batch files using upload target_model_names (LIT-3593)
After replace_model_in_jsonl, body.model is a stripped provider id. Reverse-mapping it via resolve_model_name_from_model_id is first-match on model_list and caused false 403s when multiple deployments share the same stripped name. Use target_model_names from the unified file id instead.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593)
Restores the reverse-lookup for the JSONL body.model fallback path so that
legacy/pre-target_model_names managed files still map stripped provider IDs
back to proxy aliases before auth. Also cleans up redundant `or None`.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Revert "fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593)"
This reverts commit
|
||
|
Filippo Menghi
|
30de3bade8
|
fix: enable compact-2026-01-12 beta header for vertex_ai provider (#30114)
* fix(team): reserve team budget raises for proxy admins on /team/update (#30030)
The caller's PERSONAL max_budget was the wrong yardstick for /team/update: a
team's spend ceiling has nothing to do with the admin's own key budget. That
comparison was an unintended side effect of reusing _check_user_team_limits()
(which exists for the /team/new path) and broke the UI, which re-sends the
unchanged budget on every save.
New behavior on /team/update for standalone teams:
- A team admin (already authorized via _verify_team_access) may freely KEEP or
LOWER the team budget, and change models/tpm/rpm, without being gated by their
personal limits.
- GROWING a team's spend ceiling is a budget-authority action reserved for proxy
admins -> 403 for team admins. "Growing" covers both raising max_budget above
the team's current finite value and removing the cap entirely (max_budget=null,
detected via model_fields_set so an explicit null is distinguished from an
omitted field). For a team that currently has no cap, setting a finite value is
a restriction and is allowed.
- Org-scoped teams remain governed by _check_org_team_limits() (capped by the
org budget).
Also reverts the #29525 existing_team_max_budget workaround in
_check_user_team_limits() back to the create-only form; /team/new still enforces
the creator's personal caps.
docs(access_control): resolve the contradiction in the team-admin section —
team admins can keep/lower the budget and manage rate limits/models, but cannot
raise the team budget (proxy-admin only).
tests: unit + behavior coverage for raise-blocked, cap-removal-blocked (team
admin), raise/removal allowed (proxy admin), uncapped-team restriction allowed,
keep/lower/resend allowed, and unchanged create-path guards.
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(ui): data-driven App Router migration E2E smoke (default + server-root-path) (#29974)
* test(ui): add a data-driven App Router migration E2E smoke
Add a growing Playwright smoke for migrated pages: for each segment it deep-links
to the path route, asserts the URL and that the dashboard shell rendered, then
clicks off to a legacy page and asserts navigation still works. Driven by
e2e_tests/fixtures/migratedPages.ts, so adding a page is one line.
Runs in two situations against the same proxy: the default mount (npm run
e2e:migration) and a non-root SERVER_ROOT_PATH mount (npm run e2e:migration:root).
globalSetup now logs in at `${SERVER_ROOT_PATH}/ui/login` so the admin storage
state is valid under a prefix. Seeded with api-reference; append the rest as their
migrations merge.
* test(ui): support headed slow-motion + watch pauses in the migration smoke
Honor SLOWMO in the server-root-path config (the default config already did),
and add an env-gated E2E_WATCH_MS pause so a headed run lingers on each state.
Both are no-ops by default, so CI behavior is unchanged.
* test(ui): make the migration smoke a sidebar-click user journey
Rework the smoke from deep-linking to a real navigation journey: start at the
landing page, click the migrated page in the sidebar (expanding submenus for
nested items), assert the path route rendered, reload it (the check a wrong
server_root_path breaks), bounce to a legacy page and back, and — once two pages
are migrated — navigate directly between two migrated pages. Verifies via URL +
shell render, driven by the same fixture list.
* test(ui): address review on the migration smoke
Escape ROOT and segment before interpolating them into RegExp URL matchers so a
future segment containing regex metacharacters can't silently widen the match.
Make the server-root-path config fail fast when SERVER_ROOT_PATH is unset instead
of silently re-running the default mount and passing without exercising the prefix.
* test(ui): drop unused watch helper and fix stale smoke README
* test(ui): run the migration smoke under a server root path in CI
* test(ui): harden + instrument the server-root-path proxy reboot in CI
* test(ui): run the server-root-path migration smoke as its own CI job
Replace the in-place proxy reboot in e2e_ui_testing with a dedicated
e2e_ui_testing_server_root_path job that boots the proxy once with
SERVER_ROOT_PATH=/litellm, matching how every other proxy variant in the
config gets its own job rather than killing and relaunching the live proxy.
The reboot was failing deterministically: after pkill -9 and relaunch the
prefixed proxy never came back up on :4000 (connection refused), so the smoke
never ran. The readiness step that was supposed to surface the cause could
never reach its boot-log tail because CircleCI runs steps under bash -eo
pipefail and the preceding `curl -sv ... | tail` aborted the step with curl's
exit 7. Booting the proxy as the job's own background step lets any boot crash
land in that step's log instead of being swallowed.
The default e2e_ui_testing job is unchanged aside from dropping the reboot,
prefixed-readiness, and prefixed-smoke steps; the migration smoke still runs at
the root mount there via the default Playwright config.
* fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through (#24232)
* fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through
* test: mock post_call_response_headers_hook in audio speech route tests
* chore(ui): remove dead App Router route stubs under (dashboard) (#30045)
models-and-endpoints, organizations, and virtual-keys each had a page.tsx
route under (dashboard)/ that is not in MIGRATED_PAGES, so the sidebar and
deep links never resolve to it and the route is unreachable. Each was a thin
wrapper that handed the shared view empty or no-op props (empty modelData with
a no-op setModelData, hardcoded empty organizations, no-op
setUserRole/setUserEmail), so reaching one would render a degraded page in any
case. The real wrapper belongs in the PR that flips each page into
MIGRATED_PAGES, written with eyes on it and a test
This continues the dead-scaffolding cleanup from #28891. The shared components
these wrappers rendered (ModelsAndEndpointsView, OrganizationFilters) stay,
since the legacy ?page= switch in app/page.tsx and src/components still import
them
* fix(ui/mcp): reset OAuth state on create-server modal close so a prior server's token no longer leaks into the next add-server session (#30000)
* fix(ui/mcp): reset OAuth hook state on modal close so a prior server's token no longer leaks into the next add-server session
* fix(ui/mcp): clear in-flight OAuth guard on reset and reset form/tools on modal close so nothing leaks on a parent-driven dismiss
* fix(mcp): allow team access-group grants in OAuth authorize/token access check (#30041)
* fix(mcp): honor team access-group grants in OAuth authorize/token access check
* test(mcp): mock build_effective_auth_contexts in non-admin authorize tests for isolation
* docs(security): require a reproduction video for vulnerability reports (#30048) (#30063)
With AI models capable of automated vulnerability discovery now publicly
available, we expect a large increase in report volume, much of it
unverified. Requiring a video of the exploit running against a live
instance raises the bar for submissions and keeps triage focused on
reproducible issues. Reports without a video will be closed and reopened
if one is added later.
Co-authored-by: stuxf <70670632+stuxf@users.noreply.github.com>
* feat(ui): add admin flag to disable in-product UI nudges for everyone (#29796)
* feat(ui): add admin flag to disable in-product UI nudges for everyone
Admins can now suppress the survey and Claude Code feedback popups for
all users via a single disable_ui_nudges UI setting, instead of relying
on each user dismissing them individually.
* fix(ui): suppress nudges while ui settings are loading
Gate nudgesDisabled on the ui-settings loading state so an admin with
disable_ui_nudges on doesn't see the survey prompt flash, and the
getInProductNudgesCall fetch doesn't fire, on a cold page load before
the flag resolves. Falls back to showing nudges if the fetch errors.
