* refactor(types): move LitellmUserRoles and KeyManagementRoutes into litellm.types.proxy.auth.user_roles
Part of LIT-9423
* refactor(types): annotate GenerateRequestBase containers and check_max_budget
Part of LIT-9423
* refactor(types): move GenerateRequestBase and LiteLLM_ObjectPermissionBase into litellm.types.proxy.management_endpoints.request_base
Part of LIT-9423
* refactor(types): annotate user request metadata and check_user_info validators
Part of LIT-9423
* refactor(types): move user request models into litellm.types.proxy.management_endpoints.user_requests
Part of LIT-9423
* refactor(types): move MemberDeleteRequest into litellm.types.proxy.management_endpoints.team_endpoints
Part of LIT-9423
* fix(types): restore main's _types.py content alongside the request_base move
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
* style(types): merge request_base re-exports into one import block
Part of LIT-9423
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(types): move LitellmUserRoles and KeyManagementRoutes into litellm.types.proxy.auth.user_roles
Part of LIT-9423
* refactor(types): annotate GenerateRequestBase containers and check_max_budget
Part of LIT-9423
* refactor(types): move GenerateRequestBase and LiteLLM_ObjectPermissionBase into litellm.types.proxy.management_endpoints.request_base
Part of LIT-9423
* refactor(types): annotate user request metadata and check_user_info validators
Part of LIT-9423
* refactor(types): move user request models into litellm.types.proxy.management_endpoints.user_requests
Part of LIT-9423
* fix(types): restore main's _types.py content alongside the request_base move
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
* style(types): merge request_base re-exports into one import block
Part of LIT-9423
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(types): move LitellmUserRoles and KeyManagementRoutes into litellm.types.proxy.auth.user_roles
Part of LIT-9423
* refactor(types): annotate GenerateRequestBase containers and check_max_budget
Part of LIT-9423
* refactor(types): move GenerateRequestBase and LiteLLM_ObjectPermissionBase into litellm.types.proxy.management_endpoints.request_base
Part of LIT-9423
* refactor(types): annotate key request containers and drop_blank_team_id
Part of LIT-9423
* refactor(types): move key request models into litellm.types.proxy.management_endpoints.key_requests
Part of LIT-9423
* fix(types): keep MappingProxyType exported from litellm.proxy._types for star importers
Part of LIT-9423
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
* feat(otel): let a team strip captured message content from its own OTel v2 destination
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(proxy): split the shared callback option conflict check and sync dashboard API types
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(otel): address review feedback on team capture_message_content
Classify capture_message_content as NotSecret in the credential slot registry, inject test exporters through register_exporter_factory instead of patching _exporter_from_spec, type the test helpers, and stop reassigning processor in build_tracer_provider
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(otel): add integration cells for team capture_message_content
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(otel): cover weave_otel and newrelic team destinations in capture_message_content cells
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(otel): stop rejecting client-sent capture_message_content at the request body boundary
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* feat(otel): let a team capture_message_content override the global setting in both directions
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(otel): keep a team's capture_message_content on its own OTel v2 destination
The setting no longer rides the flattened team callback vars, so a sibling destination and a routed provider follow the global mode. Request bodies get the base 400 back, a failure-only entry rejects the setting, and entries for one backend must agree
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(otel): type the capture_message_content callback validation tests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(otel): type the remaining capture_message_content test signatures
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(otel): mark the new capture_message_content test locals Final
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(otel): default tenant capture to callback_settings.otel and keep CaptureMessageContent formatting bare
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(otel): keep CaptureMessageContent a plain str like main
The str-to-Enum switch changed the public type: the config field's type,
repr and model_dump, a constructor that now raised on unknown values, and
unknown env values coerced to no_content. CaptureMessageContent is the plain
str subclass main ships again, the field is a str, and a
captures_span_content helper replaces the enum property. A test pins that a
published preset's capture mode stays the default for an unowned
destination, which is what main forwards.
* test(otel): drop the module-level CaptureMessageContent import the rewritten test no longer uses
* fix(lint): keep the merged branch within main's type budgets
Freeze the capture-mode settings model (LIT015) and read stored logging
entries through one typed sequence helper, so the conflicting-capture checks
add no unknown types.
* fix(otel): reject a destination capture_message_content while OTel v2 is off
The legacy OTel callbacks never read the per-destination setting, so a team
could register no_content and still export prompts and replies under the
global capture mode. Registration now refuses the var unless the proxy runs
with LITELLM_OTEL_V2=true, the same rule the Arize transport and New Relic
routing vars follow.
