A guardrail entry's ``callbacks`` list (v1: ``{name: {callbacks:[...]}}``,
v2: ``{guardrail_name, litellm_params: {callbacks: [...], guardrail:
"module.path"}}``) is iterated during config load and threaded through
``get_instance_fn``. A PROXY_ADMIN persisting
``litellm_settings.guardrails[*].callbacks: ["s3://..."]`` or
``litellm_settings.guardrails[*].litellm_params.guardrail: "s3://..."``
via ``/config/update`` was not covered by the previous scrub matrix.
Walk both v1 and v2 entry shapes and null out remote-URL callbacks /
module-path values before the merge. Adds four regression tests.
A pass-through endpoint's ``target`` field is passed through
``create_pass_through_route`` into ``get_instance_fn`` during config
load. A PROXY_ADMIN persisting ``target: "s3://attacker/m.i"`` via
the DB-overlay ``pass_through_endpoints`` write path was not covered
by the previous scrub matrix, so the remote module load would still
reach the loader because the YAML-load chain has ``config_file_path``
set.
Walk each entry in ``general_settings.pass_through_endpoints`` and
null out any ``target`` that starts with ``s3://`` or ``gcs://``. The
entry itself is preserved so the path-registration helper can choose
how to handle a missing target (the existing code skips the route
when ``target is None``).
Adds two regression tests.
When ``ProxyConfig`` merges DB-persisted ``litellm_settings`` /
``general_settings`` on top of the YAML config, the merged dict is
later iterated by ``load_config`` which threads ``config_file_path``
(the YAML path) into ``get_instance_fn``. The runtime gate that
refuses ``s3://`` / ``gcs://`` modules when ``config_file_path`` is
``None`` therefore can't distinguish a YAML-sourced value from a
DB-sourced one: both look the same to ``get_instance_fn``.
Strip ``s3://`` / ``gcs://`` entries from the DB-overlay value for
every field whose contents reach ``get_instance_fn`` during config
load:
- litellm_settings: ``callbacks``, ``success_callback``,
``failure_callback``, ``audit_log_callbacks``, ``post_call_rules``,
``custom_provider_map[].custom_handler``
- general_settings: ``custom_auth``, ``custom_key_generate``,
``custom_key_update``, ``custom_sso``,
``custom_ui_sso_sign_in_handler``,
``litellm_jwtauth.custom_validate``
The YAML config-file load path is unchanged — the documented operator
flow (``callbacks: ["s3://bucket/module.instance"]`` in ``config.yaml``)
still works. Only DB-overlay writes (e.g. via ``/config/update``) are
stripped.
Adds 16 regression tests covering the scrub matrix.
LiteLLM_JWTAuth.__init__ calls get_instance_fn(custom_validate) without
config_file_path, so an operator who configures custom_validate:
s3://bucket/module.fn in their YAML JWT auth section would hit the
runtime gate on startup and break their deployment.
Accept config_file_path as a non-field kwarg (popped before the
invalid-keys check), thread it into get_instance_fn, and pass it from
the startup-load callsite via the existing user_config_file_path
module-level path. Admin-API JWT config writes leave the kwarg at None
and still hit the gate.
The previous commit's gate broke two legitimate startup paths for
operators using s3://gcs:// remote module loading from their config.yaml:
- general_settings.pass_through_endpoints[].custom_handler
- mcp_tools[].handler
Both call sites called get_instance_fn without a config_file_path, so
the new gate rejected them at startup. Thread config_file_path through:
- create_pass_through_route accepts config_file_path and forwards it to
get_instance_fn. add_exact_path_route, add_subpath_route,
_register_pass_through_endpoint, and initialize_pass_through_endpoints
accept and propagate it.
- The YAML-load call site in proxy_server.load_config now passes
config_file_path; the DB-overlay call site in _update_general_settings
leaves it as the default None so the gate still fires on admin-written
s3:// values.
- MCPToolRegistry.load_tools_from_config accepts config_file_path and
threads it into get_instance_fn; _init_non_llm_configs forwards it
from load_config.