* test(ui): wrap CreateKeyPage test in QueryClientProvider
page.tsx now calls useUISettings (react-query), which needs a
QueryClient that layout.tsx supplies in production but the test did
not. Add the provider and mock getUiSettings so the query resolves.
* chore(ui): remove dead dashboard files and unused dependencies (#30047)
* chore(ui): remove dead dashboard files and unused dependencies
knip flagged seven orphaned source/config files with no importers and
five declared dependencies that nothing in the tree uses. Removing them
shrinks the dashboard bundle's source surface and keeps the manifest
honest; vite stays installed transitively via vitest, so test tooling is
unaffected.
* fix(ci): restore serverRootPath.config.ts referenced by SERVER_ROOT_PATH workflow
The dead-code sweep removed e2e_tests/serverRootPath.config.ts, but its spec
(tests/login/serverRootPathRedirect.spec.ts) and the test_server_root_path.yml
workflow step still depend on it, so the redirect e2e job failed to load a
config that no longer existed.
* fix(proxy): authorize batch files using upload target_model_names (LIT-3593) (#30009)
* fix(proxy): authorize batch files using upload target_model_names (LIT-3593)
After replace_model_in_jsonl, body.model is a stripped provider id. Reverse-mapping it via resolve_model_name_from_model_id is first-match on model_list and caused false 403s when multiple deployments share the same stripped name. Use target_model_names from the unified file id instead.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593)
Restores the reverse-lookup for the JSONL body.model fallback path so that
legacy/pre-target_model_names managed files still map stripped provider IDs
back to proxy aliases before auth. Also cleans up redundant `or None`.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Revert "fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593)"
This reverts commit
|
||
|
Filippo Menghi
|
f94d4360e5
|
fix(anthropic): synthesize content_block_start when Responses stream omits output_item.added (#30115)
* fix(team): reserve team budget raises for proxy admins on /team/update (#30030)
The caller's PERSONAL max_budget was the wrong yardstick for /team/update: a
team's spend ceiling has nothing to do with the admin's own key budget. That
comparison was an unintended side effect of reusing _check_user_team_limits()
(which exists for the /team/new path) and broke the UI, which re-sends the
unchanged budget on every save.
New behavior on /team/update for standalone teams:
- A team admin (already authorized via _verify_team_access) may freely KEEP or
LOWER the team budget, and change models/tpm/rpm, without being gated by their
personal limits.
- GROWING a team's spend ceiling is a budget-authority action reserved for proxy
admins -> 403 for team admins. "Growing" covers both raising max_budget above
the team's current finite value and removing the cap entirely (max_budget=null,
detected via model_fields_set so an explicit null is distinguished from an
omitted field). For a team that currently has no cap, setting a finite value is
a restriction and is allowed.
- Org-scoped teams remain governed by _check_org_team_limits() (capped by the
org budget).
Also reverts the #29525 existing_team_max_budget workaround in
_check_user_team_limits() back to the create-only form; /team/new still enforces
the creator's personal caps.
docs(access_control): resolve the contradiction in the team-admin section —
team admins can keep/lower the budget and manage rate limits/models, but cannot
raise the team budget (proxy-admin only).
tests: unit + behavior coverage for raise-blocked, cap-removal-blocked (team
admin), raise/removal allowed (proxy admin), uncapped-team restriction allowed,
keep/lower/resend allowed, and unchanged create-path guards.
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(ui): data-driven App Router migration E2E smoke (default + server-root-path) (#29974)
* test(ui): add a data-driven App Router migration E2E smoke
Add a growing Playwright smoke for migrated pages: for each segment it deep-links
to the path route, asserts the URL and that the dashboard shell rendered, then
clicks off to a legacy page and asserts navigation still works. Driven by
e2e_tests/fixtures/migratedPages.ts, so adding a page is one line.
Runs in two situations against the same proxy: the default mount (npm run
e2e:migration) and a non-root SERVER_ROOT_PATH mount (npm run e2e:migration:root).
globalSetup now logs in at `${SERVER_ROOT_PATH}/ui/login` so the admin storage
state is valid under a prefix. Seeded with api-reference; append the rest as their
migrations merge.
* test(ui): support headed slow-motion + watch pauses in the migration smoke
Honor SLOWMO in the server-root-path config (the default config already did),
and add an env-gated E2E_WATCH_MS pause so a headed run lingers on each state.
Both are no-ops by default, so CI behavior is unchanged.
* test(ui): make the migration smoke a sidebar-click user journey
Rework the smoke from deep-linking to a real navigation journey: start at the
landing page, click the migrated page in the sidebar (expanding submenus for
nested items), assert the path route rendered, reload it (the check a wrong
server_root_path breaks), bounce to a legacy page and back, and — once two pages
are migrated — navigate directly between two migrated pages. Verifies via URL +
shell render, driven by the same fixture list.
* test(ui): address review on the migration smoke
Escape ROOT and segment before interpolating them into RegExp URL matchers so a
future segment containing regex metacharacters can't silently widen the match.
Make the server-root-path config fail fast when SERVER_ROOT_PATH is unset instead
of silently re-running the default mount and passing without exercising the prefix.
* test(ui): drop unused watch helper and fix stale smoke README
* test(ui): run the migration smoke under a server root path in CI
* test(ui): harden + instrument the server-root-path proxy reboot in CI
* test(ui): run the server-root-path migration smoke as its own CI job
Replace the in-place proxy reboot in e2e_ui_testing with a dedicated
e2e_ui_testing_server_root_path job that boots the proxy once with
SERVER_ROOT_PATH=/litellm, matching how every other proxy variant in the
config gets its own job rather than killing and relaunching the live proxy.
The reboot was failing deterministically: after pkill -9 and relaunch the
prefixed proxy never came back up on :4000 (connection refused), so the smoke
never ran. The readiness step that was supposed to surface the cause could
never reach its boot-log tail because CircleCI runs steps under bash -eo
pipefail and the preceding `curl -sv ... | tail` aborted the step with curl's
exit 7. Booting the proxy as the job's own background step lets any boot crash
land in that step's log instead of being swallowed.
The default e2e_ui_testing job is unchanged aside from dropping the reboot,
prefixed-readiness, and prefixed-smoke steps; the migration smoke still runs at
the root mount there via the default Playwright config.
* fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through (#24232)
* fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through
* test: mock post_call_response_headers_hook in audio speech route tests
* chore(ui): remove dead App Router route stubs under (dashboard) (#30045)
models-and-endpoints, organizations, and virtual-keys each had a page.tsx
route under (dashboard)/ that is not in MIGRATED_PAGES, so the sidebar and
deep links never resolve to it and the route is unreachable. Each was a thin
wrapper that handed the shared view empty or no-op props (empty modelData with
a no-op setModelData, hardcoded empty organizations, no-op
setUserRole/setUserEmail), so reaching one would render a degraded page in any
case. The real wrapper belongs in the PR that flips each page into
MIGRATED_PAGES, written with eyes on it and a test
This continues the dead-scaffolding cleanup from #28891. The shared components
these wrappers rendered (ModelsAndEndpointsView, OrganizationFilters) stay,
since the legacy ?page= switch in app/page.tsx and src/components still import
them
* fix(ui/mcp): reset OAuth state on create-server modal close so a prior server's token no longer leaks into the next add-server session (#30000)
* fix(ui/mcp): reset OAuth hook state on modal close so a prior server's token no longer leaks into the next add-server session
* fix(ui/mcp): clear in-flight OAuth guard on reset and reset form/tools on modal close so nothing leaks on a parent-driven dismiss
* fix(mcp): allow team access-group grants in OAuth authorize/token access check (#30041)
* fix(mcp): honor team access-group grants in OAuth authorize/token access check
* test(mcp): mock build_effective_auth_contexts in non-admin authorize tests for isolation
* docs(security): require a reproduction video for vulnerability reports (#30048) (#30063)
With AI models capable of automated vulnerability discovery now publicly
available, we expect a large increase in report volume, much of it
unverified. Requiring a video of the exploit running against a live
instance raises the bar for submissions and keeps triage focused on
reproducible issues. Reports without a video will be closed and reopened
if one is added later.
