A Responses request for a provider with a native Responses config that is served
through the chat-completions bridge (use_chat_completions_api or the
openai/chat_completions/ prefix) forwarded every raw kwarg, so a deployment-level
chat_template_kwargs reached OpenAI chat completions and got a 400. The bridge
now keeps only the keys a native dispatch would forward plus allowed_openai_params.
Providers with no native Responses config keep the passthrough
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Usage tracking, compliance and the dashboard now treat both not_run (older spend logs) and skipped as unevaluated through a shared UNEVALUATED_GUARDRAIL_STATUSES set, so old records stop counting as passed. The skipped record is no longer written when the request carried images, since images without text were never dispatched to guardrails before this change and that gap is not a message-scoping skip
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Replaces POST /user/bulk_delete and POST /team/bulk_member_delete with
POST /management/v1/users/bulk_delete and
POST /management/v1/teams/{team_id}/members/bulk_delete per the Management
API modernization one-pager: {data} envelopes, application/problem+json
errors with urn:litellm:error:* types, 422 on unknown body fields, 400 on
unknown query params, 403 on authorization failures, 404 on unknown team.
Route checks now match parametrized management/v1 paths so team-scoped
callers reach the endpoint's own authorization and get a 403 problem
instead of the generic 401.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Follows the Management API modernization design: plural resource under
/management/v1, {data, meta} response envelope, unknown request fields
rejected with 422, and RFC 9457 problem+json for request-level errors.
Body validation failures under /management/v1 now answer 422 instead of
the 400 query-parameter problem. /user/bulk_new is removed.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Forwarded client headers on bridged /v1/responses calls were serialized into the
OpenAI JSON body as extra_headers when EXPERIMENTAL_OPENAI_BASE_LLM_HTTP_HANDLER
was set, and OpenAI rejected the request with unknown_parameter. The headers are
already merged into the outgoing HTTP headers, so only set the SDK-style
optional param on the SDK client path
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The proxy answered a duplicate credential_name with a 500 carrying Prisma's
unique-constraint message, so terraform apply against a credential the state
had lost died with an opaque database error. Classify that response as a
conflict, adopt the existing credential with a PATCH that carries model_id,
and set the resource ID only once the adopt succeeds so a failed PATCH does
not taint a credential this run never owned
Squashed from the commits on #39745 with authorship preserved
Fixes https://github.com/BerriAI/terraform-provider-litellm/issues/8
The per-guardrail status a scoped-out evaluation records is now skipped, matching the
skip_*_in_guardrail settings that cause it. Request-level rollup still maps it to not_run
so the StandardLoggingPayload status contract is unchanged
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
get_litellm_params() keys such as model_alias_map, completion_call_id and
custom_prompt_dict were missing from all_litellm_params, so when a bridge
forwarded litellm_params as completion kwargs they were swept into extra_body
and OpenAI rejected the call with "Unknown parameter: 'model_alias_map'".
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The PLR0206 fix renamed the property to get_api_version and dropped it.
AzureFoundryModelInfo().api_version does resolve today, so removing it
breaks external callers. Restore it as a zero-arg property delegating to
the staticmethod, which satisfies PLR0206 either way.
Bedrock only runs a contextualGroundingPolicy when the ApplyGuardrail payload
carries grounding_source and query qualifiers. Callers sending ordinary system
and user messages never got those, so a configured grounding threshold was
silently skipped on /v1/chat/completions and /guardrails/apply_guardrail.
When no explicit grounding_source or query tags are present, system and
developer text is sent as grounding_source and the latest user message as
query. The apply_guardrail response branch now forwards the request messages,
which it previously dropped.
Resolves LIT-4224
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>