Adds two regression tests verifying that the YAML-source callers thread
the path through to get_instance_fn.
The runtime gate on s3://gcs:// loading in get_instance_fn previously
allowed an opt-in via LITELLM_ALLOW_REMOTE_INSTANCE_FN_FROM_API. That
env var is admin-flippable at runtime (DB-overlay environment_variables
flow into os.environ), which defeats the gate's purpose, and it isn't
needed for the documented operator flow: config.yaml callbacks always
pass config_file_path through to the loader.
Remove the helper, raise unconditionally when config_file_path is None,
and drop the corresponding test for the opt-in branch.
The pre-existing s3:// / gcs:// custom-logger tests called
``get_instance_fn`` without ``config_file_path``, which means the
new runtime gate (refuse remote URLs unless invoked from a
config-file load) now raises ``ValueError`` before reaching the
mocked download paths. Each test was exercising the documented
startup config-file load scenario; pass ``config_file_path="/any/path"``
to make that intent explicit and route past the gate.
Affected: test_s3_download_success, test_gcs_download_success,
test_invalid_url_format, test_download_failure_handling,
test_file_cleanup.
``get_instance_fn`` previously routed any ``s3://`` / ``gcs://``
value into ``_load_instance_from_remote_storage`` regardless of how
the value got there. The function ultimately calls
``spec.loader.exec_module(module)`` — Python in the proxy process. On
admin-callable endpoints that accept a ``target`` / ``custom_handler``
field from the request body (e.g. ``/config/pass_through_endpoint``,
custom-callback registration), that is a one-step admin-to-RCE
primitive: any future privilege-escalation bug becomes immediate
code execution.
The documented operator flow for remote-module loading is
``litellm_settings.callbacks: ["s3://bucket/module.instance"]`` in
``config.yaml``. That path always carries the YAML's
``config_file_path`` through to ``get_instance_fn``. Use the presence
of ``config_file_path`` as the discriminator: refuse remote URLs
when it is absent (the request-body path) unless the operator
explicitly opts back in via
``LITELLM_ALLOW_REMOTE_INSTANCE_FN_FROM_API=true``.
The three success/failure/audit-log callback-loop call sites in
``proxy_server.py:load_config`` were already running inside the
startup config-file load but had stopped threading
``config_file_path`` through. Pass it through so the documented
``s3://`` callback flow continues to work unchanged.
Tests cover: remote URL without ``config_file_path`` raises;
remote URL with the opt-in env reaches the loader; remote URL
with ``config_file_path`` passes (documented startup flow); local
dotted-name imports unaffected.
The enterprise package is installed as `litellm_enterprise` (per
enterprise/pyproject.toml), but several tests imported it as
`enterprise.litellm_enterprise.*` — a path that only resolves
because the repo root happens to sit on sys.path, letting Python's
implicit namespace package machinery discover `enterprise/` as a
directory.
This breaks any test runner that relocates source (e.g. the
mutation-testing workflow, which copies tests under `mutants/`) and
also caused two `patch()` strings to target a module path that does
not match what production code imports — meaning those mocks were
never actually patching the production module's attribute.
Replace `from enterprise.litellm_enterprise.` with the canonical
`from litellm_enterprise.` across 6 test files, and fix two
`patch()` target strings (and one `sys.modules` patch key in the
SSO test) to match.
* feat(ui): search teams by team ID alongside name
The Teams page search box only matched team_alias, so pasting a team UUID
returned zero results. Detect when the input is a full UUID and route it
to the team_id filter instead; otherwise keep the existing alias substring
search. Placeholder now reads "Search teams by name or ID...".
Resolves LIT-2648
* refactor: search teams via backend OR clause, drop client-side UUID detection
Adds a `search` query param to /v2/team/list that ORs across team_id
(exact) and team_alias (case-insensitive contains), so the search box
sends one param regardless of input format. Removes the isLikelyTeamId
helper and the client-side branching it fed.