Co-authored-by: stuxf <70670632+stuxf@users.noreply.github.com>
* feat(ui): add admin flag to disable in-product UI nudges for everyone (#29796)
* feat(ui): add admin flag to disable in-product UI nudges for everyone
Admins can now suppress the survey and Claude Code feedback popups for
all users via a single disable_ui_nudges UI setting, instead of relying
on each user dismissing them individually.
* fix(ui): suppress nudges while ui settings are loading
Gate nudgesDisabled on the ui-settings loading state so an admin with
disable_ui_nudges on doesn't see the survey prompt flash, and the
getInProductNudgesCall fetch doesn't fire, on a cold page load before
the flag resolves. Falls back to showing nudges if the fetch errors.
* test(ui): wrap CreateKeyPage test in QueryClientProvider
page.tsx now calls useUISettings (react-query), which needs a
QueryClient that layout.tsx supplies in production but the test did
not. Add the provider and mock getUiSettings so the query resolves.
* chore(ui): remove dead dashboard files and unused dependencies (#30047)
* chore(ui): remove dead dashboard files and unused dependencies
knip flagged seven orphaned source/config files with no importers and
five declared dependencies that nothing in the tree uses. Removing them
shrinks the dashboard bundle's source surface and keeps the manifest
honest; vite stays installed transitively via vitest, so test tooling is
unaffected.
* fix(ci): restore serverRootPath.config.ts referenced by SERVER_ROOT_PATH workflow
The dead-code sweep removed e2e_tests/serverRootPath.config.ts, but its spec
(tests/login/serverRootPathRedirect.spec.ts) and the test_server_root_path.yml
workflow step still depend on it, so the redirect e2e job failed to load a
config that no longer existed.
* fix(proxy): authorize batch files using upload target_model_names (LIT-3593) (#30009)
* fix(proxy): authorize batch files using upload target_model_names (LIT-3593)
After replace_model_in_jsonl, body.model is a stripped provider id. Reverse-mapping it via resolve_model_name_from_model_id is first-match on model_list and caused false 403s when multiple deployments share the same stripped name. Use target_model_names from the unified file id instead.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593)
Restores the reverse-lookup for the JSONL body.model fallback path so that
legacy/pre-target_model_names managed files still map stripped provider IDs
back to proxy aliases before auth. Also cleans up redundant `or None`.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Revert "fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593)"
This reverts commit
|
||
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Sameer Kankute
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168d809bfa
|
fix(skills): execute DB skills by matching the litellm_skill_ tool name prefix (#30116)
Skill IDs are generated as litellm_skill_<uuid> and the model-facing tool name is the sanitized skill ID, but the post-call execution gates in SkillsInjectionHook only ran tools whose name starts with "skill_", so DB skills were silently returned to the client as raw tool calls. Fixes #28122. Co-authored-by: Cursor <cursoragent@cursor.com> |
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Liam Scott
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217cedc988
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fix(proxy): use Responses-API transformer in pass-through cost tracking (#29728)
The `elif is_responses:` branch of `openai_passthrough_handler` was
calling the chat-completions `transform_response` on a Responses API
payload. The chat-completions transformer expects `choices: [...]`
in the raw response; the Responses API uses `output: [...]` and
`usage.input_tokens` / `usage.output_tokens` (not
`prompt_tokens` / `completion_tokens`). The result was a
KeyError 'choices' deep inside `convert_to_model_response_object`,
swallowed by the surrounding `except Exception` in the handler, and
the SpendLogs row was written by the fallback path with zeroed-out
tokens, spend, and model.
This bug silently undercounts cost for every successful pass-through
call to either OpenAI's `/v1/responses` or Azure's
`/openai/v1/responses` (deployments configured for the Responses
API). Reproduced 2026-06-04 against a real Azure OpenAI Responses
API deployment proxied through LiteLLM v1.88.0.
Fix: use the dedicated
`OpenAIResponsesAPIConfig.transform_response_api_response` for the
Responses branch. This transformer already exists in LiteLLM
(`litellm/llms/openai/responses/transformation.py`) and knows the
Responses-API on-the-wire shape. `litellm.completion_cost` already
handles `ResponsesAPIResponse` natively with `call_type="responses"`,
so no downstream changes are needed.
Tests:
test_responses_api_uses_responses_transformer_not_chat_completions
NEW. Real regression test — exercises the openai_passthrough_handler
with a real-shaped Responses payload (no `choices`, has `output`
and Responses-API `usage` keys) and NO mocked `get_provider_config`.
Pre-fix: raises KeyError 'choices' inside the chat-completions
transformer (the bug). Post-fix: returns a ResponsesAPIResponse,
completion_cost is called with call_type="responses" and a
ResponsesAPIResponse instance (asserted).
Verified to fail on un-fixed handler + pass on fixed handler
before commit.
test_responses_api_cost_tracking
UPDATED. Old test mocked `get_provider_config` (no longer called
in the responses branch post-fix). Now mocks the Responses
transformer directly (`OpenAIResponsesAPIConfig.transform_response_api_response`)
to test the downstream cost-calc contract.
Out of scope for this PR (separate followup):
- Recognizing *.cognitiveservices.azure.com (the newer Azure
OpenAI hostname) in the is_openai_*_route checks. Separate PR.