* test(otel): type the OTel v2 fixtures and the v2-off regression test
* fix(otel): accept only no_content and span_only on a team or key destination
OTel v2 writes captured content only to span attributes, so event_only
behaved like no_content and span_and_event like span_only on a
destination. The proxy-wide setting keeps all four values
* docs(otel): say an omitted capture setting follows the proxy's own callback for that backend
* test(otel): describe the general capture fallback in the unowned destination test
---------
Co-authored-by: mrinal <mrinal@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: yucheng-berri <yucheng@berri.ai>
Co-authored-by: yucheng-berri <293926326+yucheng-berri@users.noreply.github.com>
* refactor(anthropic): move passthrough SSE stream assembly into litellm/llms
Part of LIT-9423
* refactor(anthropic): move raw SSE stream assembly helpers out of proxy guardrails
Part of LIT-9423
* refactor(anthropic): give the anthropic_sse re-exports reasoned noqa codes
Part of LIT-9423
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
* test(anthropic): cover the raw SSE helpers in stream_assembly
Part of LIT-9423
* refactor(types): move LitellmUserRoles and KeyManagementRoutes into litellm.types.proxy.auth.user_roles
Part of LIT-9423
* refactor(types): annotate GenerateRequestBase containers and check_max_budget
Part of LIT-9423
* refactor(types): move GenerateRequestBase and LiteLLM_ObjectPermissionBase into litellm.types.proxy.management_endpoints.request_base
Part of LIT-9423
* fix(types): restore main's _types.py content alongside the request_base move
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
* style(types): merge request_base re-exports into one import block
Part of LIT-9423
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(types): annotate key request containers and drop_blank_team_id
Part of LIT-9423
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(constants): move AUTH_OBJECTS_TARGET into litellm.constants
Part of LIT-9423
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* refactor(skills): move NewSkillRequest to litellm.models.skills
Part of LIT-9423
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(terraform): stop sending blocked on litellm_user updates
/user/update writes blocked into the user table upsert, but blocked only
exists as a column on keys, so every litellm_user update failed with a 400
from Prisma. Updates no longer send it. Create sends it only when set to
true, since /user/new applies it to the auto-created key
blocked only applies at creation; litellm_key_block covers changes after that
* fix(terraform): always send blocked on litellm_user create
/user/new fills an omitted blocked from default_internal_user_params, so
leaving it out on create let a proxy-side blocked=true default block the
auto-created key. Create sends the configured value again, including
false, while updates still never send it
* chore(terraform): drop comment on litellm_user create blocked
* fix(terraform): keep litellm_user blocked undeprecated
Create sends blocked again, so it still controls the auto-created key.
Whether to deprecate it in favor of litellm_key_block is left to the
provider maintainers; the docs describe it as creation-only instead
* refactor(anthropic): move prompt cache pricing helper out of the proxy package
Part of LIT-9423
* fix(sdk): resolve litellm.proxy lazily on attribute access
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The layer cleanup stopped import litellm from loading any proxy module, so litellm.proxy was no longer bound and litellm.proxy._types.X raised AttributeError. The module __getattr__ now imports litellm.proxy on first access, which keeps import litellm free of proxy._types and fixes the docs and code-quality checks on main
* refactor(types): move LitellmUserRoles and KeyManagementRoutes into litellm.types.proxy.auth.user_roles
Part of LIT-9423
* refactor(types): move is_jwt into litellm.types.proxy.auth.user_api_key_auth
Part of LIT-9423
* refactor(auth): alias is_jwt import so JWTHandler.is_jwt is not read as recursive
* refactor(types): move complexity router request models next to their base config
Part of LIT-9423
* test(types): cover the old auto-router import path for the moved request models
Part of LIT-9423
* refactor(anthropic): move prompt cache observation lookup out of the proxy hook
Part of LIT-9423
* test(internal_context): exempt moved prompt cache lookup helper from key-family check
* feat(proxy): require trace IDs per team on LLM, MCP and agent requests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test(proxy): assert trace ID authorization outcomes
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): clear trace ID type gate errors
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* style(proxy): format trace ID type check
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): validate trace ID metadata
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): use read-only trace metadata types
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(proxy): skip trace ID metadata validation for teams without dict metadata
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* perf(proxy): check team trace ID setting before route matching
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Each spend-log delete batch and the remaining-rows probe ran inside a
prisma interactive transaction with the default 5s timeout while setting a
30s Postgres statement and lock timeout. A batch that waited on a lock for
more than 5s was closed by the query engine with a 422 and rolled back, and
after three such batches the cleanup run aborted with nothing deleted.
Reuse the partition manager's bounded_tx, which sizes the prisma timeout to
the statement bound plus commit slack, for the delete batch and the probe.
Resolves LIT-8686
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(ui): simplify playground decision endpoint
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(ui): expose both decision API shapes in playground
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(ui): omit undiscovered decision models from examples
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(ui): align decisions form and response views
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