* fix(ui): resolve created_by to human-readable name for team keys
The team's Virtual Keys table rendered a raw UUID under Created By
for keys created on behalf of a real user, and the key details page
header showed "-" because it was reading the wrong field
(user_email/user_id instead of created_by_user).
- TeamVirtualKeysTable Created By column now prefers
created_by_user.user_alias > user_email > UUID, with a Popover
on hover that surfaces all three fields with copy icons
(matches the existing AllKeys table pattern in VirtualKeysTable.tsx)
- key_info_view passes the resolved created_by_user value to the
details-page header so it renders the readable name
Resolves LIT-2517
* fix(ui): add created_by to KeyResponse type
The backend returns created_by on every key row, but the frontend
type omitted it. The Created By cell already reads the field via
info.row.original, which trips the production typecheck.
* feat(ui): add Expires to key Overview header; merge User into one field
The key details page header omitted Expires (only Settings tab had it)
and showed User Email + User ID as two separate rows. This PR:
- adds Expires below Created At, reusing the Settings tab's
formatTimestamp(...) ?? "Never" formatting so both views agree
- merges User Email / User ID into a single "User" field that
displays alias / email / user_id (in that fallback order) with a
Popover on hover exposing all three with copy icons — mirrors the
Created By pattern in TeamVirtualKeysTable.tsx and VirtualKeysTable.tsx
Refs LIT-2517
* chore(ui): User field icon + alias-primary test
Address review feedback on #27696:
- Swap MailOutlined → UserOutlined on the merged User cell; the
envelope icon implied "this is an email" but the cell can render
alias / email / user_id depending on what's available.
- Add a test asserting userAlias displays as primary and overrides
userEmail — closes the gap where a fallback-order regression
would have silently passed.
* fix(ui): truncate long User values and reshuffle header layout
- Swap column groupings so Created By stays paired with Created At
(matches the pre-merge layout); User and Expires now share col 1.
- Ellipsis-truncate the visible User cell at maxWidth 200 so a raw
UUID fallback doesn't sprawl. Full identity still revealed via the
hover Popover.
- Cap each Popover row at maxWidth 220 so a UUID truncates inside the
panel too; antd's built-in ellipsis tooltip surfaces the full value.
* fix: invalidate cached tag object on tag budget reset (#27481) (#27572)
Squash-merged by litellm-agent from oss-agent-shin's PR.
* chore(mcp): tighten stdio server registration paths (#27570)
Squash-merged by litellm-agent from stuxf's PR.
* fix(proxy): clear MCP OpenAPI mappings on server eviction; widen budget cache invalidation
Evict OpenAPI tools from global_mcp_tool_registry and strip tool_name_to_mcp_server_name_mapping entries when a server leaves the runtime registry (remove_server and approval-status eviction). Invalidate user_api_key_cache for keys, orgs, and team members on budget-tier spend resets alongside tags.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(mcp): align update_server eviction with remove_server name fallback
Document budget-reset test assertion flip (cross-pod cache staleness).
Greptile: eviction now pops by server_id then server_name like remove_server;
test docstring explains assert_not_awaited -> assert_any_await change.
Co-authored-by: Cursor <cursoragent@cursor.com>
* Fix org budget cache invalidation
---------
Co-authored-by: oss-agent-shin <ext-agent-shin@berri.ai>
Co-authored-by: stuxf <70670632+stuxf@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Greptile flagged that the strict isinstance(dict) guard in
_encryption_boundary_key would silently return None for any non-dict input,
including a LiteLLM_Params Pydantic instance, which exposes a custom .get()
method and is intended to be used dict-style in some router paths. If such
an instance ever flowed into healthy_deployments, the guard would drop every
candidate from boundary matching and fall through to the full deployment
pool, i.e. trigger the exact invalid_encrypted_content failure this check
exists to prevent.
Loosen the guard to accept any object exposing a callable .get(): plain
dicts (the common case) and LiteLLM_Params-style Pydantic instances. The
function still returns None for non-dict-like values (None, lists, strings,
ints, bare objects).