Co-authored-by: shin-berri <shin-laptop@berri.ai>
Co-authored-by: yuneng-jiang <yuneng@berri.ai>
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Dimitris Spachos
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7729ff5a13
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fix(proxy): invalidate stale key spend counter after budget reset or manual spend update (#30001)
* fix(proxy): reconcile stale key spend counter after budget reset * fix(proxy): invalidate stale key spend counter after budget reset or manual spend update * fix(proxy): remove read-time stale counter reconciliation to prevent budget bypass * revert: undo unrelated formatting changes in enterprise directory * test(proxy): add unit test for key spend update invalidating counter * test(proxy): fix mocked update_data and hash token expectations in unit test |
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daitran-tensormesh
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435809aac2
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Add Tensormesh serverless models to the model cost map (#30037)
* Add Tensormesh serverless models to the model cost map * Flag reasoning support on the Tensormesh models that expose thinking mode |
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Kent
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fe60822138
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feat(bedrock_mantle): path-aware Responses routing (/v1/responses vs /openai/v1/responses) (#29925)
* feat(bedrock_mantle): path-aware Responses routing (/v1/responses vs /openai/v1/responses) Bedrock Mantle serves the Responses API on two upstream paths: - gpt frontier models (gpt-5.5 / gpt-5.4) on /openai/v1/responses - every other Responses-capable model (e.g. gpt-oss) on the standard /v1/responses BedrockMantleResponsesAPIConfig gains a `use_openai_path` flag; the provider gate in utils.py picks the path per model: openai.gpt-* (non gpt-oss) -> /openai/v1/responses; any model declared mode=responses (price-map entry or user model_info) -> /v1/responses; everything else returns None and keeps the existing chat-completions emulation. Adds gpt-5.5 / gpt-5.4 price-map entries, registry wiring, and the routing-matrix tests. * feat(bedrock_mantle): data-driven frontier routing via use_openai_responses_path Addresses the Greptile review point that frontier detection should be a price-map field rather than a hardcoded name match. The gate now routes a model to /openai/v1/responses when its price-map entry declares use_openai_responses_path, so a frontier model whose name does not follow the openai.gpt- convention can be onboarded by JSON alone. The name-convention check is kept as a fallback that needs no price-map entry, which preserves zero-change routing for a future gpt-6 before its entry loads. gpt-5.5 / gpt-5.4 get the flag in both price maps. Adds tests for the data-driven flag path and for the flag presence on the gpt-5.x entries; both branches are mutation-tested. * test(model_prices): allow use_openai_responses_path in price-map schema The model_prices_and_context_window.json schema validator (test_aaamodel_prices_and_context_window_json_is_valid) enforces additionalProperties: false, so the new use_openai_responses_path flag on the gpt-5.5 / gpt-5.4 entries failed validation. Add it to the schema as a boolean, alongside the other supports_* / capability flags. |
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Avani Prajapati
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1bcf4a2691
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fix(presidio): unmask PII tokens in Anthropic native SSE streaming bytes (#30028)
* fix(presidio): unmask PII tokens in Anthropic native SSE streaming bytes When output_parse_pii=true on the Anthropic native path (anthropic/claude-*), response chunks arrive as raw bytes in SSE format. _stream_pii_unmasking was yielding those bytes unchanged, so <PERSON_1> tokens were never replaced with the original values before reaching the caller. Add _unmask_sse_bytes_chunk to parse each data: line, find content_block_delta / text_delta events, and apply _unmask_pii_text before re-encoding. Wire it into _stream_pii_unmasking so bytes chunks are unmasked when pii_tokens exist. * fix(presidio): handle CRLF line endings and non-ASCII PII in SSE unmask Strip trailing \r before the [DONE] guard so CRLF-terminated SSE chunks don't bypass it and silently swallow a JSONDecodeError. Add ensure_ascii=False to json.dumps so non-ASCII replacement values like accented names are preserved as UTF-8 on the wire rather than being \uXXXX-escaped. Add regression tests for both cases. |
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Daan
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bbbd3ca69d
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fix(proxy) #27734 allow clearing budget_duration and team_member fields by sending null on /key/update and /team/update (#27751)
* fix(proxy): allow clearing budget_duration and team_member fields by sending null on /key/update and /team/update Fixes #27734 Sending null for budget_duration, team_member_budget, team_member_budget_duration, team_member_rpm_limit, or team_member_tpm_limit via /key/update or /team/update returned 200 OK but silently ignored the null value. The fields remained unchanged in the database. Root causes: - /key/update: prepare_key_update_data() popped budget_duration from the update dict but never re-added it (or budget_reset_at) when the value was None. - /team/update: _set_budget_reset_at() only acted when budget_duration was non-None, leaving a stale budget_reset_at in the DB. - /team/update: team_member_* null values bypassed the budget table update entirely because should_create_budget() requires at least one non-None field. * test(proxy): cover no-budget-row path in clear_team_member_budget_fields |
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Jeremy Chapeau
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d30cfca382
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feat(sdk): add xAI OAuth provider (#29866)
* Add xAI OAuth provider * Update oauth.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * Fix xAI OAuth CI failures * Add xAI OAuth coverage tests * Move xAI OAuth coverage tests to core utils * Address xAI OAuth review comments * Prevent xAI OAuth api_base token exfiltration * Treat blank xAI OAuth api keys as absent * Wrap invalid xAI OAuth JSON responses * Use xAI OAuth behind explicit flag --------- Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> |
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Sameer Kankute
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55ee1e9825
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fix(tests): use valid vertex_location in context caching tests
Replace "test_location" (contains underscore) with "us-central1" so tests pass the regex validation added in get_vertex_base_url(). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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Tyson Cung
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5845dde4aa
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fix: propagate upstream status code in proxy API exception handler (#29402)
* fix: propagate upstream status code in proxy API exception handler When Google GenAI / Vertex returns a 404 for deprecated or missing models via streamGenerateContent, the exception was falling through to a generic handler that defaulted to 500. Now provider exceptions carrying a valid HTTP status_code correctly propagate it through to the ProxyException. * fix: apply black formatting to common_request_processing.py * fix: tighten status code range to 400-599 and deduplicate ProxyException raise |
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kejunleng
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31240b5d90
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Support per-model encrypted content affinity config (#29760)
Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> |
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victoruce
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a8c835ffc9
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fix(vertex_ai): use REP host for context caching on eu/us multi-region endpoints (#29573)
Context caching built the cachedContents URL as https://{location}-aiplatform.googleapis.com, which is an invalid host for the eu/us multi-region endpoints and returns 404. The inference path already resolves these to the REP host (https://aiplatform.{geo}.rep.googleapis.com) via get_vertex_base_url(); reuse that helper in _get_token_and_url_context_caching so caching uses the same host as inference. Adds tests covering the eu/us multi-region cachedContents URLs (v1 and v1beta1). Fixes #29571 |
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冯基魁
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8a8ac884df
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fix(proxy): handle Mistral multipart passthrough (#29927)
* fix(proxy): handle Mistral multipart passthrough * chore: satisfy passthrough ci formatting * test(proxy): cover Mistral passthrough in CI shard |
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Ceder Dens
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d4dc145bd9
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fix(ui): show all session logs in the drawer, not just the first 50 (#29795)
* fix(ui): show newest session logs first * test(ui): keep session log pagination coverage * fix(ui): show all session logs in the drawer, not just the first page The session detail drawer fetched session logs via sessionSpendLogsCall without page/page_size, so it only ever received the backend default of one page (50 rows). Sessions with more than 50 calls had the rest unreachable in the UI (#29153). sessionSpendLogsCall now takes page/page_size, and the drawer fetches the first page, reads total_pages, then fetches the remaining pages and accumulates them before the existing client-side sort. This keeps the single continuous list (and the selected-log lookup and keyboard navigation, which all assume the full session) correct. Fetching is bounded by a page cap, and the sidebar shows a "showing most recent N" note if a session exceeds it. The rows are lightweight metadata (the endpoint excludes messages/response), so the full set is small; request/response bodies are still loaded per log on demand. * fix(ui): default session drawer to most recent log, newest first Open a session with its most recent log selected, and order the sidebar newest-first to match the all-sessions logs overview. MCP calls stay grouped last. The latest log by time is computed explicitly, since the MCP grouping means it is not always the first row. * Apply fetching pages in batches suggestion from @greptile-apps[bot] Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(ui): derive session total from accumulated rows when backend omits it Compute the session total after all pages are fetched, falling back to the accumulated row count rather than the first page's. Guards the truncation note against a backend response that omits total but spans multiple pages. --------- Co-authored-by: Yufeng He <40085740+he-yufeng@users.noreply.github.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> |
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Hari
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d737ace293
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fix(mcp): report scoped server name during initialize (#29865)
* fix mcp scoped server name * Update litellm/proxy/_experimental/mcp_server/mcp_context.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * test(mcp): cover scoped server name in the SSE initialize handler --------- Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> |
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michelligabriele
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2fe9feda71
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fix(caching): restore stored prompt_tokens on embedding cache hits instead of recomputing (#30046) | ||
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Mateo Wang
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e15b37a18e
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Add Claude Fable 5 across Anthropic, Bedrock, Vertex AI, and Azure AI (#30064)
* Add Claude Fable 5 across Anthropic, Bedrock, Vertex AI, and Azure AI
Adds cost map entries for claude-fable-5 ($10/$50 per MTok, 1M context,
128K output, adaptive thinking only) on the Anthropic API, Bedrock
converse (base, global, and us/eu geo inference profiles at the 10%
regional premium), Vertex AI, and Azure AI (Microsoft Foundry, which
serves Fable 5 with the full 1M context window unlike Opus 4.8).
Registers anthropic.claude-fable-5 in BEDROCK_CONVERSE_MODELS, lists the
model in the setup wizard, and extends the reasoning effort e2e grid.
The Bedrock, Vertex, and Azure grid cells carry fail_reason markers
until the CI accounts are provisioned: Bedrock needs the provider data
sharing opt-in Fable 5 requires, and the Foundry resource needs a
claude-fable-5 deployment.
