Rename job keys from generic 'test' to descriptive names (e.g.,
'core-utils', 'proxy-auth', 'router') so GitHub checks display as
'core-utils / run' instead of 'test / test'.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replace monolithic matrix workflow with individual, descriptively-named
workflow files. Each workflow uses a shared reusable base and follows
least-privilege security: zero secrets, read-only permissions, SHA-pinned
actions, persist-credentials: false, and env-var indirection to prevent
template injection.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Instead of returning a 400 error when return_to is passed without
control_plane_url configured, silently ignore it and proceed with
the normal same-origin SSO flow.
Add `if: github.repository == 'BerriAI/litellm'` guard to scheduled
jobs in stale.yml, codeql.yml, and create_daily_staging_branch.yml.
This matches the existing pattern in auto_update_price_and_context_window.yml
and prevents these workflows from running unnecessarily on fork repositories.
Verify that spend_logs_metadata is correctly merged into combined_metadata
and flows through to Prometheus custom labels. Tests cover: basic extraction,
precedence when keys overlap, all three metadata sources combined, and None
handling.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add spend_logs_metadata to combined_metadata in Prometheus logger so
custom metadata from x-litellm-spend-logs-metadata header can be used
in Prometheus custom labels.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Thread project_alias alongside project_id through the metadata pipeline so
callbacks receive the human-readable project name. DRY up duplicate metadata
dict construction in proxy_track_cost_callback and pass_through_endpoints by
reusing get_sanitized_user_information_from_key — future metadata fields only
need adding in one place.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Two independent bugs prevented post-call OpenAI Moderation guardrail
results from reaching downstream logging callbacks (Langfuse, Datadog).
Bug 1: process_output_response() created a throwaway request_data dict,
so guardrail info written by @log_guardrail_information was discarded.
Fixed by threading the real request_data from the unified guardrail
dispatcher through all 13 BaseTranslation handlers, with litellm_metadata
injection preserved for third-party guardrails (Zscaler, Prompt Security).
Also extended to process_output_streaming_response for consistency.
Bug 2: The @log_guardrail_information decorator collapsed the full
moderation API response (categories, scores, flagged status) to "allow".
Fixed by overriding _process_response/_process_error on
OpenAIModerationGuardrail to stash and log the full response, following
the established Model Armor pattern.