Adds regression tests covering:
- LiteLLM_Params Pydantic instance resolves to the same boundary tuple as
an equivalent plain dict
- non-dict-like values and dicts missing required fields still return None
When a Responses API follow-up switches model_name (e.g. gpt-5.3-codex ->
gpt-5.4, or to a LiteLLM-side alias of the same Azure deployment), the
router has already filtered healthy_deployments to the new group, so the
originating model_id is no longer present. The encrypted_content_affinity
check would log "decoded deployment not found" and fall back to the full
deployment pool, where simple-shuffle could land on a different Azure
resource and trip a 400 invalid_encrypted_content.
Fall back to pinning by the originating deployment's encryption boundary
(api_base + api_key) when the model_id miss is across model groups. The
encrypted_content travels with the Azure resource, not the model_name,
so any deployment on the same resource accepts it.
LIT-2531
* fix(tests): drop deprecated OpenAI-Beta realtime header
OpenAI deprecated the 'OpenAI-Beta: realtime=v1' header; the live
service now returns code 4000 invalid_beta with
"Unknown beta requested: 'realtime'.". Two integration tests in
tests/llm_translation/realtime/test_realtime_guardrails_openai.py
hardcoded the header and started failing across all PRs.
Library code is unaffected: the OpenAI realtime handler only
forwards 'OpenAI-Beta: realtime=v1' upstream when the proxy *client*
sends it (litellm/llms/openai/realtime/handler.py). Default proxy
behavior uses the GA protocol.
Connect to OpenAI without the deprecated header, and accept the GA
event name 'response.output_audio_transcript.delta' alongside the
beta-protocol name 'response.audio_transcript.delta' for the
transcript-delta assertion.
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
* fix(logging): post_call tolerates non-JSON-serializable values
post_call() did json.dumps(original_response) without default=str, so
any provider passing a dict containing datetime/Decimal/etc. would
raise TypeError. Bedrock batch retrieval hits this with
get_model_invocation_job() responses that include datetime fields
(submitTime, lastModifiedTime, endTime), failing
tests/batches_tests/test_bedrock_files_and_batches.py::test_async_file_and_batch
across all PRs.
Pass default=str so non-serializable values fall back to str().
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
* fix(tests): mock boto3 in bedrock retrieve batch test
The test patched AsyncHTTPHandler.get, but the bedrock retrieve
handler uses boto3.client('bedrock').get_model_invocation_job
directly, so the real AWS call was being made on every run, failing
with AccessDeniedException because the hardcoded test ARN belongs to
a different AWS account.
- Mock boto3.client and BedrockBatchesConfig.get_credentials so the
test never touches AWS.
- Use status=Completed in the mock response so output_file_id is
populated (the handler intentionally leaves it None for
non-completed jobs).
- Assert the predicted per-job output object URI (matches what the
handler actually returns) instead of the bare output prefix.
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
* docs(tests): include GA event name in guardrail-block test docstring
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
* ci: add manually-triggered mutation testing smoke workflow
Adds a workflow_dispatch-only GitHub Actions workflow that runs mutmut
against a single source/test pair (router_settings_endpoints) to validate
the tooling end-to-end before scaling.
The workflow reinstalls litellm non-editable so the mutants/ sandbox is
not shadowed by the editable .pth on sys.path, and sets PYTHONPATH so
the trampolined sandbox copy wins over site-packages.
mutmut itself is pulled in via uv run --with so it does not appear in
uv.lock or affect the shared dev environment.
Includes a temporary push: trigger scoped to this branch so we can
iterate before the workflow file lands on the default branch — to be
removed before merging (workflow_dispatch only requires the file on the
default branch to surface the manual trigger button).
* ci(mutation): disable rerun and xdist plugins for mutmut runs
mutmut's in-process pytest.main() call hits
`INTERNALERROR: no option named 'filtered_exceptions'` from
pytest-retry's pytest_configure hook. Reruns are also wrong for
mutation testing — a "failed" mutant test that gets retried would
mask which mutants are killed vs. survive. Disable retry,
rerunfailures, and xdist via pytest_add_cli_args in [tool.mutmut].