The first-party entry carries provider_specific_entry {us: 1.1} for the
inference_geo premium and deliberately no fast multiplier since Fable 5
has no fast mode.
https://claude.ai/code/session_01MZarYYT3aS7DxaNjoax6Gm
* Drop removed sampling params for Claude 4.7+ when drop_params is set
Fable 5, Opus 4.7, and Opus 4.8 removed sampling params: the API rejects
top_p, top_k, and any temperature other than 1 with a 400. LiteLLM was
forwarding them even with drop_params enabled because the Anthropic and
Bedrock converse transformations passed temperature/top_p through
unconditionally.
Mirror the GPT-5/o-series handling: temperature=1 still passes through,
other values and any top_p are dropped when drop_params is set, and
without drop_params a clean client-side UnsupportedParamsError tells the
caller how to opt in, instead of surfacing the raw provider error.
https://claude.ai/code/session_01MZarYYT3aS7DxaNjoax6Gm
* Drive sampling param gating from the cost map and cover top_k
Greptile review follow-ups on the sampling param fix: the restriction for
Fable 5 / Opus 4.7 / 4.8 is now declared as supports_sampling_params: false
on every affected cost map entry (perplexity excluded; that route is
OpenAI-compatible and maps sampling params upstream) and read back through
a tri-state map lookup, keeping the name check only as a fallback for
provider-routed ids whose hosted map entries predate the flag, the same
layering supports_adaptive_thinking uses. top_k bypasses map_openai_params
as a provider-specific kwarg, so it is gated at the shared
AnthropicConfig.transform_request boundary (direct, Bedrock invoke, Vertex,
Azure) and in the Bedrock converse _handle_top_k_value path, with
drop_params threaded through the converse transform helpers.
Also updates the reasoning effort grid cell count assertion for the four
Fable 5 rows added on this branch (29 x 11 cells).
https://claude.ai/code/session_01MZarYYT3aS7DxaNjoax6Gm
* Declare supports_sampling_params in the cost map schema
The model map validation schema uses additionalProperties: false, so the
new flag must be declared for the 28 entries that carry it; this was the
one failing job (misc / Run tests) on the previous commit.
https://claude.ai/code/session_01MZarYYT3aS7DxaNjoax6Gm
* fix(bedrock): gate top_k=0 on converse to match Anthropic boundary
Truthiness check let top_k=0 silently disappear on models that removed
sampling params, while AnthropicConfig.transform_request treats 0 as
present and raises UnsupportedParamsError (or drops when drop_params is
set). Switch to 'is not None' so converse, direct Anthropic, invoke,
Vertex, and Azure all behave the same for top_k=0.
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
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||
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Sameer Kankute
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2cd7e87485
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fix(proxy): authorize batch files using upload target_model_names (LIT-3593) (#30009)
* fix(proxy): authorize batch files using upload target_model_names (LIT-3593)
After replace_model_in_jsonl, body.model is a stripped provider id. Reverse-mapping it via resolve_model_name_from_model_id is first-match on model_list and caused false 403s when multiple deployments share the same stripped name. Use target_model_names from the unified file id instead.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593)
Restores the reverse-lookup for the JSONL body.model fallback path so that
legacy/pre-target_model_names managed files still map stripped provider IDs
back to proxy aliases before auth. Also cleans up redundant `or None`.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Revert "fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593)"
This reverts commit
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ryan-crabbe-berri
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9e0d92c129
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chore(ui): remove dead dashboard files and unused dependencies (#30047)
* chore(ui): remove dead dashboard files and unused dependencies knip flagged seven orphaned source/config files with no importers and five declared dependencies that nothing in the tree uses. Removing them shrinks the dashboard bundle's source surface and keeps the manifest honest; vite stays installed transitively via vitest, so test tooling is unaffected. * fix(ci): restore serverRootPath.config.ts referenced by SERVER_ROOT_PATH workflow The dead-code sweep removed e2e_tests/serverRootPath.config.ts, but its spec (tests/login/serverRootPathRedirect.spec.ts) and the test_server_root_path.yml workflow step still depend on it, so the redirect e2e job failed to load a config that no longer existed. |
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ryan-crabbe-berri
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248176112e
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feat(ui): add admin flag to disable in-product UI nudges for everyone (#29796)
* feat(ui): add admin flag to disable in-product UI nudges for everyone Admins can now suppress the survey and Claude Code feedback popups for all users via a single disable_ui_nudges UI setting, instead of relying on each user dismissing them individually. * fix(ui): suppress nudges while ui settings are loading Gate nudgesDisabled on the ui-settings loading state so an admin with disable_ui_nudges on doesn't see the survey prompt flash, and the getInProductNudgesCall fetch doesn't fire, on a cold page load before the flag resolves. Falls back to showing nudges if the fetch errors. * test(ui): wrap CreateKeyPage test in QueryClientProvider page.tsx now calls useUISettings (react-query), which needs a QueryClient that layout.tsx supplies in production but the test did not. Add the provider and mock getUiSettings so the query resolves. |
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yuneng-jiang
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50522157dc
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docs(security): require a reproduction video for vulnerability reports (#30048) (#30063)
With AI models capable of automated vulnerability discovery now publicly available, we expect a large increase in report volume, much of it unverified. Requiring a video of the exploit running against a live instance raises the bar for submissions and keeps triage focused on reproducible issues. Reports without a video will be closed and reopened if one is added later. Co-authored-by: stuxf <70670632+stuxf@users.noreply.github.com> |
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tin-berri
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5b7063d194
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fix(mcp): allow team access-group grants in OAuth authorize/token access check (#30041)
* fix(mcp): honor team access-group grants in OAuth authorize/token access check * test(mcp): mock build_effective_auth_contexts in non-admin authorize tests for isolation |
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tin-berri
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d8fe091938
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fix(ui/mcp): reset OAuth state on create-server modal close so a prior server's token no longer leaks into the next add-server session (#30000)
* fix(ui/mcp): reset OAuth hook state on modal close so a prior server's token no longer leaks into the next add-server session * fix(ui/mcp): clear in-flight OAuth guard on reset and reset form/tools on modal close so nothing leaks on a parent-driven dismiss |
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ryan-crabbe-berri
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38edf241a4
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chore(ui): remove dead App Router route stubs under (dashboard) (#30045)
models-and-endpoints, organizations, and virtual-keys each had a page.tsx route under (dashboard)/ that is not in MIGRATED_PAGES, so the sidebar and deep links never resolve to it and the route is unreachable. Each was a thin wrapper that handed the shared view empty or no-op props (empty modelData with a no-op setModelData, hardcoded empty organizations, no-op setUserRole/setUserEmail), so reaching one would render a degraded page in any case. The real wrapper belongs in the PR that flips each page into MIGRATED_PAGES, written with eyes on it and a test This continues the dead-scaffolding cleanup from #28891. The shared components these wrappers rendered (ModelsAndEndpointsView, OrganizationFilters) stay, since the legacy ?page= switch in app/page.tsx and src/components still import them |
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michelligabriele
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fe60f9d0f1
|
fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through (#24232)
* fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through * test: mock post_call_response_headers_hook in audio speech route tests |
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ryan-crabbe-berri
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6ae8a509f0
|
test(ui): data-driven App Router migration E2E smoke (default + server-root-path) (#29974)
* test(ui): add a data-driven App Router migration E2E smoke
Add a growing Playwright smoke for migrated pages: for each segment it deep-links
to the path route, asserts the URL and that the dashboard shell rendered, then
clicks off to a legacy page and asserts navigation still works. Driven by
e2e_tests/fixtures/migratedPages.ts, so adding a page is one line.
Runs in two situations against the same proxy: the default mount (npm run
e2e:migration) and a non-root SERVER_ROOT_PATH mount (npm run e2e:migration:root).
globalSetup now logs in at `${SERVER_ROOT_PATH}/ui/login` so the admin storage
state is valid under a prefix. Seeded with api-reference; append the rest as their
migrations merge.