* ci(mutation): uninstall pytest-retry before mutmut runs
`-p no:retry` (and similar names) didn't match pytest-retry's
entry-point name, so the plugin still loaded and crashed during
mutmut's "Running clean tests" phase. Uninstalling the package is
surgical and doesn't depend on guessing the entry-point name.
* ci(mutation): emit per-survivor diffs to run-page summary + artifact
The previous artifact only contained `mutmut results` text (which in
mutmut 3.x lists survivor names but not the actual mutations). Adds:
- `mutmut export-cicd-stats` to produce mutmut-cicd-stats.json with the
killed/survived/total scoreboard.
- `mutmut show <name>` per surviving mutant to capture each mutation as
a unified diff.
- A `mutmut-report.md` that combines summary + run-progress tail +
per-survivor diffs, written to both the artifact and
$GITHUB_STEP_SUMMARY (visible on the run page, no download needed).
- Corrected artifact paths: stats files live under mutants/, not the
project root.
- The trampolined source file from the sandbox so survivors can be
inspected even outside `mutmut show`.
* ci(mutation): document intended manual weekly cadence in trigger comment
* ci(mutation): generate ACH-style report with embedded function bodies
Replaces the inline bash markdown generation with a Python script that:
- Groups survivors by function (one section per function, function body
shown once per section, surviving mutants nested as subsections)
- Embeds each enclosing function's source via Python AST (so the agent
has full context, not just a 3-line `mutmut show` diff)
- Inlines the existing test file(s) listed in [tool.mutmut].tests_dir
- Writes an ACH-style task description at the bottom following the
prompt template from arXiv 2501.12862
Output goes to mutation-report.md (artifact) and the head of the file
is appended to $GITHUB_STEP_SUMMARY for at-a-glance visibility.
* fix(mutation report): correctly parse function names with leading underscores
mutmut's mutant-name prefix is x_ (single underscore), so a function
named _foo produces mutants x__foo__mutmut_N. The previous regex
\.x__(.+)__mutmut_ ate the function's leading underscore as part of
the prefix. Changed to \.x_(.+)__mutmut_ so leading underscores are
preserved in the captured function name; verified for normal, leading-
underscore, and dunder-method names.
* feat(mutation report): full Meta ACH-style rendering with MUTANT delimiters
For each surviving mutant, parse the mutmut sandbox trampoline file and
render the mutated function as it appears in the source — with the
differing lines wrapped in `# MUTANT START` / `# MUTANT END` comments,
matching the format from Meta's ACH paper (arXiv 2501.12862, Table 1).
Renames the function header back to its original name so the agent sees
the function as it would appear in the file. Falls back to the unified
diff if the trampoline lookup fails.
Handles replace, insert, and delete diff ops; uses difflib's
SequenceMatcher to find the differing line ranges.
The unified diff is preserved in a collapsible <details> block as
secondary context.
* ci(mutation): scope to whole management_endpoints folder, drop temp push trigger
Final scope before merge:
- paths_to_mutate / tests_dir broadened from one file to the entire
management_endpoints source/test folders
- Trigger is now `workflow_dispatch` only — the temporary push: block
used during workflow iteration is removed
- timeout-minutes bumped from 60 to 350 (just under the GH-hosted job
cap of 360); whole-folder mutation against ~15 files / ~7.5k LOC can
take a few hours
- Artifact path for the trampoline files glob-expanded to cover all
files under mutants/litellm/proxy/management_endpoints/
* fix(mutation report): warn when multiple functions in a file share a name
Addresses the Greptile review concern: ast.walk's first-match-wins
behavior could embed the wrong function body when a file defines the
same name in multiple places (e.g., a module-level helper and a class
method). mutmut's mutant identifier does not carry class context, so
we can't always determine which definition was mutated.
find_function_in_file now returns the start line of every matching
definition; render() surfaces a "Note: N functions named X" warning
in the report when there is more than one match. The first match is
still embedded as the body — the warning tells the reader to verify
manually instead of silently using the wrong context.
Smoke-tested against the existing artifact: single-match files render
unchanged.
* Fix mutation report anchors
* Fix mutation report TOC anchors
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
* feat(bedrock): support retrieve for model-invocation-job batch ARNs
`bedrock.retrieve_batch` previously only handled `:async-invoke/` ARNs
(Twelve Labs Marengo embeddings). The `:model-invocation-job/` ARNs
returned by `CreateModelInvocationJob` (the bulk batch inference API
behind `bedrock.create_batch`) fell through and returned a misleading
data-plane error, leaving created jobs unretrievable through the
LiteLLM batches API.
The two ARN families live on different AWS service endpoints
(`bedrock-runtime` data plane vs `bedrock` control plane), so they need
distinct handlers. This adds:
* `BedrockBatchesHandler._handle_model_invocation_job_status` — calls
the control plane via boto3 (`bedrock:GetModelInvocationJob`),
reusing `BaseAWSLLM.get_credentials` for credential resolution so
model_list / env / role-assumption configs continue to apply. The
response is reshaped into a `LiteLLMBatch` with the same status
mapping `transform_create_batch_response` already uses.
* Output-file-URI prediction. Bedrock surfaces the user-supplied
`s3OutputDataConfig.s3Uri` *prefix* in `GetModelInvocationJob`, but
results actually land at `<prefix>/<job-id>/<basename(input)>.out`.
We compute that single-file URI client-side and surface it as
`output_file_id`, so OpenAI-style `client.files.content(...)` works
without an extra `ListObjectsV2` round-trip. The bare prefix stays
in metadata for callers that want the manifest.
* Dispatch in `litellm/batches/main.py` for the new ARN family,
alongside the existing async-invoke branch.
* Unit tests covering ARN parsing, output-URI prediction (incl. edge
cases), the full status mapping, region resolution precedence, and
failure-message propagation.
Note: `request_counts` is intentionally `(0, 0, 0)` —
`GetModelInvocationJob` does not report per-record counts; getting
accurate numbers requires parsing `manifest.json.out` from the output
S3 prefix, which is left to callers.
Made-with: Cursor
* fix(bedrock): address PR feedback on model-invocation-job retrieve
Addresses Greptile P2 findings on #26834:
1. Use the bare job id (not the full ARN) when constructing the
`api_base` URL for `pre_call` logging. Passing the full ARN double-
counts the `model-invocation-job/` segment and embeds colons in the
path, producing misleading log lines.
2. Drop the `or output_prefix` fallback when `_predict_output_file_uri`
returns None. A bare prefix is not a downloadable object and surfacing
it as `output_file_id` re-creates the very NoSuchKey bug this handler
exists to fix. The bare prefix is still preserved in
`metadata["output_s3_uri"]` for callers that want to do their own S3
listing or read `manifest.json.out`.
`metadata["output_file_uri"]` uses "" rather than None to satisfy the
OpenAI Batch metadata schema (`dict[str, str]`); callers should branch
on the typed `output_file_id` field instead.
Also expands test coverage on the new code path:
- new "stay None" regression test for the prediction-fail case
- pre_call/post_call logging hook assertions (incl. the bare-id URL)
- explicit cancelled_at / expired_at coverage
- _to_epoch type-handling matrix and the boto3 ImportError branch
- defensive _extract_region_from_bedrock_arn exception path
- empty-basename case for _predict_output_file_uri
Patch coverage on the changed lines is now 100% (the only remaining
uncovered lines in the file belong to the pre-existing
`_handle_async_invoke_status` method, which this PR does not touch).
Made-with: Cursor
* test(bedrock): cover retrieve_batch dispatch for both ARN families
Codecov flagged 8 uncovered lines on `litellm/batches/main.py` after
this PR refactored the Bedrock dispatch into a single guard with two
sub-branches (`async-invoke` + `model-invocation-job`). Existing tests
exercised the handlers directly but not the dispatch in `main.py`.