* test(ui): support headed slow-motion + watch pauses in the migration smoke
Honor SLOWMO in the server-root-path config (the default config already did),
and add an env-gated E2E_WATCH_MS pause so a headed run lingers on each state.
Both are no-ops by default, so CI behavior is unchanged.
* test(ui): make the migration smoke a sidebar-click user journey
Rework the smoke from deep-linking to a real navigation journey: start at the
landing page, click the migrated page in the sidebar (expanding submenus for
nested items), assert the path route rendered, reload it (the check a wrong
server_root_path breaks), bounce to a legacy page and back, and — once two pages
are migrated — navigate directly between two migrated pages. Verifies via URL +
shell render, driven by the same fixture list.
* test(ui): address review on the migration smoke
Escape ROOT and segment before interpolating them into RegExp URL matchers so a
future segment containing regex metacharacters can't silently widen the match.
Make the server-root-path config fail fast when SERVER_ROOT_PATH is unset instead
of silently re-running the default mount and passing without exercising the prefix.
* test(ui): drop unused watch helper and fix stale smoke README
* test(ui): run the migration smoke under a server root path in CI
* test(ui): harden + instrument the server-root-path proxy reboot in CI
* test(ui): run the server-root-path migration smoke as its own CI job
Replace the in-place proxy reboot in e2e_ui_testing with a dedicated
e2e_ui_testing_server_root_path job that boots the proxy once with
SERVER_ROOT_PATH=/litellm, matching how every other proxy variant in the
config gets its own job rather than killing and relaunching the live proxy.
The reboot was failing deterministically: after pkill -9 and relaunch the
prefixed proxy never came back up on :4000 (connection refused), so the smoke
never ran. The readiness step that was supposed to surface the cause could
never reach its boot-log tail because CircleCI runs steps under bash -eo
pipefail and the preceding `curl -sv ... | tail` aborted the step with curl's
exit 7. Booting the proxy as the job's own background step lets any boot crash
land in that step's log instead of being swallowed.
The default e2e_ui_testing job is unchanged aside from dropping the reboot,
prefixed-readiness, and prefixed-smoke steps; the migration smoke still runs at
the root mount there via the default Playwright config.
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milan-berri
|
d84499e0f2
|
fix(team): reserve team budget raises for proxy admins on /team/update (#30030)
The caller's PERSONAL max_budget was the wrong yardstick for /team/update: a team's spend ceiling has nothing to do with the admin's own key budget. That comparison was an unintended side effect of reusing _check_user_team_limits() (which exists for the /team/new path) and broke the UI, which re-sends the unchanged budget on every save. New behavior on /team/update for standalone teams: - A team admin (already authorized via _verify_team_access) may freely KEEP or LOWER the team budget, and change models/tpm/rpm, without being gated by their personal limits. - GROWING a team's spend ceiling is a budget-authority action reserved for proxy admins -> 403 for team admins. "Growing" covers both raising max_budget above the team's current finite value and removing the cap entirely (max_budget=null, detected via model_fields_set so an explicit null is distinguished from an omitted field). For a team that currently has no cap, setting a finite value is a restriction and is allowed. - Org-scoped teams remain governed by _check_org_team_limits() (capped by the org budget). Also reverts the #29525 existing_team_max_budget workaround in _check_user_team_limits() back to the create-only form; /team/new still enforces the creator's personal caps. docs(access_control): resolve the contradiction in the team-admin section — team admins can keep/lower the budget and manage rate limits/models, but cannot raise the team budget (proxy-admin only). tests: unit + behavior coverage for raise-blocked, cap-removal-blocked (team admin), raise/removal allowed (proxy admin), uncapped-team restriction allowed, keep/lower/resend allowed, and unchanged create-path guards. Co-authored-by: Cursor <cursoragent@cursor.com> |
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|
tin-berri
|
51ba6e39cd
|
fix(mcp): load MCP tool configuration tools via the OBO/passthrough-aware GET path (#29960)
* fix(ui): load MCP tool configuration tools via the OBO/passthrough-aware GET path * fix(mcp): admin-only include_disabled_tools so the settings UI shows toggled-off tools * fix(ui): repopulate MCP server edit form when server data loads after mount (OAuth return) * fix(ui): persist MCP OAuth token on save and return to the Settings tab after authorize * fix(ui): scope MCP OAuth callback to the initiating form so create and edit flows don't cross-talk * fix(ui): derive OAuth-return Settings tab via lazy state init instead of setState-in-effect * Fix MCP OAuth edit token handling --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> |
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|
Sameer Kankute
|
424db6a980
|
feat(azure_ai): add MAI-Image-2.5 image generation support (#29688)
* feat(azure_ai): add MAI-Image-2.5 image generation support Route azure_ai MAI models to /mai/v1/images/generations and map OpenAI size to width/height for the serverless API. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(azure_ai): address MAI image generation review feedback Validate unsupported size values, default width/height independently, add MAI-Image-2.5 pricing, and expand test coverage. @greptileai Co-authored-by: Cursor <cursoragent@cursor.com> * feat(azure_ai): add MAI image edit and expand model cost map Add MAI image edit support with usage normalization for Azure response format, and register MAI-Image-2.5-Flash and MAI-Image-2e pricing in the model map. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(azure_ai): validate MAI edit size by consuming map iterator Greptile: lazy map() never evaluated int() so values like 1024xabc passed through. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(azure_ai): normalize MAI usage in generation response handler Apply normalize_mai_image_usage before building ImageResponse so token-based cost calculation works when Azure returns num_output_tokens fields. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(azure_ai): narrow MAI edit size param type for mypy Co-authored-by: Cursor <cursoragent@cursor.com> * Fix Azure MAI image response handling * Fix MAI image generation base model routing * fix(azure_ai): preserve zero num_output_tokens in MAI usage normalization * fix(azure_ai): wrap MAI generation response JSON parsing in error handling * fix(azure_ai): build MAI image edit URL correctly for /mai/ root bases * fix(azure_ai): build MAI image generation URL correctly for /mai/ root bases --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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tin-berri
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92817cb65b
|
changing expires_in default to use actual slack return details (#29951) | ||
|
yuneng-jiang
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1bbaf1c39d
|
fix(guardrails): read CrowdStrike AIDR identity from both metadata bags (#29991)
Capture user_id and extra_info from metadata or litellm_metadata. The single-bag read dropped identity whenever a request carried a present litellm_metadata field (null or a user-supplied dict), since /chat/completions routes the authenticated identity into metadata while the guardrail read litellm_metadata first |
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milan-berri
|
411bd3da5b
|
feat(vantage): include organization metadata in FOCUS Tags export (#28184)
* feat(vantage): include organization metadata in FOCUS Tags export Join LiteLLM_OrganizationTable when building Vantage/FOCUS export rows so organization_id and organization_alias appear in Tags for org-level filtering. Co-authored-by: Cursor <cursoragent@cursor.com> * test(focus): include api_requests in organization Tags tests FocusTransformer now requires api_requests after staging merge; add the column to test fixtures so integrations CI can run the Tags assertions. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> |
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|
yuneng-jiang
|
c24a3603d9
|
fix(team-management): delete a team's BYOK models when the team is deleted (#29977)
A team's BYOK models (rows in LiteLLM_ProxyModelTable with model_info.team_id set) were left orphaned when the team was deleted; they lingered in the database and kept showing on the Models + Endpoints page. delete_team now removes them via a new delete_team_models helper that deletes the rows in one transaction and syncs the in-memory router only after that transaction commits, run before the team rows are deleted so a mid-flight failure never leaves the team gone with its models orphaned |
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|
yuneng-jiang
|
bac2590b39
|