Adds `tests/test_litellm/batches/test_retrieve_batch_bedrock_dispatch.py`
with 6 mocked tests that exercise `litellm.retrieve_batch` end-to-end
for the dispatch logic:
- async-invoke ARN routes to `_handle_async_invoke_status`
- async-invoke ARN with no region falls back to "us-east-1" (preserves
prior behavior on this branch)
- model-invocation-job ARN routes to the new
`_handle_model_invocation_job_status` handler
- model-invocation-job ARN with no region forwards None (so the new
handler can sniff region from the ARN itself, rather than getting
silently routed to us-east-1)
- unrelated bedrock ARN family falls through to the generic
provider-config retrieve path (neither special handler invoked)
- non-bedrock batch ids skip the bedrock dispatch entirely
Both handlers are mocked at the import site so the tests don't hit
AWS — the focus here is purely the new dispatch logic in main.py.
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(bedrock): move retrieve_batch dispatch test to tests/test_litellm/
The dispatch test landed under `tests/test_litellm/batches/`, a new
directory that no upstream `test-unit-*.yml` workflow's `test-path`
allow-list includes. As a result, the test was never executed in CI
and codecov reported `litellm/batches/main.py` patch coverage at
11.11% (8 lines uncovered) — the lines belonging to this PR's
dispatch refactor itself.
Move the file up one level so it matches the
`tests/test_litellm/test_*.py` glob that `test-unit-misc.yml`
already runs, and adjust `sys.path.insert` for the new depth.
The companion handler tests under
`tests/test_litellm/llms/bedrock/batches/test_handler.py` are
unaffected — they're picked up by the `llms` directory in
`test-unit-llm-providers.yml`.
Made-with: Cursor
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(responses): map chat tool_choice to Responses API when bridging from completions
OpenAI /v1/responses rejects tool_choice.function. Normalize forced-function
choice from chat shape to {type, name} in LiteLLMResponsesTransformationHandler.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(responses): strip tool_choice.function when top-level name is set
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
Anthropic rejects tool_use/tool_result when tools is omitted. Always map
and attach the dummy tool in transform_request so CLIs work without
litellm.modify_params.
- Add unit test for transform_request dummy tool with modify_params off
- Adjust parallel function calling integration expectations: Bedrock
Converse still requires modify_params for this path
Co-authored-by: Cursor <cursoragent@cursor.com>
Reject fnmatch wildcards on non-scope claims when the claim string contains
whitespace so malformed iss values cannot match patterns like trusted.*.
Merge every entry when team_id_jwt_field resolves to a list instead of
keeping only the first element.
Co-authored-by: Cursor <cursoragent@cursor.com>
- Extend responses_api_bridge_check when reasoning_effort + summary aliases
(including nested extra_body) without tools
- Merge summary into reasoning_effort for responses bridge; helpers in utils
- Strip summary aliases in GPT-5 chat mapping when not bridged
- Tests for bridge + merge behavior
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(ui): omit allowed_routes from key edit save when unchanged
When a team admin opens Edit Settings on a key with key_type=AI APIs and
saves without changing anything, the UI re-sends the existing allowed_routes
value, which the backend's _check_allowed_routes_caller_permission gate
rejects for non-proxy-admins (LIT-2681).
Strip allowed_routes from the patch in handleSubmit when it deep-equals the
original keyData.allowed_routes. The backend treats absence as "leave alone,"
so no-op saves now succeed for non-admins. Admins explicitly editing the
field still send the new value.
* fix(ui): order-insensitive allowed_routes diff + cover null-original case
Address Greptile review:
- Switch the "is allowed_routes unchanged" check to a Set-based comparison so
a server-side reorder of the array doesn't register as a user edit and
re-trigger LIT-2681.
- Add two regression tests: (1) keyData.allowed_routes is null and the form
is untouched — patch should strip the field; (2) server returned routes in
a different order than the user originally entered — patch should still
recognize the value as unchanged.
* chore(ui): strip ticket refs and tighten comments in key edit fix
- Remove internal-tracker references from in-code comments
- Tighten the WHY comment in handleSubmit to two lines
- Drop redundant test-block comments — test names already describe the case
* fix(ui): annotate Set<string> generic in allowed_routes diff to fix tsc