build(deps): bump pyjwt to 2.13.0 and ws override to 8.20.1 (#29982)
Raise the PyJWT floor in pyproject (>=2.13.0,<3.0) and re-resolve uv.lock so the proxy installs 2.13.0 instead of 2.12.0. Bump the ws transitive-version override in the dashboard from 8.19.0 to 8.20.1 and regenerate package-lock; jsdom and openai both dedupe onto the single 8.20.1 copy. Both are routine dependency maintenance bumps to keep pinned versions current. |
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|
milan-berri
|
f59e4ebc9e
|
fix(ui): show team projects to internal users (#28855)
Allow internal users to fetch their backend-scoped project list so the key creation project dropdown can populate for selected teams. |
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|
Sameer Kankute
|
dfd6cbc514
|
fix(vertex): propagate Vertex AI metadata in streaming success callbacks (#29899)
* fix(vertex): propagate Vertex AI metadata in streaming success callbacks Streaming calls assembled via stream_chunk_builder were missing vertex_ai_grounding_metadata and vertex_ai_url_context_metadata in standard_logging_object.response. Merge metadata from chunks into the assembled response and mirror non-streaming hidden_params on Gemini chunks. Co-authored-by: Cursor <cursoragent@cursor.com> * refactor(vertex): move streaming metadata merge into provider config hook Address review feedback by delegating assembled-stream metadata propagation to VertexGeminiConfig via BaseConfig.apply_assembled_streaming_response_metadata, and only write chunk hidden_params when metadata is non-empty. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(redaction): scrub Vertex provider metadata when message logging is off Clear vertex_ai_grounding_metadata and related fields from standard logging responses and assembled streaming ModelResponse objects so turn_off_message_logging cannot leak prompt-derived web search queries. Co-authored-by: Cursor <cursoragent@cursor.com> * Use assembled model for streaming metadata hook * Fix Vertex metadata redaction bypass in logging callbacks. Scrub Vertex provider fields from litellm_params.metadata.hidden_params during perform_redaction so streaming success_handler merges do not leak prompt-derived metadata when message logging is disabled. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix Vertex streaming metadata from hidden params * fix(vertex): mirror vertex_ai_safety_results on assembled streaming responses The non-streaming transform_response stores safety data under vertex_ai_safety_results, but the streaming path only wrote vertex_ai_safety_ratings. Assembled streaming responses therefore never carried vertex_ai_safety_results, so any consumer reading that field saw a silent difference between streaming and non-streaming calls. Set vertex_ai_safety_results alongside vertex_ai_safety_ratings in the shared stream metadata setter and add it to the assembled metadata field list so it propagates through stream_chunk_builder. * fix(streaming): log provider streaming metadata hook failures instead of swallowing them * refactor(vertex): share single Vertex metadata field tuple across redaction and streaming * refactor(vertex): move Vertex metadata redaction helpers into llms/vertex_ai --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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milan-berri
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1c881eee5d
|
fix(fireworks): enable tool calling for glm-5p1 in model cost map (#29697)
glm-5p1 supports native tools on Fireworks; explicit false flags caused drop_params to strip tools and tool_choice before the provider request. Co-authored-by: Cursor <cursoragent@cursor.com> |
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|
milan-berri
|
9ccda11919
|
fix(team_endpoints): don't block /team/update on unchanged team budget (#29525)
On /team/update for a standalone (no-org) team, _check_user_team_limits() compared the request max_budget against the caller's personal max_budget whenever max_budget was present in the payload. A team admin whose personal budget is lower than the team's budget could not edit any field (tpm_limit, team name, etc.) because the UI re-sends the unchanged max_budget on every update, tripping the personal-budget check. Pass the team's current max_budget into _check_user_team_limits() and skip the personal-budget comparison when the incoming value is unchanged or lower than the team's current budget. Only genuine increases above the team's current budget are still validated against the caller's personal limit, so no over-relaxation. Proxy admins and the org-scoped path are unaffected. Adds two regression tests for the standalone update path (unchanged budget + tpm_limit change, and lowering the budget), both for a caller whose personal budget is below the team budget. Co-authored-by: Cursor <cursoragent@cursor.com> |
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|
milan-berri
|
a7ecf6b5b1
|
feat(jwt-auth): opt-in fallback to DB team on unresolved JWT claim (#28913)
* fix(jwt-auth): defer to single-team DB fallback on claim mismatch Extends the single-team DB fallback introduced in #26418 to two more cases where it previously could not run: * `find_and_validate_specific_team_id`: when `team_id_jwt_field` is configured and a claim value is present in the token but the team does not exist in the LiteLLM DB (HTTPException 404 from `get_team_object`), return `(None, None)` instead of raising — the auth_builder fallback then attributes the request to the user's single DB team. Only HTTPException is caught; other errors (e.g. "No DB Connected") still propagate. * `find_team_with_model_access`: when none of the `team_ids_jwt_field` groups resolve to a real LiteLLM team, return `(None, None)` instead of raising 403 so the same fallback path runs. If at least one group DID resolve to a team but none granted the requested model, the original 403 is preserved (legitimate access denial — not a claim mismatch). Tracked via the new `any_claim_team_resolved` flag. The strict `is_required_team_id` raise and `enforce_team_based_model_access` raise remain unchanged. Unit tests cover both new soft-fail paths and guard each preserved path (strict required, enforce_team_based, the preserved 403, and the non-HTTPException propagation). Co-authored-by: Cursor <cursoragent@cursor.com> * fix(jwt-auth): narrow HTTPException catch to 404 (greptile review) Address Greptile review comments on #28913: * `find_and_validate_specific_team_id`: re-raise HTTPException when `status_code != 404`, pinning the catch to the "team doesn't exist in db" path documented for `get_team_object`. A future change that introduces a different status code (e.g. 403 for a blocked team) will now propagate instead of silently falling through to the single-team DB fallback. * Add `test_find_and_validate_specific_team_id_non_404_http_exception_propagates` parametrised over 400 / 403 / 500 to lock in the contract. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(jwt-auth): gate claim-mismatch fallback behind opt-in flag The unresolved-team-claim fallback added in the previous commit weakened the strict claim-based authorization contract by default — an authenticated user whose JWT carries a stale or invalid team claim could still consume their single DB team's models/quota via the fallback. Gate both soft-fail paths in `find_and_validate_specific_team_id` and `find_team_with_model_access` behind a new opt-in flag `team_claim_fallback` on `LiteLLM_JWTAuth` (default False). Default-off preserves the pre-existing strict behavior. Operators who intentionally treat IdP team claims as advisory (e.g. machine tokens whose group claims live in a separate namespace from LiteLLM team_ids) opt in via config. Adds two regression tests guarding the default-off behavior. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> |
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yuneng-jiang
|
69a7bdb247
|
fix(model-management): allow deleting a BYOK model after its team is deleted (#29875)
* fix(model-management): allow deleting a BYOK model after its team is deleted A team BYOK model (model_info.team_id set) became undeletable once its team was deleted: POST /model/delete ran can_user_make_model_call, which looked the team up and raised 400 "Team id=... does not exist in db" before the delete could run, so the model lingered on the Models + Endpoints page with no way to remove it. Drop the team-existence prerequisite from the delete path. When the model's team still exists the normal auth check runs unchanged; when it is gone a proxy admin may delete the orphan and any other caller gets a 403. The check is fail-closed, so a missing or errored team lookup can only block the delete or require an admin, never grant a non-admin access. Add/update/health keep their team-existence validation. * refactor(model-management): drop redundant team lookup on model delete Move the orphaned-team handling into can_user_make_model_call behind an allow_missing_team flag instead of pre-checking team existence in delete_model. The endpoint no longer issues its own litellm_teamtable lookup, so deleting a model whose team still exists hits the team table once instead of twice. The auth behavior is unchanged: a proxy admin can delete a model whose team was deleted, any other caller gets a 403, and add/update/health keep the strict "team must exist" validation. |
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Sameer Kankute
|
dfb68a23de
|
feat(galileo): add health check support for UI callback test (#29908)
* feat(galileo): add health check support for UI callback test Register galileo in /health/services so the proxy UI callback connection test works. Co-authored-by: Cursor <cursoragent@cursor.com> * feat(galileo): verify API key via /current_user health check Call Galileo's current_user endpoint so the UI callback test validates credentials against the provider. Co-authored-by: Cursor <cursoragent@cursor.com> * chore(ui): regenerate schema.d.ts for galileo health service Co-authored-by: Cursor <cursoragent@cursor.com> * fix(galileo): return IntegrationHealthCheckStatus from async_health_check Fixes mypy assignment error in health_services_endpoint where response was narrowed to IntegrationHealthCheckStatus from earlier branches. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix Galileo logging to match Langfuse across all endpoint types. Stop skipping ingest when output is empty and log embeddings with a placeholder so embedding, speech, and other non-text responses are recorded like Langfuse. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(galileo): remove unreachable health-check guard and None output sentinel The use_v2_api flag is derived from bool(api_key), so the inner GALILEO_API_KEY check inside the v2 branch could never run; collapse the credential validation into the username/password path with a combined message. _serialize_galileo_output now returns an empty string for None, so _get_galileo_input_output_content always yields a str and the post-call None coalescing guard is no longer needed. * test(galileo): cover async_health_check failure paths and empty model response Add regression tests for the Galileo health check unhealthy branches (missing project id, missing base url, missing credentials, auth failure, and request exception) and for logging a model response with no choices, which now queues an empty output instead of being skipped. --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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|
Sameer Kankute
|
32c88ca74f
|
Litellm oss staging 080626 (#29932)
* feat(bedrock_mantle): add SigV4/IAM auth to Responses API route (fixes #29665) (#29788) * feat(responses): add default no-op sign_request to BaseResponsesAPIConfig * feat(responses): call sign_request after body is final, send signed bytes when signed * feat(bedrock_mantle): add SigV4 sign_request via composed BaseAWSLLM (bearer path) * test(bedrock_mantle): cover SigV4 access-key, AssumeRole, body bytes, region/auth consistency * feat(bedrock_mantle): defer auth to sign_request; validate_environment no longer requires bearer * docs(bedrock_mantle): document SigV4 + Bearer auth on Responses route * test(responses): cover fake-stream signing order and mantle bearer arg/env precedence * fix(bedrock_mantle): wrap all botocore credential errors with both-paths guidance * fix(bedrock_mantle): catch specific credential errors, not all BotoCoreError, so STS transport failures are not masked * fix(bedrock_mantle): sign the compact Responses route too, not just create * fix(github-copilot): route per-model on /v1/responses based on model info (#29747) * feat(focus): add GCS destination for FOCUS export (#29751) * test: add failing tests for FocusGCSDestination * feat: add FocusGCSDestination reusing GCSBucketBase auth * feat: register FocusGCSDestination in factory; export from __init__ * fix(focus): preserve GCS_PATH_SERVICE_ACCOUNT when service_account_json not in config * style: apply Black formatting to gcs_destination and tests * style: apply Black formatting to factory.py * fix(bedrock): omit empty additionalModelRequestFields and system from Converse API payload (#29565) Amazon Nova Pro (and other strict Bedrock models) return 400 Malformed input request when additionalModelRequestFields: {} or system: [] are present in the payload. Both fields are optional in CommonRequestObject (total=False) and must be omitted rather than sent as empty structures. Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(proxy): recognize *.cognitiveservices.azure.com as OpenAI-compatible in pass-through cost tracking (#29730) * fix(proxy): recognize *.cognitiveservices.azure.com as OpenAI-compatible Azure OpenAI resources created via the newer "Azure AI Foundry" / Cognitive Services pathway live on `*.cognitiveservices.azure.com` subdomains, not the older `openai.azure.com`. Both are valid Azure OpenAI surfaces in production today. The OpenAI pass-through cost-tracking handler hard-codes only the older hostname in five places (four `is_openai_*_route` methods on OpenAIPassthroughLoggingHandler, plus is_openai_route on PassThroughEndpointLogging). As a result, calls from newer Azure deployments are silently classified as "not an OpenAI route", the dispatch into the cost-tracking handler is skipped, and tokens/cost never get extracted into LiteLLM_SpendLogs — the row gets written with prompt_tokens=0, completion_tokens=0, spend=0, model='unknown'. Reproduced 2026-06-04 against a real Azure OpenAI deployment on `*.cognitiveservices.azure.com` proxied through LiteLLM v1.88.0. Fix: factor the hostname check into a single helper `_is_openai_compatible_host` listing all three recognized surfaces (api.openai.com, openai.azure.com, cognitiveservices.azure.com), and have all five call sites delegate to it. Purely additive — never weakens recognition for the originally-supported hostnames. Adds a test `test_is_openai_route_recognizes_cognitiveservices_azure_com` that exercises all four `is_openai_*_route` static methods against `*.cognitiveservices.azure.com` URLs (positive cases per route + a small cross-route negative to confirm route-specific path matching still works on the new hostname). Out of scope for this PR (separate followup): - `openai_passthrough_handler` calls chat/completions `transform_response` on Responses API payloads (`output:` not `choices:`), which throws inside the dispatch and drops the SpendLogs row entirely. Recognized + tracked separately. * ci: trigger fresh run Empty commit to re-run checks. The previous auth-and-jwt failure was a transient HuggingFace Hub 429 rate-limit hitting tokenizer downloads in tests/proxy_unit_tests/test_custom_tokenizer_bug.py — unrelated to this PR's scope (hostname recognition in pass-through cost tracking). No code change. --------- Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> * fix(responses): preserve forced-function tool_choice name in Responses to Chat transform (#29812) The Responses API forces a specific function with a top-level name ({"type": "function", "name": "X"}), but _transform_tool_choice only handled the nested Chat Completions shape and fell through to returning "required" for the flat form, silently dropping the function name and degrading a forced function call to force-any-tool. Map the flat Responses shape to the nested Chat shape, keeping the "required" fallback when no name is present. * Preserve x-anthropic-billing-header system blocks for first-party Anthropic (#29584) * Preserve x-anthropic-billing-header system blocks for first-party Anthropic PR #20951 strips system blocks beginning with "x-anthropic-billing-header:" for every Anthropic target. That block is how the first-party Anthropic API recognizes Claude Code subscription (OAuth) traffic, so dropping it makes requests that carry only that block, such as the auto-mode tool-safety classifier, fail with a misleading 429 rate_limit_error; normal turns still work because they also carry the "You are Claude Code" identity block. Gate the strip behind should_strip_billing_metadata(), defaulting to False on the first-party AnthropicConfig and AnthropicMessagesConfig so the block is kept, and overridden to True on the providers that reach these transforms and reject the block (Bedrock platform, Vertex, Azure for the chat path; Minimax, Azure, DeepSeek for the messages path). Behavior for those providers is unchanged. * Strip billing header on Bedrock invoke and Vertex messages pass-through Two more subclasses reach the gated strip but inherited keep-by-default. AmazonAnthropicClaudeConfig (Bedrock invoke) calls AnthropicConfig.transform_request, which calls translate_system_message, and VertexAIPartnerModelsAnthropicMessagesConfig (Vertex messages pass-through) calls super().transform_anthropic_messages_request. Override should_strip_billing_metadata() to True on both. Add a parametrized test asserting the flag for every first-party base (False) and provider subclass (True), covering all overrides, plus a translate_system_message regression test for the Bedrock invoke path. * fix(cache): log hashed cache keys (#29890) * fix(ui): save routing groups as list (#29889) * Revert "fix(ui): save routing groups as list (#29889)" (#29928) This reverts commit |